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@article{dickson_circuit-theory_2019,
title = {Circuit-theory applications to connectivity science and conservation},
volume = {33},
issn = {1523-1739},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/cobi.13230},
doi = {10.1111/cobi.13230},
abstract = {Conservation practitioners have long recognized ecological connectivity as a global priority for preserving biodiversity and ecosystem function. In the early years of conservation science, ecologists extended principles of island biogeography to assess connectivity based on source patch proximity and other metrics derived from binary maps of habitat. From 2006 to 2008, the late Brad McRae introduced circuit theory as an alternative approach to model gene flow and the dispersal or movement routes of organisms. He posited concepts and metrics from electrical circuit theory as a robust way to quantify movement across multiple possible paths in a landscape, not just a single least-cost path or corridor. Circuit theory offers many theoretical, conceptual, and practical linkages to conservation science. We reviewed 459 recent studies citing circuit theory or the open-source software Circuitscape. We focused on applications of circuit theory to the science and practice of connectivity conservation, including topics in landscape and population genetics, movement and dispersal paths of organisms, anthropogenic barriers to connectivity, fire behavior, water flow, and ecosystem services. Circuit theory is likely to have an effect on conservation science and practitioners through improved insights into landscape dynamics, animal movement, and habitat-use studies and through the development of new software tools for data analysis and visualization. The influence of circuit theory on conservation comes from the theoretical basis and elegance of the approach and the powerful collaborations and active user community that have emerged. Circuit theory provides a springboard for ecological understanding and will remain an important conservation tool for researchers and practitioners around the globe.},
language = {en},
number = {2},
urldate = {2023-03-08},
journal = {Conservation Biology},
author = {Dickson, Brett G. and Albano, Christine M. and Anantharaman, Ranjan and Beier, Paul and Fargione, Joe and Graves, Tabitha A. and Gray, Miranda E. and Hall, Kimberly R. and Lawler, Josh J. and Leonard, Paul B. and Littlefield, Caitlin E. and McClure, Meredith L. and Novembre, John and Schloss, Carrie A. and Schumaker, Nathan H. and Shah, Viral B. and Theobald, David M.},
year = {2019},
note = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/cobi.13230},
keywords = {ya, corridors, corredores, barreras, barriers, corriente eléctrica, dispersal, dispersión, ecological flow, electrical current, flujo ecológico, genética del paisaje, landscape genetics, 廊道, 扩散, 景观, 生态流, 电路模型, 障碍},
pages = {239--249},
file = {Accepted Version:/home/lucasjardim/Zotero/storage/2K34HRK3/Dickson et al. - 2019 - Circuit-theory applications to connectivity scienc.pdf:application/pdf;Snapshot:/home/lucasjardim/Zotero/storage/UREKJ47P/cobi.html:text/html},
}
@article{gorelick_google_2017,
title = {Google {Earth} {Engine}: {Planetary}-scale geospatial analysis for everyone},
url = {https://doi.org/10.1016/j.rse.2017.06.031},
doi = {10.1016/j.rse.2017.06.031},
journal = {Remote Sensing of Environment},
author = {Gorelick, Noel and Hancher, Matt and Dixon, Mike and Ilyushchenko, Simon and Thau, David and Moore, Rebecca},
year = {2017},
note = {Publisher: Elsevier},
}
@article{anderson_resilient_2023,
title = {A resilient and connected network of sites to sustain biodiversity under a changing climate},
volume = {120},
url = {https://www.pnas.org/doi/10.1073/pnas.2204434119},
doi = {10.1073/pnas.2204434119},
abstract = {Motivated by declines in biodiversity exacerbated by climate change, we identified a network of conservation sites designed to provide resilient habitat for species, while supporting dynamic shifts in ranges and changes in ecosystem composition. Our 12-y study involved 289 scientists in 14 study regions across the conterminous United States (CONUS), and our intent was to support local-, regional-, and national-scale conservation decisions. To ensure that the network represented all species and ecosystems, we stratified CONUS into 68 ecoregions, and, within each, we comprehensively mapped the geophysical settings associated with current ecosystem and species distributions. To identify sites most resilient to climate change, we identified the portion of each geophysical setting with the most topoclimate variability (high landscape diversity) likely to be accessible to dispersers (high local connectedness). These “resilient sites” were overlaid with conservation priority maps from 104 independent assessments to indicate current value in supporting recognized biodiversity. To identify key connectivity areas for sustaining species movement in response to climate change, we codeveloped a fine-scale representation of human modification and ran a circuit-theory-based analysis that emphasized movement potential along geographic climate gradients. Integrating areas with high values for two or more factors, we identified a representative, resilient, and connected network of biodiverse lands covering 35\% of CONUS. Because the network connects climatic gradients across 250,000 biodiversity elements and multiple resilient examples of all geophysical settings in every ecoregion, it could form the spatial foundation for targeted land protection and other conservation strategies to sustain a diverse, dynamic, and adaptive world.},
number = {7},
urldate = {2023-03-01},
journal = {Proceedings of the National Academy of Sciences},
author = {Anderson, Mark G. and Clark, Melissa and Olivero, Arlene P. and Barnett, Analie R. and Hall, Kimberly R. and Cornett, Meredith W. and Ahlering, Marissa and Schindel, Michael and Unnasch, Bob and Schloss, Carrie and Cameron, D. Richard},
month = feb,
year = {2023},
note = {Publisher: Proceedings of the National Academy of Sciences},
keywords = {ya},
pages = {e2204434119},
file = {Anderson et al_2023_A resilient and connected network of sites to sustain biodiversity under a.pdf:/home/lucasjardim/Zotero/storage/5BSVEF9F/Anderson et al_2023_A resilient and connected network of sites to sustain biodiversity under a.pdf:application/pdf;Anderson et al. - 2023 - A resilient and connected network of sites to sust.pdf:/home/lucasjardim/Zotero/storage/3S3HJJ2G/Anderson et al. - 2023 - A resilient and connected network of sites to sust.pdf:application/pdf},
}
@techreport{duncanson_effectiveness_2022,
type = {preprint},
title = {The {Effectiveness} of {Global} {Protected} {Areas} for {Climate} {Change} {Mitigation}},
url = {https://www.researchsquare.com/article/rs-2318743/v1},
abstract = {Abstract
Forests play a critical role in stabilizing Earth’s climate. Establishing Protected Areas (PAs) represents one approach to forest conservation, but PAs were rarely created to mitigate climate change. The global impact of PAs on the carbon cycle, through avoided emissions and/or enhanced growth, has not previously been quantified due to a lack of accurate global carbon stock maps. Here we used {\textasciitilde}412 million lidar samples from NASA’s GEDI mission to estimate a total of 19.7 +/- 1.8 Gt of additional Aboveground Biomass (AGB) associated with PA status. These higher C stocks are primarily attributed to avoided emissions, and are roughly equivalent to annual global fossil fuel emissions. The total measured PA AGB was 125.3 Gt (+/- 0.63), 26\% of all mapped terrestrial woody AGB. These results underscore the importance of conservation of high integrity1, high biomass forests for avoiding carbon emissions and preserving future sequestration.},
language = {en},
urldate = {2022-12-17},
institution = {In Review},
author = {Duncanson, Laura and Liang, Mengyu and Leitold, Veronika and Armston, John and Moorthy, Sruthi M. and Dubayah, Ralph and Costedoat, Sebastien and Enquist, Brian and Fatoyinbo, Lola and Goetz, Scott and Gonzalez-Roglich, Mariano and Merow, Cory and Roehrdanz, Patrick and Tabor, Karyn and Zvoleff, Alex},
month = dec,
year = {2022},
doi = {10.21203/rs.3.rs-2318743/v1},
file = {Duncanson et al. - 2022 - The Effectiveness of Global Protected Areas for Cl.pdf:/home/lucasjardim/Zotero/storage/NTFGGMSK/Duncanson et al. - 2022 - The Effectiveness of Global Protected Areas for Cl.pdf:application/pdf},
}
@misc{noauthor_ergo_nodate,
title = {{ERGo} {Landforms} - {ScienceBase}-{Catalog}},
url = {https://www.sciencebase.gov/catalog/item/564b4bb0e4b0ebfbef0d31d2},
urldate = {2022-12-15},
file = {ERGo Landforms - ScienceBase-Catalog:/home/lucasjardim/Zotero/storage/MFTHRULK/564b4bb0e4b0ebfbef0d31d2.html:text/html},
}
@article{leonardi_pastclim_2023,
title = {pastclim 1.2: an {R} package to easily access and use paleoclimatic reconstructions},
volume = {2023},
issn = {1600-0587},
shorttitle = {pastclim 1.2},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/ecog.06481},
doi = {10.1111/ecog.06481},
abstract = {The recent development of continuous paleoclimatic reconstructions covering hundreds of thousands of years paved the way for a large number of studies from disciplines ranging from paleoecology to archaeology, conservation to population genetics, macroevolution to anthropology and human evolution to linguistics. Unfortunately, (paleo)climatic data can be challenging to extract and analyze for scholars unfamiliar with such specific file formats. Here we present pastclim, an R package facilitating the access and use of paleoclimatic reconstructions. It currently includes two of such datasets, covering respectively the last 120 000 and 800 000 years, and a vignette provides instructions on how to include additional datasets. The package contains a set of functions to quickly and easily recover the climate for time periods of interest either for the whole world or specific areas, extract data from locations scattered in space and/or time, retrieve time series from individual sites, and manage the ice or land coverage, offering a handy platform to include the climate of the past into existing or new analyses and pipelines.},
language = {en},
number = {3},
urldate = {2023-03-06},
journal = {Ecography},
author = {Leonardi, Michela and Hallett, Emily Y. and Beyer, Robert and Krapp, Mario and Manica, Andrea},
year = {2023},
note = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/ecog.06481},
keywords = {evolutionary biology, paleoclimate, paleoecology, R package},
pages = {e06481},
file = {Leonardi et al_2023_pastclim 1.pdf:/home/lucasjardim/Zotero/storage/3E3IL24P/Leonardi et al_2023_pastclim 1.pdf:application/pdf;Snapshot:/home/lucasjardim/Zotero/storage/P5CQ8DSW/ecog.html:text/html},
}
@article{melo_sensitivity_2021,
title = {Sensitivity and {Performance} {Analyses} of the {Distributed} {Hydrology}–{Soil}–{Vegetation} {Model} {Using} {Geomorphons} for {Landform} {Mapping}},
volume = {13},
copyright = {http://creativecommons.org/licenses/by/3.0/},
issn = {2073-4441},
url = {https://www.mdpi.com/2073-4441/13/15/2032},
doi = {10.3390/w13152032},
