Influence of landscape and hydrological factors on stream-air temperature relationships at regional scale

被引:28
作者
Beaufort, Aurelien [1 ,2 ]
Moatar, Florentina [2 ]
Sauquet, Eric [2 ]
Loicq, Pierre [1 ]
Hannah, David M. [3 ]
机构
[1] Univ Francois Rabelais Tours, EA GeHCO Geohydrosyst Continentaux 6293, Parc Grandmont, F-37200 Tours, France
[2] Ctr Lyon Villeurbanne, Irstea, UR RiverLy, CS 20244, 5 Rue Doua, F-69625 Villeurbanne, France
[3] Univ Birmingham Edgbaston, Sch Geog Earth & Environm Sci, Birmingham B15 2TT, W Midlands, England
关键词
CART method; classification; regional scale; stream temperature; thermal sensitivity; RIVER WATER TEMPERATURE; CLIMATE-CHANGE; THERMAL REGIMES; LOIRE RIVER; HEAT EXCHANGES; MODEL; BASIN; SENSITIVITY; AQUIFER; CLASSIFICATION;
D O I
10.1002/hyp.13608
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Identifying the main controlling factors of the stream temperature (Tw) variability is important to target streams sensitive to climate and other drivers of change. The thermal sensitivity (TS), based on relationship between air temperature (Ta) and Tw, of a given stream can be used for quantifying the streams sensitivity to future climate change. This study aims to compare TS for a wide range of temperate streams located within a large French catchment (110,000 km(2)) using 4 years of hourly data (2008-2012) and to cluster stations sharing similar thermal variabilities and thereby identify environmental key drivers that modify TS at the regional scale. Two successive classifications were carried out: (a) first based on Ta-Tw relationship metrics including TS and (b) second to establish a link between a selection of environmental variables and clusters of stations. Based on weekly Ta-Tw relationships, the first classification identified four thermal regimes with differing annual Tw in terms of magnitude and amplitudes in comparison with Ta. The second classification, based on classification and regression tree method, succeeded to link each thermal regime to different environmental controlling factors. Streams influenced by both groundwater inflows and shading are the most moderated with the lowest TS and an annual amplitude of Tw around half of the annual amplitude of Ta. Inversely, stations located on large streams with a high distance from source and not (or slightly) influenced by groundwater inflows nor shading showed the highest TS, and so, they are very climate sensitive. These findings have implications for guiding river basin managers and other stakeholders in implementing thermal moderation measures in the context of a warming climate and global change.
引用
收藏
页码:583 / 597
页数:15
相关论文
共 80 条
[31]   Heat exchanges and temperatures within a salmon spawning stream in the cairngorms, Scotland: Seasonal and sub-seasonal dynamics [J].
Hannah, DM ;
Malcolm, IA ;
Soulsby, C ;
Youngson, AF .
RIVER RESEARCH AND APPLICATIONS, 2004, 20 (06) :635-652
[32]   Cluster-wise assessment of cluster stability [J].
Hennig, Christian .
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2007, 52 (01) :258-271
[33]   Thermal regimes in a large upland salmon river: a simple model to identify the influence of landscape controls and climate change on maximum temperatures [J].
Hrachowitz, Markus ;
Soulsby, C. ;
Imholt, C. ;
Malcolm, I. A. ;
Tetzlaff, D. .
HYDROLOGICAL PROCESSES, 2010, 24 (23) :3374-3391
[34]   INFLUENCE OF SCALE ON THERMAL CHARACTERISTICS IN A LARGE MONTANE RIVER BASIN [J].
Imholt, C. ;
Soulsby, C. ;
Malcolm, I. A. ;
Hrachowitz, M. ;
Gibbins, C. N. ;
Langan, S. ;
Tetzlaff, D. .
RIVER RESEARCH AND APPLICATIONS, 2013, 29 (04) :403-419
[35]  
Institute of Hydrology, 1980, 1 I HYDR
[36]   The NorWeST Summer Stream Temperature Model and Scenarios for the Western US: A Crowd-Sourced Database and New Geospatial Tools Foster a User Community and Predict Broad Climate Warming of Rivers and Streams [J].
Isaak, Daniel J. ;
Wenger, Seth J. ;
Peterson, Erin E. ;
Ver Hoef, Jay M. ;
Nagel, David E. ;
Luce, Charles H. ;
Hostetler, Steven W. ;
Dunham, Jason B. ;
Roper, Brett B. ;
Wollrab, Sherry P. ;
Chandler, Gwynne L. ;
Horan, Dona L. ;
Parkes-Payne, Sharon .
WATER RESOURCES RESEARCH, 2017, 53 (11) :9181-9205
[37]   Effects of climate change and wildfire on stream temperatures and salmonid thermal habitat in a mountain river network [J].
Isaak, Daniel J. ;
Luce, Charles H. ;
Rieman, Bruce E. ;
Nagel, David E. ;
Peterson, Erin E. ;
Horan, Dona L. ;
Parkes, Sharon ;
Chandler, Gwynne L. .
ECOLOGICAL APPLICATIONS, 2010, 20 (05) :1350-1371
[38]   A hypothesis about factors that affect maximum summer stream temperatures across montane landscapes [J].
Isaak, DJ ;
Hubert, WA .
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 2001, 37 (02) :351-366
[39]   Development of spatial regression models for predicting summer river temperatures from landscape characteristics: Implications for land and fisheries management [J].
Jackson, F. L. ;
Hannah, David M. ;
Fryer, R. J. ;
Millar, C. P. ;
Malcolm, I. A. .
HYDROLOGICAL PROCESSES, 2017, 31 (06) :1225-1238
[40]   A novel approach for designing large-scale river temperature monitoring networks [J].
Jackson, F. L. ;
Malcolm, I. A. ;
Hannah, David M. .
HYDROLOGY RESEARCH, 2016, 47 (03) :569-590