Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Yingqiang Song"'
Publikováno v:
Ecological Indicators, Vol 169, Iss , Pp 112865- (2024)
To explore the impact of environmental factors on soil organic carbon (SOC) with machine learning (ML) model is of great significance for mitigating climate change and soil carbon sequestration and emission reduction. However, the traditional ML mode
Externí odkaz:
https://doaj.org/article/9126a13cb17b49c4a79f665a9a6ff1ca
Publikováno v:
Agriculture, Vol 14, Iss 9, p 1453 (2024)
The spatial prediction of soil CO2 flux is of great significance for assessing regional climate change and high-quality agricultural development. Using a single satellite to predict soil CO2 flux is limited by climatic conditions and land cover, resu
Externí odkaz:
https://doaj.org/article/ef9899205ea94314901b4d9359b5dbf6
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1948 (2024)
Monitoring and evaluation of soil ecological environments are very important to ensure saline–alkali soil health and the safety of agricultural products. It is of foremost importance to, within a regional ecological risk-reduction strategy, develop
Externí odkaz:
https://doaj.org/article/10c0b9f65079449298da37d4dbafb1d7
Autor:
Yingqiang Song, Mingzhu Ye, Zhao Zheng, Dexi Zhan, Wenxu Duan, Miao Lu, Zhenqi Song, Dengkuo Sun, Kaizhong Yao, Ziqi Ding
Publikováno v:
Remote Sensing, Vol 15, Iss 17, p 4268 (2023)
Spatial prediction of soil ammonia (NH3) plays an important role in monitoring climate warming and soil ecological health. However, traditional machine learning (ML) models do not consider optimal parameter selection and spatial autocorrelation. Here
Externí odkaz:
https://doaj.org/article/67d7b098e9404af086bf8e35c17212cc
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 5, p 1069 (2023)
The rapid development of industrialization and urbanization has posed serious challenges for coastal farmland ecosystems. Source apportionment of soil heavy metals is an effective way for the detection of non-point source pollution in farmland to hel
Externí odkaz:
https://doaj.org/article/543409f03abf48f9b7cbd9c73a4def6e
Autor:
Dexi Zhan, Yongqi Mu, Wenxu Duan, Mingzhu Ye, Yingqiang Song, Zhenqi Song, Kaizhong Yao, Dengkuo Sun, Ziqi Ding
Publikováno v:
Agriculture, Vol 13, Iss 5, p 1088 (2023)
Soil water content is an important indicator used to maintain the ecological balance of farmland. The efficient spatial prediction of soil water content is crucial for ensuring crop growth and food production. To this end, 104 farmland soil samples w
Externí odkaz:
https://doaj.org/article/a28ee71db9ce4447ae29e2abd67df657
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 11, Iss 12, p 604 (2022)
The development of high nature value farmland (HNVf) can effectively improve the problems of biodiversity reduction, non-point source pollution and carbon loss in intensive farmland. To this end, we developed a set of general indicators based on Land
Externí odkaz:
https://doaj.org/article/0857e2f57f804d29a95c17404d90f8d6
Publikováno v:
Sustainability; Volume 15; Issue 8; Pages: 6728
High nature value farmland (HNVf) plays an important role in improving biodiversity and landscape heterogeneity, and it is effective in curbing soil non-point source pollution and carbon loss in sustainable eco-agricultural systems. To this end, we d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29a4a6dac5477c3010f41723715d0b37
Autor:
Lu Wang, Runyan Zou, Yuejiang Han, Zhengxi Tan, Yingkai Xie, Hao Yang, Huiyue Su, Huan Yu, Zhiqiang Zhu, Yingqiang Song
To evaluate the impacts of vegetable and soil variables on phytoaccumulation of arsenic (As), cadmium (Cd) and chromium (Cr) and identify their interactions and predictors, 33 paired soil-vegetable samples were collected from the production areas of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::857c89f8d1755a0db6d9caf0a9f0a953
https://doi.org/10.21203/rs.3.rs-2618606/v1
https://doi.org/10.21203/rs.3.rs-2618606/v1
Publikováno v:
Marine pollution bulletin. 184
The contamination status and ecological risk of soil potentially toxic elements (PTEs) in Yellow River Delta (YRD) are still poorly understood. Thirty surface soil samples were collected in YRD, determined for contents of PTEs, and assessed using fou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1321b7fcad3f90ea6bac25c0abb28fe5
https://pubmed.ncbi.nlm.nih.gov/36215760
https://pubmed.ncbi.nlm.nih.gov/36215760