期刊
ECOLOGY LETTERS
卷 25, 期 8, 页码 1854-1868出版社
WILEY
DOI: 10.1111/ele.14066
关键词
coherence; disturbance; Moran effect; nitrate; North Pacific Gyre Oscillation; oceanography; population dynamics; remote sensing; spatial synchrony; wavelet transforms
类别
资金
- National Science Foundation [1545288, 1714195, 2023474, 2023523, 2023555, 2140335]
- Direct For Biological Sciences
- Division Of Environmental Biology [1545288] Funding Source: National Science Foundation
- Directorate For Geosciences
- Division Of Ocean Sciences [2023555, 2023474, 2023523, 2140335] Funding Source: National Science Foundation
- Division Of Mathematical Sciences
- Direct For Mathematical & Physical Scien [1714195] Funding Source: National Science Foundation
Spatial synchrony is an important feature of population dynamics, but its factors and variations are not fully understood. By studying giant kelp populations, it was found that disturbance and resources interacted to produce synchrony across geography and timescales. The findings highlight the need to understand and predict synchrony by considering multiple environmental drivers.
Spatial synchrony is a ubiquitous and important feature of population dynamics, but many aspects of this phenomenon are not well understood. In particular, it is largely unknown how multiple environmental drivers interact to determine synchrony via Moran effects, and how these impacts vary across spatial and temporal scales. Using new wavelet statistical techniques, we characterised synchrony in populations of giant kelp Macrocystis pyrifera, a widely distributed marine foundation species, and related synchrony to variation in oceanographic conditions across 33 years (1987-2019) and >900 km of coastline in California, USA. We discovered that disturbance (storm-driven waves) and resources (seawater nutrients)-underpinned by climatic variability-act individually and interactively to produce synchrony in giant kelp across geography and timescales. Our findings demonstrate that understanding and predicting synchrony, and thus the regional stability of populations, relies on resolving the synergistic and antagonistic Moran effects of multiple environmental drivers acting on different timescales.
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