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Methods of Soil Resampling to Monitor Changes in the Chemical Concentrations of Forest Soils
Published on: November 25, 2016
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Global analysis of streamflow response to forest management
Jaivime Evaristo1, Jeffrey J McDonnell2,3,4
1Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, The Netherlands. j.evaristo@uu.nl.
Nature
|June 19, 2019
Summary
Understanding how forest management affects streamflow is crucial for water resource management. Landscape water storage is key for predicting streamflow response to forest removal, while water loss via evapotranspiration is critical for predicting response to forest planting.
Area of Science:
- Hydrology
- Forestry
- Environmental Science
Background:
- Predicting streamflow response to forest management is vital for sustainable water resource regulation.
- Previous studies on forest cover changes have produced inconsistent and unpredictable results.
Purpose of the Study:
- To assess factors controlling streamflow response to forest planting and removal globally.
- To develop a model explaining forest impacts on water yield.
Main Methods:
- Compiled a comprehensive, spatially distributed database of forest management studies worldwide.
- Introduced a vegetation-to-bedrock model incorporating seven key landscape factors.
Main Results:
- Landscape water storage emerged as the primary predictor for streamflow response to forest removal.
- Water loss through evapotranspiration was the most significant factor for predicting streamflow response to forest planting.
Conclusions:
- Findings inform model parameterizations for climate change mitigation strategies like afforestation and deforestation.
- Provides insights for sustainable water resource management across diverse geologic and climate regions.
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