Article
Environmental Sciences
Zongxu Yu, Tianye Wang, Ping Wang, Jingjie Yu
Summary: This study analyzed the vegetation dynamics and response to changes in precipitation and soil moisture in midlatitude drylands of the Northern Hemisphere. The results showed an overall greening trend in the dryland vegetation over the past 38 years, with strong correlations between precipitation/soil moisture and vegetation growth.
Article
Agronomy
Lidong Zou, Kayla Stan, Sen Cao, Zaichun Zhu
Summary: Systematic testing of vegetation and ecosystem response to environmental drivers in Dynamic Global Vegetation Models (DGVMs) is necessary to improve our understanding of the carbon cycle in Tropical Rainforests (TRFs). This study uses reprocessed monthly MODIS LAI products and in-situ data to evaluate the performance of 14 state-of-the-art models in simulating long-term trends, interannual variability, seasonality, and El Nin & SIM;o impacts on greenness in global TRFs. The results show that most DGVMs overestimate the long-term trend, fail to capture the fine-scale variability, and poorly represent the vegetation conditions during El Nin & SIM;o.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Environmental Sciences
Alexander J. Norton, Peter J. Rayner, Ying-Ping Wang, Nicholas C. Parazoo, Latha Baskaran, Peter R. Briggs, Vanessa Haverd, Russell Doughty
Summary: Vegetation growth plays an important role in land-atmosphere interactions, but the impact of water movement on vegetation response has been underestimated. This study shows that ecosystems with high hydrologic connectivity have higher interannual variability in vegetation productivity, driven by differences in soil moisture and water capacity. These ecosystems contribute significantly to regional carbon uptake through higher rates of photosynthesis and also affect annual anomalies. Global land surface models need to consider the role of water connectivity in order to accurately simulate carbon uptake.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Environmental Sciences
Lingxue Yu, Ye Liu, Xuan Li, Fengqin Yan, Vincent Lyne, Tingxiang Liu
Summary: The study investigates the impact of observed vegetation cover change on daytime and nighttime land surface temperatures (LST) during the growing season globally. The results show asymmetric warming trends in daytime and nighttime LST, leading to a decline in the diurnal LST range. Air temperature is found to be the dominant contributor to the LST changes, while increased leaf area index (LAI) has a cooling effect on daytime LST and a warming effect on nighttime LST.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Forestry
Guangchao Li, Wei Chen, Liqiang Mu, Xuepeng Zhang, Pengshuai Bi, Zhe Wang, Zhen Yang
Summary: This study predicts the spatiotemporal dynamic changes in global vegetation leaf area index (LAI) using a coupled multiple linear regression and improved gray model (CMLRIGM). The results show that this model provides more accurate predictions compared to other models and can effectively address the underestimation or overestimation of LAI. The study also reveals a historical increase in global vegetation LAI and predicts a future growth trend.
JOURNAL OF FORESTRY RESEARCH
(2023)
Article
Plant Sciences
Zhengjie Yan, Jinfeng Xu, Xiaoyi Wang, Zhiyong Yang, Dan Liu, Guoshuai Li, Huabing Huang
Summary: Research shows that during the warming hiatus, the spring phenology in the Pan-Third Pole region continues to advance due to increased preseason minimum temperature and water availability. The importance of precipitation in spring phenological changes is also increasing, potentially shifting the control from temperature to precipitation in a warmer world.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Environmental Sciences
Na Sun, Naijing Liu, Xiang Zhao, Jiacheng Zhao, Haoyu Wang, Donghai Wu
Summary: This study quantifies the spatial patterns and temporal changes of vegetation resilience and resistance to climate change, finding that observation-based vegetation resilience and resistance are closely related to the local environment. Ecosystem models are able to capture the spatial patterns of vegetation resistance to some extent, but struggle to capture patterns of vegetation resilience. The study also reveals regional changes in vegetation resilience and resistance over the past three decades.
