You are viewing Version 2, the most recent version of this dataset.
2 version(s) available
Date of publication: December 13, 2023

Version 2

Date of publication: December 13, 2023

Type of change: Data

Description: Added metrics (and data) for the absolute values.

preview image

Global trends in ecosystem services (BES-SIM LPJ)

by Benjamin Poulter

Projections from the LPJ model from 2015-2050 using LUH2 and SSPs-RCPs, done in the BES-SIM inter-model comparison for IPBES. ...(continue reading)

DOI 10.25829/xq7a86
Citation
Poulter, B., Quesada, B. (2023). Global trends in ecosystem services (BES-SIM LPJ) (Version 2) [Dataset]. German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig. https://doi.org/10.25829/xq7a86

BES-SIMIPBESSSP scenariosRCP scenariosecosystem services

61
The title of the dataset. Global trends in ecosystem services (BES-SIM LPJ)
The date on which this version of the data was created in YYYY-MM-DD format.
A paragraph describing the dataset.
Hover to see a suggestion for a good description. Allowed:
Projections from the LPJ model from 2015-2050 using LUH2 and SSPs-RCPs, done in the BES-SIM inter-model comparison for IPBES.
Provide the DOI number of associated publications. Click Plus to add DOIs.
https://doi.org/
10.1101/2020.04.14.031716
The method of production of the original data.
Hover to see a suggestion for a minimum description. LPJ based on crop branch (with land-use and no wood harvest) is used to perform the runs.
14.12.2017, v1.2
The coverage content type describes the general content type of the resource (multiple selection possible).
The name of the Project.
The URL from the project website. https://ipbes.net/scenarios-models/expert-group-activities
The name of the person or other creator type principally responsible for creating this data.
The email of the person or other creator type principally responsible for creating this data. benjamin.poulter@nasa.gov

N/A

hpereira@idiv.de

N/A

The names of the co-creators responsible for creating this data. Click Plus to add co-creators.
Select between Creative Commons (CC) or Non-CC license.
Please select the CC license from the list. We recommend the use of CC BY 4.0

Essential Biodiversity Variables

Select the EBV class and the EBV name for the dataset. For cross-cutting use the comment at the bottom of the page for further information.
Genetic composition
Intraspecific genetic diversity
Genetic differentiation
Effective population size
Inbreeding
Other
Species populations
Species distributions
Species abundances
Other
Species traits
Morphology
Physiology
Phenology
Movement
Other
Community composition
Community abundance
Taxonomic and phylogenetic diversity
Trait diversity
Interaction diversity
Other
Ecosystem functioning
Primary productivity
Ecosystem phenology
Ecosystem disturbances
Other
Ecosystem structure
Live cover fraction
Ecosystem distribution
Ecosystem Vertical Profile
Other
Ecosystem services
Pollination
Other
Cross-cutting

Entity

Select the entity type of the dataset.
Species
Communities
Ecosystems
Other
None

Metric

Provide the name, description, units of minimum 1 metric. Click Plus to add metrics.

Scenario

If applicable, name the scenario's exercise, the version and provide a URL to the reference. https://en.wikipedia.org/wiki/Shared_Socioeconomic_Pathways

Spatial domain

Global
Continental/Regional
National
Sub-national/Local
degree
southWest lat: -90, lon: -180
northEast lat: 90, lon: 180

Temporal domain

The targeted time period between each value in the dataset.
decadal
annually
monthly
weekly
daily
Other
Irregular
Single time
Select the temporal extent of the dataset.
When the dataset represents a Single time, then use the same start and end date.
__

Environmental domain *

Terrestrial
Marine
Freshwater
Miscellaneous information about the data, not captured elsewhere. Ecosystem carbon (original name: sum of cVeg, cSoil and cLitter) for relative change in 2050 compared to 2015 and 2015 compared to 1920 was computed by Luise Quoß the 19.11.2023.
Entities
Terrestrial ecosystems