2017
DOI: 10.1038/s41467-017-00913-w
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Predicting the effect of habitat modification on networks of interacting species

Abstract: A pressing challenge for ecologists is predicting how human-driven environmental changes will affect the complex pattern of interactions among species in a community. Weighted networks are an important tool for studying changes in interspecific interactions because they record interaction frequencies in addition to presence or absence at a field site. Here we show that changes in weighted network structure following habitat modification are, in principle, predictable. Our approach combines field data with math… Show more

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Cited by 35 publications
(51 citation statements)
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“…Using mean values for each species could miss details regarding the distribution of interactions over the landscape; however, complementary analysis using linear mixed models shows broadly similar trends (see Appendix ). Insects are likely to have uneven preferences for resources/hosts (Staniczenko et al ), which may depend on the habitat where the interactions occur (Staniczenko et al ; see Appendices and ). For instance, parasitising behaviour translates into variable interaction frequencies depending on the habitat type (Staniczenko et al ).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Using mean values for each species could miss details regarding the distribution of interactions over the landscape; however, complementary analysis using linear mixed models shows broadly similar trends (see Appendix ). Insects are likely to have uneven preferences for resources/hosts (Staniczenko et al ), which may depend on the habitat where the interactions occur (Staniczenko et al ; see Appendices and ). For instance, parasitising behaviour translates into variable interaction frequencies depending on the habitat type (Staniczenko et al ).…”
Section: Discussionmentioning
confidence: 99%
“…Insects are likely to have uneven preferences for resources/hosts (Staniczenko et al ), which may depend on the habitat where the interactions occur (Staniczenko et al ; see Appendices and ). For instance, parasitising behaviour translates into variable interaction frequencies depending on the habitat type (Staniczenko et al ). Similarly, other insect species may swap resources between habitats, because of changes in competitors rather than in interaction partners (Poisot et al ).…”
Section: Discussionmentioning
confidence: 99%
“…However, because insect herbivory and parasitism rate are edge‐dependent (Maron & Crone, ; Reeve & Cronin, ), our results might nevertheless be indicative of the direction of change for plant and animal populations and communities at larger spatial scales as a result of climate warming, although more research is necessary. Although all simulated climate warming methods have limitations (de Sassi et al., ), they are nevertheless one of the few tools available in empirically testing how ecosystems response to climate change and provide much‐needed data for predictive network models (Staniczenko et al., ). In the future, complementary approaches including large‐scale field experiments and small‐scale mesocosms or laboratory experiments (see Romo & Tylianakis, ) might give a more comprehensive view of the ecosystem response to climate change.…”
Section: Discussionmentioning
confidence: 99%
“…Models aimed at predicting how networks of interactions will respond to environmental changes and global warming are being developed (Staniczenko et al, 2017). Multiple types of interactions (e.g.…”
Section: Future Directionsmentioning
confidence: 99%