Open AccessSpecies–area relationships as indicators of human impacts on demersal fish communities
Author(s) -
Novaglio Camilla,
Ferretti Francesco,
Smith Anthony D.M.,
Frusher Stewart
Publication year - 2016
Publication title -
diversity and distributions
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.918
H-Index - 118
eISSN - 1472-4642
pISSN - 1366-9516
DOI - 10.1111/ddi.12482
Subject(s) - demersal zone , demersal fish , fishing , species richness , community structure , ecology , geography , fishery , sampling (signal processing) , environmental science , biology , filter (signal processing) , computer science , computer vision
Aim The relationship between number of species and area is a well‐known macro‐ecological property that can be used as an indicator of human impact on natural communities. This relationship can be described by species–area relationships. We explored the application of species–area relationships to data sets of bottom trawl surveys to determine their ability to capture fishing‐induced changes in demersal fish communities. Location Australia. Methods We performed numerical simulations to investigate whether species–area relationship was sensitive to changes in community properties, such as richness, species abundances and spatial distribution. Then, we analysed a data set of bottom trawl surveys carried out in south‐east Australia spanning 20 years. These data provided information on demersal fish communities at different stages of fishing exploitation. We built species–area relationships along spatial and temporal gradients of community exploitation and used the rate of species accumulation to characterize community structure. Linear mixed effects ( LME ) models were used to quantify the effect of fishing exploitation on species accumulation rates, while controlling for environmental and sampling factors. Results Numerical simulations showed that species–area relationships can capture changes in community properties. Observed species accumulation rate decreased with increasing exploitation and was sensitive to environmental variation along a latitudinal and depth gradient and to changes in sampling. Main conclusions Species–area relationships applied to trawl survey data can capture fishing‐induced changes in the structure of demersal fish communities. We propose that species–area relationships can be used to inform on the status of demersal fish communities and aid community monitoring. If applied to data sets of bottom trawl surveys available world‐wide, species–area relationships could be used to rank demersal fish communities for their level of exploitation.