Article
Biodiversity Conservation
Alison C. Bennett, Stefan K. Arndt, Lauren T. Bennett, Jurgen Knauer, Jason Beringer, Anne Griebel, Nina Hinko-Najera, Michael J. Liddell, Daniel Metzen, Elise Pendall, Richard P. Silberstein, Timothy J. Wardlaw, William Woodgate, Vanessa Haverd
Summary: The study found that the relationship between GPP and air temperature in Australian wooded ecosystems is a convex parabola, influenced by factors such as daytime temperature range, mean daytime temperature, and maximum GPP. The shape of the GPP-Ta curves is largely determined by these factors, with upslope influenced by Fsd and downslope influenced by VPD. There is a strong positive linear relationship between T-opt and MDTa, with T-opt exceeding MDTa in most ecosystems.
GLOBAL CHANGE BIOLOGY
(2021)
Article
Plant Sciences
Zhoutao Zheng
Summary: This study examined the spatial distribution of vegetation greenup across different plant functional types in the Northern Hemisphere, using eddy covariance flux data. The research found that spring climatic factors had significant impacts on the spatial distribution of vegetation greenup, with temperature having a more prominent effect in North America than in Europe.
Article
Environmental Sciences
Zhenkun Tian, Chuixiang Yi, Yingying Fu, Eric Kutter, Nir Y. Krakauer, Wei Fang, Qin Zhang, Hui Luo
Summary: Through the comparison and fusion of eight ecosystems, we found that the EC-LUE model was more accurate in estimating CO2 uptake than other models. Additionally, random forest and support vector machine algorithms performed better in merging different models. Based on the individual models, the fusion methods of Bayesian model averaging, support vector machine, and random forest improved the average accuracy of estimation by 8%, 18%, and 19% respectively.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2023)
Article
Environmental Sciences
Xian-Jin Zhu, Fu-Yao Qu, Ren-Xue Fan, Zhi Chen, Qiu-Feng Wang, Gui-Rui Yu
Summary: This study analyzed the effects of ecosystem types on the spatial variations in annual gross primary productivity (AGPP) in terrestrial ecosystems of China. The results showed significant differences in AGPP among different ecosystem types and vegetation regions, with climate and biotic factors playing important roles in driving the spatial variations in AGPP.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Agronomy
Xian-Jin Zhu, Gui-Rui Yu, Zhi Chen, Wei-Kang Zhang, Lang Han, Qiu-Feng Wang, Hua Qi, Meng Yang, Zhao-Gang Liu, Xiao-Jun Dou, Le-Xin Ma, Shi-Ping Chen, Shao-Min Liu, Hui-Min Wang, Jun-Hua Yan, Jun-Lei Tan, Fa-Wei Zhang, Feng-Hua Zhao, Ying-Nian Li, Yi-Ping Zhang, Pei-Li Shi, Jiao-Jun Zhu, Jia-Bing Wu, Zhong-Hui Zhao, Yan-Bin Hao, Li-Qing Sha, Yu-Cui Zhang, Shi-Cheng Jiang, Feng-Xue Gu, Zhi-Xiang Wu, Yang-Jian Zhang, Li Zhou, Ya-Kun Tang, Bing-Rui Jia, Yu-Qiang Li, Qing-Hai Song, Gang Dong, Yan-Hong Gao, Zheng De Jiang, Dan Sun, Jian-Lin Wang, Qi-Hua He, Xin-Hu Li, Fei Wang, Wen-Xue Wei, Zheng-Miao Deng, Xiang-Xiang Hao, Xiao-Li Liu, Xi-Feng Zhang, Zhi-Lin Zhu
Summary: This study analyzed the annual gross primary productivity (AGPP) in China and revealed a spatially increasing trend from 2000 to 2020. The results highlight the importance of ecosystem responses and their divergent pathways across different regions in determining AGPP trends. These findings provide valuable insights for quantifying regional carbon budgets.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Environmental Sciences
Xiaolu Tang, Yuehong Shi, Xinruo Luo, Liang Liu, Jinshi Jian, Ben Bond-Lamberty, Dalei Hao, Alexander Olchev, Wenjie Zhang, Sicong Gao, Jingji Li
Summary: The study focused on belowground autotrophic respiration (RA(soil)) in global forest ecosystems from 1981 to 2017, using a Random Forest algorithm to predict spatio-temporal patterns and calculating carbon allocation to RA(soil) from photosynthesis. Results showed an increase in mean RA(soil) globally, while carbon allocation (CA(B)) decreased over time, reflecting uneven responses of forest ecosystems to environmental changes. The study provides insights into global carbon cycling and carbon flux partitioning under climate change.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
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
Forestry
Nikos Markos, Kalliopi Radoglou, Mariangela N. Fotelli
Summary: Black locust is widely planted for restoration plantations, but drought dieback and growth declines are being observed. This study investigated the water and carbon fluxes of a black locust post-mining restoration plantation in Greece with eddy covariance. It found that GPP increased with Rg, SWC, and EVI, but declined with VPD. ET constantly increased with solar radiation and SWC, but was not responsive to enhanced VPD. The results suggest that increasing VPD due to climate change may negatively impact these ecosystems.
