Article
Agronomy
Lijun Su, Wanghai Tao, Yan Sun, Yuyang Shan, Quanjiu Wang
Summary: This paper analyzes the relationship between Leaf Area Index (LAI) and crop biomass production and yields. The researchers established universal models for LAI and accurately predicted LAI changes in extremely arid grape-growing areas using various models. The Michaelis-Menten model and quadratic polynomial function were used to predict dynamic changes in grapevine LAI, biomass, yields, and harvest index. This study provides insights for improving water use efficiency and determining optimal irrigation quotas in grape cultivation.
Article
Meteorology & Atmospheric Sciences
Yan Yan, Jianping Tang, Shuyu Wang
Summary: Vegetation plays a crucial role in the Earth's land surface system. This study compares multiple vegetation data sources and investigates their impact on climate simulations in East Asia. The results show significant sensitivity of vegetation climatology, particularly in south East Asia, with substantial differences in Leaf Area Index (LAI) and Fractional Vegetation Cover (FVC). The study also reveals the importance of vegetation in influencing temperature, precipitation, and interannual variability in different seasons.
Article
Geography, Physical
Varaprasad Bandaru, Raghu Yaramasu, Curtis Jones, R. Cesar Izaurralde, Ashwan Reddy, Fernando Sedano, Craig S. T. Daughtry, Inbal Becker-Reshef, Chris Justice
Summary: This study developed Geo-CropSim, a spatial modeling framework, to enhance the prediction of crop yield and evapotranspiration by using high-quality remote sensing products in the EPIC agroecosystem model. The results showed improved spatial and temporal details in crop progression and growth, with significantly lower error rates compared to original EPIC estimates. Geo-CropSim demonstrated potential as a reliable operational tool for crop yield assessment and water resource management.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Beibei Shen, Lei Ding, Leichao Ma, Zhenwang Li, Alim Pulatov, Zheenbek Kulenbekov, Jiquan Chen, Saltanat Mambetova, Lulu Hou, Dawei Xu, Xu Wang, Xiaoping Xin
Summary: This study improved the LAI inversion model of Inner Mongolia grassland based on machine learning algorithms incorporating empirical knowledge. Normalized Difference Phenology Index was found to contribute the most to LAI estimation. Twelve LAI estimation models were built based on different input variables, and Random Forest Regression demonstrated higher prediction accuracy compared to other algorithms.
Article
Agronomy
Bastien Richard, Bruno Bonte, Magalie Delmas, Isabelle Braud, Bruno Cheviron, Julien Veyssier, Olivier Barreteau
Summary: This study proposes a co-simulation approach that couples a crop model and an agent-based network model to investigate the impact of irrigation network constraints on plant dynamics. The simulation results suggest that plant water stress may be underestimated when simulated at the plot level, and the plants located furthest downstream of the network experience the most severe water stress. Lack of network coordination can lead to earlier water stress and lower plant growth, while time-slot-based coordination tends to delay the impact.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Engineering, Civil
Shouzhi Chen, Yongshuo H. Fu, Zhaofei Wu, Fanghua Hao, Zengchao Hao, Yahui Guo, Xiaojun Geng, Xiaoyan Li, Xuan Zhang, Jing Tang, Vijay P. Singh, Xuesong Zhang
Summary: The Soil and Water Assessment Tool (SWAT) model is widely used for simulating the water cycle and quantifying the impacts of climate change and human activities on hydrological processes. However, its representation of vegetation dynamics has been a major source of uncertainty. This study improves the SWAT model by incorporating dynamic growth start dates and heat requirements for vegetation growth based on long-term remote sensing data. The improved model shows significant improvements in simulating leaf area index (LAI) and evapotranspiration, indicating the importance of accurately representing phenological dates in vegetation growth modules.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Geological
Si-Qi Li, Paolo Gardoni
Summary: This paper proposes an economic loss assessment model for large-scale regional building portfolios, considering the damage probability matrices. The traditional empirical vulnerability quantification method is optimized and updated by combining the analysis methods of probability risk, reliability, macroseismic intensity, and instrument intensity. Ultimately, the seismic loss evaluation model of large-scale regional structures is established.
