Restoration ecology through the lens of coexistence theory

Lauren M. Hallett; Lina Aoyama; György Barabás; Benjamin Gilbert; Loralee Larios; Nancy Shackelford; Chhaya M. Werner; Oscar Godoy; Emma R. Ladouceur; Jacob E. Lucero; Christopher P. Weiss-Lehman; Jonathan M. Chase; Chengjin Chu; W. Stanley Harpole; Margaret M. Mayfield; Akasha M. Faist; Lauren G. Shoemaker

doi:10.1016/j.tree.2023.06.004

Restoration ecology through the lens of coexistence theory

Lauren M. Hallett, Lina Aoyama, György Barabás, Benjamin Gilbert, Loralee Larios, Nancy Shackelford, Chhaya M. Werner, Oscar Godoy, Emma R. Ladouceur, Jacob E. Lucero, Christopher P. Weiss-Lehman, Jonathan M. Chase, Chengjin Chu, W. Stanley Harpole, Margaret M. Mayfield, Akasha M. Faist, Lauren G. Shoemaker

Ecosystem and Conservation Sciences

Research output: Contribution to journal › Review article › peer-review

19 Scopus citations

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.

Original language	English
Pages (from-to)	1085-1096
Number of pages	12
Journal	Trends in Ecology and Evolution
Volume	38
Issue number	11
DOIs	https://doi.org/10.1016/j.tree.2023.06.004
State	Published - Nov 2023

Funding

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. 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.

Funders	Funder number
2047239, EPS-2019528, -2019528, NS F
Australian Research Council	DP19010277
02548816, FZT 118
2017-05245
RYC-2017- 23666

Keywords

adaptive management
ecological restoration
environmental variability
growth rate partitioning
invasion criterion
species interactions
Models, Biological
Ecosystem
Ecology

Access to Document

10.1016/j.tree.2023.06.004

Cite this

Hallett, L. M., Aoyama, L., Barabás, G., Gilbert, B., Larios, L., Shackelford, N., Werner, C. M., Godoy, O., Ladouceur, E. R., Lucero, J. E., Weiss-Lehman, C. P., Chase, J. M., Chu, C., Harpole, W. S., Mayfield, M. M., Faist, A. M., & Shoemaker, L. G. (2023). Restoration ecology through the lens of coexistence theory. Trends in Ecology and Evolution, 38(11), 1085-1096. https://doi.org/10.1016/j.tree.2023.06.004

@article{5d32081815914cd0aba0dce1f8d6c946,

title = "Restoration ecology through the lens of coexistence theory",

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.",

keywords = "adaptive management, ecological restoration, environmental variability, growth rate partitioning, invasion criterion, species interactions, Models, Biological, Ecosystem, Ecology",

author = "Hallett, \{Lauren M.\} and Lina Aoyama and Gy{\"o}rgy Barab{\'a}s and Benjamin Gilbert and Loralee Larios and Nancy Shackelford and Werner, \{Chhaya M.\} and Oscar Godoy and Ladouceur, \{Emma R.\} and Lucero, \{Jacob E.\} and Weiss-Lehman, \{Christopher P.\} and Chase, \{Jonathan M.\} and Chengjin Chu and Harpole, \{W. Stanley\} and Mayfield, \{Margaret M.\} and Faist, \{Akasha M.\} and Shoemaker, \{Lauren G.\}",

note = "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 Ram{\'o}n y Cajal Program (RYC-2017- 23666); G.B. was supported by the Swedish Research Council (Vetenskapsr{\aa}det), 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 Ram{\'o}n y Cajal Program ( RYC-2017- 23666 ); G.B. was supported by the Swedish Research Council (Vetenskapsr{\aa}det), 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 {\textcopyright} 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.",

year = "2023",

month = nov,

doi = "10.1016/j.tree.2023.06.004",

language = "English",

volume = "38",

pages = "1085--1096",

journal = "Trends in Ecology and Evolution",

issn = "0169-5347",

publisher = "Elsevier Ltd",

number = "11",

}

Hallett, LM, Aoyama, L, Barabás, G, Gilbert, B, Larios, L, Shackelford, N, Werner, CM, Godoy, O, Ladouceur, ER, Lucero, JE, Weiss-Lehman, CP, Chase, JM, Chu, C, Harpole, WS, Mayfield, MM, Faist, AM & Shoemaker, LG 2023, 'Restoration ecology through the lens of coexistence theory', Trends in Ecology and Evolution, vol. 38, no. 11, pp. 1085-1096. https://doi.org/10.1016/j.tree.2023.06.004

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 - https://www.scopus.com/pages/publications/85165086238

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 -

Restoration ecology through the lens of coexistence theory

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Keywords

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