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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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A cropland cover dataset for the middle and lower reaches of the Yellow River over the past millennium

Authors: Yang, Fan; Zhang, Hang; He, Fanneng; Wang, Yafei; Zhou, Shengnan; Dong, Guanpeng;

A cropland cover dataset for the middle and lower reaches of the Yellow River over the past millennium

Abstract

This dataset has been supported by the National Natural Science Foundation of China (Grant No. 42201263), the National Key Research and Development Program of China on Global Change (No. 2017YFA0603304), the Major Program of Key Research Base of Humanities and Social Sciences of the Ministry of Education of China (Study on the Evolution of Ecosystem Pattern, Problem Diagnosis, and Governance Model of the Yellow River Basin; Study on Evolution of Man-land Relationship and Its Ecoenvironmental Effects in Floodplain of the Lower Yellow River), the 2021 Henan key R & D and promotion project (Soft Science) (212400410256).

We developed a new gridding allocation model for croplands with unequal weight factors and reconstructed 58 time-point cropland cover maps at a 10-km resolution for the past millennium in the middle and lower reaches of the Yellow River in China. The cropland dataset can be used to model past climate change, estimate carbon emissions, assess human-activity-induced ecological effects, and improve global historical land use scenarios.

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Keywords

gridding reconstruction, land use and land cover change, past millennium, the middle and lower reaches of the Yellow River, cropland cover

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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