Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Xianjin He"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Accurate magnetic field calculation is the premise of electromagnetic performance prediction. Conventional subdomain (SD) techniques assume that the iron’s relative permeability is infinite, leading to falsely overestimated flux density. W
Externí odkaz:
https://doaj.org/article/4b72f6b6e0b4406380718c3706ac4e38
Autor:
Xianjin He, Elsa Abs, Steven D. Allison, Feng Tao, Yuanyuan Huang, Stefano Manzoni, Rose Abramoff, Elisa Bruni, Simon P. K. Bowring, Arjun Chakrawal, Philippe Ciais, Lars Elsgaard, Pierre Friedlingstein, Katerina Georgiou, Gustaf Hugelius, Lasse Busk Holm, Wei Li, Yiqi Luo, Gaëlle Marmasse, Naoise Nunan, Chunjing Qiu, Stephen Sitch, Ying-Ping Wang, Daniel S. Goll
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Microbial carbon use efficiency (CUE) affects the fate and storage of carbon in terrestrial ecosystems, but its global importance remains uncertain. Accurately modeling and predicting CUE on a global scale is challenging due to inconsistenci
Externí odkaz:
https://doaj.org/article/e377fa1bab664e8890eda0c86a147090
Solar Radiation Triggers the Bimodal Leaf Phenology of Central African Evergreen Broadleaved Forests
Autor:
Liyang Liu, Philippe Ciais, Fabienne Maignan, Yuan Zhang, Nicolas Viovy, Marc Peaucelle, Elizabeth Kearsley, Koen Hufkens, Marijn Bauters, Colin A. Chapman, Zheng Fu, Shangrong Lin, Haibo Lu, Jiashun Ren, Xueqin Yang, Xianjin He, Xiuzhi Chen
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 7, Pp n/a-n/a (2024)
Abstract Central African evergreen broadleaved forests around the equator exhibit a double annual cycle for canopy phenology and carbon uptake seasonality. The underlying drivers of this behavior are poorly understood and the double seasonality is no
Externí odkaz:
https://doaj.org/article/4a395775eb694aacbbd7f852f0358a0a
Autor:
Bruno Ringeval, Josephine Demay, Daniel S. Goll, Xianjin He, Ying-Ping Wang, Enqing Hou, Sarah Matej, Karl-Heinz Erb, Rong Wang, Laurent Augusto, Fei Lun, Thomas Nesme, Pasquale Borrelli, Julian Helfenstein, Richard W. McDowell, Peter Pletnyakov, Sylvain Pellerin
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-34 (2024)
Abstract Numerous drivers such as farming practices, erosion, land-use change, and soil biogeochemical background, determine the global spatial distribution of phosphorus (P) in agricultural soils. Here, we revised an approach published earlier (call
Externí odkaz:
https://doaj.org/article/c5c1fbe367ca47e09ada282241e1c787
Autor:
Bingwei Zhang, Yun Jiang, Xianjin He, Youshi Wang, Jiawei Li, Xueli Huang, Zufei Shu, Buhang Li, Chengjin Chu
Publikováno v:
Ecosphere, Vol 15, Iss 3, Pp n/a-n/a (2024)
Abstract Soil carbon (C) cycling plays a critical role in regulating global C budget and atmospheric CO2 concentrations. The ongoing global warming potentially accelerates soil C loss induced by microbial respiration (MR) and makes soil a large C sou
Externí odkaz:
https://doaj.org/article/51c8213dfd6c462cbdd6245c6320cf43
Autor:
Xianjin He, Puliang Lyu
Publikováno v:
Geocarto International, Vol 39, Iss 1 (2024)
The partitioning of building groups is a prerequisite for map generalization. Existing methods center on the spatial relationships between individual buildings, neglecting the interrelations among building groups. As such, these methods prove suitabl
Externí odkaz:
https://doaj.org/article/e937cac5fa844c80ba660ff108998e18
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 11, Iss 6, p 332 (2022)
Recognizing building group patterns is fundamental to numerous fields, such as urban landscape evaluation, social analysis, and map generalization. Despite the increasing number of algorithms available for building group pattern recognition, there is
Externí odkaz:
https://doaj.org/article/5c668187c5e640edb9d137e70a32155b
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 4, p 231 (2020)
Building pattern recognition is fundamental to a wide range of downstream applications, such as urban landscape evaluation, social analyses, and map generalization. Although many studies have been conducted, there is still a lack of satisfactory resu
Externí odkaz:
https://doaj.org/article/497712e7644141f19bb9abb5678adfb1
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 7, Iss 3, p 116 (2018)
Map generalization utilizes transformation operations to derive smaller-scale maps from larger-scale maps, and is a key procedure for the modelling and understanding of geographic space. Studies to date have largely applied a fixed tolerance to aggre
Externí odkaz:
https://doaj.org/article/c7f70e8e088646f29d4a39e836e75f9f
