logo

Bridging experimental and modelling approaches to predict marine native and invasive hotspots under climate change

Sector: Geothermal • Location: Spain

Source: EU Funding & Tenders Portal

Project
Ended

The amplitude and frequency of extreme events, such as marine heatwaves, are increasing with climate change in the European coasts. The loss of native foundational species (macroalgae and seagrasses) will open windows of opportunity for invasive species, a major threat to Europe's biodiversity that has social and economic impacts. However, our ability to predict the future distribution of marine h

Project Information FAQ

Project Information

4 Q
The project “Bridging experimental and modelling approaches to predict marine native and invasive hotspots under climate change” is an infrastructure initiative in the Geothermal sector, located in Spain. 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 amplitude and frequency of extreme events, such as marine heatwaves, are increasing with climate change in the European coasts. The loss of native foundational species (macroalgae and seagrasses) will open windows of opportunity for invasive species, a major threat to Europe's biodiversity that has social and economic impacts. However, our ability to predict the future distribution of marine habitat-forming species under climate change is yet limited. Recently, physiological thermal limits obtained from mesocosm experiments have been combined with species distribution models (SDMs) to produce more consistent predictions in the form of mechanistic or hybrid models. However, mechanistic models remain mostly untested and the existing approaches do not provide an efficient tool to produce multi-species models suitable to identify hotspots of species at risk of extinction and hotspots for invasive macrophytes. MarHot aims at filling this gap by providing an innovative framework to integrate physiological thermal limits into SDMs in order to anticipate future redistributions of marine coastal species. Thanks to an interdisciplinary collaborative research, cutting-edge mesocosms set-ups provided by the hosts and innovative approaches to constrain SDM outputs with experimental evidence, we will investigate multi-species range shifts in response of marine heatwaves. MarHot will take advantage of recent analytical tools to detect extreme thermal events and the increasing availability of global databases on thermal tolerance limits. The project will provide a powerful analytical framework for mechanistic models and open source software for large-scale prediction of coastal macrophyte hotspots under future scenarios of marine heatwaves. MarHot outputs will contribute to achieving the Development Goals and Biodiversity regulations adopted by the EU, placing its researchers at the forefront of biodiversity conservation in the face of climate change.

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