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浏览/检索结果: 共1791条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Does unstable off-farm employment cause stagnant farmland rent-out in rural China? 期刊论文  OAI收割 CHINA AGRICULTURAL ECONOMIC REVIEW, 2024, 卷号: N/A, 页码: 23 作者:  Cao, Yueming;  Zhou, Dongjie;  Bai, Yunli   |  收藏  |  浏览/下载：0/0  |  提交时间：2024/05/27 Unstable off-farm employment  Farmland rent-out  House purchases in city  Endowment insurance  Rural China  J21  Q15  Q13   Response of evapotranspiration to the 2022 unprecedented extreme drought in the Yangtze River Basin 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2024, 卷号: N/A, 页码: 13 作者:  Zhang, Yu;  Liu, Xiaomang;  Wang, Kaiwen;  Bai, Peng   |  收藏  |  浏览/下载：0/0  |  提交时间：2024/05/27 drought  evapotranspiration  extreme event in 2022  water balance  Yangtze River Basin   Does the frequency of eating snacks increase food waste? A study based on senior high school in China 期刊论文  OAI收割 FRONTIERS IN SUSTAINABLE FOOD SYSTEMS, 2024, 卷号: 8, 页码: 1336220 作者:     |  收藏  |  浏览/下载：12/0  |  提交时间：2024/05/21 food waste  senior high school  snack  frequency  student   Optimization of coupling crop and livestock production system's eco-efficiency in northern China based on a life cycle assessment and data envelopment analysis method 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 921, 页码: 170852 作者:  Li, Jing;  Zheng, Zhican;  Xu, Yan;  Hang, Sheng;  Gong, Huarui   |  收藏  |  浏览/下载：1/0  |  提交时间：2024/05/21 Coupling crop and livestock production  Life cycle assessment  Super-SBM model  Tobit model  Optimization of eco-efficiency  Development of sustainable agriculture   Optimization of coupling crop and livestock production system's eco-efficiency in northern China based on a life cycle assessment and data envelopment analysis method 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 921, 页码: 10 作者:     |  收藏  |  浏览/下载：15/0  |  提交时间：2024/05/20 Coupling crop and livestock production  Life cycle assessment  Super-SBM model  Tobit model  Optimization of eco-efficiency  Development of sustainable agriculture   Soil moisture decline in China's monsoon loess critical zone: More a result of land- use conversion than climate change 期刊论文  OAI收割 PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2024, 卷号: 121, 期号: 15, 页码: 8 作者:  Wang, Yunqiang;  Hu, Wei;  Sun, Hui;  Zhao, Yali;  Zhang, Pingping   |  收藏  |  浏览/下载：0/0  |  提交时间：2024/05/27 water  afforestation  deep soil  the Loess Plateau  monsoon climate   Both yields of maize and soybean and soil carbon sequestration in typical Mollisols cropland decrease under future climate change: SPACSYS simulation 期刊论文  OAI收割 FRONTIERS IN SUSTAINABLE FOOD SYSTEMS, 2024, 卷号: 8, 页码: 13 作者:  Liang, Shuo;  Sun, Nan;  Longdoz, Bernard;  Meersmans, Jeroen;  Ma, Xingzhu   |  收藏  |  浏览/下载：12/0  |  提交时间：2024/05/20 yield  SOC stock  carbon sequestration efficiency  Mollisols  SPACSYS model  long-term fertilization  climate change   A comprehensive assessment indicator of the water-energy-food nexus system based on the material consumption relationship 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2024, 卷号: 633, 页码: 15 作者:  Hao, Lingang;  Yu, Jingjie;  Wang, Ping;  Han, Chunhui;  Gojenko, Boris   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/05/20 Systems science  Material flow  Water-energy-food nexus  Comprehensive indicators  The Amu Darya River basin   How internet access impacts rural households' income in China: evidence from the China family panel survey 期刊论文  OAI收割 APPLIED ECONOMICS, 2024, 卷号: N/A 作者:  Liu, Wenhan;  Xiao, Wei;  Li, Yuheng;  Westlund, Hans   |  收藏  |  浏览/下载：21/0  |  提交时间：2024/04/08 Internet access  income  rural households  China  O15  O18  R20   Integrating data assimilation, crop model, and machine learning for winter wheat yield forecasting in the North China Plain 期刊论文  OAI收割 AGRICULTURAL AND FOREST METEOROLOGY, 2024, 卷号: 347, 页码: 14 作者:  Zhuang, Huimin;  Zhang, Zhao;  Cheng, Fei;  Han, Jichong;  Luo, Yuchuan   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/04/30 Crop modelling  Data assimilation  Early warning system  Extreme climate  Machine learning