FN Archimer Export Format
PT J
TI Integrating spatial indicators in the surveillance of exploited marine ecosystems
BT 
AF RUFINO, Marta
   BEZ, Nicolas
   BRIND'AMOUR, Anik
AS 1:1,2;2:3;3:1;
FF 1:PDG-RBE-EMH;2:;3:PDG-RBE-EMH;
C1 IFREMER, French Res Inst Exploitat Sea, Ctr Atlantique, Dept Ecol & Modeles Halieut EMH, Issy Les Moulineaux, France.
   Univ Algarve, Ctr Ciencias Mar CCMAR, Campus Gambelas, Faro, Portugal.
   Univ Montpellier, MARBEC, IRD, CNRS,Ifremer, Sete, France.
C2 IFREMER, FRANCE
   CCMAR, PORTUGAL
   IRD, FRANCE
SI NANTES
SE PDG-RBE-EMH
UM MARBEC
IN WOS Ifremer jusqu'en 2018
   DOAJ
   copubli-france
   copubli-p187
   copubli-europe
IF 2.776
TC 11
UR https://archimer.ifremer.fr/doc/00469/58087/60490.pdf
   https://archimer.ifremer.fr/doc/00469/58087/60497.pdf
   https://archimer.ifremer.fr/doc/00469/58087/60498.pdf
   https://archimer.ifremer.fr/doc/00469/58087/60499.pdf
   https://archimer.ifremer.fr/doc/00469/58087/60500.pdf
LA English
DT Article
CR EVHOE 2015
   EVHOE EVALUATION HALIEUTIQUE OUEST DE L'EUROPE
   PELGAS
   PELGAS 2015
BO Thalassa
AB Spatial indicators are used to quantify the state of species and ecosystem status, that is the impacts of climate and anthropogenic changes, as well as to comprehend species ecology. These metrics are thus, determinant to the stakeholder’s decisions on the conservation measures to be implemented. A detailed review of the literature (55 papers) showed that 18 spatial indicators were commonly used in marine ecology. Those indicators were than characterized and studied in detail, based on its application to empirical data (a time series of 35 marine species spatial distributions, sampled either with a random stratified survey or a regular transects surveys). The results suggest that the indicators can be grouped into three classes, that summarize the way the individuals occupy space: occupancy (the area occupied by a species), aggregation (spreading or concentration of species biomass) and quantity dependent (indicators correlated with biomass), whether these are spatially explicit (include the geographic coordinates, e.g. center of gravity) or not. Indicator’s temporal variability was lower than between species variability and no clear effect was observed in relation to sampling design. Species were then classified accordingly to their indicators. One indicator was selected from each of the three categories of indicators, to represent the main axes of species spatial behavior and to interpret them in terms of occupancy-aggregation-quantity relationships. All species considered were then classified according to their relationships among those three axes, into species that under increasing abundancy, primarily increase occupancy or aggregation or both. We suggest to use these relationships along the three-axes as surveillance diagrams to follow the yearly evolution of species distributional patterns in the future. 
PY 2018
PD NOV
SO Plos One
SN 1932-6203
PU Public Library Science
VL 13
IS 11
UT 000451054800065
DI 10.1371/journal.pone.0207538
ID 58087
ER

EF