A complex-systems approach to improve understanding of the biodiversity-landscape structure relationship

Lead Research Organisation: University of Birmingham
Department Name: Sch of Geography, Earth & Env Sciences

Abstract

We are currently experiencing a global biodiversity crisis. Adorning front pages of international newspapers is the news that 25% of species are listed as threatened. In addition to global environmental change issues such as climate change, invasive species introductions and wildlife crime, the way we manage landscape is also having a negative effect. While it almost seems like common sense that reducing the amount of natural habitat will negatively impact wildlife, what is less clear is how the spatial arrangement of any remaining natural land cover factors in.

The breaking apart of areas of natural land independent of the change in the amount is known as fragmentation. However, our understanding of the effects of fragmentation is widely debated and lacks a consistent evidence base. If we look at individual patches of natural land, we are likely to conclude that smaller patches contain fewer individuals and species, and that those species may be those that are less sensitive to what is happening outside of the patch. However, if we look at a whole landscape, made up of multiple small patches, the picture is more complicated. Each small patch may inhabit few species, but the fact they are isolated from each other could mean that there are differences in those species among the patches - perhaps because there is less competition between species. We also need to consider what is between those patches. Forest that has been cleared for low intensity agriculture may open up some different habitat types and therefore have a positive effect on biodiversity. On the other hand, forest cleared for roads and urban developments will likely pose a greater threat as it will limit the movement of individuals through behaviour change and increased mortality. Human intervention can both impede and assist dispersal depending on how habitat is fragmented and what it is fragmented by.

In the proposed research, I will bring together research at various scales - from looking at characteristics of individual patches, to how this relationship manifests at the landscape scale and broader. I will consider this from a functional perspective - how do the impacts differ depending on whether we look at large carnivores or small grain-eating birds? I will also consider how the impacts change depending on what the natural habitat has been fragmented by. This is a multiscale problem, that requires a complex systems approach. A complex systems approach is one which allows us to consider how the constituent parts of a system work together to create a result which we may not have seen by only looking at each part individually.

Planned Impact

My proposed research will generate impact in two important ways. First, the findings can help to guide policy around urban and agricultural planning at all levels from local to global. Second, the process-based model can be developed into a decision-making tool for a range of stakeholders including conservation managers, urban planners and local government. These two outcomes have the potential to generate a step-change in the management of natural resources and capital.

I plan to work with UK-based partners Forest Research (WrEN project), Centre for Ecology and Hydrology & Rothamstead Research (AgLand project) and Greenspace Information Greater London, as well as the British Ecological Society policy team to develop a strategy to present the findings of this research to the appropriate policy makers (e.g. Environmental Audit Committee, Defra). There is the scope to work with the Parliamentary Office for Science and Technology to convert the evidence base into a POST Note. My proposed research speaks directly to the UK Government's 25 year Environment Plan by providing an evidence base for the Lawton Report, on which the ecological component of the 25 year plan heavily draws.

The decision-support tool will be developed in collaboration with project partners at AgLand and Greenspace Information Greater London. Additionally, the University of Birmingham links with Birmingham City Council and the West Midlands Combined Authority will allow for impact within regional planning, in particular links to the High Speed 2 railway as an application to a large infrastructure programme. Additionally, Prof. Sadler's existing collaboration with Nick Grayson at Birmingham City Council opens up links to the Biophilic Cities project - a global project aimed at planning cities with biodiversity and nature in mind. This will allow us to broaden the global scope of the model's application.

Publications

10 25 50
 
Description IDEAL UK FIRE: Toward Informed Decisions on Ecologically Adaptive Land management for mitigating UK FIRE
Amount £2,035,153 (GBP)
Funding ID NE/X005143/1 
Organisation Natural Environment Research Council 
Sector Public
Country United Kingdom
Start 12/2022 
End 11/2026
 
Title Little_2023_among-sampler var in fuel moisture field measurements 
Description Data supporting the study " Accounting for among-sampler variability improves confidence in fuel moisture content field measurements" submitted to International Journal of Wildland Fire. File contains: - csv of fuel moisture measurement data collected during an intensive field campaign 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? Yes  
URL https://figshare.com/articles/dataset/Little_2023_among-sampler_var_in_fuel_moisture_field_measureme...
 
Description IIASA 
Organisation International Institute for Applied Systems Analysis
Country Austria 
Sector Academic/University 
PI Contribution The fellowship is a collaborative fellowship with IIASA
Collaborator Contribution The fellowship is a collaborative fellowship with IIASA
Impact Papers forthcoming PhD co-supervision
Start Year 2020
 
Title Little_2023_among-sampler var in fuel moisture field measurements 
Description Code supporting the study " Accounting for among-sampler variability improves confidence in fuel moisture content field measurements" submitted to International Journal of Wildland Fire. File contains: - .R script for the statistical analyses of field fuel moisture measurement data We conducted all statistical analyses in R version 4.1.2 (R Core Team 2022) using packages lme4 (Bates et al. 2015) and MuMIn (Barton 2022). 
Type Of Technology Software 
Year Produced 2023 
Open Source License? Yes  
URL https://figshare.com/articles/software/Little_2023_among-sampler_var_in_fuel_moisture_field_measurem...