Uncertainty in coarse conservation assessments hinders the efficient achievement of conservation goals
Uncertainty in coarse conservation assessments hinders the efficient achievement of conservation goals
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DOI：
10.1016/j.biocon.2012.01.020
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发表时间：
2012-03-01
影响因子：
5.9
通讯作者：
Kennard, Mark J.
中科院分区：
文献类型：
--
作者：
Hermoso, Virgilio;Kennard, Mark J.
保护规划对许多与规模相关的问题很敏感，例如规划区域的空间范围或规划单元的规模。大量文献报道，在小空间尺度规划或使用大型规划单元时，保护产出的效率会下降。然而，其他关键问题仍然存在，如用于代表保护功能的空间分布的粒度。在这里，我们评估的影响，粒度的物种分布数据与大小的规划单位的一组性能指标描述的效率（代表物种的面积/所需总面积的比率）、佣金错误率（错误地预计会出现的物种），代表性（达到目标的物种比例）和整体保护不确定性的新措施（将委员会的错误和物种出现的实际地点的不确定性结合起来）。我们比较了达利河流域（澳大利亚北方）淡水鱼保护的优先领域。我们的研究表明，粒度的物种分布数据的效果是更重要的比规划单元的大小对保护规划的性能，增加了委员会的错误高达80%和保护的不确定性超过90%，当使用粗糙的数据。这一点在稀有物种中比常见物种更为明显，在稀有物种中，生物多样性模式的粗略表述与物种实际占有面积较小之间的不匹配更为明显。在生物多样性零星分布的异质或受干扰的环境中进行规划时，或在为保护稀有物种进行规划时，应特别注意有限预算分配不当的高风险。(C)2012爱思唯尔有限公司保留所有权利。
Conservation planning is sensitive to a number of scale-related issues, such as the spatial extent of the planning area, or the size of units of planning. An extensive literature has reported a decline in efficiency of conservation outputs when planning at small spatial scales or when using large planning units. However, other key issues remain, such as the grain size used to represent the spatial distribution of conservation features. Here, we evaluate the effect of grain size of species distribution data versus size of planning units on a set of performance measures describing efficiency (ratio of area where species are represented/total area needed), rate of commission errors (species erroneously expected to occur), representativeness (proportion of species achieving the target) and a novel measure of overall conservation uncertainty (integrating commission errors and uncertainty in the actual locations where species occur). We compared priority areas for the conservation of freshwater fish in the Daly River basin (northern Australia). Our study demonstrates that the effect of grain size of species distribution data was more important than planning unit size on conservation planning performance, with an increase in commission errors up to 80% and conservation uncertainty over 90% when coarse data were used. This was more pronounced for rare than common species, where the mismatch between coarse representations of biodiversity patterns and the smaller areas of actual occupancy of species was more evident. Special attention should be paid to the high risk of misallocation of limited budgets when planning in heterogeneous or disturbed environments, where biodiversity is patchily distributed, or when planning for conservation of rare species. (C) 2012 Elsevier Ltd. All rights reserved.