4.7 Article

Decoupling structural and environmental determinants of sap velocity Part II. Observational application

Journal

AGRICULTURAL AND FOREST METEOROLOGY
Volume 149, Issue 3-4, Pages 570-581

Publisher

ELSEVIER
DOI: 10.1016/j.agrformet.2008.10.010

Keywords

Transpiration; Sap flux; Sap velocity; Sap conductance; Plant-water interactions; Soil moisture; Sugar maple; Acer saccharum

Funding

  1. Biological and Environmental Research Program (BER), U.S. Department of Energy [DE-FC03-90ER61010, DE FG02-03ER63624, DE-FG03-01ER63278]
  2. NASA's Interdisciplinary Science Program [NASA-NNG-04-GM71G]
  3. Princeton University

Ask authors/readers for more resources

In this work we present experimental evidence in support of a new approach for investigating the dependence of sap velocity on atmospheric water demand and soil moisture supply. In this method, sap velocity is defined as the product of two components: the first describes the 'shape' of the radial profile of sap velocity, which is consistent through time and is likely linked to the species-specific anatomical and structural properties of the conducting xylem; the second, which we define as stem conductance, captures the time-dependent component of sap velocity that is mostly governed by shifts in atmospheric water demand and individual tree water supply. The heat pulse technique was used to estimate radial profiles of sap velocity and transpiration from a sample of 16 mature sugar maples (Acer saccharum) located along a topographic transect in a mixed deciduous forest. Our results demonstrate that: (1) stem conductance is strongly correlated with bulk air conditions (with confidence intervals for all the sampled trees greater than 99% and average R-2 of 0.43, 0.57, 0.54 for vapor pressure deficit (VPD), PPFD and net radiation, respectively) and atmospheric water demand (average R-2 equal to 0.73) on an hourly basis and that it is independent of tree size; (2) sensitivity of stem conductance to atmospheric water demand in sugar maples is also correlated to variation in local soil water availability (P-value = 0.014, R-2 = 0.43) which arises due to a mild topographic gradient (i.e. 20 m of relative relief along 140 m) and relatively shallow soil. Although the sampled trees were subjected to a wide range of atmospheric water demands and soil moistures, the response to changes in environmental conditions is entirely explainable by dynamics of stem conductance rather than the relative fraction of sap flow along the radial profile, as some of the previous studies reported. Overall, our results confirm our theoretical approach and the possibility of partitioning sap velocity variability between either xylem properties or changes in environmental conditions. (C) 2008 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Geosciences, Multidisciplinary

Deforestation-induced warming over tropical mountain regions regulated by elevation

Zhenzhong Zeng, Dashan Wang, Long Yang, Jie Wu, Alan D. Ziegler, Maofeng Liu, Philippe Ciais, Timothy D. Searchinger, Zong-Liang Yang, Deliang Chen, Anping Chen, Laurent Z. X. Li, Shilong Piao, David Taylor, Xitian Cai, Ming Pan, Liqing Peng, Peirong Lin, Drew Gower, Yu Feng, Chunmiao Zheng, Kaiyu Guan, Xu Lian, Tao Wang, Lang Wang, Su-Jong Jeong, Zhongwang Wei, Justin Sheffield, Kelly Caylor, Eric F. Wood

Summary: Deforestation in tropical mountain regions causes elevation-dependent warming, with the impact varying depending on altitude's role in albedo and evapotranspiration. The warming effect of deforestation decreases with higher elevation, affecting crop yields, land degradation, and nearby ecosystems, suggesting the need for future assessments to incorporate these additional impacts.

