| 蒙古国植被物候特征及其对地理要素的响应 |
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| 引用本文： | 邵亚婷,王卷乐,严欣荣.蒙古国植被物候特征及其对地理要素的响应[J].地理研究,2021,40(11):3029-3043. |
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| 作者姓名： | 邵亚婷 王卷乐 严欣荣 |
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| 作者单位： | 1.中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室,北京 1001012.江苏海洋大学海洋技术与测绘学院,连云港 2220053.中国科学院大学,北京 1000494.江苏省地理信息资源开发与利用协同创新中心,南京 210023 |
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| 基金项目： | 中国科学院A类战略性先导科技专项(XDA2003020302);国家自然科学基金面上项目(41971385);中国工程科技知识中心建设项目(CKCEST-2021-2-18) |
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| 摘 要： | 蒙古高原是中国重要的北方生态屏障。在全球气候变化的背景下,研究蒙古国植被物候变化特征对于认识蒙古国草地生态系统对气候变化的响应和促进区域畜牧业可持续发展具有重要意义。本研究利用非对称高斯拟合法对蒙古国2001—2019年MOD13Q1产品中的归一化植被指数（Normalized Differential Vegetation Index,NDVI）数据拟合,得到较为平滑的NDVI时间序列数据;基于TIMESAT平台,采用动态阈值法分析获得蒙古国连续19a植被物候数据。研究分析了蒙古国植被物候的空间分布及年际变化趋势,发现蒙古国植被返青期（Start of growing season,SOS）主要集中在110~150d,总体呈微弱推迟趋势,植被枯黄期（End of growing season,EOS）主要集中在270~310d,总体呈提前趋势,从而导致蒙古国生长季长度（Length of growing season,LOS）呈缩短趋势,且缩短时间最长可达2d以上。采用偏相关分析方法分析了植被物候对地形、降水、地表温度等地理要素的响应,表明蒙古国植被物候具有明显的空间异质性和海拔依赖性,不同植被物候对降水、地表温度（Land Surface Temperature,LST）的响应不同,SOS与日间LST呈显著正相关,EOS与夜间LST呈显著正相关,而LOS与年均降水呈显著负相关关系。
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| 关 键 词： | NDVI 植被物候期 非对称高斯拟合法 地理要素 蒙古国 |
| 收稿时间： | 2021-02-23 |
The phenological characteristics of Mongolian vegetation and its response to geographical elements |
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| SHAO Yating,WANG Juanle,YAN Xinrong.The phenological characteristics of Mongolian vegetation and its response to geographical elements[J].Geographical Research,2021,40(11):3029-3043. |
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| Authors: | SHAO Yating WANG Juanle YAN Xinrong |
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| Institution: | 1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China2. School of Marine Technology and Geomatics, Jiangsu Ocean University, Lianyungang 222005, Jiangsu, China3. University of Chinese Academy of Sciences, Beijing 100049, China4. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China |
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| Abstract: | The Mongolian Plateau is an important ecological barrier in northern China. Under the background of global climate change, the study of vegetation phenological change characteristics in Mongolia is not only the requirement of healthy development of grassland ecosystem in the country, but also the strategic need of sustainable development of local animal husbandry. In this study, asymmetric Gaussian fitting method was used to suit the MOD13Q1-NDVI data of Mongolia from 2001 to 2019, and obtain relatively smooth NDVI time series data. Based on TIMESAT platform, dynamic threshold method was used to analyze NDVI time series to obtain results of start of growing season (SOS), end of growing season (EOS) and length of growing season (LOS). The study analyzed the spatial distribution of vegetation phenology in Mongolia and the inter-annual variation trend, and the result shows that the SOS was mainly concentrated in 110-150 d, with a weak delay trend, and the EOS was mainly found in 270-310 d, with an advance trend, which leads to a shortening trend of LOS, and the shortening time can be up to more than 2 d. Finally, partial correlation analysis was used to examine the response of vegetation phenology to topography, precipitation, surface temperature and other geographical factors. The results show that the vegetation phenology in Mongolia has obvious spatial heterogeneity and altitude dependence. The SOS of Mongolian vegetation as a whole was mainly advanced with the increase of altitude, while the EOS was firstly delayed, then advanced, and then delayed with the increase of altitude. The correlation between vegetation phenology of different types and land surface temperature (LST) is different in Mongolia. The EOS of Mongolian vegetation is influenced more by nighttime surface temperature (NLST) than by daytime surface temperature (DLST). There was no significant negative correlation between LOS and average ground temperature from March to October, that is, with the increase of temperature, the length of vegetation growing season was shortened. The SOS of Mongolian vegetation is positively correlated with the average precipitation in March and the EOS is positively correlated with the average precipitation in September. Vegetation LOS was negatively correlated with average annual precipitation and average precipitation from March to October. The research shows that the SOS and EOS of desert steppe are sensitive to the changes of precipitation and surface temperature, and the growth season of desert steppe is the longest. |
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| Keywords: | NDVI vegetation phenology asymmetric Gaussian fitting method geographical elements Mongolia |
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