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Felids, forest and farmland: identifying high priority conservation areas in Sumatra
Landscape Ecology ( IF 4.0 ) Pub Date : 2020-10-26 , DOI: 10.1007/s10980-020-01146-x
Iding Achmad Haidir , Żaneta Kaszta , Lara L. Sousa , Muhammad I. Lubis , David W. Macdonald , Matthew Linkie

Effective planning for protected areas and wildlife population management requires a firm understanding of the location of the species’ core habitat patches, the dispersal corridors connecting them, and the risk they face from key threats, notably deforestation. To quantify and map core habitat patches and dispersal corridors for Sunda clouded leopard (Neofelis diardi diardi), Asiatic golden cat (Catopuma temminckii) and marbled cat (Pardofelis marmorata) across the 16,000 km2 tropical rainforest Kerinci Seblat landscape, Sumatra. Also, to model future forest loss and fragmentation and its effect on landscape connectivity for populations of these threatened species. Using data from camera trap (671 sites/55,856 trap nights), and occupancy modelling, we developed habitat use maps and converted these into species-specific landscape resistance layers. We applied cumulative resistant kernels to map core areas and we used factorial least-cost paths to define dispersal corridors. A 17-year deforestation dataset was used to predict deforestation risk towards the integrity of corridors and core areas. The occupancy estimates of the three cats were similar (0.18–0.29), with preference shown for habitats with dense tree cover, medium elevation and low human disturbance. The overlap between core areas and corridors across the three species was moderate, 7–11% and 10%, respectively. We predicted future loss of 1052 km2 of forest in the landscape, of which 2–4% and 5% in highly importance core areas and corridors. This study provides a valuable guidance for identifying priority areas in need of urgent protection within and outside the protected area network, and where infrastructure development planning can incorporate wildlife conservation goals.

中文翻译:

猫科动物、森林和农田:确定苏门答腊的高度优先保护区

保护区和野生动物种群管理的有效规划需要对物种核心栖息地斑块的位置、连接它们的散布走廊以及它们面临的主要威胁(尤其是森林砍伐)的风险有深刻的了解。在苏门答腊 16,000 平方公里的热带雨林 Kerinci Seblat 景观中量化和绘制巽他云豹 (Neofelis diardi diardi)、亚洲金猫 (Catopuma temminckii) 和大理石猫 (Pardofelis marmorata) 的核心栖息地斑块和散布走廊。此外,模拟未来的森林损失和破碎化及其对这些受威胁物种种群的景观连通性的影响。使用来自相机陷阱(671 个站点/55,856 个陷阱之夜)的数据和占用模型,我们开发了栖息地使用地图并将其转换为特定物种的景观阻力层。我们应用累积抗性内核来绘制核心区域,并使用阶乘最小成本路径来定义扩散走廊。一个 17 年的森林砍伐数据集用于预测对走廊和核心区域完整性的森林砍伐风险。三只猫的入住率估计值相似(0.18-0.29),偏爱树木茂密、海拔中等和人为干扰低的栖息地。三个物种的核心区和走廊之间的重叠程度适中,分别为 7-11% 和 10%。我们预测景观中未来 1052 平方公里的森林将消失,其中 2-4% 和 5% 在高度重要的核心区域和走廊。本研究为确定保护区网络内外需要紧急保护的优先区域提供了宝贵的指导,
更新日期:2020-10-26
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