Using species distribution models to predict potential landscape restoration effects on puma conservation

PLoS ONE

Volumn 11, Issue 1, 2016, Pages

  Angelieri, Cintia Camila Silva ^a,b   Adams Hosking, Christine ^b   Paschoaletto, Katia Maria ^c   De Barros Ferraz, Micchi ^a   De Souza, Marcelo Pereira ^a   McAlpine, Clive Alexander ^b  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c Luiz de Queiroz College of Agriculture ^*

Author keywords

[No Author keywords available]

Indexed keywords

BRAZIL; ENTROPY; ENVIRONMENTAL PLANNING; FOREST; INFORMATION PROCESSING; LAND USE; LANDSCAPE; MAJOR CLINICAL STUDY; MODEL; PROBABILITY; SPECIES DISTRIBUTION; SPECIES HABITAT; STATISTICAL MODEL; VEGETATION; ANIMAL; AREA UNDER THE CURVE; BIOLOGICAL MODEL; ECOSYSTEM; ENVIRONMENTAL PROTECTION; PHYSIOLOGY; PUMA; RECEIVER OPERATING CHARACTERISTIC;

ANIMALS; AREA UNDER CURVE; BRAZIL; CONSERVATION OF NATURAL RESOURCES; ECOSYSTEM; MODELS, BIOLOGICAL; PUMA; ROC CURVE;

EID: 84954123887     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0145232     Document Type: Article

References (94)

