Global assessment and mapping of changes in mesoscale landscapes: 1992–2015

Abstract

Monitoring global land cover changes is important because of concerns about their impact on environment and climate. The release by the European Space Agency (ESA) of a set of worldwide annual land cover maps covering the 1992-2015 period makes possible a quantitative assessment of land change on the global scale. While ESA land cover mapping effort was motivated by the need to better characterize global and regional carbon cycles, the dataset may benefit a broad range of disciplines. To facilitate utilization of ESA maps for broad-scale problems in landscape ecology and environmental studies, we have constructed a GIS-based vector database of mesoscale landscapespatterns of land cover categories in 9km × 9km tracts of land. First, we reprojected ESA maps to the Fuller projection to assure that each landscape in the database has approximately the same size and shape so the patterns of landscapes at different locations can be compared. Second, we calculated landscape attributes including its compositions in 1992 and 2015, magnitude of pattern change, categories transition matrix for detailed characterization of change, fractional abundances of plant functional types (PFTs) in 1992 and 2015, and change trend type -a simple, overall descriptor of the character of landscape change. Combining change trends and change magnitude information we constructed a global, thematic map of land change; this map offers a visualization of what, where, and to what degree has changed between 1992 and 2015. The database is SQL searchable and supports all GIS vector operations. Using change magnitude attribute we calculated that only 22% of total landmass experienced significant landscape change during the 1992-2015 period, but that change zone accounted for 80% of all pixel-based transitions. Dominant land cover transitions were forest → agriculture followed by agriculture → forest. Using PFTs attributes to calculate global aggregation of gross and net changes for major PFTs yielded results in agreement with other recent estimates.

Stochastic, Empirically Informed Model of Landscape Dynamics and Its Application to Deforestation Scenarios

“…Database used in this research is available from the Center for Open Science (Nowosad et al, 2019). Database used in this research is available from the Center for Open Science (Nowosad et al, 2019).…”

“…This work was supported by the University of Cincinnati Space Exploration Institute. Database used in this research is available from the Center for Open Science (Nowosad et al, 2019).…”

Information Theory as a consistent framework for quantification and classification of landscape patterns

“…Global land cover maps offer a large dataset which contains rich variety of land cover patterns. We use a dataset (Nowosad et al, 2019) containing over a 1,600,000 (9km × 9km) landscapes extracted worldwide from the 300m resolution ESA 2015 global land cover map (ESA, 2017). To make the landscape more lucid, we reclassified the ESA map from the original 22 classes to 9 classes as listed in the legend to Fig.…”

Survey of Community Livelihoods and Landscape Change along the Nzhelele and Levuvhu River Catchments in Limpopo Province, South Africa

“…This is despite concerted attempts by human beings to promote environmental protection and ecological restoration through behavioral stimuli aimed at rational actions and interventions [42,43]. Hypothetically, in order to unify nature and human interactions, it is important to synthesize local community perceptions of landscape change and its drivers with the broader sustainable environmental planning and management requirements [41,[44][45][46][47][48][49]. Therefore, a study that investigates landscape changes and the possible drivers and effects from the perspective of socio-psychological or community perception is particularly desirable in South Africa.…”