Reconciling Biodiversity Indicators to Guide Understanding and Action
Reconciling Biodiversity Indicators to Guide Understanding and Action
复制标题
DOI：
10.1111/conl.12291
复制
发表时间：
2016-11-01
影响因子：
8.5
通讯作者：
Mace, Georgina M.
中科院分区：
文献类型：
--
作者：
Hill, Samantha L. L.;Harfoot, Mike;Mace, Georgina M.
许多指标可用于捕捉生物多样性的趋势，反过来，这些指标为生物多样性指标提供信息。抽样偏差、指标之间的真正差异或两者兼而有之，往往会导致指标看起来相互冲突。这种不一致性使决策者和公众感到困惑，阻碍了对生物多样性危机的有效应对。我们展示了不同的和看似不一致的生物多样性指标，事实上，从生物多样性变化的相同场景中出现。我们开发了一个简单的，基于证据的生物多样性变化的叙述，并在模拟模型中实现它。例如，该模型演示了物种丰富度如何在给定的景观中保持稳定，而其他措施（例如成分相似性）可能会急剧下降。我们认为，在一个简单的模型中连接生物多样性指标将支持更强大的指标开发，使生物多样性变化的预测更强大，并在一系列尺度上提供政策相关的建议。
Many metrics can be used to capture trends in biodiversity and, in turn, these metrics inform biodiversity indicators. Sampling biases, genuine differences between metrics, or both, can often cause indicators to appear to be in conflict. This lack of congruence confuses policy makers and the general public, hindering effective responses to the biodiversity crisis. We show how different and seemingly inconsistent metrics of biodiversity can, in fact, emerge from the same scenario of biodiversity change. We develop a simple, evidence-based narrative of biodiversity change and implement it in a simulation model. The model demonstrates how, for example, species richness can remain stable in a given landscape, whereas other measures (e.g. compositional similarity) can be in sharp decline. We suggest that linking biodiversity metrics in a simple model will support more robust indicator development, enable stronger predictions of biodiversity change, and provide policy-relevant advice at a range of scales.