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L. Cullen, R. Bodmer, C. Padua (2000)
Effects of hunting in habitat fragments of the Atlantic forests, Brazil.Biological Conservation, 95
C. Peres (2001)
Synergistic Effects of Subsistence Hunting and Habitat Fragmentation on Amazonian Forest VertebratesConservation Biology, 15
(2008)
Analysing spatial point patterns in R
Jorge Soberón, A. Peterson (2005)
INTERPRETATION OF MODELS OF FUNDAMENTAL ECOLOGICAL NICHES AND SPECIES' DISTRIBUTIONAL AREASBiodiversity Informatics, 2
(2000)
Mamı́feros
Steven Phillips, Miroslav Dudík (2008)
Modeling of species distributions with Maxent: new extensions and a comprehensive evaluationEcography, 31
Steven Phillips, R. Anderson, R. Schapire (2006)
Maximum entropy modeling of species geographic distributionsEcological Modelling, 190
C. Calenge (2006)
The package “adehabitat” for the R software: A tool for the analysis of space and habitat use by animalsEcological Modelling, 197
Pebesma Pebesma (2004)
Multivariable geostatistics in Sthe gstat package, 30
Simon Hallstan (2011)
Species distribution models
B. Soares-Filho, D. Nepstad, L. Curran, G. Cerqueira, R. Garcia, Claudia Ramos, E. Voll, A. McDonald, P. Lefebvre, P. Schlesinger (2006)
Modelling conservation in the Amazon basinNature, 440
R. Cooney, B. Dickson (2005)
Biodiversity and the precautionary principle : risk and uncertainty in conservation and sustainable use
Ribeiro Ribeiro, Metzger Metzger, Martensen Martensen, Ponzoni Ponzoni, Hirota Hirota (2009)
The Brazilian Atlantic ForestHow much is left, and how is the remaining forest distributed? Implications for conservation, 142
A. Hirzel, V. Helfer, F. Métral (2001)
Assessing habitat-suitability models with a virtual speciesEcological Modelling, 145
Basille Basille, Calenge Calenge, Marboutin Marboutin, Andersen Andersen, Gaillard Gaillard (2008)
Assessing habitat selection using multivariate statisticssome refinements of the ecological-niche factor analysis, 211
W. Laurance, H. Vasconcelos, T. Lovejoy (2000)
Forest loss and fragmentation in the Amazon: implications for wildlife conservationOryx, 34
M. Berman, P. Diggle (1989)
Estimating weighted integrals of the second-order intensity of a spatial point processJournal of the royal statistical society series b-methodological, 51
(2011)
c 2011 The Authors. Animal Conservation c 2011 The Zoological Society of London
A. Baddeley, Rolf Turner (2005)
spatstat: An R Package for Analyzing Spatial Point PatternsJournal of Statistical Software, 12
Navinder Singh, N. Yoccoz, Y. Bhatnagar, J. Fox (2009)
Using habitat suitability models to sample rare species in high-altitude ecosystems: a case study with Tibetan argaliBiodiversity and Conservation, 18
M. Basille, C. Calenge, É. Marboutin, R. Andersen, J. Gaillard (2008)
Assessing habitat selection using multivariate statistics: Some refinements of the ecological-niche factor analysisEcological Modelling, 211
Phillips Phillips, Dudik Dudik (2008)
Modeling of species distributions with Maxentnew extensions and a comprehensive evaluation, 31
F. Michalski, C. Peres (2007)
Disturbance‐Mediated Mammal Persistence and Abundance‐Area Relationships in Amazonian Forest FragmentsConservation Biology, 21
R. Kiltie, J. Terborgh (1983)
Observations on the Behavior of Rain Forest Peccaries in Perú: Why do White‐lipped Peccaries Form Herds?Ethology, 62
A. Desbiez, S. Santos, A. Keuroghlian, R. Bodmer (2009)
Niche Partitioning Among White-Lipped Peccaries (Tayassu pecari), Collared Peccaries (Pecari tajacu), and Feral Pigs (Sus Scrofa), 90
H. Beck (2006)
A REVIEW OF PECCARY–PALM INTERACTIONS AND THEIR ECOLOGICAL RAMIFICATIONS ACROSS THE NEOTROPICS, 87
