The land-use legacy effect: Towards a mechanistic understanding of time-lagged water quality responses to land use/cover

被引:35
作者
Martin, Sherry L. [1 ]
Hayes, Daniel B. [2 ]
Kendall, Anthony D. [1 ]
Hyndman, David W. [1 ]
机构
[1] Michigan State Univ, Dept Earth & Environm Sci, E Lansing, MI 48824 USA
[2] Michigan State Univ, Dept Fisheries & Wildlife, E Lansing, MI 48824 USA
基金
美国海洋和大气管理局;
关键词
Groundwater delivery; Riparian dynamics; Landscape change; MODFLOW; Limnology; Nutrients; LANDSCAPE POSITION; NITROGEN; PHOSPHORUS; MODELS; RETENTION; COVER; GROUNDWATER; INDICATORS; MANAGEMENT; TRANSPORT;
D O I
10.1016/j.scitotenv.2016.11.158
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Numerous studies have linked land use/land cover (LULC) to aquatic ecosystem responses, however only a few have included the dynamics of changing LULC in their analysis. In this study, we explicitly recognize changing LULC by linking mechanistic groundwater flow and travel time models to a historical time series of LULC, creating a land-use legacy map. We then illustrate the utility of legacy maps to explore relationships between dynamic LULC and lake water chemistry. We tested two main concepts about mechanisms linking LULC and lake water chemistry: groundwater pathways are an important mechanism driving legacy effects; and, LULC over multiple spatial scales is more closely related to lake chemistry than LULC over a single spatial scale. We applied statistical models to twelve water chemistry variables, ranging from nutrients to relatively conservative ions, to better understand the roles of biogeochemical reactivity and solubility on connections between LULC and aquatic ecosystem response. Our study illustrates how different areas can have long groundwater pathways that represent different LULC than what can be seen on the landscape today. These groundwater pathways delay the arrival of nutrients and other water quality constituents, thus creating a legacy of historic land uses that eventually reaches surface water. We find that: 1) several water chemistry variables are best fit by legacy LULC while others have a stronger link to current LULC, and 2) single spatial scales of LULC analysis performed worse for most variables. Our novel combination of temporal and spatial scales was the best overall model fit for most variables, including SRP where this model explained 54% of the variation. We show that it is important to explicitly account for temporal and spatial context when linking LULC to ecosystem response. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:1794 / 1803
页数:10
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