Abstract
Human–wildlife conflict, habitat loss, and prey hunting are the main threats to carnivore species worldwide. Forest conversion as consequence of deforestation and agricultural expansion increases the proximity between carnivores and humans, thereby escalating conflicts. Knowledge about carnivore species in data-poor countries, such as Colombia, is scarce which has the potential to result in poor landscape planning decisions. For many species, the only existing spatial information resides in expert-driven approaches which result in coarse-resolution ‘extent-of-occurrence’ maps. There is an increasing need for the development of methodologies to identify conservation and management areas at appropriate scales. Multi-criteria approaches will allow the inclusion of diverse species attributes enabling environmental institutions to address complex landscape decisions that result in conservation and management of carnivore habitat. We present a multi-criteria spatial identification tool for conservation and management areas, focused on Jaguars (Panthera onca) in the Sierra Nevada de Santa Marta, in northern Colombia. Our approach identifies areas based on the relationship between three spatial criteria: (1) suitable habitat patches, (2) habitat connectivity, and (3) zones of higher likelihood of human–jaguar conflict. We identified areas with the presence of at least one spatial criteria in 32% of the study area. Only 16.28% of these occur within protected areas (PAs) and the remaining fall on private lands (83.72%), either within (35.68%) or outside (48.04%) buffer zones of PAs. Our results highlight the need for multi-stakeholder collaborative approaches given that most proposed conservation areas fall on private rather than public lands.
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References
Amador-Alcalá S, Naranjo EJ, Jiménez-Ferrer G (2013) Wildlife predation on livestock and poultry: implications for predator conservation in the rainforest of south-east Mexico. Oryx 47:243–250. https://doi.org/10.1017/S0030605311001359
Amano T, Sutherland WJ (2013) Four barriers to the global understanding of biodiversity conservation: wealth, language, geographical location and security. Proc R Soc B Biol Sci. https://doi.org/10.1098/rspb.2012.2649
Amin A, Koné I (2015) People and protected areas: an assessment of cost and benefits of conservation to local people in Southeastern Ivory coast. Soc Nat Resour 28:925–940. https://doi.org/10.1080/08941920.2015.1014593
Armenteras D, Rodríguez N, Retana J (2015) National and regional relationships of carbon storage and tropical biodiversity. Biol Conserv 192:378–386. https://doi.org/10.1016/j.biocon.2015.10.014
Baptiste B, Pinedo-Vasquez M, Gutierrez-Velez VH et al (2017) Greening peace in Colombia. Nat Ecol Evol 1:0102. https://doi.org/10.1038/s41559-017-0102
Behdarvand N, Kaboli M, Ahmadi M et al (2014) Spatial risk model and mitigation implications for wolf-human conflict in a highly modified agroecosystem in western Iran. Biol Conserv 177:156–164. https://doi.org/10.1016/j.biocon.2014.06.024
Beier P, Spencer W, Baldwin RF et al (2013) Models of regional habitat quality and connectivity for pumas (Puma concolor) in the Southwestern United States. PLoS ONE 8:2712–2724. https://doi.org/10.1371/journal.pone.0081898
Benítez A, Finegan B, Jones J et al (2013) Aproximación al hábitat potencial para jaguar en la región Caribe colombiana. In: Payán Garrido E, Castaño Uribe C (eds) Grandes Felinos de Colombia, vol I. Panthera Colombia, Bogotá, pp 175–182
Betts MG, Wolf C, Ripple WJ et al (2017) Global forest loss disproportionately erodes biodiversity in intact landscapes. Nature 547:441–444. https://doi.org/10.1038/nature23285
Boitani L, Maiorano L, Baisero D et al (2011) What spatial data do we need to develop global mammal conservation strategies? Philos Trans R Soc Lond B Biol Sci 366:2623–2632. https://doi.org/10.1098/rstb.2011.0117