A. Guisan, N. Zimmermann (2000)
Predictive habitat distribution models in ecologyEcological Modelling, 135
E. Pebesma (2004)
Multivariable geostatistics in S: the gstat packageComput. Geosci., 30
Everaldo Castro, M. Galetti, L. Morellato (2007)
Reproductive phenology of Euterpe edulis (Arecaceae) along a gradient in the Atlantic rainforest of BrazilAustralian Journal of Botany, 55
M. Galetti, H. Giacomini, R. Bueno, C. Bernardo, R. Marques, R. Bovendorp, C. Steffler, Paulo Rubim, S. Gobbo, C. Donatti, R. Begotti, F. Meirelles, R. Nobre, Adriano Chiarello, C. Peres (2009)
Priority areas for the conservation of Atlantic forest large mammalsBiological Conservation, 142
Rosa Chefaoui, J. Lobo (2008)
Assessing the effects of pseudo-absences on predictive distribution model performanceEcological Modelling, 210
(2008)
Tayassu pecari. IUCN 2009. IUCN Red List of Threatened Species. Version
(1959)
Fauna Silvestre DeMéxico
Hirzel Hirzel, Hausser Hausser, Chessel Chessel, Perrin Perrin (2002)
Ecological‐niche factor analysisHow to compute habitat- suitability maps without absence data?, 83
Kiltie Kiltie, Terborgh Terborgh (1983)
Observations on the behavior of rain forest peccaries in Peruwhy do white lipped peccaries form herds?, 62
C. Peres (2002)
GENERAL GUIDELINES FOR STANDARDIZING LINE-TRANSECT SURVEYS OF TROPICAL FOREST PRIMATES
Baddeley Baddeley, Turner Turner (2005)
Spatstatan R package for analyzing spatial point patterns, 12
R. Reyna-Hurtado, Edith Rojas-Flores, G. Tanner (2009)
Home Range and Habitat Preferences of White-Lipped Peccaries (Tayassu pecari) in Calakmul, Campeche, Mexico, 90
G. Costa, C. Nogueira, R. Machado, G. Colli (2010)
Sampling bias and the use of ecological niche modeling in conservation planning: a field evaluation in a biodiversity hotspotBiodiversity and Conservation, 19
B. Cade, B. Noon, C. Flather (2005)
QUANTILE REGRESSION REVEALS HIDDEN BIAS AND UNCERTAINTY IN HABITAT MODELSEcology, 86
M. Silman, J. Terborgh, R. Kiltie (2003)
POPULATION REGULATION OF A DOMINANT RAIN FOREST TREE BY A MAJOR SEED PREDATOREcology, 84
A. Keuroghlian, D. Eaton (2008)
Importance of rare habitats and riparian zones in a tropical forest fragment: preferential use by Tayassu pecari, a wide‐ranging frugivoreJournal of Zoology, 275
C. Peres (1996)
Population status of white-lipped Tayassu pecari and collared peccaries T. tajacu in hunted and unhunted Amazonian forestsBiological Conservation, 77
Calenge Calenge (2006)
The package “adehabitat” for the R softwarea tool for the analysis of space and habitat use by animals, 197
Phillips Phillips (2008)
Transferability, sample selection bias and background data in presence‐only modellinga response to Peterson et al. (2007), 31
A. Hirzel, J. Hausser, D. Chessel, N. Perrin (2002)
ECOLOGICAL-NICHE FACTOR ANALYSIS: HOW TO COMPUTE HABITAT-SUITABILITY MAPS WITHOUT ABSENCE DATA?Ecology, 83
N. Asquith, S. Wright, M. Clauss (1997)
DOES MAMMAL COMMUNITY COMPOSITION CONTROL RECRUITMENT IN NEOTROPICAL FORESTS? EVIDENCE FROM PANAMAEcology, 78
R. Loyola, U. Kubota, G. Fonseca, T. Lewinsohn (2009)
Key Neotropical ecoregions for conservation of terrestrial vertebratesBiodiversity and Conservation, 18
A. Keuroghlian, D. Eaton (2009)
Removal of palm fruits and ecosystem engineering in palm stands by white-lipped peccaries (Tayassu pecari) and other frugivores in an isolated Atlantic Forest fragmentBiodiversity and Conservation, 18
Adriano Chiarello (2000)
Density and Population Size of Mammals in Remnants of Brazilian Atlantic ForestConservation Biology, 14
