A PREDICTIVE MODEL BASED ON MULTIPLE COASTAL ANTHROPOGENIC PRESSURES EXPLAINS THE DEGRADATION STATUS OF A MARINE ECOSYSTEM: IMPLICATIONS FOR MANAGEMENT AND CONSERVATION.
Holon, F., Marre, G., Parravicini, V.,Mouquet, N. Bockel, T., Descamp, P., Tribot, A.S., Boissery, P. & Deter, J. (2018).
Biological Conservation, 222, 125-135, doi:10.1016/j.biocon.2018.04.006
Key message : We analyzed the impact of human activities on Posidonia oceanica beds, a vital seagrass species endemic to the Mediterranean. Using a statistical model on a dataset covering 1700 km of the French Mediterranean coast, we found our model explained 71.3% of the degradation variance of P. oceanica. Key factors contributing to this degradation included human-made coastlines, depth, coastal population, urbanization, and agriculture, with aquaculture being a less significant global predictor but having notable local impacts. Notably, we identified thresholds for most predictors beyond which the degradation accelerates. Using this information, we developed a map categorizing coastal seagrass beds based on their risk levels from these pressures. Our findings offer critical insights for conserving this endangered ecosystem.
Left, mapping the tipping points for degradation of Posidonia oceanica beds according to multiple human impacts along the French Mediterranean coastline between 0 m and 40 m deep. Right Proportion of 50 × 50 m cells (in percentage) occupied by the different predictors used to model the degradation status of P. oceanica. Total number of cells = 351,955.
OTHER TOPICS: Aesthetics of Biodiversity, Biodiversity & Ecosystem Functioning, Biogeography, Macroecology & Ecophylogenetics, Experimental Evolution,
Functional Biogeography, Functional Rarity, Metacommunities, Metaecosystems, Reviews and Synthesis, Trophic Biogeography & Metaweb