Impact of afforestation policy on vegetation greenness in China

Wentong Xie; Yong Ge; Nicholas Hamm; Giles Foody

doi:10.5281/zenodo.6411556

Impact of afforestation policy on vegetation greenness in China

Wentong Xie, Yong Ge, Nicholas Hamm, Giles Foody

School of Geographical Sciences

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

Understanding the spatiotemporal change of greenness and the main driving factors affecting greenness can provide an effective theoretical basis for ecological environment protection and restoration in China. Based on the data of 2853 counties and the Leaf Area Index (LAI) from 2000 to 2020, we used the Bayesian spatio-temporal model to quantify the spatial-temporal change of greenness and a fixed- effects model was used to investigate the effects of the environmental protection policy in China. The results show that greenness has increased because of afforestation policy but impacted by population and climate change.

Original language	English
Title of host publication	30th Annual Geographical Information Science Research UK (GISRUK)
Place of Publication	Liverpool, UK
Publisher	Zenodo
Pages	1-4
Number of pages	1
DOIs	https://doi.org/10.5281/zenodo.6411556
Publication status	Published - 3 Apr 2022

Keywords

Greenness
Influencing factors
Policy

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.5281/zenodo.6411556

Cite this

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title = "Impact of afforestation policy on vegetation greenness in China",

abstract = "Understanding the spatiotemporal change of greenness and the main driving factors affecting greenness can provide an effective theoretical basis for ecological environment protection and restoration in China. Based on the data of 2853 counties and the Leaf Area Index (LAI) from 2000 to 2020, we used the Bayesian spatio-temporal model to quantify the spatial-temporal change of greenness and a fixed- effects model was used to investigate the effects of the environmental protection policy in China. The results show that greenness has increased because of afforestation policy but impacted by population and climate change.",

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T1 - Impact of afforestation policy on vegetation greenness in China

AU - Xie, Wentong

AU - Ge, Yong

AU - Hamm, Nicholas

AU - Foody, Giles

PY - 2022/4/3

Y1 - 2022/4/3

N2 - Understanding the spatiotemporal change of greenness and the main driving factors affecting greenness can provide an effective theoretical basis for ecological environment protection and restoration in China. Based on the data of 2853 counties and the Leaf Area Index (LAI) from 2000 to 2020, we used the Bayesian spatio-temporal model to quantify the spatial-temporal change of greenness and a fixed- effects model was used to investigate the effects of the environmental protection policy in China. The results show that greenness has increased because of afforestation policy but impacted by population and climate change.

AB - Understanding the spatiotemporal change of greenness and the main driving factors affecting greenness can provide an effective theoretical basis for ecological environment protection and restoration in China. Based on the data of 2853 counties and the Leaf Area Index (LAI) from 2000 to 2020, we used the Bayesian spatio-temporal model to quantify the spatial-temporal change of greenness and a fixed- effects model was used to investigate the effects of the environmental protection policy in China. The results show that greenness has increased because of afforestation policy but impacted by population and climate change.

KW - Greenness

KW - Influencing factors

KW - Policy

UR - https://doi.org/10.5281/zenodo.6411556

U2 - 10.5281/zenodo.6411556

DO - 10.5281/zenodo.6411556

M3 - Conference contribution

SP - 1

EP - 4

BT - 30th Annual Geographical Information Science Research UK (GISRUK)

PB - Zenodo

CY - Liverpool, UK

ER -

Impact of afforestation policy on vegetation greenness in China

Abstract

Keywords

UN SDGs

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