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Título

Data from: Protection promotes energetically efficient structures in marine communities

AutorTabi, Andrea CSIC ORCID; Gilarranz, Luis J.; Wood, Spencer A.; Dunne, Jennifer A.; Saavedra, Serguei CSIC ORCID
Palabras clavePerturbations
Metabolic scaling
Causal inference
Community structure
Transfer efficiency
Tesauro AGROVOCprotected areas
Fecha de publicación17-nov-2023
EditorZenodo
CitaciónTabi, Andrea; Gilarranz, Luis J.; Wood, Spencer A.; Dunne, Jennifer A.; Saavedra, Serguei; 2023; Data from: Protection promotes energetically efficient structures in marine communities [Dataset]; Zenodo; Version 3; https://doi.org/10.5281/zenodo.10147237
ResumenThe sustainability of marine communities is critical for supporting many biophysical processes that provide ecosystem services that promote human well-being. It is expected that anthropogenic disturbances such as climate change and human activities will tend to create less energetically-efficient ecosystems that support less biomass per unit energy flow. It is debated, however, whether this expected development should translate into bottom-heavy (with small basal species being the most abundant) or top-heavy communities (where more biomass is supported at higher trophic levels with species having larger body sizes). Here, we combine ecological theory and empirical data to demonstrate that full marine protection promotes shifts towards top-heavy energetically-efficient structures in marine communities. First, we use metabolic scaling theory to show that protected communities are expected to display stronger top-heavy structures than disturbed communities. Similarly, we show theoretically that communities with high energy transfer efficiency display stronger top-heavy structures than communities with low transfer efficiency. Next, we use empirical structures observed within fully protected marine areas compared to disturbed areas that vary in stress from thermal events and adjacent human activity. Using a nonparametric causal-inference analysis, we find a strong, positive, causal effect between full marine protection and stronger top-heavy structures. Our work corroborates ecological theory on community development and provides a quantitative framework to study the potential restorative effects of different candidate strategies on protected areas.
DescripciónWe analyzed 479 sampled communities from 299 sites around the planet from the Reef Life Survey (RLS) database (Edgar et al, 2020) comprising population data from more than 1,500 non-benthic marine species with individual body size information. Body size was measured as biomass and data were aggregated by year. We included only sampling sites in our analysis, which were surveyed more than once per year. This decision is based on a prior rarefaction analysis that we conducted to assess the impacts of sampling effort from the RLS database due to the noisiness of one sampling event in species richness. We collected weekly sea surface temperature (SST) from NOAA's (National Oceanic and Atmospheric Administration) remote sensing database. In our analysis, we used the sum of thermal stress anomalies (TSA), calculated as the number of events when the average difference between weekly SST and the maximum weekly climatological SST was above 1 degree Celsius between 1982 and 2019. The distribution of warm-water coral reef was obtained from UNEP-WCMC World Fish Centre database. The average trophic level of species was obtained from Fishbase database. Finally, the information on marine protected areas was obtained from UNEP-WCMC and IUCN Protected Planet database. The information on human population density was obtained from Gridded Population of the World. The human population density was quantified as humans/Km2 in a 25-km radius around the sampling site. Lastly, we used the regression coefficient between log biomass and log of average body sizes as a measure of community structure. The "data.csv" file contains all raw data used to calculate the final results in the "results.csv" file. The variables and their definitions in "results.csv" are the following:
Versión del editorhttps://doi.org/10.5281/zenodo.10147237
URIhttp://hdl.handle.net/10261/354162
DOI10.5281/zenodo.10147237
ReferenciasTabi, Andrea; Gilarranz, Luis J.; Wood, Spencer A.; Dunne, Jennifer A.; Saavedra, Serguei. Protection promotes energetically efficient structures in marine communities. https://doi.org/10.1371/journal.pcbi.1011742 . http://hdl.handle.net/10261/354152
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