Article
Ecology
Ao Yang, Xiaoming Kang, Yong Li, Xiaodong Zhang, Kerou Zhang, Enze Kang, Zhongqing Yan, Meng Li, Xiaodong Wang, Yuechuan Niu, Liang Yan
Summary: Alpine wetlands play an important role in the global carbon balance, but are experiencing severe degradation under climate change and human activities. This study investigated the effect of wetland degradation on carbon fluxes and found that carbon sequestration capacity decreased with intensification of the degradation. The degradation also led to reduced soil water content, soil organic carbon, and microbial biomass. These findings highlight the importance of managing and utilizing degraded wetlands in response to climate change.
FRONTIERS IN ECOLOGY AND EVOLUTION
(2022)
Article
Engineering, Electrical & Electronic
Li He, Chengying Li, Zhengwei He, Xian Liu, Rui Qu
Summary: This study used remote sensing and hydrology data to propose a new grazing coupled remote sensing process model for the Zoige wetland, which could accurately estimate the regional-scale vegetation net primary productivity. The model provided technical and theoretical support for wetland ecosystem management and offered a new method for studying vegetation NPP, contributing to improving the accuracy of regional-scale vegetation NPP estimates.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Linlin Cui, Guosheng Li, Huajun Liao, Ninglei Ouyang, Xingyue Li, Dan Liu
Summary: In recent decades, human activities have caused significant degradation of coastal wetlands in Jiangsu Province, China. This study used remote sensing and evaluation methods to quantify the spatial and temporal characteristics of wetland degradation. The results showed that the degradation was severe, with different levels of degradation observed in different areas. The main causes of degradation were the conversion of wetlands into construction land, fish farming, arable land, and the invasion of exotic species. It is important to strictly control the development and utilization of coastal wetland resources to achieve sustainable development in coastal areas.
Article
Engineering, Electrical & Electronic
Xuexia Zhang, Shujing Fu, Zheyuan Hu, Jinxing Zhou, Xue Zhang
Summary: The study found that changes in wetland cover types in the Zoige alpine wetland are influenced by temperature, wind speed, and human activities. The decrease in marsh areas caused wetland loss, while the transition from alpine meadows to swamp meadows led to wetland expansion.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Xiaoping Wang, Jingming Shi, Chenfeng Wang, Chao Gao, Fei Zhang
Summary: This study uses remote sensing inversion and mapping techniques to estimate forest stand age, taking into account the remote sensing mechanism of vegetation indices and the physiological function and canopy structure of the forest. Multiple linear regression and random forest models are used for the estimation, and the accuracy of the models is evaluated. The results show that the reflectance of the canopy decreases with the increase of forest stand age, and the relationship between forest stand age and red edge is the most significant. The random forest model has a higher accuracy in estimating forest stand age.
Article
Oceanography
Kexin Chen, Pifu Cong, Limei Qu, Shuxiu Liang, Zhaochen Sun
Summary: This study used satellite images and an index system to evaluate the degree of degradation and zoning of the Yellow River Delta wetlands. It found that the wetland degradation has increased over the years, with degraded areas clustered in certain regions. Strengthening management of the new estuary and coastal areas is necessary to prevent further degradation.
OCEAN & COASTAL MANAGEMENT
(2022)
Article
Environmental Sciences
Tao Yu, Guli Jiapaer, Anming Bao, Guoxiong Zheng, Liangliang Jiang, Ye Yuan, Xiaoran Huang
Summary: The research establishes a Salinized Land Degradation Index (SDI) by integrating various indicators and applies it to analyze the land degradation in the Central Asia Amu Darya delta from 1990 to 2019. The results show an increase in extreme and strong land degradation areas in the downstream and peripheral regions of the ADD during this period. The study provides valuable insights into land degradation monitoring and management in similar salinized delta regions globally.
Article
Environmental Sciences
Songbin Yu, Fan Lu, Yuyan Zhou, Xiaoyu Wang, Kangming Wang, Xinyi Song, Ming Zhang
Summary: This study evaluates the performance of three precipitation products on the Tibetan Plateau and constructs an index system. The results show that GPM performs the best in terms of detection capability and at monthly and annual scales. All three products overestimate precipitation between 0.1 and 1 mm/day and underestimate precipitation at 10-20 mm/day.
