Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020WR028496 |
Combining hydrologic simulations and stream‐network models to reveal flow‐ecology relationships in a large Alpine catchment | |
Stefano Larsen; Bruno Majone; Patrick Zulian; Elisa Stella; Alberto Bellin; Maria Cristina Bruno; Guido Zolezzi | |
2021-03-10 | |
发表期刊 | Water Resources Research
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出版年 | 2021 |
英文摘要 | Flow regimes profoundly influence river organisms and ecosystem functions, but regulatory approaches often lack the scientific basis to support sustainable water allocation. In part, this reflects the challenge of understanding the ecological effects of flow variability over different temporal and spatial domains. Here, we use a process‐based distributed hydrological model to simulate 23 years of natural flow regime in 100 bioassessment sites across the Adige River network (NE Italy), and to identify typical nivo‐glacial, nivo‐pluvial, and pluvial reaches. We then applied spatial stream‐network models (SSN) to investigate the relationships between hydrologic and macroinvertebrate metrics while accounting for network spatial autocorrelation and local habitat conditions. Macroinvertebrate metrics correlated most strongly with summer, winter and temporal variation in streamflow, but effects varied across flow regime types. For example: i) taxon richness appeared limited by high summer flows and high winter flows in nivo‐glacial and pluvial streams, respectively; ii) invertebrate grazers increased proportionally with the annual coefficient of flow variation in nivo‐glacial streams but tended to decline with flow variation in pluvial streams. Although local land‐use and water quality also affected benthic communities, most variation in macroinvertebrate metrics was associated with spatial autocorrelation. These findings highlight the importance of developing environmental flow management policies in ways that reflect specific hydro‐ecological and land use contexts. Our analyses also illustrate the importance of spatially‐explicit approaches that account for auto‐correlation when quantifying flow‐ecology relationships. This article is protected by copyright. All rights reserved. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/318626 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Stefano Larsen,Bruno Majone,Patrick Zulian,等. Combining hydrologic simulations and stream‐network models to reveal flow‐ecology relationships in a large Alpine catchment[J]. Water Resources Research,2021. |
APA | Stefano Larsen.,Bruno Majone.,Patrick Zulian.,Elisa Stella.,Alberto Bellin.,...&Guido Zolezzi.(2021).Combining hydrologic simulations and stream‐network models to reveal flow‐ecology relationships in a large Alpine catchment.Water Resources Research. |
MLA | Stefano Larsen,et al."Combining hydrologic simulations and stream‐network models to reveal flow‐ecology relationships in a large Alpine catchment".Water Resources Research (2021). |
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