dc.contributor | Early Warning and Assessment Division | en_US |
dc.contributor.author | Cervera, Jose Luis | en_US |
dc.contributor.author | Vila, Jose | en_US |
dc.contributor.author | Luzure, Monica | en_US |
dc.contributor.author | El Gemayel, Therese | en_US |
dc.contributor.author | Kacha, Souleiman | en_US |
dc.coverage.spatial | Global | en_US |
dc.date.accessioned | 2023-03-22T07:59:22Z | |
dc.date.available | 2023-03-22T07:59:22Z | |
dc.date.issued | 2023-03 | |
dc.identifier.uri | https://wedocs.unep.org/20.500.11822/42098 | |
dc.description | While the Measuring Progress: Environment and the SDGs (2021) report focused on understanding the interlinkages
through a statistical correlation analysis, the proposed methodology herein will further develop the statistical correlation analysis of one thematic area into a multivariable analysis by including additional socioeconomic and environmental factors that might impact the relationship between the analysed indicators. The main objective is to use the driver-pressure-state-impact-response (DPSIR) framework to investigate the relationship between actions taken by countries and their impacts on freshwater- and marine-related ecosystems as well as secondary impacts on human well being through the lens of the SDG indicators.
The methodology enables analysis of the potential impacts on freshwater- and marine-related ecosystems separately and
includes different geographical levels, based on data availability. | en_US |
dc.format | pdf | en_US |
dc.language | English | en_US |
dc.publisher | United Nations Environment Programme | en_US |
dc.relation.ispartof | Measuring Progress: Water-related Ecosystems and the SDGs | en_US |
dc.rights | Public | en_US |
dc.subject | SUSTAINABLE DEVELOPMENT GOALS | en_US |
dc.subject | ENVIRONMENTAL INDICATORS | en_US |
dc.subject | STATISTICAL METHODOLOGY | en_US |
dc.title | Chapter 3: Methodology - Measuring Progress: Water-related Ecosystems and the SDGs | en_US |