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Updated: Jul 20, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Guiding the landscape patterns evolution is the key to mitigating river water quality degradation
Qiyu Xu1, Shufang Guo2, Limei Zhai3
1State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China; Institute of Ecology and Environment, Inner Mongolia University, Hohhot 010021, Inner Mongolia, China.
Landscape pattern evolution significantly impacts river health. Simulating future patterns helps balance land use and water conservation, mitigating river eutrophication and improving water quality.
Area of Science:
- Environmental Science
- Ecology
- Hydrology
Background:
- Landscape pattern evolution significantly impacts river environments.
- Achieving a balance between land resource use and water conservation remains a challenge.
- Predicting river eutrophication requires understanding landscape pattern dynamics.
Purpose of the Study:
- To simulate future landscape patterns and predict river eutrophication levels.
- To analyze landscape pattern evolution and its impact on river eutrophication in the Fengyu River watershed.
- To propose targeted landscape planning for mitigating river water quality degradation.
Main Methods:
- Coupled five water quality parameters (TOC, TN, NO3--N, NH4+-N, TP) to construct the river eutrophication index (EI).
- Utilized redundancy analysis, patch-generating land use simulation, and stepwise multiple linear regression.
- Analyzed landscape patterns and their impact on river eutrophication under different future scenarios.
Main Results:
- Current river eutrophication levels are high, with an EI of 40.7.
- Landscape patterns explained 88.2% of river eutrophication variation; LPI_Con was a critical metric.
- Eutrophication is projected to increase under natural development but decrease under farmland and environmental protection scenarios.
Conclusions:
- River eutrophication is a consequence of unreasonable landscape pattern evolution.
- Guiding landscape pattern evolution based on critical drivers can mitigate water quality degradation.
- Targeted landscape planning is crucial for balancing land use and water conservation.
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