Advancing ecohydrology in the 21st century: A convergence of opportunities

被引：43

作者：

Guswa, Andrew J. ^{[1
]}

Tetzlaff, Doerthe ^{[2
,3
]}

Selker, John S. ^{[4
]}

Carlyle-Moses, Darryl E. ^{[5
]}

Boyer, Elizabeth W. ^{[6
]}

Bruen, Michael ^{[7
]}

Cayuela, Carles ^{[8
]}

Creed, Irena F. ^{[9
]}

van de Giesen, Nick ^{[10
]}

Grasso, Domenico ^{[11
]}

Hannah, David M. ^{[12
]}

Hudson, Janice E. ^{[13
]}

Hudson, Sean A. ^{[13
]}

Iida, Shin'ichi ^{[14
]}

Jackson, Robert B. ^{[15
,16
]}

Katul, Gabriel G. ^{[17
]}

Kumagai, Tomo'omi ^{[18
]}

Llorens, Pilar ^{[8
]}

Lopes Ribeiro, Flavio ^{[19
]}

Michalzik, Beate ^{[20
]}

Nanko, Kazuki ^{[14
]}

Oster, Christopher ^{[21
]}

Pataki, Diane E. ^{[22
]}

Peters, Catherine A. ^{[23
]}

Rinaldo, Andrea ^{[24
]}

Sanchez Carretero, Daniel ^{[25
]}

Trifunovic, Branimir ^{[26
]}

Zalewski, Maciej ^{[27
,28
]}

Haagsma, Marja ^{[4
]}

Levia, Delphis F. ^{[13
,26
]}

机构：

[1] Smith Coll, Picker Engn Program, Northampton, MA 01063 USA

[2] Leibniz Inst Freshwater Ecol & Inland Fisheries, Berlin, Germany

[3] Humboldt Univ, Dept Geog, Berlin, Germany

[4] Oregon State Univ, Dept Biol & Ecol Engn, Corvallis, OR 97331 USA

[5] Thompson Rivers Univ, Dept Geog & Environm Studies, Kamloops, BC, Canada

[6] Penn State Univ, Dept Ecosyst Sci & Management, University Pk, PA 16802 USA

[7] Univ Coll Dublin, Sch Civil Engn, Dublin, Ireland

[8] IDAEA CSIC, Inst Environm Assessment & Water Res, Barcelona, Spain

[9] Univ Saskatchewan, Sch Environm & Sustainabil, Saskatoon, SK, Canada

[10] Delft Univ Technol, Fac Civil Engn & Geosci, Delft, Netherlands

[11] Univ Michigan, Off Chancellor, Dearborn, MI USA

[12] Univ Birmingham, Sch Geog Earth & Environm Sci, Birmingham, W Midlands, England

[13] Univ Delaware, Dept Geog & Spatial Sci, Newark, DE 19716 USA

[14] Forestry & Forest Prod Res Inst, Dept Disaster Prevent Meteorol & Hydrol, Tsukuba, Ibaraki, Japan

[15] Stanford Univ, Woods Inst Environm, Dept Earth Syst Sci, Stanford, CA 94305 USA

[16] Stanford Univ, Precourt Inst Energy, Stanford, CA 94305 USA

[17] Duke Univ, Nicholas Sch Environm, Durham, NC 27708 USA

[18] Univ Tokyo, Grad Sch Agr & Life Sci, Tokyo, Japan

[19] Univ Delaware, Disaster Res Ctr, Newark, DE USA

[20] Friedrich Schiller Univ Jena, Inst Geog, Jena, Germany

[21] Univ Delaware, Biden Sch Publ Policy, Newark, DE USA

[22] Univ Utah, Sch Biol Sci, Salt Lake City, UT USA

[23] Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA

[24] Ecole Polytech Fed Lausanne, Lab Ecohydrol, Lausanne, Switzerland

[25] Univ Delaware, Dept Civil & Environm Engn, Newark, DE USA

[26] Univ Delaware, Dept Plant & Soil Sci, Newark, DE 19717 USA

[27] Univ Lodz, UNESCO, European Reg Ctr Ecohydrol, Lodz, Poland

[28] Univ Lodz, Dept Appl Ecol, Lodz, Poland

来源：

ECOHYDROLOGY | 2020年 / 13卷 / 04期

关键词：

environmental sensing; measurement; machine learning; modelling; interception; critical zone processes; land use; streamflow; RAINFALL INTERCEPTION LOSS; ECOSYSTEM SERVICES; WATER STORAGE; DROP SIZE; TIME DISTRIBUTIONS; FOREST; CATCHMENT; PRECIPITATION; CANOPY; MODEL;

D O I：

10.1002/eco.2208

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

Nature-based solutions for water-resource challenges require advances in the science of ecohydrology. Current understanding is limited by a shortage of observations and theories that can further our capability to synthesize complex processes across scales ranging from submillimetres to tens of kilometres. Recent developments in environmental sensing, data, and modelling have the potential to drive rapid improvements in ecohydrological understanding. After briefly reviewing advances in sensor technologies, this paper highlights how improved measurements and modelling can be applied to enhance understanding of the following ecohydrological examples: interception and canopy processes, root uptake and critical zone processes, and up-scaled effects of land use on streamflow. Novel and improved sensors will enable new questions and experiments, while machine learning and empirical methods provide additional opportunities to advance science. The synergy resulting from the convergence of these parallel developments will provide new insight into ecohydrological processes and thereby help identify nature-based solutions to address water-resource challenges in the 21st century.

引用

页数：14

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