The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
Increasing impacts of land use on biodiversity and carbon sequestration driven by population and economic growth
Open accessAbstract
Biodiversity and ecosystem service losses driven by land-use change are expected to intensify as a growing and more affluent global population requires more agricultural and forestry products, and teleconnections in the global economy lead to increasing remote environmental responsibility. By combining global biophysical and economic models, we show that, between the years 2000 and 2011, overall population and economic growth resulted in increasing total impacts on bird diversity and carbon sequestration globally, despite a reduction of land-use impacts per unit of gross domestic product (GDP). The exceptions were North America and Western Europe, where there was a reduction of forestry and agriculture impacts on nature accentuated by the 2007–2008 financial crisis. Biodiversity losses occurred predominantly in Central and Southern America, Africa and Asia with international trade an important and growing driver. In 2011, 33% of Central and Southern America and 26% of Africa’s biodiversity impacts were driven by consumption in other world regions. Overall, cattle farming is the major driver of biodiversity loss, but oil seed production showed the largest increases in biodiversity impacts. Forestry activities exerted the highest impact on carbon sequestration, and also showed the largest increase in the 2000–2011 period. Our results suggest that to address the biodiversity crisis, governments should take an equitable approach recognizing remote responsibility, and promote a shift of economic development towards activities with low biodiversity impacts. Combining biophysical and economic models, the authors show that the impacts of land use on bird biodiversity and carbon sequestration have increased over the years 2000–2011, with cattle farming being a major driver of biodiversity loss.
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Cites
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Cited by
The direct drivers of recent global anthropogenic biodiversity loss
Jaureguiberry, P., Titeux, N., Wiemers, M., Bowler, D. E., Coscieme, L., Golden, A. S., Guerra, C. A., Jacob, U., Takahashi, Y., Settele, J., et al. (2022) · Science Advances · doi:10.1126/sciadv.abm9982 · Cited by 1,121
“For instance, some “nature-blind” strategies for mitigating climate change include large-scale expansion of cropland bioenergy, but the resulting loss of natural habitat will directly harm biodiversity ( 33 ) and is already among the pressures with fastest-growing impacts ( 34 ).”
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Self-citationBiodiversity policy beyond economic growth
Otero, I., Farrell, K. N., Pueyo, S., Kallis, G., Kehoe, L., Haberl, H., Plutzar, C., Hobson, P., García‐Márquez, J., Rodríguez‐Labajos, B., et al. (2020) · Conservation Letters · doi:10.1111/conl.12713 · Cited by 284
Self-citation
Metadata
- Authors
- Marques, A., Martins, I. S., Kastner, T., Plutzar, C., Theurl, M. C., Eisenmenger, N., Huijbregts, M. A. J., Wood, R., Stadler, K., Bruckner, M., Canelas, J., Hilbers, J. P., Tukker, A., Erb, K., & Pereira, H. M.
- Venue
- Nature Ecology & Evolution
- Published
- 2019-03-04
- Volume
- 3
- Issue
- 4
- Pages
- 628-637
- ISSN
- 2397-334X (ISSN-L)
- OpenAlex
- W2919990920
- Cited by
- 517
- References
- 68
- FWCI
- 26.49
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- www.springernature.com/gp/researchers/text-and-data-mining (tdm)
- www.springernature.com/gp/researchers/text-and-data-mining (vor)
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- Marques, A., Martins, I. S., Kastner, T., Plutzar, C., Theurl, M. C., Eisenmenger, N., Huijbregts, M. A. J., Wood, R., Stadler, K., Bruckner, M., Canelas, J., Hilbers, J. P., Tukker, A., Erb, K., & Pereira, H. M. (2019). Increasing impacts of land use on biodiversity and carbon sequestration driven by population and economic growth. Nature Ecology & Evolution. https://doi.org/10.1038/s41559-019-0824-3
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
