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The combined effectiveness of acoustic indices in measuring bird species richness in biodiverse sites in Cyprus, China, and Australia 期刊论文
ECOLOGICAL INDICATORS, 2025, 卷号: 170, 期号: x, 页码: -
Authors:  Mammides, Christos;  Wuyuan, Pan;  Huang, Guohualing;  Sreekar, Rachakonda;  Ieronymidou, Christina;  Jiang, Aiwu;  Goodale, Eben;  Papadopoulos, Harris
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Biodiversity monitoring  Ecoacoustics  Machine-learning  Passive acoustic monitoring  Random forest regressors  Soundscape ecology  
Combining UAV and Sentinel Satellite Data to Delineate Ecotones at Multiscale 期刊论文
FORESTS, 2025, 卷号: 16, 期号: 3, 页码: -
Authors:  Ma, Yuxin;  Xie, Zhangjian;  She, Xiaolin;  De Boeck, Hans J.;  Liu, Weihong;  Yang, Chaoying;  Li, Ninglv;  Wang, Bin;  Liu, Wenjun;  Zhang, Zhiming
Adobe PDF(20897Kb)  |  Favorite  |  View/Download:13/5  |  Submit date:2025/05/21
ecotone  unmanned aerial vehicles  canopy height model  machine learning  multisensory images  multiscale  
Monitoring the Industrial waste polluted stream - Integrated analytics and machine learning for water quality index assessment 期刊论文
JOURNAL OF CLEANER PRODUCTION, 2024, 卷号: 450, 期号: _, 页码: _
Authors:  Ejaz, Ujala;  Khan, Shujaul Mulk;  Jehangir, Sadia;  Ahmad, Zeeshan;  Abdullah, Abdullah;  Iqbal, Majid;  Khalid, Noreen;  Nazir, Aisha;  Svenning, Jens -Christian
Adobe PDF(8130Kb)  |  Favorite  |  View/Download:11/8  |  Submit date:2024/07/22
Industrial wastewater  Machine learning  Assessment and monitoring  Water Quality Index  Artificial Intelligence  
An improved representative of stomatal models for predicting diurnal stomatal conductance at low irradiance and vapor pressure deficit in tropical rainforest trees 期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2024, 卷号: 354, 期号: _, 页码: _
Authors:  Xue, Wei;  He, Xue-min;  Wang, Quan;  Shi, Pei-jun;  Lv, Guang-hui;  Huang, Jian-feng;  Yang, Da;  Zhang, Jiao-lin
Adobe PDF(8789Kb)  |  Favorite  |  View/Download:12/5  |  Submit date:2024/07/22
Stomatal conductance  Photosynthesis  IntercellularCO2 concentration  Vapor pressure deficit  Photosynthetically active radiation  Machine-learning  Random forest  Tropical rainforests  
CRISPRlnc: a machine learning method for lncRNA-specific single-guide RNA design of CRISPR/Cas9 system 期刊论文
BRIEFINGS IN BIOINFORMATICS, 2024, 卷号: 25, 期号: 2, 页码: _
Authors:  Yang, Zitian;  Zhang, Zexin;  Li, Jing;  Chen, Wen;  Liu, Changning
