Evaluating the mitigation effectiveness of forests managed for conservation versus commodity production using an Australian example Article Swipe
Heather Keith
,
Brendan Mackey
,
Zoltàn Kun
,
Martin Mikoláš
,
Marek Svitok
,
Miroslav Svoboda
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1111/conl.12878
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1111/conl.12878
Forests are critical for biodiversity conservation and climate change mitigation: reducing emissions, increasing removals, and providing resilient ecosystems with stable long‐term carbon storage. However, evaluating the mitigation effectiveness of forests managed for conservation versus commodity production has been long debated. We assessed factors influencing evaluation of mitigation effectiveness––land area, time horizon, reference level, carbon stock longevity––and tested the outcomes using analyses of carbon dynamics from an Australian ecosystem. Results showed that landscape scale accounting using carbon carrying capacity as the reference level and assessed over a series of time horizons best enables explicit evaluation of mitigation benefits. Time horizons need to differentiate between near‐term emissions reduction targets (2030 and 2050), relative longevity of carbon stocks in different reservoirs, and long‐term impacts on atmospheric CO 2 concentration. Greatest mitigation benefits derive from conservation through continued forest growth (52% gain in carbon stock by 2050) and accumulating carbon to attain carbon retention potential (70% gain). Cumulative emissions from harvesting result in permanent elevation of atmospheric CO 2 concentration (32 times the annual emission by rotation end). We recommend these time horizons and landscape scales for evaluating forest management to better guide policies and investments for achieving climate mitigation and biodiversity conservation.
Related Topics
Concepts
Climate change mitigation
Environmental science
Carbon sequestration
Climate change
Greenhouse gas
Ecosystem services
Carbon stock
Stock (firearms)
Biodiversity
Wood production
Ecosystem
Environmental resource management
Forest management
Agroforestry
Ecology
Geography
Carbon dioxide
Biology
Archaeology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/conl.12878
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/conl.12878
- OA Status
- gold
- Cited By
- 6
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4213421375
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4213421375Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1111/conl.12878Digital Object Identifier
- Title
-
Evaluating the mitigation effectiveness of forests managed for conservation versus commodity production using an Australian exampleWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2022Year of publication
- Publication date
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2022-02-24Full publication date if available
- Authors
-
Heather Keith, Brendan Mackey, Zoltàn Kun, Martin Mikoláš, Marek Svitok, Miroslav SvobodaList of authors in order
- Landing page
-
https://doi.org/10.1111/conl.12878Publisher landing page
- PDF URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/conl.12878Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/conl.12878Direct OA link when available
- Concepts
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Climate change mitigation, Environmental science, Carbon sequestration, Climate change, Greenhouse gas, Ecosystem services, Carbon stock, Stock (firearms), Biodiversity, Wood production, Ecosystem, Environmental resource management, Forest management, Agroforestry, Ecology, Geography, Carbon dioxide, Biology, ArchaeologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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6Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 2, 2023: 1, 2022: 1Per-year citation counts (last 5 years)
- References (count)
-
29Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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