The GLOBIO model provides an index of biodiversity according to mean species abundance (MSA), the average population-level response across a range of species, to different stressors, including land-use change, fragmentation, and infrastructure.
Quoted from: https://storage.googleapis.com/releases.naturalcapitalproject.org/invest-userguide/latest/globio.html
The GLOBIO model provides an index of biodiversity according to mean species abundance (MSA), the average population-level response across a range of species, to different stressors, including land-use change, fragmentation, and infrastructure. The model can be used as a static assessment of how far below a pristine state the current environment is or to estimate how a change in any of the stressors would lead to a stress in biodiversity or ecosystem integrity, as indicated by MSA.
The GLOBIO methodology was developed by the United Nations Environmental Programme (UNEP, Alkemade et al. 2009) to model human impacts on biodiversity, measured by mean species abundance (MSA). Mean Species Abundance is an improvement over the more traditional species-area curve approach for two reasons. First, it gives aggregate estimates of species densities, not just species presence, which is important to represent true diversity since presence alone gives limited information about population viability (Balmford et al 2012). Second, it relates more than habitat area to changes in biodiversity by including information about the impact of fragmentation and threats from infrastructure (and climate change and nitrogen deposition if the full version of GLOBIO were implemented).
The GLOBIO method consists of a set of equations linking environmental drivers to biodiversity impact, tables of parameters to estimate the above equations, based on a broad literature review, and suggested methodologies for inputting and processing the spatial data required. We have extended the GLOBIO methodology to downscale their global approach to a landscape level.
{{htmlJSON.LinkResourceFromRepositoryOrCreate}}{{htmlJSON.create}}.
{{htmlJSON.authorshipSubmitted}}
| Title | Author | Date | Journal | Volume(Issue) | Pages | Links | Doi | Operation |
|---|
Authors: {{articleUploading.authors[0]}}, {{articleUploading.authors[1]}}, {{articleUploading.authors[2]}}, et al.
Journal: {{articleUploading.journal}}
Date: {{articleUploading.date}}
Page range: {{articleUploading.pageRange}}
Link: {{articleUploading.link}}
DOI: {{articleUploading.doi}}
The article {{articleUploading.title}} has been uploaded yet.
| Title | Author | Date | Journal | Volume(Issue) | Pages | Links | Doi | Operation |
|---|
Authors: {{articleUploading.authors[0]}}, {{articleUploading.authors[1]}}, {{articleUploading.authors[2]}}, et al.
Journal: {{articleUploading.journal}}
Date: {{articleUploading.date}}
Page range: {{articleUploading.pageRange}}
Link: {{articleUploading.link}}
DOI: {{articleUploading.doi}}
The article {{articleUploading.title}} has been uploaded yet.
{{item.name}}
.
{{item.suffix}}
.{{item.suffix}}
{{htmlJson.LinkRelatedFromRepositoryOrCreate}}. {{htmlJson.CreateNew}}>
