Whole‐lake invasive crayfish removal and qualitative modeling reveal habitat‐specific food web topology
Abstract
Abstract Patterning of the presence/absence of food web linkages (hereafter topology) is a fundamental characteristic of ecosystems that can influence species responses to perturbations. However, the insight from food web topology into dynamic effects of perturbations on species is potentially hindered because most described topologies represent data integrated across spatial and temporal scales. We conducted a 10‐year, whole‐lake experiment in which we removed invasive rusty crayfish ( Orconectes rusticus ) from a 64‐ha north‐temperate lake and monitored responses of multiple trophic levels. We compared species responses observed in two sub‐habitats to the responses predicted from all topologies of an integrated, literature‐informed base food web model of 32 potential links. Out of 4.3 billion possible topologies, only 308,833 (0.0072%) predicted responses that qualitatively matched observed species responses in cobble habitat, and only 12,673 (0.0003%) matched observed responses in sand habitat. Furthermore, when constrained to predictions that both matched observed responses and were highly reliable (i.e., predictions were robust to link strength values), only 5040 (0.0001%) and 140 (0.000003%) topologies were identified for cobble and sand habitats, respectively. A small number of linkages were nearly always present in these valid, reliable networks in sand, while a greater variety of possible network configurations weremore »
- Authors:
-
- Center for Limnology University of Wisconsin‐Madison 680 North Park Street Madison Wisconsin 53706 USA
- Publication Date:
- Research Org.:
- Univ. of Wisconsin, Madison, WI (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC); National Science Foundation (NSF)
- OSTI Identifier:
- 1343321
- Alternate Identifier(s):
- OSTI ID: 1343322; OSTI ID: 1358442
- Grant/Contract Number:
- SC0009988; DEB-0083545; DEB-9632853
- Resource Type:
- Published Article
- Journal Name:
- Ecosphere
- Additional Journal Information:
- Journal Name: Ecosphere Journal Volume: 8 Journal Issue: 2; Journal ID: ISSN 2150-8925
- Publisher:
- Wiley Blackwell (John Wiley & Sons)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; food web; indirect effects; invasive species; qualitative modeling; rusty crayfish; topology
Citation Formats
Hansen, Gretchen J. A., Tunney, Tyler D., Winslow, Luke A., and Vander Zanden, M. Jake. Whole‐lake invasive crayfish removal and qualitative modeling reveal habitat‐specific food web topology. United States: N. p., 2017.
Web. doi:10.1002/ecs2.1647.
Hansen, Gretchen J. A., Tunney, Tyler D., Winslow, Luke A., & Vander Zanden, M. Jake. Whole‐lake invasive crayfish removal and qualitative modeling reveal habitat‐specific food web topology. United States. https://doi.org/10.1002/ecs2.1647
Hansen, Gretchen J. A., Tunney, Tyler D., Winslow, Luke A., and Vander Zanden, M. Jake. Fri .
"Whole‐lake invasive crayfish removal and qualitative modeling reveal habitat‐specific food web topology". United States. https://doi.org/10.1002/ecs2.1647.
@article{osti_1343321,
title = {Whole‐lake invasive crayfish removal and qualitative modeling reveal habitat‐specific food web topology},
author = {Hansen, Gretchen J. A. and Tunney, Tyler D. and Winslow, Luke A. and Vander Zanden, M. Jake},
abstractNote = {Abstract Patterning of the presence/absence of food web linkages (hereafter topology) is a fundamental characteristic of ecosystems that can influence species responses to perturbations. However, the insight from food web topology into dynamic effects of perturbations on species is potentially hindered because most described topologies represent data integrated across spatial and temporal scales. We conducted a 10‐year, whole‐lake experiment in which we removed invasive rusty crayfish ( Orconectes rusticus ) from a 64‐ha north‐temperate lake and monitored responses of multiple trophic levels. We compared species responses observed in two sub‐habitats to the responses predicted from all topologies of an integrated, literature‐informed base food web model of 32 potential links. Out of 4.3 billion possible topologies, only 308,833 (0.0072%) predicted responses that qualitatively matched observed species responses in cobble habitat, and only 12,673 (0.0003%) matched observed responses in sand habitat. Furthermore, when constrained to predictions that both matched observed responses and were highly reliable (i.e., predictions were robust to link strength values), only 5040 (0.0001%) and 140 (0.000003%) topologies were identified for cobble and sand habitats, respectively. A small number of linkages were nearly always present in these valid, reliable networks in sand, while a greater variety of possible network configurations were possible in cobble. Direct links involving invasive rusty crayfish were more important in cobble, while indirect effects involving Lepomis spp. were more important in sand. Importantly, the importance of individual species linkages differed dramatically among cobble and sand sub‐habitats within a single lake, even though species composition was identical. Although the true topology of food webs is difficult to determine, constraining topologies to include spatial resolution that matches observed experimental outcomes may reduce possibilities to a small number of plausible alternatives.},
doi = {10.1002/ecs2.1647},
journal = {Ecosphere},
number = 2,
volume = 8,
place = {United States},
year = {Fri Feb 10 00:00:00 EST 2017},
month = {Fri Feb 10 00:00:00 EST 2017}
}
https://doi.org/10.1002/ecs2.1647
Web of Science
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