Article
Agronomy
Fan Liu, Xingchang Wang, Chuankuan Wang, Quanzhi Zhang
Summary: This study explored the interannual variability of CO2 fluxes in temperate forests in continental East Asia through direct measurements over an 11-year period. It was found that NEE was controlled by the length of net CO2 uptake period and the summer peak of net CO2 uptake, while GPP and Re were predominantly influenced by summer peaks. Additionally, environmental factors had weak impacts on NEE due to offsetting responses of GPP and Re to spring and autumn soil water content.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Agronomy
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
Agronomy
Mariam El-Amine, Alexandre Roy, Franziska Koebsch, Jennifer L. Baltzer, Alan Barr, Andrew Black, Hiroki Ikawa, Hiroki Iwata, Hideki Kobayashi, Masahito Ueyama, Oliver Sonnentag
Summary: This study examined how permafrost affects the growing season timing of boreal forest stands. It found that the variation in growing season timing in forest stands with permafrost cannot be explained by environmental variables, while in forest stands without permafrost, the timing is mainly influenced by start of canopy "green-up," air temperature, and soil temperature reaching above freezing.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Agriculture, Multidisciplinary
Yiping Zhang, Xianghui Guo, Xudong Zhu
Summary: This study applied the eddy covariance approach to investigate the carbon exchange in algae-shellfish aquaculture ponds. It revealed strong diurnal variability of carbon fluxes, with the ponds acting as a sink during farming periods and a source during the drainage period. The diurnal variability was influenced by photosynthetically active radiation and air temperature, and it increased with air temperature.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2023)
Article
Environmental Sciences
K. Hwang, S. A. Papuga
Summary: COVID-19 in Detroit led to measures to prevent virus spread, resulting in changes in traffic and energy use. The study explores CO2 dynamics in this postindustrial city with a declining population and increasing green space. Results show that Detroit was a carbon source throughout the study period, with reduced traffic leading to lower CO2 concentrations and NUE. However, during the post-order period with higher traffic, atmospheric CO2 concentrations and NUE were lowest, indicating the potential of urban greening for carbon mitigation.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Geosciences, Multidisciplinary
K. Jentzsch, A. Schulz, N. Pirk, T. Foken, S. Crewell, J. Boike
Summary: The release of CO2 from thawing permafrost contributes to global warming. The study on CO2 exchange in the Arctic winter highlights the significant impact of high wind speed events on the annual carbon budget. Further investigations are necessary to identify the factors causing these high CO2 flux events.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
A. L. Gorsky, N. R. Lottig, P. C. Stoy, A. R. Desai, H. A. Dugan
Summary: Our study conducted measurements of CO2 and CH4 dynamics in a small lake in northern Wisconsin from January to October 2020, revealing a significant increase in CH4 emissions over a 19-day period after ice-off in spring, with higher emissions during summer stratification. No linear increase in gas accumulation was observed during the late winter under-ice period.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2021)
Article
Environmental Sciences
A. L. Gorsky, N. R. Lottig, P. C. Stoy, A. R. Desai, H. A. Dugan
Summary: This study focused on the dynamics of CO2 and CH4 in a small lake, especially the sudden increase in CH4 emissions after ice melt in spring. It emphasizes the importance of direct gas measurements during the ice-covered period.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2021)
Article
Environmental Sciences
Bradley Matthews, Helmut Schume
Summary: This study reports on three years of turbulent CO2 fluxes measured above Vienna using an eddy covariance system. The study found that the seasonal variation of CO2 fluxes was influenced by temperature and wind direction, as well as the urbanization level of the area. The weekday-weekend patterns of CO2 fluxes correlated with local traffic counts, but the correlation was weaker on weekends and public holidays. Vegetation fluxes also influenced CO2 fluxes during certain periods, indicating a partial decoupling between turbulent exchange and surface fluxes. The study provides evidence that accurate estimates of urban CO2 fluxes can be obtained using tall tower eddy covariance.
ATMOSPHERIC ENVIRONMENT
(2022)
Article
Biodiversity Conservation
Curtis J. Richardson, Neal E. Flanagan, Hongjun Wang, Mengchi Ho
Summary: Rewetting drained subtropical wooded peatlands can prevent significant carbon losses, reduce greenhouse gas emissions, and contribute to achieving the net-zero emission goal in the United States.
