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Details of Award

NERC Reference : NE/W007509/1

Core principles for integrated models for ecosystem management

Grant Award

Principal Investigator:
Dr D Bearup, University of Kent, Sch of Maths Statistics & Actuarial Sci
Co-Investigator:
Professor JR O'Hanley, University of Kent, Kent Business School
Co-Investigator:
Professor IM Fraser, University of Kent, Sch of Economics
Co-Investigator:
Professor R Fish, Imperial College London, Centre for Environmental Policy
Science Area:
Earth
Freshwater
Terrestrial
Overall Classification:
Unknown
ENRIs:
Biodiversity
Natural Resource Management
Science Topics:
Species diversity
Biodiversity
Ecosystem function
Ecosystem services
Extinction
Freshwater populations
Habitat use
Population density
Population dynamics
Population modelling
Terrestrial populations
Population Ecology
Ecological economics
Economic effects of environmental policies
Environmental public goods
Environmental valuations
Pricing of environmental resources
Sustainable development
Environmental economics
Deterministic Systems
Non-linear Systems Mathematics
Feedback Loop
Non-Equilibrium Mechanics
Nonlinear Partial DEs
ODEs
Stochastic Processes
Agricultural systems
Biodiversity
Ecology/ecosystem
Managed landscapes
Sustainable agriculture
Agricultural systems
Conservation Ecology
Anthropogenic pressures
Biodiversity conservation
Conservation management
Ecosystem function
Ecosystem services
Habitat fragmentation
Land use change
Abstract:
Human society and our economy have been built to make use of the natural world. However, as the Dasgupta report has highlighted these activities have damaged our environment and wild populations. Repairing this damage and rebuilding our society to sustainably make use of natural resources will require significant investment. It is important to ensure that this effort is applied effectively otherwise we may do further harm. However, the complexity of the natural world makes it hard to predict how our interventions will affect it. Mathematics provides a language in which to describe how systems change over time. If a system can be described sufficiently accurately in mathematical terms, it becomes possible to test how it would respond to a given change. Thus, mathematical models have the potential to provide tools that would allow us to design conservation and restoration activities which will be effective. However, while a variety of mathematical models exist for individual environmental, ecological, and socio-economic systems, unified models, which describe how all of these aspects come together are relatively rare. Furthermore, it is not clear how to best go about designing such models to support decision-makers. This project will address this problem by producing a guide to the development of models to inform management decisions. This will be achieved by assessing the decisions made in constructing the existing wealth of published models to determine how they influenced the overall effectiveness of those models as decision-making tools. From this analysis we will synthesize a set of general model design principles and demonstrate how design decisions follow through into practical consequences. In the process we will identify common modelling approaches between different fields of study and, thus, strategies for the development of wholistic models. Finally, we will demonstrate how to apply this guide in practice by developing outlines of models for the management of agricultural ecosystems and river ecosystems. Agricultural ecosystems are large, potentially encompassing an entire country or countries. As a result, their behaviour varies considerably across the system as a whole; this presents a substantial modelling challenge. Furthermore, decisions are typically made for individual farms without necessarily considering how they will affect the overall health of the ecosystem. The model developed needs to bridge this gap. River ecosystems support agriculture, transport and power generation and are essential in flood management. They also have a complex spatial structure which is affected by many of the uses we put them to. This structure also plays an important role in the health of the wildlife communities which inhabit them. Again, our model for the management of these systems need to account for how local decisions influence the overall health of the ecosystem.
Period of Award:
1 Feb 2022 - 30 Apr 2022
Value:
£37,812
Authorised funds only
NERC Reference:
NE/W007509/1
Grant Stage:
Completed
Scheme:
Directed (RP) - NR1
Grant Status:
Closed

This grant award has a total value of £37,812  

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FDAB - Financial Details (Award breakdown by headings)

Indirect - Indirect CostsDA - InvestigatorsDA - Estate CostsDI - Staff
£17,961£7,173£2,670£10,008

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