The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
Quantifying Land Use Impacts on Biodiversity: Combining Species–Area Models and Vulnerability Indicators
Open accessAbstract
Habitat degradation and subsequent biodiversity damage often take place far from the place of consumption because of globalization and the increasing level of international trade. Informing consumers and policy makers about the biodiversity impacts "hidden" in the life cycle of imported products is an important step toward achieving sustainable consumption patterns. Spatially explicit methods are needed in life cycle assessment to accurately quantify biodiversity impacts of products and processes. We use the Countryside species-area relationship (SAR) to quantify regional species loss due to land occupation and transformation for five taxa and six land use types in 804 terrestrial ecoregions. Further, we calculate vulnerability scores for each ecoregion based on the fraction of each species' geographic range (endemic richness) hosted by the ecoregion and the IUCN assigned threat level of each species. Vulnerability scores are multiplied with SAR-predicted regional species loss to estimate potential global extinctions per unit of land use. As a case study, we assess the land use biodiversity impacts of 1 kg of bioethanol produced using six different feed stocks in different parts of the world. Results show that the regions with highest biodiversity impacts differed markedly when the vulnerability of species was included.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Terrestrial ecoregions of the world: a new map of life on Earth
Olson, D. M., Dinerstein, E., Wikramanayake, E. D., Burgess, N. D., Powell, G. V. N., Underwood, E. C., D'amico, J. A., Itoua, I., Strand, H. E., Morrison, J. C., et al. (2001) · BioScience · doi:10.1641/0006-3568(2001)051[0933:teotwa]2.0.co;2 · Cited by 8,488
Biodiversity loss and its impact on humanity
Cardinale, B. J., Duffy, J. E., Gonzalez, A., Hooper, D. U., Perrings, C., Venail, P., Narwani, A., Mace, G. M., Tilman, D., Wardle, D. A., et al. (2012) · Nature · doi:10.1038/nature11148 · Cited by 7,457
Species diversity in space and time
(1996) · Choice Reviews Online · doi:10.5860/choice.33-2720 · Cited by 4,573
Global effects of land use on local terrestrial biodiversity
Newbold, T., Hudson, L. N., Hill, S. L. L., Contu, S., Lysenko, I., Senior, R. A., Börger, L., Bennett, D. J., Choimes, A., Collen, B., et al. (2015) · Nature · doi:10.1038/nature14324 · Cited by 4,352
Species Diversity in Space and Time
Rosenzweig, M. L. (1995) · doi:10.1017/cbo9780511623387 · Cited by 3,690
How Many Species Are There on Earth and in the Ocean?
Mora, C., Tittensor, D. P., Adl, S., Simpson, A. G. B., & Worm, B. (2011) · PLoS Biology · doi:10.1371/journal.pbio.1001127 · Cited by 3,045
A global synthesis reveals biodiversity loss as a major driver of ecosystem change
Hooper, D. U., Adair, E. C., Cardinale, B. J., Byrnes, J. E. K., Hungate, B. A., Matulich, K. L., Gonzalez, A., Duffy, J. E., Gamfeldt, L., & O’Connor, M. I. (2012) · Nature · doi:10.1038/nature11118 · Cited by 2,406
Primary forests are irreplaceable for sustaining tropical biodiversity
Gibson, L., Lee, T. M., Koh, L. P., Brook, B. W., Gardner, T. A., Barlow, J., Peres, C. A., Bradshaw, C. J. A., Laurance, W. F., Lovejoy, T. E., et al. (2011) · Nature · doi:10.1038/nature10425 · Cited by 2,147
Habitat Loss and Extinction in the Hotspots of Biodiversity
Brooks, T. M., Mittermeier, R. A., Mittermeier, C. G., Da Fonseca, G. A. B., Rylands, A. B., Konstant, W. R., Flick, P., Pilgrim, J., Oldfield, S., Magin, G., et al. (2002) · Conservation Biology · doi:10.1046/j.1523-1739.2002.00530.x · Cited by 2,059
Putting people in the map: anthropogenic biomes of the world
Ellis, E. C., & Ramankutty, N. (2008) · Frontiers in Ecology and the Environment · doi:10.1890/070062 · Cited by 1,846
Research works printed but not linked: 8
- 2005, Ecosystems and human wellbeing: biodiversity synthesis
- Proença, 2013, Species–area models to assess biodiversity change in multi-habitat landscapes: the importance of species habitat affinity, Basic Appl. Ecol., 14, 102, 10.1016/j.baae.2012.10.010 · doi:10.1016/j.baae.2012.10.010
- Goedkoop, 2009, ReCiPe 2008. Main Report, Part 1: Characterization
- Koellner, 2008, Assessment of land use impacts on the natural environment. Part 2: generic characterization factors for local species diversity in Central Europe, Int. J. Life Cycle Assess., 13, 32, 10.1007/s11367-006-0292-2 · doi:10.1007/s11367-006-0292-2
- 2014, ArcGIS
- 2011, Matlab
- 2001, IUCN red list categories and criteria
- Sørensen, 1948, A method of establishing groups of equal amplitude in plant sociology based on similarity of species content, Biol. Skr.─K. Dan. Vidensk. Selsk., 5, 4
Cited by
ReCiPe2016: a harmonised life cycle impact assessment method at midpoint and endpoint level
Huijbregts, M. A. J., Steinmann, Z. J. N., Elshout, P. M. F., Stam, G., Verones, F., Vieira, M., Zijp, M., Hollander, A., & van Zelm, R. (2017) · The International Journal of Life Cycle Assessment · doi:10.1007/s11367-016-1246-y · Cited by 4,485
Self-citationBending the curve of terrestrial biodiversity needs an integrated strategy
Leclère, D., Obersteiner, M., Barrett, M., Butchart, S. H. M., Chaudhary, A., De Palma, A., DeClerck, F. A. J., Di Marco, M., Doelman, J. C., Dürauer, M., et al. (2020) · Nature · doi:10.1038/s41586-020-2705-y · Cited by 922
Self-citationHuang, J., Xu, C.-C., Ridoutt, B. G., Wang, X.-C., & Ren, P.-A. (2017) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2017.05.008 · Cited by 596
The climate change mitigation potential of bioenergy with carbon capture and storage
Hanssen, S. V., Daioglou, V., Steinmann, Z. J. N., Doelman, J. C., Van Vuuren, D. P., & Huijbregts, M. A. J. (2020) · Nature Climate Change · doi:10.1038/s41558-020-0885-y · Cited by 301
Knudsen, M. T., Dorca-Preda, T., Djomo, S. N., Peña, N., Padel, S., Smith, L. G., Zollitsch, W., Hörtenhuber, S., & Hermansen, J. E. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.12.273 · Cited by 110
Metadata
- Authors
- Chaudhary, A., Verones, F., de Baan, L., & Hellweg, S.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2015-07-31
- Volume
- 49
- Issue
- 16
- Pages
- 9987-9995
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2412175981
- Cited by
- 357
- References
- 64
- FWCI
- 19.77
- Type
- journal article
- Language
- en
- Open access
- hybrid
- Funders
- Schweizerische Nationalfonds zur Förderung der Wissenschaftlichen Forschung (136612)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Quantifying Land Use Impacts on Biodiversity: Combining Species–Area Models and Vulnerability Indicators. https://app.cochat.ai/papers/10.1021/acs.est.5b02507
- The paper
- Chaudhary, A., Verones, F., de Baan, L., & Hellweg, S. (2015). Quantifying Land Use Impacts on Biodiversity: Combining Species–Area Models and Vulnerability Indicators. Environmental Science & Technology. https://doi.org/10.1021/acs.est.5b02507
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
