Article
Environmental Sciences
Yu Bai, Shunlin Liang, Aolin Jia, Shenggong Li
Summary: Capturing the spatial and temporal dynamics of global GPP is crucial for understanding the carbon cycle and climate change. This study compared five GPP products to identify trends and sensitivities to environmental factors. Results showed inconsistent global trends and sensitivities among different products, highlighting the need for further investigation.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2023)
Correction
Multidisciplinary Sciences
Yao Zhang, Xiangming Xiao, Xiaocui Wu, Sha Zhou, Geli Zhang, Yuanwei Qin, Jinwei Dong
Summary: A correction to this paper has been published.
Article
Environmental Sciences
Husheng Fang, Moquan Sha, Yichun Xie, Wenjuan Lin, Dai Qiu, Jiangguang Tu, Xicheng Tan, Xiaolei Li, Zongyao Sha
Summary: Green vegetation in terrestrial ecosystems plays a crucial role in energy flows and matter cycles. Vegetation phenology, influenced by climate changes and also affecting climate through active feedback, has important implications for gross primary productivity (GPP). Using satellite remote sensing imagery and FLUXNET observations, we mapped the shift of vegetation phenological events globally and investigated their response to climate fluctuations and feedback on GPP. The results showed significant advances in the start of season (SOS) in 11.5% of the global vegetated area, while only 5.2% exhibited significantly delayed end of season (EOS), resulting in a lengthening of the season (LOS) in 12.6% of the vegetated area. Climate factors, such as temperature and precipitation, contributed to the shifts in vegetation phenology with high spatial and temporal variability. LOS was positively correlated with GPP in 20.2% of the total area, indicating that a longer LOS promotes vegetation productivity. This feedback mechanism of shifted vegetation phenology on GPP may serve as an adaptation strategy for terrestrial ecosystems to mitigate global warming.
Article
Environmental Sciences
Mingshan Deng, Xianhong Meng, Yaqiong Lu, Zhaoguo Li, Lin Zhao, Hanlin Niu, Hao Chen, Lunyu Shang, Shaoying Wang, Danrui Sheng
Summary: Changes in vegetation dynamics are crucial for terrestrial ecosystems and environments. This study revised and validated a land surface biogeochemical dynamic vegetation model for the Tibetan Plateau, and found that temperature warming and precipitation enhancement are the dominant factors for increased vegetation productivity.
Article
Geosciences, Multidisciplinary
Benjamin Wild, Irene Teubner, Leander Moesinger, Ruxandra-Maria Zotta, Matthias Forkel, Robin van der Schalie, Stephen Sitch, Wouter Dorigo
Summary: Long-term global monitoring of terrestrial gross primary production (GPP) is crucial for assessing ecosystem responses to global climate change. This study introduces a new dataset, VODCA2GPP, which utilizes microwave remote sensing estimates of vegetation optical depth (VOD) to estimate GPP at the global scale for the period 1988-2020. The dataset shows robust performance and provides valuable data for assessing large-scale and long-term changes in GPP for global vegetation and carbon cycle studies.
EARTH SYSTEM SCIENCE DATA
(2022)
Article
Environmental Sciences
Yang Song, Wenzhe Jiao, Jing Wang, Lixin Wang
Summary: This study provides a comprehensive evaluation of the impacts of rising atmospheric dryness, temperature, and CO2 concentration on global vegetation productivity over the last two decades. It finds that despite the negative impact of increasing VPD, the warming and CO2 fertilization effects contribute to a widespread increase in vegetation productivity.
Article
Agronomy
Huiwen Li, Yiping Wu, Shuguang Liu, Jingfeng Xiao
Summary: The study showed that the humid region had the largest contribution to the national NPP IAV in China, accounting for 62%, primarily influenced by daily temperature range and precipitation. Water-limited regions, such as semi-humid, semi-arid, and arid areas, were mainly impacted by precipitation, high temperature days, and normal precipitation. In the Tibetan Plateau, daily temperature range and precipitation exerted the greatest influence on NPP IAV.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Biodiversity Conservation
Torbern Tagesson, Feng Tian, Guy Schurgers, Stephanie Horion, Robert Scholes, Anders Ahlstrom, Jonas Ardo, Alvaro Moreno, Nima Madani, Stefan Olin, Rasmus Fensholt
Summary: Earth observation-based estimates of global gross primary production (GPP) are crucial for understanding the terrestrial biosphere's response to climate change and other human impacts. This study used an asymptotic light response function (LRF) to estimate GPP, showing better results at high spatiotemporal resolutions compared to conventional methods. The global terrestrial GPP budget was stable around 121.8 +/- 3.5 Pg C annually from 1982 to 2015, with the strongest variability observed in semi-arid regions and croplands in China and India.
