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Meteorology & Atmospheric Sciences
Zhongen Niu, Honglin He, Shushi Peng, Xiaoli Ren, Li Zhang, Fengxue Gu, Gaofeng Zhu, Changhui Peng, Pan Li, Junbang Wang, Rong Ge, Na Zeng, Xiaobo Zhu, Yan Lv, Qingqing Chang, Qian Xu, Mengyu Zhang, Weihua Liu
Summary: A process-based ES model, integrating remote sensing data, was developed to assess four important ESs at annual scale in China. The model considered soil erosion processes and improved carbon-water cycle algorithms. Simulation results showed good fits with ecosystem processes and explained a large percentage of interannual variabilities for various ecosystem functions.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2021)
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Forestry
Philip J. Smethurst, Tim R. McVicar, Neil Huth, Ben P. Bradshaw, Stephen B. Stewart, Thomas G. Baker, Richard G. Benyon, John F. McGrath, Thomas G. Van Niel
Summary: Forest plantations can access nitrate from unconfined aquifers, which may contribute to tree growth. Further research is needed to quantify this process.
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Agronomy
G. Chirici, M. Chiesi, L. Fibbi, F. Giannetti, P. Corona, F. Maselli
Summary: This paper presents the application of a new modelling strategy to estimate high spatial resolution net forest carbon fluxes in Tuscany, Italy. By combining remotely sensed and ancillary data, the modelling strategy achieves satisfactory estimation accuracy for both net primary production (NPP) and net ecosystem production (NEP), supporting its applicability in other forest environments.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Environmental Sciences
Koffi Dodji Noumonvi, Gal Oblisar, Ana Zust, Ursa Vilhar
Summary: Phenological events are sensitive indicators of climate change, and remote sensing has been used to model phenology in pure forests, but faces challenges in mixed forests. This study shows that using the seasonal midpoint method with MODIS GPP can estimate the start and end of the season in mixed forests with moderate errors.
Article
Agronomy
A. Krasnova, Ue. Mander, S. M. Noe, V. Uri, D. Krasnov, K. Soosaar
Summary: This study assessed the impact of the 2018 heatwave on the carbon exchange of different forest types and a clear-cut area in Europe. The results showed that the carbon exchange varied among forest types, with coniferous forests being the most resistant and mixed forests being the most affected. These findings are important for understanding the effects of global climate change on ecosystems.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Environmental Sciences
Junfang Zhao, Dongsheng Liu, Yun Cao, Lijuan Zhang, Huiwen Peng, Kaili Wang, Hongfei Xie, Chunzhi Wang
Summary: This study utilized the FORCCHN model and remote sensing data to simulate the carbon sequestration potential of forest ecosystems in China over the past 39 years, revealing a significant carbon sequestration potential with spatial regional differences in Chinese forests.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Sofia Junttila, Julia Kelly, Natascha Kljun, Mika Aurela, Leif Klemedtsson, Annalea Lohila, Mats B. Nilsson, Janne Rinne, Eeva-Stiina Tuittila, Patrik Vestin, Per Weslien, Lars Eklundh
Summary: Remote sensing methods offer a promising opportunity to monitor CO2 exchange in peatland ecosystems at large scales. The study developed empirical models for CO2 balance, GPP, and ER using satellite data and showed high agreement with field data for GPP and ER. Further research is needed to investigate sources of spatial and temporal variation in CO2 fluxes.
Article
Environmental Sciences
Hu Li, Chengxin Qin, Weiqi He, Fu Sun, Pengfei Du
Summary: This paper investigates the sub-daily dynamics of cyanobacterial harmful algal blooms (CyanoHABs) in Taihu Lake using a combination of high-frequency time-series remote sensing and hydro-ecological modelling. The results show that the distribution of CyanoHABs is patchy and dynamic, largely influenced by the migratory behavior of cyanobacteria. The hydro-ecological model successfully reproduces the observed pattern and trend, with photosynthesis rate and respiration rate identified as the most influential model parameters. The study highlights the need for microscale modelling to better understand the physiological processes of CyanoHABs.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Environmental Sciences
Nicola Paciolla, Chiara Corbari, Antonino Maltese, Giuseppe Ciraolo, Marco Mancini
Summary: The study explores the impact of scale effects on fluxes modelled with the FEST-EWB model, finding that low resolution modelling may produce some differences, but the model can still generate high-quality results.
Article
Ecology
Ritika Srinet, Subrata Nandy, N. R. Patel, Hitendra Padalia, Taibanganba Watham, Sanjeev K. Singh, Prakash Chauhan
Summary: This study simulated forest carbon fluxes in two major plant functional types in the northwest Himalayan foothills of India using remote sensing data and Biome-BGC model. The study found that integrating remote sensing data into the calibrated process-based model increased the accuracy of model-simulated forest carbon fluxes.
ECOLOGICAL MODELLING
(2023)
Article
Biochemical Research Methods
Peng Guan, Yili Zheng, Guannan Lei
Summary: The study found that there are slight differences in the days of growth and peak value corresponding days for the same color index in different regions of interest, as well as for different color indexes in the same region of interest, showing different phenological phases. The LSTM model achieved good forecasting results with low errors. The study also highlighted the importance of considering micro-environmental differences in forest canopies and selecting optimal color indexes based on species-specific phenological responses.
Article
Urban Studies
Luca Battisti, Giovanni Giacco, Massimiliano Moraca, Giacomo Pettenati, Egidio Dansero, Federica Larcher
Summary: This study aims to identify the neighborhoods in the city where Nature-based Solutions (NbS) can be implemented to maximize their social impact. The authors used the 3-30-300 rule and proposed an index to identify neighborhoods for prioritized NbS implementation. The results highlight 10 neighborhoods in the city with a high need for NbS implementation.
