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Future land-use changes and its impacts on terrestrial ecosystem services: A review
Eduardo Gomes1, Miguel Inácio1, Katažyna Bogdzevič1
1Environmental Management Laboratory, Mykolas Romeris University, Vilnius, Lithuania.
The Science of the Total Environment
|April 2, 2021
Summary
Future land use changes threaten ecosystem services (ES). This review synthesizes research on predicting these impacts, highlighting common models and data gaps, especially in external validation for better planning.
Area of Science:
- Environmental Science
- Ecology
- Geospatial Analysis
Background:
- Terrestrial ecosystem services (ES) are significantly impacted by land use and land cover changes (LULCC).
- Drivers of LULCC include economic, social, political, and environmental factors like climate change.
- Anticipating future LULCC is crucial for understanding and mitigating impacts on ES supply.
Purpose of the Study:
- To conduct a systematic bibliographic review of studies projecting future LULCC and their implications on ES supply.
- To identify trends, methodologies, and research gaps in this field.
- To provide insights for scientists and practitioners in land use and ecosystem service research.
Main Methods:
- A rigorous bibliographic review was performed, initially identifying 957 papers.
- A final selection of 79 papers met the inclusion criteria for the review.
- Analysis focused on geographical distribution, modeling techniques, and ES impact assessment methods.
Main Results:
- Studies are concentrated in Asia (55.70%) and Europe (17.72%).
- Predominant LULCC models include Cellular Automata (30.86%), CLUE-S (8.64%), and Land Change Modeler (8.64%).
- InVEST (24.04%) and prior equations (12.5%) are common for ES impact assessment, primarily focusing on provisioning and regulating services. A notable lack of external validation was observed.
Conclusions:
- The review highlights a concentration of research in specific regions and identifies widely used modeling approaches.
- A significant gap exists in the external validation of models assessing future LULCC impacts on ES.
- This synthesis offers valuable insights into the current state of research, guiding future studies and land management practices.
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