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 mathematical models: the models separate changes in relative species abundance from changes in interaction preferences (which describe how interaction frequencies deviate from random encounters). The models with the best predictive ability compared to data requirement are those that capture systematic changes in interaction preferences between different habitat types. Our results suggest a viable approach for predicting the consequences of rapid environmental change for the structure of complex ecological networks, even in the absence of detailed, system-specific empirical data

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch
Anmerkungen
Nature communications. - 8, 1 (2017) , 792, ISSN: 2041-1723

Ereignis
Veröffentlichung
(wo)
Freiburg
(wer)
Universität
(wann)
2019
Urheber
Staniczenko, Phillip P. A.
Lewis, Owen T.
Tylianakis, Jason M.
Albrecht, Matthias
Coudrain, Valérie
Klein, Alexandra-Maria
Reed-Tsochas, Felix

DOI
10.1038/s41467-017-00913-w
URN
urn:nbn:de:bsz:25-freidok-1395248
Rechteinformation
Kein Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
25.03.2025, 13:48 MEZ

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Beteiligte

  • Staniczenko, Phillip P. A.
  • Lewis, Owen T.
  • Tylianakis, Jason M.
  • Albrecht, Matthias
  • Coudrain, Valérie
  • Klein, Alexandra-Maria
  • Reed-Tsochas, Felix
  • Universität

Entstanden

  • 2019

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