GLOBAL CHANGE BIOLOGY
(2022)
Article
Agronomy
Nan Li, Junjiong Shao, Guiyao Zhou, Lingyan Zhou, Zhenggang Du, Xuhui Zhou
Summary: Accurately quantifying ecosystem respiration (ER) is crucial for understanding the feedback between the terrestrial carbon (C) cycle and climate change, but current estimations face challenges due to response differences of daytime and nighttime respiration to temperature and the effects of air humidity. This study modified daytime flux partitioning methods to estimate ER by integrating different temperature sensitivities of ER and relative humidity, showing that diurnal variations in temperature sensitivity and humidity are crucial for accurate ER estimation and should be incorporated into regional and global models.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Environmental Sciences
Michele L. de Oliveira, Carlos A. C. dos Santos, Gabriel de Oliveira, Madson T. Silva, Bernardo B. da Silva, John E. de B. L. Cunha, Anderson Ruhoff, Celso A. G. Santos
Summary: The spatio-temporal assessment of water and carbon fluxes in Brazil's Northeast region provides insights into the surface flux patterns in different vegetation types. The study shows that land degradation and climate impacts have led to reduced photosynthetic activity and increased vulnerability to desertification in the Caatinga biome, particularly in sparse areas. Dense Caatinga exhibits higher photosynthetic activity and greater resilience to climate effects. Compared to other biomes in the region, Caatinga has lower rates of evapotranspiration and gross primary production.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Agronomy
Patryk Poczta, Marek Urbaniak, Torsten Sachs, Kamila M. Harenda, Agnieszka Klarzynska, Radoslaw Juszczak, Dirk Schuttemeyer, Bartosz Czernecki, Anna Kryszak, Bogdan H. Chojnicki
Summary: Peatlands are important in storing soil carbon for long periods of time. This study focused on assessing the CO2 balances of a temperate peatland and the factors affecting these fluxes. The peatland was found to be a CO2 sink, but with extreme variations in different years. Seasonal data showed stronger correlations with biophysical variables than annual fluxes. Additionally, warmer spring and hotter summer temperatures were found to have different impacts on net ecosystem production. The study suggests that global warming negatively affects CO2 balances in temperate peatlands.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Environmental Sciences
Andrew M. Cunliffe, Fabio Boschetti, Robert Clement, Stephen Sitch, Karen Anderson, Tomer Duman, Songyan Zhu, Mikael Schlumpf, Marcy E. Litvak, Richard E. Brazier, Timothy C. Hill
Summary: The eddy covariance method is widely used in ecological research, but the high cost limits its spatial representation. To address this limitation, lower-cost eddy covariance systems were deployed in the Chihuahuan Desert, showing good consistency with conventional systems in energy and water balance.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2022)
Article
Environmental Sciences
Julie Shahan, Housen Chu, Lisamarie Windham-Myers, Maiyah Matsumura, Joseph Carlin, Elke Eichelmann, Ellen Stuart-Haentjens, Brian Bergamaschi, Kyle Nakatsuka, Cove Sturtevant, Patty Oikawa
Summary: Tidal wetlands play a crucial role in global carbon cycling, but their greenhouse gas monitoring and predictions face challenges due to spatial heterogeneity and tidal flooding. This study used eddy covariance and chamber measurements to quantify CO2 and CH4 fluxes in a restored tidal saltmarsh. The results showed that the wetland acted as a net sink for CO2 and a small net source of CH4. The study also highlighted the importance of wetland plant community, elevation, and inundation in influencing carbon fluxes. Future research should focus on incorporating high-resolution imagery, automated chambers, and quantifying carbon export in tidal waters.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2022)
Article
Biodiversity Conservation
Samuli Launiainen, Gabriel G. Katul, Kersti Leppa, Pasi Kolari, Toprak Aslan, Tiia Gronholm, Lauri Korhonen, Ivan Mammarella, Timo Vesala
Summary: The terrestrial net ecosystem productivity (NEP) has increased in a boreal coniferous forest in Southern Finland over the past three decades. This can be attributed to the increasing gross-primary productivity (GPP), without any significant change in evapotranspiration (ET). The increasing trend in leaf-area index (LAI) has also played a key role in enhancing GPP and NEP.
GLOBAL CHANGE BIOLOGY
(2022)
Article
Biodiversity Conservation
Zheng Fu, Philippe Ciais, David Makowski, Ana Bastos, Paul C. Stoy, Andreas Ibrom, Alexander Knohl, Mirco Migliavacca, Matthias Cuntz, Ladislav Sigut, Matthias Peichl, Denis Loustau, Tarek S. El-Madany, Nina Buchmann, Mana Gharun, Ivan Janssens, Christian Markwitz, Thomas Gruenwald, Corinna Rebmann, Meelis Molder, Andrej Varlagin, Ivan Mammarella, Pasi Kolari, Christian Bernhofer, Michal Heliasz, Caroline Vincke, Andrea Pitacco, Edoardo Cremonese, Lenka Foltynova, Jean-Pierre Wigneron
Summary: Understanding the critical soil moisture threshold is crucial for evaluating drought impacts and improving climate models. In Europe, estimating this threshold is challenging, but analyzing relationships between evaporative fraction, vapor pressure deficit, and gross primary production can provide valuable insights. Variations in surface energy partitioning and sensitivities to soil moisture were observed across different vegetation types.