BULLETIN OF EARTHQUAKE ENGINEERING
(2023)
Article
Environmental Sciences
Jiafeng Liu, Yaqiong Lu
Summary: This study compared the simulations of 35 Earth System Models (ESMs) participating in CMIP6 with remote sensing data to assess their performance in simulating vegetation growth on the Tibetan Plateau. The results showed that about 40% of the models overestimated the greening trend, while 48% underestimated it. The simulations of the CMIP6 models generally produced poor representations of the spatial distribution of vegetation growth trends.
Article
Fisheries
Xixi Zhang, Dong Sun, Xiaofan Zhang, Hui Yang
Summary: This study explores the regional differences in ecological efficiency (EF) of marine ranches and proposes sustainable development countermeasures through scenario simulations. Using the Malmquist-DEA index and system dynamics (SD) model, the study evaluates EF discrepancies in different marine ranch zones in China and simulates EF evolution trends under different policy scenarios. The results show unbalanced EF levels at sea and provincial levels, with positive impacts of sufficient capital investment, technological innovation, and technological experience accumulation on EF. Suggested improvements include capital input, local conditions, and scientific research resources to provide a scientific basis for policymakers to enhance marine ranch EF.
Article
Biochemical Research Methods
Dimitri Hoehler, Wayne Pfeiffer, Vassilios Ioannidis, Heinz Stockinger, Alexandros Stamatakis
Summary: The RAxML Grove database includes over 60,000 inferred trees and model parameter estimates from empirical datasets. It can be used for designing realistic simulation studies and analyzing empirical model parameter and tree shape distributions.
Article
Biodiversity Conservation
Yutong Xiao, Jun Chen, Xiaolin Wang, Xiangyi Lu
Summary: Green development is an innovative model that aims to harmonize economic and social development with environmental protection. The study found that after 2014, the level of green development in Hubei Province significantly increased with regional differences gradually shrinking. Spatial spillover effects play a crucial role in factors such as industrial structure, growth efficiency, technological innovation, and living environment.
ECOLOGICAL INDICATORS
(2022)
Article
Environmental Sciences
Bo Xiong, Yuxiao Li, Changhao Yu, Xiaolin Li, Jianyong Li, Biqiang Zhao, Feng Ding, Lianhuan Hu, Yuxin Wang, Lingxiao Du
Summary: In this study, a regional ionospheric TEC model over China was constructed using GNSS observation data. The model was found to accurately reflect the latitude, local time and seasonal variation characteristics of ionospheric TEC in China.
Article
Environmental Sciences
Meijuan Tang, Xiaoxia Wang, Wenyao Niu, Jingmin Fu, Mengran Zhu
Summary: This study examines the impact of financial elements and R&D elements on regional innovation efficiency. The findings suggest that financial development scale, the marketization level of the financial industry, inputs of R&D personnel and R&D capital, and R&D capital flow all have significant effects on regional innovation efficiency. Additionally, the flow of R&D personnel in central China has a positive impact on regional innovation efficiency, while this effect is not observed in eastern and western China. From a spatial perspective, both financial elements and R&D elements show positive spatial spillover effects.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Studies
Haiqin Ouyang, Chao Guan, Bo Yu
Summary: This study constructs a Hamilton optimization theory model and conducts empirical research to analyze the relationship between green finance and economic growth using Chinese provincial panel data. The findings indicate that green finance policy can enhance the scale and quality of economic growth but at the expense of a reduced growth rate. Moreover, it can direct capital flow towards high-tech industries, thus promoting industrial structure optimization and upgrading. Innovation capital acts as a mediator between green finance and economic growth mechanisms. Finally, the development of green finance helps reduce the dependence of economic growth on natural resources. Therefore, continuous improvement and implementation of green finance policy are necessary to guide the green transformation of the financial sector and its services to the real economy.
Article
Environmental Sciences
Xi Lin, Zahoor Ahmed, Xiaoying Jiang, Ugur Korkut Pata
Summary: This study empirically examines the impact of innovative human capital (IHC) on regional green growth in China. The findings reveal that there is a strong spatial correlation between IHC and green growth. The quantity of IHC has a significant positive impact on regional green growth, while the quality of IHC does not promote green growth. Additionally, both the quantity and quality of IHC indirectly enhance green growth through technological progress. The study suggests that promoting green growth requires enhancing the accumulation of IHC and narrowing the gap between the eastern and western regions of China in terms of IHC accumulation.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Orjan Berglund, Thomas Katterer, Katharina H. E. Meurer
Summary: Northern peatlands are important carbon reservoirs, but anthropogenic influences lead to significant CO2 losses. Research suggests that setting land aside from agricultural production may help reduce greenhouse gas emissions.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2021)
Article
Environmental Sciences
Gizachew Tarekegn Getahun, Lars Bergstrom, Katrin Rychel, Thomas Katterer, Holger Kirchmann
Summary: The study showed that the LS treatment significantly reduced N load and resulted in lower crop yield. Overall, the effects of LS on crop performance and N removal and leaching need to be further examined in long-term field studies.