Article
Geosciences, Multidisciplinary
Mingzhu He, Shaoyuan Chen, Xu Lian, Xuhui Wang, Josep Penuelas, Shilong Piao
Summary: Vegetation light-use efficiency (LUE) is a critical parameter for vegetation photosynthesis, and its global variations are driven by environmental conditions, plant traits, and their interactions. However, current global vegetation models underestimate LUE and fail to capture the key drivers. Therefore, a shift to a trait-climate spectrum-based approach is necessary for the next-generation models to accurately simulate vegetation carbon uptake in response to climate change.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Editorial Material
Plant Sciences
Tony Cesar de Sousa Oliveira, Maquelle Neves Garcia, Elmar Veenendaal, Tomas Ferreira Domingues
Summary: The one-point method (OPM) is a convenient way to estimate the maximum apparent carboxylation rate of Rubisco (V'(cmax)) based on a single measurement of leaf carbon assimilation rate under saturating light and ambient CO2 (De Kauwe et al., 2016). However, the OPM overestimates V'(cmax) at high temperatures (Burnett et al., 2019) due to the fixed R-day:V-cmax ratio it assumes, which does not account for different temperature dependencies of these parameters. It is important to adopt a temperature-dependent scaling factor for the R-day:V-cmax ratio to avoid overestimation of photosynthetic capacity at temperatures >35 degrees C.
JOURNAL OF EXPERIMENTAL BOTANY
(2023)
Article
Biodiversity Conservation
Zhaoqi Wang, Hong Wang, Tongfang Wang, Lina Wang, Xiang Liu, Kai Zheng, Xiaotao Huang
Summary: This study analyzed the global vegetation trend and uncertainty from 2001 to 2016 using remote sensing and climate data. It found that the global vegetation trend became uncertain after 2000, with different vegetation types contributing differently to the uncertainty. The study also revealed spatial and temporal variations in the effects of climate on vegetation.
GLOBAL ECOLOGY AND CONSERVATION
(2022)
Article
Plant Sciences
Jie Zhao, Kunlun Xiang, Zhitao Wu, Ziqiang Du
Summary: This study investigates the spatiotemporal variations in the relationship between vegetation greenness and day- and night-time warming globally. The findings indicate a generally weakening warming effect on vegetation activity, with a decline in vegetation response to maximum temperature mainly in mid-latitudes and high latitudes of the northern hemisphere, and a decline in response to minimum temperature primarily in low latitudes.
Article
Multidisciplinary Sciences
David I. Armstrong Mckay, Arie Staal, Jesse F. Abrams, Ricarda Winkelmann, Boris Sakschewski, Sina Loriani, Ingo Fetzer, Sarah E. Cornell, Johan Rockstrom, Timothy M. Lenton
Summary: This study provides a revised shortlist of global core tipping elements and regional impact tipping elements and their temperature thresholds through synthesizing paleoclimate, observational, and model-based research. The current global warming is already approaching the lower end of some tipping point uncertainty ranges, and several tipping points may be triggered within the range of global warming set by the Paris Agreement. Therefore, urgent action is needed to mitigate climate change and develop improved tipping point risk assessment, early warning capability, and adaptation strategies.
Article
Environmental Sciences
Violeta Ferreira, Maria D. Pavlaki, Roberto Martins, Marta S. Monteiro, Frederico Maia, Joao Tedim, Amadeu M. V. M. Soares, Ricardo Calado, Susana Loureiro
Summary: This study evaluated the biochemical and physiological effects of an antifouling nano-additive based on nanotechnology on the symbiotic coral Sarcophyton cf. glaucum. Results showed that thermal stress and exposure to biocides led to temporary coral polyp retraction and physiological impacts, especially when both stressors were present.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Sicheng Ding, Xuewen Yao, Jin Wang, Ximing Deng, Miaomiao Zhang, Jilan Long, Shutao Chen, Zhenghua Hu, Dan Wang, Yanling Wang, Jun Wang, Tingting Zhang
Summary: The study found that soil respiration is influenced by soil temperature, moisture, vegetation indexes, leaf area index, and chlorophyll content, and models including these factors could explain a significant portion of seasonal variation in soil respiration. Additionally, models incorporating seasonal vegetation indexes and leaf area index were effective in explaining interseasonal and intertreatment variations in soil respiration across different crop-growing seasons. The study highlights the potential use of hyperspectral vegetation indexes, leaf area index, and chlorophyll content in estimating soil respiration at a regional scale.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Geosciences, Multidisciplinary
