A perspective on biodiversity data and applications for spatio-temporally robust spatial planning for area-based conservation
A perspective on biodiversity data and applications for spatio-temporally robust spatial planning for area-based conservation
复制标题
生物多样性数据及其在区域保护时空稳健空间规划中的应用前景
DOI：
10.1007/s43621-022-00116-4
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发表时间：
2023
影响因子：
2.6
通讯作者：
Nao Takashina and Buntarou Kusumoto
中科院分区：
文献类型：
--
作者：
Nao Takashina and Buntarou Kusumoto
越来越多的高分辨率生物多样性数据正在增强我们更有效地实施生物多样性保护的能力。空间规划已广泛利用这种精细的生物多样性数据，关于组织精细的保护区网络的提议也在增加。然而，天真地采用这种精细规模的数据进行保护不仅可能降低数据的效用，甚至可能降低保护工作的长期功效。这是由于在短期内保护行动的有效性和其长期持久性之间的内在权衡，其特点是与所使用的数据的分辨率相关的空间规划的管理规模。为了证明这一论点，时空生态系统动力学必须进行描述，但这样的讨论是有限的文献。在这里，我们讨论了与天真的使用精细规模的生物多样性数据，以建立微调的空间规划的潜在问题。然后，我们强调的重要性，匹配的数据分辨率与适当的规模的空间规划，实现了通过转换的数据分辨率。这种方法很容易适用于广泛使用的空间规划决策支持工具。一个简单的工作例子，以证明其效用与长期的保护效果的空间规划。在最近生物数据爆炸的指导下，我们的讨论为最大限度地利用这些数据并进一步改善生物多样性保护的方法提供了新的见解。
The growing availability of high-resolution biodiversity data is enhancing our ability to implement biodiversity conservation more effectively. Spatial planning has widely utilized such fine-scale biodiversity data, and proposals of finely-organized protected area networks have been increasing. However, a naive adoption of such fine-scale data for conservation may not only degrade the utility of the data, but may even risk reduction of long-term efficacy of conservation efforts. This is due to inherent tradeoffs between the efficacy of conservation actions over short-term and its persistence over long-term that is characterized by the management scale of spatial planning associated with the resolution of the data used. To demonstrate this argument, the spatiotemporal ecosystem dynamics must be described, but such discussions are limited in the literature. Here, we discuss the potential issues associated with naive uses of fine-scale biodiversity data to establish fine-tuned spatial planning. We then emphasize the importance of matching the data resolution with an appropriate scale of spatial planning that is realized by transforming the data resolution. This method is readily applicable for widely used decision-support tools for spatial planning. A simple worked example is provided to demonstrate its utility with a long-term conservation efficacy in spatial planning. Guided by the recent explosion of biological data, our discussion provides new insights into the ways to maximize the utility of these data, and further improve biodiversity conservation.
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