The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Impact of land use and climate change on water-related ecosystem services in Kentucky, USA
Open accessAbstract
Abstract Policy-makers are interested in knowing the relative importance and combined effects of land use and climate change on ecosystem services. However, knowledge of how to identify these relationships is still lacking. This study aims to provide a comprehensive assessment of water-related ecosystem services and to improve understanding of how they are impacted by land use and climate change in Kentucky, USA. By using InVEST models and environmental setting scenarios, this study first quantifies water-related ecosystem services in a spatially explicit manner. The effects of land use and climate change on these ecosystem services are assessed using two indicators developed in this study. The results show that at the state scale, climate change has a greater impact than land use on water retention, but land use change has a greater impact on soil retention, nitrogen export, and phosphorus export. Climate and land use change have a significant inhibitory effect on water retention, nitrogen export, and phosphorus export. The relative importance and combined influences of land use and climate change also depend on the scale and landscape composition. Unraveling the drivers of ecosystem services in the context of global change can provide critical knowledge for developing practical policy and land management applications.
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
A globally coherent fingerprint of climate change impacts across natural systems
Parmesan, C., & Yohe, G. (2003) · Nature · doi:10.1038/nature01286 · Cited by 11,265
Ecosystems and Human Well-being: Synthesis
Assessment, M. E. (2005) · Island Press · doi:10.5281/zenodo.18167309 · Cited by 10,665
Nelson, E., Mendoza, G., Regetz, J., Polasky, S., Tallis, H., Cameron, D., Chan, K. M., Daily, G. C., Goldstein, J., Kareiva, P. M., et al. (2009) · Frontiers in Ecology and the Environment · doi:10.1890/080023 · Cited by 2,389
Time‐lag effects of global vegetation responses to climate change
Wu, D., Zhao, X., Liang, S., Zhou, T., Huang, K., Tang, B., & Zhao, W. (2015) · Global Change Biology · doi:10.1111/gcb.12945 · Cited by 1,050
Bringing Ecosystem Services into Economic Decision-Making: Land Use in the United Kingdom
Bateman, I. J., Harwood, A. R., Mace, G. M., Watson, R. T., Abson, D. J., Andrews, B., Binner, A., Crowe, A., Day, B. H., Dugdale, S., et al. (2013) · Science · doi:10.1126/science.1234379 · Cited by 1,031
Ecoregions of the Conterminous United States: Evolution of a Hierarchical Spatial Framework
Omernik, J. M., & Griffith, G. E. (2014) · Environmental Management · doi:10.1007/s00267-014-0364-1 · Cited by 1,003
Kemp, R., & Pontoglio, S. (2011) · Ecological Economics · doi:10.1016/j.ecolecon.2011.09.014 · Cited by 558
Kindu, M., Schneider, T., Teketay, D., & Knoke, T. (2016) · Science of The Total Environment · doi:10.1016/j.scitotenv.2015.12.127 · Cited by 554
Change in ecosystem service values in the San Antonio area, Texas
Kreuter, U. P., Harris, H. G., Matlock, M. D., & Lacey, R. E. (2001) · Ecological Economics · doi:10.1016/s0921-8009(01)00250-6 · Cited by 553
Ecosystem services classification: A systems ecology perspective of the cascade framework
La Notte, A., D’Amato, D., Mäkinen, H., Paracchini, M. L., Liquete, C., Egoh, B., Geneletti, D., & Crossman, N. D. (2017) · Ecological Indicators · doi:10.1016/j.ecolind.2016.11.030 · Cited by 473
Cited by
Tang, F., Zhou, X., Wang, L., Zhang, Y., Fu, M., & Zhang, P. (2021) · Land · doi:10.3390/land10090919 · Cited by 54
Metadata
- Authors
- Bai, Y., Ochuodho, T. O., & Yang, J.
- Venue
- Ecological Indicators
- Publisher
- Elsevier BV
- Published
- 2019-07
- Volume
- 102
- Pages
- 51-64
- ISSN
- 1470-160X (ISSN-L)
- OpenAlex
- W2916139368
- Cited by
- 429
- References
- 38
- FWCI
- 23.83
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Impact of land use and climate change on water-related ecosystem services in Kentucky, USA. https://app.cochat.ai/papers/10.1016/j.ecolind.2019.01.079
- The paper
- Bai, Y., Ochuodho, T. O., & Yang, J. (2019). Impact of land use and climate change on water-related ecosystem services in Kentucky, USA. Ecological Indicators. https://doi.org/10.1016/j.ecolind.2019.01.079
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.