Tomas André
Environment & Planning Manager at Forestry England- Claim this Profile
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Bio
Experience
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Forestry England
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United Kingdom
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Government Administration
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300 - 400 Employee
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Environment & Planning Manager
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Apr 2023 - Present
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Graduate Leadership Programme
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Sep 2021 - Sep 2023
Project manager on the Forestry England Graduate Leadership Programme. Experience working within district (South England) and national teams on strategic and priority projects. Areas of work include:-Forest Planning-Woodland Creation-Ecotourism-Commercial Modelling
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UNEP-WCMC
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United Kingdom
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Environmental Services
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200 - 300 Employee
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Restoration Intern
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Jun 2020 - Aug 2020
Researching ecosystem restoration methods and prioritisation frameworks to contribute to the UN Decade on Ecosystem Restoration. Developed a novel database on contemporary African restoration efforts and conducted geo-statistical analysis (ArcGIS Pro + QGIS) to identify priority restoration habitat. Researching ecosystem restoration methods and prioritisation frameworks to contribute to the UN Decade on Ecosystem Restoration. Developed a novel database on contemporary African restoration efforts and conducted geo-statistical analysis (ArcGIS Pro + QGIS) to identify priority restoration habitat.
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Forestry and Land Scotland
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United Kingdom
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Government Administration
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200 - 300 Employee
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Intern - Environment and Planning
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Jul 2019 - Aug 2019
Researcher with the Planning and Environment team. Field surveying and desk-based research to improve models of natural regeneration of native woodland species in the Cairngorms NP. Introduced methods of disturbance research using UAV imagery and photogrammetry to analyse patterns of wind fall in commercial forests, and improve monitoring efficiencies. Researcher with the Planning and Environment team. Field surveying and desk-based research to improve models of natural regeneration of native woodland species in the Cairngorms NP. Introduced methods of disturbance research using UAV imagery and photogrammetry to analyse patterns of wind fall in commercial forests, and improve monitoring efficiencies.
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Education
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University of Cambridge
Geography, 1st Class