MetaChange
Financiado
Biodiversity change across time and space in the Anthropocene: Leveraging metaco...
Biodiversity change across time and space in the Anthropocene: Leveraging metacommunity modelling, land-use change, and open data to achieve deeper understanding
Despite connections between metacommunity level processes that maintain biodiversity and anthropogenic pressures that erode those processes, these have not been well integrated. I propose a multifaceted approach that
(1) builds on...
Despite connections between metacommunity level processes that maintain biodiversity and anthropogenic pressures that erode those processes, these have not been well integrated. I propose a multifaceted approach that
(1) builds on metacommunity theory to develop expectations for the influence of anthropogenic drivers on scale-explicit biodiversity change;
(2) uses this theory to develop an analytical pipeline to disentangle local and landscape factors driving this change;
(3) use the derived results to develop scale-explicit projections of future biodiversity change that can aide biodiversity policy decisions.
With theoretical expectations and analytical procedures in hand, we will synthesize biodiversity change across scales, and the relative influence of local versus landscape-level drivers on those changes. We will apply our analytical pipeline to the largest compilation of metacommunity time series to provide a comprehensive analysis of biodiversity change. We will complement this with a data collection campaign to ‘resurvey’ zooplankton metacommunities from ponds that had been surveyed 10-50 years previously, but which have experienced different levels of background ‘change’ (e.g., loss of nearby habitat). We will also compile a database to explore the potential influence of habitat restoration via local and landscape processes, and its influence on scale-explicit biodiversity change. We will analyse these synthetic datasets together with geospatial driver data using our novel analytical pipeline. Finally, we will develop a unique pipeline integrating metacomunity theory with our synthetic results and machine learning to develop projections of biodiversity change in the face of scenarios of anthropogenic change.
With the information gained, we will contribute not only to a better understanding of the most important feature of life on this planet—its biodiversity—but by developing this understanding, we can provide an avenue to mitigate the changes.
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Duración del proyecto: 65 meses
Fecha Inicio: 2023-07-05
Fecha Fin: 2028-12-31
Fecha Fin: 2028-12-31
Línea de financiación: concedida
El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-07-05
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
ERC-2022-ADG:
ERC ADVANCED GRANTS
Cerrada
hace 2 años
Presupuesto
El presupuesto total del proyecto asciende a
2M€
Líder del proyecto
MARTINLUTHERUNIVERSITAT HALLEWITTENBERG
No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5
125.00K€ |
Participante