GLOBAL CHANGE BIOLOGY
(2022)
Article
Agronomy
A. Korrensalo, I. Mammarella, P. Alekseychik, T. Vesala, E-S. Tuittila
Summary: Our study found that plant species influence the magnitude of ecosystem-scale methane emissions through their properties of methane transport. The drivers of methane transport were better explained by plant species, leaf greenness and area than by environmental variables. Moreover, leaves appeared to transport methane even after senescence, suggesting a potential ongoing contribution to methane emissions.
Article
Environmental Sciences
M. Helbig, T. Zivkovic, P. Alekseychik, M. Aurela, T. S. El-Madany, E. S. Euskirchen, L. B. Flanagan, T. J. Griffis, P. J. Hanson, J. Hattakka, C. Helfter, T. Hirano, E. R. Humphreys, G. Kiely, R. K. Kolka, T. Laurila, P. G. Leahy, A. Lohila, I. Mammarella, M. B. Nilsson, A. Panov, F. J. W. Parmentier, M. Peichl, J. Rinne, D. T. Roman, O. Sonnentag, E. -s Tuittila, M. Ueyama, T. Vesala, P. Vestin, S. Weldon, P. Weslien, S. Zaehle
Summary: The sensitivity of peatlands to climate warming varies depending on the timing of summer warming, with early warming leading to increased CO2 uptake and later warming resulting in decreased uptake. Peatlands in regions such as central Siberia, where early summer warming occurs, are more likely to continue functioning as net CO2 sinks under warmer climate conditions.
NATURE CLIMATE CHANGE
(2022)
Article
Forestry
Leena Stenberg, Kersti Leppa, Samuli Launiainen, Annamari (Ari) Lauren, Hannu Hokka, Sakari Sarkkola, Markku Saarinen, Mika Nieminen
Summary: This study examined the hydrological feasibility of strip-cutting management in drained boreal peatland pine forests. It found that the feasibility increased with increasing site productivity and improving climate conditions. Strip cutting resulted in a rise in water table levels in adjacent unharvested stands, and narrower strips indicated better drainage in the harvested area compared to wider strips. Although strip cutting had limited capacity to maintain efficient drainage on low hydraulic conductivity peat, the increase in water table levels was smaller than after clear-cutting.
Article
Meteorology & Atmospheric Sciences
Markku Kulmala, Tom Kokkonen, Ekaterina Ezhova, Alexander Baklanov, Alexander Mahura, Ivan Mammarella, Jaana Back, Hanna K. Lappalainen, Svyatoslav Tyuryakov, Veli-Matti Kerminen, Sergej Zilitinkevich, Tuukka Petaja
Summary: Turbulence is a key process in the atmosphere that transports material and energy, and causes concentration fluctuations. It influences various atmospheric processes and has implications for air pollution and climate change. Understanding the mechanisms of atmospheric turbulence, chemistry, and aerosol dynamics is crucial for analyzing the connections and feedbacks among these processes.
BOUNDARY-LAYER METEOROLOGY
(2023)
Article
Environmental Sciences
Malgorzata Golub, Nikaan Koupaei-Abyazani, Timo Vesala, Ivan Mammarella, Anne Ojala, Gil Bohrer, Gesa A. Weyhenmeyer, Peter D. Blanken, Werner Eugster, Franziska Koebsch, Jiquan Chen, Kevin Czajkowski, Chandrashekhar Deshmukh, Frederic Guerin, Jouni Heiskanen, Elyn Humphreys, Anders Jonsson, Jan Karlsson, George Kling, Xuhui Lee, Heping Liu, Annalea Lohila, Erik Lundin, Tim Morin, Eva Podgrajsek, Maria Provenzale, Anna Rutgersson, Torsten Sachs, Erik Sahlee, Dominique Serca, Changliang Shao, Christopher Spence, Ian B. Strachan, Wei Xiao, Ankur R. Desai
Summary: This study synthesizes 171 site-months of CO2 flux measurements from 13 lakes and reservoirs in the Northern Hemisphere. It finds pronounced sub-annual variability in CO2 flux with nighttime emissions exceeding daytime emissions. The study highlights the importance of continuous measurements and better characterization of short- and long-term variability for accurate carbon budgeting.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Biodiversity Conservation
Masahito Ueyama, Sara H. Knox, Kyle B. Delwiche, Sheel Bansal, William J. Riley, Dennis Baldocchi, Takashi Hirano, Gavin McNicol, Karina Schafer, Lisamarie Windham-Myers, Benjamin Poulter, Robert B. Jackson, Kuang-Yu Chang, Jiquen Chen, Housen Chu, Ankur R. Desai, Sebastien Gogo, Hiroki Iwata, Minseok Kang, Ivan Mammarella, Matthias Peichl, Oliver Sonnentag, Eeva-Stiina Tuittila, Youngryel Ryu, Eugenie S. Euskirchen, Mathias Goeckede, Adrien Jacotot, Mats B. B. Nilsson, Torsten Sachs
Summary: Wetlands are the largest natural source of methane in the atmosphere. Through data-model fusion, we estimate the processes of methane production, oxidation, and transport in wetlands, and find that production is the most important process.
