Agricultural and Forest Meteorology

Papers
(The H4-Index of Agricultural and Forest Meteorology is 48. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
Spectral distortions to momentum and scalar exchanges by non-turbulent motion and patchy landscape variability134
Editorial Board127
Paleoclimate contributes to soil carbon storage in subtropical shrublands124
Rainfall-induced changes in vertical O3 and SO2 within and above a boreal-temperate forest121
Editorial Board111
Magnitude and seasonal variation of N2O and CH4 emissions over a mixed agriculture-urban region103
Contrasting growth trends in Nothofagus pumilio upper-elevation forests induced by climate warming in the Southern Andes93
Long-term variations in the ratio of transpiration to evapotranspiration and their drivers in a humid subalpine forest89
Corrigendum to “Energy availability and leaf area dominate control of ecosystem evapotranspiration in the southeastern U.S” [Agriculture and Forest Meteorology Volume 349 (2024)/109960]89
Assessing evapotranspiration in rainfed and irrigated Alfalfa in the U.S. southern great plains using eddy covariance measurements and OpenET products87
An investigation of corrective approaches for uncertain winds and analysis of impacts on smoke model performance86
The dynamic trajectory of carbon dioxide removal from terrestrial ecosystem restoration: A critical review81
Summer heat induced the decline of Pinus taiwanensis forests at its southern limit in humid Subtropical China80
Characterizing turbulence at a forest edge: A vorticity budget analysis around a canopy77
Interannual climatic sensitivity of surface energy flux densities and evapotranspiration in a disturbed and rewetted ombrotrophic bog75
Heat waves associated with higher methane emissions from dairy manure: A 6-year study73
Characteristics and controlling factors of stable isotopes in precipitation based on 9-year monitoring data in the monsoon transition zone of the Tibetan Plateau72
On the vertical variability of turbulent heat fluxes within and above a deciduous forest67
Scaling dendroecological studies on oaks combining different sampling schemes along a regional climatic gradient67
Divergent seasonal patterns and drivers of soil respiration in alpine forests of northwestern China66
Tracking canopy conductance and transpiration of CAM-plants Agave sisalana with carbonyl sulfide fluxes65
Invasive tree species benefit from ecohydrological niche segregation and deeper soil water uptake in a Mediterranean riparian forest63
Historical spatiotemporal trends in global mangrove productivity and its response to the environment: Perspectives from multiple satellite-based productivity proxies62
Surviving a megadrought: shifts in climate sensitivity of an austral conifer in Chile due to persistent water shortage62
Canopy greenness, atmospheric aridity, and large rain events jointly regulate evapotranspiration partitioning in a temperate semiarid shrubland62
The critical role of temperature in determining optimal planting schedule for cotton: A review60
Integrating data assimilation, crop model, and machine learning for winter wheat yield forecasting in the North China Plain59
Editorial Board59
Increases in sap flow and storage can compensate for successively greater losses of conducting area in large trees58
Evaluation of data assimilation strategies on improving the performance of crop modeling based on a novel evapotranspiration assimilation framework58
Meteorological factors associated with dry thunderstorms and simultaneous lightning-ignited wildfires: The 15 June 2022 outbreak in Catalonia58
Invariable hydraulics and rapidly tapering cross-sectional areas of lateral roots reduce water transport capacity to half at the crown periphery of mature Scots pine58
Proxy detection of wheat water stress from photochemical reflectance index and land surface temperature data57
The role of surface energy fluxes in determining mixing layer heights56
Influence of vegetation phenological carryover effects on plant autumn phenology under climate change56
Seasonality of albedo and fraction of absorbed photosynthetically active radiation in the temperate secondary forest ecosystem: A comprehensive observation using Qingyuan Ker towers56
Globally assessing the hysteresis between sub-diurnal actual evaporation and vapor pressure deficit at the ecosystem scale: Patterns and mechanisms54
Comparison between lower-cost and conventional eddy covariance setups for CO2 and evapotranspiration measurements above monocropping and agroforestry systems54
Annual dynamics of net ecosystem carbon dioxide exchange in differently managed tallgrass prairies under variable rainfall53
A combined effect of heat and drought limits the growth of Central European silver fir52
Drought resistance of major tree species in the Czech Republic52
Predicting monthly near-surface soil temperature from air temperature and the leaf area index51
Spatial variations in the response of spring onset of photosynthesis of evergreen vegetation to climate factors across the Tibetan Plateau: The roles of interactions between temperature, precipitation51
Drought constrains acorn production and tree growth in the Mediterranean holm oak and triggers weak legacy effects50
Drought in May inhibited conifer growth more seriously with climate warming in the southeastern Tibetan Plateau49
Dynamics of global dryland vegetation were more sensitive to soil moisture: Evidence from multiple vegetation indices49
Theoretical study on dew formation in plant canopies based on a one-layer energy-balance model49
Evaluating the sensitivity of vegetation indices to leaf area index variability at individual tree level using multispectral drone acquisitions49
A multi-year study of ecosystem production and its relation to biophysical factors over a temperate peatland48
Urban greening mitigates surface warming induced by urbanization in China48
Estimation of rice yield using multi-source remote sensing data combined with crop growth model and deep learning algorithm48
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