Spatial conservation planning framework for assessing conservation opportunities in the Atlantic Forest of Brazil.
Spatial conservation planning framework for assessing conservation opportunities in the Atlantic Forest of Brazil.
复制标题
用于评估巴西大西洋森林保护机会的空间保护规划框架。
DOI：
10.1016/j.apgeog.2014.06.013
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Gillespie,ThomasW
中科院分区：
文献类型：
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作者：
Giorgi,AnaPaula;Rovzar,Corey;Davis,KelseyS;Fuller,Trevon;Buermann,Wolfgang;Saatchi,Sassan;Smith,ThomasB;Silveira,LuisFabio;Gillespie,ThomasW
栖息地变化的历史速度和对自然资源的不断开发威胁着全球生物多样性热点巴西大西洋森林的鸟类生物多样性。我们实施了大西洋森林保护规划的两阶段框架。首先，我们利用生态位模型，利用 19 种气候指标和 12 种光谱和雷达遥感指标来预测 23 种特有鸟类的分布。其次，我们利用互补原则优先选择新地点，以扩大大西洋森林的现有保护区。鸟类分布的最佳预测指标是降水量指标（降雨的季节性）和雷达遥感指标（QSCAT）。现有保护区不包括 23 种特有物种每一种栖息地的 10%。我们通过减少新地点重复现有保护区生物多样性内容的程度，提出了一套更经济的保护区。我们使用计算机算法设计的拟议保护区与国际鸟盟优先考虑的重要鸟类区域之间存在高度一致性。由于大西洋森林的森林砍伐与其他生物多样性热点地区的土地转变类似，我们的方法适用于世界其他地方的保护工作。
Historic rates of habitat change and growing exploitation of natural resources threaten avian biodiversity in the Brazilian Atlantic Forest, a global biodiversity hotspot. We implemented a twostage framework for conservation planning in the Atlantic Forest. First, we used ecological niche modeling to predict the distributions of 23 endemic bird species using 19 climatic metrics and 12 spectral and radar remote sensing metrics. Second, we utilized the principle of complementarity to prioritize new sites to augment the Atlantic Forest's existing reserves. The best predictors of bird distributions were precipitation metrics (the seasonality of rainfall) and radar remote sensing metrics (QSCAT). The existing protected areas do not include 10% of the habitat of each of the 23 endemic species. We propose a more economical set of protected areas by reducing the extent to which new sites duplicate the biodiversity content of existing protected areas. There is a high concordance between the proposed conservation areas that we designed using computerized algorithms and Important Bird Areas prioritized by BirdLife International. Insofar as deforestation in the Atlantic Forest is similar to land conversion in other biodiversity hotspots, our methodology is applicable to conservation efforts elsewhere in the world.