abstract = {Landform classification is important for representing soil physical properties varying continuously across the landscape and for understanding many hydrological processes in watersheds. Considering it, this study aims to use a geomorphology map (Geomorphons) as an input to a physically based hydrological model (Distributed Hydrology Soil Vegetation Model (DHSVM)) in a mountainous headwater watershed. A sensitivity analysis of five soil parameters was evaluated for streamflow simulation in each Geomorphons feature. As infiltration and saturation excess overland flow are important mechanisms for streamflow generation in complex terrain watersheds, the model’s input soil parameters were most sensitive in the “slope”, “hollow”, and “valley” features. Thus, the simulated streamflow was compared with observed data for calibration and validation. The model performance was satisfactory and equivalent to previous simulations in the same watershed using pedological survey and moisture zone maps. Therefore, the results from this study indicate that a geomorphologically based map is applicable and representative for spatially distributing hydrological parameters in the DHSVM.},
language = {en},
number = {15},
urldate = {2023-03-07},
journal = {Water},
author = {Melo, Pâmela A. and Alvarenga, Lívia A. and Tomasella, Javier and Mello, Carlos R. and Martins, Minella A. and Coelho, Gilberto},
month = jan,
year = {2021},
note = {Number: 15
Publisher: Multidisciplinary Digital Publishing Institute},
keywords = {complex terrain, DHSVM, fully distributed, landscape patterns},
pages = {2032},
file = {Full Text PDF:/home/lucasjardim/Zotero/storage/LAXJLY9A/Melo et al. - 2021 - Sensitivity and Performance Analyses of the Distri.pdf:application/pdf},
}
@article{raaflaub_effect_2006,
title = {The effect of error in gridded digital elevation models on the estimation of topographic parameters},
volume = {21},
issn = {1364-8152},
url = {https://www.sciencedirect.com/science/article/pii/S1364815205000526},
doi = {10.1016/j.envsoft.2005.02.003},
abstract = {Digital elevation models (DEMs) provide the basic information required to characterise the topographic attributes of terrain. The primary derived topographic parameters associated with DEMs are slope and aspect. Slope and aspect maps are used in a wide variety of applications. Slope and aspect can be used to calculate other significant topographic parameters such as upslope area and topographic index. The topographic index, in turn, can be used by distributed hydrological models to characterise the spatial distribution of terrain moisture. Many algorithms have been developed to calculate slope, aspect and upslope area from DEMs – specifically from gridded DEMs – but little work has gone into determining the uncertainty in these parameters, or the affect of this uncertainty in further applications. The accuracy of these parameters is dependent both on the algorithm and on the errors associated with the DEM itself. Since it is almost impossible to model all the errors associated with a given slope/aspect algorithm and since a DEM is normally only provided with a single rms error, simple error propagation is not adequate to determine the error associated with the derived topographic parameters. A more rigorous method of determining the affect of DEM errors on derived topographic parameters is with statistical analysis using Monte Carlo simulation and error realisations of the DEMs. In this research we demonstrate that the error sensitivity of slope decreases as the number of neighbours used in the algorithm increases, hence steepest neighbour algorithms, which are common in hydrology are more sensitive to DEM error than algorithms that use four or more neighbours. In contrast, the average error sensitivity of aspect to DEM error is not dependent on the algorithm used. However, while the mean variability of this sensitivity was lower for the steepest neighbour algorithms, their errors were spread over a greater variety of slopes while the eight neighbour algorithms had errors confined to flat regions. The error sensitivity of upslope area and topographic index is related to the use of steepest neighbour flow routing algorithm.},
language = {en},
number = {5},
urldate = {2023-03-07},
journal = {Environmental Modelling \& Software},
author = {Raaflaub, Lynn D. and Collins, Michael J.},
month = may,
year = {2006},
keywords = {Digital elevation model, Error analysis, Topography},
pages = {710--732},
file = {ScienceDirect Snapshot:/home/lucasjardim/Zotero/storage/JVDQYXBA/S1364815205000526.html:text/html},
}
@article{schmidt_fuzzy_2004,
title = {Fuzzy land element classification from {DTMs} based on geometry and terrain position},
volume = {121},
issn = {0016-7061},
url = {https://www.sciencedirect.com/science/article/pii/S0016706103003720},
doi = {10.1016/j.geoderma.2003.10.008},
abstract = {Land elements have been used as basic landform descriptors in many science disciplines, including soil mapping, vegetation mapping, and landscape ecology. We describe an approach in terrain classification, with the objective of deriving a method for classifying land elements from DTMs based on their fundamental characteristics. The methodology for modelling land elements is implemented as a two-step process: first, form elements are classified based on local geometry, and second, land elements are derived by evaluating the form elements in their landscape context. Form elements are derived by fuzzy classification of slope and curvature at a specified global scale (window size). The form elements are reclassified according to their geomorphometric context using a higher scale terrain position index. The resulting land elements are evaluated with respect to their predictive value for modelling soil properties. It is shown that scaling geomorphometric properties is important for applying them to predict soil properties and to model landform units. The presented model, based on scaled geomorphometric properties and geomorphometric context, using a limited number of model parameters, is capable of modelling fundamental land elements that can be utilized in soil–landscape modelling and in other applications in land resource management.},
language = {en},
number = {3},
urldate = {2023-03-07},
journal = {Geoderma},
author = {Schmidt, Jochen and Hewitt, Allan},
month = aug,
year = {2004},
keywords = {Digital elevation models, Fuzzy sets, GIS, Land elements, Soil–landscape modelling, Terrain classification},
pages = {243--256},
}
@book{grillo_ecosystems_2011,
title = {Ecosystems {Biodiversity}},
isbn = {978-953-307-417-7},
abstract = {Ecosystems can be considered as dynamic and interactive clusters made up of plants, animals and micro-organism communities. Inevitably, mankind is an integral part of each ecosystem and as such enjoys all its provided benefits. Driven by the increasing necessity to preserve the ecosystem productivity, several ecological studies have been conducted in the last few years, highlighting the current state in which our planet is, and focusing on future perspectives. This book contains comprehensive overviews and original studies focused on hazard analysis and evaluation of ecological variables affecting species diversity, richness and distribution, in order to identify the best management strategies to face and solve the conservation problems.},
language = {en},
publisher = {BoD – Books on Demand},
author = {Grillo, Oscar and Venora, Gianfranco},
month = dec,
year = {2011},
keywords = {Science / General, Science / Life Sciences / Ecology},
}
@misc{noauthor_user_nodate,
title = {User {Guide} ·},
url = {https://docs.circuitscape.org/Omniscape.jl/dev/usage/},
urldate = {2023-03-08},
}
@article{peterman_comparison_2019,
title = {A comparison of popular approaches to optimize landscape resistance surfaces},
volume = {34},
issn = {1572-9761},
url = {https://doi.org/10.1007/s10980-019-00870-3},
doi = {10.1007/s10980-019-00870-3},
abstract = {Landscape resistance surfaces are often used to address questions related to movement, dispersal, or population connectivity. However, modeling landscape resistance is complicated by the selection of the most appropriate analytical approach and the assignment of resistance values to landscape features.},
language = {en},
number = {9},
urldate = {2023-03-15},
journal = {Landscape Ecology},
author = {Peterman, William E. and Winiarski, Kristopher J. and Moore, Chloe E. and Carvalho, Carolina da Silva and Gilbert, Anthony L. and Spear, Stephen F.},
month = sep,
year = {2019},
keywords = {Gene flow, Genetic differentiation, Landscape genetics, Landscape resistance, Resistance optimization, ResistanceGA},
pages = {2197--2208},
}
@article{mcrae_isolation_2006,
title = {Isolation by resistance},
volume = {60},
abstract = {Despite growing interest in the effects of landscape heterogeneity on genetic structuring, few tools are available to incorporate data on landscape composition into population genetic studies. Analyses of isolation by distance have typically either assumed spatial homogeneity for convenience or applied theoretically unjustified distance metrics to compensate for heterogeneity. Here I propose the isolation-by-resistance (IBR) model as an alternative for predicting equilibrium genetic structuring in complex landscapes. The model predicts a positive relationship between genetic differentiation and the resistance distance, a distance metric that exploits precise relationships between random walk times and effective resistances in electronic networks. As a predictor of genetic differentiation, the resistance distance is both more theoretically justified and more robust to spatial heterogeneity than Euclidean or least cost path-based distance measures. Moreover, the metric can be applied with a wide range of data inputs, including coarse-scale range maps, simple maps of habitat and nonhabitat within a species’ range, or complex spatial datasets with habitats and barriers of differing qualities. The IBR model thus provides a flexible and efficient tool to account for habitat heterogeneity in studies of isolation by distance, improve understanding of how landscape characteristics affect genetic structuring, and predict genetic and evolutionary consequences of landscape change.},
language = {en},
number = {8},
journal = {Evolution},
author = {McRae, Brad H},
year = {2006},
keywords = {ya},
pages = {1551--1561},
file = {McRae - 2006 - Isolation by resistance.pdf:/home/lucasjardim/Zotero/storage/CJMAHL79/McRae - 2006 - Isolation by resistance.pdf:application/pdf},
}
@article{tadono_t_precise_2014,
title = {Precise {Global} {DEM} {Generation} by {ALOS} {PRISM}. {Precise} {Global} {DEM} {Generation} by {ALOS} {PRISM}},
volume = {II},
doi = {https://doi.org/10.5194/isprsannals-ii-4-71-2014},
number = {4},
journal = {ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
author = {Tadono, T. and Ishida, H. and Oda, F. and Naito, S. and Minakawa, K. and Iwamoto, H.},
year = {2014},
note = {291 citations (Crossref) [2023-11-30]},
pages = {71--76},
}
@article{abreu-jardim_tatianne_pf_predicting_2021,
title = {Predicting impacts of global climatic change on genetic and phylogeographical diversity of a {Neotropical} treefrog},
volume = {27},
doi = {10.1111/ddi.13299},
number = {8},
journal = {Divcersity and Distribution},
author = {Abreu-Jardim, Tatianne P.F. and Jardim, Lucas and Ballesteros-Mejia, Liliana and Maciel, Natan M. and Collevatti, Rosane G.},
year = {2021},
note = {9 citations (Crossref) [2023-10-27]},
pages = {1519--1535},
}
@article{lemes_priscila_climate_2014,
title = {Climate change threatens protected areas of the {Atlantic} {Forest}},
volume = {23},
doi = {10.1007/s10531-013-0605-2},
number = {2},
journal = {Biodiversity and Conservation},