Adobe PDF(2743Kb)  |  Favorite  |  View/Download:6/2  |  Submit date:2024/07/22
CRISPR/Cas9  machine learning  lncRNA  sgRNA  
Assessing the destabilization risk of ecosystems dominated by carbon sequestration based on interpretable machine learning method 期刊论文
ECOLOGICAL INDICATORS, 2024, 卷号: 167, 期号: x, 页码: -
Authors:  Zuo, Lingli;  Liu, Guohua;  Fang, Zhou;  Zhao, Junyan;  Li, Jiajia;  Zheng, Shuyuan;  Su, Xukun
Adobe PDF(5443Kb)  |  Favorite  |  View/Download:11/5  |  Submit date:2024/11/19
Carbon sequestration (CS)  Trade-off/ synergy  Destabilization risk  Machine learning  SHAP value  Northeastern China  
Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 857, 期号: x, 页码: -
Authors:  Zhu, Xian-Jin;  Yu, Gui-Rui;  Chen, Zhi;  Zhang, Wei-Kang;  Han, Lang;  Wang, Qiu-Feng;  Chen, Shi-Ping;  Liu, Shao-Min;  Yan, Jun-Hua;  Zhang, Fa -Wei;  Zhao, Feng-Hua;  Li, Ying-Nian;  Zhang, Yi-Ping;  Shi, Pei -Li;  Zhu, Jiao-Jun;  Wu, Jia-Bing;  Zhao, Zhong-Hui;  Hao, Yan-Bin;  Sha, Li-Qing;  Zhang, Yu-Cui;  Jiang, Shi-Cheng;  Gu, Feng-Xue;  Wu, Zhi-Xiang;  Wang, Hui-Min;  Tan, Jun-Lei;  Zhang, Yang-Jian;  Zhou, Li;  Tang, Ya-Kun;  Jia, Bing-Rui;  Li, Yu-Qiang;  Song, Qing-Hai;  Dong, Gang;  Gao, Yan-Hong;  Jiang, Zheng-De;  Sun, Dan;  Wang, Jian-Lin;  He, Qi-Hua;  Li, Xin-Hu;  Wang, Fei;  Wei, Wen-Xue;  Deng, Zheng-Miao;  Hao, Xiang-Xiang;  Li, Yan;  Liu, Xiao-Li;  Zhang, Xi-Feng;  Zhu, Zhi-Lin
Adobe PDF(7504Kb)  |  Favorite  |  View/Download:20/9  |  Submit date:2023/03/01
Carbon cycle  Climate change  Eddy covariance  Terrestrial ecosystem  Machine learning  Scale extension  
Ecosystem responses dominate the trends of annual gross primary productivity over terrestrial ecosystems of China during 2000-2020 期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2023, 卷号: 343, 期号: x, 页码: _
Authors:  Zhu, Xian-Jin;  Yu, Gui-Rui;  Chen, Zhi;  Zhang, Wei-Kang;  Han, Lang;  Wang, Qiu-Feng;  Qi, Hua;  Yang, Meng;  Liu, Zhao-Gang;  Dou, Xiao-Jun;  Ma, Le-Xin;  Chen, Shi-Ping;  Liu, Shao-Min;  Wang, Hui-Min;  Yan, Jun-Hua;  Tan, Jun-Lei;  Zhang, Fa-Wei;  Zhao, Feng-Hua;  Li, Ying-Nian;  Zhang, Yi-Ping;  Shi, Pei-Li;  Zhu, Jiao-Jun;  Wu, Jia-Bing;  Zhao, Zhong-Hui;  Hao, Yan-Bin;  Sha, Li-Qing;  Zhang, Yu-Cui;  Jiang, Shi-Cheng;  Gu, Feng-Xue;  Wu, Zhi-Xiang;  Zhang, Yang-Jian;  Zhou, Li;  Tang, Ya-Kun;  Jia, Bing-Rui;  Li, Yu-Qiang;  Song, Qing-Hai;  Dong, Gang;  Gao, Yan-Hong;  De Jiang, Zheng;  Sun, Dan;  Wang, Jian-Lin;  He, Qi-Hua;  Li, Xin-Hu;  Wang, Fei;  Wei, Wen-Xue;  Deng, Zheng-Miao;  Hao, Xiang-Xiang;  Liu, Xiao-Li;  Zhang, Xi-Feng;  Zhu, Zhi-Lin
