Modeling reef health from upstream socio-ecological components using GIS and RS

Ecological services provided by coral reefs are threatened by complex dynamics of global and local drivers. Fostering an appropriate management at local scale may enhance the resilience of the coral reefs facing large-scale issues, more laboriously manageable. We propose to model a bespoke reef heal...

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Veröffentlicht in:2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS S. 306 - 309
Hauptverfasser: Pouteau, Robin, Collin, Antoine, Archambault, Philippe, Stoll, Benoit
Format: Tagungsbericht
Sprache:Englisch
Japanisch
Veröffentlicht: IEEE 01.07.2013
Schlagworte:
Abstracts
Biological system modeling
Computational modeling
Dispersion
Focusing
Indexes
landscape monitoring
Non-linear modeling
Pacific Islands
Plants (biology)
terrestrial runoff
ISSN:2153-6996
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Abstract Ecological services provided by coral reefs are threatened by complex dynamics of global and local drivers. Fostering an appropriate management at local scale may enhance the resilience of the coral reefs facing large-scale issues, more laboriously manageable. We propose to model a bespoke reef health index (RHI) using a comprehensive dataset of socio-ecological variables and the Boosted Regression Trees (BRT). The variation of the RHI was primarily explained by the cluster of physiographic variables (55.45%), to a lesser extent, by land cover (36.42%), and finally by sociological variables (8.12%). The dispersion and the mean of the slope, as well as the built-up area increasingly contributed to the satisfactory modeling of the RHI (14.07, 14.12, 15.37%, respectively). These results will hopefully be useful for the stakeholders tasking with integrated coastal sustainability.
AbstractList Ecological services provided by coral reefs are threatened by complex dynamics of global and local drivers. Fostering an appropriate management at local scale may enhance the resilience of the coral reefs facing large-scale issues, more laboriously manageable. We propose to model a bespoke reef health index (RHI) using a comprehensive dataset of socio-ecological variables and the Boosted Regression Trees (BRT). The variation of the RHI was primarily explained by the cluster of physiographic variables (55.45%), to a lesser extent, by land cover (36.42%), and finally by sociological variables (8.12%). The dispersion and the mean of the slope, as well as the built-up area increasingly contributed to the satisfactory modeling of the RHI (14.07, 14.12, 15.37%, respectively). These results will hopefully be useful for the stakeholders tasking with integrated coastal sustainability.
Author Pouteau, Robin
Stoll, Benoit
Collin, Antoine
Archambault, Philippe
Author_xml – sequence: 1
  givenname: Robin
  surname: Pouteau
  fullname: Pouteau, Robin
  organization: UMR AMAP, Inst. de Rech. pour le Dev. (IRD), Noumea, New Caledonia
– sequence: 2
  givenname: Antoine
  surname: Collin
  fullname: Collin, Antoine
  organization: Nadaoka Lab., Tokyo Inst. of Technol., Tokyo, Japan
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  givenname: Philippe
  surname: Archambault
  fullname: Archambault, Philippe
  organization: Inst. des Sci. de la Mer (ISMER), Univ. du Quebec a Rimouski, Rimouski, QC, Canada
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  givenname: Benoit
  surname: Stoll
  fullname: Stoll, Benoit
  organization: Lab. GePaSud, Univ. de la Polynesie Francaise, Punaauia, French Polynesia
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Snippet Ecological services provided by coral reefs are threatened by complex dynamics of global and local drivers. Fostering an appropriate management at local scale...
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StartPage 306
SubjectTerms Abstracts
Biological system modeling
Computational modeling
Dispersion
Focusing
Indexes
landscape monitoring
Non-linear modeling
Pacific Islands
Plants (biology)
terrestrial runoff
Title Modeling reef health from upstream socio-ecological components using GIS and RS
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