Analysis of Temporal and Spatial Changes in Vegetation Phenology and Its Influencing Factors in Keriya River Basin

Zhang Wenqi; Li Dan; Shi Qingdong; Guo Yuchuan; Bi Lali·Yi Ming; Li Hao

doi:10.13961/j.cnki.stbctb.2020.05.042

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Analysis of Temporal and Spatial Changes in Vegetation Phenology and Its Influencing Factors in Keriya River Basin

- Analysis of Temporal and Spatial Changes in Vegetation Phenology and Its Influencing Factors in Keriya River Basin
- Bulletin of Soiland Water Conservation Vol. 40, Issue 5, Pages: 291-298(2020)
- 作者机构：
  
  1. 新疆大学资源与环境科学学院,新疆,乌鲁木齐,830046
  2. 绿洲生态教育部重点实验室,新疆,乌鲁木齐,830046
  3. 西安石油大学石油工程学院,陕西,西安,710065
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2020.05.042
  CLC： Q948;TP79
- Published：2020
- 稿件说明：
移动端阅览
Zhang Wenqi, Li Dan, Shi Qingdong, et al. Analysis of Temporal and Spatial Changes in Vegetation Phenology and Its Influencing Factors in Keriya River Basin[J]. Bulletin of Soiland Water Conservation, 2020, 40(5): 291-298.
DOI：

Zhang Wenqi, Li Dan, Shi Qingdong, et al. Analysis of Temporal and Spatial Changes in Vegetation Phenology and Its Influencing Factors in Keriya River Basin[J]. Bulletin of Soiland Water Conservation, 2020, 40(5): 291-298. DOI： 10.13961/j.cnki.stbctb.2020.05.042.

摘要

[目的

]

探究克里雅河流域2000—2015年植被物候期时空变化规律，在气候变化背景下为该流域植被演变过程研究提供参考。[方法

]

以MODIS MOD

产品和当地气象站点数据为数据源，利用植被指数动态阈值法提取流域植被物候信息并进行空间趋势分析，以偏最小二乘回归方法分析克里雅河流域植被物候期与不同月份气象因子的相关性。[结果

]

①研究期内植被生长期开始时间主要在第60—180 d之间，结束时间在第180—322 d之间，植被生长期长度在70~250 d之间。中游的人工绿洲植被生长期开始时间最早，结束时间最晚，植被生长时间最长。②2000—2015年克里雅河流域植被返青期整体呈提前趋势，变化速率均值为-1.3 d/10 a，植被枯黄期呈推迟趋势，生长期延长，其中以中游的变化趋势最为明显。③春季气温和降水量的升高促进植被返青期提前，秋季气温和降水量的升高会对植被枯黄期起到推迟作用。[结论

]

克里雅河流域植被物候期在不同的海拔梯度上有明显的分布变化规律，中游人工绿洲植被的物候变化规律远异于自然植被物候变化规律，并且可能影响到了下游。

Abstract

[Objective] The temporal and spatial variation in the phenological period of vegetation in the Keriya River basin from 2000 to 2015 was explored to provide reference for the study of vegetation evolution processes in the context of climate change.[Methods] Taking MODIS MOD09Q1 products and local meteorological station data as data sources

information on the vegetation phenology was extracted by using the vegetation index dynamic threshold method and then analyzed using a spatial trend analysis. The correlation between the phenological period of vegetation and meteorological factors in different months was analyzed by a partial least squares regression method.[Results] ① The start of the growth season (SOS) in the study area was mainly between 60—180 d

the end of growth season (EOS) was between 180—322 d

and the length of the growth season (LOS) was 70—250 d. The growth period of the artificial oasis in the middle reaches began the earliest

ended the latest

and was the longest vegetation growth time. ② From 2000 to 2015

the SOS in the Keriya River basin showed advancement

with an average change rate of -1.3 d every 10 years

whereas the EOS was postponed

the LOS was extended

and the most obvious variations in trends were in the middle reaches. ③ The increased temperature and precipitation in spring advanced the SOS

and the same in autumn

delayed the EOS.[Conclusion] The vegetation phenology in the Keriya River basin has obvious distribution and change rules at different elevation gradients

and the phenology change rule of the artificial oasis in the middle reaches is far different from that of the natural vegetation

and may affect the lower reaches.

关键词

Keywords

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