2014
DOI: 10.1016/j.biosystems.2014.06.002
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Climatic seasonality may affect ecological network structure: Food webs and mutualistic networks

Abstract: Ecological networks exhibit non-random structural patterns, such as modularity and nestedness, which determine ecosystem stability with species diversity and connectance. Such structure-stability relationships are well known. However, another important perspective is less well understood: the relationship between the environment and structure. Inspired by theoretical studies that suggest that network structure can change due to environmental variability, we collected data on a number of empirical food webs and… Show more

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Cited by 20 publications
(34 citation statements)
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References 58 publications
(115 reference statements)
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“…Data for the food-web, pollination, and seed-dispersal networks were collected from around the world ( Fig 1 ). It must be noted, however, that the data was likely to be somewhat biased; for one, research on ecological networks tends to derive from several specific countries and not others (see [ 29 ] for details), a sampling bias that suggests spatial autocorrelation in the data. As such, we adopted a spatial eigenvector mapping (SEVM) modeling approach during data analysis (see the following sections) in order to remove any inherent spatial autocorrelation, in addition to application of ordinary least squares (OLS) regression analysis (see Materials and Methods ).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Data for the food-web, pollination, and seed-dispersal networks were collected from around the world ( Fig 1 ). It must be noted, however, that the data was likely to be somewhat biased; for one, research on ecological networks tends to derive from several specific countries and not others (see [ 29 ] for details), a sampling bias that suggests spatial autocorrelation in the data. As such, we adopted a spatial eigenvector mapping (SEVM) modeling approach during data analysis (see the following sections) in order to remove any inherent spatial autocorrelation, in addition to application of ordinary least squares (OLS) regression analysis (see Materials and Methods ).…”
Section: Resultsmentioning
confidence: 99%
“…The importance of environmental factors are often discussed in the context of ecosystem stability [ 23 , 24 ]; many previous studies [ 25 , 26 ] have focused on the association between the environment and ecological network structure, with several focusing specifically on the influence of the environment on nestedness/modularity. Several studies [ 27 30 ] have reported the relationship between climatic parameters and nestedness and modularity in mutualistic networks and food webs; for example, nestedness in pollination networks was found to decrease with annual precipitation [ 27 ], whereas modularity in seed-dispersal networks increased with temperature seasonality [ 28 ], and a positive correlation between modularity and precipitation seasonality was observed in food webs [ 29 ]. Previously [ 29 ], we demonstrated that climate seasonality affects ecological networks, and that the type of climatic seasonality influencing network structure differs among ecosystems; for example, network properties in freshwater ecosystems were mainly affected by rainfall seasonality but primarily by temperature seasonality in terrestrial ecosystems.…”
Section: Introductionmentioning
confidence: 99%
“…Similarly, Takemoto et al . () found seasonality to affect the modularity of food webs, but their results were equivocal regarding the role of seasonality on mutualistic networks. Our results indicate that the increased role of climate is associated with mean climatic values ( viz .…”
Section: Discussionmentioning
confidence: 98%
“…However, to our knowledge, there are no studies testing for direct relatedness of habitat structure and nestedness, especially considering within‐population networks. Tests directly relating the role of spatio‐temporal components on network structure are more common in macroecological studies, showing for example, relationship of annual precipitation, temperature seasonality, and latitude with nestedness (Takemoto, Kanamaru, & Feng, ; Trøjelsgaard & Olesen, ). At smaller scales, it has been shown (but not tested for direct relationship) that variation in biotic and abiotic factors (e.g., heterogeneity, vegetation productivity, temperature, and precipitation) increases nestedness, playing a larger role in comparison to evolutionary constraints (Robinson, Hauzy, Loeuille, & Albrectsen, ; Thompson, Adam, Hultgren, & Thacker, ).…”
Section: Discussionmentioning
confidence: 99%