Dyna-CLUE land use model: updated multi-region application

DOI

The Conversion of Land Use and its Effects modeling framework (CLUE) was developed to simulate land use change using empirically quantified relations between land use and its driving factors in combination with dynamic modeling of competition between land use types. Being one of the most widely used spatial land use models, CLUE has been applied all over the world on different scales. In this dataverse, we provide a multi-regional application example. Instead of developing numerous individual models, the user only prepares one Dyna-CLUE model application, which then allocates land use change across different regions. Multi-regional modelling is particularly useful in larger and diverse countries, where we can expect different spatial distributions in land use changes in different regions: regions of different levels of achieved socio-economic development, regions with different topographies (flat vs. mountainous), or different climatic regions (dry vs humid) within a same country. Accounting for such regional differences also facilitates developing ecosystem services models that consider region specific biophysical characteristics. This dataverse demonstrates multi-regional land use change modeling using the country of Colombia as an example. The user will learn how to prepare the data for the model application, and how the multi-regional run differs from a single-region simulation (which is also provided in the dataverse).

This application was develop to allow for improved integration with the Integrated Economic-Environmental Modeling (IEEM) Platform for subnational assessments and increases the efficiency of the IEEM and Ecosystem Services Modeling (IEEM+ESM) workflow.

Dyna-CLUE, 2

Identifier
DOI https://doi.org/10.34894/KFDHOU
Related Identifier https://doi.org/10.18235/0002945
Related Identifier https://doi.org/10.18235/0003625
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/KFDHOU
Provenance
Creator Zagaria, Cecilia ORCID logo; Malek, Ziga ORCID logo; Verburg, Peter ORCID logo
Publisher DataverseNL
Contributor Malek, Ziga
Publication Year 2021
Rights CC0 Waiver; info:eu-repo/semantics/openAccess; https://creativecommons.org/publicdomain/zero/1.0/
OpenAccess true
Contact Malek, Ziga (Vrije Universiteit Amsterdam)
Representation
Resource Type Software; Dataset
Format application/zip; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; text/plain
Size 39450834; 39441936; 30286; 1754
Version 1.0
Discipline Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Earth and Environmental Science; Environmental Research; Geosciences; Land Use; Life Sciences; Natural Sciences