author = {Lemes, Priscila and Melo, Adriano Sanches and Loyola, Rafael Dias},
year = {2014},
note = {81 citations (Crossref) [2023-10-27]},
pages = {357--368},
}
@book{ipcc_climate_2022,
address = {Cambridge, UK and New York, NY, USA},
title = {Climate {Change} 2022: {Impacts}, {Adaptation} and {Vulnerability}. {Contribution} of {Working} {Group} {II} to the {Sixth} {Assessment} {Report} of the {Intergovernmental} {Panel} on {Climate} {Change} [{H}.-{O}. {Pörtner}, {D}.{C}. {Roberts}, {M}. {Tignor}, {E}.{S}. {Poloczanska}, {K}. {Mintenbeck}, {A}. {Alegría}, {M}. {Craig}, {S}. {Langsdorf}, {S}. {Löschke}, {V}. {Möller}, {A}. {Okem}, {B}. {Rama} (eds.)]},
url = {10.1017/9781009325844},
publisher = {Cambridge University Press},
author = {IPCC},
year = {2022},
}
@article{lawler_joshua_j_theory_2015,
title = {The theory behind, and the challenges of, conserving nature’s stage in a time of rapid change},
volume = {29},
doi = {10.1111/cobi.12505},
number = {3},
journal = {Conservation Biology},
author = {Lawler, Joshua J. and Ackerly, David D. and Albano, Christine M. and Anderson, Mark G. and Dobrowski, Solomon Z. and Gill, Jacquelyn L. and Heller, Nicole E. and Pressey, Robert L. and Sanderson, Eric W. and Weiss, Stuart B.},
year = {2015},
pages = {618--629},
}
@misc{hulley_g_viirsnpp_2018,
title = {{VIIRS}/{NPP} {Land} {Surface} {Temperature} and {Emissivity} {Daily} {L3} {Global} 1km {SIN} {Grid} {Day} {V001}},
doi = {https://doi.org/10.5067/VIIRS/VNP21A1D.001},
publisher = {NASA EOSDIS Land Processes Distributed Active Archive Center},
author = {Hulley, G. and Hook, S.},
year = {2018},
}
@article{xavier_new_2022,
title = {New improved {Brazilian} daily weather gridded data (1961–2020)},
volume = {42},
doi = {10.1002/joc.7731},
number = {16},
journal = {International Journal of Climatology},
author = {Xavier, Alexandre C. and Scanlon, Bridget R. and King, Carey W. and Alves, Aline I.},
year = {2022},
pages = {8390--8404},
}
@article{fick_worldclim_2017,
title = {{WorldClim} 2: new 1-km spatial resolution climate surfaces for global land areas},
volume = {37},
doi = {10.1002/joc.5086},
number = {12},
journal = {International Journal of Climatology},
author = {Fick, Stephen E. and Hijmans, Robert J.},
year = {2017},
pages = {4302--4315},
}
@article{karger_dirk_nikolaus_climatologies_2017,
title = {Climatologies at high resolution for the earth's land surface areas},
volume = {4},
doi = {10.1038/sdata.2017.122},
number = {1},
journal = {Scientific Data},
author = {Karger, Dirk Nikolaus and Conrad, Olaf and Böhner, Jürgen and Kawohl, Tobias and Kreft, Holger and Soria-Auza, Rodrigo Wilber and Zimmermann, Niklaus E. and Linder, H. Peter and Kessler, Michael},
year = {2017},
pages = {170122},
}
@article{lima-ribeiro_matheus_s_ecoclimate_2015,
title = {Ecoclimate : a {Database} of {Climate} {Data} {From} {Multiple} {Models} for {Past} , {Present} , and {Future} for {Macroecologists} and {Biogeographers}},
volume = {10},
doi = {10.17161/bi.v10i0.4955},
journal = {Biodiversity Informatics},
author = {Lima-Ribeiro, Matheus S and Varela, Sara and González-Hernández, Javier and de Oliveira, Guilherme and Diniz-Filho, José Alexandre F and Terribile, Levi Carina},
year = {2015},
pages = {1--21},
}
@article{kearney_michael_r_microclim_2014,
title = {Microclim: {Global} estimates of hourly microclimate based on long-term monthly climate averages},
volume = {1},
doi = {10.1038/sdata.2014.6},
number = {1},
journal = {Scientific Data},
author = {Kearney, Michael R. and Isaac, Andrew P. and Porter, Warren P.},
year = {2014},
pages = {140006},
}
@article{loarie_scott_r_velocity_2009,
title = {The velocity of climate change},
volume = {462},
doi = {10.1038/nature08649},
number = {7276},
journal = {Nature},
author = {Loarie, Scott R. and Duffy, Philip B. and Hamilton, Healy and Asner, Gregory P. and Field, Christopher B. and Ackerly, David D.},
year = {2009},
pages = {1052--1055},
}
@article{williams_stephen_e_towards_2008,
title = {Towards an integrated framework for assessing the vulnerability of species to climate change.},
volume = {6},
doi = {10.1371/journal.pbio.0060325},
number = {12},
journal = {PLoS biology},
author = {Williams, Stephen E. and Shoo, Luke P. and Isaac, Joanne L. and Hoffmann, Ary A. and Langham, Gary},
year = {2008},
pages = {e325},
}
@article{dobrowski_climatic_2011,
title = {A climatic basis for microrefugia: {The} influence of terrain on climate},
volume = {17},
doi = {10.1111/j.1365-2486.2010.02263.x},
number = {2},
journal = {Global Change Biology},
author = {Dobrowski, Solomon Z.},
year = {2011},
note = {613 citations (Crossref) [2023-09-12]},
pages = {1022--1035},
}
@article{anderson_mark_g_resilient_2023,
title = {A resilient and connected network of sites to sustain biodiversity under a changing climate},
volume = {120},
doi = {10.1073/pnas.2204434119},
number = {7},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
author = {Anderson, Mark G. and Clark, Melissa and Olivero, Arlene P. and Barnett, Analie R. and Hall, Kimberly R. and Cornett, Meredith W. and Ahlering, Marissa and Schindel, Michael and Unnasch, Bob and Schloss, Carrie and Cameron, D. Richard},
year = {2023},
note = {4 citations (Crossref) [2023-09-12]},
pages = {109},
}
@article{anderson_mark_g_estimating_2014,
title = {Estimating climate resilience for conservation across geophysical settings},
volume = {28},
doi = {10.1111/cobi.12272},
number = {4},
journal = {Conservation Biology},
author = {Anderson, Mark G. and Clark, Melissa and Sheldon, Arlene Olivero},
year = {2014},
note = {75 citations (Crossref) [2023-09-12]},
pages = {959--970},
}
@misc{mapbiomas_project_collection_2020,
title = {Collection 8 of the {Annual} {Series} of {Land} {Use} and {Land} {Cover} {Maps} of {Brazil}},
url = {projects/mapbiomas-workspace/public/collection8/mapbiomas_collection80_integration_v1},
author = {{MapBiomas Project}},
year = {2023},
}
@misc{weiss_topographic_2001,
address = {San Diego, CA, USA},
type = {In {Poster} presentation},
title = {Topographic position and landforms analysis},
url = {http://www.jennessent.com/downloads/tpi-poster- tnc_18x22.pdf},
author = {Weiss, A. C.},
year = {2001},
}
@techreport{anderson_resilient_2012,
title = {Resilient {Sites} for {Terrestrial} {Conservation} in the {Northeast} and {Mid}-{Atlantic} {Region}},
institution = {The Nature Conservancy, Eastern Conservation Science},
author = {Anderson, Mark G. and Clark, Melissa and Sheldon, Arlene O.},
year = {2012},
pages = {168},
}
@inproceedings{fels_cognitively-based_1996,
address = {Santa Fe, New Mexico, USA},
title = {A cognitively-based approach for hydrogeomorphic land classification using digital terrain models.},
publisher = {National Center for Geographic Information and Analysis},
author = {Fels, John E. and Matson, Kris C.},
year = {1996},
}
@misc{olson_terrestrial_2017,
title = {Terrestrial {Ecoregions} of the {World}: {A} {New} {Map} of {Life} on {Earth}},
abstract = {This map depicts the 825 terrestrial ecoregions of the globe. Ecoregions are relatively large units of land containing distinct assemblages of natural communities and species, with boundaries that approximate the original extent of natural communities prior to major land-use change. This comprehensive, global map provides a useful framework for conducting biogeographical or macroecological research, for identifying areas of outstanding biodiversity and conservation priority, for assessing the representation and gaps in conservation efforts worldwide, and for communicating the global distribution of natural communities on earth. We have based ecoregion delineations on hundreds of previous biogeographical studies, and refined and synthesized existing information in regional workshops over 10 years to assemble the global dataset. Ecoregions are nested within two higher-order classifications: biomes (14) and biogeographic realms (8). Together, these nested classification levels provide a framework for comparison among units and the identification of representative habitats and species assemblages. Ecoregions have increasingly been adopted by research scientists, conservation organizations, and donors as a framework for analyzing biodiversity patterns, assessing conservation priorities, and directing effort and support (Ricketts et al. 1999a; Wikramanayake et al. 2001; Ricketts et al. 1999b; Olson \& Dinerstein 1998; Groves et al. 2000; Rosenzweig et al. 2003; and Luck et al. 2003). More on the approach to ecoregion mapping, the logic and design of the framework, and previous and potential uses are discusses in Olson et al. (2001) and Ricketts et al. (1999a).},
publisher = {BioScience},
author = {Olson, D.M. and Dinerstein, E.D. and Wikramanayake, N.D and {Burgess, G.V.N.} and {Powell, E.C.} and {Underwood, J.A.} and {D'Amico, I.} and {Itoua, H.E.}},
year = {2017},
}
@article{yamazaki_high-accuracy_2017,
title = {A high-accuracy map of global terrain elevations: {Accurate} {Global} {Terrain} {Elevation} map},
volume = {44},
issn = {00948276},
shorttitle = {A high-accuracy map of global terrain elevations},
url = {http://doi.wiley.com/10.1002/2017GL072874},
doi = {10.1002/2017GL072874},
language = {en},
number = {11},
urldate = {2023-06-06},
journal = {Geophysical Research Letters},
author = {Yamazaki, Dai and Ikeshima, Daiki and Tawatari, Ryunosuke and Yamaguchi, Tomohiro and O'Loughlin, Fiachra and Neal, Jeffery C. and Sampson, Christopher C. and Kanae, Shinjiro and Bates, Paul D.},
year = {2017},
pages = {5844--5853},
}
@techreport{anderson_resilient_2016,
title = {Resilient {Sites} for {Terrestrial} {Conservation} in {Eastern} {North} {America}},
language = {en},
institution = {The Nature Conservancy, Eastern Conservation Science},
author = {Anderson, Mark G. and Barnett, Analie and Clark, Melissa and Sheldon, Arlene Olivero and Prince, John},
year = {2016},
pages = {186},
}
@article{yamazaki_merit_2019,
title = {{MERIT} {Hydro}: {A} {High}‐{Resolution} {Global} {Hydrography} {Map} {Based} on {Latest} {Topography} {Dataset}},
volume = {55},
issn = {0043-1397, 1944-7973},
shorttitle = {{MERIT} {Hydro}},
url = {https://onlinelibrary.wiley.com/doi/10.1029/2019WR024873},
doi = {10.1029/2019WR024873},
language = {en},
number = {6},
urldate = {2023-06-06},
journal = {Water Resources Research},
author = {Yamazaki, Dai and Ikeshima, Daiki and Sosa, Jeison and Bates, Paul D. and Allen, George H. and Pavelsky, Tamlin M.},
month = jun,
year = {2019},
pages = {5053--5073},
}
@misc{gumbricht_tropical_2017,
title = {Tropical and subtropical wetlands distribution version 2},
url = {https://data.cifor.org/dataset.xhtml?persistentId=doi:10.17528/CIFOR/DATA.00058},
doi = {10.17528/cifor/data.00058},
abstract = {Wetlands are important providers of ecosystem services and key regulators of climate change. They positively contribute to global warming through their greenhouse gas emissions, and negatively through the accumulation of organic material in histosols, particularly in peatlands. Our understanding of wetlands’ services is currently constrained by limited knowledge on their distribution, extent, volume, inter-annual flood variability, and disturbance levels. We present an expert system approach to estimate wetland and peatland areas, depths and volumes, which relies on three biophysical indices related to wetland and peat formation: 1. Long-term water supply exceeding atmospheric water demand; 2. Annually or seasonally water-logged soils; 3. A geomorphological position where water is supplied and retained.
