School of Life Sciences, Technical University of Munich, 85354 Freising, Germany.
Berchtesgaden National Park, 83471 Berchtesgaden, Germany.
Proc Natl Acad Sci U S A. 2022 Jul 12;119(28):e2202190119. doi: 10.1073/pnas.2202190119. Epub 2022 Jul 5.
Forest ecosystems are strongly impacted by continuing climate change and increasing disturbance activity, but how forest dynamics will respond remains highly uncertain. Here, we argue that a short time window after disturbance (i.e., a discrete event that disrupts prevailing ecosystem structure and composition and releases resources) is pivotal for future forest development. Trees that establish during this reorganization phase can shape forest structure and composition for centuries, providing operational early indications of forest change. While forest change has been fruitfully studied through a lens of resilience, profound ecological changes can be masked by a resilience versus regime shift dichotomy. We present a framework for characterizing the full spectrum of change after disturbance, analyzing forest reorganization along dimensions of forest structure (number, size, and spatial arrangement of trees) and composition (identity and diversity of tree species). We propose four major pathways through which forest cover can persist but reorganize following disturbance: resilience (no change in structure and composition), restructuring (structure changes but composition does not), reassembly (composition changes but structure does not), and replacement (structure and composition both change). Regime shifts occur when vegetation structure and composition are altered so profoundly that the emerging trajectory leads to nonforest. We identify fundamental processes underpinning forest reorganization which, if disrupted, deflect ecosystems away from resilience. To understand and predict forest reorganization, assessing these processes and the traits modulating them is crucial. A new wave of experiments, measurements, and models emphasizing the reorganization phase will further the capacity to anticipate future forest dynamics.
森林生态系统受到持续的气候变化和日益增加的干扰活动的强烈影响,但森林动态将如何响应仍高度不确定。在这里,我们认为,在干扰后的短时间窗口(即破坏现有生态系统结构和组成并释放资源的离散事件)对于未来的森林发展至关重要。在这个重组阶段建立的树木可以塑造森林结构和组成几个世纪,为森林变化提供早期的操作指示。虽然通过弹性视角对森林变化进行了富有成效的研究,但深刻的生态变化可能会被弹性与制度转变之间的二分法所掩盖。我们提出了一个框架来描述干扰后变化的全貌,沿着森林结构(树木的数量、大小和空间排列)和组成(树种的身份和多样性)的维度分析森林重组。我们提出了四种主要途径,通过这些途径,森林覆盖可以在干扰后持续存在但进行重组:弹性(结构和组成不变)、重构(结构发生变化但组成不变)、重新组装(组成发生变化但结构不变)和替换(结构和组成都发生变化)。当植被结构和组成发生如此深刻的变化,导致新出现的轨迹导致非森林时,就会发生制度转变。我们确定了支持森林重组的基本过程,如果这些过程被打乱,就会使生态系统偏离弹性。为了理解和预测森林重组,评估这些过程及其调节它们的特征至关重要。强调重组阶段的新一波实验、测量和模型将进一步提高预测未来森林动态的能力。