机构

• 地理科学与资源研究所 [5]
• 上海药物研究所 [1]

采集方式

• OAI收割 [6]

内容类型

• 期刊论文 [6]

发表日期

• 2024 [3]
• 2023 [1]
• 2022 [2]

学科主题

筛选

浏览/检索结果: 共6条，第1-6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 Shifts in Plant Phenology and Its Responses to Climate Warming in Three Temperate Cities of China during 1963-2020 期刊论文  OAI收割 FORESTS, 2024, 卷号: 15, 期号: 10, 页码: 1712 作者:  Cao, Lijuan;  Lin, Shaozhi;  Liu, Wei;  Gao, Chengxi;  Bai, Wenrui   |  收藏  |  浏览/下载：1/0  |  提交时间：2024/12/20 phenology  global warming  first flowering date  first leaf date  leaf coloring date   Interpreting the influences of multiple factors on forcing requirements of leaf unfolding date by explainable machine learning algorithms 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2024, 卷号: 166, 页码: 112402 作者:  Gao, Chengxi;  Wang, Huanjiong   |  收藏  |  浏览/下载：7/0  |  提交时间：2024/09/19 Leaf unfolding date  Spring phenology  Machine learning  Phenological model  Chilling  Climate change   Xuanbai Chengqi Decoction alleviates acute lung injury by inhibiting NLRP3 inflammasome 期刊论文  OAI收割 JOURNAL OF ETHNOPHARMACOLOGY, 2024, 卷号: 319, 页码: 13 作者:  Wang, Shun;  Lin, Feifei;  Zhang, Chengxi;  Gao, Dan;  Qi, Zhuocao   |  收藏  |  浏览/下载：21/0  |  提交时间：2023/12/08 Xuanbai Chengqi Decoction  Acute lung injury  NLRP3 inflammasome  Pyroptosis   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：23/0  |  提交时间：2023/09/07 Leaf senescence date  Autumn phenology  Process-based model  Machine learning  Climate change   Low temperature and short daylength interact to affect the leaf senescence of two temperate tree species 期刊论文  OAI收割 TREE PHYSIOLOGY, 2022, 页码: 14 作者:  Wang, Huanjiong;  Gao, Chengxi;  Ge, Quansheng;  Makela, Annikki   |  收藏  |  浏览/下载：28/0  |  提交时间：2022/09/21 autumn phenology  controlled experiment  leaf senescence  phenological model  photoperiod  temperature   Low temperature and short daylength interact to affect the leaf senescence of two temperate tree species 期刊论文  OAI收割 TREE PHYSIOLOGY, 2022, 页码: 14 作者:  Wang, Huanjiong;  Gao, Chengxi;  Ge, Quansheng;  Makela, Annikki   |  收藏  |  浏览/下载：21/0  |  提交时间：2022/09/21 autumn phenology  controlled experiment  leaf senescence  phenological model  photoperiod  temperature