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浏览/检索结果: 共4条，第1-4条 帮助 限定条件 发表日期：2016    学科主题：地理学::自然地理学     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序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 Evaporation variability of Nam Co Lake in the Tibetan Plateau and its role in recent rapid lake expansion 期刊论文 JOURNAL OF HYDROLOGY, 2016, 卷号: 537, 期号: 0, 页码: 27-35 作者:  Niu, GY (Niu, Guo-Yue);  Zhang, YS;  Ma, N;  Wu, YH (Wu, Yanhong);  Wang, BB (Wang, Binbin) 收藏  |  浏览/下载：21/0  |  提交时间：2017/09/29 Small Mountain Lake  Climate-change  Balance Observations  Northeastern Usa  Water Storage  United-states  Level Changes  Shallow Lake  Limited Data  Basin   Biogeochemical evidence for freshwater periods during the Last Glacial Maximum recorded in lake sediments from Nam Co, south-central Tibetan Plateau 期刊论文 JOURNAL OF PALEOLIMNOLOGY, 2016, 卷号: 55, 期号: 1, 页码: 67-82 作者:  Gunther, F (Guenther, Franziska);  Gleixner, G;  Gleixner, G (Gleixner, Gerd);  Yao, TD (Yao, Tandong);  Mausbacher, R (Maeusbacher, Roland) 收藏  |  浏览/下载：19/0  |  提交时间：2017/12/07 Delta-d Values  Guliya Ice Core  N-alkanes  Isotope Ratios  Hydrological Changes  Holocene Vegetation  Climatic Changes  Carbon-number  Indian-ocean  Lacustrine   An eolian deposit-buried soil sequence in an alpine soil on the northern Tibetan Plateau: Implications for climate change and carbon sequestration 期刊论文 GEODERMA, 2016, 卷号: 266, 期号: 0, 页码: 14-24 作者:  Chen, F (Chen, Feng);  Feng, JL (Feng, Jin-Liang);  Hu, HP (Hu, Hai-Ping);  Feng, JL 收藏  |  浏览/下载：18/0  |  提交时间：2017/10/09 Siberian Loess Record  Organic-carbon  Late Quaternary  Paleosol Sequence  Uinta Mountains  Holocene Loess  Eastern Nepal  Alaskan Loess  China  Storage   Cover as a simple predictor of biomass for two shrubs in Tibet 期刊论文 ECOLOGICAL INDICATORS, 2016, 卷号: 64, 期号: 0, 页码: 266-271 作者:  Zhang, L;  Zhang, L (Zhang, Lin);  Cui, GS (Cui, Guangshuai);  Shen, W (Shen, Wei);  Liu, XS (Liu, Xinsheng) 收藏  |  浏览/下载：18/0  |  提交时间：2017/09/30 Net Primary Production  Alpine Dwarf Shrubs  Aboveground Biomass  Canopy Coverage  Vegetation  Equations  Environments  Productivity  Australia  Gradient