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EDITORIAL article

Front. Environ. Sci., 10 July 2024
Sec. Interdisciplinary Climate Studies
This article is part of the Research Topic Watershed Environmental Changes and Adaptive Management for Sustainability View all 9 articles

Editorial: Watershed environmental changes and adaptive management for sustainability

  • 1Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, China
  • 2Guangdong Basic Research Center of Excellence for Ecological Security and Green Development, Guangdong University of Technology, Guangzhou, China
  • 3State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, China
  • 4Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States

Water and environmental sustainability in watersheds are challenged by climate change and human interference, which presents a global issue that concerns scientists, policymakers, and the public. Climate and land use changes significantly affect hydrological processes and water resources within watersheds. Increasing demands for human water usage exacerbate stress on water resources, heightening competition between human needs and ecosystem requirements in heavily managed watersheds. Meanwhile, water and environmental sustainability in watersheds are threatened by eutrophication and emerging pollutants. Altered hydrological and hydrodynamic processes complicate pollutant dynamics, which further lead to risks in water quality and ecosystem health. Understanding the feedback of watershed ecosystem to environmental changes is significant for ensuring ecological security.

This research topic aims to address watershed environmental changes under multiple disturbances and adaptive management for watershed sustainability. Specifically, interdisciplinary research is needed to analyze the dynamics and underlying mechanisms of watershed hydrology, water quality, and ecology. Interactions and feedbacks of processes within the natural system (i.e., interactions among hydrological, environmental, and ecological processes) and among the natural and social systems further complicate the water problems in a watershed and require further investigations. As a result, the complexity and uncertainty associated with climatic change and human activities call for adaptive management approaches that can be used to adapt watershed management actions over time in response to changes in system drivers. Moreover, it is significant to manage watersheds from a system’s perspective and promote integrated watershed management in the context of environmental change.

This research topic collects eight original research papers. These papers explore watershed environmental changes and sustainable management worldwide by investigating the impact of climate and land use changes on watershed hydrological and pollutant transport processes and overall watershed sustainability. Jarrin-Perez et al. enhanced the Soil and Water Assessment Tool (SWAT) model to simulate runoff as saturation-excess overland flow in neotropical alpine catchments with conductive soils. The model can be adapted to paramo catchments to explore the hydrological variations caused by climate and land use changes. Chen et al. investigated the impact of land use modes on nitrogen (N) and phosphorus (P) contents in soil and water in an agricultural basin in China. Nutrients in two sub-catchments with different land use compositions and spatial layouts were compared. It was found that the interplanted mulberry and paddy fields effectively reduced the N and P outputs of surface runoff. Li et al. adopted an epsilon-based measure model to analyze the spatio-temporal evolution of the eco-efficiency in cultivated land use in the region around Beijing–Tianjin, China, providing fresh insights for the sustainable use of arable land to enhance food and ecological security. In addition, Meng et al. conducted a global-scale study that clarified the zoning and evolution of various environmentally oriented watershed sustainable development issues, offering a new perspective on the interplay between watershed sustainability, environmental change, and human impacts.

To pursue watershed sustainability, it is significant to assess the adaptability of watershed management strategies to environmental changes and implement adaptive management. Huang and Chen developed a machine learning prediction model for the hourly scale water temperature of reservoir discharge, which can support short-term water temperature forecasting and reservoir operation to manage discharge water temperature under climate change. Kim et al. employed the SWAT model to analyze the efficiency of two best management practices in reducing nutrients in a watershed under future climate scenarios. The study emphasized the adaptability and reliability of nature-based solutions in nutrient pollution control under a changing climate. Liu et al. constructed the ecological security pattern in the Songnen Plain of China and proposed multiple spatial pattern optimization strategies, which are helpful in coordinating the relationship between socioeconomic development and environmental protection. McLellan et al. proposed a generalized framework for assessing and improving ecosystem health in highly altered watersheds. This approach helps identify and reduce ecosystem stressors, thereby improving ecosystem functions and resilience to disturbances.

In summary, this research topic presents the most recent progress on watershed environmental changes and management worldwide. Given the dynamics and uncertain nature of the environment, we call for increased efforts in watershed monitoring, assessment, and adaptation under environmental changes. These studies are crucial for addressing and downscaling United Nations (UN)’ sustainable development goals (SDGs) at the watershed scale, ensuring long-term sustainability via practical approaches. Such studies could leverage advanced data and artificial intelligence (AI) techniques to facilitate the mapping, understanding, and modeling of watershed responses to environmental change, using data not only from traditional gauging and measurement methods but also from alternative data sources such as social media and crowdsourcing participants.

Author contributions

ZX: writing–original draft. PY: writing–review and editing. XY: writing–review and editing. XC: writing–review and editing.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research topic was supported by the National Natural Science Foundation of China (Nos 52239005, 52388101, and 52279059).

Acknowledgments

The authors appreciate all reviewers, journal editors, and authors for their valuable contributions to this Research Topic.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: climate change, human impact, environmental sustainability, watershed hydrology, water quality, ecological security, integrated watershed management

Citation: Xu Z, Yang P, Yin X and Cai X (2024) Editorial: Watershed environmental changes and adaptive management for sustainability. Front. Environ. Sci. 12:1455906. doi: 10.3389/fenvs.2024.1455906

Received: 27 June 2024; Accepted: 28 June 2024;
Published: 10 July 2024.

Edited and reviewed by:

Hayley Jane Fowler, Newcastle University, United Kingdom

Copyright © 2024 Xu, Yang, Yin and Cai. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Pan Yang, cHlhbmdhY0BnZHV0LmVkdS5jbg==

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.