SYSU-Alberta Joint Lab for Biodiversity Conservation, State Key Laboratory of Biocontrol and School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China.
Ecology. 2012 May;93(5):974-80. doi: 10.1890/11-1786.1.
Underpinning the International Union for Conservation of Nature (IUCN) Red List is the assessment of extinction risk as determined by the size and degree of loss of populations. The IUCN system lists a species as Critically Endangered, Endangered, or Vulnerable if its population size declines 80%, 50%, or 30% within a given time frame. However, effective implementation of the system faces substantial challenges and uncertainty because geographic scale data on population size and long-term dynamics are scarce. I develop a model to quantify extinction risk using a measure based on a species' distribution, a much more readily obtained quantity. The model calculates the loss of the area of occupancy that is equivalent to the loss of a given proportion of a population. It is a very simple yet general model that has no free parameters and is independent of scale. The model predicted well the distributions of 302 tree species at a local scale and the distributions of 348 species of North American land birds. This area-based model provides a solution to the long-standing problem for IUCN assessments of lack of data on population sizes, and thus it will contribute to facilitating the quantification of extinction risk worldwide.
国际自然保护联盟(IUCN)红色名录的基础是根据种群数量和减少程度评估的灭绝风险。如果一个物种的种群数量在给定的时间框架内下降 80%、50%或 30%,IUCN 系统将其列为极危、濒危或易危。然而,由于缺乏关于种群规模和长期动态的地理尺度数据,该系统的有效实施面临着重大挑战和不确定性。我开发了一种使用基于物种分布的度量来量化灭绝风险的模型,这是一种更容易获得的数量。该模型计算相当于给定比例的种群损失的栖息地面积损失。这是一个非常简单但通用的模型,没有自由参数,与尺度无关。该模型很好地预测了 302 种树木物种在局部尺度上的分布以及 348 种北美的陆地鸟类的分布。这种基于面积的模型为 IUCN 评估缺乏种群规模数据的问题提供了一个解决方案,因此将有助于促进全球范围内灭绝风险的量化。