GLOBAL CHANGE BIOLOGY
(2021)
Article
Environmental Sciences
Xinying Wu, Dabang Jiang
Summary: GPP is sensitive to compound dry and hot conditions, which have a negative impact on GPP. The risk of GPP reductions increases with the severity of compound dry and hot events.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Geosciences, Multidisciplinary
Simone Strydom, Roisin McCallum, Anna Lafratta, Chanelle L. Webster, Caitlyn M. O'Dea, Nicole E. Said, Natasha Dunham, Karina Inostroza, Cristian Salinas, Samuel Billinghurst, Charlie M. Phelps, Connor Campbell, Connor Gorham, Rachele Bernasconi, Anna M. Frouws, Axel Werner, Federico Vitelli, Viena Puigcorbe, Alexandra D'Cruz, Kathryn M. McMahon, Jack Robinson, Megan J. Huggett, Sian McNamara, Glenn A. Hyndes, Oscar Serrano
Summary: This data collation presents research data on seagrass from 1975 to 2020, including biotic and abiotic habitat characteristics. The study found that biomass and structure of seagrass are important aspects, while data on production are limited. These data can be utilized in seagrass ecology and other related research fields.
EARTH SYSTEM SCIENCE DATA
(2023)
Article
Biodiversity Conservation
Isolde Callisto Puts, Jenny Ask, Matthias B. Siewert, Ryan A. Sponseller, Dag O. Hessen, Ann-Kristin Bergstrom
Summary: Global change affects gross primary production in benthic and pelagic habitats of northern lakes by influencing catchment characteristics and lake water biogeochemistry. Changes in key environmental drivers manifest in light limitation of total GPP and the relative size of the benthic habitat. External inputs of inorganic carbon can influence lake productivity patterns independent of terrestrial DOC supply.
GLOBAL CHANGE BIOLOGY
(2022)
Article
Environmental Sciences
Xiaoliang Shi, Mengqi Shi, Na Zhang, Mengyue Wu, Hao Ding, Yi Li, Fei Chen
Summary: This study simulated the Net Primary Productivity (NPP) and Gross Primary Productivity (GPP) of vegetation using two models and assessed the impact of climate change and human activities on GPP. The results showed that both climate change and human activities have a positive effect on vegetation growth, with human activities being the primary factor.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Yiheng Wang, Jingfeng Xiao, Xing Li, Shuli Niu
Summary: The study evaluated global patterns of asymmetries in GPP response to varying levels of precipitation changes across different vegetation types. Positive asymmetric responses were observed in grasslands, savannas, shrublands, and tundra under mild precipitation changes, while negative asymmetric responses were found in other vegetation types. All vegetation types exhibited negative GPP asymmetric responses to moderate and extreme precipitation changes. The spatial patterns of asymmetry were mainly influenced by precipitation amount and variability, with stronger and negative asymmetries in regions with lower precipitation amount and variability.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Ecology
Yan Tang, Xiaojun Xu, Zhongsheng Zhou, Yiling Qu, Yue Sun
Summary: This study accurately estimated the spatial-temporal variation of the maximum gross primary productivity (GPPmax) of vegetation using MODIS data, identifying key driving factors and providing a simple yet effective method for large-scale estimation of GPPmax globally.
