| P50 | author | Bianca Ingberman | Q58762935 |
| P2093 | author name string | Emygdio Leite de Araujo Monteiro-Filho | |
| | Roberto Fusco-Costa | |
| P2860 | cites work | Biodiversity hotspots for conservation priorities | Q22122401 |
| | River boundaries and species range size in Amazonian primates | Q28244190 |
| | Very high resolution interpolated climate surfaces for global land areas | Q29642135 |
| | The Brazilian Atlantic Forest: How much is left, and how is the remaining forest distributed? Implications for conservation | Q30052052 |
| | Assessing the exposure of lion tamarins (Leontopithecus spp.) to future climate change | Q30717346 |
| | Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data | Q33422416 |
| | Niches and distributional areas: concepts, methods, and assumptions | Q33508736 |
| | The distributional ecology of the maned sloth: environmental influences on its distribution and gaps in knowledge | Q35358793 |
| | Quantification of extinction risk: IUCN's system for classifying threatened species | Q37291377 |
| | Habitat, density and group size of primates in a Brazilian tropical forest. | Q39357477 |
| | Population demography of Northern muriquis (Brachyteles hypoxanthus) at the Estação Biológica de Caratinga/Reserva particular do Patrimônio Natural-Felìciano Miguel Abdala, Minas Gerais, Brazil | Q40363871 |
| | Species co-occurrence patterns and dietary resource competition in primates. | Q47365452 |
| | Ecological niche modelling as a technique for assessing threats and setting conservation priorities for Asian slow lorises (Primates:Nycticebus) | Q56484146 |
| | Methods to account for spatial autocorrelation in the analysis of species distributional data: a review | Q56817176 |
| | The importance of correcting for sampling bias in MaxEnt species distribution models | Q57005690 |
| | Effects of sample size on the performance of species distribution models | Q57014143 |
| | Novel methods improve prediction of species’ distributions from occurrence data | Q57014231 |
| | Predictive habitat distribution models in ecology | Q57014283 |
| | Consequences of spatial autocorrelation for niche-based models | Q57021341 |
| | Modeling species’ geographic distributions for preliminary conservation assessments: an implementation with the spiny pocket mice (Heteromys) of Ecuador | Q57043516 |
| | Modeling a spatially restricted distribution in the Neotropics: How the size of calibration area affects the performance of five presence-only methods | Q57046398 |
| | A statistical explanation of MaxEnt for ecologists | Q57062660 |
| | Selecting pseudo-absence data for presence-only distribution modeling: How far should you stray from what you know? | Q57193887 |
| | The effect of sample size and species characteristics on performance of different species distribution modeling methods | Q57193912 |
| | Assessing Extinction Threats: Toward a Reevaluation of IUCN Threatened Species Categories | Q57379178 |
| | ORIGINAL ARTICLE: Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar | Q58006257 |
| | The consequences of spatial structure for the design and analysis of ecological field surveys | Q58192967 |
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 3 | |
| P407 | language of work or name | English | Q1860 |
| P304 | page(s) | e0150906 | |
| P577 | publication date | 2016-03-04 | |
| P1433 | published in | PLOS One | Q564954 |
| P1476 | title | A Current Perspective on the Historical Geographic Distribution of the Endangered Muriquis (Brachyteles spp.): Implications for Conservation | |
| P478 | volume | 11 | |