Process-based classification of rivers is widely used for assessing the effects of past
landscape disturbance, current biophysical conditions, and likely responses to future …

Bioclimatic classification is an effective approach to reflect and investigate the role of climate
in determining the potential natural vegetation distribution at different temporal and spatial …

Abstract Decision Trees (DTs) are a machine learning technique widely used for regression
and classification purposes. Conventionally, the decision boundaries of Decision Trees are …

Environmental flow standards are a management tool that can help to protect the ecosystem
services sustained by rivers. Although environmental flow requirements can be assessed …

Abstract The Shiyang River is an important ecological pillar in northwest China, sustaining
Minqin oasis and its surrounding society. However, the basin has long been plagued by …

Watershed hydrology has often focused on modelling studies of individual watersheds,
which consider each river system as unique. Classification is an alternative approach that …

Numerous studies have assessed the proficiency of AI systems, particularly large language
models (LLMs), in facilitating everyday tasks such as email writing, question answering, and …

We compared two biogeomorphic models that postulate how vegetation is intertwined in the
response and recovery of barrier island dunes. Each model was developed in a separate …

Distinct approaches to knowledge are employed in geography, a discipline which
incorporates both social and physical sciences. These approaches include the idiographic …

This study aimed to use the Hydrologic Landscapes as environmental classification method
in the Piracicaba, Capivari and Jundiaí river basins, validate and use it as an indicator of …