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LIFEPLAN SIGNED

A Planetary Inventory of Life – a New Synthesis Built on Big Data Combined with Novel Statistical Methods

Total Cost €

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EC-Contrib. €

0

Partnership

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 LIFEPLAN project word cloud

Explore the words cloud of the LIFEPLAN project. It provides you a very rough idea of what is the project "LIFEPLAN" about.

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Project "LIFEPLAN" data sheet

The following table provides information about the project.

Coordinator
HELSINGIN YLIOPISTO 

Organization address
address: YLIOPISTONKATU 3
city: HELSINGIN YLIOPISTO
postcode: 14
website: www.helsinki.fi

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 Finland [FI]
 Total cost 12˙620˙310 €
 EC max contribution 12˙620˙310 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2019-SyG
 Funding Scheme ERC-SyG
 Starting year 2020
 Duration (year-month-day) from 2020-04-01   to  2026-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    HELSINGIN YLIOPISTO FI (HELSINGIN YLIOPISTO) coordinator 4˙721˙850.00
2    SVERIGES LANTBRUKSUNIVERSITET SE (UPPSALA) participant 5˙064˙840.00
3    DUKE UNIVERSITY US (DURHAM NC) participant 2˙833˙620.00

Map

 Project objective

Biodiversity underlies ecosystem functioning. To achieve the basis for a sustainable management of natural resources under current environmental change, we thus need a unified theory of the forces structuring vast sets of ecosystems and taxonomical groups on Earth. For the first time, such a synthesis is now within reach, based on a recent revolution in sampling methodology, globally relevant ecological data, and advances in statistical methods for linking immense data to community ecological theory. In LIFEPLAN, we bring together the key expertise needed to generate and interpret Big Ecological Data for a global synthesis of biotic patterning across our planet: world leaders in community ecology, methods for automated species recognition, and Bayesian statistics for immense data. Our objectives are to generate a new understanding of biodiversity patterns and dynamics by developing fundamentally new methods for big data statistics. To this end, we will generate fully standardized, global big data on a range of species groups, thus allowing quantification of variation in ecological communities at spatial scales covering six orders of magnitude (from 0.1 km to 10000 km), across tens of thousands of species. The resulting data motivate the development of transformative big data statistics, in particular highly scalable algorithms for spatio-temporal data, as well as methods for automated species identification from DNA, audio and image samples. As a key deliverable, we will develop global joint species distribution models describing the spatio-temporal structure of life on Earth. Working together will allow each of us to tackle what we regard as the ultimate challenges in our own fields, while simultaneously collaborating around solutions changing the face of modern biodiversity science. Now is the time for this project, as the big data and big methods emerging today coincide with a great need for global understanding of biodiversity structure and dynamics.

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

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