Multiple large-scale restoration strategies are emerging globally to counteract ecosystem degradation and biodiversity loss. However, restoration often remains insufficient to offset that loss. To address this challenge, we propose to focus restoration science on the long-term (centuries to millennia) re-assembly of degraded ecosystem complexity integrating interaction network and evolutionary potential approaches. This approach provides insights into eco-evolutionary feedbacks determining the structure, functioning and stability of recovering ecosystems. Eco-evolutionary feedbacks may help to understand changes in the adaptive potential after disturbance of metacommunity hub species with core structural and functional roles for their use in restoration.
Public perception of climate change can either facilitate or hinder the implementation of climate policies. This perception is dependent on a number of influencing factors, called drivers, in ways that are still not clearly understood. Our study quantifies the relative strength of drivers of climate change perception, taking into account differences in the social, political, geographical, economic and educational identities of any considered community.
During the Holocene (last ~11,700 years), societies have continuously modified the landscape of the Mediterranean Basin through changes in land-use, exerting extraordinary pressures onto the environment and adding variability to the climate. Despite its importance to current land management, knowledge of how past land-use practices have impacted the regional climate of the Basin remains largely in the scientific sphere.
The extent to which the increasingly frequent episodes of drought-induced tree decline and mortality could alter key soil biogeochemical cycles is unclear. Understanding this connection between tree decline and mortality and soils is important because forested ecosystems serve as important long-term sinks for carbon (C) and essential nutrients (e.g., nitrogen and phosphorus).
Financiado por el Ministerio de Ciencia Innovación y Universidades y la Agencia Estatal de Investigación,
a través de la Convocatoria: Maria de Maeztu 2017 (BOE 21/10/2017) siendo la referencia de nuestro expediente: MDM-2017-0714
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