Developing a next-generation biodiversity indicator to provide improved estimates of trends in wildlife abundance.

全球生物多样性正在下降（IPBES，2020）。了解野生动物种群如何应对气候变化、土地利用变化和其他威胁，对于生物多样性丧失的“弯曲曲线”至关重要（Mace等人，2020年）。地球生命力指数是一个全球数据集，包含超过4400种脊椎动物的28，000种种群趋势，为生物多样性评估提供了独特的工具。它已在国家和国际上用于评估爱知目标、政府间科学政策平台和2020年后框架等生物多样性目标的进展情况，并为《地球生命力报告》提供信息，该报告是世界自然基金会两年期旗舰报告，估计覆盖人数超过1亿人。该项目提供了一个独特的机会，以改善一个有影响力和广泛使用的全球生物多样性指标。它将开发一个“地球生命力指数2.0”，这是一个使用最先进的统计模型的全球野生动物丰度趋势的下一代指标。该项目包括四个目标：1）量化并尽量减少地球生命指数数据库中数据缺口造成的偏差，以便在数据覆盖率较低的地区为政策提供最佳信息。（包括气候和土地利用变化）和野生动物种群趋势。3）确定极端的种群变化（非常快速的增加或下降），以合理vs不切实际为特征（例如，对于物种的生活史来说变化太快），4）为地球生命力指数2.0构建一个易于使用和访问的仪表板，将目标1- 3，并直接通知政策制定者和优先保护行动。

Global biodiversity is in decline (IPBES, 2020). Understanding how wildlife populations respond to anthropogenically induced climate-change, land-use change and other threats is critical to 'bend-the-curve' of biodiversity loss (Mace et al, 2020). The Living Planet Index is a global dataset of 28,000 population trends of over 4400 vertebrate species that offers a unique tool for biodiversity assessment. It has been used nationally and internationally to assess progress towards biodiversity goals such as the Aichi targets, IPBES and post-2020 framework, and informs the Living Planet Report, WWF's biennial flagship report with an estimated reach of >100 million people. This project offers a unique opportunity to improve an impactful and widely-used global biodiversity indicator. It will develop a 'Living Planet Index 2.0', a next-generation indicator of trends in global wildlife abundance that uses state-of-the-art statistical modelling. The project includes four goals:1) Quantify and minimize biases caused by data gaps in the Living Planet Index database to best inform policy in locations with sparse data coverage.2) Characterize key regional and global drivers of biodiversity change by jointly modelling threat data (including climate and land use changes) and wildlife population trends.3) Identify extreme population changes (very rapid increases or declines) characterized as plausible vs unrealistic (eg, changes too rapid for the species' life history), and develop methods to reduce sensitivity of aggregated index assessments to such extremes.4) Build an easy-to-use and accessible dashboard for Living Planet Index 2.0 that combines improvements from goals 1-3 and directly informs policy-makers and prioritises conservation actions.