GLOBAL CHANGE BIOLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
S. Guseva, F. Armani, A. R. Desai, N. L. Dias, T. Friborg, H. Iwata, J. Jansen, G. Luko, I Mammarella, I Repina, A. Rutgersson, T. Sachs, K. Scholz, U. Spank, V Stepanenko, P. Torma, T. Vesala, A. Lorke
Summary: In this study, the variability of the drag coefficient, Stanton number, and Dalton number in lakes and reservoirs of different sizes and depths was evaluated through direct measurements of surface fluxes. The results showed that these coefficients increase at low wind speeds due to the presence of gusts and capillary waves. At high wind speeds, the coefficients remain relatively constant. Therefore, it is recommended to consider the effects of gustiness and capillary waves on the drag coefficient and Stanton number, while the Dalton number can be assumed constant at all wind speeds.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Agronomy
Weijie Zhang, Martin Jung, Mirco Migliavacca, Rafael Poyatos, Diego G. Miralles, Tarek S. El-Madany, Marta Galvagno, Arnaud Carrara, Nicola Arriga, Andreas Ibrom, Ivan Mammarella, Dario Papale, Jamie R. Cleverly, Michael Liddell, Georg Wohlfahrt, Christian Markwitz, Matthias Mauder, Eugenie Paul -Limoges, Marius Schmidt, Sebastian Wolf, Christian Bruemmer, M. Altaf Arain, Silvano Fares, Tomomichi Kato, Jonas Ardo, Walter Oechel, Chad Hanson, Mika Korkiakoski, Sebastien Biraud, Rainer Steinbrecher, Dave Billesbach, Leonardo Montagnani, William Woodgate, Changliang Shao, Nuno Carvalhais, Markus Reichstein, Jacob A. Nelson
Summary: We evaluated the underestimation of latent heat flux (LE) associated with high relative humidity (RH) for different eddy covariance (EC) systems using the FLUXNET2015 dataset. We found that closed-path EC systems showed the most significant underestimation when RH was above 70%, and the extent of underestimation varied among sites. We proposed a machine learning-based method to correct this underestimation and compared it with two energy balance closure-based LE correction approaches. Our results highlight the importance of considering the high RH bias in water fluxes when estimating ecosystem T/ET and WUE.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Environmental Sciences
Camille Abadie, Fabienne Maignan, Marine Remaud, Kukka-Maaria Kohonen, Wu Sun, Linda Kooijmans, Timo Vesala, Ulli Seibt, Nina Raoult, Vladislav Bastrikov, Sauveur Belviso, Philippe Peylin
Summary: This study demonstrates the potential of COS observations in improving the representation of GPP in land surface models. Joint assimilation of COS and GPP data improves the simulated latent heat flux, while assimilating GPP data alone fails to do so.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2023)
Article
Environmental Sciences
Anna Lintunen, Juho Aalto, Ari Asmi, Mika Aurela, Jaana Back, Mikael Ehn, Ekaterina Ezhova, Hannele Hakola, Kari Hartonen, Jussi Heinonsalo, Heidi Hellen, Teemu Holtta, Tuija Jokinen, Leena Jarvi, Heikki Jarvinen, Juha Kangasluoma, Veli-Matti Kerminen, Pasi Kolari, Kajar Koster, Egle Koster, Liisa Kulmala, Theo Kurten, Ari Laaksonen, Hanna K. Lappalainen, Tuomas Lauril, Katrianne Lehtipalo, Heikki Lihavainen, Annalea Lohila, Mari Losoi, Annikki Makela, Risto Makkonen, Ivan Mammarella, Santtu Mikkone, Dmitri Moisseev, Anne Ojala, Tuukka Petaja, Mari Pihlatie, Albert Porcar-Castell, Arnaud P. Praplan, Jouni Pulliainen, Jukka Pumpanen, Pekka Rantala, Marja-Liisa Riekkola, Kaisa Rissanen, Sami Romakkaniemi, Jose Ruiz-Jimenez, Nina Sarnela, Simon Schallhar, Pauliina Schiestl-Aalt, Janne Rinne, Eeva-Stiina Tuittila, Hanna Vehkamaki, Timo Vesala, Yrjo Viisanen, Annele Virtanen, Ilona Ylivink, Pertti Hari, Markku Kulmala
Summary: The study of atmospheric processes related to climate requires a multidisciplinary approach, and the Academy of Finland Centre of Excellence in atmospheric sciences (CoE ATM) has been conducting extensive research for 18 years. The work in the CoE ATM has improved our understanding of biogeochemical cycles, ecosystem processes, aerosols, ions, neutral clusters, cloud formation, and their interactions. Through a combination of observations, remote sensing, experiments, and modeling, the CoE ATM has enabled improved conceptual understanding across spatial and temporal scales, serving as a platform for multidisciplinary research.