Article
Environmental Sciences
Yamei Shu, Shuguang Liu, Zhao Wang, Jingfeng Xiao, Yi Shi, Xi Peng, Haiqiang Gao, Yingping Wang, Wenping Yuan, Wende Yan, Ying Ning, Qinyuan Li
Summary: Aerosols have an impact on the gross primary productivity (GPP) of plants. This study quantifies the aerosol diffuse fertilization effect (DFE) and incorporates it into a light use efficiency model. The results show that the new model improves the performance in simulating GPP and emphasizes the importance of understanding aerosol-radiation interactions and incorporating aerosol effects into GPP models.
Article
Remote Sensing
Siqi Feng, Bo-Hui Tang, Guokun Chen, Liang Huang
Summary: Due to the unique climatic characteristics and vegetation features of tropical regions, the correlation of gross primary productivity (GPP) estimation using remote sensing models was generally low in tropical regions. This paper developed a corrected vegetation photosynthesis model (VPM) to estimate GPP under cloudy conditions by correcting the parameters W-scalar and Enhanced Vegetation Index (EVI). The correction of EVI showed better improvement with an increase of 0.22 in R-2, while the correction of W-scalar increased R-2 by 0.11.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2023)
Article
Agronomy
Quentin Beauclaire, Bernard Heinesch, Bernard Longdoz
Summary: Soil water stress is a major constraint on agrosystem functioning, and this study investigated its effects on GPP limitations of potato crops. The results showed that the limitations originate from non-stomatal causes, emphasizing the need to improve the representation of photosynthesis processes in models for accurate predictions during drought.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Environmental Sciences
Oksana Rybchak, Justin du Toit, Jean-Pierre Delorme, Jens-Kristian Juedt, Mari Bieri, Guy Midgley, Kanisios Mukwashi, Christian Thau, Gregor Feig, Antje Lucas-Moffat, Christian Bruemmer
Summary: This study finds that long-term resting of overutilized semi-arid vegetation in southern Africa can lead to enhanced carbon sequestration potential, even when vegetation composition has been transformed due to overutilization. However, this enhanced potential can be quickly diminished by reintroduction of grazing, even after a period of 10 years of resting. The achievement of carbon sequestration in these ecosystems is influenced by average to above-average precipitation and its distribution throughout the year, with sequestration activity mostly observed after seasonal rains during the warm season.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Zexia Duan, Yuanjian Yang, Shaohui Zhou, Zhiqiu Gao, Lian Zong, Sihui Fan, Jian Yin
Summary: By utilizing a random forest machine learning model, the accuracy of MODIS GPP product can be improved in rice-wheat rotation areas, and the eddy covariance-derived GPP can be reliably upscaled to regional scales. The seasonal GPP for rice was higher than that for wheat, and MODIS product performed well during crop rotation periods but underestimated GPP during rice/wheat active growth seasons.
Article
Forestry
Zijun Deng, Xin Liu, Haoran Zu, Junyi Luo, Ying Chen, Meiling Yi, Xiao Wang, Xiaocui Liang, Xiang Zhang, Wende Yan
Summary: The study analyzes the urban carbon dioxide flux in Changsha City, China, using the eddy covariance technique and flux footprint model. The findings reveal the patterns of flux footprint range, diurnal variation, and spatial characteristics, providing guidance for climate management, urban planning, and sustainable development.