Borg BL, Arthur SM, Bromen NA et al (2016) Implications of harvest on the boundaries of protected areas for large carnivore viewing opportunities. PLoS ONE 11:e0153808. https://doi.org/10.1371/journal.pone.0153808
Bowman J, Jaeger JAG, Fahrig L (2002) Dispersal distance of mammals is proportional to home range size. Ecology 83:2049–2055. https://doi.org/10.2307/3071786
Cardillo M, Cardillo M, Mace GM et al (2005) Multiple causes of high extinction risk in large mammal species. Science (80-) 309:1239–1241. https://doi.org/10.1126/science.1116030
Carvalho EAR, Zarco-González MM, Monroy-Vilchis O, Morato RG (2015) Modeling the risk of livestock depredation by jaguar along the Transamazon highway, Brazil. Basic Appl Ecol 16:413–419. https://doi.org/10.1016/j.baae.2015.03.005
Cascelli De Azevedo FC, Murray DL (2007) Evaluation of potential factors predisposing livestock to predation by jaguars. J Wildl Manag 71:2379. https://doi.org/10.2193/2006-520
Castaño-uribe C, González-maya JF, Zárrate-charry D et al (2013) Plan de Conservación de Felinos del Caribe colombiano: Los felinos y su papel en la planificación regional integral basada en especies clave. Santa Marta, Colombia
Castilho CS, Hackbart VCS, Pivello VR, dos Santos RF (2015) Evaluating landscape connectivity for Puma concolor and Panthera onca among atlantic forest protected areas. Environ Manag 55:1377–1389. https://doi.org/10.1007/s00267-015-0463-7
Cianfrani C, Maiorano L, Loy A et al (2013) There and back again? Combining habitat suitability modelling and connectivity analyses to assess a potential return of the otter to Switzerland. Anim Conserv 16:584–594. https://doi.org/10.1111/acv.12033
Collen B, Ram M, Zamin T, McRae L (2008) The tropical biodiversity data gap: addressing disparity in global monitoring. Trop Conserv Sci 1:75–88. https://doi.org/10.1177/194008290800100202
Constant NL, Bell S, Hill RA (2015) The impacts, characterisation and management of human–leopard conflict in a multi-use land system in South Africa. Biodivers Conserv 24:2967–2989. https://doi.org/10.1007/s10531-015-0989-2
Correa Ayram CA, Mendoza ME, Etter A, Salicrup DRP (2015) Habitat connectivity in biodiversity conservation: a review of recent studies and applications. Prog Phys Geogr 40:1–32. https://doi.org/10.1177/0309133315598713
Crooks KR, Burdett CL, Theobald DM et al (2011) Global patterns of fragmentation and connectivity of mammalian carnivore habitat. Philos Trans R Soc B Biol Sci 366:2642–2651. https://doi.org/10.1098/rstb.2011.0120
de la Torre JA, González-Maya JF, Zarza H et al (2017) The jaguar’s spots are darker than they appear: assessing the global conservation status of the jaguar Panthera onca. Oryx. https://doi.org/10.1017/S0030605316001046
Di Minin E, Slotow R, Hunter LTB et al (2016) Global priorities for national carnivore conservation under land use change. Sci Rep 6:23814. https://doi.org/10.1038/srep23814
Dickman AJ, Macdonald EA, Macdonald DW (2011) A review of financial instruments to pay for predator conservation and encourage human–carnivore coexistence. Proc Natl Acad Sci USA 108:13937–13944. https://doi.org/10.1073/pnas.1012972108
Dickman A, Marchini S, Manfredo M, Lincoln A (2013) The human dimension in addressing conflict with large carnivores. In: Macdonald DW, Willis KJ (eds) Key topics in conservation biology 2, 1st edn. Wiley, New York, pp 110–126
Dinerstein E, Varma K, Wikramanayake E et al (2013) Enhancing conservation, ecosystem services, and local livelihoods through a wildlife premium mechanism. Conserv Biol 27:14–23. https://doi.org/10.1111/j.1523-1739.2012.01959.x
Elith J, Leathwick JR (2009) Species distribution models: ecological explanation and prediction across space and time. Annu Rev Ecol Syst 40:415–436. https://doi.org/10.1146/annurev.ecolsys.l
Fahrig L (2017) ecological responses to habitat fragmentation per se. Annu Rev Ecol Evol Syst 48:1–45
Feranec J, Hazeu G, Christensen S, Jaffrain G (2007) Corine land cover change detection in Europe (case studies of the Netherlands and Slovakia). Land Use Policy 24:234–247. https://doi.org/10.1016/j.landusepol.2006.02.002
