Details of Award
NERC Reference : NE/S001395/1
Towards a general theory of ecological impacts of multiple, simultaneous stressors.
Grant Award
- Principal Investigator:
- Professor A Beckerman, University of Sheffield, School of Biosciences
- Co-Investigator:
- Dr TJ Webb, University of Sheffield, School of Biosciences
- Grant held at:
- University of Sheffield, School of Biosciences
- Science Area:
- Freshwater
- Marine
- Terrestrial
- Overall Classification:
- Panel C
- ENRIs:
- Biodiversity
- Environmental Risks and Hazards
- Global Change
- Science Topics:
- Climate & Climate Change
- Community Ecology
- Population Ecology
- Ecosystem Scale Processes
- Abstract:
- Predicting the impact that combined natural and anthropogenic stressors have on ecological communities ranks as one of the most important research agendas in ecology. Climate change and the fragmentation of habitat are considered the two largest threats to the global environment. They are expected to impact on the diversity, composition and dynamics of the communities that underpin ecosystem services. Pollution and (over)harvesting of natural resources considerably complicate these impacts. It is safe to assume that communities are experiencing multiple, simultaneous challenges. It also seems easy to assume that combined threats might simply add up to generate impact. The more stressors, the more and worse the impact. However, it may be that, because of the way biology works, some stressors cancel each other out, or combine to be less impactful than expected. And, of course, the opposite is possible (and scary): stressors may exacerbate each other, leading to effects that are worse than expected compared to just adding their effects together. Unfortunately, we really have no idea about whether stress combines in an additive or non-additive fashion. And we have very rudimentary understanding of how feedbacks among population dynamics, community structure and ecosystem function operate under multiple stressors. We suggest, in fact, that the distribution of these additive or interactive effects can tell us something about how predictable and how generalizable are the effects of stressors. We propose to explore the distribution of additive and interactive effects caused by multiple stressors by building a model that allows biology to determine if stress adds up or not, and then comparing this to patterns in real data. Our unique contribution comes from recognising that some kinds of stress, like temperature, act on physiology and change the rates at which things like metabolism growth and reproduction happen. In contrast, some stressors simply kill things, either by harvesting or by direct impacts from things like pollution. We will build the first model that allows these distinctions to be accommodated, giving us the best chance of understanding how stressors combine to affect populations, the structure of communities and the ecosystem functions we rely upon.
- NERC Reference:
- NE/S001395/1
- Grant Stage:
- Completed
- Scheme:
- Standard Grant FEC
- Grant Status:
- Closed
- Programme:
- Standard Grant
This grant award has a total value of £436,124
FDAB - Financial Details (Award breakdown by headings)
| DI - Other Costs | Indirect - Indirect Costs | DA - Investigators | DI - Staff | DA - Estate Costs | DA - Other Directly Allocated | DI - T&S |
|---|---|---|---|---|---|---|
| £15,402 | £127,910 | £63,742 | £156,573 | £39,034 | £19,398 | £14,066 |
If you need further help, please read the user guide.