NATURE GEOSCIENCE (2021)

Article Multidisciplinary Sciences

Substantial hysteresis in emergent temperature sensitivity of global wetland CH4 emissions

Kuang-Yu Chang, William J. Riley, Sara H. Knox, Robert B. Jackson, Gavin McNicol, Benjamin Poulter, Mika Aurela, Dennis Baldocchi, Sheel Bansal, Gil Bohrer, David Campbell, Alessandro Cescatti, Housen Chu, Kyle B. Delwiche, Ankur R. Desai, Eugenie Euskirchen, Thomas Friborg, Mathias Goeckede, Manuel Helbig, Kyle S. Hemes, Takashi Hirano, Hiroki Iwata, Minseok Kang, Trevor Keenan, Ken W. Krauss, Annalea Lohila, Ivan Mammarella, Bhaskar Mitra, Akira Miyata, Mats B. Nilsson, Asko Noormets, Walter C. Oechel, Dario Papale, Matthias Peichl, Michele L. Reba, Janne Rinne, Benjamin R. K. Runkle, Youngryel Ryu, Torsten Sachs, Karina V. R. Schaefer, Hans Peter Schmid, Narasinha Shurpali, Oliver Sonnentag, Angela C. Tang, Margaret S. Torn, Carlo Trotta, Eeva-Stiina Tuittila, Masahito Ueyama, Rodrigo Vargas, Timo Vesala, Lisamarie Windham-Myers, Zhen Zhang, Donatella Zona

Summary: Studies show that methane emissions in wetlands are influenced by temperature and are more sensitive to it later in the frost-free season. To improve global methane budget assessments, more detailed measurements of factors influencing methane production are needed.

NATURE COMMUNICATIONS (2021)

Article Environmental Sciences

Consequences of Dryland Maize Planting Decisions Under Increased Seasonal Rainfall Variability

N. T. Krell, B. E. Morgan, D. Gower, K. K. Caylor

Summary: The study highlights the importance of selecting drought-avoidant crop varieties in the face of increasing rainfall variability and intensity. Early maturing crops have shown to have lower likelihood of failure in water deficit conditions, despite the potential for higher-yielding, late maturing varieties. The historical probability of crop failure was lowest in the past due to higher rainfall totals, but is now increasing with reduced rainfall amounts.

WATER RESOURCES RESEARCH (2021)

Article Multidisciplinary Sciences

Mapping global inputs and impacts from of human sewage in coastal ecosystems

Cascade Tuholske, Benjamin S. Halpern, Gordon Blasco, Juan Carlos Villasenor, Melanie Frazier, Kelly Caylor

Summary: The pressures on coastal marine ecosystems from human activities are mainly from agricultural pollution and human sewage inputs, impacting both the ecosystems and the health and economic activities of coastal communities. There is a lack of comprehensive understanding on the impacts of human wastewater, necessitating further research and attention to address these pressing issues.

PLOS ONE (2021)

Article Multidisciplinary Sciences

Global urban population exposure to extreme heat

Cascade Tuholske, Kelly Caylor, Chris Funk, Andrew Verdin, Stuart Sweeney, Kathryn Grace, Pete Peterson, Tom Evans

Summary: The study highlights the increasing threat of extreme heat exposure to rapidly growing urban settlements globally, especially impacting the urban poor. By estimating daily urban population exposure to extreme heat from 1983 to 2016, the research shows that total urban warming plays a crucial role in the increase of exposure, outweighing the impact of urban population growth.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2021)

Article Environmental Sciences

Using real-time mobile phone data to characterize the relationships between small-scale farmers' planting dates and socio-environmental factors

Natasha Krell, Frank Davenport, Laura Harrison, William Turner, Seth Peterson, Shraddhanand Shukla, Jessica Marter-Kenyon, Greg Husak, Tom Evans, Kelly Caylor

Summary: Accurate and operational indicators of the start of growing season are crucial for crop modeling and agricultural management. This study investigates the use of agro-meteorological variables and household-level attributes to predict planting dates of small-scale maize producers in central Kenya. The research findings suggest that EO variables perform as well as socio-economic variables in predicting planting dates, and short-term weather conditions may influence farmers' planting decisions.

CLIMATE RISK MANAGEMENT (2022)

Article Agronomy

Direct partitioning of eddy-covariance water and carbon dioxide fluxes into ground and plant components

Einara Zahn, Elie Bou-Zeid, Stephen P. Good, Gabriel G. Katul, Christoph K. Thomas, Khaled Ghannam, James A. Smith, Marcelo Chamecki, Nelson L. Dias, Jose D. Fuentes, Joseph G. Alfieri, Hyojung Kwon, Kelly K. Caylor, Zhiqiu Gao, Keir Soderberg, Nicolas E. Bambach, Lawrence E. Hipps, John H. Prueger, William P. Kustas

Summary: The partitioning of evapotranspiration and net ecosystem exchange into different components is crucial for understanding water cycle and carbon dioxide exchange. Different methods, including partitioning models and similarity-based approaches, have been evaluated and compared to provide insights into their strengths and weaknesses.