BOREAL ENVIRONMENT RESEARCH
(2023)
Article
Ecology
Matti Kamarainen, Juha-Pekka Tuovinen, Markku Kulmala, Ivan Mammarella, Juha Aalto, Henriikka Vekuri, Annalea Lohila, Anna Lintunen
Summary: In this study, machine learning methods (RF and GB) were used to predict the net ecosystem CO2 exchange (NEE) in a pine-dominated boreal forest in southern Finland over 1996-2018. The results showed that both RF and GB were able to explain the temporal variability of NEE using meteorological predictors, but GB was more accurate.
Article
Environmental Sciences
Kim A. P. Faassen, Linh N. T. Nguyen, Eadin R. Broekema, Bert A. M. Kers, Ivan Mammarella, Timo Vesala, Penelope A. Pickers, Andrew C. Manning, Jordi Vila-Guerau de Arellano, Harro A. J. Meijer, Wouter Peters, Ingrid T. Luijkx
Summary: Measuring the concentration and flux of oxygen and carbon dioxide in the atmosphere can provide insights into the carbon budget of forest ecosystems. This study found that measurements at different heights can yield different results, highlighting the importance of using multiple vertical levels to obtain accurate measurements.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2023)
Article
Geosciences, Multidisciplinary
Anna-Maria Virkkala, Susan M. Natali, Brendan M. Rogers, Jennifer D. Watts, Kathleen Savage, Sara June Connon, Marguerite Mauritz, Edward A. G. Schuur, Darcy Peter, Christina Minions, Julia Nojeim, Roisin Commane, Craig A. Emmerton, Mathias Goeckede, Manuel Helbig, David Holl, Hiroki Iwata, Hideki Kobayashi, Pasi Kolari, Efren Lopez-Blanco, Maija E. Marushchak, Mikhail Mastepanov, Lutz Merbold, Frans-Jan W. Parmentier, Matthias Peichl, Torsten Sachs, Oliver Sonnentag, Masahito Ueyama, Carolina Voigt, Mika Aurela, Julia Boike, Gerardo Celis, Namyi Chae, Torben R. Christensen, M. Syndonia Bret-Harte, Sigrid Dengel, Han Dolman, Colin W. Edgar, Bo Elberling, Eugenie Euskirchen, Achim Grelle, Juha Hatakka, Elyn Humphreys, Jarvi Jarveoja, Ayumi Kotani, Lars Kutzbach, Tuomas Laurila, Annalea Lohila, Ivan Mammarella, Yojiro Matsuura, Gesa Meyer, Mats B. Nilsson, Steven F. Oberbauer, Sang-Jong Park, Roman Petrov, Anatoly S. Prokushkin, Christopher Schulze, Vincent L. St Louis, Eeva-Stiina Tuittila, Juha-Pekka Tuovinen, William Quinton, Andrej Varlagin, Donatella Zona, Viacheslav I. Zyryanov
Summary: This study developed a standardized monthly database of Arctic-boreal CO2 fluxes (ABCflux) that aggregates in situ measurements of terrestrial net ecosystem CO2 exchange and its derived partitioned component fluxes. The database includes 244 sites and 6309 monthly observations, providing valuable data for understanding the regional and temporal variability in CO2 fluxes.
EARTH SYSTEM SCIENCE DATA
(2022)
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)