Spatio-temporal Variation Characteristics and Its Driving Factors of NDVI at County Scale for an Inland Arid Grassland During 2001—2020

Hu Zhiqiang; Song Xiaoyu; Qin Lin; Liu Hui; Wen Wang

doi:10.13961/j.cnki.stbctb.2022.05.027

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Spatio-temporal Variation Characteristics and Its Driving Factors of NDVI at County Scale for an Inland Arid Grassland During 2001—2020

- Spatio-temporal Variation Characteristics and Its Driving Factors of NDVI at County Scale for an Inland Arid Grassland During 2001—2020
- Bulletin of Soiland Water Conservation Vol. 42, Issue 5, Pages: 213-221(2022)
- 作者机构：
  
  西安理工大学省部共建西北旱区生态水利国家重点实验室,陕西,西安,710048
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2022.05.027
  CLC： Q948.112
- Published：2022
- 稿件说明：
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Hu Zhiqiang, Song Xiaoyu, Qin Lin, et al. Spatio-temporal Variation Characteristics and Its Driving Factors of NDVI at County Scale for an Inland Arid Grassland During 2001—2020[J]. Bulletin of Soiland Water Conservation, 2022, 42(5): 213-221.
DOI：

Hu Zhiqiang, Song Xiaoyu, Qin Lin, et al. Spatio-temporal Variation Characteristics and Its Driving Factors of NDVI at County Scale for an Inland Arid Grassland During 2001—2020[J]. Bulletin of Soiland Water Conservation, 2022, 42(5): 213-221. DOI： 10.13961/j.cnki.stbctb.2022.05.027.

摘要

[目的] 探讨中国内陆干旱草原在县域尺度上时序地表生态空间变化及气候驱动特征，为制定合理的生态措施提供科学依据。[方法] 以甘肃省肃南县(肃南裕固族自治县)为研究区，收集归一化植被指数(NDVI)和气象数据，采用趋势分析、变差分析、偏相关分析和残差分析等方法，分析了2001—2020年肃南县植被NDVI时空变化特征及驱动因素。[结果] ①研究期内县域植被NDVI呈波动上升趋势，上升速度为0.042/10 a；10种植被的NDVI呈现相似的增长趋势，较以往小尺度区域研究能够作出更精确的反映； ②从空间分布看，植被NDVI自西北向东南逐渐提高，全县36.14%的植被NDVI变化趋势表现为基本稳定，退化区域远大于改善区域； ③肃南县不同类型植被对植被NDVI稳定性的贡献程度为：针叶林＞灌丛＞阔叶林＞草原＞草甸＞高山植被＞栽培植被＞其他＞沼泽＞荒漠； ④植被NDVI受夏季降水量及植物生长季气温影响最大，人类活动对肃南县96.52%的植被NDVI增加具有促进作用。[结论] 近20年来，肃南县植被NDVI整体上升，其变化趋势受气候条件和人类活动的双重影响，未来肃南县过度放牧区域植被NDVI可能仍会下降，但整体依旧呈上升趋势。

Abstract

[Objective] The temporal surface ecological spatial changes and climate-driven characteristics of China’s inland arid grassland at the county scale was determined in order to provide a scientific basis for the formulation of reasonable ecological measures. [Methods] This study was conducted in Sunan County (Yugu Autonomous County of Sunan)

Gansu Province. Normalized difference vegetation index (NDVI) and meteorological data were collected and analyzed to determine the characteristics and driving factors of the temporal and spatial changes of vegetation NDVI in Sunan County from 2001 to 2020 using trend analysis

variation analysis

partial correlation analysis

and residual analysis. [Results] ① During the study period

NDVI for the county showed a fluctuating upward trend

with a rising rate of 0.042/10 yr. In addition

the NDVI of the 10 vegetation types showed a similar growth trend that was reflected more accurately than in previous small-scale regional studies. ② NDVI gradually increased from northwest to southeast. The NDVI variation trend was basically stable in 36.14% of the area of Sunan County

while the degraded area was much larger than the improved area. ③ The contribution degree of the different vegetation types to NDVI stability in Sunan County followed the order of coniferous forest>scrublands>broadleaf forest>steppe>meadow>alpine vegetation>cultivated vegetation>others>swamp>desert. ④ NDVI was most affected by summer precipitation and plant growing season temperature. Human activities had a facilitating effect on 96.52% of the vegetation NDVI in Sunan County. [Conclusion] Overall

the vegetation NDVI of Sunan County has increased over the past 20 years

and its change trend was influenced by both climatic conditions and human activities. In the future

vegetation NDVI in the overgrazed areas of Sunan County may continue to decline

but the overall trend will be increasing.

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references

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