Abstract
Our knowledge of ecological stability is built on assumptions of scale.
These assumptions limit our ability to reach a generalizable and
mechanistic understanding of stability under global environmental
change. Moving towards a multiscale approach—across space, time and
environment—will allow us to better understand the intrinsic (e.g.,
demographic) and extrinsic (environmental) drivers of ecological
stability. In this perspective, we review multiple sources of variation
responsible for shaping ecological dynamics, and how scale affects our
observation of these dynamics through its confounding effect on drivers
of variation in ecosystems. We discuss the effect of temporal scale when
combining empirical dynamic modeling with high‐resolution population
time series to consider the time‐varying nature of multispecies
interaction networks, highlighting interspecific interactions as an
intrinsic driver of community dynamics. Next, we examine energy
landscape analysis as a method for inferring stability and transience
during community assembly and its interaction with spatial scale,
emphasizing the intrinsic role of compositional variability in assembly
dynamics. We then examine population dynamics at species' range margins
and show how considering the interaction between spatial and temporal
environmental heterogeneity, an extrinsic driver of population dynamics,
can facilitate a nuanced understanding of population expansions, range
shifts, and species invasions. Finally, we discuss broadly how the
sources of intrinsic and extrinsic variation interact with each other
and with spatiotemporal scale to shape ecological dynamics. Better
recognition of the scale‐dependent nature of the relationship between
drivers of variation and ecological dynamics will be invaluable to
illuminate the dynamics influencing ecological stability across scales.
| Original language | English |
|---|---|
| Journal | Advances in Ecological Research |
| Volume | Early View |
| Early online date | 28 Feb 2021 |
| DOIs | |
| Publication status | E-pub ahead of print - 28 Feb 2021 |
Keywords
- Community dynamics
- Empirical dynamic modeling
- Energy landscape analysis
- Metacommunity
- Time series
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