Results 61 to 70 of about 11,020 (257)
ABSTRACT Climate change is making water availability more uncertain, with growing consequences for the productivity and long‐term sustainability of tropical and subtropical fruit orchards. Mangifera indica L. and Persea americana Mill. both require large amounts of water to sustain growth and productivity.
Eleonora Cataldo
wiley +1 more source
Embedded physical constraints in machine learning to enhance vegetation phenology prediction
Vegetation phenology plays a pivotal role in ecological processes on terrestrial surfaces and the interactions between the biosphere and atmospheric feedback. Current attempts to retrieve vegetation phenology have primarily depended on vegetation indices
Mengying Cao, Qihao Weng
doaj +1 more source
ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin +4 more
wiley +1 more source
Vegetation serves as an indicator of ecological change, and phenology is an important indicator for evaluating vegetation growth and development. Analyzing the spatiotemporal characteristics of vegetation phenology and its driving factors is of great ...
Jiahui Yao, Haiyong Ding
doaj +1 more source
ABSTRACT Bats have unique immunological characteristics among vertebrates. Understanding how the immune system responds during the life cycle of bat populations is crucial for grasping how their defenses against infection vary during critical life events.
David Alfonso Rivera‐Ruiz +6 more
wiley +1 more source
Estuarine coastal wetland are vulnerable zones of the Earth’s ecosphere, and hygrophilous vegetation responds sensitively to climate change. Vegetation phenology is a key component of global climate change research.
Ruyun Liu +9 more
doaj +1 more source
Vegetation phenology is highly sensitive to climate change, and an examination of vegetation phenology across diverse climatic conditions is crucial for identifying key factors influencing vegetation dynamics.
Yutong Liang +5 more
doaj +1 more source
Remote-sensing phenology detection can compensate for deficiencies in field observations and has the advantage of capturing the continuous expression of phenology on a large scale.
Cong Wang +5 more
doaj +1 more source
Framework illustrating the comparison of different reference evapotranspiration (ETo) estimation methods and the integration of baseline ETo, crop water requirement (CWR), and irrigation water requirement (IWR) calculations with downscaled CMIP6 climate projections under SSP245 and SSP585 scenarios for the mid‐century and late‐century periods across ...
Umesh Kumar Sujakhu +3 more
wiley +1 more source
Plant phenology is often used as an indicator of ecological processes and responses to changing environmental conditions. Remote sensing enables phenological monitoring across space and time, yet separating vegetation composition or environmental drivers
Javier Lopatin +2 more
doaj +1 more source

