“…To date, there is a lack of novel and holistic approaches to develop reliable scenario-based modeling projections to support suitable, cost-effective adaptation strategies to mitigate the negative consequences of climate and land use change on water-related ecosystem services. To this end, comprehensive hydrological modeling approaches in both data-rich (e.g., Bogena et al, 2018) and data-scarce environments (e.g., Daneshvar et al, 2021), scenariodriven simulations (e.g., Rahaman et al, 2022), and data-driven approaches (e.g., Kalu et al, 2022) are important to understand the land-atmosphere feedback and agroforestry ecosystem dynamics. However, model performance depends on data quality and availability (Shen et al, 2022).…”