The exploration of evolutionary biology and biological adaptation can inform society's adaptation to climate change, particularly the mechanisms that bring about adaptability, such as phenotypic plasticity, epigenetics, and horizontal gene transfer. Learning from unplanned autonomous biological adaptation may be considered undesirable and incompatible with human endeavor. However, it is argued that there is no need for agency, and planned adaptation is not necessarily preferable over autonomous adaptation. What matters is the efficacy of adaptive mechanisms and their capacity to increase societal resilience to current and future impacts. In addition, there is great scope for industrial ecology (IE) to contribute approaches to climate change adaptation that generate system models and baseline data to inform decision making. The problem of “uncertainty” was chosen as an example of a challenge that is shared by biological systems, IE, and climate change adaptation to show how biological adaptation might contribute solutions. Finally, the Coastal Climate Adaptation Decision Support tool was used to demonstrate how IE and biological adaptation approaches may be mainstreamed in climate change adaptation planning and practice. In conclusion, there is close conceptual alignment between evolutionary biology and IE. The integration of biological adaptation thinking can enrich IE, add new perspectives to climate change adaptation science, and support IE's engagement with climate change adaptation. There should be no major obstacles regarding the collaboration of industrial ecologists with the climate change adaptation community, but mainstreaming of biological adaptation solutions depends greatly on successful knowledge transfer and the engagement of open‐minded and informed adaptation stakeholders.

中文翻译：

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为适应气候变化注入生命

对进化生物学和生物适应的探索可以为社会对气候变化的适应提供信息，尤其是带来适应性的机制，例如表型可塑性，表观遗传学和水平基因转移。从计划外的自主生物适应中学习可能被认为是不希望的，并且与人类的努力不兼容。但是，有人认为不需要代理，有计划的适应不一定比自主适应更可取。重要的是适应机制的功效及其增强社会对当前和未来影响的适应力的能力。此外，工业生态学（IE）在为气候变化适应做出贡献的方法上有很大的发展空间，这些方法可以生成系统模型和基准数据来为决策提供依据。选择“不确定性”问题作为生物系统，IE和气候变化适应共同面临的挑战的一个例子，以显示生物适应如何为解决方案做出贡献。最后，使用了沿海气候适应决策支持工具来说明IE和生物适应方法如何在气候变化适应规划和实践中主流化。总之，进化生物学与IE之间存在紧密的概念一致性。生物适应性思维的整合可以丰富IE，为气候变化适应科学增添新的视角，并支持IE参与气候变化适应。工业生态学家与气候变化适应社区之间的合作应该没有主要障碍，