Abstract

The spatial scaling of stability is key to understanding ecological sustainability across scales and the sensitivity of ecosystems to habitat destruction. Here we propose the invariability–area relationship (IAR) as a novel approach to investigate the spatial scaling of stability. The shape and slope of IAR are largely determined by patterns of spatial synchrony across scales. When synchrony decays exponentially with distance, IARs exhibit three phases, characterized by steeper increases in invariability at both small and large scales. Such triphasic IARs are observed for primary productivity from plot to continental scales. When synchrony decays as a power law with distance, IARs are quasilinear on a log–log scale. Such quasilinear IARs are observed for North American bird biomass at both species and community levels. The IAR provides a quantitative tool to predict the effects of habitat loss on population and ecosystem stability and to detect regime shifts in spatial ecological systems, which are goals of relevance to conservation and policy.

Highlights

  • The spatial scaling of stability is key to understanding ecological sustainability across scales and the sensitivity of ecosystems to habitat destruction

  • Ecosystem stability at large scales is of particular relevance to human societies as global food security depends on the stability of crop and fish production at regional and global scales[5,6,7,8]

  • Spatial scaling of stability is key to understanding ecological sustainability across scales and predicting the consequences of habitat destruction for long-term ecological dynamics

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Summary

Introduction

The spatial scaling of stability is key to understanding ecological sustainability across scales and the sensitivity of ecosystems to habitat destruction. Understanding the spatial scaling of stability implies understanding the scaling of intrinsic dynamical processes (for example, species interactions, dispersal, and so on) and that of external perturbations (for example, climate events, fires, and so on). For this purpose, invariability, which measures the magnitude of an ecosystem’s response to persistent and erratic environmental perturbations[18] and which can be defined consistently across levels of organization and scales[13,14,19], offers an accessible starting point. Our study based on invariability may offer insights into the spatial scaling of other stability metrics

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