论文--中国科学院地理科学与资源研究所

论文

论文题目：	Exploring the formulation of ecological management policies by quantifying interregional primary ecosystem service flows in Yangtze River Delta region, China
第一作者：	Wang Chengdong, Li Wenqing, Sun Mingxing, Wang Yutao, Wang Shoubing
联系作者：
发表年度：	2021
摘　　要：
英文摘要：	Terrestrial palaeo-temperature data are of great value in improving our understanding of past climate and they provide a basis for evaluating climate simulations. Such data are, however, poorly constrained for long time scales. In addition to the scarcity of high-quality continuous time-series, finding proxies with a clear response to past temperature changes and developing appropriate reconstruction methods are major challenges. We present a new and robust method ? Locally-weighted Weighted-average partial least squares (LW-WAPLS) to reconstruct quantitative temperature changes based on a high-resolution 1.74-Ma pollen record from the Zoige Basin on the eastern Tibetan Plateau, where the vegetation today is mainly controlled by temperature. The reconstructed mean annual (MAT) and warmest month (MTWM) temperatures reveal a general cooling trend with two major shifts at-1.54 and 0.62 Ma BP, and regular glacial-interglacial variability ranging from4 to 2 ?C and from 8 to 16 ?C, respectively. They indicate-4?5 ?C (MAT) and 5?6 ?C (MTWM) magnitudes of glacial-interglacial temperatures. Both statistical and ecological evaluations validate the reliability of the reconstructions. The reconstructions provide important insights into the spatial aspects of long-term terrestrial temperature change. LW-WAPLS shows advantages over both the traditional modern analogue technique and non-linear transfer-function methodologies such as WAPLS for reconstructing the broad-scale climate changes for the Zoige Basin, by combining the strength of both methods. The LW-WAPLS approach potentially provides a robust tool to develop pollen-based climate reconstructions over long time-scales. Superscript/Subscript Available
刊物名称：	GLOBAL AND PLANETARY CHANGE
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论文类别：	SCI