The dataset is version 2 with significant improvements compare to previous version. It shows distribution of wetland, peatland and peat depth that covers the tropics and sub tropics (40° N to 60° S; 180° E to -180° W), excluding small islands. It was mapped in 231 meters spatial resolution. The dataset can be viewed in this interactive map: http://www.cifor.org/global-wetlands/.},
language = {en},
urldate = {2023-05-26},
author = {Gumbricht, T. and Román-Cuesta, R. M. and Verchot, L. V. and Herold, M. and Wittmann, F. and Householder, E. and Herold, N. and Murdiyarso, D.},
year = {2017},
doi = {10.17528/cifor/data.00058},
}
@article{anderson_resilient_2016-1,
title = {Resilient and {Connected} {Landscapes} for {Terrestrial} {Conservation}},
language = {en},
author = {Anderson, Mark G. and Barnett, Analie and Clark, Melissa and Prince, Jeremy and Sheldon, Arlene Olivero and Vickery, B.},
year = {2016},
file = {Anderson et al_2016_Resilient and Connected Landscapes for Terrestrial Conservation.pdf:/home/lucasjardim/Zotero/storage/U6MCGLK9/Anderson et al_2016_Resilient and Connected Landscapes for Terrestrial Conservation.pdf:application/pdf},
}
@article{anderson_estimating_2014,
title = {Estimating {Climate} {Resilience} for {Conservation} across {Geophysical} {Settings}},
volume = {28},
issn = {0888-8892, 1523-1739},
url = {https://onlinelibrary.wiley.com/doi/10.1111/cobi.12272},
doi = {10.1111/cobi.12272},
abstract = {Conservationists need methods to conserve biological diversity while allowing species and communities to rearrange in response to a changing climate. We developed and tested such a method for northeastern North America that we based on physical features associated with ecological diversity and site resilience to climate change. We comprehensively mapped 30 distinct geophysical settings based on geology and elevation. Within each geophysical setting, we identified sites that were both connected by natural cover and that had relatively more microclimates indicated by diverse topography and elevation gradients. We did this by scoring every 405 ha hexagon in the region for these two characteristics and selecting those that scored {\textgreater}SD 0.5 above the mean combined score for each setting. We hypothesized that these high-scoring sites had the greatest resilience to climate change, and we compared them with sites selected by The Nature Conservancy for their high-quality rare species populations and natural community occurrences. High-scoring sites captured significantly more of the biodiversity sites than expected by chance (p {\textless} 0.0001): 75\% of the 414 target species, 49\% of the 4592 target species locations, and 53\% of the 2170 target community locations. Calcareous bedrock, coarse sand, and fine silt settings scored markedly lower for estimated resilience and had low levels of permanent land protection (average 7\%). Because our method identifies—for every geophysical setting—sites that are the most likely to retain species and functions longer under a changing climate, it reveals natural strongholds for future conservation that would also capture substantial existing biodiversity and correct the bias in current secured lands.},
language = {en},
number = {4},
urldate = {2022-12-07},
journal = {Conservation Biology},
author = {Anderson, Mark G. and Clark, Melissa and Sheldon, Arlene Olivero},
month = aug,
year = {2014},
note = {tex.ids= anderson\_estimating\_2014-1
\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/cobi.12272},
keywords = {Áreas protegidas, biodiversidad, biodiversity, cambio climático, climate change, conectividad, connectivity, conservation planning, fragmentación, fragmentation, geología, geology, Norteamérica, North America, planeación de la conservación, protected areas},
pages = {959--970},
file = {Anderson et al. - 2014 - Estimating Climate Resilience for Conservation acr.pdf:/home/lucasjardim/Zotero/storage/RFNFLQ4H/Anderson et al. - 2014 - Estimating Climate Resilience for Conservation acr.pdf:application/pdf;Full Text PDF:/home/lucasjardim/Zotero/storage/REFXWETM/Anderson et al. - 2014 - Estimating Climate Resilience for Conservation acr.pdf:application/pdf;pnas.2204434119.sapp.pdf:/home/lucasjardim/Zotero/storage/YAVKN8AF/pnas.2204434119.sapp.pdf:application/pdf;Snapshot:/home/lucasjardim/Zotero/storage/KQX92JK2/cobi.html:text/html},
}
@techreport{mcrae_conserving_2016,
title = {Conserving {Nature}’s {Stage}: {Mapping} {Omnidirectional} {Connectivity} for {Resilient} {Terrestrial} {Landscapes} in the {Pacific} {Northwest}},
shorttitle = {Conserving {Nature}’s {Stage}},
url = {http://rgdoi.net/10.13140/RG.2.1.4158.6166},
language = {en},
urldate = {2023-03-08},
author = {McRae, Brad and K. Popper and A. Jones and M. Schindel and S. Buttrick and K. Hall and R.S. Unnasch and J. Platt},
year = {2016},
note = {Publisher: The Nature Conservancy. DOI: 10.13140/RG.2.1.4158.6166},
file = {McRae et al. - 2016 - Conserving Nature’s Stage Mapping Omnidirectional.pdf:/home/lucasjardim/Zotero/storage/E726MTNM/McRae et al. - 2016 - Conserving Nature’s Stage Mapping Omnidirectional.pdf:application/pdf},
}
@article{mcgarigal_landscape_2018,
title = {A landscape index of ecological integrity to inform landscape conservation},
volume = {33},
issn = {1572-9761},
url = {https://doi.org/10.1007/s10980-018-0653-9},
doi = {10.1007/s10980-018-0653-9},
abstract = {Conservation planning is increasingly using “coarse filters” based on the idea of conserving “nature’s stage”. One such approach is based on ecosystems and the concept of ecological integrity, although myriad ways exist to measure ecological integrity.},
language = {en},
number = {7},
urldate = {2023-05-15},
journal = {Landscape Ecology},
author = {McGarigal, Kevin and Compton, Bradley W. and Plunkett, Ethan B. and DeLuca, William V. and Grand, Joanna and Ene, Eduard and Jackson, Scott D.},
month = jul,
year = {2018},
note = {tex.ids= mcgarigal\_landscape\_2018-1},
keywords = {Conservation planning, Coarse filter, Ecological assessment, Landscape conservation design, Landscape metrics, Landscape pattern},
pages = {1029--1048},
file = {McGarigal et al_2018_A landscape index of ecological integrity to inform landscape conservation.pdf:/home/lucasjardim/Zotero/storage/KIEQYQTG/McGarigal et al_2018_A landscape index of ecological integrity to inform landscape conservation.pdf:application/pdf},
}
@techreport{noauthor_pnw_nodate,
title = {{PNW} {Terrestrial} {Climate} {Resilience} {Report} {March3} 2015.pdf},
url = {https://conservationgateway.org/ConservationByGeography/NorthAmerica/UnitedStates/oregon/science/Documents/PNW%20Terrestrial%20Climate%20Resilience%20Report%20March3%202015.pdf},
urldate = {2023-04-07},
file = {PNW Terrestrial Climate Resilience Report March3 2015.pdf:/home/lucasjardim/Zotero/storage/AXK59ZPL/PNW Terrestrial Climate Resilience Report March3 2015.pdf:application/pdf},
}
@book{buttrick_conserving_2015,
title = {Conserving {Nature}'s {Stage}: {Identifying} {Resilient} {Terrestrial} {Landscapes} in the {Pacific} {Northwest}},
shorttitle = {Conserving {Nature}'s {Stage}},
abstract = {The purpose of this project is to identify the most resilient sites in the Northwest that will collectively and individually best sustain terrestrial biodiversity even as the changing climate alters current distribution patterns. The central idea is that by mapping key geophysical features and evaluating them for landscape characteristics that buffer against climate change (topoclimate and permeability), we can identify the most resilient places in the terrestrial landscape in order to guide future conservation investments.
This report and all the associated data and projects are available at: http://nature.ly/resilienceNW},
author = {Buttrick, Steve and Popper, Ken and McRae, Brad and Unnasch, Bob and Schindel, Michael and Jones, Aaron and Platt, Jim},
month = feb,
year = {2015},
file = {Full Text PDF:/home/lucasjardim/Zotero/storage/FWK46IDQ/Buttrick et al. - 2015 - Conserving Nature's Stage Identifying Resilient T.pdf:application/pdf},
}
@article{rayfield_connectivity_2011,
title = {Connectivity for conservation: a framework to classify network measures},
volume = {92},
number = {4},
journal = {Ecology},
author = {Rayfield, Bronwyn and Fortin, Marie-Josée and Fall, Andrew},
year = {2011},
keywords = {fragmentation, corridors, graph theory, dispersal, landscape connectivity, circuit theory, effective distance, gene flow, habitat fragmentation, isolation, metapopulation theory, reserve design, clutch size, conservation management, egg size, fitness function, habitat resistance, inter-patch movement, least-cost path, maternal care, maternal effects, network theory, offspring fitness, optimal offspring size, optimality, parental care, parental investment, weibull-1 model},
pages = {847--858},
file = {Snapshot:/home/lucasjardim/Zotero/storage/HVJWDHA6/09-2190.html:text/html},
}
@article{cushman_multi-taxa_2012,
title = {Multi-taxa population connectivity in the {Northern} {Rocky} {Mountains}},
volume = {231},
doi = {10.1016/j.ecolmodel.2012.02.011},
abstract = {Effective broad-spectrum biodiversity conservation requires that conservation strategies simultaneously meet the needs of multiple species. However, little is known about how maintaining habitat connectivity for one species or species group may also act as an umbrella for other species. We evaluated the degree to which predicted connected habitat for each of 144 different hypothetical organisms expressing range of dispersal abilities and ecological responses to elevation, roads and land cover function as an indicators of connected habitat for the others in the U.S. Northern Rocky Mountains. We used resistant kernel modeling to map the extent of the study area predicted to be connected by dispersal for each species. At relatively large dispersal abilities there was extensive overlap between connected habitat for most organisms and much of the study area is predicted to provide connected habitat for all hypothetical organisms simultaneously. In contrast, at low to medium dispersal abilities there was much less intersection of habitat connected by dispersal. We found that habitat specialists with limited dispersal ability are weak indicators of others, and likewise are weakly indicated by others. We evaluated the effectiveness of three carnivores as connectivity umbrellas for many species. All three carnivore species performed significantly worse as connectivity umbrellas than the average across the simulated species. These species are associated with high elevation forested habitats. It is the low elevation and non-forest habitats that are most at risk of habitat loss and fragmentation in the study area, suggesting that a carnivore umbrella may miss many species most at risk.},
journal = {Ecological Modelling},
author = {Cushman, Samuel and Landguth, Erin},
month = apr,
year = {2012},
pages = {101--112},
file = {Full Text PDF:/home/lucasjardim/Zotero/storage/KYFBPFCP/Cushman and Landguth - 2012 - Multi-taxa population connectivity in the Northern.pdf:application/pdf},
}
@article{cushman_gene_2006,
title = {Gene {Flow} in {Complex} {Landscapes}: {Testing} {Multiple} {Hypotheses} with {Causal} {Modeling}},
volume = {168},
issn = {0003-0147, 1537-5323},
shorttitle = {Gene {Flow} in {Complex} {Landscapes}},
url = {http://www.journals.uchicago.edu/doi/10.1086/506976},
doi = {10.1086/506976},
abstract = {Predicting population-level effects of landscape change depends on identifying factors that influence population connectivity in complex landscapes. However, most putative movement corridors and barriers have not been based on empirical data. In this study, we identify factors that influence connectivity by comparing patterns of genetic similarity among 146 black bears (Ursus americanus), sampled across a 3,000-km2 study area in northern Idaho, with 110 landscape-resistance hypotheses. Genetic similarities were based on the pairwise percentage dissimilarity among all individuals based on nine microsatellite loci (average expected heterozygosity p 0.79). Landscape-resistance hypotheses describe a range of potential relationships between movement cost and land cover, slope, elevation, roads, Euclidean distance, and a putative movement barrier. These hypotheses were divided into seven organizational models in which the influences of barriers, distance, and landscape features were statistically separated using partial Mantel tests. Only one of the competing organizational models was fully supported: patterns of genetic structure are primarily related to landscape gradients of land cover and elevation. The alternative landscape models, isolation by barriers and isolation by distance, are not supported. In this black bear population, gene flow is facilitated by contiguous forest cover at middle elevations.},
language = {en},
number = {4},
urldate = {2023-03-24},
journal = {The American Naturalist},
author = {Cushman, Samuel A. and McKelvey, Kevin S. and Hayden, Jim and Schwartz, Michael K.},
