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Poster Title

Spatiotemporally dynamic drivers of global land cover and land use change in the past century

AuthorsAtul Jain (Unlicensed) Xiaoming Xu (Unlicensed) Katherine Calvin (Unlicensed)
GroupLand
Experiment
Poster CategoryEarly Result
Submission TypePresentation
Poster LinkACME2017_AtulJain_June4.pdf



Abstract

Uncovering the historical land cover and land use change (LCLUC) drivers is vital for projecting the future LCLUC. Due to the differences from spatiotemporal scales, methods and LCLUC datasets, previous studies have not reached a consensus regarding the global LCLUC drivers in terms of biophysical and socioeconomic aspects. Here we present a global scale estimation of the biophysical and socioeconomic drivers of several dominant LCLUC types, e.g. deforestation, agriculture intensification, and urbanization over the past century (1900~2015). The LCULC drivers are extremely complicated with great variances in both spatial and temporal scales. More advanced models are needed to account for the spatial and temporal heterogeneities. We first use a time-series segmentation technique to identify different periods for each LCLUC type, and analyze the key LCLUC features within each period globally. Then we detect the hotspot regions in term of Agro Ecological Zones (AEZs) for each LCLUC type. Finally, we employ the geographically weighted logistic regression to assess the spatially explicit drivers of LCLUC in each period.

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