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Validation data and analysis scripts — Tree-cover loss and associated uncertainty estimates in Nigeria (2001–2020)
This dataset accompanies the study "Quantifying Tree-Cover Loss and Associated Uncertainty in Satellite-Derived Estimates in Nigeria" (Mahmud et al., 2026). It includes the reference data used to assess the accuracy of the Hansen Global Forest Change product (v1.11) across Nigeria between 2001 and 2020, along with the analysis scripts used to reproduce the bias-corrected estimates.
Rainfall-adjusted vegetation trends and environmental drivers across Nigeria's drylands (2000–2020)
This dataset accompanies the manuscript "Rainfall-adjusted vegetation dynamics and non-climatic drivers across Nigeria's drylands" and contains the processed geospatial data used to assess long-term vegetation change across northern Nigeria between 2000 and 2020. The dataset comprises Local Government Area (LGA)-level annual observations derived from Google Earth Engine using publicly available remote sensing products.
Simulating tree responses to elevated CO 2 and climate change in agroforestry system
Abstract This study extends the Hi-sAFe agroforestry model by incorporating the effects of elevated atmospheric CO2 on tree growth. Hi-sAFe is a process-based biophysical model that represents tree–crop interactions, but until now lacked a mechanism to simulate CO2-driven physiological responses of trees.
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