Article
Mathematics
Cristhian Leonardo Urbano-Leon, Manuel Escabias, Diana Paola Ovalle-Munoz, Javier Olaya-Ochoa
Summary: In this paper, we study the problem of comparing functional data in Functional Data Analysis (FDA) where the existing summary statistics are not sufficient. We present a coherent redefinition of some common summary statistics to solve comparability problems and discuss the functional forms coherence of some statistics already present in the FDA. Simulation study and application examples are provided to demonstrate the effectiveness and consistency of our proposed variance.
Article
Agronomy
Pradeep Wagle, Prasanna H. Gowda, Brian K. Northup, James P. S. Neel
Summary: Accurately determining productive water use (i.e., transpiration, T, component of evapotranspiration, ET) is crucial for improving ecosystem water use efficiency (EWUE) and developing water-saving management practices. This study compared transpiration and evaporation patterns in conventional till and no-till canola fields, finding differences in recovery of canola stands and the added value of transpiration estimates for more meaningful EWUE estimates during periods of higher evaporation.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Environmental Sciences
Noman Ali Buttar, Yongguang Hu, Josef Tanny, Ali Raza, Yasir Niaz, Muhammad Imran Khan, Naeem Saddique, Abid Sarwar, Ahmad Azeem, Fiaz Ahmed, Muhammad Bilal Idrees
Summary: Evapotranspiration is essential for irrigation and water resource management. The eddy covariance (EC) method is commonly used to directly measure evapotranspiration, but it is costly and complex. The flux variance (FV) method is a low-cost alternative that estimates sensible heat flux using air temperature measurements. This study compared the performance of the FV method with direct EC measurements and found good agreement for both sensible and latent heat fluxes.
Article
Engineering, Civil
Han Chen, Jinhui Jeanne Huang, Hong Liang, Weimin Wang, Han Li, Yizhao Wei, Albert Z. Jiang, Pengwei Zhang
Summary: This study determined urban evaporation and transpiration (Ei) using observational and modeling approaches and found that it plays a crucial role in urban energy balance and turbulent transport processes. Urban Ei exhibits highly intermittent temporal patterns during rainy periods, contributing to mitigating urban heat island effect and enhancing the turbulent transport efficiency of latent heat flux.
JOURNAL OF HYDROLOGY
(2023)
Article
Agronomy
Sung-Ching Lee, Andreas Christen, T. Andrew Black, Rachhpal S. Jassal, Ferdinand Briegel, Zoran Nesic
Summary: A new gap-filling model, FVS-ANN, combining FVS partitioning approach with ANN technique, was proposed for filling missing data in EC-measured CO2 fluxes. Results showed small differences in NEP values among different models each year, indicating the reliability of estimated NEP when any model was used for gap-filling. However, significant discrepancies were found in annual photosynthesis and respiration estimates among the four models.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Physics, Nuclear
Takuya Hirose, Nobuhito Maru
Summary: In a six dimensional SU(2) gauge theory with higher dimensional operators compactified on a torus with magnetic flux, we further studied the cancellation of one-loop corrections to the scalar mass. Our explicit diagrammatic calculations show that even with the leading terms of the higher dimensional operators, these corrections are exactly canceled.
JOURNAL OF PHYSICS G-NUCLEAR AND PARTICLE PHYSICS
(2021)
Article
Meteorology & Atmospheric Sciences
Miriam Hounsinou, Ossenatou Mamadou, Basile Kounouhewa
Summary: This study investigates the behavior of turbulence above a heterogeneous cultivated surface during stable and unstable conditions using nearly seven years of eddy covariance measurements. The results show that turbulence kinetic energy per unit mass is lower at night and increases during the day, with a peak value of around 1.6 m(2) s(-2). Turbulent movements occur during stable conditions when the flux Richardson number is less than 0.17. The results suggest that atmospheric turbulence is influenced by the type of ecosystem and measurement height.
BOUNDARY-LAYER METEOROLOGY
(2023)
Article
Thermodynamics
Umair Ahmed, Nilanjan Chakraborty, Markus Klein
Summary: The influence of thermal wall boundary conditions on the behaviour of scalar statistics during flame-wall interaction within turbulent boundary layers has been investigated. Differences in the mean behaviours of progress variable and temperature were observed for different wall boundary conditions.
INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW
(2021)
Article
Nuclear Science & Technology
Zoltan Istvan Boroczki, Boglarka Babcsany, Janos Endre Maroti, Mate Szieberth
Summary: Most codes for homogenized group constant generation for deterministic transport calculations use scalar flux weighting approximation during energy group condensation. This paper discusses the bias caused by this weighting in SP3 and S-12 calculations with linearly anisotropic scattering matrices. The study compares group constants from Serpent 2 and ERANOS ECCO for an infinite pin cell, as well as three reactor models with different core sizes. The results demonstrate the effect of scalar flux weighting in higher-order transport calculations.
NUCLEAR SCIENCE AND ENGINEERING
(2023)
Article
Mechanics
Luca Mortarini, Gabriel G. Katul, Daniela Cava, Cleo Quaresma Dias-Junior, Nelson Luis Dias, Antonio Manzi, Matthias Sorgel, Alessandro Araujo, Marcelo Chamecki
Summary: This study derives a dimensionless correction function Phi(RSL)(z/h) for the law of the wall using atmospheric turbulence measurements in the Amazon. The relationship between the vertical velocity spectrum E-ww(k) and Phi(RSL) is established using a co-spectral budget model. The findings show that /RSL is determined by the ratio of two turbulent viscosities.
Article
Agronomy
Kevin De Haan, Myroslava Khomik, Adam Green, Warren Helgason, Merrin L. Macrae, Mazda Kompanizare, Richard M. Petrone
Summary: The study compares WUE estimates for alfalfa and maize, finding that input variables and plant physiology impact WUE calculations, and differences in carbon assimilation and water use variables can lead to varied estimates.
Article
Meteorology & Atmospheric Sciences
Zhida Zhang, Jiening Liang, Min Zhang, Qi Guo, Lei Zhang
Summary: The study analyzed surface layer turbulence data from the SACOL observatory in 2008, revealing the atmospheric stability and significant differences in turbulence intensity in both horizontal and vertical directions within the semiarid Loess Plateau. The findings suggest unique characteristics of turbulence at SACOL compared to traditional patterns.
ADVANCES IN METEOROLOGY
(2021)
Article
Geosciences, Multidisciplinary
I. D. Drozd, I. A. Repina, A. Gavrikov, V. M. Stepanenko, A. Yu Artamonov, A. D. Pashkin, A. Varentsov
Summary: A new 21-meter eddy covariance tower was installed in the Meteorological observatory of Moscow State University in November 2019. The tower enables the analysis of atmospheric turbulence in a heterogeneous urban condition. The measurement data from November 2019 to May 2020 were processed. The paper discusses the relationship between turbulent fluctuations, turbulent kinetic energy, drag coefficient, and heat flux. It also considers the conditions for the applicability of the Monin-Obukhov similarity theory in calculating turbulent fluxes over a heterogeneous urban landscape.
RUSSIAN JOURNAL OF EARTH SCIENCES
(2022)
Article
Mechanics
Michael Heisel, Charitha M. de Silva, Gabriel G. Katul, Marcelo Chamecki
Summary: Despite the promising findings on fractal geometries in turbulence, there is no widely accepted physical flow image for the statistical signature in the inertial subrange. This study explores the self-similar geometric properties of velocity isosurfaces using boundary layer turbulence measurements and investigates their influence on velocity signal statistics. The fractal dimension of streamwise velocity isosurfaces is shown to be constant within the inertial subrange, indicating statistical self-similarity. Additionally, the study suggests that the physical presence of inertial subrange eddies is manifested in the self-similar wrinkles of isosurfaces.
