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Changes in local bird diversity (cSAR)

Dataset Creator: Ines Martins
Publication Year: 2018

Changes in bird diversity at the grid cell level caused by land-use, estimated by the cSAR model (Pereira et al). It reports changes in species number (percentage and absolute), relative to 1900, for all bird species, forest bird species, and non-forest bird species in each cell. Uses the LUH 2.0 projections for land-use, and the PREDICTS coefficie ...

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Big DataRemote SensingBirdscSAR modelLUH 2.0 projectionsPREDICTSland-use

Title:

Changes in local bird diversity (cSAR)

Publication Year:

2018

Creator

Name:

Ines Martins

E-mail: ines.martins@idiv.de
Organisation:

German Centre for Integrative Biodiversity Research (iDiv)

Contact

Name:

Ines Martins

E-mail: ines.martins@idiv.de
Organisation:

German Centre for Integrative Biodiversity Research (iDiv)

Essential Biodiversity Variables (EBVs)

EBV class

Community composition

EBV name

Taxonomic diversity

Spatial domain

Spatial extent:

Global

Spatial resolution:

1 degree

Spatial accuracy:

1 degree

Temporal domain

Temporal resolution:

Decade

Temporal extent:

From 1900-01-01 to 2015-01-01

Biological entity

Entity type:

Species Taxonomy

Taxonomic Coverage:

All birds, Non-forest birds, forest birds

Environmental domain

Realm:

Terrestrial

Metric

Name:

Change in the number of species (%)

Description:

Percentage change in the number of species relative to 1900 (e.g. -50 corresponds to a decrease in 50% of the number of species in the cell)


Scenario

Name:

Historical estimated trends

Description:

Estimated trends from reconstructed historical land use


License:

CC BY 4.0

External links to the project: https://www.biorxiv.org/content/10.1101/2020.04.14.031716v2
Description:
Keywords: Big DataRemote SensingBirdscSAR modelLUH 2.0 projectionsPREDICTSland-use
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