中国科学院重庆绿色智能技术研究院机构知识库

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发表日期：2021

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	Effects of long-term and large-scale ecology projects on forest dynamics in Yangtze River Basin, China 期刊论文 FOREST ECOLOGY AND MANAGEMENT, 2021, 卷号: 496, 页码: 11 作者:  Chen, Shanshan;  Wen, Zhaofei;  Zhang, Songlin;  Huang, Ping;  Ma, Maohua;  Zhou, Xu;  Liao, Tao;  Wu, Shengjun 收藏  |  浏览/下载：236/0  |  提交时间：2021/08/20 Ecology projects  Cascading effect of ecology projects  Forest growth dynamics  Forest fragmentation  Residual analysis  Yangtze River Basin  China
	Disentangling Climatic Factors and Human Activities in Governing the Old and New Forest Productivity 期刊论文 REMOTE SENSING, 2021, 卷号: 13, 期号: 18, 页码: 15 作者:  Chen, Shanshan;  Wen, Zhaofei;  Ma, Maohua;  Wu, Shengjun 收藏  |  浏览/下载：140/0  |  提交时间：2021/11/26 residual  the old forest productivity  human activities  climate change  net primary productivity
	Spatiotemporal Characteristics of the Water Quality and Its Multiscale Relationship with Land Use in the Yangtze River Basin 期刊论文 REMOTE SENSING, 2021, 卷号: 13, 期号: 16, 页码: 27 作者:  Wu, Jian;  Zeng, Sidong;  Yang, Linhan;  Ren, Yuanxin;  Xia, Jun 收藏  |  浏览/下载：83/0  |  提交时间：2021/11/26 water quality  land use  multiscale relationship  Yangtze River basin
	Effects of length and application rate of rice straw mulch on surface runoff and soil loss under laboratory simulated rainfall 期刊论文 INTERNATIONAL JOURNAL OF SEDIMENT RESEARCH, 2021, 卷号: 36, 期号: 4, 页码: 468-478 作者:  Parhizkar, Misagh;  Shabanpour, Mahmood;  Esteban Lucas-Borja, Manuel;  Zema, Demetrio Antonio;  Li, Siyue;  Tanaka, Nobuaki;  Cerda, Artemio 收藏  |  浏览/下载：261/0  |  提交时间：2021/05/17 Straw mulch  Soil erosion  Mulch application rate  Mulch length  Rainfall simulator
	A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 7, 页码: 4285-4296 作者:  Wu, Di;  Luo, Xin;  Shang, Mingsheng;  He, Yi;  Wang, Guoyin;  Zhou, MengChu 收藏  |  浏览/下载：204/0  |  提交时间：2021/08/20 Big data  deep model  high-dimensional and sparse (HiDS) matrix  latent factor (LF) analysis  recommender system (RS)