Representing justice in spatial land-use models: exploratory scenarios to bridge global environmental goals with local food sovereignty

DOI

Biodiversity loss and global food security are a common focus of spatial modeling efforts. Historically, food security analyses have emphasized total production, thereby focusing on availability rather than access. Assessments supporting biodiversity conservation have often communicated area-based targets or ranked spatial priorities, which may neglect land-use governance in non-priority areas. Both of these problem framings also risk overlooking justice issues which can arise when top-down planning is insensitive to the land-use needs of communities who derive their nutrition and livelihoods directly from local landscapes. We address these tensions by simulating exploratory land-use scenarios to unpack the interactions between indicators for both regional ecological intactness and food sovereignty at the global scale. Using the SSP2 socioeconomic pathway as our baseline, we provide spatially explicit global results for the year 2050 for four related scenarios. Business as Usual (BAU) considers only the projected demand for crops livestock and urban settlements. The Biodiversity scenario adds to this a demand for regional ecological intactness, and the Food Sovereignty adds a spatial restriction to protect land-dependent communities from land-grabbing. The Just Conservation scenario combines the Biodiversity and Food Sovereignty scenarios. All results are provided as 10x10km World Eckert IV global rasters.

Identifier
DOI https://doi.org/10.34894/HGAKBM
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/HGAKBM
Provenance
Creator Venier-Cambron, Camille (ORCID: 0000-0002-7675-930X)
Publisher DataverseNL
Contributor Venier-Cambron, Camille
Publication Year 2024
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Venier-Cambron, Camille (Vrije Universiteit Amsterdam)
Representation
Resource Type Dataset
Format image/tiff; application/vnd.openxmlformats-officedocument.wordprocessingml.document; application/octet-stream
Size 18612588; 14256; 3532
Version 1.0
Discipline Earth and Environmental Science; Environmental Research; Geosciences; Natural Sciences