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Detecting changes in essential ecosystem and biodiversity properties – towards a Biosphere Atmosphere Change Index: BACI

Detecting changes in essential ecosystem and biodiversity properties – towards a Biosphere Atmosphere Change Index: BACI

Objective

The alarming rate of biodiversity loss and ecosystem transitions make it clear that new strategies are required to sustain functioning of the coupled ecological-societal system. Existing space data archives and data streams from the ESA Sentinels, offer unprecedented opportunities to provide rapid, high quality indicators necessary for informed management of key ecosystem services. Yet, it remains largely unclear how space and ground-based observations can be optimally integrated to generate products required by end user communities (Secretariat of the Convention on Biological Diversity, 2014). By fusing extensive expertise on optical and radar remote sensing, ground data on ecosystem state and function, “big data” scientists, and active participation of user groups, BACI will advance this integration. BACI will translate space data to new variables (not directly observable from space) that encode ecosystem functional properties and status metrics. This will empower concepts of “essential biodiversity variables”. Advanced machine learning methods will be employed to reveal new and fundamental relationships between space observations and ecosystem status. BACI will incorporate a wide range of original data and downstream data products specifically targeting needs for early-warning systems, including a novel “Biosphere-Atmosphere Change Index”. We will prioritize selected key European and African regions now undergoing massive societal-ecological transformations, offering perspective towards operational assessments. A formal attribution framework will disentangle climate-induced ecosystem changes and socioeconomic/ecological transformation processes. Overall, BACI will advance usage of European space data to monitor relevant vegetation traits, status, and ecosystem functioning. By capitalizing on existing datasets, we will prototype new algorithms to rapidly implement these metrics and thus space-to-ground integration of the new ESA Sentinels.

Coordinator

MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV

Address

Hofgartenstrasse 8
80539 Muenchen

Germany

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 717 000

Participants (11)

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UNIVERSITA DEGLI STUDI DELLA TUSCIA

Italy

EU Contribution

€ 290 000

EIDGENOESSISCHE FORSCHUNGSANSTALT WSL

Switzerland

FRIEDRICH-SCHILLER-UNIVERSITAT JENA

Germany

EU Contribution

€ 588 875

WAGENINGEN UNIVERSITY

Netherlands

EU Contribution

€ 350 750

UNIVERSITY COLLEGE LONDON

United Kingdom

EU Contribution

€ 246 367,50

UNIVERSITAET KLAGENFURT

Austria

EU Contribution

€ 233 614,20

AARHUS UNIVERSITET

Denmark

EU Contribution

€ 310 000

REZATEC LIMITED

United Kingdom

EU Contribution

€ 175 625

SCIENCE AND TECHNOLOGY FACILITIES COUNCIL

United Kingdom

UNITED KINGDOM RESEARCH AND INNOVATION

United Kingdom

EU Contribution

€ 31 687,50

UNIVERSITAET FUER BODENKULTUR WIEN

Austria

EU Contribution

€ 53 939,55

Project information

Grant agreement ID: 640176

Status

Closed project

  • Start date

    1 April 2015

  • End date

    31 March 2019

Funded under:

H2020-EU.2.1.6.

  • Overall budget:

    € 3 322 858,75

  • EU contribution

    € 2 997 858,75

Coordinated by:

MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV

Germany