Oregon State University, 328 Richardson Hall, Corvallis, OR, 97331-5752, USA.
Glob Chang Biol. 2014 Dec;20(12):3595-9. doi: 10.1111/gcb.12651. Epub 2014 Jul 21.
Accurate assessments of forest response to current and future climate and human actions are needed at regional scales. Predicting future impacts on forests will require improved analysis of species-level adaptation, resilience, and vulnerability to mortality. Land system models can be enhanced by creating trait-based groupings of species that better represent climate sensitivity, such as risk of hydraulic failure from drought. This emphasizes the need for more coordinated in situ and remote sensing observations to track changes in ecosystem function, and to improve model inputs, spatio-temporal diagnosis, and predictions of future conditions, including implications of actions to mitigate climate change.
需要在区域尺度上准确评估森林对当前和未来气候及人类活动的响应。预测未来对森林的影响将需要改进对物种水平适应、弹性和对死亡率脆弱性的分析。通过创建基于特征的物种分组，可以更好地代表气候敏感性，例如干旱导致水力失败的风险，从而增强土地系统模型。这强调了需要更协调的原地和遥感观测，以跟踪生态系统功能的变化，并改进模型输入、时空诊断和未来条件的预测，包括缓解气候变化行动的影响。