1. McKee JK, Sciulli PW, Fooce CD, Waite TA (2003) Forecasting global biodiversity threats associated with human population growth. Biological Conservation 115:161-164.
2. Chazdon RL, Harvey CA, Komar O, Griffith DM, Ferguson BG, Martínez-Ramos M et al. (2009) Beyond Reserves: A Research Agenda for Conserving Biodiversity in Human-modified Tropical Landscapes. Biotropica 41:142-153.
3. Bennett AF, Radford JQ, Haslem A (2006) Properties of land mosaics: implications for nature conservation in agricultural environments. Biological Conservation 133:250-264.
4. Vandermeer J, Perfecto I (2007) The agricultural matrix and a future paradigm for conservation. Conservation Biology 21:274-277. PMID: 17298536
5. Cardillo M, Purvis A, Bielby J, Mace GM, Sechrest W, Gittleman JL (2004) Human population density and extinction risk in the world's carnivorous. PLoS Biology 2:909-914.
6. Crooks KR (2002) Relative sensitivities of mammalian carnivores to habitat fragmentation. Conservation Biology 6:488-502.
7. Dotta G, Verdade LM (2007) Trophic categories in a mammal assemblage: diversity in an agricultural landscape. Biota Neotropica 7:287-292.
8. Goulart FVB, Cáceres NC, Graipel ME, Tortato MA, Ghizoni IR Jr, Oliveira-Santos L G R (2009) Habitat selection by large mammals in a southern Brazilian Atlantic Forest. Mammalian Biology 74:182-190.
9. Stahl P, Vandel JM, Herrenschmidt V, Migot P (2001) The effect of removing lynx in reducing attacks on sheep in the French Jura Mountains. Biological Conservation 101:15-22.
10. Chapron G, Legendre S, Ferrière R, Clobert J, Haight RG (2003) Conservation and control strategies for the wolf (Canis lupus) in western Europe based on demographic models. Comptes Rendus Biologies 326:575-587. PMID: 14558477
11. Kissui BM (2008) Livestock predation by lions, leopards, spotted hyenas, and their vulnerability to retaliatory killing in the Maasai steppe, Tanzania. Animal Conservation 11:422-432.
12. Palmeira FBL, Crawshaw PG Jr, Haddad CM, Ferraz K M PM, Verdade LM (2008) Cattle depredation by puma (Puma concolor) and jaguar (Panthera onca) in central-western Brazil. Biological Conservation 141:118-125.
13. Zarco-González MM, Monroy-Vilchis O, Alaníz J (2013) Spatial model of livestock predation by jaguar and puma in Mexico: Conservation planning. Biological Conservation 159:80-87.
14. Woodroffe R (2000) Predators and people: using human densities to interpret declines of large carnivores. Animal Conservation 3:165-173.
15. Caso A, Lopez-Gonzalez C, Payan E, Eizirik E, de Oliveira T, Leite-Pitman R, et al. (2008). Panthera onca. The IUCN Red List of Threatened Species 2008: e. T15953A5327466. Downloaded on 11 Sep. 2015.
16. Sanderson EW, Redford KH, Chetkiewicz CB, Medellin RA, Rabinowitz AR, Robinson JG, et al. (2002) Planning to save a species: the jaguar as a model. Conservation Biology 16(1):58.
17. Tôrres NM, De Marco P Jr, Diniz Filho JAF, Silveira L (2008) Jaguar Distribution in Brazil: Past, Present and Future. Autumn 2008 Cat News Special Issue 4:4-8.
18. Leandro Silveira Galetti M, Eizirik E, Beisiegel B, Ferraz K M PM, Cavalcanti S, Srbek-Araujo AC et al. (2013) Atlantic Rainforest's Jaguars in Decline. Science Letters 342:930.
19. M L S P Jorge, M Galetti, M C Ribeiro, Ferraz K M PM (2013) Mammal defaunation as surrogate of trophic cascades in a biodiversity hotspot. Biological Conservation 163:49-57.
20. RippleWJ, Beschta RL (2008) Trophic cascades involving cougar, mule deer, and black oaks in Yosemite National Park. Biological Conservation 141:1249-1256.
21. Ripple WJ, Estes JA, Beschta RL, Wilmers CC, Ritchie EG, Hebblewhite M et al. (2014) Status and ecological effects of the world's largest carnivores. Science 343:1241484. doi: 10.1126/science. 1241484 PMID: 24408439
22. Sergio F, Caro T, Brown D, Clucas B, Hunter J, Ketchum J et al. (2008) Top Predators as Conservation Tools: Ecological Rationale, Assumptions, and Efficacy. Annual Review of Ecology, Evolution, and Systematics 39:1-19.
23. Lyra-Jorge MC, Ribeiro MC, Ciocheti G, Tambosi LR, Pivello VR (2010) Influence of multi-scales landscape structure on the occurrence of carnivorous mammals in a human-modified savanna, Brazil. Eur J. Wildlife Res 56:359-368.
24. LaRue M, Nielsen C (2011) Modelling potential habitat for cougars in Midwest North America. Ecological Modelling 222:897-900.
25. Miotto RA, Cervini M, Begotti RA, Galetti PM Jr (2012) Monitoring a Puma (Puma concolor) Population in a Fragmented Landscape in Southeast Brazil. Biotropica 44:98-104.
