Please use this identifier to cite or link to this item:
http://dx.doi.org/10.25673/113467
Title: | Spatial replication can best advance our understanding of population responses to climate |
Author(s): | Compagnoni, Aldo Evers, Sanne Knight, Tiffany M. |
Issue Date: | 2024 |
Type: | Article |
Language: | English |
Abstract: | Understanding the responses of plant populations dynamics to climatic variability is frustrated by the need for long-term datasets. Here, we advocate for new studies that estimate the effects of climate by sampling replicate populations in locations with similar climate. We first use data analysis on spatial locations in the conterminous USA to assess how far apart spatial replicates should be from each other to minimize temporal correlations in climate. We find that on average spatial locations separated by 316 km (SD = 149 km) have moderate (0.5) correlations in annual precipitation. Second, we use simulations to demonstrate that spatial replication can lead to substantial gains in the range of climates sampled during a given set of years so long as the climate correlations between the populations are at low to moderate levels. Third, we use simulations to quantify how many spatial replicates would be necessary to achieve the same statistical power of a single-population, long-term data set under different strengths and directions of spatial correlations in climate between spatial replicates. Our results indicate that spatial replication is an untapped opportunity to study the effects of climate on demography and to rapidly fill important knowledge gaps in the field of population ecology. |
URI: | https://opendata.uni-halle.de//handle/1981185920/115422 http://dx.doi.org/10.25673/113467 |
Open Access: | Open access publication |
License: | (CC BY 3.0) Creative Commons Attribution 3.0 Unported |
Journal Title: | Ecography |
Publisher: | Wiley-Blackwell |
Publisher Place: | Oxford [u.a.] |
Volume: | 2024 |
Issue: | 1 |
Original Publication: | 10.1111/ecog.06833 |
Page Start: | !1 |
Page End: | 8 |
Appears in Collections: | Open Access Publikationen der MLU |
Files in This Item:
File | Description | Size | Format | |
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Ecography - 2023 - Compagnoni - Spatial replication can best advance our understanding of population responses to climate.pdf | 857.81 kB | Adobe PDF | View/Open |