ECOLOGICAL INFORMATICS
(2021)
Article
Environmental Sciences
Xiangjin Shen, Yiwen Liu, Liyuan Wu, Rong Ma, Yanji Wang, Jiaqi Zhang, Lei Wang, Binhui Liu, Xianguo Lu, Ming Jiang
Summary: This study shows that global grassland greening has significant effects on surface temperatures, with cooling effects in areas south of 50 degrees N and warming effects in areas north of 50 degrees N.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Meteorology & Atmospheric Sciences
Hao Yan, Shao-Qiang Wang, Jun-Bang Wang, An-Hong Guo, Zai-Chun Zhu, Ranga B. Myneni, Herman H. Shugart
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2020)
Article
Environmental Sciences
Xiang Song, Fang Li, Sandy P. Harrison, Tianxiang Luo, Almut Arneth, Matthew Forrest, Stijn Hantson, Gitta Lasslop, Stephane Mangeon, Jian Ni, Chao Yue, Thomas Hickler, Yiqi Luo, Stephen Sitch, Xin Xu, Zaichun Zhu
ENVIRONMENTAL RESEARCH LETTERS
(2020)
Article
Agronomy
Qian Zhao, Zaichun Zhu, Hui Zeng, Weiqing Zhao, Ranga B. Myneni
AGRICULTURAL AND FOREST METEOROLOGY
(2020)
Article
Geography, Physical
Baoying Huang, Zhijian Li, Chengcheng Dong, Zaichun Zhu, Hui Zeng
Summary: This study quantified the impacts of urbanization on vegetation in 48 Chinese coastal cities and found that while urbanization had a negative impact on vegetation conditions in terms of vegetation loss from land changes, it also potentially promoted vegetation growth in most coastal areas. Additionally, positive indirect impacts of urbanization on vegetation conditions were observed at various scales in the study period.
PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT
(2021)
Editorial Material
Multidisciplinary Sciences
Zaichun Zhu, Hui Zeng, Ranga B. Myneni, Chi Chen, Qian Zhao, Junjun Zha, Simin Zhan, Ian MacLachlan
Summary: The study by Wang et al. highlights the incorrect processing of satellite data and problematic methods for comparing CO2 fertilization effect (CFE) between satellite data and model simulations. Their findings suggest that ecosystem models may not necessarily underestimate the rate of CFE decline as previously thought.
Editorial Material
Environmental Sciences
Zai-Chun Zhu
ADVANCES IN CLIMATE CHANGE RESEARCH
(2021)
Article
Biodiversity Conservation
Lidong Zou, Sen Cao, Zaichun Zhu, Arturo Sanchez-Azofeifa
Summary: The study revealed that Tropical Dry Forests (TDFs) are significantly affected by drought related to El Nin similar to o, with different responses to different ENSO phases across various sites. In the short term, the sensitivity of vegetation productivity to the El Nino warm phase varied among different locations.
ECOLOGICAL INDICATORS
(2021)
Article
Remote Sensing
Lidong Zou, Muyi Li, Sen Cao, Feng Yue, Xiufang Zhu, Yizhan Li, Zaichun Zhu
Summary: A novel unsupervised object-oriented change detection method based on NCIs and k-means clustering outperforms traditional difference images in unsupervised change detection for high-resolution remote sensing images, as demonstrated by the experimental results.
CANADIAN JOURNAL OF REMOTE SENSING
(2022)
Article
Environmental Sciences
Weiqing Zhao, Zaichun Zhu
Summary: This study explores the relative performance of different vegetation indices in predicting gross primary productivity (GPP) and investigates additional factors that can better reveal the photosynthetic capacity of vegetation. The results show that solar-induced chlorophyll fluorescence (SIF) performs best when modeled using a single vegetation index, while NIRv combined with CO2, plant traits, and climatic factors achieves the highest prediction accuracy.
Article
Environmental Sciences
Long Li, Wenfeng Zhan, Weimin Ju, Josep Penuelas, Zaichun Zhu, Shushi Peng, Xiaolin Zhu, Zihan Liu, Yuyu Zhou, Jiufeng Li, Jiameng Lai, Fan Huang, Gaofei Yin, Yongshuo Fu, Manchun Li, Chao Yu
Summary: Urban vegetation is influenced by complex urban environments. The study reveals that greenness trends decrease from urban cores to urban new towns, and brownish trends are observed in urban fringes. These results highlight the joint influence of biogeochemical drivers and land-cover changes on the urban-rural gradient in vegetation trends, providing insights into future global vegetation change.