JOURNAL OF FLUID MECHANICS
(2022)
Article
Meteorology & Atmospheric Sciences
Marc Calaf, Nikki Vercauteren, Gabriel G. Katul, Marco G. Giometto, Travis J. Morrison, Fabien Margairaz, Vyacheslav Boyko, Eric R. Pardyjak
Summary: The time integration of the unsteady Reynolds-averaged Navier-Stokes equations is widely used in numerical weather prediction. This approach divides the flow into an ensemble mean and turbulence-related fluctuations, allowing closure schemes to describe their statistical properties. However, modelling challenges arise when unresolved fluctuations include non-turbulent structured motions, which can render conventional closure schemes ineffective. This study seeks to address these challenges by discussing theoretical tactics and considering the use of large-eddy simulations, direct numerical simulations, and field measurements.
BOUNDARY-LAYER METEOROLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
Michael Heisel, Peter P. Sullivan, Gabriel G. Katul, Marcelo Chamecki
Summary: A persistent spatial organization of eddies has been identified in the lowest part of the stably stratified planetary boundary layer. The coherent turbulent structure is approximated as a series of uniform momentum zones and uniform temperature zones separated by thin layers of intense gradients. The study also reveals that the size of the eddies decreases with increasing stratification, which results in deviations from the logarithmic mean profiles for velocity and temperature.
BOUNDARY-LAYER METEOROLOGY
(2023)
Article
Mechanics
Luca Mortarini, Gabriel G. Katul, Daniela Cava, Cleo Quaresma Dias-Junior, Nelson Luis Dias, Antonio Manzi, Matthias Sorgel, Alessandro Araujo, Marcelo Chamecki
Summary: This study derives a dimensionless correction function Phi(RSL)(z/h) for the law of the wall using atmospheric turbulence measurements in the Amazon. The relationship between the vertical velocity spectrum E-ww(k) and Phi(RSL) is established using a co-spectral budget model. The findings show that /RSL is determined by the ratio of two turbulent viscosities.
Article
Agronomy
Zhiyong Wu, John T. Walker, Christopher Oishi, Tomer Duman, Gabriel Katul, Xi Chen, Donna Schwede, Jesse Bash, John Iiames
Summary: This study used inverse modeling methods to estimate the source-sink and flux profiles of reactive nitrogen (N) and sulfur (S) compounds at a forest site in the southern Appalachian Mountains. The findings show that crown foliage dominates the uptake of reactive N and S during the growing season, accounting for 80-90% of the total canopy-scale flux. The study highlights the need for improved parameterizations of litter exchange and NH3 compensation points in resistance models for forest ecosystems.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Geosciences, Multidisciplinary
O. Crompton, G. Katul, D. Lapides, S. Thompson
Summary: In drylands, runoff redistribution during storms from bare soil areas to vegetated patches is important for vegetation growth. The interaction of surface roughness and permeability determines the extent of this redistribution. Virtual experiments and the use of the 2D Saint Venant Equations were employed to measure runoff connectivity and identify landscapes likely to shed water.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Mechanics
Mazen Nakad, Jean-Christophe Domec, Sanna Sevanto, Gabriel Katul
Summary: In plants, the transport of photosynthesis products is achieved through a hydraulic system called phloem. This study develops a new numerical model to investigate osmotically driven flows in phloem. The results show that the hydrodynamic and geometrical characteristics of phloem significantly affect the speed of sucrose transport, providing a novel perspective on the evolutionary adaptation of plant hydraulic traits for efficient transport of soluble compounds.
Article
Environmental Sciences
Kelly Y. Y. Huang, Gabriel G. G. Katul, Thomas J. J. Hintz, Jesus Ruiz-Plancarte, Qing Wang, Harindra J. S. Fernando
Summary: The study investigates the intermittency of fog by analyzing the visibility time series collected in July 2022 on Sable Island, Canada. It is found that relative humidity and turbulent kinetic energy are related to various stochastic features of visibility.
Editorial Material
Environmental Sciences
Gabriel G. Katul
Summary: Agrivoltaics (AV) offers a solution to the competition between solar energy generation and crop production for arable land. By utilizing excess light for energy production, the efficiency of photosynthesis can be maximized. A numerical model was developed to predict photosynthesis, stomatal conductance, and transpiration. This commentary discusses the implications of these findings for aboveground biomass and plant micro-environment modifications.