AGRICULTURAL AND FOREST METEOROLOGY (2022)

Article Agriculture, Multidisciplinary

Smallholder social networks: Advice seeking and adaptation in rural Kenya

Stacey Giroux, Patrick Kaminski, Kurt Waldman, Jordan Blekking, Tom Evans, Kelly K. Caylor

Summary: Smallholder farmers in Africa, particularly in rural Kenya, rely on advice from their peers in making decisions about maize seed choices. This study examines the social networks of maize seed advice seeking, as well as the factors influencing farmers' seeking behaviors, using exponential random graph modeling.

AGRICULTURAL SYSTEMS (2023)

Article Environmental Sciences

High resolution spatiotemporal patterns of flow at the landscape scale in montane non-perennial streams

Romy Sabathier, Michael Bliss Singer, John C. Stella, Dar A. Roberts, Kelly K. Caylor, Kristin L. Jaeger, Julian D. Olden

Summary: Intermittent and ephemeral streams in dryland environments are important habitats for diverse aquatic and terrestrial life. Understanding the availability of water and its response to external factors is crucial for predicting the impacts of climate change and human activities. This paper analyzes conductivity data from sensors distributed along streams in Arizona, providing insights into flow permanence and its response to seasonal rainfall.

RIVER RESEARCH AND APPLICATIONS (2023)

Article Environmental Sciences

Fluxbots: A Method for Building, Deploying, Collecting and Analyzing Data From an Array of Inexpensive, Autonomous Soil Carbon Flux Chambers

Elizabeth Forbes, Vincent Benenati, Spencer Frey, Mare Hirsch, George Koech, Grace Lewin, John Naisikie Mantas, Kelly Caylor

Summary: Soil carbon flux rates are important for calculating carbon budgets and determining if ecosystems are carbon sources or sinks. However, low-resolution datasets limit our ability to identify small-scale ecological factors that impact soil carbon dynamics. We developed a low-cost, autonomous soil carbon flux measurement method and deployed it in a challenging environment in Kenya, collecting over 10,000 flux measurements over two months. Our findings demonstrate the potential of DIY sensors to improve data resolution and enhance understanding of soil carbon dynamics on local and global scales.

JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES (2023)

Article Agronomy

Evapotranspiration regulates leaf temperature and respiration in dryland vegetation

Christopher L. Kibler, Anna T. Trugman, Dar A. Roberts, Christopher J. Still, Russell L. Scott, Kelly K. Caylor, John C. Stella, Michael Bliss Singer

Summary: Evapotranspiration regulates leaf temperature through energy flux partitioning. A mechanistic model is presented to predict leaf temperature based on the evaporative fraction. The model is validated using measurements from infrared radiometers. The study highlights the importance of evapotranspiration in regulating leaf temperature and its impact on plant physiological function.

AGRICULTURAL AND FOREST METEOROLOGY (2023)

Article Agronomy

Integrating fine root diameter and watershed mapping to characterize rhizosphere hydrology

Jeffrey M. Warren, Keita F. DeCarlo, Hassina Bilheux, Jean-Christophe Bilheux, Kelly Caylor

Summary: This study integrated root morphology and soil hydraulic characteristics to illustrate water distribution and uptake at the plant-soil interface. Different species of seedlings were grown in sand, and their root diameter and soil water dynamics were examined using neutron radiography. The rhizosphere showed species-independent processes, with consistently elevated water content at the root-soil edge interface and hysteresis as it transitioned to bulk soil. Water uptake per unit root surface area declined exponentially with root diameter, regardless of species. The findings emphasize the importance of considering species-independent hydrologic characteristics of the rhizosphere in a local spatial context and suggest avenues for improved integration of soil and root characteristics.

