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ConservaTEAM

Evaluating the conservation effectiveness of alternative land management scenarios using a state-of-the-art eco-evolutionary modelling platform

Total Cost €

0

EC-Contrib. €

0

Partnership

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Project "ConservaTEAM" data sheet

The following table provides information about the project.

Coordinator
THE UNIVERSITY COURT OF THE UNIVERSITY OF ABERDEEN 

Organization address
address: KING'S COLLEGE REGENT WALK
city: ABERDEEN
postcode: AB24 3FX
website: http://www.abdn.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website http://www.abdn.ac.uk
 Total cost 195˙454 €
 EC max contribution 195˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2015
 Duration (year-month-day) from 2015-09-01   to  2017-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE UNIVERSITY COURT OF THE UNIVERSITY OF ABERDEEN UK (ABERDEEN) coordinator 195˙454.00

Map

 Project objective

Human population growth is placing ever increasing demands on using land for housing and for food and fuel production1. This demand is driving rapid land use change across much of the globe, in particular in developing countries, which poses a major threat to biodiversity and the ecosystem services it provisions. Simultaneously, climate is changing rapidly, and thus biodiversity faces the joint threat of land use and climate change; not only will species need to be able to persist in heavily degraded landscapes, but they are likely to have to shift their ranges through highly fragmented habitat patches embedded within a hostile matrix. A key role for applied ecology over the coming years will be to provide clear recommendations on how conservation activities can optimise the landscape structure such that as much biodiversity as possible is likely to be retained. There is a need for new tools that can help stakeholders, including land planners and managers, make informed decisions. In this project, I will use a novel, individual-based modelling platform, RangeShifter to test, in silico, the likely effectiveness of alternative future land management scenarios in terms of their ability to protect forest bird biodiversity. As a case study, the project will focus on the Eastern Arc Mountain Range (EAM) in Kenya and Tanzania, a region of exceptional biodiversity and endemism, but which has lost most (80 %) of its native forest cover. An important aspect of the project is that it seeks co-production of knowledge with stakeholders, who will be actively involved throughout in terms of developing and evaluating the effectiveness of alternative scenarios.

 Publications

year authors and title journal last update
List of publications.
2017 Job Aben, Petri Pellikka, Justin M. J. Travis
A call for viewshed ecology: Advancing our understanding of the ecology of information through viewshed analysis
published pages: , ISSN: 2041-210X, DOI: 10.1111/2041-210X.12902
Methods in Ecology and Evolution 2019-06-18
2016 Job Aben, Greta Bocedi, Stephen C. F. Palmer, Petri Pellikka, Diederik Strubbe, Caspar Hallmann, Justin M. J. Travis, Luc Lens, Erik Matthysen
The importance of realistic dispersal models in conservation planning: application of a novel modelling platform to evaluate management scenarios in an Afrotropical biodiversity hotspot
published pages: 1055-1065, ISSN: 0021-8901, DOI: 10.1111/1365-2664.12643
Journal of Applied Ecology 53/4 2019-06-18

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The information about "CONSERVATEAM" are provided by the European Opendata Portal: CORDIS opendata.

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