Article
Environmental Sciences
Mazen Nakad, Jean-Christophe Domec, Sanna Sevanto, Gabriel Katul
Summary: The hydrodynamics of phloem plays a crucial role in plant survival and ecosystem-scale carbon and water cycling. The phloem transports products of photosynthesis throughout the plant and is mathematically represented by the Mu'' $\ddot{u}$nch pressure flow hypothesis (PFH). However, this framework does not take into account the elasticity of living phloem cells, which has been shown to affect the speed of sucrose diffusion.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2023)
Article
Environmental Sciences
Yuanyuan Gu, Gabriel G. G. Katul, Nicolas Cassar
Summary: The global air-sea CO2 flux (F) is influenced and influenced by various climate-related processes operating at different time scales. Factors such as the air-sea partial pressure difference, gas transfer velocity, sea surface temperature, and salinity drive the variability in F at different time scales. Wind speed variability is the dominant driver on subseasonal scales, while the increment pCO(2) effect is the main driver on seasonal, interannual, and decadal scales, particularly in high latitudes. The increment pCO(2) effect is closely linked to the relative strength of atmospheric pCO(2) and the nonthermal component of oceanic pCO(2) anomaly associated with dissolved inorganic carbon and alkalinity.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2023)
Article
Agronomy
Milan Fischer, Gabriel Katul, Asko Noormets, Gabriela Poznikova, Jean-Christophe Domec, Matej Orsag, Zdenek Zalud, Miroslav Trnka, John S. King
Summary: This study tested the reliability of two micrometeorological methods using high-frequency sampled air temperature in different agricultural systems and compared them with eddy covariance measurements. The results showed that the most reliable methods accurately estimated sensible heat flux and performed the best in agricultural systems.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Geosciences, Multidisciplinary
Octavia Crompton, Gabriel Katul, Dana A. Lapides, Sally E. Thompson
Summary: On dryland hillslopes, vegetation water availability is subsidized through the redistribution of rainfall runoff from bare soil to vegetation patches. The connectivity within bare soil areas plays a crucial role in the establishment and persistence of dryland ecosystems. Inferring functional connectivity from structural landscape features is an attractive approach, but the relationship between the two remains uncertain and requires further exploration.
Article
Thermodynamics
Kelly Y. Huang, Matt K. Fu, Clayton P. Byers, Andrew D. Bragg, Gabriel G. Katul
Summary: A generalized logarithmic law for high-order moments of homogeneous passive scalars is proposed for turbulent boundary layers. The theory predicts logarithmic variations of high-order moments within the inertial sublayer, and it is evaluated using high frequency time-series measurements of temperature and streamwise velocity fluctuations. The proposed theory appears to be as, if not more, valid for transported passive scalars than for the longitudinal velocity.
INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW
(2023)
Review
Forestry
Mazen Nakad, Sanna Sevanto, Jean-Christophe Domec, Gabriel Katul
Summary: This review examines how woody species adapt to harsh abiotic conditions by using simplified stomatal optimization theories to assess the response of photosynthesis and transpiration to warming, drought, and combined warming and drought stressors. The results demonstrate that different species' acclimation behaviors can be explained by deviations between measurements and predictions from the simplified optimality principle.