Franklin J, Miller AJ (2009) Mapping species: spatial inference and prediction, 1st edn. Cambridge University Press, New York
Getis A, Ord JK (1992) The analysis of spatial association. Geogr Anal 24:189–206. https://doi.org/10.1111/j.1538-4632.1992.tb00261.x
Gonzalez-Borrajo N, López-Bao JV, Palomares F (2016) Spatial ecology of jaguars, pumas, and ocelots: a review of the state of knowledge. Mamm Rev 47:62–75. https://doi.org/10.1111/mam.12081
González-Maya JF, Cepeda AA, Belant JL et al (2011) Research priorities for the small carnivores of Colombia. Small Carniv Conserv 44:7–13
González-Maya J, Arias-Alzate A, Granados-Peña R et al (2016) Environmental determinants and spatial mismatch of mammal diversity measures in Colombia. Anim Biodivers Conserv 39:77–88
Granados-Peña R, Arias-Alzate A, Zárrate-Charry DA et al (2014) Una estrategia de conservación a escala regional para el jaguar (Panthera onca) en el distrito biogeográfico de la Sierra Nevada de Santa Marta, Colombia. Rev Biodivers Neotrop 4:109–116
Guillera-Arroita G, Lahoz-Monfort J, Elith J et al (2015) Is my species distribution model fit for purpose? Matching data and models to applications. Glob Ecol Biogeogr. https://doi.org/10.1111/geb.12268
Guisan A, Thuiller W, Zimmermann NE (2017) Habitat suitability and distribution models: with applications in R. Cambridge University Press, Cambridge
Hansen MC, Potapov P, Moore R et al (2013) High-resolution global maps of 21st-century forest cover change. Science (80-) 342:850–853
Hijmans RJ, Cameron SE, Parra JL et al (2005) Very high resolution interpolated climate surfaces for global land areas. Int J Climatol 25:1965–1978. https://doi.org/10.1002/joc.1276
Hoffmann M, Belant JL, Chanson JS et al (2011) The changing fates of the world’s mammals. Philos Trans R Soc B Biol Sci 366:2598–2610. https://doi.org/10.1098/rstb.2011.0116
Holmern T, Nyahongo J, Røskaft E (2007) Livestock loss caused by predators outside the Serengeti National Park, Tanzania. Biol Conserv 135:518–526. https://doi.org/10.1016/j.biocon.2006.10.049
Howey MCL (2011) Multiple pathways across past landscapes: circuit theory as a complementary geospatial method to least cost path for modeling past movement. J Archaeol Sci 38:2523–2535. https://doi.org/10.1016/j.jas.2011.03.024
Hunter L (2011) Carnivores of the world, 1st edn. Princeton University Press, New Jersey
IDEAM (2010) Leyenda nacional de coberturas de la tierra, 1st edn. Instituto de Hidrología, Meteorología y Estudios Ambientales, Bogota
Inskip C, Zimmermann A (2009) Human-felid conflict: a review of patterns and priorities worldwide. Oryx 43:18. https://doi.org/10.1017/S003060530899030X
IUCN (2018) The IUCN red list of threatened species. Version 2018-1. http://www.iucnredlist.org
Körner C (2007) The use of ‘altitude’ in ecological research. Trends Ecol Evol 22:569–574. https://doi.org/10.1016/J.TREE.2007.09.006
Kramer-Schadt S, Niedballa J, Pilgrim JD et al (2013) The importance of correcting for sampling bias in MaxEnt species distribution models. Divers Distrib 19:1366–1379. https://doi.org/10.1111/ddi.12096
Le Saout S, Hoffmann M, Shi Y et al (2013) Conservation. Protected areas and effective biodiversity conservation. Science 342:803–805. https://doi.org/10.1126/science.1239268
Legendre P (1993) Spatial autocorrelation: trouble or new paradigm? Ecology 74:1659–1673
Leidig M, Teeuw RM (2015) Quantifying and mapping global data poverty. PLoS ONE 10:e0142076. https://doi.org/10.1371/journal.pone.0142076
Liu C, Berry PM, Dawson TP, Pearson RG (2005) Selecting thresholds of occurrence in the prediction of species distributions. Ecography (Cop) 28:385–393. https://doi.org/10.1002/ece3.1878
MADS (2014) Guía Técnica para la Formulación de los Planes de Ordenación y Manejo de Cuencas Hidrográficas (POMCA). Dirección de Gestión Integral del Recurso Hídrico, Fondo Adaptación, nstitut o de Hidrología, Meteorología y Estudios Ambientales—IDEAM—Subdirección de Estudios Ambientales, Bogota
