SCALEFORES: Scaling Rules For Ecosystem Service Mapping

Informazioni relative al progetto

SCALEFORES

ID dell’accordo di sovvenzione: 680176

DOI

10.3030/680176

Progetto chiuso

Data della firma CE 22 Dicembre 2015

Data di avvio 1 Luglio 2016

Data di completamento 31 Maggio 2023

Finanziato da

• EXCELLENT SCIENCE - European Research Council (ERC)

Costo totale

€ 1 483 096,00

Contributo UE

€ 1 483 096,00

Coordinato da

UNIVERSITY OF SOUTHAMPTON
United Kingdom

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

Periodo di rendicontazione: 2023-01-01 al 2023-05-31

Sintesi del contesto e degli obiettivi generali del progetto

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.

Lavoro eseguito dall’inizio del progetto fino alla fine del periodo coperto dalla relazione e principali risultati finora ottenuti

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.

Progressi oltre lo stato dell’arte e potenziale impatto previsto (incluso l’impatto socioeconomico e le implicazioni sociali più ampie del progetto fino ad ora)

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