CURRENT FORESTRY REPORTS
(2023)
Article
Agronomy
Wenyi Xu, Bo Elberling, Per Lennart Ambus
Summary: The frequency and extent of wildfires in the Arctic have been increasing due to climate change. In this study, researchers conducted experiments in West Greenland to investigate the long-term impacts of climate warming on post-fire carbon dioxide exchange in arctic tundra ecosystems. They found that fire increased soil organic phosphorus concentrations and burned areas remained a net CO2 source five years after the fire. However, with four to five years of summer warming, the burned areas turned into a net CO2 sink.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Yuanhang Yang, Jiabo Yin, Shengyu Kang, Louise J. Slater, Xihui Gu, Aliaksandr Volchak
Summary: This study investigates the impacts of water and heat stress on carbon uptake in China and explores the driving mechanisms of droughts using a machine learning model. The results show that droughts are mostly driven by atmospheric dryness, with precipitation, relative humidity, and temperature playing dominant roles. Water and heat stress have negative impacts on carbon assimilation, and drought occurrence is projected to increase significantly in the future. Improving ecosystem resilience to climate warming is crucial in mitigating the negative effects of droughts on carbon uptake.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Ningbo Cui, Shunsheng Zheng, Shouzheng Jiang, Mingjun Wang, Lu Zhao, Ziling He, Yu Feng, Yaosheng Wang, Daozhi Gong, Chunwei Liu, Rangjian Qiu
Summary: This study proposes a method to partition evapotranspiration (ET) into its components in agroforestry systems. The method is based on water-carbon coupling theory and flux conservation hypothesis. The results show that the partitioned components agree well with measurements from other sensors. The study also finds that atmospheric evaporation demand and vegetation factors greatly influence the components of ET, and increased tree leaf area limits understory grass transpiration.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Xinhao Li, Tianshan Zha, Andrew Black, Xin Jia, Rachhpal S. Jassal, Peng Liu, Yun Tian, Chuan Jin, Ruizhi Yang, Feng Zhang, Haiqun Yu, Jing Xie
Summary: With the rapid increase of urbanization, evapotranspiration (ET) in urban forests has become increasingly important in urban hydrology and climate. However, there is still a large uncertainty regarding the factors that regulate ET in urban areas. This study investigates the temporal variations of ET in an urban forest park in Beijing using the eddy-covariance technique. The results show that daily ET is close to zero during winter but reaches 3-6 mm day-1 in summer. Daily ET increases with vapor pressure deficit (VPD) and soil water content (SWC). Monthly ET increases linearly with normalized difference vegetation index and shows a strong correlation with surface conductance (gs), while exhibiting saturated responses to increasing monthly precipitation (PPT). Annual ET ranges from 326 to 566 mm, and soil water replenishment through PPT from the previous year is responsible for the generally higher monthly ET in spring relative to PPT. Biotic factors and PPT seasonality play essential roles in regulating ET at different scales.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Zhaogang Liu, Zhi Chen, Meng Yang, Tianxiang Hao, Guirui Yu, Xianjin Zhu, Weikang Zhang, Lexin Ma, Xiaojun Dou, Yong Lin, Wenxing Luo, Lang Han, Mingyu Sun, Shiping Chen, Gang Dong, Yanhong Gao, Yanbin Hao, Shicheng Jiang, Yingnian Li, Yuzhe Li, Shaomin Liu, Peili Shi, Junlei Tan, Yakun Tang, Xiaoping Xin, Fawei Zhang, Yangjian Zhang, Liang Zhao, Li Zhou, Zhilin Zhu
Summary: This study investigates the responses of temperate grassland (TG) and alpine grassland (AG) to climate change by studying carbon (C) fluxes across different regions in China. The results reveal that water factors consistently increase C fluxes, while temperature factors have opposite effects on TG and AG. The study enhances our understanding of C sinks and grassland sensitivity to climate change.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Peng Li, Huijie Li, Bingcheng Si, Tao Zhou, Chunhua Zhang, Min Li
Summary: This study mapped the distribution of forest age on the Chinese Loess Plateau using the LandTrendr algorithm. The results show that the LT algorithm is a convenient, efficient, and reliable method for identifying forest age. The findings have important implications for assessing and quantifying biomass and carbon sequestration in afforestation efforts on the Chinese Loess Plateau.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Review
Agronomy
Yean-Uk Kim, Heidi Webber, Samuel G. K. Adiku, Rogerio de S. Noia Junior, Jean-Charles Deswarte, Senthold Asseng, Frank Ewert
