- Title
- Using long-term data to inform a decision pathway for restoration of ecosystem resilience
- Creator
- Gillson, Lindsey; Dirk, Cherié; Gell, Peter
- Date
- 2021
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/180946
- Identifier
- vital:15858
- Identifier
-
https://doi.org/10.1016/j.ancene.2021.100315
- Identifier
- ISBN:2213-3054 (ISSN)
- Abstract
- Landscapes change over time in response to multiple interacting drivers, including climate, disturbance, and land-use, which all leave a lasting legacy on ecosystem structure and function. As the dynamic nature of ecosystems is increasingly recognised, long-term data is essential to contextualise recent changes and provide a frame of reference for planning appropriate restoration responses. Knowledge of ecological function and process can underpin management thresholds and decision pathways that consider the history and resilience of ecosystems. This paper reviews and synthesizes literature relevant to process-based approaches to restoration ecology that incorporates a long-term perspective. In doing so, we identify alternative descriptors to frame reference conditions, useful theoretical principles for restoration ecology, and a management decision-support framework based on these principles. Such tools enable exploration of possible future scenarios and adaptation pathways for social-ecological resilience in a no-analogue future. © 2021 Elsevier Ltd
- Publisher
- Elsevier Ltd
- Relation
- Anthropocene Vol. 36, no. (2021), p.
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2021 Elsevier Ltd.
- Subject
- 4104 Environmental Management; Adaptive capacity; Cape floristic region: Murray-Darling Basin; Decision/adaptation pathways; Paleoecology; Resilience; Restoration
- Reviewed
- Funder
- The authors acknowledge the following sources of funding: African Climate and Development Initiative, University of Cape Town , South Africa; The Applied Centre for Climate & Earth System Science (ACCESS), South Africa; National Research Foundation of South Africa (NRF) Competitive Programme for Rated Researchers (Grant Number 118538 ); NRF / African Origins Platform (Grant Number 117666 ); NRF Global Change Grand Challenge (SASSCAL) (Grant number 118589 ).
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