FN Archimer Export Format
PT J
TI A regionally scalable habitat typology for assessing benthic habitats and fish communities: Application to New Caledonia reefs and lagoons
BT 
AF Pelletier, Dominique
   Selmaoui‐Folcher, Nazha
   Bockel, Thomas
   Schohn, Thomas
AS 1:1,2;2:3;3:1;4:1;
FF 1:PDG-RBE-EMH;2:;3:PDG-RBE-LEADNC;4:PDG-RBE-LEADNC;
C1 Ifremer, LEAD Nouméa Nouvelle‐Calédonie, France
   Ifremer, EMH Nantes, France
   Université de la Nouvelle‐Calédonie, ISEA Nouméa Nouvelle‐Calédonie, France
C2 IFREMER, FRANCE
   IFREMER, FRANCE
   UNIV NOUVELLE CALEDONIE, FRANCE
SI NANTES
   NOUMEA
SE PDG-RBE-EMH
   PDG-RBE-LEADNC
UM ENTROPIE
IN WOS Ifremer UPR
   WOS Ifremer UMR
   DOAJ
   copubli-france
   copubli-univ-france
IF 2.912
TC 8
UR https://archimer.ifremer.fr/doc/00632/74433/74153.pdf
LA English
DT Article
CR CHESTERFIELD-BELLONA 2013
   KONE 2013
DE ;Coral Sea Marine Park;data mining;habitat prediction;habitat typology;in situ monitoring;marine protected areas;scaling up;supervised classification rules;underwater video
AB Scalable assessments of biodiversity are required to successfully and adaptively manage coastal ecosystems. Assessments must account for habitat variations at multiple spatial scales, including the small scales (<100 m) at which biotic and abiotic habitat components structure the distribution of fauna, including fishes. Associated challenges include achieving consistent habitat descriptions and upscaling from in situ‐monitored stations to larger scales. We developed a methodology for (a) determining habitat types consistent across scales within large management units, (b) characterizing heterogeneities within each habitat, and (c) predicting habitat from new survey data. It relies on clustering techniques and supervised classification rules and was applied to a set of 3,145 underwater video observations of fish and benthic habitats collected in all reef and lagoon habitats around New Caledonia. A baseline habitat typology was established with five habitat types clearly characterized by abiotic and biotic attributes. In a complex mosaic of habitats, habitat type is an indispensable covariate for explaining spatial variations in fish communities. Habitat types were further described by 26 rules capturing the range of habitat features encountered. Rules provided intuitive habitat descriptions and predicted habitat type for new monitoring observations, both straightforwardly and with known confidence. Images are convenient for interacting with managers and stakeholders. Our scheme is (a) consistent at the scale of New Caledonia reefs and lagoons (1.4 million km2) and (b) ubiquitous by providing data in all habitats, for example, showcasing a substantial fish abundance in rarely monitored soft‐bottom habitats. Both features must be part of an ecosystem‐based monitoring strategy relevant for management. This is the first study applying data mining techniques to in situ measurements to characterize coastal habitats over regional‐scale management areas. This approach can be applied to other types of observations and other ecosystems to characterize and predict local ecological assets for assessments at larger scales. 
PY 2020
PD JUN
SO Ecology And Evolution
SN 2045-7758
PU Wiley
VL 10
IS 14
UT 000538678200001
BP 7021
EP 7049
DI 10.1002/ece3.6405
ID 74433
ER

EF