TY - JOUR
T1 - Restoration ecology through the lens of coexistence theory
AU - Hallett, Lauren M.
AU - Aoyama, Lina
AU - Barabás, György
AU - Gilbert, Benjamin
AU - Larios, Loralee
AU - Shackelford, Nancy
AU - Werner, Chhaya M.
AU - Godoy, Oscar
AU - Ladouceur, Emma R.
AU - Lucero, Jacob E.
AU - Weiss-Lehman, Christopher P.
AU - Chase, Jonathan M.
AU - Chu, Chengjin
AU - Harpole, W. Stanley
AU - Mayfield, Margaret M.
AU - Faist, Akasha M.
AU - Shoemaker, Lauren G.
N1 - Funding Information:
This paper is a joint effort of the working group sToration kindly supported by sDiv, the Synthesis Centre of the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, funded by the German Research Foundation (FZT 118, 02548816). E.R.L. J.M.C. and W.S.H. also acknowledge support from iDiv for their contributions. L.M.H. was supported by National Science Foundation (NSF) award #2047239. C.P.W.L. C.M.W. and L.G.S. were supported by Modelscapes, NSF award #EPS-2019528. O.G. was supported by the Spanish Ministry of Economy and Competitiveness (MINECO) and by the European Social Fund through the Ramón y Cajal Program (RYC-2017- 23666); G.B. was supported by the Swedish Research Council (Vetenskapsrådet), grant 2017-05245; M.M.M. was supported by the Australian Research Council (DP19010277). We thank Robert Johnson for sharing the CMAQ Nitrogen deposition data. No interests are declared.
Funding Information:
This paper is a joint effort of the working group sToration kindly supported by sDiv, the Synthesis Centre of the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, funded by the German Research Foundation ( FZT 118 , 02548816 ). E.R.L., J.M.C., and W.S.H. also acknowledge support from iDiv for their contributions. L.M.H. was supported by National Science Foundation (NS F) award # 2047239 . C.P.W.L., C.M.W., and L.G.S. were supported by Modelscapes , NSF award # EPS-2019528 . O.G. was supported by the Spanish Ministry of Economy and Competitiveness (MINECO) and by the European Social Fund through the Ramón y Cajal Program ( RYC-2017- 23666 ); G.B. was supported by the Swedish Research Council (Vetenskapsrådet), grant 2017-05245 ; M.M.M. was supported by the Australian Research Council ( DP19010277 ). We thank Robert Johnson for sharing the CMAQ Nitrogen deposition data.
Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.
PY - 2023/11
Y1 - 2023/11
N2 - 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.
AB - 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.
KW - adaptive management
KW - ecological restoration
KW - environmental variability
KW - growth rate partitioning
KW - invasion criterion
KW - species interactions
KW - Models, Biological
KW - Ecosystem
KW - Ecology
UR - http://www.scopus.com/inward/record.url?scp=85165086238&partnerID=8YFLogxK
U2 - 10.1016/j.tree.2023.06.004
DO - 10.1016/j.tree.2023.06.004
M3 - Review article
C2 - 37468343
AN - SCOPUS:85165086238
SN - 0169-5347
VL - 38
SP - 1085
EP - 1096
JO - Trends in Ecology and Evolution
JF - Trends in Ecology and Evolution
IS - 11
ER -