- To preserve access to the original rapid land cover change data used by the Millennium Ecosystem Assessment (MA) and other related research.
- The Millennium Ecosystem Assessment: MA Rapid Land Cover Change provides data and information on global and regional land cover change in raster format for agriculture (cropland increase and disease), deforestation (forest mask and hotspots), desertification (hotspot areas of degraded land and degradation types), and fires (most frequent and exceptional fires). Urbanization data are in vector format for cities with the highest rate of change (1995-2015), largest cities (2000), and the overlay of these two data layers for the year 2000. This assessment identified the need to synthesize what is known about areas of rapid land cover change around the world in order to evaluate how the provision of ecosystem goods and services has changed.
- Recommended Citation(s)*:
Millennium Ecosystem Assessment. 2005. Millennium Ecosystem Assessment: MA Rapid Land Cover Change. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4G44N76. Accessed DAY MONTH YEAR.
Lepers, E., E.F. Lambin, A.C.Janetos, R. DeFries, F. Achard, N. Ramankutty, and R.J. Scholes. 2005. A Synthesis of Information on Rapid Land-cover Change for the Period 1981- 2000. BioScience 55 (2): 115-124. http://dx.doi.org/10.1641/0006-3568(2005)055[0115:ASOIOR]2.0.CO;2.
* When authors make use of data they should cite both the data set and the scientific publication, if available. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Please visit the data citations page for details. Users who would like to choose to format the citation(s) for this dataset using a myriad of alternate styles can copy the DOI number and paste it into Crosscite's website.
† For EndNote users, please check the Research Note field for issues with importing authors that are organizations when using the ENW file format.
- Available Formats:
- vector, raster