2000—2020年延安市植被覆盖时空变化及其影响因素

周璐红; 张康

doi:10.13961/j.cnki.stbctb.2023.04.041

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2000—2020年延安市植被覆盖时空变化及其影响因素

试验研究

- 2000—2020年延安市植被覆盖时空变化及其影响因素
- Spatio-temporal Variation of Vegetation Cover and Its Influencing Factors in Yan’an City from 2000 to 2020
- 水土保持通报 2023年43卷第4期页码：356-365
- 作者机构：
  
  1. 长安大学土地工程学院,陕西,西安,710054
  2. 陕西省土地整治重点实验室,陕西,西安,710054
- 作者简介：
- 基金信息：
  
  陕西省土地整治重点实验室开放基金项目“陕北黄土高原土地利用安全评价研究”(2019-JC02);长安大学研究生教育教学改革资助项目(300103120050)
- DOI：10.13961/j.cnki.stbctb.2023.04.041
  中图分类号： Q948.2
- 纸质出版：2023
- 稿件说明：
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周璐红, 张康. 2000—2020年延安市植被覆盖时空变化及其影响因素[J]. 水土保持通报, 2023,43(4):356-365.

Zhou Luhong, Zhang Kang. Spatio-temporal Variation of Vegetation Cover and Its Influencing Factors in Yan’an City from 2000 to 2020[J]. Bulletin of Soiland Water Conservation, 2023, 43(4): 356-365.
周璐红, 张康. 2000—2020年延安市植被覆盖时空变化及其影响因素[J]. 水土保持通报, 2023,43(4):356-365. DOI： 10.13961/j.cnki.stbctb.2023.04.041.

Zhou Luhong, Zhang Kang. Spatio-temporal Variation of Vegetation Cover and Its Influencing Factors in Yan’an City from 2000 to 2020[J]. Bulletin of Soiland Water Conservation, 2023, 43(4): 356-365. DOI： 10.13961/j.cnki.stbctb.2023.04.041.

摘要

[目的] 对陕西省延安市植被覆盖时空变化特征及其与气候变化和人类活动之间的关系进行研究，为该市评估生态环境效益和生态环境建设提供科学支持。[方法] 基于MODIS-NDVI和气象等相关数据，采用线性趋势分析、相关性分析和残差分析对延安市2000—2020年植被覆盖时空变化特征及其影响因素进行研究，并用地理探测器分析不同因子对植被覆盖变化的影响以及各因子之间的交互作用。[结果] ①2000—2020年延安市植被NDVI总体呈上升趋势，增速为10%/10 a，快于同期三北防护林植被覆盖的平均增速。②延安市植被覆盖状况不断优化，呈现改善的面积占99.64%，其中明显改善的面积占97.85%，呈现退化趋势的范围比例极少。③受水热分布的影响，延安市呈现“东高西低，南高北低”的植被分布格局。④延安市植被NDVI与降水的相关性要显著强于气温，与气温的相关系数分布在-0.60~0.70，其中呈正相关的面积占47.52%；与降水的相关系数分布在-0.23~0.91，其中呈正相关的面积占99.62%； ⑤延安市退耕还林还草等生态恢复工程的有效实施对植被状况改善最为显著，降水作用次之，气温和自然地理因素作用较小，多影响因子对延安市植被覆盖变化的交互作用表现为非线性增强或双因子增强。[结论] 延安市是黄土高原腹地中心城市，植被覆盖受气候和人类活动影响较大，未来在生态建设背景下，要立足于不同区域的资源禀赋，人为因素合理参与，因地制宜地采取相应的管控和补偿措施，以期达到植被NDVI持续改善的效果，进一步增强其生态效益。

Abstract

[Objective] The spatial and temporal variation characteristics of vegetation cover in Yan’an City and its relationship with climate change and human activities were studied in order to provide scientific support for the evaluation of eco-environmental benefits and eco-environmental construction in this area. [Methods] Linear trend analysis

correlation analysis

and residual analysis of MODIS-NDVI and meteorological data were used to determine the spatio-temporal characteristics and influencing factors of vegetation cover change in Yan’an City from 2000 to 2020. The effects of different factors on vegetation cover change and the interaction among them were analyzed by geographic detector. [Results] ① During the past 21 years

NDVI in Yan’an City showed an overall upward trend with a growth rate of 10%/10 yr

which was faster than the average growth rate of vegetation coverage in the Three-North Shelterbelt System. ② The vegetation cover in Yan’an City had been optimized

with 99.64% of the area showing improvement

of which 97.85% was significantly improved

and the proportion of the area showing degradation was very small. ③ Influenced by the distribution of water and heat

Yan’an City exhibited a vegetation distribution pattern of “high in the east and low in the west

high in the south and low in the north”. ④ The correlation coefficient between NDVI and precipitation was significantly larger than the correlation coefficient between NDVI and temperature in this area. The correlation coefficient between NDVI and temperature ranged from -0.60 to 0.70

and the positive correlation area accounted for 47.52% of the total area. The correlation coefficient between NDVI and precipitation ranged from -0.23 to 0.91

and the positive correlation area accounted for 99.62% of the total area. ⑤ The effective implementation of the policy of returning farmland to forest and grass in Yan’an City was the most significant factor in improving vegetation cover

followed by the role of precipitation. The roles of temperature and physical geography were smaller. [Conclusion] Yan’an City is a central city in the hinterland of the Loess Plateau. Vegetation cover there was influenced by climate and human activities. Ecological construction in the future will require knowledge based on the resource availability of different regions

with reasonable participation of human factors

and the use of corresponding control and compensation measures according to local conditions

with a view to achieving the effect of continuous increases in NDVI in Yan’an City and further enhancement of the ecological benefits of Yan’an City.

关键词

Keywords

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