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2000-2015年阜康林区植被覆盖变化及其对气候因子的响应
邢菲1, 李虎2, 李建贵3, 张乃明4, 陈冬花2, 刘玉锋2, 叶春2, 栗旭升1
1.新疆农业大学 草业与环境科学学院, 新疆 乌鲁木齐 830052;2.滁州学院 地理信息与旅游学院, 安徽 滁州 239000;3.新疆农业大学 林业研究所, 乌鲁木齐 830052;4.新疆师范大学 地理科学与旅游学院, 新疆 乌鲁木齐 830054
摘要:
[目的]分析阜康林区天保工程实施以来的植被覆盖变化、气温和降水变化及植被覆盖与气温和降水间的响应关系,为天保工程实施生态效益评价提供数据支持。[方法]基于2000-2015年MODIS/NDVI数据及阜康林区气温和降水数据,结合均值法、回归分析法、距平波动法和相关分析法等方法,探讨阜康林区天保工程实施以来林区内植被覆盖特征、气候变化状况及二者间的响应关系。[结果]①2000-2015年,阜康林区植被覆盖整体处于较低水平且呈不明显的波动下降趋势。阜康林区植被覆盖在近16 a变化最为明显的为NDVI>0.65部分,是阜康林区NDVI下降的主要部分;"低"和"较高"水平NDVI虽有上升但不明显,而"中等"水平NDVI上升明显且占比较大。②天保工程实施以来,阜康林区年平均气温总体呈波动下降趋势,整体下降幅度不明显。年降水量总体呈显著的波动上升趋势,降水量表现为显著的上升趋势。③天保工程实施以来,植被覆盖变化与气温变化的相关系数仅为0.0539,而与降水变化显著相关。植被覆盖变化受气温变化影响强度小于受降水的影响。[结论]天保工程实施以来,阜康林区植被覆盖总体呈波动下降趋势,但下降幅度并不显著;林区内气候总体由暖干向冷湿趋势发展,但变化趋势不明显;植被覆盖的波动与降水波动的关系要强于气温。阜康林区天保工程实施对周边气候改善具有一定作用,但仍需加强林区内植被保护与恢复工作。
关键词:  遥感  天保工程  植被覆盖  归一化植被指数  气候变化  相关性分析  阜康林区
DOI:10.13961/j.cnki.stbctb.2019.01.039
分类号:
基金项目:安徽省高校学科优秀拔尖人才学术培育项目"高分卫星大数据平台建设与产业化应用"(gxbjZD44);安徽省属公办普通本科高校领军人才团队项目"国产军民卫星星群数据综合处理关键技术及示范应用";滁州学院科研启动基金资助项目"基于国产高分辨率卫星数据的西天山云杉林生物量/生产力反演与时空分析关键技术研究"(2017qd09)
Vegetation Cover Change and Its Response to Climate Factors in Fukang Forest Farm from 2000 to 2015
Xing Fei1, Li Hu2, Li Jiangui3, Zhang Naiming4, Chen Donghua2, Liu Yufeng2, Ye Chun2, Li Xusheng1
1.College of Grassland and Environment Science of Xinjiang Agricultural University, Urumqi, Xinjiang 830052, China;2.College of Geographical Information and Tourism, Chuzhou University, Chuzhou, Anhui 239000, China;3.Institute of Forestry, Xinjiang Agricultural University, Urumqi, Xinjiang 830052, China;4.College of Geography and Tourism, Xinjiang Normal University, Urumqi, Xinjiang 830054, China
Abstract:
[Objective] To analyze the response relationships between vegetation cover and temperature and precipitation since the implementation of natural forest protection program (NFPP) in Fukang forest farm, in order to provide data support for the ecological benefit evaluation of NFPP. [Methods] Based on the MODIS/NDVI data and the temperature & precipitation data from 2000 to 2015 in Fukang forest farm, the methods of mean value, regression analysis, distance fluctuation and correlation analysis was used to explore the vegetation cover characteristics, climate change status in the farm and the response relationships between them. [Results] ① From 2000 to 2015, the vegetation cover in the study area was at a low level and showed a slight fluctuating downward trend. By analyzing the changes of NDVI at different levels, the most obvious change of vegetation cover in the past 15 years was the part of NDVI>0.65, which was the main part of the decline of NDVI in the study area. The level of ‘low’ and ‘high’ NDVI increased but was not obvious, and the level of ‘medium’ NDVI increased obviously and accounted for a relatively large proportion. ② Since the implementation of NFPP, the annual average temperature in the study area showed a fluctuating downward trend. The annual precipitation showed a significant fluctuating upward trend. ③ Since the implementation of the NFPP, the correlation coefficient between vegetation cover change and temperature change was only 0.053 9, while the correlation coefficient between vegetation cover change and precipitation change showed a significant correlation. Vegetation cover change was less affected by temperature than by precipitation. [Conclusion] Since the implementation of the NFPP, the vegetation coverage in the Fukang forest farm has showed a fluctuating downward trend, but the decline is not significant. The climate tends to change from warm and dry to cold and wet, and the trend is not obvious. The relationship between vegetation cover fluctuations and precipitation fluctuations is significantly stronger than that of temperature. The implementation of the NFPP in the Fukang forest farm has improved the surrounding climate, but it is still necessary to strengthen the protection and restoration of the vegetation in this region.
Key words:  remote sensing  natural forest conservation project  vegetation  NDVI  climate change  correlation analysis  Fukang forest farm