合作、多尺度与网络:草原牧区气候变化适应的研究进路及展望OACHSSCD
Cooperation,Multi-Scale,and Network:Research Progress and Prospects for Climate Change Adaptation in Grassland Pastoral Areas
积极推进绿色低碳转型进程中,认识气候变化适应进程必不可少,尤其是占据中国国土面积近一半的草原牧区,提高气候变化适应能力,对中国生态安全和社会经济发展都有重要影响.通过分析国内外70 多篇针对中国草原牧区气候变化适应的研究论文,研究进路从气候变化特征、适应策略变化、适应能力评估和适应能力提高四个方面得以展现.草场承包到户后,传统移动策略受限,市场策略减少了牲畜损失,但成本和长期风险明显增加,部分牧民重建和加强合作关系以增强适应能力.现有研究重微观个体,但牧户个体适应能力的增强并不必然导致更重要的社区整体适应能力的增强.适应能力的提高需要"跳出适应看适应",即采用多尺度分析和网络视角,发挥地方生态知识作用,避免不良适应.
While actively promoting green and low-carbon transitions,understanding the process of climate change adaptation is essential.This is especially true for pastoral areas,which account for forty percent of China's land area.Enhancing adaptive capacity to climate change in these regions has significant implications for China's ecological security and socio-economic development.Based on an analysis of over 70 domestic and international research papers on climate change adaptation in China's pastoral areas,the research progress is presented from three perspectives:changes in adaptation strategies,assessment of adaptive capacity,and enhancement of adaptive capacity.Following the household contract responsibility system for rangelands,traditional mobility strategies have become constrained.Market-oriented strategies have reduced livestock losses but significantly increased costs and long-term risks.Some herders have rebuilt and strengthened cooperative relationships to boost their adaptive capacity.Existing research focuses heavily on micro-level individual herders,yet an increase in the adaptive capacity of individual herding households does not necessarily lead to a more important enhancement of the adaptive capacity of the entire community.Improving adaptive capacity requires"thinking out of the box"i.e.,adopting multi-scale analysis and network perspectives,leveraging local ecological knowledge,and avoiding maladaptation.
张倩
中国社会科学院 社会学研究所,北京 100732
社会科学
适应能力气候变化不良适应多尺度分析地方生态知识
adaptabilityclimate changemaladaptationmulti-scale analysislocal ecological knowledge
《北京工业大学学报(社会科学版)》 2026 (5)
79-94,16
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