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BatPine - Promoting the resilience of ecosystem services to climate change: a case study with pine plantations, pine processionary moth and bats

BatPine - Promoting the resilience of ecosystem services to climate change: a case study with pine plantations, pine processionary moth and bats

Coniferous forests make a significant contribution to Portuguese GNP, yet they have been suffering severe losses since the late 1990s due to the plague of the invasive pine processionary moth. In here, we present a project that aims to promote pest suppression services by bats at pine stands. Using an innovative approach, we propose to combine metabarcoding data, ecological modelling and bat food-web analyses to produce maps and guidelines that may improve the resilience of these services considering predicted climate change. Our results have the potential to produce high profile scientific research while making a contribution for the sustainability of the exploitation of pine stands. The produced maps and guidelines will be provided to the forestry industry, thus transferring skills from cutting edge research to tackle current societal challenges.

Team
Principal Investigator
Hugo Rebelo

Hugo Rebelo

Position: Auxiliary Researcher
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Researchers
Raquel Godinho

Raquel Godinho

Position: Principal Researcher
Groups:
ECOGEN, WILDEcol
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Vanessa Mata

Vanessa Mata

Position: Post-Doc Researcher
Groups:
APPLECOL, ROCKinBIO
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External Collaborators
Francisco Amorim

Francisco Amorim

Position: Collaborator
Group:
APPLECOL
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Other members
Gareth Jones (University of Bristol), Tom Gilbert (University of Copenhagen), Orly Razgour (University of Southampton), Andreia Penado (University of Lisbon), Ruben Heleno (University of Coimbra)
State
Ongoing
Proponent Institution
ICETA-UP (CIBIO-InBIO)
Funded by
FCT
Dates
2018 (Duration: 2 years)
Participant Institutions
CIBIO-InBIO, Natural History Museum of Denmark, University of Bristol, University of Coimbra, University of Copenhagen, University of Lisbon, University of Southampton
Reference
AAC/02/SAICT/2017/31731
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