Treeline shift rates dataset in the Northern Hemisphere-时空三极环境大数据平台

This is a dataset of treeline shift rates including 143 alpine treeline sites in the Northern Hemisphere. It gives the following information for each treeline site: treeline form, study site, latitude, longitude, reference, tree species, elevation, study period and annual mean elevational shift rate (m/yr).

数据使用方法

Treeline shift rates dataset in the Northern Hemisphere. xlsx

本数据要求的引用方式

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文章的引用

1. Lu, X., Liang, E., Wang, Y., Babst, F., Camarero, J.J. (2021). Mountain treelines climb slowly despite rapid climate warming. Global Ecol. Biogeogr., 30:305–315. https://doi.org/10.1111/geb.13214(查看)

数据的引用

LU Xiaoming, Eryuan Liang. (2020). Treeline shift rates dataset in the Northern Hemisphere. 国家青藏高原科学数据中心, 2020. doi: 10.11888/Paleoenv.tpdc.270971.
[Lu, X., Liang, E. (2020). . National Tibetan Plateau Data Center, 2020]

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使用条款

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)

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1. 2022-03-23 中科院寒旱所徐国保用途：climate change and phenology

2. 2022-03-08 青藏高原研究所郑翔宇用途：郑翔宇，导师：梁尔源研究员；硕士学位论文：《高山树线模型研究》

3. 2021-06-19 University of Bayreuth Mirela Beloiu 用途：My name is Mirela Beloiu and I would like to use the map published by you in my doctoral dissertation as general information about the treeline advance/stable/receding. Therefore, I need the data to make it according to my needs. I will cite your work in my dissertation. Thank you for sharing the data and for this amazing work! Best regards, Mirela

4. 2021-06-02 yokohama national university ryo kizawa 用途：I'm a graduate student in japan. To cite this data in a study of treelines in japan's treelines. I would appreciate it.

5. 2021-06-01 yokohama national university ryo kizawa 用途：For　research

6. 2021-05-24 yokohama national university ryo kizawa 用途：To be used as a reference for research

7. 2021-05-24 yokohama national university ryo kizawa 用途：To be used as a reference for research

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9. 2021-04-21 西藏农牧学院周尧治用途：国家重点研发计划 | 2017YFC0506801

10. 2021-04-19 West University Timisoara, Romania Patrick Chiroiu 用途：Project ClimaLAND - a collaborative research project that aims to enrich the global picture of geomorphic responses to recent climate changes, zooming in two contrasting, but equally sensitive environments: the Romanian Carpathians and the Danube Delta.

11. 2021-03-31 lzjt university 薛守业用途：数据集中的树种分布信息用以北极植被分类

12. 2021-03-28 lzjt university xueshouye 用途：this dataset will be used for vegetation classification in arctic

13. 2021-03-13 None 10.42.0.1 用途：10.42.0.1

14. 2021-03-12 兰州数云软件科技有限公司李建轩用途：GIS制图

15. 2021-01-27 The State University of New York at Buffalo Chenyang Wei 用途：For a project on global alpine treeline ecotones supported by NASA Headquarters under the NASA Earth and Space Science Fellowship Program - Grant 80NSSC18K1401.

16. 2021-01-27 The State University of New York at Buffalo Chenyang Wei 用途：For a project on alpine treeline ecotones supported by NASA Headquarters under the NASA Earth and Space Science Fellowship Program - Grant 80NSSC18K1401.

17. 2021-01-27 The State University of New York at Buffalo Chenyang Wei 用途：For writing a Ph.D. dissertation.

18. 2020-12-27 Qinghai University Ji-Zhong Wan 用途：Academic

19. 2020-12-26 IGSNRR,CAS Lili Zheng 用途：For doctoral dissertation——Alpine treeline dynamics and response sensitivity to climate change across the Himalayas (Tutor: Pro.Peili Shi). I want to use these data for a backgroud description, and will cite them properly. Thank you!

20. 2020-12-25 中科院地理所周天财用途：老师，您好，我是用于博士毕业论文的验证，不会用此数据发表文章，谢谢您！

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