Towards a networks based approach to biomonitoring
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Effective monitoring of the environment for anthropogenic impacts is essential
for managing and conserving ecosystems, especially in the face of global climate
change and an ever increasing human population. Yet current biomonitoring schemes
are grounded in species or trait based approaches, and lack the tools required to deal
with the effects of stressors on species and their interactions in complex natural
systems. Ecological networks can offer new insights into ecosystem degradation by
explicitly considering the interactions between species, adding value to current
taxonomically constrained schemes.
Here, I develop a formalisation of a method for constructing ecological
networks from species lists and trophic information harvested from the primary
literature (Chapter 2). I then use this method to augment traditional biomonitoring
data with information on the interaction between species to build large collections of
food webs (Chapters 3-5). I apply novel network analysis methods from complex
network research to examine the substructure of these networks. In Chapter 3, I find
that the structure, and substructure, of freshwater food webs are fundamentally
altered by hydrochemical stress (Appendix A). Chapter 4 demonstrates that the
structure of agricultural food webs are linked to the delivery of beneficial pest control
services, potentially allowing those services to be enhanced through management of
food web structure. Finally, in Chapter 5 I use more detailed food web data to
investigate how freshwater food webs are impacted by a catastrophic pesticide spill,
how the indirect effects propagate through the food web, and how the structure of the
community and ecosystem functioning recover over time.
The findings presented herein demonstrate that ecological networks constructed from
routine biomonitoring data can be a useful tool for understanding the impacts of
stressors on ecological communities. Considering the interactions between species is
vital if we are to fully understand, and mitigate against the negative effects of global
climate change on biodiversity.
Authors
Gray, ClareCollections
- Theses [4321]