Abstract:
Arid and Semi-Arid Landscapes (ASALs) support a substantial portion of the world's population and multiple
ecological and social functions. However, landcover outcomes in ASALs are determined by competing land uses,
which are governed by fine gradients in biophysical conditions, legacy land use policies, and complex socio-
economic drivers. Simulating these land use and land cover (LULC) interactions can promote policy that en-
hances human and ecosystem well-being but capturing dynamics at scales relevant to local livelihoods remains
challenging. To explore these interactions, we used the Land Change Modeler (LCM) to simulate spatial patterns
of LULC change from 2010 to 2018 in a multifunctional landscape in southern Kenya. Results showed that spatial
patterns of LULC transition were associated with biophysical and socio-political factors such as proximity to
existing land use types, rainfall and temperature, and land tenure arrangements. Our calibrated model achieved
83% overall correctness, with remaining errors (17%) linked to spatial misallocation. These errors were spatially
clustered, suggesting the possible influence of localized socioeconomic factors not included in our parameteri-
zation. Notably, transitions in humid–arid ecotones were consistently underestimated, reflecting the challenges
of capturing fine-scale heterogeneity in ecologically sensitive landscapes. Our findings demonstrate where
conservation objectives, agricultural expansion, and pastoral livelihoods spatially converge, highlighting land-
scape zones where policy interventions and development investments are most likely to generate trade-offs
rather than synergies under increasing climate stress. These results underscore the value of spatially explicit
modeling as a diagnostic tool for identifying priority areas where competing land-use demands and socio-
ecological vulnerabilities are most tightly coupled.
