Centre d'Ecologie Fonctionnelle et Evolutive, UMR 5175, CNRS, 1919 route de Mende, 34293 Montpellier cedex 5, France.
J Environ Manage. 2012 Mar;95(1):9-16. doi: 10.1016/j.jenvman.2011.09.018. Epub 2011 Oct 30.
In this study, we developed a multi-criteria assessment of spatial variability of the vulnerability of three different biodiversity descriptors: sites of high conservation interest by virtue of the presence of rare or remarkable species, extensive areas of high ecological integrity, and landscape diversity in grid cells across an entire region. We assessed vulnerability in relation to (a) direct threats in and around sites to a distance of 2 km associated with intensive agriculture, building and road infrastructure and (b) indirect effects of human population density on a wider scale (50 km). The different combinations of biodiversity and threat indicators allowed us to set differential priorities for biodiversity conservation and assess their spatial variation. For example, with this method we identified sites and grid cells which combined high biodiversity with either high threat values or low threat values for the three different biodiversity indicators. In these two classes the priorities for conservation planning will be different, reduce threat values in the former and restrain any increase in the latter. We also identified low priority sites (low biodiversity with either high or low threats). This procedure thus allows for the integration of a spatial ranking of vulnerability into priority setting for regional conservation planning.
在本研究中,我们开发了一种多标准评估方法,用于评估三种不同生物多样性描述符的脆弱性的空间变异性:由于存在稀有或显著物种而具有高保护意义的地点、具有高生态完整性的广泛区域以及整个区域网格单元中的景观多样性。我们评估了脆弱性与以下因素的关系:(a) 与集约农业、建筑和道路基础设施相关的距离 2 公里以内的直接威胁;(b) 人类人口密度在更大范围内的间接影响(50 公里)。不同的生物多样性和威胁指标组合使我们能够为生物多样性保护设定不同的优先级,并评估其空间变化。例如,通过这种方法,我们确定了那些结合了高生物多样性与高威胁值或低威胁值的地点和网格单元,对于这三种不同的生物多样性指标而言。在这两个类别中,保护规划的优先级将有所不同,前者需要降低威胁值,而后者则需要限制任何增加。我们还确定了低优先级地点(生物多样性低,威胁值高或低)。因此,该程序允许将脆弱性的空间排名纳入区域保护规划的优先级设置中。