month = oct,
year = {2006},
pages = {486--499},
file = {Cushman et al. - 2006 - Gene Flow in Complex Landscapes Testing Multiple .pdf:/home/lucasjardim/Zotero/storage/C2AI3BEC/Cushman et al. - 2006 - Gene Flow in Complex Landscapes Testing Multiple .pdf:application/pdf},
}
@article{williams_incorporating_2020,
title = {Incorporating connectivity into conservation planning for the optimal representation of multiple species and ecosystem services},
volume = {34},
issn = {1523-1739},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/cobi.13450},
doi = {10.1111/cobi.13450},
abstract = {Conservation planning tends to focus on protecting species’ ranges or landscape connectivity but seldom both—particularly in the case of diverse taxonomic assemblages and multiple planning goals. Therefore, information on potential trade-offs between maintaining landscape connectivity and achieving other conservation objectives is lacking. We developed an optimization approach to prioritize the maximal protection of species’ ranges, ecosystem types, and forest carbon stocks, while also including habitat connectivity for range-shifting species and dispersal corridors to link protected area. We applied our approach to Sabah, Malaysia, where the state government mandated an increase in protected-area coverage of approximately 305,000 ha but did not specify where new protected areas should be. Compared with a conservation planning approach that did not incorporate the 2 connectivity features, our approach increased the protection of dispersal corridors and elevational connectivity by 13\% and 21\%, respectively. Coverage of vertebrate and plant species’ ranges and forest types were the same whether connectivity was included or excluded. Our approach protected 2\% less forest carbon and 3\% less butterfly range than when connectivity features were not included. Hence, the inclusion of connectivity into conservation planning can generate large increases in the protection of landscape connectivity with minimal loss of representation of other conservation targets.},
language = {en},
number = {4},
urldate = {2023-03-31},
journal = {Conservation Biology},
author = {Williams, Sara H. and Scriven, Sarah A. and Burslem, David F. R. P. and Hill, Jane K. and Reynolds, Glen and Agama, Agnes L. and Kugan, Frederick and Maycock, Colin R. and Khoo, Eyen and Hastie, Alexander Y. L. and Sugau, John B. and Nilus, Reuben and Pereira, Joan T. and Tsen, Sandy L. T. and Lee, Leung Y. and Juiling, Suzika and Hodgson, Jenny A. and Cole, Lydia E. S. and Asner, Gregory P. and Evans, Luke J. and Brodie, Jedediah F.},
year = {2020},
note = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/cobi.13450},
keywords = {cambio climático, climate change, connectivity, corridors, corredores, Borneo, conectividades, deforestación, deforestation, habitat loss, pérdida de hábitat, planeación sistemática de la conservación, rainforest, selva, systematic conservation planning},
pages = {934--942},
file = {Full Text:/home/lucasjardim/Zotero/storage/TLLI2F77/Williams et al. - 2020 - Incorporating connectivity into conservation plann.pdf:application/pdf;Snapshot:/home/lucasjardim/Zotero/storage/YDPHBML5/cobi.html:text/html},
}
@article{urban_landscape_2001,
title = {Landscape {Connectivity}: {A} {Graph}-{Theoretic} {Perspective}},
volume = {82},
issn = {1939-9170},
shorttitle = {Landscape {Connectivity}},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1890/0012-9658%282001%29082%5B1205%3ALCAGTP%5D2.0.CO%3B2},
doi = {10.1890/0012-9658(2001)082[1205:LCAGTP]2.0.CO;2},
abstract = {Ecologists are familiar with two data structures commonly used to represent landscapes. Vector-based maps delineate land cover types as polygons, while raster lattices represent the landscape as a grid. Here we adopt a third lattice data structure, the graph. A graph represents a landscape as a set of nodes (e.g., habitat patches) connected to some degree by edges that join pairs of nodes functionally (e.g., via dispersal). Graph theory is well developed in other fields, including geography (transportation networks, routing applications, siting problems) and computer science (circuitry and network optimization). We present an overview of basic elements of graph theory as it might be applied to issues of connectivity in heterogeneous landscapes, focusing especially on applications of metapopulation theory in conservation biology. We develop a general set of analyses using a hypothetical landscape mosaic of habitat patches in a nonhabitat matrix. Our results suggest that a simple graph construct, the minimum spanning tree, can serve as a powerful guide to decisions about the relative importance of individual patches to overall landscape connectivity. We then apply this approach to an actual conservation scenario involving the threatened Mexican Spotted Owl (Strix occidentalis lucida). Simulations with an incidence-function metapopulation model suggest that population persistence can be maintained despite substantial losses of habitat area, so long as the minimum spanning tree is protected. We believe that graph theory has considerable promise for applications concerned with connectivity and ecological flows in general. Because the theory is already well developed in other disciplines, it might be brought to bear immediately on pressing ecological applications in conservation biology and landscape ecology.},
language = {en},
number = {5},
urldate = {2023-03-15},
journal = {Ecology},
author = {Urban, Dean and Keitt, Timothy},
year = {2001},
note = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1890/0012-9658\%282001\%29082\%5B1205\%3ALCAGTP\%5D2.0.CO\%3B2},
keywords = {connectivity, graph theory, dispersal, habitat fragmentation, metapopulation theory, conservation biology, habitat patches and landscape connectivity, habitat pattern, landscape ecology, minimum spanning tree, Strix occidentalis lucidus.},
pages = {1205--1218},
file = {Snapshot:/home/lucasjardim/Zotero/storage/KDJAZR7C/0012-9658(2001)082[1205LCAGTP]2.0.html:text/html},
}
@article{diniz_landscape_2020,
title = {Landscape connectivity modeling from the perspective of animal dispersal},
volume = {35},
issn = {0921-2973, 1572-9761},
url = {http://link.springer.com/10.1007/s10980-019-00935-3},
doi = {10.1007/s10980-019-00935-3},
abstract = {Context Dispersal plays a key role in linking populations, habitat (re)-colonization, and species range expansion. As fragmentation and habitat loss are ubiquitous threats and can disrupt dispersal, landscape connectivity modeling has become a valuable tool in conservation planning.},
language = {en},
number = {1},
urldate = {2023-04-11},
journal = {Landscape Ecology},
author = {Diniz, Milena F. and Cushman, Samuel A. and Machado, Ricardo B. and De Marco Júnior, Paulo},
month = jan,
year = {2020},
pages = {41--58},
file = {Diniz et al. - 2020 - Landscape connectivity modeling from the perspecti.pdf:/home/lucasjardim/Zotero/storage/67VRNZHY/Diniz et al. - 2020 - Landscape connectivity modeling from the perspecti.pdf:application/pdf},
}
@article{beier_toward_2011,
title = {Toward {Best} {Practices} for {Developing} {Regional} {Connectivity} {Maps}},
volume = {25},
issn = {1523-1739},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1523-1739.2011.01716.x},
doi = {10.1111/j.1523-1739.2011.01716.x},
abstract = {Abstract: To conserve ecological connectivity (the ability to support animal movement, gene flow, range shifts, and other ecological and evolutionary processes that require large areas), conservation professionals need coarse-grained maps to serve as decision-support tools or vision statements and fine-grained maps to prescribe site-specific interventions. To date, research has focused primarily on fine-grained maps (linkage designs) covering small areas. In contrast, we devised 7 steps to coarsely map dozens to hundreds of linkages over a large area, such as a nation, province, or ecoregion. We provide recommendations on how to perform each step on the basis of our experiences with 6 projects: California Missing Linkages (2001), Arizona Wildlife Linkage Assessment (2006), California Essential Habitat Connectivity (2010), Two Countries, One Forest (northeastern United States and southeastern Canada) (2010), Washington State Connected Landscapes (2010), and the Bhutan Biological Corridor Complex (2010). The 2 most difficult steps are mapping natural landscape blocks (areas whose conservation value derives from the species and ecological processes within them) and determining which pairs of blocks can feasibly be connected in a way that promotes conservation. Decision rules for mapping natural landscape blocks and determining which pairs of blocks to connect must reflect not only technical criteria, but also the values and priorities of stakeholders. We recommend blocks be mapped on the basis of a combination of naturalness, protection status, linear barriers, and habitat quality for selected species. We describe manual and automated procedures to identify currently functioning or restorable linkages. Once pairs of blocks have been identified, linkage polygons can be mapped by least-cost modeling, other approaches from graph theory, or individual-based movement models. The approaches we outline make assumptions explicit, have outputs that can be improved as underlying data are improved, and help implementers focus strictly on ecological connectivity.},
language = {en},
number = {5},
urldate = {2023-03-31},
journal = {Conservation Biology},
author = {Beier, Paul and Spencer, Wayne and Baldwin, Robert F. and McRAE, Brad H.},
year = {2011},
note = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1523-1739.2011.01716.x},
keywords = {conectividad, connectivity, conservation planning, conexiones de vida silvestre, cooperativas de conservación del paisaje, corridors, especies focales, focal species, landscape conservation cooperatives, planificación de la conservación, wildlife linkages},
pages = {879--892},
file = {Snapshot:/home/lucasjardim/Zotero/storage/993W9PJG/j.1523-1739.2011.01716.html:text/html},
}
@article{cushman_evaluating_2012,
title = {Evaluating the sufficiency of protected lands for maintaining wildlife population connectivity in the {U}.{S}. northern {Rocky} {Mountains}},
volume = {18},
doi = {10.1111/j.1472-4642.2012.00895.x},
abstract = {Aim The goal of this study was to evaluate the sufficiency of the network of protected lands in the U.S. northern Rocky Mountains in providing protection for habitat connectivity for 105 hypothetical organisms. A large proportion of the landscape falls into one of several categories of protected lands. However, protected lands in the region are primarily higher elevation forest and mountain habitats. Little is known about how the network of protected lands may maintain connectivity for a broad spectrum of species expressing different habitat requirements and dispersal abilities. Location The study was conducted across the states of Montana and northern Idaho, USA, comprising an area of 30.2 million hectares.},
journal = {Diversity and Distributions},
author = {Cushman, Samuel and Landguth, Erin and Flather, Curtis},
month = sep,
year = {2012},
pages = {873--884},
file = {Full Text PDF:/home/lucasjardim/Zotero/storage/K4WGUHYW/Cushman et al. - 2012 - Evaluating the sufficiency of protected lands for .pdf:application/pdf},
}
@article{boitani_ecological_2007,
title = {Ecological {Networks} as {Conceptual} {Frameworks} or {Operational} {Tools} in {Conservation}},
volume = {21},
issn = {1523-1739},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1523-1739.2007.00828.x},
doi = {10.1111/j.1523-1739.2007.00828.x},
abstract = {Abstract: The establishment of ecological networks (ENs) has been proposed as an ideal way to counteract the increasing fragmentation of natural ecosystems and as a necessary complement to the establishment of protected areas for biodiversity conservation. This conservation tool, which comprises core areas, corridors, and buffer areas, has attracted the attention of several national and European institutions. It is thought that ENs can connect habitat patches and thus enable species to move across unsuitable areas. In Europe, however, ENs are proposed as an oversimplification of complex ecological concepts, and we maintain that they are of limited use for biodiversity conservation for several reasons. The ENs are species specific and operate on species-dependent scales. In addition, the information needed for their implementation is only available for a handful of species. To overcome these limitations, ENs have been proposed on a landscape scale (and for selected “focal” species), but there is no indication that the structural composition of core areas, corridors, and buffer areas could ensure the functional connectivity and improve the viability of more than a few species. The theory behind ENs fails to provide sufficient practical information on how to build them (e.g., width, shape, structure, content). In fact, no EN so far has been validated in practice (ensuring connectivity and increasing overall biodiversity conservation), and there are no signs that validation will be possible in the near future. In view of these limitations, it is difficult to justify spending economic and political resources on building systems that are at best working hypotheses that cannot be evaluated on a practical level.},
