globalchange  > 科学计划与规划
DOI: 10.1002/2015GL066888
论文题名:
Estimating time-dependent connectivity in marine systems
作者: Defne Z.; Ganju N.K.; Aretxabaleta A.
刊名: Geophysical Research Letters
ISSN: 0094-9378
EISSN: 1944-9109
出版年: 2016
卷: 43, 期:3
起始页码: 1193
结束页码: 1201
语种: 英语
英文关键词: Lagrangian transport ; larval dispersal ; marine connectivity ; mass exchange
Scopus关键词: Clocks ; Conservation ; Different time scale ; Lagrangian transport ; larval dispersal ; Marine connectivity ; Mass exchange ; Multi-temporal analysis ; Sources and destinations ; Three-dimensional problems ; Ecosystems ; biological method ; connectivity ; ecological modeling ; estimation method ; hydrodynamics ; Lagrangian analysis ; larval transport ; marine ecosystem ; time dependent behavior ; Barnegat Bay ; New Jersey ; United States
英文摘要: Hydrodynamic connectivity describes the sources and destinations of water parcels within a domain over a given time. When combined with biological models, it can be a powerful concept to explain the patterns of constituent dispersal within marine ecosystems. However, providing connectivity metrics for a given domain is a three-dimensional problem: two dimensions in space to define the sources and destinations and a time dimension to evaluate connectivity at varying temporal scales. If the time scale of interest is not predefined, then a general approach is required to describe connectivity over different time scales. For this purpose, we have introduced the concept of a "retention clock" that highlights the change in connectivity through time. Using the example of connectivity between protected areas within Barnegat Bay, New Jersey, we show that a retention clock matrix is an informative tool for multitemporal analysis of connectivity. © 2016. American Geophysical Union. All Rights Reserved.
URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959421144&doi=10.1002%2f2015GL066888&partnerID=40&md5=8910c6c214e87357930e0dedfa195227
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/10341
Appears in Collections:科学计划与规划
气候变化与战略

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作者单位: U.S. Geological Survey, Woods Hole, MA, United States

Recommended Citation:
Defne Z.,Ganju N.K.,Aretxabaleta A.. Estimating time-dependent connectivity in marine systems[J]. Geophysical Research Letters,2016-01-01,43(3).
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