SCALEFORES: Scaling Rules For Ecosystem Service Mapping

Informations projet

SCALEFORES

N° de convention de subvention: 680176

DOI

10.3030/680176

Projet clôturé

Date de signature de la CE 22 Decembre 2015

Date de début 1 Juillet 2016

Date de fin 31 Mai 2023

Financé au titre de

• EXCELLENT SCIENCE - European Research Council (ERC)

Coût total

€ 1 483 096,00

Contribution de l’UE

€ 1 483 096,00

Coordonné par

UNIVERSITY OF SOUTHAMPTON
United Kingdom

Periodic Reporting for period 5 - SCALEFORES (SCALEFORES: Scaling Rules For Ecosystem Service Mapping)

Période du rapport: 2023-01-01 au 2023-05-31

Résumé du contexte et des objectifs généraux du projet

Land is a limited resource that must fulfil multiple functions. The big question is, how can we meet growing human demand for resources and ensure human well-being, without impairing biodiversity and ecosystem functions?

Such questions necessitate a landscape ecological approach, on the principle that ecosystem composition, structure and function partially depend on the spatial (and temporal) context of the ecosystem (i.e. its landscape context).

In the SCALEFORES project we adopt a landscape ecological approach to study a wide range of ecosystem services. We do empirical analyses of existing biophysical and socioeconomic datasets across broad geographic regions, in addition to spatial simulation modelling, to understand how landscape context affects ecosystem service provision at multiple scales.

The understanding gained from this research should be useful in understanding how to design, protect, and enhance landscapes relative to ecosystem services at multiple scales, and to inform tools for mapping ecosystem services.

Travail effectué depuis le début du projet jusqu’à la fin de la période considérée dans le rapport et principaux résultats atteints jusqu’à présent

The original focus of SCALEFORES have focused on developing new statistical methods for understanding how the spatial scale of variables (such as the amount of forest within some distance of pond) affects the aspects of nature most important to people (ecosystem services or natural capital). This led to two two major methodological papers - an analytical framework for cross-scale analysis of the effectivness of management interventions for ecosystem services, and another for maximizing the value of high resolution land cover data for predicting biodiversity outcomes. Both methods were applied in other contexts- the former for deer damage in the UK and bird diversity and bamboo invasions in Japan, and the latter for tree diversity across Europe.

As the project progressed, we become more interested in understanding and predicting land use change itself, as this is ultimately what drives ecosystem service and biodiversity delivery. Here, we came up with a new method for predicting frontiers of agricultural expansion that improves the prediction of future agricultural expansion.

Other major outputs included a systematic map of the impacts of urban greenspace on mental health, and paper looking at the drivers of woody vegetation dynamics across sub-Saharan Africa.

Progrès au-delà de l’état des connaissances et impact potentiel prévu (y compris l’impact socio-économique et les conséquences sociétales plus larges du projet jusqu’à présent)

Our new methods are well beyond the state of the art, as they mean we can now use the 'big data' available from satellites, surveys from government and citizen sciences to understand what management actions work in what places to maintain our ecosystem services and what ones don't.

On-going work is to use one of the methods to understand trade-offs between reforestation for climate change mitigation and increasing the risk of deer damage to existing forests in Scotland.

Graphical abstract of new method for predicting agricultural expansion