language = {en},
number = {6},
urldate = {2023-03-31},
journal = {Conservation Biology},
author = {Boitani, Luigi and Falcucci, Alessandra and Maiorano, Luigi and Rondinini, Carlo},
year = {2007},
note = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1523-1739.2007.00828.x},
keywords = {conectividad, connectivity, corridors, especies focales, focal species, áreas nucleo, core areas, corredores, ecological networks, redes ecológicas},
pages = {1414--1422},
file = {Full Text PDF:/home/lucasjardim/Zotero/storage/QYP8TA3N/Boitani et al. - 2007 - Ecological Networks as Conceptual Frameworks or Op.pdf:application/pdf;Snapshot:/home/lucasjardim/Zotero/storage/46KI55PA/j.1523-1739.2007.00828.html:text/html},
}
@article{martin_coastal_1996,
title = {Coastal {Quaternary} {Formations} of the {Southern} {Part} of the {State} of {Espírito} {Santo} ({Brazil})},
volume = {68},
abstract = {A preliminary geologic map of the Quaternary deposits, situated at the Southern half of the State of Espirito Santo coastal plain, is presented in this paper. They are represented by two generations of wave-built terraces, which have been originated after 123,000 years and 5,100 years B.P., by paleolagoonal deposits related to the last high sea-level period and by alluvial, coastal marsh and mangrove deposits of Holocene age. The evolutionary model valid for this sector of coast is quite similar to that previously established for other sectors of the Brazilian coast. (Résumé d'auteur)},
journal = {Anais da Academia Brasileira de Ciencias},
author = {Martin, Louis and Suguio, F. and Flexor, Jean and Archanjo, J.L.},
month = jan,
year = {1996},
file = {Full Text PDF:/home/lucasjardim/Zotero/storage/UE2T4K9G/Martin et al. - 1996 - Coastal Quaternary Formations of the Southern Part.pdf:application/pdf},
}
@article{luiz_geomorphology_2016,
title = {Geomorphology {Drives} {Amphibian} {Beta} {Diversity} in {Atlantic} {Forest} {Lowlands} of {Southeastern} {Brazil}},
volume = {11},
issn = {1932-6203},
url = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0153977},
doi = {10.1371/journal.pone.0153977},
abstract = {Beta diversity patterns are the outcome of multiple processes operating at different scales. Amphibian assemblages seem to be affected by contemporary climate and dispersal-based processes. However, historical processes involved in present patterns of beta diversity remain poorly understood. We assess and disentangle geomorphological, climatic and spatial drivers of amphibian beta diversity in coastal lowlands of the Atlantic Forest, southeastern Brazil. We tested the hypothesis that geomorphological factors are more important in structuring anuran beta diversity than climatic and spatial factors. We obtained species composition via field survey (N = 766 individuals), museum specimens (N = 9,730) and literature records (N = 4,763). Sampling area was divided in four spatially explicit geomorphological units, representing historical predictors. Climatic descriptors were represented by the first two axis of a Principal Component Analysis. Spatial predictors in different spatial scales were described by Moran Eigenvector Maps. Redundancy Analysis was implemented to partition the explained variation of species composition by geomorphological, climatic and spatial predictors. Moreover, spatial autocorrelation analyses were used to test neutral theory predictions. Beta diversity was spatially structured in broader scales. Shared fraction between climatic and geomorphological variables was an important predictor of species composition (13\%), as well as broad scale spatial predictors (13\%). However, geomorphological variables alone were the most important predictor of beta diversity (42\%). Historical factors related to geomorphology must have played a crucial role in structuring amphibian beta diversity. The complex relationships between geomorphological history and climatic gradients generated by the Serra do Mar Precambrian basements were also important. We highlight the importance of combining spatially explicit historical and contemporary predictors for understanding and disentangling major drivers of beta diversity patterns.},
language = {en},
number = {5},
urldate = {2023-03-07},
journal = {PLOS ONE},
author = {Luiz, Amom Mendes and Leão-Pires, Thiago Augusto and Sawaya, Ricardo J.},
month = may,
year = {2016},
note = {Publisher: Public Library of Science},
keywords = {Geomorphology, Amphibians, Brazil, Community structure, Paleoclimatology, Phylogeography, Precambrian supereon, Spatial autocorrelation},
pages = {e0153977},
file = {Full Text PDF:/home/lucasjardim/Zotero/storage/ZTRNSA4B/Luiz et al. - 2016 - Geomorphology Drives Amphibian Beta Diversity in A.pdf:application/pdf},
}
@article{carnaval_stability_2009,
title = {Stability predicts genetic diversity in the {Brazilian} {Atlantic} {Forest} {Hotspot}},
volume = {323},
url = {https://www.science.org/doi/10.1126/science.1166955},
doi = {10.1126/science.1166955},
abstract = {Biodiversity hotspots, representing regions with high species endemism and conservation threat, have been mapped globally. Yet, biodiversity distribution data from within hotspots are too sparse for effective conservation in the face of rapid environmental change. Using frogs as indicators, ecological niche models under paleoclimates, and simultaneous Bayesian analyses of multispecies molecular data, we compare alternative hypotheses of assemblage-scale response to late Quaternary climate change. This reveals a hotspot within the Brazilian Atlantic forest hotspot. We show that the southern Atlantic forest was climatically unstable relative to the central region, which served as a large climatic refugium for neotropical species in the late Pleistocene. This sets new priorities for conservation in Brazil and establishes a validated approach to biodiversity prediction in other understudied, species-rich regions.},
number = {5915},
urldate = {2023-03-14},
journal = {Science},
author = {Carnaval, Ana Carolina and Hickerson, Michael J. and Haddad, Célio F. B. and Rodrigues, Miguel T. and Moritz, Craig},
month = feb,
year = {2009},
note = {Publisher: American Association for the Advancement of Science},
keywords = {doctorado parte2: coexistence patterns},
pages = {785--789},
file = {Carnaval et al_2009_Stability predicts genetic diversity in the Brazilian Atlantic Forest Hotspot.pdf:/home/lucasjardim/Zotero/storage/3W8JC26C/Carnaval et al_2009_Stability predicts genetic diversity in the Brazilian Atlantic Forest Hotspot.pdf:application/pdf},
}
@article{correia_key_2020,
title = {Key {Points} about {North} and {Northern} {Brazilian} {Restinga}: a {Review} of {Geomorphological} {Characterization}, {Phytophysiognomies} {Classification}, and {Studies}’ {Tendencies}},
volume = {86},
issn = {1874-9372},
shorttitle = {Key {Points} about {North} and {Northern} {Brazilian} {Restinga}},
url = {https://doi.org/10.1007/s12229-020-09230-2},
doi = {10.1007/s12229-020-09230-2},
abstract = {Brazil has a pronounced complexity in coastal region, which affects the restingas’ diversity patterns. Therefore, we reviewed and systematized the knowledge about the attributes influencing the characterization and, eventually, the biases in the identification of restingas’ diversity patterns, mainly focusing in the Brazilian North and Northeast regions. Coastal geomorphology is one of the key attributes contributing to this complexity, acting as an environmental filter for the colonization of plant species. According to the standard classification, the Brazilian coast can be divided into five regions (North, Northeast, East, Southeast, and South). Another relevant attribute is phytophysiognomies, characterized by the collective characteristics of vegetation in a region, and for which exists six different classifications. The one proposed by Silva and Britez (2005) presents the best trade-off between specificity and generality by allowing both adequate local characterization and systematization for regional comparisons. Despite the length of the North and Northeast coast of Brazil, only 44 studies were conducted in these regions. The sampled areas were typically close to the state capitals, showing that logistical factors interfere with the selection of study areas. Besides, almost half of the studies omitted essential information such as the total area and sampling time, making it challenging to assess sample sufficiency and reproducibility. Another observed bias was a higher species richness in studies that partially or entirely used herbarium data. These gaps and biases on information constrain the ecological synthesis of restinga’ biodiversity patterns, mainly in larger spatial scales than those in which individual studies were conducted.},
language = {en},
number = {3},
urldate = {2023-03-07},
journal = {The Botanical Review},
author = {Correia, Bruna Emanuele Freire and de Almeida, Eduardo Bezerra and Zanin, Marina},
month = dec,
year = {2020},
keywords = {Amazon, Atlantic forest, Costal zones, Geomorphology, Herbarium, Phytophysiognomy},
pages = {329--337},
}
@misc{noauthor_fundamentos_nodate,
title = {Fundamentos da {Geomorfologia} {Costeira} do {Brasil} {Inter} e {SubTropical} {\textbar} {Revista} {Brasileira} de {Geomorfologia}},
url = {https://rbgeomorfologia.org.br/rbg/article/view/67},
urldate = {2023-03-07},
}
@article{shirani_automatic_2023,
title = {Automatic {Landform} {Recognition}, {Extraction}, and {Classification} using {Kernel} {Pattern} {Modeling}},
volume = {7},
issn = {2509-8829},
url = {https://doi.org/10.1007/s41651-022-00131-z},
doi = {10.1007/s41651-022-00131-z},
abstract = {Detection of terrain features more quickly and accurately is crucial in geosciences for the extracting and classifying landforms. Part of the local relief attributes would be lost in employing the conventional TPI (Topographic Position Index)-based methods to recognize terrain characteristics (landform recognition, extraction, and classification) due to use of the central tendency index (mean index). As a result, the automated recognition, extraction, and classification of terrain features (summit/ridge and pit/drainage) were performed in this research using the kernel pattern modeling based on digital elevation model (DEM) in the raster grid structure. Accordingly, three novel TPI-based algorithms including simple multi-level recognition system (SMRS), complex multi-level recognition system (CMRS), and central position recognition system (CPRS) were developed to recognize the terrain similarity to summit/ridgeline or terrain convex surfaces (and/or deviation from the pit/drainage or terrain concave surfaces). The algorithms were formulated and programmed using Python programming language and integrated in a software package as well. The results show that the SMRS algorithm tends to have more binary gradation (higher contrast) in smaller dimensions of the moving window, being problematic in some geovisual and cartographical applications. Output of the CPRS algorithm shows more continuity and better performance in the extraction of summit points in a vector data model format. All the three algorithms apply greater degree of generalization to the results as size of the moving window becomes larger. The accuracy assessment, sensitivity analysis, and possible sources of the errors were evaluated. Finally feature extraction and landform classification performed based on output results of the algorithms. The accuracy assessment and validation of the models were examined compared to the TPI and DEV (deviation from mean elevation) models by means of the D8 (for drainage path extraction) and inverted D8 (for ridgeline extraction) algorithms. Accordingly, all the developed algorithms perform better than the conventional method of TPI. The SMRS (88.87\%) and then CPRS (64.53\%) performed better than the other algorithms and TPI (56.83\%). The DEV performance (59.52\%) is similar to CMRS (59.19\%) and better than TPI. Based on the temporal sensitivity analysis, CMRS and SMRS are the most and least sensitive algorithms to the moving window size and spatial resolution variations, respectively. The possible error sources (edge effect, kernel local pattern, and point vectorization) were evaluated for the algorithms. Then, feature extraction (including summit/ridge or pit/drainage) was implemented on outputs of the algorithms. The CMRS and CPRS models displayed better performance in the vector point extraction compared to the other algorithms. A new landform classification system including 25 classes was also designed based on outputs of the developed algorithms combined with the terrain elevation variable. Landform classification maps generated based on the SMRS algorithm is visually different from what provided by the other algorithms and the CPRS landform classification performed better in distinguishing land units. The kernel size variations can modify landform recognition and classification scale in such a way that whatever size of the moving window is larger, the landform unit generalization is greater.},
