| 项目编号: | 1517823
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| 项目名称: | CNH-L: Linking Land-Use Decision Making, Water Quality, and Lake Associations to Understand Human-Natural Feedbacks in Lake Catchments |
| 作者: | Kelly Cobourn
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| 承担单位: | Virginia Polytechnic Institute and State University
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| 批准年: | 2016
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| 开始日期: | 2016-01-01
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| 结束日期: | 2018-12-31
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| 资助金额: | 1799931
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| 资助来源: | US-NSF
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| 项目类别: | Standard Grant
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| 国家: | US
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| 语种: | 英语
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| 特色学科分类: | Geosciences - Integrative and Collaborative Education and Research
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| 英文关键词: | lake water quality
; lake system
; u. s. lake system
; lake ecosystem
; freshwater lakes
; lake catchment
; citizen-driven lake association
; lake environment
; lake catchment representative
; lake water
; other lake
; linkage
; human-natural system dynamics
; human-natural
; people
; result
; relationship
; policy
; land management
; harmful algal bloom
; project
; essential management variable
; human activity
; nutrient flux
; limnological process
; local community
; land use
; valuable natural system
; world benefit
; water quality change
; critical driver
; behavioral change
; drinking water
; water quality metric
; novel coupling framework
; collective action
; critical service
; property value
; nutrient load
; complementary activity
; water quality
; human decision
; continental-scale gradient
; land-use decision
; natural system
; natural system model
; statistical approach
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| 英文摘要: | People around the world benefit greatly from the critical services provided by freshwater lakes, such as drinking water, recreation, and fisheries. However, human activities can contribute to pollution and the growth of harmful algal blooms that degrade the lake waters that people rely upon and enjoy. This can generate a strong incentive for behavioral change. For example, citizen-driven lake associations often form in response to deteriorating water quality, and are becoming increasingly effective in driving changes in land management and policies that greatly improve lake environments.
This project examines the linkages between land use, lake water quality, and local communities in three contrasting U.S. lake systems. Insights from these lake systems will in turn inform the study of human-natural system dynamics across thousands of other lakes throughout the northeastern and midwestern U.S. An understanding of these relationships and feedbacks will help inform the development of effective programs and policies to protect and enhance lake water quality.
This project investigates the nature and extent of linkages among human and natural systems in lake catchments. The project will develop a novel coupling framework that links process-based human and natural system models to trace the effects of land-use decisions on nutrient fluxes through lake ecosystems; represent how hydrological and limnological processes transform nutrient loads into changes in the water quality metrics valued by people; and determine how water quality changes feed back into human decision making by affecting property values and collective action by citizen groups. For three contrasting catchments in the northeastern and midwestern U.S., the project explores these linkages by deriving essential management variables that describe the critical drivers of human-natural system dynamics and the relationships between those drivers. These results provide an integrated foundation for a suite of statistical approaches that will be used to scale up and extrapolate the results to a diverse set of lake catchments representative of continental-scale gradients. These complementary activities will generate insight into broad-scale human-natural system dynamics, extending scientific understanding to enhance decision making to protect the valuable natural systems provided by lakes. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/92938
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| Appears in Collections: | 全球变化的国际研究计划
科学计划与规划
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| Recommended Citation: | |
Kelly Cobourn. CNH-L: Linking Land-Use Decision Making, Water Quality, and Lake Associations to Understand Human-Natural Feedbacks in Lake Catchments. 2016-01-01.
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