Xiaolin Huang, Lu Hao, Ge Sun, Zong-Liang Yang, Wenhong Li, Dongxu Chen
Summary: This study examines the influence of urbanization on local atmospheric moisture under global warming in China. The findings indicate significant declines in atmospheric humidity, forming an 'Urban Dry Island' (UDI). The observed UDI is caused by global warming, urban heat island effect, and reduction in local evapotranspiration and water vapor supplies. The magnitude and frequency of UDI are more pronounced in humid regions compared to arid regions due to differences in background climate and vegetation characteristics. Restoring the evapotranspiration power of urban ecosystems is crucial in mitigating the negative effects of UDI and UHI.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Ecology
Anthony Banyouko Ndah, Lalit Dagar, Kazimierz Becek
REGIONAL STUDIES IN MARINE SCIENCE
(2017)
Article
Remote Sensing
Bayik Caglar, K. Becek, C. Mekik, M. Ozendi
REMOTE SENSING LETTERS
(2018)
Article
Environmental Sciences
Elaheh Zadbagher, Kazimierz Becek, Suha Berberoglu
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2018)
Article
Environmental Sciences
Deniz Arca, Hakan S. Kutoglu, Kazimierz Becek
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2018)
Article
Ecology
Anthony Banyouko Ndah, Lalit Dagar, Kazimierz Becek, John Onu Odihi
REGIONAL STUDIES IN MARINE SCIENCE
(2019)
Article
Environmental Sciences
Hakan S. Kutoglu, Kazimierz Becek
Summary: The study found that the seismic activity in the Mediterranean Ridge accretionary complex is related to variations in ocean bottom pressure, which may be influenced by factors such as atmosphere, oceans, and hydrosphere processes, Earth's pole movement, and solar activity. The trend of ocean bottom pressure changes appears to be linked to the trend and periodic components in the earthquakes' energy time series, indicating that ocean-bottom pressure variation could be a promising lead for further research.
Article
Forestry
Kazimierz Becek, Gabriel Yit Vui Yong, Rahayu Sukmaria Sukri, Daphne Teck Ching Lai
Summary: The Badas peat swamp forest in Brunei Darussalam, Borneo, has not recovered from past disturbances caused by logging and caterpillar infestation over the past 14 years. This study supports the conclusion of irreversible degradation of Bornean peatland and peat forests.
FOREST ECOLOGY AND MANAGEMENT
(2022)
Article
Chemistry, Analytical
Edward Osada, Magdalena Owczarek-Wesolowska, Krzysztof Karsznia, Kazimierz Becek, Zbigniew Muszynski
Summary: This study proposes a novel method for estimating the GNSS coordinates of inaccessible locations. By utilizing the surveying intersection method and data from an Earth Gravity Model, the method achieves high accuracy in determining the coordinates of the inaccessible point through field tests.
Proceedings Paper
Geography, Physical
Kazimierz Becek, Paulina Waclawik
Summary: Monitoring vegetation cover is a prime aim of remote sensing, and one method is to assess forest change using survey data from satellite orbit. This study presents the results of forest monitoring using the difference between two DEMs captured approximately 15 years apart, and concludes that this method can provide preliminary assessment of forest change.
XXIV ISPRS CONGRESS: IMAGING TODAY, FORESEEING TOMORROW, COMMISSION III
(2022)
Article
Engineering, Electrical & Electronic
Kazimierz Becek, Khairunnisa Ibrahim, Caglar Bayik, Saygin Abdikan, Hakan S. Kutoglu, Dariusz Glabicki, Jan Blachowski
Summary: Recent developments in space-based surveying methods, including DInSAR, have expanded options for monitoring land subsidence. A simple statistical method can now be used to identify land subsidence signals in freely available global digital elevation models, paving the way for computer applications that can monitor various geological effects on the Earth's surface. This provides a valuable tool for studying land deformation.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Multidisciplinary Sciences
Kazimierz Becek, Kamariah A. Salim, John O. Odihi
Article
Geosciences, Multidisciplinary
Kazimierz Becek, Volkan Akgul, Samed Inyurt, Cetin Mekik, Patrycja Pochwatka
Proceedings Paper
Geography, Physical
K. Becek, A. Borkowski, C. Mekik
XXIII ISPRS CONGRESS, COMMISSION VII
(2016)
Article
Remote Sensing
Kazimierz Becek
Geodesy and Cartography
(2016)