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浏览/检索结果: 共81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发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 The Fate of Deep Permafrost Carbon in Northern High Latitudes in the 21st Century: A Process-Based Modeling Analysis 期刊论文  OAI收割 EARTHS FUTURE, 2024, 卷号: 12, 期号: 11, 页码: e2024EF004996 作者:  Liu, L.;  Zhuang, Q.;  Zhao, D.;  Wei, J.;  Zheng, D.   |  收藏  |  浏览/下载：11/0  |  提交时间：2025/01/17 permafrost degradation  ecosystem C budget  climate change  process-based modeling  deep soils   WSMsFNet: Joint the Whole Supervision and Multiscale Fusion Network for Remote Sensing Image Change Detection 期刊论文  OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 14656-14669 作者:  Wang, Bin;  Jiang, Xiaohu;  Qin, Pinle;  Zeng, Jianchao   |  收藏  |  浏览/下载：19/0  |  提交时间：2024/10/21 Feature extraction  Transformers  Data mining  Correlation  Semantics  Context modeling  Accuracy  Change detection  convolutional neural network (CNN)  multiscale feature (MSF) fusion  the whole process supervision  transformer   Climate change impacts on crop yields: A review of empirical findings, statistical crop models, and machine learning methods 期刊论文  OAI收割 ENVIRONMENTAL MODELLING & SOFTWARE, 2024, 卷号: 179, 页码: 16 作者:  Hu, Tongxi;  Zhang, Xuesong;  Khanal, Sami;  Wilson, Robyn;  Leng, Guoyong   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/10/08 Climate change  Statistical crop models  Process-based models  Food security  Machine learning  Digital Twin  Agriculture 5.0  Global Warming   Local temperature responses to actual land cover changes present significant latitudinal variability and asymmetry 期刊论文  OAI收割 SCIENCE BULLETIN, 2023, 卷号: 68, 期号: 22, 页码: 2849-2861 作者:  Liu, Xiangyang;  Li, Zhao-Liang;  Li, Yitao;  Wu, Hua;  Zhou, Chenghu   |  收藏  |  浏览/下载：19/0  |  提交时间：2024/01/26 Land cover change  Land surface temperature  Biophysical process  Observation-based   Interpretable machine learning algorithms to predict leaf senescence date of deciduous trees 期刊论文  OAI收割 AGRICULTURAL AND FOREST METEOROLOGY, 2023, 卷号: 340, 页码: 109623 作者:  Gao, Chengxi;  Wang, Huanjiong;  Ge, Quansheng   |  收藏  |  浏览/下载：27/0  |  提交时间：2023/09/07 Leaf senescence date  Autumn phenology  Process-based model  Machine learning  Climate change   Projecting future aboveground carbon sequestration rate of alpine forest on the eastern Tibetan Plateau in response to climate change 期刊论文  OAI收割 FRONTIERS IN PLANT SCIENCE, 2023, 卷号: 14, 页码: 13 作者:  Lin, Yang;  Cong, Nan;  Xiao, Jiangtao;  Kou, Yongping;  Li, Yuanyuan   |  收藏  |  浏览/下载：20/0  |  提交时间：2023/10/09 aboveground carbon sequestration rate  climate change  ecological process model  species and community  Tibetan Plateau  carbon stock   Enhancing global thinking can reduce the misconception of accumulation: A potential way to mitigate climate change 期刊论文  OAI收割 Environmental Science and Pollution Research, 2023, 卷号: 30, 期号: 20, 页码: 58618-58629 作者:  Han Qiao;  Jingyu Zhang   |  收藏  |  浏览/下载：7/0  |  提交时间：2023/05/30 Climate change mitigation   Climate dynamics  Stock-fow  Global thinking   Display  Thinking process   Observational constraint of process crop models suggests higher risks for global maize yield under climate change 期刊论文  OAI收割 ENVIRONMENTAL RESEARCH LETTERS, 2022, 卷号: 17, 期号: 7, 页码: 14 作者:  Yin, Xiaomeng;  Leng, Guoyong   |  收藏  |  浏览/下载：21/0  |  提交时间：2022/09/21 emergent constraint  machine learning  yield change  yield variability  process crop model  global   Observational constraint of process crop models suggests higher risks for global maize yield under climate change 期刊论文  OAI收割 ENVIRONMENTAL RESEARCH LETTERS, 2022, 卷号: 17, 期号: 7, 页码: 14 作者:  Yin, Xiaomeng;  Leng, Guoyong   |  收藏  |  浏览/下载：18/0  |  提交时间：2022/09/21 emergent constraint  machine learning  yield change  yield variability  process crop model  global   Global patterns of particulate organic carbon export from land to the ocean 期刊论文  OAI收割 ECOHYDROLOGY, 2021, 页码: 12 作者:  Li, Mingxu;  Peng, Changhui;  He, Nianpeng   |  收藏  |  浏览/下载：29/0  |  提交时间：2022/09/21 climate change  dam trapping  global rivers  particulate organic carbon  process-based model