language = {en},
number = {1},
urldate = {2023-03-07},
journal = {Journal of Geovisualization and Spatial Analysis},
author = {Shirani, Kourosh and Solhi, Sina and Pasandi, Mehrdad},
month = jan,
year = {2023},
keywords = {Geomorphometry, Automated mapping, Kernel pattern, Landform classification, Topographic position index (TPI)},
pages = {2},
}
@article{modenesi-gauttieri_morphotectonics_2002,
title = {Morphotectonics of a high plateau on the northwestern flank of the {Continental} {Rift} of southeastern {Brazil}},
volume = {43},
issn = {0169-555X},
url = {https://www.sciencedirect.com/science/article/pii/S0169555X01001374},
doi = {10.1016/S0169-555X(01)00137-4},
abstract = {Integration of landform and structural analysis allowed the identification of Late Pleistocene–Holocene pulses of tectonic activity in the Campos do Jordão Plateau with ages and regimes similar to the ones from the continental rift. Fault reactivation along Precambrian shear zones give rise to a series of conspicuous morphotectonic features, determine the formation of stream piracy phenomena, and divide the plateau into smaller blocks. Recognition of these tectonic pulses as well as of their effects in landform development—particularly clear on the Campos de São Francisco at the highest area of the SE edge of the plateau—show that besides the climate-related Quaternary environmental changes significant neotectonic instability should be considered in the geomorphic evolution of the Campos do Jordão Plateau.},
language = {en},
number = {3},
urldate = {2023-03-07},
journal = {Geomorphology},
author = {Modenesi-Gauttieri, May Christine and Takashi Hiruma, Silvio and Riccomini, Claudio},
month = mar,
year = {2002},
keywords = {Hillslope evolution, Morphotectonics, Quaternary, Southeastern Brazil, Tropical plateau},
pages = {257--271},
}
@incollection{schaefer_geological_2022,
address = {Cham},
title = {The {Geological}, {Geomorphological}, {Climatic}, and {Hydrological} {Background} of {Tropical} {Regoliths} and {Hostile} {Subsoils}: {The} {Brazilian} {Landmass}},
isbn = {978-3-031-00317-2},
shorttitle = {The {Geological}, {Geomorphological}, {Climatic}, and {Hydrological} {Background} of {Tropical} {Regoliths} and {Hostile} {Subsoils}},
url = {https://doi.org/10.1007/978-3-031-00317-2_2},
abstract = {In this chapter, we first describe the global nature of tropical regoliths, showing the remarkable differences with temperate latitudes counterparts. It is shown that most regoliths and subsoils in the tropics are polycyclic and not directly attributable to the present-day climates because of inherited features from past climatic conditions. The Brazilian land surface has one of the deepest regolith mantles at a planetary scale, resulting from a long-term evolution under terrestrial conditions and warm, tropical climates within a tropical latitudinal belt since the Jurassic. Depending on the parent rocks, this deep regolith is varied in the constitution, but mature pre-weathered sediments are commonly observed throughout the country. The two basic subsoils (kaolinitic/bauxitic and Fe-rich ferricretes) are described, and we offer a fresh perspective on the Brazilian view of these common tropical regoliths. We present a pioneering map of the distribution of Brazilian regoliths according to depth to the lithic contact, estimated from soil surveys. It indicates that the shallowest depths are found on resistant rock belts, especially along the quartzitic Espinhaço Range and scattered areas on granites and quartzites in the southern Amazon. The main area of shallow saprolites is those on granites and migmatites/gneiss from the semiarid northeast. Thus, climate and geological structure are essential for subsoil deepening, and most of the Brazilian landmass is dominated by much deeper subsoils, reaching depths exceeding 20 m of rotten rocks. To understand the formation of regoliths in the Brazilian landmass, we present all types of tropical alterations classified according to the geochemical processes. The allitization, monosiallitization, bisiallitization, and ferrallitization are defined and exemplified in Brazil, showing their relationship with current and past climatic differences. We highlight Oxisols as the main representatives of weathered and deep saprolite-derived soils. Their chemical, physical, and mineralogical properties reflect prolonged weathering and chemical denudation, and the nature of saprolites has a definite impact on soil constituents, irrespective of bioclimatic conditions. The vast distribution of deep regoliths in the tropical domain is associated with extensive aquifers, mainly under sandy formations of the Paleo-Mesozoic basins. For a broad discussion on the chemical and physical limitations of hostile subsoils in Brazil, we used the framework of the major rocks found in the country and their association with soil-landform and regolith attributes. Finally, we believe that the importance of subsoils and regoliths, their genesis, and environmental implications must be discussed in a broader perspective, incorporating hydrological, pedological, and environmental interplays focused on practical applications of this knowledge. Therefore, we argue that regoliths and subsoils are now recognized as an essential part of the critical zone.},
language = {en},
urldate = {2023-03-07},
booktitle = {Subsoil {Constraints} for {Crop} {Production}},
publisher = {Springer International Publishing},
author = {Schaefer, Carlos Ernesto Gonçalves Reynaud and de Souza, José João Lelis Leal and de Oliveira, Fábio Soares and Corrêa, Guilherme Resende and Fernandes Filho, Elpídio Inácio},
editor = {Oliveira, Teogenes Senna de and Bell, Richard Willian},
year = {2022},
doi = {10.1007/978-3-031-00317-2_2},
keywords = {Critical zone, Subsoil definition, Tropical soils, Tropical weathering},
pages = {11--52},
}
@article{martin_-_nodate,
title = {- {THE} {ANCIENT} {STRANDLINES} -},
language = {en},
author = {Martin, Louis and Suguio, Kewxtiro},
file = {Martin and Suguio - - THE ANCIENT STRANDLINES -.pdf:/home/lucasjardim/Zotero/storage/58FZM8YU/Martin and Suguio - - THE ANCIENT STRANDLINES -.pdf:application/pdf},
}
@article{lauriano_geological_2022,
title = {Geological {Sites} {Supporting} the {Sustainable} {Development} {Goals} of the {UN} 2030 {Agenda}: {A} {Survey} on the {North} {Coast} of {São} {Paulo}, {Brazil}},
volume = {5},
issn = {2645-4661},
shorttitle = {Geological {Sites} {Supporting} the {Sustainable} {Development} {Goals} of the {UN} 2030 {Agenda}},
url = {https://gcr.isfahan.iau.ir/article_699364.html},
doi = {10.30486/gcr.2023.1974073.1117},
abstract = {An essential component for sustaining biodiversity and providing natural resources for society is the management of geodiversity, as represented by the geoheritage of a region, comprising a collection of geosites. In nature conservation planning, the UN 17 Sustainable Development Goals (SDGs) provide an excellent framework for both the private and public sectors. The north coast of the state of São Paulo, Brazil is an area widely used for tourism, with critical problems related to mainly anthropogenic degradation of nature. Forty-three geosites that show important records of regional geology were analyzed for their potential support in achieving the UN 17 SDG and 169 targets. Using Essential Geodiversity Variables (EGVs), our results indicate that, from the 17 SDGs, 13 could benefit directly from actions involving local geodiversity. The relative performance of the geosites in terms of the number of targets for each SDG ranges from 7.7 to 50\%. We show that geodiversity plays a fundamental role in contributing to sustainable development and has great potential to influence public policies. In addition, our work can serve as an inspiration for studies involving ecosystem services and encourage greater participation of the local community in nature conservation actions with the sustainable use of geodiversity.},
number = {2},
urldate = {2023-03-07},
journal = {Geoconservation Research},
author = {Lauriano, Laíza Maietto and Queiroz, Debora Silva and Garcia, Maria Da Gloria Motta},
month = nov,
year = {2022},
note = {Publisher: Islamic Azad University-Isfahan Branch},
pages = {335--346},
file = {Full Text PDF:/home/lucasjardim/Zotero/storage/BMN9FXEZ/Lauriano et al. - 2022 - Geological Sites Supporting the Sustainable Develo.pdf:application/pdf},
}
@article{garcia_dem-based_2019,
title = {{DEM}-based geomorphological mapping and landforms characterization of a tropical karst environment in southeastern {Brazil}},
volume = {93},
issn = {0895-9811},
url = {https://www.sciencedirect.com/science/article/pii/S0895981118303560},
doi = {10.1016/j.jsames.2019.04.013},
abstract = {This work presents a 1:10,000 geomorphological mapping of an area in southeastern Brazil, based on morphometric analysis of Digital Elevation Models (DEMs), while classical methods focus on photo interpretation. Data derived from the DEM include elevation, slope gradient, slope aspect, vertical and horizontal curvatures, amplitude, elongation and wavelength of landforms. These parameters were used along with slope shape and drainage patterns to classify the landforms according to the Land Systems method, in which portions of the landscape that presents similar terrains attributes are grouped from regional (low detail) to local (high detail) scales, respectively, Land Systems, Land Units and Land Elements. The São Paulo State geomorphological map at 1:1,000,000 scale is considered the best reference source, and was compared with the results obtained in this project. Two Land Systems, four Land Units and twelve Land Elements were identified in the study area. In this area, karst terrains are common and easily identified due their characteristics drainage patterns, amplitude and slope gradient. Karst terrain boundaries defined in this study do overlap with those defined in the state map, however the morphometric analysis allowed a better description of the terrain attributes used to define them. The terrain attributes derived automatically from the DEM enabled an accurate geomorphological classification of the study area. The methodology presented in this paper is considered effective for mapping landforms at a detailed scale and can be employed in regional scale mapping using coarser resolution DEMs.},
language = {en},
urldate = {2023-03-07},
journal = {Journal of South American Earth Sciences},
author = {Garcia, Guilherme P. B. and Grohmann, Carlos H.},
month = aug,
year = {2019},
keywords = {Geomorphology, Digital Elevation Model, Geomorphometry, Karst, Land systems, Ribeira river},
pages = {14--22},
file = {ScienceDirect Snapshot:/home/lucasjardim/Zotero/storage/YCRGLY67/S0895981118303560.html:text/html;Submitted Version:/home/lucasjardim/Zotero/storage/VNZ7LZLM/Garcia and Grohmann - 2019 - DEM-based geomorphological mapping and landforms c.pdf:application/pdf},
}
@article{absaber_fundamentos_2000,
title = {Fundamentos da {Geomorfologia} {Costeira} do {Brasil} {Inter} e {SubTropical}},
volume = {1},
copyright = {Copyright (c)},
issn = {2236-5664},
url = {https://rbgeomorfologia.org.br/rbg/article/view/67},
doi = {10.20502/rbg.v1i1.67},
abstract = {Palavras chave: litoral tropical; metodologia, costa do Brasil: setores b\ásicos, bibliografia seletiva.},
language = {pt},
number = {1},
urldate = {2023-03-07},
journal = {Revista Brasileira de Geomorfologia},
author = {Ab’Sáber, Aziz Nacib},
month = dec,
year = {2000},
note = {Number: 1},
file = {Full Text PDF:/home/lucasjardim/Zotero/storage/6N2DFFV4/Ab’Sáber - 2000 - Fundamentos da Geomorfologia Costeira do Brasil In.pdf:application/pdf},
}
@article{castilho_evaluating_2015,
title = {Evaluating {Landscape} {Connectivity} for {Puma} concolor and {Panthera} onca {Among} {Atlantic} {Forest} {Protected} {Areas}},
volume = {55},
issn = {1432-1009},
url = {https://doi.org/10.1007/s00267-015-0463-7},
doi = {10.1007/s00267-015-0463-7},