26. Sollmann R, Furtado MM, Hofer H, Jácomo ATA, Tôrres NM, Silveira L (2012) Using occupancy models to investigate space partitioning between two sympatric large predators, the jaguar and puma in central Brazil. Mammalian Biology 77:41-46.
27. Mazzolli M (2012) Natural recolonization and suburban presence of pumas (Puma concolor) in Brazil. Journal of Ecology and the Natural Environment 4(14):344-361.
28. De Angelo C, Paviolo A, Di Bitetti M (2011) Differential impact of landscape transformation on pumas (Puma concolor) and Jaguars (Panthera onca) in the Upper Paraná Atlantic Forest. Diversity and Distribution 17:422-436.
29. Sweanor LL, Logan KA, Bauer JW, Millsap B, Boyce WM (2008) Puma and human spatial and temporal use of a popular California State Park. J. Wildl. Manage. 72:1076-1084.
30. Castilho CS, Marins-Sá LG, Benedet RC, Freitas TO (2011) Landscape genetics of mountain lions (Puma concolor) in southern Brazil, Mammalian Biology-Zeitschrift für Säugetierkunde 76(4):476-483.
31. Stoner DC, Wolfe ML, Mecham C, Mecham MB, Durham SL, Choate DM (2013) Dispersal behaviour of a polygynous carnivore: do cougars Puma concolor follow source-sink predictions? Wildlife Biology 19(3):289-301.
32. Miotto RA, Cervini M, Kajin M, Begotti RA, Galetti PM Jr (2014) Estimating puma Puma concolor population size in a human-disturbed landscape in Brazil, using DNA mark-recapture data. Oryx 48(2):250-257
33. Ficetola GF, Maiorano L, Falcucci A, Dendoncker N, Boitani L, Padoa-Schioppa E et al. (2010) Knowing the past to predict the future: land-use change and the distribution of invasive bullfrogs. Global Change Biology 16:528-537.
34. Adams-Hosking C, McAlpine C, Rhodes JR, Grantham HS, Moss PT (2012) Modelling changes in the distribution of the critical food resources of a specialist folivore in response to climate change. Diversity and Distributions 18:847-860.
35. Freeman LA, Kleypas JA, Miller AJ (2013) Coral Reef Habitat Response to Climate Change Scenarios. PLoS ONE 8(12):e82404. doi: 10.1371/journal.pone.0082404 PMID: 24340025
36. Lemes P, Loyola RD (2013) Accommodating Species Climate-Forced Dispersal and Uncertainties in Spatial Conservation Planning. PLoS ONE 8(1):e54323. doi: 10.1371/journal.pone.0054323 PMID: 23349850
37. Elith J, Leathwick J (2009) The contribution of species distribution modelling to conservation prioritization. In: Moilanen A, Wilson KA, Possingham HP (Eds) Spatial conservation prioritization quantitative methods and computational tools. Oxford University Press Oxford, Oxford 2009 pp. 70-93
38. IBGE-Instituto Brasileiro de Geografia e Estatística (2013) Nota: Estimativas da população residente com data de referência 1° de julho de 2013. Available: ftp://ftp.ibge.gov.br/Estimativas-de-Populacao/Estimativas-2013/populacoes-estimativas-BR-UF-TCU-31-10-2013.pdf.
39. Ribeiro MC, Metzger JP, Martensen AC, Ponzoni FJ, Hirota MM (2009) Brazilian Atlantic forest: how much is left and how is the remaining forest distributed? Implications for conservation. Biological Conservation 142:1141-1153.
40. Dean W (1995) With Broadax and Firebrand: The Destruction of the Brazilian Atlantic Forest. Berkeley: University of California Press.
41. Rudorff BFT, Aguiar DA, Silva WF, Sugawara LM, Adami M, Moreira MA. (2010) Studies on the Rapid Expansion of Sugarcane for Ethanol Production in São Paulo State (Brazil) Using Landsat Data. Remote Sensing 2(4):1057-1076.
42. Sparovek G, Berndes G, Klug ILF, Barretto A G OP (2010) Brazilian agriculture and environmental legislation: status and future challenges. Environmental Science and Technology 44:6046-6053. doi: 10. 1021/es1007824 PMID: 20704198
43. Dickson BG, Roemer GW, McRae BH, Rundall JM (2013) Models of Regional Habitat Quality and Connectivity for Pumas (Puma concolor) in the Southwestern United States. PLoS ONE 8(12):e81898. doi: 10.1371/journal.pone.0081898 PMID: 24367495
44. Mantovani JE (2001) Telemetria convencional e via satélite na determinação da área de vida de três espécies de carnívoros da região nordeste do Estado de São Paulo. Tese (PhD). Universidade Federal de São Carlos, São Carlos, São Paulo, Brazil, 118 p.
45. Penteado M J F (2012) Área de vida, padrões de deslocamento e seleção de habitat por Pumas (Puma concolor) e Jaguatiricas (Leopardus pardalis), em paisagem fragmentada do Estado de São Paulo. Tese (PhD). Universidade Estadual de Campinas. Instituto de Biologia. 134 p.
