Centre for Biodiversity Theory and Modelling, Theoretical and Experimental Ecology Station, CNRS, Moulis, France.
Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden.
PLoS Comput Biol. 2021 Sep 29;17(9):e1009427. doi: 10.1371/journal.pcbi.1009427. eCollection 2021 Sep.
Humans play major roles in shaping and transforming the ecology of Earth. Unlike natural drivers of ecosystem change, which are erratic and unpredictable, human intervention in ecosystems generally involves planning and management, but often results in detrimental outcomes. Using model studies and aerial-image analysis, we argue that the design of a successful human intervention form calls for the identification of the self-organization modes that drive ecosystem change, and for studying their dynamics. We demonstrate this approach with two examples: grazing management in drought-prone ecosystems, and rehabilitation of degraded vegetation by water harvesting. We show that grazing can increase the resilience to droughts, rather than imposing an additional stress, if managed in a spatially non-uniform manner, and that fragmental restoration along contour bunds is more resilient than the common practice of continuous restoration in vegetation stripes. We conclude by discussing the need for additional studies of self-organization modes and their dynamics.
人类在塑造和改变地球生态系统方面发挥着重要作用。与生态系统变化的自然驱动因素不同,后者具有不规则和不可预测性,人类对生态系统的干预通常涉及规划和管理,但往往会导致不利的结果。我们使用模型研究和航空图像分析,认为成功的人类干预形式的设计需要识别驱动生态系统变化的自组织模式,并研究其动态。我们用两个例子来说明这种方法:干旱生态系统中的放牧管理和通过集水恢复退化植被。我们表明,如果以空间不均匀的方式进行管理,放牧可以增加对干旱的抵抗力,而不是施加额外的压力,并且沿着等高线护堤的片段式恢复比常见的沿植被带进行连续恢复更具弹性。最后,我们讨论了需要进一步研究自组织模式及其动态的必要性。