abstract = {Strictly Protected Areas and riparian forests in Brazil are rarely large enough or connected enough to maintain viable populations of carnivores and animal movement over time, but these characteristics are fundamental for species conservation as they prevent the extinction of isolated animal populations. Therefore, the need to maintain connectivity for these species in human-dominated Atlantic landscapes is critical. In this study, we evaluated the landscape connectivity for large carnivores (cougar and jaguar) among the Strictly Protected Areas in the Atlantic Forest, evaluated the efficiency of the Mosaics of Protected Areas linked to land uses in promoting landscape connectivity, identified the critical habitat connections, and predicted the landscape connectivity status under the implementation of legislation for protecting riparian forests. The method was based on expert opinion translated into land use and land cover maps. The results show that the Protected Areas are still connected by a narrow band of landscape that is permeable to both species and that the Mosaics of Protected Areas increase the amount of protected area but fail to increase the connectivity between the forested mountain ranges (Serra do Mar and Serra da Mantiqueira). Riparian forests greatly increase connectivity, more than tripling the cougars’ priority areas. We note that the selection of Brazilian protected areas still fails to create connectivity among the legally protected forest remnants. We recommend the immediate protection of the priority areas identified that would increase the structural landscape connectivity for these large carnivores, especially paths in the SE/NW direction between the two mountain ranges.},
language = {en},
number = {6},
urldate = {2023-03-30},
journal = {Environmental Management},
author = {Castilho, Camila S. and Hackbart, Vivian C. S. and Pivello, Vânia R. and dos Santos, Rozely F.},
month = jun,
year = {2015},
keywords = {Carnivore conservation, Cougars, Environmental planning, Jaguars, Permeability, Riparian Forest},
pages = {1377--1389},
}
@article{jones_incorporating_2016,
title = {Incorporating climate change into spatial conservation prioritisation: {A} review},
volume = {194},
issn = {0006-3207},
shorttitle = {Incorporating climate change into spatial conservation prioritisation},
url = {https://www.sciencedirect.com/science/article/pii/S0006320715301877},
doi = {10.1016/j.biocon.2015.12.008},
abstract = {To ensure the long-term persistence of biodiversity, conservation strategies must account for the entire range of climate change impacts. A variety of spatial prioritisation techniques have been developed to incorporate climate change. Here, we provide the first standardised review of these approaches. Using a systematic search, we analysed peer-reviewed spatial prioritisation publications (n=46) and found that the most common approaches (n=41, 89\%) utilised forecasts of species distributions and aimed to either protect future species habitats (n=24, 52\%) or identify climate refugia to shelter species from climate change (n=17, 37\%). Other approaches (n=17, 37\%) used well-established conservation planning principles to combat climate change, aimed at broadly increasing either connectivity (n=11, 24\%) or the degree of heterogeneity of abiotic factors captured in the planning process (n=8, 17\%), with some approaches combining multiple goals. We also find a strong terrestrial focus (n=35, 76\%), and heavy geographical bias towards North America (n=8, 17\%) and Australia (n=11, 24\%). While there is an increasing trend of incorporating climate change into spatial prioritisation, we found that serious gaps in current methodologies still exist. Future research must focus on developing methodologies that allow planners to incorporate human responses to climate change and recognise that discrete climate impacts (e.g. extreme events), which are increasing in frequency and severity, must be addressed within the spatial prioritisation framework. By identifying obvious gaps and highlighting future research needs this review will help practitioners better plan for conservation action in the face of multiple threats including climate change.},
language = {en},
urldate = {2023-05-22},
journal = {Biological Conservation},
author = {Jones, Kendall R. and Watson, James E. M. and Possingham, Hugh P. and Klein, Carissa J.},
month = feb,
year = {2016},
keywords = {Climate change, Biodiversity conservation, Conservation planning, Direct effects, Extreme events, Human response, Indirect effects, Spatial prioritisation},
pages = {121--130},
file = {ScienceDirect Snapshot:/home/lucasjardim/Zotero/storage/2L5EIGHP/S0006320715301877.html:text/html},
}
@article{carrasco_global_2021,
title = {Global progress in incorporating climate adaptation into land protection for biodiversity since {Aichi} targets},
volume = {27},
issn = {1365-2486},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/gcb.15511},
doi = {10.1111/gcb.15511},
abstract = {Climate adaptation strategies are being developed and implemented to protect biodiversity from the impacts of climate change. A well-established strategy involves the identification and addition of new areas for conservation, and most countries agreed in 2010 to expand the global protected area (PA) network to 17\% by 2020 (Aichi Biodiversity Target 11). Although great efforts to expand the global PA network have been made, the potential of newly established PAs to conserve biodiversity under future climate change remains unclear at the global scale. Here, we conducted the first global-extent, country-level assessment of the contribution of PA network expansion toward three key land prioritization approaches for biodiversity persistence under climate change: protecting climate refugia, protecting abiotic diversity, and increasing connectivity. These approaches avoid uncertainties of biodiversity predictions under climate change as well as the issue of undescribed species. We found that 51\% of the countries created new PAs in locations with lower mean climate velocity (representing better climate refugia) and 58\% added PAs in areas with higher mean abiotic diversity compared to the available, non-human-dominated lands not chosen for protection. However, connectivity among PAs declined in 53\% of the countries, indicating that many new PAs were located far from existing PAs. Lastly, we identified potential improvements for climate adaptation, showing that 94\% of the countries have the opportunity to improve in executing one or more approaches to conserve biodiversity. Most countries (60\%) were associated with multiple opportunities, highlighting the need for integrative strategies that target multiple land protection approaches. Our results demonstrate that a global improvement in the protection of climate refugia, abiotic diversity, and connectivity of reserves is needed to complement land protection informed by existing and projected species distributions. Our study also provides a framework for countries to prioritize land protection for climate adaptation using publicly available data.},
language = {en},
number = {9},
urldate = {2023-05-22},
journal = {Global Change Biology},
author = {Carrasco, Luis and Papeş, Monica and Sheldon, Kimberly S. and Giam, Xingli},
year = {2021},
note = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.15511},
keywords = {climate change, connectivity, protected areas, abiotic diversity, climate refugia, climate velocity},
pages = {1788--1801},
file = {Snapshot:/home/lucasjardim/Zotero/storage/DT3VAG9B/gcb.html:text/html},
}
@article{anderson_conserving_2010,
title = {Conserving the {Stage}: {Climate} {Change} and the {Geophysical} {Underpinnings} of {Species} {Diversity}},
volume = {5},
issn = {1932-6203},
shorttitle = {Conserving the {Stage}},
url = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0011554},
doi = {10.1371/journal.pone.0011554},
abstract = {Conservationists have proposed methods for adapting to climate change that assume species distributions are primarily explained by climate variables. The key idea is to use the understanding of species-climate relationships to map corridors and to identify regions of faunal stability or high species turnover. An alternative approach is to adopt an evolutionary timescale and ask ultimately what factors control total diversity, so that over the long run the major drivers of total species richness can be protected. Within a single climatic region, the temperate area encompassing all of the Northeastern U.S. and Maritime Canada, we hypothesized that geologic factors may take precedence over climate in explaining diversity patterns. If geophysical diversity does drive regional diversity, then conserving geophysical settings may offer an approach to conservation that protects diversity under both current and future climates. Here we tested how well geology predicts the species diversity of 14 US states and three Canadian provinces, using a comprehensive new spatial dataset. Results of linear regressions of species diversity on all possible combinations of 23 geophysical and climatic variables indicated that four geophysical factors; the number of geological classes, latitude, elevation range and the amount of calcareous bedrock, predicted species diversity with certainty (adj. R2 = 0.94). To confirm the species-geology relationships we ran an independent test using 18,700 location points for 885 rare species and found that 40\% of the species were restricted to a single geology. Moreover, each geology class supported 5–95 endemic species and chi-square tests confirmed that calcareous bedrock and extreme elevations had significantly more rare species than expected by chance (P{\textless}0.0001), strongly corroborating the regression model. Our results suggest that protecting geophysical settings will conserve the stage for current and future biodiversity and may be a robust alternative to species-level predictions.},
language = {en},
number = {7},
urldate = {2023-05-22},
journal = {PLOS ONE},
author = {Anderson, Mark G. and Ferree, Charles E.},
month = jul,
year = {2010},
note = {Publisher: Public Library of Science},
keywords = {Climate change, Conservation science, Geology, Geophysics, Latitude, Limestone, Sedimentary geology, Species diversity},
pages = {e11554},
file = {Anderson_Ferree_2010_Conserving the Stage.pdf:/home/lucasjardim/Zotero/storage/Z6XE4ERN/Anderson_Ferree_2010_Conserving the Stage.pdf:application/pdf},
}
@article{bauder_incorporating_2022,
title = {Incorporating habitat suitability, landscape distance, and resistant kernels to estimate conservation units for an imperiled terrestrial snake},
volume = {37},
issn = {1572-9761},
url = {https://doi.org/10.1007/s10980-022-01510-z},
doi = {10.1007/s10980-022-01510-z},
abstract = {Wildlife distributions are often subdivided into discrete conservation units to aid in implementing management and conservation objectives. Habitat suitability models, resistance surfaces, and resistant kernels provide tools for delineating spatially explicit conservation units but guidelines for parameterizing resistant kernels are generally lacking.},
language = {en},
number = {10},
urldate = {2023-04-11},
journal = {Landscape Ecology},
author = {Bauder, Javan M. and Chandler, Houston C. and Elmore, Michele L. and Jenkins, Christopher L.},
month = oct,
year = {2022},
keywords = {Connectivity modeling, Conservation units, Drymarchon couperi, Eastern indigo snake, Model calibration, Pattern-oriented modeling, Resistance surface, Resistant kernel},
pages = {2519--2533},
}
@article{kumar_connectivity_2022,
title = {Connectivity modelling in conservation science: a comparative evaluation},
volume = {12},
copyright = {2022 The Author(s)},
issn = {2045-2322},
shorttitle = {Connectivity modelling in conservation science},
url = {https://www.nature.com/articles/s41598-022-20370-w},
doi = {10.1038/s41598-022-20370-w},
abstract = {Landscape connectivity, the extent to which a landscape facilitates the flow of ecological processes such as organism movement, has grown to become a central focus of applied ecology and conservation science. Several computational algorithms have been developed to understand and map connectivity, and many studies have validated their predictions using empirical data. Yet at present, there is no published comparative analysis which uses a comprehensive simulation framework to measure the accuracy and performance of the dominant methods in connectivity modelling. Given the widespread usage of such models in spatial ecology and conservation science, a thorough evaluation of their predictive abilities using simulation techniques is essential for guiding their appropriate and effective application across different contexts. In this paper, we address this by using the individual-based movement model Pathwalker to simulate different connectivity scenarios generated from a wide range of possible movement behaviours and spatial complexities. With this simulated data, we test the predictive abilities of three major connectivity models: factorial least-cost paths, resistant kernels, and Circuitscape. Our study shows the latter two of these three models to consistently perform most accurately in nearly all cases, with their abilities varying substantially in different contexts. For the majority of conservation applications, we infer resistant kernels to be the most appropriate model, except for when the movement is strongly directed towards a known location. We conclude this paper with a review and interdisciplinary discussion of the current limitations and possible future developments of connectivity modelling.},