Please use this identifier to cite or link to this item:
http://dx.doi.org/10.25673/113093
Title: | Restoration ecology through the lens of coexistence theory |
Author(s): | Hallett, Lauren M. Aoyama, Lina Barabas, György ![]() Gilbert, Benjamin ![]() Larios, Loralee Shackelford, Nancy Werner, Chhaya M. Godoy, Oscar Ladouceur, Emma R. Lucero, Jacob E. Weiss-Lehman, Christopher P. Chase, Jonathan ![]() Chu, Chengjin Harpole, Stan ![]() Mayfield, Margaret M. Faist, Akasha M. Shoemaker, Lauren G. |
Issue Date: | 2023 |
Type: | Article |
Language: | English |
Abstract: | Advances in restoration ecology are needed to guide ecological restoration in a variable and changing world. Coexistence theory provides a framework for how variability in environmental conditions and species interactions affects species success. Here, we conceptually link coexistence theory and restoration ecology. First, including low-density growth rates (LDGRs), a classic metric of coexistence, can improve abundance-based restoration goals, because abundances are sensitive to initial treatments and ongoing variability. Second, growth-rate partitioning, developed to identify coexistence mechanisms, can improve restoration practice by informing site selection and indicating necessary interventions (e.g., site amelioration or competitor removal). Finally, coexistence methods can improve restoration assessment, because initial growth rates indicate trajectories, average growth rates measure success, and growth partitioning highlights interventions needed in future. |
URI: | https://opendata.uni-halle.de//handle/1981185920/115049 http://dx.doi.org/10.25673/113093 |
Open Access: | ![]() |
License: | ![]() |
Journal Title: | Trends in ecology and evolution |
Publisher: | Elsevier |
Publisher Place: | Amsterdam [u.a.] |
Volume: | 38 |
Issue: | 11 |
Original Publication: | 10.1016/j.tree.2023.06.004 |
Page Start: | 1085 |
Page End: | 1096 |
Appears in Collections: | Open Access Publikationen der MLU |
Files in This Item:
File | Description | Size | Format | |
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1-s2.0-S0169534723001520-main.pdf | 2.72 MB | Adobe PDF | ![]() View/Open |