High Carbon Stock forests provide co-benefits for tropical biodiversity
High Carbon Stock forests provide co-benefits for tropical biodiversity
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DOI：
10.1111/1365-2664.13023
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发表时间：
2018-03-01
影响因子：
5.7
通讯作者：
Struebig, Matthew J.
中科院分区：
文献类型：
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作者：
Deere, Nicolas J.;Guillera-Arroita, Gurutzeta;Struebig, Matthew J.
1.基于碳的政策为将热带森林保护与减缓气候变化结合起来提供了强有力的机会。然而，它们能否有效地提供生物多样性共同惠益，取决于高碳地区是否存在高水平的生物多样性。以往的研究只集中在与减少毁林和森林退化排放量（REDD+）在大的空间尺度相关的共同利益，很少有经验测试碳生物多样性的相关性在管理单元尺度适合决策者。然而，在生物多样性和碳损失最多的发展前沿地区，基于碳的政策越来越多地受到商品认证计划的推动，这些计划适用于特许权一级。在东南亚一个典型的人类改造景观中，我们研究了通过应用REDD+或高碳储量（HCS）方法优先考虑的土地的生物多样性价值，这是一种新兴的油棕认证土地利用规划工具。通过全球或地方一级生物量的低分辨率和高分辨率数据集估算了碳储存。利用森林和油棕栖息地的相机捕获数据，使用分层贝叶斯多物种占有模型预测哺乳动物物种丰富度.在群落水平上，HCS森林支持的哺乳动物多样性与连续森林中的对照站点相当，而低碳层表现出物种占有率降低.没有发现物种丰富度和碳之间的关联时，后者估计使用粗分辨率数据。然而，当使用高分辨率、经当地验证的生物量数据时，多样性与受威胁和对干扰敏感的物种的碳呈正相关，表明共同效益对碳数据来源和所考虑的物种的敏感性。政策影响。我们的工作证实了环境认证和减少毁林和森林退化排放的潜力，可以与保护一起工作，以减轻农业对热带森林碳储量和生物多样性的影响。这两种方法的成功实施可用于指导热带国家低碳、低生物多样性地区的发展。
1. Carbon-based policies provide powerful opportunities to unite tropical forest conservation with climate change mitigation. However, their effectiveness in delivering biodiversity co-benefits is dependent on high levels of biodiversity being found in high carbon areas. Previous studies have focussed solely on the co-benefits associated with Reducing Emissions from Deforestation and forest Degradation (REDD+) over large spatial scales, with few empirically testing carbon-biodiversity correlations at management unit scales appropriate to decision-makers. Yet, in development frontiers, where most biodiversity and carbon loss occurs, carbon-based policies are increasingly driven by commodity certification schemes, which are applied at the concession level.2. Working in a typical human-modified landscape in Southeast Asia, we examined the biodiversity value of land prioritised via application of REDD+ or the High Carbon Stock (HCS) approach, the emerging land-use planning tool for oil palm certification. Carbon stocks were estimated via low- and high-resolution datasets derived from global or local-level biomass. Mammalian species richness was predicted using hierarchical Bayesian multispecies occupancy models of camera-trap data from forest and oil palm habitats.3. At the community level, HCS forest supported comparable mammal diversity to control sites in continuous forest, while lower carbon strata exhibited reduced species occupancy.4. No association was found between species richness and carbon when the latter was estimated using coarse-resolution data. However, when using high-resolution, locally validated biomass data, diversity demonstrated positive relationships with carbon for threatened and disturbance-sensitive species, suggesting sensitivity of co-benefits to carbon data sources and the species considered.5. Policy implications. Our work confirms the potential for environmental certification and Reducing Emissions from Deforestation and forest Degradation to work in tandem with conservation to mitigate agricultural impacts on tropical forest carbon stocks and biodiversity. Successful implementation of both approaches could be used to direct development to low carbon, low biodiversity areas in tropical countries.