Spatiotemporal Variation of Leaf Area Index and Its Response to Climatic Factors in Ulanqab City

Huang Yan; Song Haiqing; Sun Xiaolong; Li Yunpeng; Hu Qi

doi:10.13961/j.cnki.stbctb.2022.02.045

您当前的位置：

首页 >

文章列表页 >

Spatiotemporal Variation of Leaf Area Index and Its Response to Climatic Factors in Ulanqab City

- Spatiotemporal Variation of Leaf Area Index and Its Response to Climatic Factors in Ulanqab City
- Bulletin of Soiland Water Conservation Vol. 42, Issue 2, Pages: 338-346(2022)
- 作者机构：
  
  1. 乌兰察布市气象局,内蒙古,乌兰察布,012000
  2. 内蒙古自治区生态与农业气象中心,内蒙古,呼和浩特,010051
  3. 中国农业大学资源与环境学院,北京,100193
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2022.02.045
  CLC： Q94;P49
- Published：2022
- 稿件说明：
移动端阅览
Huang Yan, Song Haiqing, Sun Xiaolong, et al. Spatiotemporal Variation of Leaf Area Index and Its Response to Climatic Factors in Ulanqab City[J]. Bulletin of Soiland Water Conservation, 2022, 42(2): 338-346.
DOI：

Huang Yan, Song Haiqing, Sun Xiaolong, et al. Spatiotemporal Variation of Leaf Area Index and Its Response to Climatic Factors in Ulanqab City[J]. Bulletin of Soiland Water Conservation, 2022, 42(2): 338-346. DOI： 10.13961/j.cnki.stbctb.2022.02.045.

摘要

[目的] 研究乌兰察布市植被叶面积指数(LAI)动态变化及对气候因子的响应，为该地区资源合理分配和生态保护提供科学依据。[方法] 基于2000—2019年7—8月哥白尼气候变化服务项目PROBA-V LAI数据，结合气象数据，利用趋势分析、变异系数法、相关性分析方法等探讨了乌兰察布市LAI时空变化及与气温、降水、土壤湿度的关系。[结果] ① 2000—2019年7—8月乌兰察布市LAI整体呈波动上升趋势，速度为0.01/a，LAI空间分布差异明显，呈东南高西北低的特征。②LAI增加的区域占88.3%，兴和县大部、丰镇市东部、凉城县西部、四子王旗西南部及察哈尔右翼中旗中北部等地显著增加，阴山以北的后山大部分地区LAI上升速度较缓慢或出现下降，研究期内植被LAI变化相对不稳定。③LAI与同期气温呈显著负相关，与降水和土壤湿度呈极显著正相关，且与土壤湿度的相关性高于降水和气温。④LAI与气温、降水、土壤湿度的相关系数空间分布差异不显著，大部分区域植被LAI与气温呈负相关，45.4%的区域相关性显著；与降水和土壤湿度呈显著正相关，呈极显著正相关的区域土壤湿度大于降水。[结论] 2000—2019年，乌兰察布市植被LAI整体上升，空间异质性明显，土壤湿度是影响植被生长的决定性因素。

Abstract

[Objective] The dynamic change of leaf area index (LAI) and its response to climatic factors in Ulanqab City were studied in order to provide a scientific basis for rational resource allocation and ecological conservation. [Methods] Based on the Copernicus Climate Change Service PROBA-V LAI data and meteorological data from July to August during the period of 2000—2019

the spatiotemporal variation of LAI and its relationship with temperature

precipitation

and soil moisture in Ulanqab City were explored using linear trend analysis

coefficient of variation analysis and correlation analysis. [Results] ① Average LAI showed a fluctuating upward trend at a growth rate of 0.01 per year in Ulanqab City during the study period. Significant differences were found in the spatial distribution of LAI

which was characterized by high LAI in the southeast and low LAI in the northwest. ② Although 88.3% of the study area showed an increasing trend for LAI

the change of LAI was relatively unstable during the study period. A significant increasing trend was found in most of Xinghe County

the east of Fengzhen City

the west of Liangcheng County

the southwest of Siziwang Banner

and the central and northern parts of Chahar Right Middle Banner

while a slowly increasing or decreasing trend was found in most areas of Houshan Mountain in the north of Yinshan Mountain. ③ LAI showed a significant negative correlation with temperature

and a highly significant positive correlation with precipitation and soil moisture. The correlation of LAI with soil moisture was higher than that of precipitation and temperature. ④ No significant difference was found in the spatial distribution of correlation coefficients between LAI and temperature

precipitation

and soil moisture. Most areas had negative correlations between LAI and temperature

with 45.4% of the study area showing significant negative correlations. LAI had significant positive correlations with precipitation and soil moisture

and the area of significant correlation between LAI and soil moisture was larger than that of precipitation. [Conclusion] During 2000—2019

the LAI of vegetation in Ulanqab City showed an increasing trend and obvious spatial heterogeneity. Soil moisture was the decisive factor affecting vegetation growth.

关键词

Keywords

references

李建飞,李小兵,周义.2000—2015年乌兰察布市生长季NDVI时空变化及其影响因素[J].干旱区研究,2019,36(5):1238-1249.

孙康慧,曾晓东,李芳.中国生态脆弱区叶面积指数变化的主导气象因子研究[J].自然资源学报,2021,36(7):1873-1892.

