Predicting the resilience and recovery of aquatic systems: A framework for model evolution within environmental observatories

Water Resources Research

Volumn 51, Issue 9, 2015, Pages 7023-7043

  Hipsey, Matthew R ^a   Hamilton, David P ^b   Hanson, Paul C ^c   Carey, Cayelan C ^d   Coletti, Janaine Z ^a   Read, Jordan S ^e   Ibelings, Bas W ^f   Valesini, Fiona J ^g   Brookes, Justin D ^h  

^a UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

^b UNIVERSITY OF WAIKATO   (New Zealand)

^c UNIVERSITY OF WISCONSIN MADISON   (United States)

^d VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^e U S GEOLOGICAL SURVEY   (United States)

^f UNIVERSITY OF GENEVA   (Switzerland)

^g MURDOCH UNIVERSITY   (Australia)

^h UNIVERSITY OF ADELAIDE   (Australia)

Author keywords

aquatic ecosystem; biogeochemistry; data assimilation; ecosystem services; model learning; network science; resilience; sensor networks; sustainable management; water quality

Indexed keywords

AQUATIC ECOSYSTEMS; BIOGEOCHEMISTRY; COMPLEX NETWORKS; ECOLOGY; ECOSYSTEMS; FORECASTING; LIBRARIES; SENSOR NETWORKS; SUSTAINABLE DEVELOPMENT; WATER QUALITY;

DATA ASSIMILATION; ECOSYSTEM SERVICES; MODEL LEARNING; NETWORK SCIENCE; RESILIENCE; SUSTAINABLE MANAGEMENT;

INFORMATION MANAGEMENT;

AQUATIC ECOSYSTEM; BIOGEOCHEMISTRY; BOTTOM-UP APPROACH; CATCHMENT; DATA ASSIMILATION; ECOSYSTEM RESILIENCE; ECOSYSTEM SERVICE; ENVIRONMENTAL MODELING; ENVIRONMENTAL RESTORATION; OBSERVATORY; POLICY MAKING; PREDICTION; RESTORATION ECOLOGY; SENSOR; SUSTAINABILITY; WATER QUALITY;

EID: 84944355223     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2015WR017175     Document Type: Article

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