logo

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

Sector: Electric Vehicles (EVs) • Location: Germany, Italy, Switzerland, Netherlands, United Kingdom, Austria, Denmark

Source: EU Funding & Tenders Portal

Project
Ended

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

Project Information FAQ

Project Information

4 Q
The project “Detecting changes in essential ecosystem and biodiversity properties – towards a Biosphere Atmosphere Change Index: BACI” is an infrastructure initiative in the Electric Vehicles (EVs) sector, located in Germany, Italy, Switzerland, Netherlands, United Kingdom, Austria, Denmark. Taiyo aggregates data on it from EU Funding & Tenders Portal.

Want to explore the full details? View the full report

Participants

Sponsoring Agency

Obfuscated Data

Company

Obfuscated Data

Status

Original status

ended

Taiyo status

Obfuscated Data

Taiyo last update

00-00-0000

Available timestamps

00-00-0000

Available timestamp type

Obfuscated Data

Contact

Contact name

Obfuscated Data

Phone

0000000000

Email

ObfuscatedData@email.com

Address

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Description

Description

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.

Original sub-sector

Obfuscated

Original Currency

USD

Original budget

000000000000000

Procurement method

Obfuscated Data

Budget

000000000000000

Location

Region

Obfuscated

Country

Obfuscated

State

Obfuscated Data

County

Obfuscated

Location

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Source

Source reliability

High

Data quality score

100%

Source

Obfuscated Data

URL

obfuscated_data,obfuscateddata.com

More Details

Project Type

Obfuscated Data

Article Published Date

Obfuscated Data