Watershed Ecology and the Environment (WEE) is a multidisciplinary journal publishing original research papers, reviews, and short communications, which improve our knowledge of shifts and adaptations of resources, biodiversity, ecological functions, hydrological and environmental changes under various human disturbance pressures (such as urbanization) and changing climate patterns at a watershed scale or in watersheds. Given that the watershed is a basic geographical unit on Earth, multidisciplinary and integrative understanding at a watershed scale provide a platform for evaluating environmental response to land use and climate change. Knowledge from watershed studies may also provide solutions for environmental change or degradation caused by human disturbances. Therefore, studies and policies for watershed-based management are strongly welcomed.

The journal publishes high-impact contributions on but not limited to:

• Hydrological, ecological, and environmental responses to urbanization, land use/land cover change, agriculture, aquaculture, mining, industry, and environmental accidents.

• Fate, transport, and transformation of water, nutrients, and contaminants (including toxic metals, organic pollutants, and emerging contaminants) in watersheds; contaminant source apportionment and process mechanisms.

• Accounting, modeling, and prediction of carbon emissions from energy activities, industrial processes, land use change, and other human activities within watersheds; watershed-level contributions to regional and global carbon budgets; climate change mitigation and adaptation strategies with a watershed perspective.

• Watershed-based risk assessment for environmental pollution (including carbon-related stressors where applicable) and development of mitigation strategies.

• Integrated management of water, nutrients, contaminants, and carbon emissions; policy instruments, economic mechanisms, and governance frameworks for sustainable watershed development.

• Fundamental and applied research on treatment processes (laboratory to pilot scale) for water and wastewater, with clear relevance to watershed-scale pollution control and management.

• Long-term ecological and environmental monitoring studies; advanced modeling approaches (machine learning, process-based models, integrated assessment models) for watershed environmental prediction and decision support.

Editorial Board