2015
DOI: 10.1111/gcb.12814
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Anticipated climate and land‐cover changes reveal refuge areas for Borneo's orang‐utans

Abstract: Habitat loss and climate change pose a double jeopardy for many threatened taxa, making the identification of optimal habitat for the future a conservation priority. Using a case study of the endangered Bornean orang-utan, we identify environmental refuges by integrating bioclimatic models with projected deforestation and oil-palm agriculture suitability from the 1950s to 2080s. We coupled a maximum entropy algorithm with information on habitat needs to predict suitable habitat for the present day and 1950s. W… Show more

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Cited by 86 publications
(75 citation statements)
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References 74 publications
(132 reference statements)
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“…Interactions between climate change and other extinction drivers also need to be considered. For instance, projections of land-cover change show that the Bornean orangutan might lose 15 to 30% of its habitat by 2080, mainly due to deforestation and oil palm agriculture, but when coupled with climate change, even more habitat is likely to become unsuitable ( 80 ). Additionally, more frequent and severe climate change can induce floods, droughts, fires, hurricanes, and El Niño–Southern Oscillation events ( 81 ) that can affect the food supply available to primate populations, with negative impacts on health, fertility, and mortality ( 82 ).…”
Section: Factors That Threaten Primate Populationsmentioning
confidence: 99%
See 1 more Smart Citation
“…Interactions between climate change and other extinction drivers also need to be considered. For instance, projections of land-cover change show that the Bornean orangutan might lose 15 to 30% of its habitat by 2080, mainly due to deforestation and oil palm agriculture, but when coupled with climate change, even more habitat is likely to become unsuitable ( 80 ). Additionally, more frequent and severe climate change can induce floods, droughts, fires, hurricanes, and El Niño–Southern Oscillation events ( 81 ) that can affect the food supply available to primate populations, with negative impacts on health, fertility, and mortality ( 82 ).…”
Section: Factors That Threaten Primate Populationsmentioning
confidence: 99%
“…It includes taking advantage of global telecommunication systems and wireless Internet, satellite- and airborne-based imagery, drone technology, ever more powerful handheld devices (for example, smart phones and tablets), and camera traps (Supplementary Text) ( 120 , 128 ). Combined with geographic information system and ground surveys, some of this technology has been used in evaluating sustainable land-use spatial planning and human-primate conflicts [for example, Javan gibbons ( Hylobates moloch )] ( 129 ) and in providing case-by-case assessments of species vulnerability to climate change, as shown for Borneo’s orangutans (Supplementary Text) ( 80 ). These same technologies can also be used by local citizen scientists for species and habitat monitoring, thus enhancing the effectiveness of mitigation measures ( 128 ).…”
Section: Addressing Conservation Needsmentioning
confidence: 99%
“…The main threats to the orangutan survival are habitat loss, habitat degradation, forest fires, habitat fragmentation, illegal hunting, lack of awareness, and climate change (Meijaard et al 2001; . Ancrenaz et al 2016) Based on spatial models, Struebig et al (2015) predicted many of orangutan habitat is no longer suitable in the future because of climate change. The number of bornean orangutan population is not precisely known.…”
Section: Introductionmentioning
confidence: 99%
“…For our analysis, we used a habitat suitability map with strict treatment of possible omission errors (i.e. 25%), reflecting the core habitat inside the known geographical range of the species (Struebig et al, 2015a). We calculated habitat loss for each mammal by masking its habitat suitability map onto the oil-palm plantation map (Gaveau et al, in review).…”
Section: The Loss Of Mammal Habitat By Oil-palm Plantationsmentioning
confidence: 99%
“…As such, we assumed that restoration would fully recover the degraded areas to their pre-1950 condition. Historically suitable habitat was spatially modelled using the MaxEnt algorithm (Phillips and Dudík, 2008) and bioclimatic variables as predictors (Struebig et al, 2015b), and was then corrected with historical land cover (Struebig et al, 2015a). We employed a strict commission error threshold of 25% to assign habitat suitability of restored site into binary category.…”
Section: The Benefit On the Re-creation Of Mammal Habitatmentioning
confidence: 99%