Department of Renewable Resources, University of Alberta, Edmonton, Alberta, Canada.
Glob Chang Biol. 2018 Dec;24(12):5802-5814. doi: 10.1111/gcb.14452. Epub 2018 Oct 9.
Under many global-change scenarios, small habitat patches are the most vulnerable to destruction. For example, smaller ponds are at greater risk in a drying climate and their loss would remove any obligate aquatic individuals present. We asked what proportional loss of species diversity from metacommunities comprised of discrete habitat patches should be expected from attrition (complete loss) of only the smallest patches under such a premise. We analyzed 175 published datasets for different taxonomic groups (vertebrates, invertebrates, and plants) and habitat types (islands, habitat islands, and fragments). We simulated the destruction of only the smallest patches to an approximate 20% of total area (range: 15.2%-24.2%) and analyzed species loss. Mean [± 95% CI] species loss was 12.7% [10.8, 14.6], although 18.3% of datasets lost no species. Four broad patterns of species loss were evident, reflecting underlying differences in minimum area requirements and the degree of species turnover among patches. Regression modeling showed species loss increased with greater species turnover among patches (β ) and decreased with greater area scaling of diversity (i.e., larger power-law island species-area relationship exponents). Losses also increased with greater numbers of single-patch endemics and with increasing proportions of patches destroyed. After accounting for these predictors, neither taxonomic group nor habitat type increased explained variation in species loss. Attrition of the smallest patches removed species in >80% of metacommunities, despite all larger patches and >75% of total area remaining intact. At both 10% and 20% area reduction, median species loss across all datasets was around 50% higher than predicted from methods based on the species-area relationship. We conclude that any mechanism of global change that selectively destroys small habitat patches will lead to imminent extinctions in most discrete metacommunities.
在许多全球变化情景下,小的栖息地斑块最容易受到破坏。例如,在气候干燥的情况下,较小的池塘面临更大的风险,其消失将使所有依赖水生环境的物种灭绝。我们想知道,如果根据这一前提,只损失最小的斑块,离散栖息地斑块组成的复合种群中物种多样性的比例损失应该是多少。我们分析了 175 个不同分类群(脊椎动物、无脊椎动物和植物)和栖息地类型(岛屿、栖息地岛屿和片段)的已发表数据集。我们模拟只破坏最小的斑块,大约占总面积的 20%(范围:15.2%-24.2%),并分析物种损失。平均(±95%置信区间)物种损失为 12.7%(10.8, 14.6),尽管 18.3%的数据集没有物种损失。明显存在四种广泛的物种损失模式,反映了最小面积要求和斑块间物种周转率的差异。回归模型表明,物种损失随斑块间物种周转率的增加而增加(β),随多样性的面积比例(即较大的幂律岛屿物种面积关系指数)的减少而减少。损失还随单一斑块特有种数量的增加和破坏斑块比例的增加而增加。在考虑到这些预测因子后,分类群或栖息地类型都不能增加物种损失的解释变异。尽管所有较大的斑块和超过 75%的总面积仍然完好无损,但最小斑块的消耗使超过 80%的复合种群中的物种灭绝。在面积减少 10%和 20%的情况下,所有数据集的中位数物种损失都比基于物种面积关系的方法预测的高出约 50%。我们的结论是,任何选择性地破坏小栖息地斑块的全球变化机制都会导致大多数离散复合种群中物种的灭绝。