JOURNAL OF ENVIRONMENTAL QUALITY
(2021)
Article
Biodiversity Conservation
Leonor Rodrigues, Brieuc Hardy, Bruno Huyghebeart, Julia Fohrafellner, Dario Fornara, Gabriela Barancikova, Teresa G. Barcena, Maarten De Boever, Claudia Di Bene, Dalia Feiziene, Thomas Kaetterer, Peter Laszlo, Lilian O'Sullivan, Daria Seitz, Jens Leifeld
Summary: The potential for soil carbon sequestration (SCS) in agricultural land varies widely across 24 European countries, with none meeting the aspirational goal of the '4 per 1000' initiative. This highlights the need for a wider range of measures and implementation pathways to achieve the goal. The complexity of SCS measurement approaches and the importance of country-specific knowledge and estimates underscore the urgent need for methodological improvements and standardization in SCS accounting.
GLOBAL CHANGE BIOLOGY
(2021)
Editorial Material
Engineering, Environmental
Erik Andersson, Wiebren J. Boonstra, Maricela de la Torre Castro, Alice C. Hughes, Ulrik Ilstedt, Arne Jernelov, Bengt-Gunnar Jonsson, Zahra Kalantari, Carina Keskitalo, Emma Kritzberg, Thomas Katterer, Jeffrey A. McNeely, Claudia Mohr, Tero Mustonen, Madelene Ostwald, Victoria Reyes-Garcia, Graciela M. Rusch, Angelina Sanderson Bellamy, Jesper Stage, Michael Tedengren, David N. Thomas, Angela Wulff, Bo Soderstrom
Article
Soil Science
Jumpei Fukumasu, Nick Jarvis, John Koestel, Thomas Katterer, Mats Larsbo
Summary: This study explores the relationship between soil organic carbon (SOC) and pore size distribution (PSD) in arable soil. Using X-ray tomography and soil water retention, we quantified a wide range of PSD. The results show positive correlations between SOC and porosities in the 0.2-720 μm diameter classes. Porosities in the 0.2-5 μm and 480-720 μm diameter classes are more strongly correlated with SOC than clay. These findings have implications for improving estimates of the effects of SOC sequestration on soil water dynamics.
EUROPEAN JOURNAL OF SOIL SCIENCE
(2022)
Article
Environmental Sciences
Elisa Bruni, Bertrand Guenet, Hugues Clivot, Thomas Katterer, Manuel Martin, Inigo Virto, Claire Chenu
Summary: This study analyzed the effect of exogenous organic matter (EOM) inputs on soil organic carbon (SOC) stocks and examined different approaches to calculate quantitative targets proposed by the EU Mission Board for Soil Health and Food. The results showed that the calculation method significantly influenced the estimated additional carbon input required to achieve each target. The quality of carbon input also played a significant role in SOC stock variation.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Agronomy
Thomas Katterer, Dries Roobroeck, Geoffrey Kimutai, Erik Karltun, Gert Nyberg, Cecilia Sundberg, Kristina Roing de Nowina
Summary: Applying biochar to degraded cropland soils in the African tropics has the potential to enhance crop productivity and mitigate climate change. A study conducted in different locations in Kenya demonstrated that locally produced biochar from biomass wastes can improve agricultural production and carbon storage under various pedo-climatic conditions.
AGRONOMY FOR SUSTAINABLE DEVELOPMENT
(2022)
Letter
Multidisciplinary Sciences
Ji Chen, Yiqi Luo, Thomas Katterer, Jorgen Eivind Olesen
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Soil Science
Gizachew Tarekegn Getahun, Thomas Katterer, Lars Juhl Munkholm, Katrin Rychel, Holger Kirchmann
Summary: This study found that integrating subsoil management into tillage regimes can access additional resources of water and nutrients, sustaining crop production. However, arable subsoil often lacks nutrients and carbon, and is compacted, affecting root growth and yield. Loosening the upper subsoil and injecting straw improved soil properties but had no significant effect on crop yield.