Article
Agronomy
Shouzheng Jiang, Lu Zhao, Chuan Liang, Ningbo Cui, Daozhi Gong, Yaosheng Wang, Yu Feng, Xiaotao Hu, Qingyao Zou
Summary: Satellite-based Gross Primary Productivity (GPP) models are widely used for carbon exchange simulation of terrestrial ecosystems, but their performance in agro-ecosystems is not well-explored. This study compared the performances of seven LUE-GPP models and five VI-GPP models for simulating daily GPP of agro-ecosystems, finding that the CI-LUE model outperformed the others.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Ecology
Aaron Teets, Amey S. Bailey, Koen Hufkens, Scott Ollinger, Christina Schadel, Bijan Seyednasrollah, Andrew D. Richardson
Summary: This study optimized the phenology algorithms in the widely used biogeochemical model PnET-CN through incorporating phenology data from PhenoCam sites in eastern North America. The new phenology models significantly affected daily estimates and interannual variability of carbon, water, and nitrogen cycling. However, their impact on annual totals was not substantial. It was found that spring had twice the effect of fall on annual carbon and water exchange totals, highlighting the importance of accurately modeling season length for future projections of carbon and water cycling.
Article
Agronomy
Leticia X. Lee, Timothy G. Whitby, J. William Munger, Sophia J. Stonebrook, Mark A. Friedl
Summary: Climate change affects the phenology of terrestrial ecosystems, particularly in deciduous forests. Remote sensing is a useful tool for estimating leaf area index (LAI) and photosynthetically active radiation (fAPAR). However, there is a lack of studies that examine the seasonal variation and relationships between remote sensing vegetation indices (SVI), LAI, and fAPAR. This study analyzes the effects of seasonal canopy and environmental conditions on these variables using remote sensing data and in-situ measurements. The results provide insights for remotely monitoring and modeling the phenology of temperate deciduous forests.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Editorial Material
Ecology
R. Quinn Thomas, Carl Boettiger, Cayelan C. Carey, Michael C. Dietze, Leah R. Johnson, Melissa A. Kenney, Jason S. McLachlan, Jody A. Peters, Eric R. Sokol, Jake F. Weltzin, Alyssa Willson, Whitney M. Woelmer
FRONTIERS IN ECOLOGY AND THE ENVIRONMENT
(2023)
Article
Geochemistry & Geophysics
Mariah S. Carbone, Tina J. Ayers, Christopher H. Ebert, Seth M. Munson, Edward A. G. Schuur, Andrew D. Richardson
Summary: In this study, we analyzed a timeseries of (CO2)-C-14 from annual plants collected in the southwestern United States. The results showed the significance of local records, as they revealed delayed arrival of bomb spike, lower values in the 1980s, and elevated values in recent years compared to the Northern Hemisphere record. Archived annual plants can serve as valuable resources to enhance our understanding of the modern carbon cycle.
Article
Ecology
Lynsay Spafford, Andrew H. MacDougall, Yann Vitasse, Gianluca Filippa, Andrew Richardson, James Steenberg, J. Jelle Lever
Summary: Climate change has increased the frequency of severe weather events and created stressful growing conditions, which may impact ecosystem resilience. To monitor these effects, conservation managers use phenocams to observe leaf function and detect declines due to disturbance or stress. This study explores the application of phenocams using 14 examples to detect responses to disturbances such as hurricanes, frost, insect defoliation, and drought stress. The results show that changes in the duration of the rising section, plateau section, and entire leaf-on period can reliably indicate leaf functional declines. Phenocams are powerful tools for monitoring ecological integrity and quantifying dynamic responses to disturbance or stress.
Article
Environmental Sciences
Jialin Liu, Fangyan Cheng, Roisin Commane, Yi Zhu, Weiwen Ji, Xiuling Man, ChengHe Guan, J. William Munger
Summary: We conducted flux measurements in Siberian larch forests and found that they serve as important carbon sinks during the thawing period. When the surface soils are fully frozen, net carbon exchanges are near-zero. We developed an empirical ecosystem functional model to quantify the dependence of carbon balance in larch forests on climatic drivers. The model provides a basis for carbon budget estimation and suggests that the southern larch subtype will increase the forest carbon sink compared to the northern subtype.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2023)
Editorial Material
Geosciences, Multidisciplinary
Susan Trumbore, Ana Barros, Thorsten Becker, M. Bayani Cardenas, Eric Davidson, Nicolas Gruber, Eileen Hofmann, Mary Hudson, Tissa Illangasekare, Sarah Kang, Alberto Montanari, Marcos Moreno, Francis Nimmo, Larry Paxton, Vincent J. M. Salters, David Schimel, Bjorn Stevens, Hang Su, Donald Wuebbles, Peter Zeitler, Binzheng Zhang
Summary: The editorial board of AGU Advances expresses gratitude to the individuals who reviewed manuscripts for the journal in 2022. Thanks to the 131 reviewers who contributed to AGU Advances in 2022.