REMOTE SENSING OF ENVIRONMENT
(2023)
Correction
Plant Sciences
Qian Zhao, Zaichun Zhu, Hui Zeng, Ranga B. Myneni, Yao Zhang, Josep Penuelas, Shilong Piao
Article
Plant Sciences
Qian Zhao, Zaichun Zhu, Hui Zeng, Ranga B. B. Myneni, Yao Zhang, Josep Penuelas, Shilong Piao
Summary: The seasonal timing of maximum canopy structure is found to be earlier for photosynthesis than for canopy structure in the majority of the northern vegetated area, leading to a suboptimal maximum seasonal photosynthesis. This mismatch in peak timing has increased significantly during the study period, mainly due to increasing atmospheric CO2 and is influenced by climatic variables and nutrient limitations.
Article
Spectroscopy
Yu Xin-hua, Zhao Wei-qing, Zhu Zai-chun, Xu Bao-dong, Zhao Zhi-zhan
Summary: Food security is crucial for social harmony, political stability, and sustainable economic development. The Scalable Crop Yield Mapping (SCYM) framework provides a satellite data-based method for estimating crop yield without relying on ground-measured data. The study on winter wheat in Anhui Province from 2012 to 2018 shows that the SCYM method has good accuracy and potential for application in agricultural production at regional scales.
SPECTROSCOPY AND SPECTRAL ANALYSIS
(2021)
Article
Geography
Wen Zhang, Wen J. Chang, Zai C. Zhu, Zeng Hui
Article
Ecology
S. J. Sun, Z. C. Zhu, Z. J. Chen, W. Wang, G. H. Yin, K. B. Dong
APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH
(2019)
Article
Ecology
Florian Lecorvaisier, Dominique Pontier, Benoit Soubeyrand, David Fouchet
Summary: Research has found that the use of vaccines that do not entirely block pathogen transmission may lead to the evolution of more virulent strains. High vaccine coverage favors the emergence and prevalence of avirulent strains, and competition between strains is crucial for the eradication of toxigenic strains when these vaccines are used.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Monica E. Barros, Ana Arriagada, Hugo Arancibia, Sergio Neira
Summary: The stock biomass of carrot prawn in the south-central area of Chile has decreased in the past 12 years, mainly due to fishing mortality. Predation mortality has been less studied and quantified, so it is important to estimate and compare predation and fishing mortality to understand their effects on fishing stocks. A food web model was built to analyze the biomass changes and evaluate the relative contribution of different mortality factors. The results showed that predation mortality was the main component of total mortality for carrot prawns and yellow prawns.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Shubham Krishna, Victoria Peterson, Luisa Listmann, Jana Hinners
Summary: This study incorporated viral dynamics into an ecosystem model to investigate the effects of viruses on ecosystem dynamics under current and future climatic conditions. The results showed that the presence of viruses increased nutrient retention in the upper water column, leading to a reduction in phytoplankton biomass and transfer of biomass to higher trophic levels.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Zahra Dehghan Manshadi, Parastoo Parivar, Ahad Sotoudeh, Ali Morovati Sharifabadi
Summary: This study demonstrates the importance of strategies such as limiting built-up areas, preserving green spaces, and protecting water resources on the urban carrying capacity in arid and semi-arid regions. Implementing a combination of policies aimed at enhancing urban green spaces and regulating water demand is found to be the most effective in terms of health and urban carrying capacity.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Shay S. Keretz, Daelyn A. Woolnough, Todd J. Morris, Edward F. Roseman, David T. Zanatta
Summary: This study surveyed native freshwater mussels in the St. Clair-Detroit River system and found 14 live unionids representing 9 species. However, the model used to predict their presence in the main channels was not successful. The study also revealed characteristic differences between the St. Clair and Detroit Rivers.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Zhengrong Zhang, Xuemei Li, Xinyu Liu, Kaixin Zhao
Summary: This study examines land use change in the Chinese Tianshan mountainous region using system dynamics and patch-generating land use simulation models. The results show an expansion in forest and construction land, a decline in grassland area, and an increase in cultivated land area from 2005 to 2020. By 2040, unused land, grassland, and water are expected to decrease while other land types increase, with construction land showing the most significant increase. The study provides insights for future ecological and environmental management in the region.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Amira Khelifa, Nadjia El Saadi
