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Measuring uncertainty in estimates of biodiversity loss: The example of biodiversity intactness variance

机译:衡量生物多样性丧失估计中的不确定性:生物多样性完整性差异的例子

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Developing adequate indicators of biodiversity change is an urgent task for biodiversity studies and policy. An important component of any indicator is a measure of the uncertainty in the estimates it produces. In this paper, we derive the biodiversity intactness variance (BIV) as a formal measure of uncertainty to accompany the recently developed biodiversity intactness index (BII) (Scholes and Biggs [Scholes, R.J., Biggs, R., 2005. A biodiversity intactness index. Nature 434, 45-49]). The BII is based on estimates of baseline species richness, the area of different land-uses, and the abundance of different species under different land uses. The BIV quantifies uncertainty in the abundance estimates, which are the main source of uncertainty in BII. The BII for southern Africa in the year 2000 has been estimated at 84.4%. We calculate the accompanying BIV at 50.4, providing a 95% confidence interval of 76.6-92.2% for BII. By applying the BIV, we can quantify the major sources of uncertainty in the BII for southern Africa: they stem from the abundance estimates for mammals and birds, and for savanna regions and degraded areas. The BIV therefore provides a means for better assessing the state of biodiversity loss and for highlighting research priorities.
机译:制定适当的生物多样性变化指标是生物多样性研究和政策的紧迫任务。任何指标的重要组成部分是衡量指标产生的不确定性。在本文中,我们导出了生物多样性完整度方差(BIV)作为对不确定性的正式度量,以伴随着最近开发的生物多样性完整度指标(BII)(Scholes和Biggs [Scholes,RJ,Biggs,R.,2005。生物多样性完整度指标(自然434,45-49))。 BII基于基线物种丰富度,不同土地利用的面积以及不同土地利用下不同物种的丰富度的估计。 BIV量化了丰度估计中的不确定性,这是BII中不确定性的主要来源。到2000年,南部非洲的BII估计为84.4%。我们将伴随的BIV计算为50.4,从而为BII提供了76.6-92.2%的95%置信区间。通过应用BIV,我们可以量化南部非洲BII中不确定性的主要来源:它们来自对哺乳动物和鸟类,热带稀树草原和退化地区的丰度估计。因此,BIV提供了一种更好地评估生物多样性丧失状况并突出研究重点的手段。

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