Adobe PDF(6399Kb)  |  Favorite  |  View/Download:12/6  |  Submit date:2023/12/06
Carbon cycles  Eddy covariance  Terrestrial ecosystems  Machine learning  Ecosystem responses  
Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 857, 期号: x, 页码: -
Authors:  Zhu, Xian-Jin;  Yu, Gui-Rui;  Chen, Zhi;  Zhang, Wei-Kang;  Han, Lang;  Wang, Qiu-Feng;  Chen, Shi-Ping;  Liu, Shao-Min;  Yan, Jun-Hua;  Zhang, Fa -Wei;  Zhao, Feng-Hua;  Li, Ying-Nian;  Zhang, Yi-Ping;  Shi, Pei -Li;  Zhu, Jiao-Jun;  Wu, Jia-Bing;  Zhao, Zhong-Hui;  Hao, Yan-Bin;  Sha, Li-Qing;  Zhang, Yu-Cui;  Jiang, Shi-Cheng;  Gu, Feng-Xue;  Wu, Zhi-Xiang;  Wang, Hui-Min;  Tan, Jun-Lei;  Zhang, Yang-Jian;  Zhou, Li;  Tang, Ya-Kun;  Jia, Bing-Rui;  Li, Yu-Qiang;  Song, Qing-Hai;  Dong, Gang;  Gao, Yan-Hong;  Jiang, Zheng-De;  Sun, Dan;  Wang, Jian-Lin;  He, Qi-Hua;  Li, Xin-Hu;  Wang, Fei;  Wei, Wen-Xue;  Deng, Zheng-Miao;  Hao, Xiang-Xiang;  Li, Yan;  Liu, Xiao-Li;  Zhang, Xi-Feng;  Zhu, Zhi-Lin
Adobe PDF(7504Kb)  |  Favorite  |  View/Download:13/5  |  Submit date:2023/04/25
Carbon cycle  Climate change  Eddy covariance  Terrestrial ecosystem  Machine learning  Scale extension  
Spatiotemporal Pattern of Ecosystem Respiration in China Estimated by Integration of Machine Learning With Ecological Understanding 期刊论文
GLOBAL BIOGEOCHEMICAL CYCLES, 2022, 卷号: 36, 期号: 11, 页码: -
Authors:  Han, Lang;  Yu, Gui-Rui;  Chen, Zhi;  Zhu, Xian-Jin;  Zhang, Wei-Kang;  Wang, Tie-Jun;  Xu, Li;  Chen, Shi-Ping;  Liu, Shao-Min;  Wang, Hui-Min;  Yan, Jun-Hua;  Tan, Jun-Lei;  Zhang, Fa-Wei;  Zhao, Feng-Hua;  Li, Ying-Nian;  Zhang, Yi-Ping;  Sha, Li-Qing;  Song, Qing-Hai;  Shi, Pei-Li;  Zhu, Jiao-Jun;  Wu, Jia-Bing;  Zhao, Zhong-Hui;  Hao, Yan-Bin;  Ji, Xi-Bin;  Zhao, Liang;  Zhang, Yu-Cui;  Jiang, Shi-Cheng;  Gu, Feng-Xue;  Wu, Zhi-Xiang;  Zhang, Yang-Jian;  Li, Zhou;  Tang, Ya-Kun;  Jia, Bing-Rui;  Dong, Gang;  Gao, Yan-Hong;  Jiang, Zheng-De;  Sun, Dan;  Wang, Jian-Lin;  He, Qi-Hua;  Li, Xin-Hu;  Wang, Fei;  Wei, Wen-Xue;  Deng, Zheng-Miao;  Hao, Xiang-Xiang;  Liu, Xiao-Li;  Zhang, Xi-Feng;  Mo, Xing-Guo;  He, Yong-Tao;  Liu, Xin-Wei;  Du, Hu;  Zhu, Zhi-Lin
Adobe PDF(4372Kb)  |  Favorite  |  View/Download:13/6  |  Submit date:2023/03/01
ecosystem respiration  eddy covariance  terrestrial ecosystem  machine learning  substrate  scale extension