Summary: This paper develops an agent-based model to study malaria disease transmission, taking into account the interactions between hosts, vectors, and aquatic habitats, as well as their geographical locations. The simulation results highlight the significant role of aquatic habitats in infection transmission and disease persistence, and demonstrate the effectiveness of eliminating these habitats in limiting disease transmission.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Guillaume Peron
Summary: The theory for movement-based coexistence between species often overlooks small-scale, station-keeping movements. However, at this scale, there are many instances where positive correlations exist between species traits that are expected to be negatively correlated based on current theory. Through simulations, the researcher presents a counter-example to demonstrate that functional tradeoffs are not a necessary condition for movement-based coexistence. This study highlights the significance of species-specific space use patterns under the time allocation tradeoff hypothesis.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Sandra Y. Mendiola, Nicole M. Gerardo, David J. Civitello
Summary: Research on the use of insect microbial symbionts as a means of controlling the spread of insect vectors and the pathogens they carry has made significant progress in the last decade. This study focused on the relative importance of simultaneous effects caused by a symbiont called Caballeronia spp. on the ability of squash bugs to transmit phytopathogenic Serratia marcescens. The researchers found that infection with Caballeronia significantly reduced pathogen titers and cleared S. marcescens in bugs, thus reducing the vectoring potential of these pests. The study also showed that maximizing symbiont prevalence in the vector population is crucial for effectively mitigating plant infections.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Shirui Hao, Dongryeol Ryu, Andrew W. Western, Eileen Perry, Heye Bogena, Harrie Jan Hendricks Franssen
Summary: This study investigates the sensitivity of model yield prediction to uncertainties in model parameters and inputs using the Sobol' method. The results show that yield is more sensitive to changes in water availability and nitrogen availability, depending on soil, management, and weather conditions.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Nitika Mundetia, Devesh Sharma, Aditya Sharma
Summary: This study focused on assessing groundwater sustainability using different modeling approaches in a river basin in Rajasthan, India. The results showed a decrease in future groundwater recharge and emphasized the need for better management and conservation practices to achieve sustainable development goals.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Sukdev Biswas, Sk Golam Mortoja, Ritesh Kumar Bera, Sabyasachi Bhattacharya
Summary: Bacteria play a crucial role in regulating the nutrient cycle of ecosystems, and maintaining a thriving bacterial population is essential for the sustainability of these environments. This study introduces the concept of cooperation as a group defense mechanism employed by bacteria and incorporates it into the functional response, offering a more comprehensive understanding of the complex tritrophic food chain dynamics. The results highlight the importance of a balance between strong group defense and moderate cooperation for bacteria sustainability and overall system stability.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
D. Z. M. Le Gouvello, S. Heye, L. R. Harris, J. Temple-Boyer, P. Gaspar, M. G. Hart-Davis, C. Louro, R. Nel
Summary: This study modeled the dispersal pathways and compared potential dispersal corridors of different sea turtle species in the Western Indian Ocean. The results showed that ocean currents play a major role in driving dispersal, with species and years exhibiting differences in dispersal patterns. Active swimming had little influence on dispersal during the first year.
ECOLOGICAL MODELLING
(2024)
Review
Ecology
Yingying Duan, Haina Rong, Gexiang Zhang, Sergey Gorbachev, Dunwu Qi, Luis Valencia-Cabrera, Mario J. Perez-Jimenez
Summary: Computing models are an effective way to study population dynamics of endangered species like giant pandas. This paper proposes a unified framework and conducts a comprehensive survey of computing models for giant panda ecosystems. Multi-factor computing models are more suitable for studying giant panda ecosystems.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Samantha Lai, Theophilus Zhi En Teo, Arief Rullyanto, Jeffery Low, Karenne Tun, Peter A. Todd, Siti Maryam Yaakub
Summary: Understanding the exchange of genetic material among populations in the marine environment is crucial for conservation efforts. Agent-based models are increasingly used to predict dispersal pathways, including for seagrasses. This study highlights the importance of considering both sexual propagules and asexual vegetative fragments when evaluating seagrass connectivity.
ECOLOGICAL MODELLING
(2024)