SOIL & TILLAGE RESEARCH
(2022)
Article
Soil Science
Elisa Bruni, Claire Chenu, Rose Z. Abramoff, Guido Baldoni, Dietmar Barkusky, Hugues Clivot, Yuanyuan Huang, Thomas Katterer, Dorota Pikula, Heide Spiegel, Inigo Virto, Bertrand Guenet
Summary: This study estimated the additional carbon input needed to increase soil organic carbon stocks in European agricultural experiments by 4% per year, and found that water-related variables have a significant impact on the predictability of carbon input in soil organic carbon models.
EUROPEAN JOURNAL OF SOIL SCIENCE
(2022)
Review
Biodiversity Conservation
Axel Don, Felix Seidel, Jens Leifeld, Thomas Katterer, Manuel Martin, Sylvain Pellerin, David Emde, Daria Seitz, Claire Chenu
Summary: Carbon sequestration is the removal of carbon from the atmosphere and storage in soils, which is important for mitigating climate change. However, the term is often used misleadingly, leading to exaggerated expectations. While soils have the potential to absorb carbon, many are experiencing continuous loss, highlighting the need for accurate terminology to distinguish different processes.
GLOBAL CHANGE BIOLOGY
(2023)
Article
Ecology
Niel Verbrigghe, Niki I. W. Leblans, Bjarni D. Sigurdsson, Sara Vicca, Chao Fang, Lucia Fuchslueger, Jennifer L. Soong, James T. Weedon, Christopher Poeplau, Cristina Ariza-Carricondo, Michael Bahn, Bertrand Guenet, Per Gundersen, Gunnhildur E. Gunnarsdottir, Thomas Kaetterer, Zhanfeng Liu, Marja Maljanen, Sara Maranon-Jimenez, Kathiravan Meeran, Edda S. Oddsdottir, Ivika Ostonen, Josep Penuelas, Andreas Richter, Jordi Sardans, Pall Sigurthsson, Margaret S. Torn, Peter M. Van Bodegom, Erik Verbruggen, Tom W. N. Walker, Hakan Wallander, Ivan A. Janssens
Summary: Global warming may lead to carbon transfers from soils to the atmosphere, but the effect on subsoils is uncertain. An experiment in subarctic grasslands showed that soil organic carbon stocks decline with warming, with most reduction occurring within the first 5 years. Continued warming no longer reduced carbon stocks. The loss of carbon was mainly observed in the topsoil, while the subsoil showed conservation of carbon stocks. These depth-dependent warming responses highlight the importance of vertical resolution in accurately predicting future soil organic carbon stocks.
Article
Environmental Sciences
Kajsa Henryson, Katharina H. E. Meurer, Martin A. Bolinder, Thomas Katterer, Pernilla Tidaker
Summary: This study used data from a Swedish soil monitoring program and farm census to analyze the changes in soil organic carbon (SOC) concentrations and stocks on dairy farms compared with other farm types. The results showed that small changes in SOC can have a significant impact on the climate footprint of milk.
Article
Environmental Studies
Ilaria Piccoli, Till Seehusen, Jenny Bussell, Olga Vizitu, Irina Calciu, Antonio Berti, Gunnar Borjesson, Holger Kirchmann, Thomas Katterer, Felice Sartori, Chris Stoate, Felicity Crotty, Ioanna S. Panagea, Abdallah Alaoui, Martin A. Bolinder
Summary: Soil compaction is a major threat to agriculture in Europe, affecting various ecosystem functions. Short-term case studies conducted in different locations within the SoilCare project showed that soil-improving cropping systems (SICSs) have promising potential in mitigating soil compaction. However, the effects of SICSs on yields were generally small, and there were difficulties in implementing these systems. Further refinement and evaluation of SICSs under different pedoclimatic conditions are needed.
Article
Ecology
Elisa Bruni, Bertrand Guenet, Yuanyuan Huang, Hugues Clivot, Inigo Virto, Roberta Farina, Thomas Katterer, Philippe Ciais, Manuel Martin, Claire Chenu
Summary: The study evaluated the amount of additional organic C inputs needed to achieve a 4 per 1000 increase in SOC stocks at 14 long-term agricultural sites in Europe, finding that the actual C inputs required may be higher than initially estimated. With climate warming, annual C inputs will need to increase even more, presenting a significant challenge to increasing SOC stocks in a future with warmer temperatures.