RHIZOSPHERE (2023)

Article Computer Science, Artificial Intelligence

High Resolution, Annual Maps of Field Boundaries for Smallholder-Dominated Croplands at National Scales

Lyndon D. Estes, Su Ye, Lei Song, Boka Luo, J. Ronald Eastman, Zhenhua Meng, Qi Zhang, Dennis McRitchie, Stephanie R. Debats, Justus Muhando, Angeline H. Amukoa, Brian W. Kaloo, Jackson Makuru, Ben K. Mbatia, Isaac M. Muasa, Julius Mucha, Adelide M. Mugami, Judith M. Mugami, Francis W. Muinde, Fredrick M. Mwawaza, Jeff Ochieng, Charles J. Oduol, Purent Oduor, Thuo Wanjiku, Joseph G. Wanyoike, Ryan B. Avery, Kelly K. Caylor

Summary: Mapping the characteristics of Africa's smallholder-dominated croplands is essential for understanding food security and other concerns. However, accurately mapping these systems is challenging due to the mismatch between satellite sensors and smallholder fields, as well as the lack of high-quality labels. This study developed an approach to address these challenges and successfully mapped Ghana's croplands.

FRONTIERS IN ARTIFICIAL INTELLIGENCE (2022)

Article Development Studies

Has the vision of a gender quota rule been realized for community-based water management committees in Kenya?

Corrie Hannah, Stacey Giroux, Natasha Krell, Sara Lopus, Laura E. McCann, Andrew Zimmer, Kelly K. Caylor, Tom P. Evans

Summary: Gender quotas are a solution to promote women's participation and leadership in public decision-making, Kenya's "two-thirds gender rule" has been moderately successful in increasing women's representation on water committees, but men still hold more higher-level leadership positions, indicating a leadership gap.

WORLD DEVELOPMENT (2021)

Article Development Studies

Smallholder farmers' use of mobile phone services in central Kenya

N. T. Krell, S. A. Giroux, Z. Guido, C. Hannah, S. E. Lopus, K. K. Caylor, T. P. Evans

Summary: The study found that a high percentage of Kenyan farmers own mobile phones, with a subset using them to access agricultural and livestock information. Factors influencing the adoption of m-services include smartphone ownership and membership in farmer organizations, while age and income do not significantly affect usage. The results highlight the importance of designing m-services for both smartphone and basic phone users to improve dissemination of agro-meteorological information.

CLIMATE AND DEVELOPMENT (2021)

Article Agronomy

Long-term summer warming reduces post-fire carbon dioxide losses in an arctic heath tundra

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

Quantifying the drivers of terrestrial drought and water stress impacts on carbon uptake in China

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

Evapotranspiration partitioning based on underlying conductance in a complex tree-grass orchard ecosystem in the humid area of southern China

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

Stronger control of surface conductance by soil water content than vapor pressure deficit regulates evapotranspiration in an urban forest in Beijing, 2012-2022

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

Precipitation consistently promotes, but temperature oppositely drives carbon fluxes in temperate and alpine grasslands in China

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

Mapping planted forest age using LandTrendr algorithm and Landsat 5-8 on the Loess Plateau, China

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

Mechanisms and modelling approaches for excessive rainfall stress on cereals: Waterlogging, submergence, lodging, pests and diseases

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

Climatic drivers of litterfall production and its components in two subtropical forests in South China: A 14-year observation

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

SIF-based GPP modeling for evergreen forests considering the seasonal variation in maximum photochemical efficiency

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

Constructing a high-precision precipitation dataset on the data-limited Qinghai-Tibet Plateau

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

A multi-objective optimization approach to simultaneously halve water consumption, CH4, and N2O emissions while maintaining rice yield

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

Experimental and model-based comparison of wind tunnel and inverse dispersion model measurement of ammonia emission from field-applied animal slurry

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

Impacts of record-breaking compound heatwave and drought events in 2022 China on vegetation growth

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

Tracking photosynthetic phenology using spectral indices at the leaf and canopy scales in temperate evergreen and deciduous trees

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

Impacts of heat and drought on the dynamics of water fluxes in a temperate deciduous forest from 2012 to 2020

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)