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浏览/检索结果: 共402条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 Predicting earthworm biogeography and climate-driven shifts on China's Loess Plateau 期刊论文  OAI收割 CATENA, 2026, 卷号: 265, 页码: 109904 作者:  Li, Zhiyong;  Guo, Baojiang;  Li, Tongchuan;  Shao, Ming'an   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/03/16 Earthworm  Geographic distribution  Climate change  Random forest  The loess plateau   Enhanced warming due to afforestation and deforestation driven by both radiative and non-radiative effects in the mid-latitude Greater and Lesser Khingan mountains ecoregion of China 期刊论文  OAI收割 FOREST ECOSYSTEMS, 2026, 卷号: 15, 页码: 100407 作者:  Shen, Wenjuan;  Wang, Tongyu;  Zuo, Zhuang;  He, Jiaying;  He, Tao   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/02/09 Forest cover change  Weather Research and Forecasting (WRF)  climate model  Local temperature  Biophysical process  Temperate forests   Localized Browning in Thermokarst-Dominated Landscapes Reverses Regional Greening Trends Under a Warming Climate in Northeastern Siberia 期刊论文  OAI收割 REMOTE SENSING, 2026, 卷号: 18, 期号: 2, 页码: 308 作者:  Wang, Ruixin;  Wang, Ping;  Xu, Li;  Liu, Shiqi;  Huang, Qiwei   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/03/16 Arctic  vegetation dynamics  climate change  permafrost degradation  NDVI  thermokarst lakes  random forest  northeastern Siberia   Spatiotemporal Dynamics and Drivers of Potential Winter Ice Resources in China (1990-2020) Using Multi-Source Remote Sensing and Machine Learning 期刊论文  OAI收割 REMOTE SENSING, 2026, 卷号: 18, 期号: 2, 页码: 250 作者:  Shi, Donghui   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/03/16 river and lake ice  potential winter ice area  spatiotemporal pattern  freezing-zone boundary shift  random forest  climate change   Large-scale ecological engineering increases forest canopy height in Loess Plateau from 1985 to 2020 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2025, 卷号: 18, 期号: 1, 页码: 2528657 作者:  Liu, Mengxue;  Ma, Lin;  Zheng, Zhoutao   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/08/21 Forest canopy height  ICESat-2  Landsat  change trend  growth potential  Loess Plateau   Simulating and predicting lake dynamics by fusing HBV modeling, machine learning approach and remote sensing data 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2025, 卷号: 663, 页码: 134303 作者:  Naeem, Muhammad;  Zhang, Yongqiang;  Ma, Ning;  Tang, Zixuan;  Miao, Ping   |  收藏  |  浏览/下载：2/0  |  提交时间：2025/11/17 Hydrological dynamics  HBV model  Machine learning  Random Forest  CA-Markov model  Climate change  Lake area prediction  Water resource management   Tree-Ring Proxies for Forest Productivity Reconstruction: Advances and Future Directions 期刊论文  OAI收割 FORESTS, 2025, 卷号: 16, 期号: 12, 页码: 1803 作者:  Yu, Ruifeng;  Li, Mingqi   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/01/21 tree rings  forest productivity  productivity reconstruction  carbon cycle  climate change  long-term reconstruction  dendrochronology   Modeling the Potential Invasion Risk of Ageratina adenophora in China From an Ecological Suitability Perspective 期刊论文  OAI收割 ECOLOGY AND EVOLUTION, 2025, 卷号: 15, 期号: 10, 页码: e72392 作者:  Xie, Xiaolan;  Ma, Tian;  Chen, Yu;  Zhuo, Jun;  Chen, Shuai   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/11/17 Ageratina Adenophora  climate change  future prediction  human activity  invasion risk  random forest   Utilizing the synergistic biophysical and biogeochemical processes to estimate the impacts of forest landscape characteristics on land surface temperature and carbon stock in southern China 期刊论文  OAI收割 JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2025, 卷号: 393, 页码: 127071 作者:  Shen, Wenjuan;  Liu, Ziyan;  Zuo, Zhuang;  He, Jiaying;  He, Tao   |  收藏  |  浏览/下载：2/0  |  提交时间：2025/10/20 Forest landscape  Climate change  Carbon storage  Biophysical process  Biogeochemical process  Synergistic effects   Rising atmospheric CH4 concentration may have significantly influenced the increase in CH4 uptake by forest soils in China (2010-2020) 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2025, 卷号: 178, 页码: 113929 作者:  Yang, Meng   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/09/22 Forest soil  Methane uptake  Global change  Atmospheric CH 4 concentration  Flux-climate feedback