Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Jinlong Ai"'
Autor:
Jinlong Ai, Xiaowen Qi, Rensen Zhang, Mingye He, Jingyang Li, Ronghan Xu, Yapeng Li, Sangeeta Sarmah, Huan Wang, Junfang Zhao
Publikováno v:
Frontiers in Ecology and Evolution, Vol 11 (2023)
Terrestrial ecosystem respiration (Reco) in drylands (arid and semi-arid areas) contributes to the largest uncertainty of the global carbon cycle. Here, using the Reco data from 24 sites (98 site-years) in drylands from Fluxnet and corresponding MODI
Externí odkaz:
https://doaj.org/article/c3ce2b94741b49d291cf93a312c1d700
Publikováno v:
PLoS ONE, Vol 18, Iss 10, p e0285790 (2023)
Forests play a key role in the regional or global carbon cycle. Determining the forest carbon budget is of great significance for estimating regional carbon budgets and formulating forest management policies to cope with climate change. However, the
Externí odkaz:
https://doaj.org/article/b42260f5b3a44d1b9208256b1e69e48d
Publikováno v:
Big Earth Data, Vol 4, Iss 2, Pp 142-152 (2020)
This paper describes how a validated semi-empirical, but physiologically based, remote sensing model – Ensemble_all – was up-scaled using MODIS land surface temperature data (MOD11C2), enhanced vegetation indices (MOD13C1) and land-cover data (MC
Externí odkaz:
https://doaj.org/article/642c5adf149d4d91a4e22d48558497dd
Publikováno v:
Ecological Indicators, Vol 130, Iss , Pp 108074- (2021)
Vegetation is a key component of the terrestrial ecosystems, its dynamics serve as an indicator of vegetation health and ecosystem stability. However, the vegetation dynamics and its responses to climatic change and human activities remain unclear in
Externí odkaz:
https://doaj.org/article/d655e89a24df4301990489700bf67c3a
Publikováno v:
Remote Sensing, Vol 14, Iss 19, p 5022 (2022)
The eddy covariance (EC) technique has been widely used as a micrometeorological tool to measure carbon, water and energy exchanges. When utilizing the EC measurements, it is critical to be aware of the long-term information on source areas. In China
Externí odkaz:
https://doaj.org/article/e245e7bac70e4b4087af1d97e8a409ce
Autor:
Ling Jiang, Jinlian Du, Haili Xu, Xiaohua Zhuo, Jinlong Ai, Jiayu Zeng, Ronghua Yang, Erhu Xiong
Publikováno v:
Analytical chemistry.
Sensitive and specific assay of microRNAs (miRNAs) is beneficial to early disease screening. Herein, we for the first time proposed clustered regularly interspaced short palindromic repeats (CRISPR)/Cas13a-mediated photoelectrochemical biosensors for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54d86a68073a156666a0efdad12e4c47
https://pubmed.ncbi.nlm.nih.gov/36602461
https://pubmed.ncbi.nlm.nih.gov/36602461
Publikováno v:
Big Earth Data, Vol 4, Iss 2, Pp 142-152 (2020)
This paper describes how a validated semi-empirical, but physiologically based, remote sensing model – Ensemble_all – was up-scaled using MODIS land surface temperature data (MOD11C2), enhanced vegetation indices (MOD13C1) and land-cover data (MC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1321e06823117bd5c63fe37f2f12e86
https://doi.org/10.1080/20964471.2020.1768001
https://doi.org/10.1080/20964471.2020.1768001
Publikováno v:
Ecological Indicators, Vol 130, Iss, Pp 108074-(2021)
Background: Vegetation is a key component of terrestrial ecosystems. The dynamics of vegetation can be used as an indicator of vegetation health and ecosystem stability. However, the dynamics and responses of vegetation in Southwestern China remain u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac7b6ededaf26a2824c05b810117ef89
https://doi.org/10.21203/rs.3.rs-91188/v1
https://doi.org/10.21203/rs.3.rs-91188/v1
Publikováno v:
Journal of Geophysical Research: Biogeosciences. 123:326-352
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59a81bb699a1b30d09e4bd6b5f2d3a27
https://doi.org/10.1002/2017jg004107
https://doi.org/10.1002/2017jg004107