globalchange  > 气候变化与战略
DOI: 10.1016/j.earscirev.2020.103466
论文题名:
Landscape changes and their hydrologic effects: Interactions and feedbacks across scales
作者: Stephens C.M.; Lall U.; Johnson F.M.; Marshall L.A.
刊名: Earth Science Reviews
ISSN: 00128252
出版年: 2021
卷: 212
语种: 英语
英文关键词: anthropogenic effect ; calibration ; catchment ; climate change ; human activity ; hydrological cycle ; literature review ; soil erosion
英文摘要: Human activities have extensively altered landscapes throughout the world and further changes are expected in the future. Anthropogenic impacts such as land use change, groundwater extraction and dam construction, along with the effects of climate change, interact with natural factors including soil weathering and erosion. Together, these processes create a constantly shifting, dynamic terrestrial environment that violates the assumption of stationarity commonly applied in hydrology. Consequently, hydrologists need to rethink both statistical and calibrated models to account for complex environmental processes. We review the literature on human-landscape-hydrological interactions to identify processes and feedbacks that influence water balances. Most of the papers covered consider only a few of these processes at a time and focus on structural attributes of the interactions rather than the short and long-term dynamics. We identify challenges in representing the scale-dependence, environmental connectivity and human-water interactions that characterize complex, dynamic landscapes. A synthesis of the findings posits connections between different landscape changes, as well as the associated timescales and level of certainty. A case study explores how different processes could combine to drive long-term shifts in catchment behavior. Recognizing that some important questions remain unaddressed by traditional approaches, we suggest the concept of ‘big laboratories’ in which multifaceted experiments are conducted in the environment by artificially inducing landscape change. These experiments would be accompanied by mechanistic modeling to both untangle experimental results and improve the theoretical basis of environmental models. An ambitious program of physical and virtual experimentation is needed to progress hydrologic prediction for dynamic landscapes. Plain language summary: The Earth's surface is constantly changing due to human-driven and natural processes. Shifts may be driven by humans directly (e.g. via land use change) or indirectly (e.g. by driving climate change that causes shifts in ecological communities). Other changes are natural, such as certain soil processes that lead to shifts in texture and properties over time. In many places, landscape change is now occurring at unprecedented rates. This impacts the water cycle, creating a need for models that are robust under changing conditions. Our paper synthesizes a wide range of literature on key aspects of landscape change that have wide-ranging implications for hydrology. We focus on the impacts of processes at different spatial and temporal scales, along with feedbacks between various environmental and anthropogenic shifts. We discuss connections between different landscape changes and the timescales over which they each affect the water cycle. A case study is presented to highlight the potential for cascading landscape disturbances that could alter long-term catchment response. Recognizing limitations in traditional data collection and modeling, we introduce the concept of ‘big laboratories’ to conduct environmental experiments under landscape change, providing an avenue for addressing the complex questions around hydrology in a changing world. © 2020 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/166510
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作者单位: Water Research Centre, School of Civil and Environmental Engineering, UNSW SydneyNSW 2052, Australia; Department of Earth and Environmental Engineering, Columbia University, New York, NY 10027, United States

Recommended Citation:
Stephens C.M.,Lall U.,Johnson F.M.,et al. Landscape changes and their hydrologic effects: Interactions and feedbacks across scales[J]. Earth Science Reviews,2021-01-01,212
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