Review
Chemistry, Analytical
Pavel Vyvlecka, Vilem Pechanec
Summary: Keeping natural ecosystems and their functions in proper condition is essential, and remote sensing, especially optical remote sensing, is an effective contactless monitoring method for vegetation applications. This article provides an overview of remote sensing methods for monitoring ecosystem functions, with a focus on aboveground-biomass production and storage. The study summarizes related research and highlights the importance of factors such as satellite imagery, spatial resolution, spectral bands, algorithm selection, and validation data in accurately quantifying ecosystem functions.
Article
Plant Sciences
Oliver L. Phillips
Summary: The need to measure, monitor, and understand the living planet is greater than ever, and the technology of permanent plots is playing a key role in tropical ecology. Despite the many modern technologies available, direct observations and ground-level research remain crucial in gaining a deeper understanding of Earth's most vital ecosystems.
Article
Ecology
Zhongcong Bao, Eshetu Shifaw, Chengbo Deng, Jinming Sha, Xiaomei Li, Terefe Hanchiso, Wuheng Yang
Summary: This study aims to improve the measurement ability of remote sensing technology in evaluating ecosystem health. By constructing sub-indexes and proposing indicators for vigor, organization, and resilience, remote sensing diagnosis of regional ecosystem health was conducted in the Fuzhou administrative region. The results show a gradual decline in ecosystem health in the region.
ECOLOGICAL INFORMATICS
(2022)
Article
Ecology
Jing Tian, Nianpeng He, Lauren Hale, Shuli Niu, Guirui Yu, Yuan Liu, Evgenia Blagodatskaya, Yakov Kuzyakov, Qun Gao, Jizhong Zhou
FUNCTIONAL ECOLOGY
(2018)
Article
Geography, Physical
Li Xu, Chunyan Wang, Jianxing Zhu, Yang Gao, Meiling Li, Yuliang Lv, Guirui Yu, Nianpeng He
JOURNAL OF GEOGRAPHICAL SCIENCES
(2018)
Article
Forestry
Xiaoyun Zhan, Guirui Yu, Tibin Zhang
SCANDINAVIAN JOURNAL OF FOREST RESEARCH
(2018)
Article
Agronomy
Tao Zhang, Yangjian Zhang, Mingjie Xu, Juntao Zhu, Ning Chen, Yanbin Jiang, Ke Huang, Jiaxing Zu, Yaojie Liu, Guirui Yu
AGRICULTURAL AND FOREST METEOROLOGY
(2018)
Article
Soil Science
Yuqian Tang, Guirui Yu, Xinyu Zhang, Qiufeng Wang, Jianping Ge, Shuang Liu
APPLIED SOIL ECOLOGY
(2018)
Article
Soil Science
Zhiwei Xu, Guirui Yu, Xinyu Zhang, Nianpeng He, Qiufeng Wang, Shengzhong Wang, Xiaofeng Xu, Ruili Wang, Ning Zhao
APPLIED SOIL ECOLOGY
(2018)
Article
Agronomy
Q. Chen, J. Song, W. P. Du, L. Y. Xu, Y. Jiang, J. Zhang, M. Zhang, G. R. Yu
CEREAL RESEARCH COMMUNICATIONS
(2018)
Article
Ecology
Xiaoli Ren, Honglin He, Li Zhang, Fan Li, Min Liu, Guirui Yu, Junhui Zhang
ECOLOGICAL MODELLING
(2018)
Article
Environmental Sciences
Xuehai Fei, Qinghai Song, Yiping Zhang, Yuntong Liu, Liqing Sha, Guirui Yu, Leiming Zhang, Changqun Duan, Yun Deng, Chuansheng Wu, Zhiyun Lu, Kang Luo, Aiguo Chen, Kun Xu, Weiwei Liu, Hua Huang, Yanqiang Jin, Ruiwu Zhou, Jing Li, Youxing Lin, Liguo Zhou, Yane Fu, Xiaolong Bai, Xianhui Tang, Jinbo Gao, Wenjun Zhou, John Grace
SCIENCE OF THE TOTAL ENVIRONMENT
(2018)
Article
Soil Science
Yuan Liu, Nianpeng He, Xuefa Wen, Li Xu, Xiaomin Sun, Guirui Yu, Liyin Liang, Louis A. Schipper
SOIL BIOLOGY & BIOCHEMISTRY
(2018)
Article
Soil Science
Jing Tian, Nianpeng He, Weidong Kong, Ye Deng, Kai Feng, Sophie M. Green, Xiaobo Wang, Jizhong Zhou, Yakov Kuzyakov, Guirui Yu
SOIL BIOLOGY & BIOCHEMISTRY
(2018)
Article
Multidisciplinary Sciences
Li Xu, Guirui Yu, Nianpeng He, Qiufeng Wang, Yang Gao, Ding Wen, Shenggong Li, Shuli Niu, Jianping Ge
SCIENTIFIC REPORTS
(2018)
Article
Environmental Sciences
Rong Ge, Honglin He, Xiaoli Ren, Li Zhang, Pan Li, Na Zeng, Guirui Yu, Liyun Zhang, Shi-Yong Yu, Fawei Zhang, Hongqin Li, Peili Shi, Shiping Chen, Yanfen Wang, Xiaoping Xin, Yaoming Ma, Mingguo Ma, Yu Zhang, Mingyuan Du
Article
Geosciences, Multidisciplinary
Xiaoli Ren, Honglin He, Li Zhang, Guirui Yu
EARTH SYSTEM SCIENCE DATA
(2018)
Article
Ecology
Zhiwei Xu, Guirui Yu, Xinyu Zhang, Nianpeng He, Qiufeng Wang, Shengzhong Wang, Xiaofeng Xu, Ruili Wang, Ning Zhao
