遇见数据集

Climate Flow

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ArcGIS Hub2026-04-20 更新2026-07-28 收录
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Resilience concerns the ability of a living system to adjust to climate change, moderate potential damages, take advantage of opportunities, or cope with consequences; in short, the capacity to adapt. The Nature Conservancy’s resilience analysis develops an approach to conserve biological diversity while allowing species and communities to rearrange in response to a continually changing climate. See more at: http://nature.org/climateresilience. In the Resilient and Connected Network analysis, sites and linkages between them identified by the combination of resilience, flow, and biodiversity were integrated into a single network. The network is designed to represent resilient examples with all the characteristic physical environments of the region while maximizing the amount of diversity contained within in them and the natural flow that connects them. By building the network around the natural pathways that allow species populations to shift and then identifying representative resilient sites situated within those pathways, the network is specifically configured to sustain biological diversity while allowing nature to adapt and change. The Resilient and Connected Landscapes analysis was tailored to regions based on input from regional steering committees that modified factors to capture local ecological functions important to each region. This national dataset is directly derived from the 9 regional datasets and care should be taken to understand the different methods in each of the regions.

韧性(Resilience)指生命系统适应气候变化、缓解潜在损害、把握机遇或应对相关后果的能力;简言之,即适应能力。大自然保护协会(The Nature Conservancy)的韧性分析框架旨在构建一套保护生物多样性的路径,同时允许物种与群落为应对持续变化的气候而重新分布。更多详情可参见:http://nature.org/climateresilience。 在韧性连通网络(Resilient and Connected Network)分析中,研究人员将兼具韧性、连通性与生物多样性特征的核心位点及其间的连通廊道整合为单一网络。该网络的设计目标是覆盖该区域所有典型物理生境的韧性样本,同时最大化网络内所承载的生物多样性总量,以及维系各节点间的自然连通性。 通过以允许物种种群迁移的自然廊道为基础搭建网络,再从中遴选出具备代表性的韧性位点,该网络可在保障自然系统适应与演化的同时,为生物多样性提供持续支撑。 韧性连通景观(Resilient and Connected Landscapes)分析针对不同区域开展了定制化适配:区域指导委员会通过调整分析因子,以适配各区域关键的本地生态功能需求。 本国家级数据集直接源自9个区域数据集,因此在使用时需充分理解各区域所采用的差异化分析方法。

创建时间:
2026-04-17
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