Maréchaux I, Rodrigues ASL, Charpentier A (2017) The value of coarse species range maps to inform local biodiversity conservation in a global context. Ecography (Cop) 40:1166–1176. https://doi.org/10.1111/ecog.02598
Mateo-Tomás P, Olea PP, Sánchez-Barbudo IS, Mateo R (2012) Alleviating human–wildlife conflicts: Identifying the causes and mapping the risk of illegal poisoning of wild fauna. J Appl Ecol 49:376–385. https://doi.org/10.1111/j.1365-2664.2012.02119.x
Mathai J, Duckworth JW, Meijaard E et al (2016) Carnivore conservation planning on Borneo: identifying key carnivore landscapes, research priorities and conservation interventions. Raffles Bull Zool 2016:186–217
McRae BH, Dickson BG, Keitt TH, Shah VB (2008) Using circuit theory to model connectivity in ecology, evolution, and conservation. Ecology 89:2712–2724. https://doi.org/10.1890/07-1861.1
Meena V, Macdonald DW, Montgomery RA (2014) Managing success: Asiatic lion conservation, interface problems and peoples’ perceptions in the Gir Protected Area. Biol Conserv 174:120–126. https://doi.org/10.1016/j.biocon.2014.03.025
Merow C, Smith MJ, Silander JA (2013) A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter. Ecography (Cop) 36:1058–1069. https://doi.org/10.1111/j.1600-0587.2013.07872.x
Meyer C, Kreft H, Guralnick R, Jetz W (2015) Global priorities for an effective information basis of biodiversity distributions. Nat Commun 6:1–8. https://doi.org/10.1038/ncomms9221
Meyer C, Weigelt P, Kreft H (2016) Multidimensional biases, gaps and uncertainties in global plant occurrence information. Ecol Lett. https://doi.org/10.1111/ele.12624
Miller JRB (2015) Mapping attack hotspots to mitigate human–carnivore conflict: approaches and applications of spatial predation risk modeling. Biodivers Conserv 24:2887–2911. https://doi.org/10.1007/s10531-015-0993-6
Mitchell BR, Tierney GL, Schweiger EW et al (2014) Getting the Message Across: Using Ecological Integrity to Communicate with Resource Managers. In: Guntenspergen GR (ed) Application of threshold concepts in natural resource decision making. Springer, New York, pp 1–324
Moilanen A, Wilson KA, Possingham HP (2009) Spatial conservation prioritization: quantitative methods and computational tools. Oxford University Press, Oxford
Morato RG, de Barros KMPM, de Paula RC, de Campos CB (2014) Identification of priority conservation areas and potential corridors for jaguars in the Caatinga Biome, Brazil. PLoS ONE 9:e92950. https://doi.org/10.1371/journal.pone.0092950
Muscarella R, Galante PJ, Soley-Guardia M et al (2014) ENMeval: an R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models. Methods Ecol Evol 5:1198–1205. https://doi.org/10.1111/2041-210X.12261
Negret PJ, Allan J, Braczkowski A et al (2017) Need for conservation planning in postconflict Colombia. Conserv Biol. https://doi.org/10.1111/COBI.12902
O’Farrell PJ, Anderson PML (2010) Sustainable multifunctional landscapes: a review to implementation. Curr Opin Environ Sustain 2:59–65
Olsoy PJ, Zeller KA, Hicke JA et al (2016) Quantifying the effects of deforestation and fragmentation on a range-wide conservation plan for jaguars. Biol Conserv 203:8–16. https://doi.org/10.1016/j.biocon.2016.08.037
Peterson AT, Navarro-Sigüenza AG, Gordillo A (2016) Assumption-versus data-based approaches to summarizing species’ ranges. Conserv Biol 00:1–8. https://doi.org/10.1111/cobi.12801
Phillips SJ (2009) Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data. Ecol Appl 19:181–197. https://doi.org/10.1890/07-2153.1
Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modeling of species geographic distributions. Ecol Modell 190:231–259. https://doi.org/10.1016/j.ecolmodel.2005.03.026
Pimm SL, Harris G, Jenkins CN et al (2017) Unfulfilled promise of data-driven approaches: response to Peterson et al. Conserv Biol 31:944–947. https://doi.org/10.1111/cobi.12928