Article
Environmental Sciences
Mariah S. Carbone, Andrew D. Richardson, Billy Barr, Max Berkelhammer, Claudia M. Boot, Austin Simonpietri, Christopher J. Still
Summary: Long-term soil CO2 emission measurements are crucial for understanding trends and variability in the terrestrial carbon cycle. This study conducted continuous measurements in two high elevation forest types in the upper Colorado River basin and found that snowfall and rainfall had significant impacts on soil CO2 flux, with greater sensitivity to rainfall. Furthermore, the study observed a decline in surface soil CO2 production due to warming and reduced summer rainfall.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Review
Biodiversity Conservation
Kevin R. Wilcox, Anping Chen, Meghan L. Avolio, Ethan E. Butler, Scott Collins, Rosie Fisher, Trevor Keenan, Nancy Y. Kiang, Alan K. Knapp, Sally E. Koerner, Lara Kueppers, Guopeng Liang, Eva Lieungh, Michael Loik, Yiqi Luo, Ben Poulter, Peter Reich, Katherine Renwick, Melinda D. Smith, Anthony Walker, Ensheng Weng, Kimberly J. Komatsu
Summary: This article discusses the shortcomings of herbaceous plant community representation in predictive models, pointing out that the model representation of grassland and herbaceous ecosystems lags behind tree communities and forests. The article identifies two important knowledge gaps: incomplete understanding of the principles governing herbaceous vegetation dynamics and limitations in the current model structure and parameterization of grass and other herbaceous plant functional types. The article provides directions for improving the representation of herbaceous communities within models through empirical research and model improvements.
GLOBAL CHANGE BIOLOGY
(2023)
Article
Plant Sciences
Drew M. P. Peltier, Mariah S. S. Carbone, Cameron D. D. McIntire, Nathan Robertson, R. Alex Thompson, Shealyn Malone, Jim LeMoine, Andrew D. D. Richardson, Nate G. G. McDowell, Henry D. D. Adams, William T. T. Pockman, Amy M. M. Trowbridge
Summary: Shifts in NSC age or turnover time may explain changes in tree growth under long-term drought stress associated with climate change. Quantifying NSC responses to drought is challenging due to large NSC stores in trees and long response times. Our results show that long-term drought reduces NSC age, leading to decreased growth and respiration rates in trees.
Editorial Material
Microbiology
Eric A. Davidson, Jeremy D. Semrau, Nguyen K. Nguyen
Summary: Reducing methane emissions is crucial for effectively and rapidly slowing down climate change. A colloquium was held to gather experts in methane research and discuss the impact of microbial processes on waste management and agricultural practices. Urgent support for microbiology research is needed to accelerate the realization of these solutions.
Editorial Material
Environmental Sciences
Eric A. Davidson, Wilfried Winiwarter
NATURE CLIMATE CHANGE
(2023)
Editorial Material
Geosciences, Multidisciplinary
B. Grosz, A. Matson, K. Butterbach-Bahl, T. Clough, E. A. Davidson, R. Dechow, S. DelGrosso, E. Diamantopoulos, P. Dorsch, E. Haas, H. He, C. V. Henri, D. Hui, K. Kleineidam, D. Kraus, M. Kuhnert, J. Leonard, C. Mueller, S. O. Petersen, D. Sihi, I. Vogeler, R. Well, J. Yeluripati, J. Zhang, C. Scheer
Summary: Biogeochemical models simulate soil nitrogen turnover and are often used to assess nitrogen losses through denitrification. However, only a subset of nitrogen pools and fluxes are typically published due to the inability to validate the full nitrogen budget with measured data. This limitation in publication restricts the opportunity to improve understanding of modeled processes. The authors propose that the modeler community should support the publication of all simulated nitrogen pools and processes in future studies.
Article
Agronomy
Qiurui Zhu, Eric A. Davidson, Jacob G. Hagedorn, Mark S. Castro, Thomas R. Fisher, Rebecca J. Fox, Shannon E. Brown, James W. Lewis
Summary: Drainage water management (DWM) is an effective practice to reduce nitrate export from croplands, but it may increase greenhouse gas emissions. This study evaluated the effects of DWM on greenhouse gas emissions and found no significant difference in emissions between DWM and non-DWM fields.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)