作者: Samantha L.L. Hill , Mike Harfoot , Andy Purvis , Drew W. Purves , Ben Collen
DOI: 10.1111/CONL.12291
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摘要: Many metrics can be used to capture trends in biodiversity and, turn, these inform indicators. Sampling biases, genuine differences between metrics, or both, often cause indicators appear conflict. This lack of congruence confuses policy makers and the general public, hindering effective responses crisis. We show how different seemingly inconsistent can, fact, emerge from same scenario change. develop a simple, evidence-based narrative change implement it simulation model. The model demonstrates how, for example, species richness remain stable given landscape, whereas other measures (e.g. compositional similarity) sharp decline. suggest that linking simple will support more robust indicator development, enable stronger predictions change, provide policy-relevant advice at range scales.