Spatial and temporal variability in stream thermal regime drivers for three river networks during the summer growing season

IF 2.6 4区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL
Matthew R. Fuller, Naomi E. Detenbeck, Peter Leinenbach, Rochelle Labiosa, Daniel Isaak
{"title":"Spatial and temporal variability in stream thermal regime drivers for three river networks during the summer growing season","authors":"Matthew R. Fuller,&nbsp;Naomi E. Detenbeck,&nbsp;Peter Leinenbach,&nbsp;Rochelle Labiosa,&nbsp;Daniel Isaak","doi":"10.1111/1752-1688.13158","DOIUrl":null,"url":null,"abstract":"<p>Many cold water-dependent aquatic organisms are experiencing habitat and population declines from increasing water temperatures. Identifying mechanisms which drive local and regional stream thermal regimes facilitates restoration at ecologically relevant scales. Stream temperatures vary spatially and temporally both within and among river basins. We developed a modeling process to identify statistical relationships between drivers of stream temperature and covariates representing landscape, climate, and management-related processes. The modeling process was tested in three study areas of the Pacific Northwest United States during the growing season (May [start], August [warmest], September [end]). Across all months and study systems, covariates with the highest relative importance represented the physical landscape (elevation [1st], catchment area [3rd], main channel slope [5th]) and climate covariates (mean monthly air temperature [2nd] and discharge [4th]). Two management covariates (groundwater use [6th] and riparian shade [7th]) also had high relative importance. Across the growing season (for all basins), local reach slope had high relative importance in May, but transitioned to a regional main channel slope covariate in August and September. This modeling process identified regionally similar and locally unique relationships among drivers of stream temperature. High relative importance of management-related covariates suggested potential restoration actions for each system.</p>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"60 1","pages":"57-78"},"PeriodicalIF":2.6000,"publicationDate":"2023-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of The American Water Resources Association","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/1752-1688.13158","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

Many cold water-dependent aquatic organisms are experiencing habitat and population declines from increasing water temperatures. Identifying mechanisms which drive local and regional stream thermal regimes facilitates restoration at ecologically relevant scales. Stream temperatures vary spatially and temporally both within and among river basins. We developed a modeling process to identify statistical relationships between drivers of stream temperature and covariates representing landscape, climate, and management-related processes. The modeling process was tested in three study areas of the Pacific Northwest United States during the growing season (May [start], August [warmest], September [end]). Across all months and study systems, covariates with the highest relative importance represented the physical landscape (elevation [1st], catchment area [3rd], main channel slope [5th]) and climate covariates (mean monthly air temperature [2nd] and discharge [4th]). Two management covariates (groundwater use [6th] and riparian shade [7th]) also had high relative importance. Across the growing season (for all basins), local reach slope had high relative importance in May, but transitioned to a regional main channel slope covariate in August and September. This modeling process identified regionally similar and locally unique relationships among drivers of stream temperature. High relative importance of management-related covariates suggested potential restoration actions for each system.

夏季生长季节三个河网的溪流热制度驱动因素的时空变异性
由于水温不断升高,许多依赖冷水的水生生物正经历着栖息地和种群数量的减少。确定驱动当地和区域溪流热系统的机制有助于在生态相关尺度上进行恢复。溪流温度在流域内和流域间都存在时空差异。我们开发了一个建模过程,以确定溪流温度驱动因素与代表景观、气候和管理相关过程的协变量之间的统计关系。建模过程在美国西北太平洋地区的三个研究区域的生长季节(5 月[开始]、8 月[最热]、9 月[结束])进行了测试。在所有月份和研究系统中,相对重要性最高的协变量是自然景观(海拔[第 1 位]、流域面积[第 3 位]、主河道坡度[第 5 位])和气候协变量(月平均气温[第 2 位]和排水量[第 4 位])。两个管理协变量(地下水利用[第 6 位]和河岸遮荫[第 7 位])也具有较高的相对重要性。在整个生长季节(所有流域),当地河段坡度在 5 月具有较高的相对重要性,但在 8 月和 9 月则过渡到区域主河道坡度协变量。这一建模过程确定了溪流温度驱动因素之间的区域相似关系和地方独特关系。与管理相关的协变量的相对重要性较高,表明每个系统都有可能采取恢复行动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of The American Water Resources Association
Journal of The American Water Resources Association 环境科学-地球科学综合
CiteScore
4.10
自引率
12.50%
发文量
100
审稿时长
3 months
期刊介绍: JAWRA seeks to be the preeminent scholarly publication on multidisciplinary water resources issues. JAWRA papers present ideas derived from multiple disciplines woven together to give insight into a critical water issue, or are based primarily upon a single discipline with important applications to other disciplines. Papers often cover the topics of recent AWRA conferences such as riparian ecology, geographic information systems, adaptive management, and water policy. JAWRA authors present work within their disciplinary fields to a broader audience. Our Associate Editors and reviewers reflect this diversity to ensure a knowledgeable and fair review of a broad range of topics. We particularly encourage submissions of papers which impart a ''take home message'' our readers can use.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信