Workshop: Á reas Continentais Priorit´arias para Conservac¸a˜o e Res-taurac¸a˜o da Biodiversidade no Estado de Sa˜o Paulo
J. Elith, J. Leathwick (2009)
Species Distribution Models: Ecological Explanation and Prediction Across Space and TimeAnnual Review of Ecology, Evolution, and Systematics, 40
Kearney Kearney, Porter Porter (2009)
Mechanistic niche modellingcombining physiological and spatial data to predict species' ranges, 12
G. Chi (2015)
Applied Spatial Data Analysis with RSpatial Demography, 1
J. Elith, Catherine Graham, Robert Anderson, Miroslav Dudı́k, Simon Ferrier, A. Guisan, R. Hijmans, F. Huettmann, J. Leathwick, Anthony Lehmann, Jin Li, Lúcia Lohmann, Bette Loiselle, G. Manion, Craig Moritz, Miguel Nakamura, Yoshinori Nakazawa, J. Overton, A. Peterson, Steven Phillips, Karen Richardson, R. Scachetti-Pereira, R. Schapire, Jorge Soberón, Stephen Williams, M. Wisz, N. Zimmermann (2006)
Novel methods improve prediction of species' distributions from occurrence dataEcography, 29
M. Kearney, W. Porter (2009)
Mechanistic niche modelling: combining physiological and spatial data to predict species' ranges.Ecology letters, 12 4
(2008)
Parque Estadual da Serra do Mar Plano de Manejo
Reyna‐Hurtado Reyna‐Hurtado, Naranjo Naranjo, Chapman Chapman, Tanner Tanner (2010)
Hunting and the conservation of a social ungulatethe white-lipped peccary Tayassu pecari in Calakmul, Mexico, 44
Hengl Hengl, Sierdsemab Sierdsemab, Radovi Radovi, Dilod Dilod (2009)
Spatial prediction of species' distributions from occurrence‐only recordscombining point pattern analysis, ENFA and regression-kriging, 220
T. Hengl (2009)
A Practical Guide to Geostatistical Mapping
V. Bahn, B. McGill (2007)
Can niche-based distribution models outperform spatial interpolation?Global Ecology and Biogeography, 16
VanDerWal VanDerWal, Shooa Shooa, Grahamb Grahamb, Williams Williams (2009)
Selecting pseudo‐absence data for presence‐only distribution modelinghowfar should you stray from what you know?, 220
Lei Wang, Hongxing Liu (2006)
An efficient method for identifying and filling surface depressions in digital elevation models for hydrologic analysis and modellingInternational Journal of Geographical Information Science, 20
J. Lobo (2008)
More complex distribution models or more representative dataBiodiversity Informatics, 5
Keuroghlian Keuroghlian, Eaton Eaton (2008)
Importance of rare habitats and riparian zones in a tropical forest fragmentpreferential use by Tayassu pecari, a wide-ranging frugivore, 275
L. Morellato, C. Haddad (2000)
Introduction: The Brazilian Atlantic Forest 1Biotropica, 32
(1998)
Plano de Manejo Das Unidades de Conservaç a˜o: Parque Estadual da Serra do Mar-Nu´cleo Santa Virg´ınia
R. Reyna-Hurtado, E. Naranjo, C. Chapman, G. Tanner (2010)
Hunting and the conservation of a social ungulate: the white-lipped peccary Tayassu pecari in Calakmul, MexicoOryx, 44
J. Metzger (2009)
Conservation issues in the Brazilian Atlantic forestBiological Conservation, 142
A. Hirzel, A. Guisan (2002)
Which is the optimal sampling strategy for habitat suitability modellingEcological Modelling, 157
S. Carroll, D. Pearson (2000)
Detecting and Modeling Spatial and Temporal Dependence in Conservation BiologyConservation Biology, 14
Clive Jones, J. Lawton, M. Shachak (1994)
Organisms as ecosystem engineersOikos, 69
J. Fragoso (1998)
Home Range and Movement Patterns of White‐lipped Peccary (Tayassu pecari) Herds in the Northern Brazilian Amazon 1Biotropica, 30
T. Hengl, H. Sierdsema, A. Radović, Arta Dilo (2009)
Spatial prediction of species’ distributions from occurrence-only records: combining point pattern analysis, ENFA and regression-krigingEcological Modelling, 220