Summary: As climate change is expected to increase the intensity and frequency of extreme weather events, it is crucial to assess their impact on cropping systems and explore adaptation options. Process-based crop models (PBCMs) have improved in simulating the impacts of major extreme weather events, but still struggle to reproduce low crop yields under wet conditions. This article provides an overview of the yield-loss mechanisms of excessive rainfall in cereals and the associated modelling approaches, aiming to guide improvements in PBCMs.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Xiaodong Liu, Yingjie Feng, Xinyu Zhao, Zijie Cui, Peiling Liu, Xiuzhi Chen, Qianmei Zhang, Juxiu Liu
Summary: Understanding the impact of climate on litterfall production is crucial for simulating nutrient cycling in forest ecosystems. This study analyzed a 14-year litterfall dataset from two subtropical forests in South China and found that litterfall was mainly influenced by wind speed during the wet season and by temperature during the dry season. These findings have potential significance in improving our understanding of carbon and nutrient cycling in subtropical forest ecosystems under climate change conditions.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Ruonan Chen, Liangyun Liu, Zhunqiao Liu, Xinjie Liu, Jongmin Kim, Hyun Seok Kim, Hojin Lee, Genghong Wu, Chenhui Guo, Lianhong Gu
Summary: Solar-induced chlorophyll fluorescence (SIF) has the potential to estimate gross primary production (GPP), but the quantitative relationship between them is not constant. In this study, a mechanistic model for SIF-based GPP estimation in evergreen needle forests (ENF) was developed, considering the seasonal variation in a key parameter of the model. The GPP estimates from this model were more accurate compared to other benchmark models, especially in extreme conditions.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Jingyi Zhu, Yanzheng Yang, Nan Meng, Ruonan Li, Jinfeng Ma, Hua Zheng
Summary: This study developed a random forest model using climate station and satellite data to generate high-precision precipitation datasets for the Qinghai-Tibet Plateau. By incorporating multisource satellite data, the model achieved a significant enhancement in precipitation accuracy and showed promising results in regions with limited meteorological stations and substantial spatial heterogeneity in precipitation patterns.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Yulin Yan, Youngryel Ryu, Bolun Li, Benjamin Dechant, Sheir Afgen Zaheer, Minseok Kang
Summary: Sustainable rice farming practices are urgently needed to meet increasing food demand, cope with water scarcity, and mitigate climate change. Traditional farming methods that prioritize a single objective have proven to be insufficient, while simultaneously optimizing multiple competing objectives remains less explored. This study optimized farm management to increase rice yield, reduce irrigation water consumption, and tackle the dilemma of reducing GHG emissions. The results suggest that the optimized management can maintain or even increase crop yield, while reducing water demand and GHG emissions by more than 50%.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Sasha D. Hafner, Jesper N. Kamp, Johanna Pedersen
Summary: This study compared micrometeorological and wind tunnel measurements using a semi-empirical model to understand wind tunnel measurement error. The results showed differences in emission estimates between the two methods, but the ALFAM2 model was able to reproduce emission dynamics for both methods when considering differences in mass transfer. The study provides a template for integrating and comparing measurements from different methods, suggesting the use of wind tunnel measurements for model evaluation and parameter estimation.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Wenfang Xu, Wenping Yuan, Donghai Wu, Yao Zhang, Ruoque Shen, Xiaosheng Xia, Philippe Ciais, Juxiu Liu
Summary: In the summer of 2022, China experienced record-breaking heatwaves and droughts, which had a significant impact on plant growth. The study also found that heatwaves were more critical than droughts in limiting vegetation growth.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Jiaqi Guo, Xiaohong Liu, Wensen Ge, Liangju Zhao, Wenjie Fan, Xinyu Zhang, Qiangqiang Lu, Xiaoyu Xing, Zihan Zhou
Summary: Vegetation photosynthetic phenology is an important indicator for understanding the impacts of climate change on terrestrial carbon cycle. This study evaluated and compared the abilities of different spectral indices to model photosynthetic phenology, and found that NIRv and PRI are effective proxies for monitoring photosynthetic phenology.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Arango Ruda Elizabeth, M. Altaf Arain
Summary: Temperate deciduous forests have significant impacts on regional and global water cycles. This study examined the effects of climate change and extreme weather events on the water use and evapotranspiration of a temperate deciduous forest in eastern North America. The results showed that photosynthetically active radiation and air temperature were the primary drivers of evapotranspiration, while vapor pressure deficit regulated water use efficiency. The study also found a changing trend in water use efficiency over the years, influenced by extreme weather conditions.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)