Can large herbivores enhance ecosystem carbon persistence?
Abstract
There is growing interest in aligning the wildlife conservation and restoration agenda with climate change mitigation goals. However, the presence of large herbivores tends to reduce aboveground biomass in some open-canopy ecosystems, leading to the possibility that large herbivore restoration may negatively influence ecosystem carbon storage. Furthermore, belowground carbon storage is often ignored in these systems, despite the wide recognition of soils as the largest actively-cycling terrestrial carbon pool. Here, we suggest a shift away from a main focus on vegetation carbon stocks, towards inclusion of whole ecosystem carbon persistence, in future assessments of large herbivore effects on long-term carbon storage. Failure to do so may lead to counterproductive biodiversity and climate impacts of land management actions.
- Authors:
-
[1];
- Univ. of Oxford (United Kingdom). Environmental Change Inst.; Aarhus Univ. (Denmark). Center for Biodiversity Dynamics in a Changing World (BIOCHANGE)
- Aarhus Univ. (Denmark). Center for Biodiversity Dynamics in a Changing World (BIOCHANGE)
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Univ. of Oxford (United Kingdom). Environmental Change Inst.
- Publication Date:
- Research Org.:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA); Carlsberg Foundation; Villum Foundation; Independent Research Fund Denmark; US Dept. of Agriculture (USDA)
- OSTI Identifier:
- 1835019
- Report Number(s):
- LLNL-JRNL-825879
Journal ID: ISSN 0169-5347; 1039384
- Grant/Contract Number:
- AC52-07NA27344; CF20-0238; 16549; 0135-00225B; 2018-67012-27982
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Trends in Ecology and Evolution
- Additional Journal Information:
- Journal Volume: 37; Journal Issue: 2; Journal ID: ISSN 0169-5347
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; ecosystem carbon persistence; herbivory; mineral-associated organic matter; non-trophic interactions; rewilding
Citation Formats
Kristensen, Jeppe A., Svenning, Jens-Christian, Georgiou, Katerina, and Malhi, Yadvinder. Can large herbivores enhance ecosystem carbon persistence?. United States: N. p., 2021.
Web. doi:10.1016/j.tree.2021.09.006.
Kristensen, Jeppe A., Svenning, Jens-Christian, Georgiou, Katerina, & Malhi, Yadvinder. Can large herbivores enhance ecosystem carbon persistence?. United States. https://doi.org/10.1016/j.tree.2021.09.006
Kristensen, Jeppe A., Svenning, Jens-Christian, Georgiou, Katerina, and Malhi, Yadvinder. Wed .
"Can large herbivores enhance ecosystem carbon persistence?". United States. https://doi.org/10.1016/j.tree.2021.09.006. https://www.osti.gov/servlets/purl/1835019.
@article{osti_1835019,
title = {Can large herbivores enhance ecosystem carbon persistence?},
author = {Kristensen, Jeppe A. and Svenning, Jens-Christian and Georgiou, Katerina and Malhi, Yadvinder},
abstractNote = {There is growing interest in aligning the wildlife conservation and restoration agenda with climate change mitigation goals. However, the presence of large herbivores tends to reduce aboveground biomass in some open-canopy ecosystems, leading to the possibility that large herbivore restoration may negatively influence ecosystem carbon storage. Furthermore, belowground carbon storage is often ignored in these systems, despite the wide recognition of soils as the largest actively-cycling terrestrial carbon pool. Here, we suggest a shift away from a main focus on vegetation carbon stocks, towards inclusion of whole ecosystem carbon persistence, in future assessments of large herbivore effects on long-term carbon storage. Failure to do so may lead to counterproductive biodiversity and climate impacts of land management actions.},
doi = {10.1016/j.tree.2021.09.006},
journal = {Trends in Ecology and Evolution},
number = 2,
volume = 37,
place = {United States},
year = {Wed Nov 17 00:00:00 EST 2021},
month = {Wed Nov 17 00:00:00 EST 2021}
}
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