46. Paviollo A, Di Blanco YE, De Angelo CD Di Bitetti MS (2009) Protection Affects the Abundance and Activity Patterns of Pumas in the Atlantic Forest. Journal of mammalogy 90:926-934.
47. Mazzolli M (2010) Mosaic of Exotic Forest Plantations and Native Forest as habitat of Pumas. Environmental Management 46:237-253. doi: 10.1007/s00267-010-9528-9 PMID: 20665214
48. SpLink-Species Link network. Eletronic Database: free and open access to data, information, and tools available to any individual or group. Available: www.splink.org.br.
49. Syfert MM, Smith MJ, Coomes DA (2013) The Effects of Sampling Bias and Model Complexity on the Predictive Performance of MaxEnt Species Distribution Models. PLoS One 8(2):e55158. doi: 10. 1371/journal.pone.0055158 PMID: 23457462
50. Clements GR, Rayan DM, Aziz SA, Kawanishi K, Traeholt C, Magintan D, et al. (2012) Predicting the distribution of the Asian tapir in Peninsular Malaysia using maximum entropy modeling. Integrative Zoology 7:400-406. doi: 10.1111/j.1749-4877.2012.00314.x PMID: 23253371
51. Elith J, Kearney M, Phillips S (2010) The art of modelling range-shifting species. Methods in Ecology and Evolution 1:330-342.
52. Beyer HL (2012) Geospatial Modelling Environment (Version 0.7.2.1).-Spatial Ecology, LLC. Available: http://www.spatialecology.com/gme/gmedownload.htm.
53. Maehr DS, Land ED, Shindle DB, Bass OL, Hoctor TS (2002) Florida panther dispersal and conservation. Biological Conservation 106:187-197.
54. R Core Team (2013) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available: www. R-project.org.
55. Booth GD, Niccolucci MJ, Schuster EG (1994) Identifying proxy sets in multiple linear regression: an aid to better coefficient interpretation. Research paper INT-470. United States Department of Agriculture, Forest Service, Ogden, USA.
56. Weber E, Hasenack H, Ferreira, C J S (2004) Adaptação do modelo digital de elevação do SRTM para o sistema de referência oficial brasileiro e recorte por unidade da federação. Porto Alegre, UFRGS Centro de Ecologia. ISBN 978-85-63843-02-9. Available: www.ecologia.ufrgs.br/labgeo.
57. Burdett CL, Croocks KR, Theobald DM, Wilson KR, Boydston EE, Lyren LM et al. (2010) Interfacing models of wildlife habitat and human development to predict the future distribution of puma habitat. Ecosphere 1:4.
58. Martensen AC, Pimentel RG, Metzger JP (2008) Relative effects of fragment size and connectivity on bird community in the Atlantic Rain Forest: implications for conservation. Biological Conservation 141:2184-2192.
59. Metzger JP, Martensen AC, Dixo M, Bernacci LC, Ribeiro MC, Teixeira AMG, Pardini R (2009) Timelag in biological responses to landscape changes in a highly dynamic Atlantic forest region. Biological Conservation 142:1166-1177.
60. Banks-Leite C, Pardini R, Tambosi LR, Pearse WD, Bueno AA, Bruscagin RT, et al. (2014) Using ecological thresholds to evaluate the costs and benefits of set-asides in a biodiversity hotspot. Science, 345, 1041-1045. doi: 10.1126/science.1255768 PMID: 25170150
61. Fahrig L (2002) Effect of habitat fragmentation on the extinction threshold: a synthesis. Ecological Applications 12:346-353.
62. Fahrig L (2003) Effects of habitat fragmentation on biodiversity. Annual Review of Ecology, Evolution, and Systematics 34:487-515.
63. Brazil (2012) Brazilian Forest Code. Federal Law No 12 727 of 17/10/2012. Available: http://www.planalto.gov. br/ccivil-03/-ato2011-2014/2012/lei/L12727.htm
64. Ferraz K M PMB, Siqueira MF, Alexandrino ER, Da Luz DTA, Do Couto H T Z (2012) Environmental suitability of a highly fragmented and heterogeneous landscape for forest bird species in south-eastern Brazil. Environmental Conservation 39:316-324.
65. Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modeling of species geographic distributions. Ecological Modelling 190:231-259.
66. Elith J, Graham CH, Anderson RP, Dudik M, Ferrier S, Guisan A et al. (2006) Novel methods improve prediction of species' distributions from occurrence data. Ecography 29:129-151.
67. Pearson RG, Raxworthy CJ, Nakamura M, Peterson AT (2007) Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar. Journal of Biogeography 34:102-117.
68. Phillips SJ, Dudík M (2008) Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 31:161-175.
69. Phillips SJ, Elith J (2013) On estimating probability of presence from use-availability or presence-background data. Ecology 94:1409-1419. PMID: 23923504