Laurance Laurance, Vasconcelos Vasconcelos, Lovejoy Lovejoy (2000)
Forest loss and fragmentation in the Amazonimplications for wildlife conservation, 34
A. Keuroghlian, D. Eaton, W. Longland (2004)
Area use by white-lipped and collared peccaries (Tayassu pecari and Tayassu tajacu) in a tropical forest fragmentBiological Conservation, 120
Steven Phillips (2008)
Transferability, sample selection bias and background data in presence‐only modelling: a response to Peterson et al. (2007)Ecography, 31
Asaf Tsoar, Omri Allouche, O. Steinitz, Dotan Rotem, R. Kadmon (2007)
A comparative evaluation of presence‐only methods for modelling species distributionDiversity and Distributions, 13
Vit´oria: Instituto de Pesquisas da Mata Atlaˆntica
A. Rodrigues, J. Pilgrim, John Lamoreux, M. Hoffmann, T. Brooks (2006)
The value of the IUCN Red List for conservation.Trends in ecology & evolution, 21 2
M. Ribeiro, J. Metzger, A. Martensen, F. Ponzoni, M. Hirota (2009)
The Brazilian Atlantic Forest: How much is left, and how is the remaining forest distributed? Implications for conservationBiological Conservation, 142
M. Burgman, D. Lindenmayer, J. Elith (2005)
MANAGING LANDSCAPES FOR CONSERVATION UNDER UNCERTAINTYEcology, 86
Costa Costa, Nogueira Nogueira, Machado Machado, Colli Colli (2010)
Sampling bias and the use of ecological niche modelling in conservation planninga field evaluation in a biodiversity hotspot, 19
J. VanDerWal, L. Shoo, C. Graham, S. Williams (2009)
Selecting pseudo-absence data for presence-only distribution modeling: How far should you stray from what you know?Ecological Modelling, 220
Singh Singh, Yoccoz Yoccoz, Bhatnagar Bhatnagar, Fox Fox (2009)
Using habitat suitability models to sample rare species in high‐altitude ecosystemsa case study with Tibetan argali, 18
(2007)
Os mam´ıferos ameac¸ados de extinc¸a˜o no Estado do Esp´ırito Santo
In a world with poor biological inventorying and rapid land‐use change, predicting the spatial distribution of species is fundamental for the effective management and conservation of threatened taxa. However, on a regional scale, predicting the distribution of rare terrestrial mammals is often unreliable and/or impractical, especially in tropical forests. We apply a recently developed analytic process that integrates density estimation (kernel smoothing), niche‐analysis and geostatistics (regression‐kriging) to model the occupancy and density distribution of a threatened population of white‐lipped peccaries Tayassu pecari in a Brazilian Atlantic forest. Locations (n=45) within a protected area of the Serra‐do‐Mar state park were obtained from diurnal line transect census (233 km), camera‐trapping (751 camera‐trap days) and surveys (>626 km) conducted by park rangers. Niche modelling (environmental niche‐factor analysis and MAXENT) revealed a restricted niche compared with the available habitat as defined by seven environmental variables. From the occupancy model obtained from regression‐kriging, we found that 72% of a 170 km2 protected area is likely to be used by peccaries. We demonstrate that the distribution of large mammals can be restricted within continuous areas of Atlantic forest and therefore population estimates based on the size of protected areas can be overestimated. Our findings suggest that the generation of realized density distributions should become the norm rather than the exception to enable conservation managers and researchers to extrapolate abundance and density estimates across continuous habitats and protected areas.
Animal Conservation – Wiley
Published: Oct 1, 2011
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