2014
DOI: 10.1111/jbi.12435
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Spatial extent of biotic interactions affects species distribution and abundance in river networks: the freshwater pearl mussel and its hosts

Abstract: Aim At what spatial extent are biotic interactions discernible influences on the distribution and abundance of species in river networks? We address this question with analyses of data from river networks for Margaritifera margaritifera, a freshwater mussel that passes its larval stage attached to a host fish.Location Twenty river networks in Galicia, north-western Spain.Methods A maximum-entropy approach was implemented to model the species' distribution. Geostatistical mixed models were used to analyse the m… Show more

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Cited by 22 publications
(27 citation statements)
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“…Based on the results, we hypothesize that mussel distributions are nested within the host fish distributions and that the presence of fish hosts in given communities is driven by both abiotic and biotic factors, while the presence of mussels is primarily driven by local abiotic conditions. Previous studies with a single‐species SDM partially supported this hypothesis, where the breadth of suitable habitats for fish hosts were larger than that of mussels (Inoue et al ., ) and the abundance of fish hosts as a predictor improved the model fitness of SDMs (Lois et al ., ).…”
Section: Discussionmentioning
confidence: 97%
“…Based on the results, we hypothesize that mussel distributions are nested within the host fish distributions and that the presence of fish hosts in given communities is driven by both abiotic and biotic factors, while the presence of mussels is primarily driven by local abiotic conditions. Previous studies with a single‐species SDM partially supported this hypothesis, where the breadth of suitable habitats for fish hosts were larger than that of mussels (Inoue et al ., ) and the abundance of fish hosts as a predictor improved the model fitness of SDMs (Lois et al ., ).…”
Section: Discussionmentioning
confidence: 97%
“…This study provides the first predictive habitat suitability maps for rare mussels in east Texas, making it a unique dataset documenting habitat associations of these important and imperilled organisms. The modelling approach used here has rarely been used to model unionids in North America, where other modelling approaches have been favoured (but see Lois et al , for a similar approach in Europe). Typical methods for modelling mussel occurrences require localized, within‐stream habitat measurements integrated over a small stream segment (Allen & Vaughn, ; Atkinson et al , ; Campos et al , ; Gangloff & Feminella, ; Weber & Schwartz, ), which limits the spatial extent, or modelling the habitat suitability of entire catchments, which limits the resolution (Atkinson et al , ; Cao et al , ; Mynsberge et al , ; Weber & Schwartz, ).…”
Section: Discussionmentioning
confidence: 99%
“…Recent studies indicate that including the abundance of predators and/or competitors can improve model accuracy and transferability (Wang and Jackson ; Lois et al. ). For this reason, we also monitored other reptile species, and their abundance was very low, preventing us from including them in the modes.…”
Section: Discussionmentioning
confidence: 99%