Effects of extreme climate on hydrological dynamics in dryland apple orchards: a modeling study
Yumeng Yang; Qi Liu; Xiaodong Gao; Xiaoya Shao; Min Yang; Xining Zhao · 2026 · Agricultural Water Management
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
In the past decades, extreme precipitation and drought have increased in both intensity and frequency in global drylands, threatening the sustainability of agricultural systems. To address this challenge, this study refined the process-oriented STEMMUS (simultaneous transfer of energy, mass, and momentum in unsaturated soil) model by introducing a dynamic leaf area index (LAI) development sub-module, and defined scenarios incorporating variations in precipitation amount, precipitation intensity, and temperature. These scenarios elucidate the response patterns of shallow and deep soil moisture
Abstract by Yumeng Yang; Qi Liu; Xiaodong Gao; Xiaoya Shao; Min Yang; Xining Zhao, Agricultural Water Management (2026) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Insecticides in Bait Spray Solutions: Validation, Determination, and Stability: The Role of Trophic Attractants
Negative / Null Result ReportFermented Aloe vera Juice: A Prebiotic Potential and Metabolite Profile Analysis
Negative / Null Result ReportZmiany chemicznych właściwości gleby w zależności od systemu nawożenia
Negative / Null Result ReportRoot, Yield, and Quality of Alfalfa Affected by Soil Salinity in Northwest China
Negative / Null Result ReportStudy on Illumination Intensity and Duration of LED Light Sources for a Weaned Piglet House without Natural Light
Negative / Null Result ReportEFFECT OF BIO HEALTH, TECAMIN MAX AND BENZYL ADENINE ON GROWTH CHARACTERISTICS OF SWEET ORANGE SEEDLINGS
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: DOAJ · DOI 10.1016/j.agwat.2025.110074