McRae Louise, Deinet Stefanie, Freeman Robin
Indicators and Assessments Research Unit, Institute of Zoology, Zoological Society of London, United Kingdom.
PLoS One. 2017 Jan 3;12(1):e0169156. doi: 10.1371/journal.pone.0169156. eCollection 2017.
As threats to species continue to increase, precise and unbiased measures of the impact these pressures are having on global biodiversity are urgently needed. Some existing indicators of the status and trends of biodiversity largely rely on publicly available data from the scientific and grey literature, and are therefore prone to biases introduced through over-representation of well-studied groups and regions in monitoring schemes. This can give misleading estimates of biodiversity trends. Here, we report on an approach to tackle taxonomic and geographic bias in one such indicator (Living Planet Index) by accounting for the estimated number of species within biogeographical realms, and the relative diversity of species within them. Based on a proportionally weighted index, we estimate a global population decline in vertebrate species between 1970 and 2012 of 58% rather than 20% from an index with no proportional weighting. From this data set, comprising 14,152 populations of 3,706 species from 3,095 data sources, we also find that freshwater populations have declined by 81%, marine populations by 36%, and terrestrial populations by 38% when using proportional weighting (compared to trends of -46%, +12% and +15% respectively). These results not only show starker declines than previously estimated, but suggests that those species for which there is poorer data coverage may be declining more rapidly.
随着物种面临的威胁持续增加,迫切需要对这些压力对全球生物多样性造成的影响进行精确且无偏差的衡量。一些现有的生物多样性现状和趋势指标在很大程度上依赖于科学文献和灰色文献中的公开数据,因此容易受到监测计划中研究充分的类群和区域过度代表所引入的偏差影响。这可能会给出关于生物多样性趋势的误导性估计。在此,我们报告一种方法,通过考虑生物地理区域内估计的物种数量及其内部物种的相对多样性,来解决此类指标(《地球生命力指数》)中的分类学和地理偏差问题。基于比例加权指数,我们估计1970年至2012年间脊椎动物物种的全球种群数量下降了58%,而非未进行比例加权的指数所显示的20%。从这个包含来自3095个数据源的3706个物种的14152个种群的数据集来看,我们还发现,使用比例加权时,淡水种群下降了81%,海洋种群下降了36%,陆地种群下降了38%(相比之下,之前的趋势分别为-46%、+12%和+15%)。这些结果不仅显示出比之前估计更为显著的下降,还表明那些数据覆盖较差的物种可能下降得更快。