Journal article
Simulating 2368 temperate lakes reveals weak coherence in stratification phenology
Ecological modelling, Vol.291, pp.142-150
11/10/2014
DOI: 10.1016/j.ecolmodel.2014.07.029
Abstract
•We mechanistically modeled the responses of 2368 lakes to regional climate.•The modeling framework developed uses standards for web processing and data transfer.•Among-lake coherence was strong for surface temperatures and weak for stratification.•Lake stratification responses to climate change were complex and diverse.•Important thermal habitat variability was revealed by modeling diverse lakes.
Changes in water temperatures resulting from climate warming can alter the structure and function of aquatic ecosystems. Lake-specific physical characteristics may play a role in mediating individual lake responses to climate. Past mechanistic studies of lake–climate interactions have simulated generic lake classes at large spatial scales or performed detailed analyses of small numbers of real lakes. Understanding the diversity of lake responses to climate change across landscapes requires a hybrid approach that couples site-specific lake characteristics with broad-scale environmental drivers. This study provides a substantial advancement in lake ecosystem modeling by combining open-source tools with freely available continental-scale data to mechanistically model daily temperatures for 2368 Wisconsin lakes over three decades (1979–2011). The model accurately predicted observed surface layer temperatures (RMSE: 1.74°C) and the presence/absence of stratification (81.1% agreement). Among-lake coherence was strong for surface temperatures and weak for the timing of stratification, suggesting individual lake characteristics mediate some – but not all – ecologically relevant lake responses to climate.
Details
- Title: Subtitle
- Simulating 2368 temperate lakes reveals weak coherence in stratification phenology
- Creators
- Jordan S Read - Center for Integrated Data Analytics, U.S. Geological Survey, Middleton, WI, USALuke A Winslow - Center for Limnology, University of Wisconsin - Madison, Madison, WI, USAGretchen J.A Hansen - Center for Limnology, University of Wisconsin - Madison, Madison, WI, USAJamon Van Den Hoek - NASA Goddard Space Flight Center, Biospheric Sciences Branch, Code 618.0, Greenbelt, MD, USAPaul C Hanson - Center for Limnology, University of Wisconsin - Madison, Madison, WI, USALouise C Bruce - School of Earth & Environment, The University of Western Australia, Perth, AustraliaCorey D Markfort - IIHR-Hydroscience and Engineering, Civil and Environmental Engineering, The University of Iowa, Iowa City, IA, USA
- Resource Type
- Journal article
- Publication Details
- Ecological modelling, Vol.291, pp.142-150
- DOI
- 10.1016/j.ecolmodel.2014.07.029
- ISSN
- 0304-3800
- eISSN
- 1872-7026
- Publisher
- Elsevier B.V
- Grant note
- DOI: 10.13039/100000203, name: U.S. Geological Survey; DOI: 10.13039/501100000930, name: NSF; DOI: 10.13039/100004946, name: Department of Natural Resources; DOI: 10.13039/100000203, name: U.S. Geological Survey; DOI: 10.13039/501100000930, name: NSF
- Language
- English
- Date published
- 11/10/2014
- Academic Unit
- Civil and Environmental Engineering; Mechanical Engineering
- Record Identifier
- 9983992039202771
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