70. Elith J, Leathwick JR (2009) Species Distribution Models: Ecological Explanation and Prediction Across Space and Time. Annual Review of Ecology, Evolution, and Systematics 40:677-697.
71. Elith J, Phillips SJ, Hastie T, Dudik M, Chee YE, Yates CJ (2011) A statistical explanation of MaxEnt for ecologists. Diversity and Distribuitrion 17:43-57.
72. Abade L, Macdonald DW, Dickman AJ (2014) Using Landscape and Bioclimatic Features to Predict the Distribution of Lions, Leopards and Spotted Hyaenas in Tanzania's Ruaha Landscape. PLoS ONE 9(5):e96261. doi: 10.1371/journal.pone.0096261 PMID: 24797792
73. Rodríguez-Soto C, Monroy-Vilchis O, Maiorano L, Boitani L, Faller JC, Briones MA, Núñez R, Rosas-Rosas O, Ceballos G, Falcucci A (2011). Predicting potential distribution of the jaguar (Panthera onca) in Mexico: Identification of priority areas for conservation. Diversity and Distributions 17:350-361.
74. Hernandez-Santin L., Harveson P. M., and Harveson L. A.. 2012. Suitable habitats for cougars (Puma concolor) in Texas and Northern Mexico. Southwestern Naturalist 57:314-318.
75. Pearson RG (2010) Species' Distribution Modeling for Conservation Educators and Practitioners and Practitioners. Synthesis. American Museum of Natural History, Lessons in Conservation 3:54-89. Available: http://ncep. amnh.org/linc
76. Elith J (2000) Quantitative methods for modeling species habitat: comparative performance and an application to Australian plants. In: Quantitative methods for conservation biology, ed. Ferson S. and Burgman M., pp 39-58. Springer, New York.
77. 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 36:01-12.
78. Jenks GF (1967) The data model concept in statistical mapping. International Yearbook of Cartography 7:186-190.
79. MMA-Ministério do Meio Ambiente Brasileiro (2012). Áreas especiais, Unidades de conservação: UCs de Proteção integral (municipais, estaduais e federais). Available: http://mapas.mma.gov. br/i3geo/datadownload.htm.
80. Magioli M, Moreira M, Ferraz KM, Miotto R, Camargo P, Rodrigues M, Setz E, Canhoto M (2014). Stable Isotope Evidence of Puma concolor (Felidae) Feeding Patterns in Agricultural Landscapes in Southeastern Brazil. Biotropica 46:451-460.
81. Dickson BG, Jenness JS, Beier P (2005) Influence of vegetation, topography, and roads on cougar movement in Southern California. Journal of Wildlife Manage 69:264-276.
82. Araújo MB, Whittaker RJ, Ladle R, Erhard M (2005) Validation of species-climate impact models under climate change. Global Ecol Biogeogr 14:529-538.
83. Guisan A, Thuiller W (2005) Predicting species distribution: offering more than simple habitat models. Ecol Letters 8:993-1009.
84. Gould SF, Beeton NJ, Harris RMB, Hutchinson MF, Lechner AM, Porfirio LL et al. (2014). A tool for simulating and communicating uncertainty when modelling species distributions under future climates. Ecology and Evolution 4:4798-4811. doi: 10.1002/ece3.1319 PMID: 25558370
85. McRae BH, Hall SA, Beier P., Theobald DM (2012) Where to Restore Ecological Connectivity? Detecting Barriers and Quantifying Restoration Benefits. PLoS ONE 7(12):e52604. doi: 10.1371/journal. pone.0052604 PMID: 23300719
86. Maron M, Rhodes JR, Gibbons P (2012). Calculating the benefit of conservation actions. Conservation Letters 6:359-367.
87. Whitehead AL, Kujala H, Ives C, Gordon A, Lentini PE, Wintle BA et al. (2014). Integrating Biological and Social Values When Prioritizing Places for Biodiversity Conservation. Conservation Biology, 28:992-1003. doi: 10.1111/cobi.12257 PMID: 24617898
88. Michalski F, Norris D, Peres CA (2010) No return from biodiversity loss. Science: 329:1282-1282.
89. Da Silva FR, Do Prado VHM, Rossa-Feres DC (2011) Value of Small Forest Fragments to Amphibians. Science 332:1033.
90. Brazil (2000) Federal Law No 9 985 of 07/18/2000. Available: http://www.planalto.gov. br/ccivil-03/leis/l9985.htm.
91. Marques EM, Ranieri V E L (2012). Determinantes da decisão de manter áreas protegidas em terras privadas: o caso das reservas legais do estado de São Paulo. Ambiente & Sociedade 15:131-145.
92. São Paulo (2014) Estadual Project Law No 219 of 27/03/2014. Available: http://www.al.sp. gov. br/propositura/?id=1198504.
93. Gontier M, Mörtberg U, Balfors B (2010) Comparing GIS-based habitat models for applications in EIA and SEA. Environmental Impact Assessment Review 30:8-18.
94. Metzger JP, Lewinsohn TM, Joly CA, Verdade LM, Martinelli LA, Rodrigues RR (2010) Brazilian law: full speed in reverse? Science 329:276-277.