Article
Engineering, Civil
Xinwei Liu, Wei Zhan, Dan Zhu, Ning Wu, Yixin He, Huai Chen
Summary: This study used an eddy covariance tower to measure water vapor flux in wetland area of the Qinghai-Tibetan Plateau in China. The results showed that water vapor flux in wetlands has a long-term impact on both micro-meteorological environment and net CO2 ecosystem exchange (NEE).
JOURNAL OF HYDROLOGY
(2022)
Article
Engineering, Environmental
Dongdan Yuan, Lei Zheng, Qiuyang Tan, Xue Wang, Yuzi Xing, Huipeng Wang, Shanyun Wang, Guibing Zhu
Summary: The discovery of comammox bacteria in plateau wetlands highlights their widespread distribution and different activities and dominance at high and low elevations, indicating their potentially important yet underestimated role in microbial nitrification processes in plateau wetland ecosystems.
Review
Environmental Sciences
Abdallah Yussuf Ali Abdelmajeed, Mar Albert-Saiz, Anshu Rastogi, Radoslaw Juszczak
Summary: A systematic literature review reveals that only platform-as-a-service has been implemented for wetland monitoring through the integration of cloud computing and remote sensing. However, the current integration of these technologies is not sufficient to fully benefit from their potential. Despite this, economic benefits can still be achieved by implementing cloud computing and remote sensing for wetland monitoring.
Article
Biodiversity Conservation
Manudeo Singh, Rajiv Sinha
Summary: A framework has been developed to assess the health status of wetlands by evaluating hydrogeomorphic characteristics and vegetation dynamics at the Kaabar Tal wetland in eastern India. The wetland is found to be in a degraded state, primarily due to agriculture, with varying degrees of degradation within the wetland.
ECOLOGICAL INDICATORS
(2021)
Article
Forestry
Keqi He, Yu Zhang, Wenhong Li, Ge Sun, Steve McNulty
Summary: Sea-level rise and climate change pose increasing threats to coastal wetlands. This study developed a new framework using remote sensing data and a hydrologic model to detect and understand the spatial and temporal patterns of coastal wetland degradation. By studying a wildlife refuge in North Carolina, it was found that most of the detected degradation occurred within 2 km from the shoreline and in the past five years.
Article
Microbiology
Juanli Yun, Andrew T. Crombie, Muhammad Farhan Ul Haque, Yuanfeng Cai, Xiaowei Zheng, Jian Wang, Zhongjun Jia, J. Colin Murrell, Yanfen Wang, Wenbin Du
Summary: Research on the Zoige wetland of the Tibetan Plateau found that type I methanotrophs of gammaproteobacteria play a key role in methane oxidation. Additionally, two phylogenetically novel methanotroph MAGs distantly related to extant Methylobacter and Methylovulum were recovered, participating in methane oxidation via H4MPT and RuMP pathways. The study highlights the importance of methanotrophs in suppressing methane emission in the wetland under the scenario of global warming.
ENVIRONMENTAL MICROBIOLOGY
(2021)
Article
Environmental Sciences
Yulin Pu, Dan Wang, Meng Li, Shirong Zhang, Yun Li, Ting Li, Guiyig Wang, Dagang Yuan, Yongxia Jia, Xiaoxun Xu
Summary: Phytoliths are important for evaluating carbon sequestration dynamics during marsh degradation. The study found that as alpine marshes degrade, the content of phytoliths and PhytOC significantly decreases. Soil phytolith and PhytOC content significantly decreases with soil depth, especially after moderate degradation of the marsh.
