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Long-term ecological dynamics: reciprocal insights from natural and anthropogenic gradients

机译:长期生态动力学:自然梯度和人为梯度的互惠见解

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摘要

Many ecological dynamics occur over time-scales that are well beyond the duration of conventional experiments or observations. One useful approach to overcome this problem is extrapolation of temporal dynamics from spatial variation. We review two complementary variants of this approach that have been of late increasingly employed: the use of natural gradients to infer anthropogenic effects and the use of anthropogenic gradients to infer natural dynamics. Recent studies have considered a variety of naturally occurring gradients associated with climate, CO2, disturbance and biodiversity gradients, as well as anthropogenic gradients such as those created by biological invasions, habitat fragmentation and land abandonment. These studies show that natural gradients are useful in predicting long-term consequences of human-induced environmental changes, whereas anthropogenic gradients are helpful in inferring the mechanisms behind natural dynamics because covarying factors are often more clearly understood in anthropogenic gradients than in natural gradients. We classify these studies into several categories, each with different strengths and weaknesses, and outline how the limitations can be overcome by combining the gradient-based approach with other approaches. Overall, studies reviewed here demonstrate that the development of basic ecological concepts and the application of these concepts to environmental problems can be more effective when conducted complementarily than when pursued separately.
机译:许多生态动力学发生的时间尺度远远超出了常规实验或观察的持续时间。克服此问题的一种有用方法是根据空间变化推断时间动态。我们回顾了这种方法的两个互补变体,这些变体最近已被越来越多地采用:使用自然梯度来推断人为效应和使用人为梯度来推断自然动力。最近的研究已经考虑了各种与气候,二氧化碳,扰动和生物多样性梯度相关的自然梯度,以及人为梯度,例如由生物入侵,生境破碎和土地遗弃造成的梯度。这些研究表明,自然梯度可用于预测人为环境变化的长期后果,而人为梯度则有助于推断自然动力学背后的机制,因为与人为梯度相比,人为梯度通常比自然梯度更容易理解。我们将这些研究分为几类,各有优缺点,并概述了如何通过将基于梯度的方法与其他方法结合来​​克服这些局限性。总的来说,这里回顾的研究表明,基本生态概念的发展以及这些概念在环境问题上的应用与补充实践相比要比单独研究更有效。

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