石晓丽,史文娇.北方农牧交错带界线的变迁及其驱动力研究进展[J].农业工程学报,2018,34(20):1-11.

彭飞,孙国栋.1982—1999年中国地区叶面积指数变化及其与气候变化的关系[J].气候与环境研究,2017,22(2):162-176.

张佳华,符淙斌.利用遥感反演的叶面积指数研究中国东部生态系统对东亚季风的响应[J].自然科学进展,2002，12(10):92-94,116-117.

邵全琴,赵志平,刘纪远,等.近30年来三江源地区土地覆被与宏观生态变化特征[J].地理研究,2010,29(8):1439-1451.

Xiao Zhiqiang, Liang Shunlin, Wang Jindi, et al. Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance [J]. IEEE Transactions on Geoscience and Remote Sensing, 2016,54(9):1-18.

Fang H, Baret F, Plummer S, et al. An overview of global leaf area index (LAI): Methods, products, validation, and applications [J]. Reviews of Geophysics, 2019.57(3):739-799.

王雅鑫,巴雅尔,孙亚丽,等.基于叶面积指数的荒漠草原动态监测[J].内蒙古师范大学学报(自然科学汉文版),2019,48(4):314-322.

韩思淇,麻泽龙,庄文化,等.2000—2018年黄河源植被叶面积指数时空变化特征[J].灌溉排水学报,2019,38(12):57-62.

靳华安,刘殿伟,王宗明,等.三江平原湿地植被叶面积指数遥感估算模型[J].生态学杂志,2008，27(5):803-808.

Dusseux P, Gong X, Hubert M L, et al. Identification of grassland management practices from leaf area index time series [J]. Journal of Applied Remote Sensing, 2014,8(1):083559.

董金芳,袁媛,何慧娟,等.基于MODIS的陕西省叶面积指数时空变化特征分析[J].西北林学院学报,2016,31(3):79-85.

王利,徐翠玲,蒋镒竹.黑河流域植被叶面积指数时空变化特征[J].水力发电,2021,47(10):6-11,36.

张宇佳,袁金国,张莎.2002—2011年河北省植被LAI时空变化特征[J].南京林业大学学报(自然科学版),2015,39(1):86-92.

He Jie, Yang Kun, Tang Wenjun, et al. The first high-resolution meteorological forcing dataset for land process studies over China [J]. Science Data, 2020,7(25):1-11.

宋海清,李云鹏,师春香,等.内蒙古地区下垫面变化对土壤湿度数值模拟的影响[J].大气科学,2016,40(6):1165-1181.

徐浩杰,杨太保.柴达木盆地植被生长时空变化特征及其对气候要素的响应[J].自然资源学报,2014,29(3):398-409.

Running S W, Hunt Jr E R. Generalization of a forest ecosystem process model for other biomes, BIOME-BCG, and an application for global-scale models [J]. Scaling Physiological Processes，1993，37(12)：141-158.

刘晓婉,彭定志,徐宗学.雅鲁藏布江流域NDVI对高程与降水的相依性研究[J].高原气象,2018,37(2):349-357.

董静.乌兰察布市主要气象灾害及防御[M].北京:气象出版社,2018.

郭晓丽.乌兰察布市近十年植被指数时空特征分析[J].北方农业学报,2017,45(3):86-89.

曹二佳,薛羽,李红瑛,等.基于相对湿润指数的蒙中农牧交错带作物生长季干旱时空分析:以乌兰察布市为例[J].中国农村水利水电,2019(11):165-171.

乌兰察布市统计局.乌兰察布市统计年鉴2012—2020年[M].(2020-02-03)[2021-03-12]. http://tjj.wulanchabu.gov.cn.

王锡稳,王毅荣,张存杰.黄土高原典型半干旱区水热变化及其土壤水分响应[J].中国沙漠,2007，27(1):123-129.

宁和平,刘丽,栾振斌,等.甘南合作地区牧草生长季土壤水分气候变化特征[J].中国农学通报,2021,37(14):116-122.

张翀,雷田旺,宋佃星.黄土高原植被覆盖与土壤湿度的时滞关联及时空特征分析[J].生态学报,2018,38(6):2128-2138.

邹慧,高光耀,傅伯杰.干旱半干旱草地生态系统与土壤水分关系研究进展[J].生态学报,2016,36(11):3127-3136.

张景华,封志明,姜鲁光,等.澜沧江流域植被NDVI与气候因子的相关性分析[J].自然资源学报,2015,30(9):1425-1435.

王茜,陈莹,阮玺睿,等.1982—2012年中国NDVI变化及其与气候因子的关系[J].草地学报,2017,25(4):691-700.

卢乔倩,江涛,柳丹丽,等.中国不同植被覆盖类型NDVI对气温和降水的响应特征[J].生态环境学报,2020,29(1):23-34.

Views

777

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Changes and its driving factors of ecological environment quality in Yellow River Source Park from 2000 to 2024

Construction of ecological security pattern at Zhangjiakou section of Bashang region based on landscape connectivity optimization

Spatial correlation networks and influencing factors of urban land green utilization efficiency in three major urban agglomerations of Yellow River basin

Spatiotemporal evolution and multi-scenario simulation of carbon storage in Pingxiang City， Jiangxi Province based on PLUS-InVEST model

Runoff and sediment yield characteristics of typical soil slopes in Xin’an River basin under different rainfall intensities and slope gradients

Related Author

No data

Related Institution

No data

⁰