Pineda E, Lobo JM (2012) The performance of range maps and species distribution models representing the geographic variation of species richness at different resolutions. Glob Ecol Biogeogr 21:935–944. https://doi.org/10.1111/j.1466-8238.2011.00741.x
Pitman RT, Swanepoel LH, Hunter L et al (2015) The importance of refugia, ecological traps and scale for large carnivore management. Biodivers Conserv 24:1975–1987. https://doi.org/10.1007/s10531-015-0921-9
Polak T, Watson JEM, Fuller RA et al (2015) Efficient expansion of global protected areas requires simultaneous planning for species and ecosystems. R Soc Open Sci 2:150107. https://doi.org/10.1098/rsos.150107
Rabinowitz A, Zeller KA (2010) A range-wide model of landscape connectivity and conservation for the jaguar Panthera onca. Biol Conserv 143:939–945. https://doi.org/10.1016/j.biocon.2010.01.002
Radosavljevic A, Anderson RP (2014) Making better Maxent models of species distributions: complexity, overfitting and evaluation. J Biogeogr 41:629–643. https://doi.org/10.1111/jbi.12227
Ramirez-Reyes C, Bateman BL, Radeloff VC (2016) Effects of habitat suitability and minimum patch size thresholds on the assessment of landscape connectivity for Jaguars in the Sierra Gorda. Biol Conserv, Mexico. https://doi.org/10.1016/j.biocon.2016.10.020
Ripple WJ, Chapron G, López-Bao JV et al (2013) Jaguars, pumas, their prey base, and cattle ranching: ecological interpretations of a management problem. Oryx 24:18. https://doi.org/10.1017/S003060530899030X
Ripple WJ, Estes JA, Beschta RL et al (2014) Status and ecological effects of the world’s largest carnivores. Science (80-) 343:1241484. https://doi.org/10.1126/science.1241484
Ripple WJ, Abernethy K, Betts MG et al (2016a) Bushmeat hunting and extinction risk to the world’s mammals. R Soc Open Sci 3:160498. https://doi.org/10.1098/rsos.160498
Ripple WJ, Chapron G, López-Bao JV et al (2016b) Saving the World’s Terrestrial Megafauna. Bioscience 66:807–812. https://doi.org/10.1093/biosci/biw092
Robinson EJZ, Albers HJ, Busby GM (2013) The impact of buffer zone size and management on illegal extraction, park protection, and enforcement. Ecol Econ 92:96–103. https://doi.org/10.1016/j.ecolecon.2012.06.019
Rodríguez-Soto C, Monroy-Vilchis O, Zarco-González MM (2013) Corridors for jaguar (Panthera onca) in Mexico: conservation strategies. J Nat Conserv 21:438–443. https://doi.org/10.1016/j.jnc.2013.07.002
Schipper J, Chanson JS, Chiozza F et al (2008) The status of the world’s land and marine mammals: diversity, threat, and knowledge. Science (80-) 322:225–230. https://doi.org/10.1126/science.1165115
Shafer C (1999) US National Park Buffer Zones: historical, scientific, social, and legal aspects. Environ Manag 23:49–73
Shcheglovitova M, Anderson RP (2013) Estimating optimal complexity for ecological niche models: a jackknife approach for species with small sample sizes. Ecol Modell 269:9–17. https://doi.org/10.1016/j.ecolmodel.2013.08.011
Shirley SM, Yang Z, Hutchinson RA et al (2013) Species distribution modelling for the people: unclassified landsat TM imagery predicts bird occurrence at fine resolutions. Divers Distrib 19:855–866. https://doi.org/10.1111/ddi.12093
Soberón J (2007) Grinnellian and Eltonian niches and geographic distributions of species. Ecol Lett 10:1115–1123. https://doi.org/10.1111/j.1461-0248.2007.01107.x
Valenzuela-Galván D, Arita HT, Macdonald DW (2008) Conservation priorities for carnivores considering protected natural areas and human population density. Biodivers Conserv 17:539–558. https://doi.org/10.1007/s10531-007-9269-0
Watkins A, Noble J, Foster RJ et al (2015) A spatially explicit agent-based model of the interactions between jaguar populations and their habitats. Ecol Modell 306:268–277. https://doi.org/10.1016/j.ecolmodel.2014.10.038
Wilson DE, Mittermier RA (eds) (2009) The handbook of mammals of the world. Carnivores, vol 1, 1st edn. Linx Edicions, Barcelona
Wilson KA, Evans MC, Di Marco M et al (2011) Prioritizing conservation investments for mammal species globally. Philos Trans R Soc Lond B Biol Sci 366:2670–2680. https://doi.org/10.1098/rstb.2011.0108
