Tiger Habitat Quality Modelling in Malaysia with Sentinel-2 and InVEST
Tiger Habitat Quality Modelling in Malaysia with Sentinel-2 and InVEST
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DOI：
10.3390/rs16020284
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发表时间：
2024-01
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影响因子：
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通讯作者：
V. Louis;Susan E. Page;Kevin Tansey;Laurence Jones;Konstantina Bika;H. Balzter
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作者：
V. Louis;Susan E. Page;Kevin Tansey;Laurence Jones;Konstantina Bika;H. Balzter
砍伐森林对生境质量和生物多样性构成威胁。在完整的森林中，即使是小规模的砍伐也会对脊椎动物的生物多样性产生深远的影响。风险热点是婆罗洲、亚马逊河中部和刚果盆地。地球观测（EO）现在提供来自哥白尼哨兵任务和其他平台的定期高分辨率卫星图像。为了评估森林转换和森林损失对生物多样性和栖息地质量的影响，在马来西亚老虎保护景观的森林损失进行了分析，使用哨兵-2图像和InVEST栖息地质量模型。森林损失确定从卫星使用随机森林分类和验证与PlanetScope图像在3-5米分辨率的测试区。两种情况下模拟使用InVEST，一个和一个没有森林损失地图。InVEST模型的输出是马来西亚半岛东北部老虎栖息地质量和栖息地退化的地图。除了森林损失，OpenStreetMap道路矢量和GLC 2000土地覆盖图被用来模拟栖息地对公路、铁路、水体和城市地区威胁的敏感性。当森林丧失纳入栖息地质量模型时，树木覆盖土地覆盖的景观生物多样性评分模拟结果从~0.8急剧下降到~0.2。InVEST做出了一个合理的假设，即原始热带森林的物种丰富度高于农业景观。景观生物多样性得分用于比较行政区域之间的栖息地质量。这里介绍的EO/InVEST耦合建模框架可以支持决策者实现昆明-蒙特利尔全球生物多样性框架的目标。森林损失信息对于量化热带森林生境质量和生物多样性至关重要。下一代生态系统服务模型应与EO产品共同开发，以确保互操作性。
Deforestation is a threat to habitat quality and biodiversity. In intact forests, even small levels of deforestation can have profound consequences for vertebrate biodiversity. The risk hotspots are Borneo, the Central Amazon, and the Congo Basin. Earth observation (EO) now provides regular, high-resolution satellite images from the Copernicus Sentinel missions and other platforms. To assess the impact of forest conversion and forest loss on biodiversity and habitat quality, forest loss in a tiger conservation landscape in Malaysia is analysed using Sentinel-2 imagery and the InVEST habitat quality model. Forest losses are identified from satellites using the random forest classification and validated with PlanetScope imagery at 3–5 m resolution for a test area. Two scenarios are simulated using InVEST, one with and one without the forest loss maps. The outputs of the InVEST model are maps of tiger habitat quality and habitat degradation in northeast Peninsular Malaysia. In addition to forest loss, OpenStreetMap road vectors and the GLC2000 land-cover map are used to model habitat sensitivity to threats from roads, railways, water bodies, and urban areas. The landscape biodiversity score simulation results fall sharply from ~0.8 to ~0.2 for tree-covered land cover when forest loss is included in the habitat quality model. InVEST makes a reasonable assumption that species richness is higher in pristine tropical forests than in agricultural landscapes. The landscape biodiversity score is used to compare habitat quality between administrative areas. The coupled EO/InVEST modelling framework presented here can support decision makers in reaching the targets of the Kunming-Montreal Global Biodiversity Framework. Forest loss information is essential for the quantification of habitat quality and biodiversity in tropical forests. Next generation ecosystem service models should be co-developed alongside EO products to ensure interoperability.