JOURNAL OF SOILS AND SEDIMENTS
(2021)
Article
Engineering, Environmental
Ge Shen, Bin Xu, Yunxiang Jin, Shi Chen, Wenbo Zhang, Jian Guo, Hang Liu, Yujing Zhang, Xiuchun Yang
RESOURCES CONSERVATION AND RECYCLING
(2017)
Article
Remote Sensing
Jian Guo, Xiuchun Yang, Jianming Niu, Yunxiang Jin, Bin Xu, Ge Shen, Wenbo Zhang, Fen Zhao, Yujing Zhang
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2019)
Article
Remote Sensing
Wenbo Zhang, Xiuchun Yang, Asiya Manlike, Yunxiang Jin, Fengling Zheng, Jian Guo, Ge Shen, Yujing Zhang, Bin Xu
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2019)
Article
Remote Sensing
Fen Zhao, Bin Xu, Xiuchun Yang, Lang Xia, Yunxiang Jin, Jinya Li, Wenbo Zhang, Jian Guo, Ge Shen
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2019)
Article
Environmental Sciences
Ge Shen, Xiuchun Yang, Yunxiang Jin, Sha Luo, Bin Xu, Qingbo Zhou
Article
Biodiversity Conservation
Yongcui Lan, Jinliang Wang, Qianwei Liu, Fang Liu, Lanfang Liu, Jie Li, Mengjia Luo
Summary: This study focuses on the five major plateau lake basins in central Yunnan, China, and constructs an ecological security pattern using the source-resistance surface-corridor-pinch point framework. The study simulates land use/cover change in the region and identifies early warning regions where future urban expansion poses a threat to current ecological source areas and corridors.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Pingping Huang, Feng Zhao, Bailing Zhou, Kuidong Xu
Summary: This study investigates the distribution of benthic microeukaryotes in the China Seas and finds that they can stride over the ecological barrier of 32 degrees N. The study also highlights the significant influence of depth, temperature, and latitude on communities in the China Seas.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Federico Morelli, Yanina Benedetti, Jesse Stanford, Leszek Jerzak, Piotr Tryjanowski, Paolo Perna, Riccardo Santolini
Summary: Species distribution models (SDMs) are numerical tools used for predicting species' spatial distribution. This study found that ecological characteristics, such as habitat specialization, play a role in improving the accuracy of SDMs.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Xiaoxuan Wu, Hang Liu, Wei Liu
Summary: Global climate change, urbanization, and economic development have increased the need for sustainable human development, urban ecological governance, and low-carbon energy transformation. This study analyzes the green ecological transition in Chengdu based on panel data from 2010 to 2020, exploring its spatiotemporal evolution and key factors. The results show an overall upward trend in Chengdu's green ecological development and positive spatial autocorrelation in certain districts.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Castaldi Simona, Formicola Nicola, Mastrocicco Micol, Morales Rodriguez Carmen, Morelli Raffaella, Prodorutti Daniele, Vannini Andrea, Zanzotti Roberto
Summary: Sustainable agricultural practices are increasingly important for global and national environmental policies and economy. This study compared the sustainability of grape production under integrated and organic management using multiple indicators. The results showed that organic management was more beneficial for most environmental aspects of the agroecosystem compared to integrated management, without affecting grape yield.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Gaia Vaglio Laurin, Alexander Cotrina-Sanchez, Luca Belelli-Marchesini, Enrico Tomelleri, Giovanna Battipaglia, Claudia Cocozza, Francesco Niccoli, Jerzy Piotr Kabala, Damiano Gianelle, Loris Vescovo, Luca Da Ros, Riccardo Valentini
Summary: Phenology monitoring is important for understanding forest functioning and climate impacts. This research compares the phenological behavior of European beech forests using Tree-Talker (TT+) and Sentinel 2 satellite data. The study finds differences in the information derived by the two sensor types, particularly in terms of season length, phenology changepoints, and leaf period variability. TT+ with its higher temporal resolution demonstrates precision in capturing the phenological changepoints, especially when satellite image availability is limited.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Huanhuan Pan, Ziqiang Du, Zhitao Wu, Hong Zhang, Keming Ma
Summary: The land use and cover changes resulting from coal mining activities and ecological restoration have had a significant impact on ecosystem services in mining areas. This study investigates the relationship between ecosystem services and land use intensity in coal mining areas, emphasizing the importance of understanding this interdependence for balanced human-land system development. The research examines the evolving relationship across different reclamation stages in Shanxi, China, using a coupling coordination degree model. The findings suggest the need for timely and judicious reclamation of coalfields, considering the land's bearing capacity.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Jingjuan He, Yijun Shi, Lihua Xu, Zhangwei Lu, Mao Feng
Summary: This study examines the spatial interplay between changes in the blue-green spatial distribution and modifications in land surface temperature grades in Shanghai. The findings reveal that the transformation of the blue-green spatial pattern differs between different sectors of the city, and the impact on the thermal environment varies spatially.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Yi Xu, Di Zhang, Junqiang Lin, Qidong Peng, Xiaohui Lei, Tiantian Jin, Jia Wang, Ruifang Yuan
Summary: This study analyzed the response relationship between phytoplankton growth and water environmental parameters in the Middle Route of the South-to-North Water Diversion Project in China using long-term monitoring data and machine learning models. The results revealed the differences between monitoring sites and identified the key parameters that affect phytoplankton growth.
ECOLOGICAL INDICATORS
(2024)