Wisz MS, Hijmans RJ, Li J et al (2008) Effects of sample size on the performance of species distribution models. Divers Distrib 14:763–773. https://doi.org/10.1111/j.1472-4642.2008.00482.x
Woodroffe R, Ginsberg JR (1998) Edge effects and the extinction of populations inside protected areas. Science (80-) 280:2126–2128
Yackulic CB, Chandler R, Zipkin EF et al (2013) Presence-only modelling using MAXENT: when can we trust the inferences? Methods Ecol Evol 4:236–243. https://doi.org/10.1111/2041-210x.12004
Zambrano H, Naranjo LG (2009) Ruta para la Declaratoria de Nuevas Áreas y Ampliaciones en el Sistema de Parques Nacionales Naturales de Colombia. Parques Nacionales Naturales de Colombia, Bogotá
Zarco-González MM, Monroy-Vilchis O, Rodríguez-Soto C, Urios V (2012) Spatial factors and management associated with livestock predations by Puma concolor in Central Mexico. Hum Ecol 40:631–638. https://doi.org/10.1007/s10745-012-9505-4
Zarco-González MM, Monroy-Vilchis O, Alaníz J (2013) Spatial model of livestock predation by jaguar and puma in Mexico: conservation planning. Biol Conserv 159:80–87. https://doi.org/10.1016/j.biocon.2012.11.007
Zhang Z, Sherman R, Yang Z et al (2013) Integrating a participatory process with a GIS-based multi-criteria decision analysis for protected area zoning in China. J Nat Conserv 21:225–240. https://doi.org/10.1016/j.jnc.2012.12.006
Acknowledgements
We thank all the researchers, students, farmers, and field crew that have participated in the Wild Felids Conservation Plan for the Colombian Caribbean Region. We also thank Parques Nacionales Naturales de Colombia, CORPAMAG, CORPOGUAJIRA and CORPOCESAR for supporting different projects in the study area that provide valuable information for the present manuscript. Grants from Colciencias and Fulbright supported this research. We developed the present project with invaluable support from Proyecto de Conservación de Aguas y Tierras and the Sierra to Sea Institute. The authors also thank Urs Kormann for his comments and support during the development of this paper and Jessica Dayanh Reyes Arias and Sebastian Jimenez Alvarado for their contribution organizing the literature review.
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Funding was provided by Wild felid monitor (Grant No. Latin American Grant).
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Communicated by Stephen Garnett.
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a) Cover types previously reported as jaguar habitat used to define suitable patches. b) References used to identify cover types reported as jaguar habitat. C) Reported home range of jaguar in similar landscapes from America. Supplementary material 1 (XLSX 29 kb)
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Mean resistance values defined for each influencing variable for jaguar movement in Sierra Nevada de Santa Marta. Supplementary material 2 (DOCX 28 kb)
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Detailed output of ecological niche model for jaguar in Sierra Nevada. Supplementary material 3 (DOCX 485 kb)
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Detailed output of likelihood of occurrence of conflict model. Supplementary material 4 (DOCX 745 kb)
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Conservation and management areas for jaguar by department, tenure and type in Sierra Nevada de Santa Marta, Colombia. Supplementary material 5 (DOCX 25 kb)
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Zárrate-Charry, D.A., Massey, A.L., González-Maya, J.F. et al. Multi-criteria spatial identification of carnivore conservation areas under data scarcity and conflict: a jaguar case study in Sierra Nevada de Santa Marta, Colombia. Biodivers Conserv 27, 3373–3392 (2018). https://doi.org/10.1007/s10531-018-1605-z
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DOI: https://doi.org/10.1007/s10531-018-1605-z