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基于1982~2013年NDVI数据的新疆30年植被状况季节与年际趋势分析

马勇刚 黄粤

马勇刚, 黄粤. 基于1982~2013年NDVI数据的新疆30年植被状况季节与年际趋势分析[J]. 气候与环境研究, 2018, 23(1): 26-36. doi: 10.3878/j.issn.1006-9585.2017.16116
引用本文: 马勇刚, 黄粤. 基于1982~2013年NDVI数据的新疆30年植被状况季节与年际趋势分析[J]. 气候与环境研究, 2018, 23(1): 26-36. doi: 10.3878/j.issn.1006-9585.2017.16116
Yonggang MA, Yue HUANG. Interannual and Seasonal Trend Analysis of Vegetation Condition in Xinjiang Based on 1982-2013 NDVI Data[J]. Climatic and Environmental Research, 2018, 23(1): 26-36. doi: 10.3878/j.issn.1006-9585.2017.16116
Citation: Yonggang MA, Yue HUANG. Interannual and Seasonal Trend Analysis of Vegetation Condition in Xinjiang Based on 1982-2013 NDVI Data[J]. Climatic and Environmental Research, 2018, 23(1): 26-36. doi: 10.3878/j.issn.1006-9585.2017.16116

基于1982~2013年NDVI数据的新疆30年植被状况季节与年际趋势分析

doi: 10.3878/j.issn.1006-9585.2017.16116
基金项目: 

国家自然科学基金新疆联合基金项目 U1503183

新疆自治区青年科技创新人才培养工程优秀青年项目 2013731013

新疆自然科学基金项目 2015211B028

详细信息
    作者简介:

    马勇刚, 男, 1981年出生, 博士, 副研究员, 主要从事土地利用、气候变化和生态环境响应研究。E-mail:thank5151@163.com

    通讯作者:

    黄粤, E-mail:huangy@ms.xjb.ac.cn

  • 中图分类号: TP79

Interannual and Seasonal Trend Analysis of Vegetation Condition in Xinjiang Based on 1982-2013 NDVI Data

Funds: 

National Natural Science Foundation of China U1503183

Youth Science and Technology Innovation Talents Project of Xinjiang Uygur Autonomous 2013731013

Natural Science Foundation of Xinjiang Uygur Autonomous Region 2015211B028

  • 摘要: 以GIMMS 3g(the third generation Global Inventory Modeling and Mapping Studies Normalized Difference Vegetation Index)数据为基础,利用月合成、标准距平和趋势保留预置白方法进行数据预处理,采用季节趋势分析方法提取振幅0、振幅1和相位1季节表征因子,运用MK(Mann-Kendall)和CMK(Contextual Mann-Kendall)趋势检验获取新疆植被年际和季节趋势变化特征,结合土地利用覆盖数据,侦测显著性变化区域的空间分布特点,讨论并分析不同预处理方法和趋势分析方法下的结果差异。研究表明:(1)植被状况趋于退化的区域面积明显大于植被状况转好的面积,植被退化区域主要集中在南北疆荒漠区域的未利用地和草地,转好的区域则主要集中在山区草地、未利用地和耕地区域;(2)新疆植被年内波动幅度有明显增加的趋势,主要分布在塔里木盆地南缘以北的草地、未利用地和耕地;(3)不同预处理方法下的植被状况趋势显著性结果存在明显的影响,按照显著性信息的提取能力排序,标准距平>趋势保留预置白>原始数据>月平均;(4)耕地区域中有87.88%表现出年内波动幅度显著增加的趋势,53.31%生长季开始期显著推迟。
  • 图  1  新疆NDVI空间分布

    Figure  1.  Spatial pattern of NDVI (Normalized Difference Vegetation Index) in Xinjiang

    图  2  新疆典型地物NDVI时间剖面:(a)荒漠植被;(b)山区草地;(c)山区落叶林地

    Figure  2.  NDVI temporal profile of typical land class in Xinjiang: (a) Desert vegetation; (b) mountain grass; (c) mountain deciduous forest

    图  3  2010年新疆土地利用类型图

    Figure  3.  LUCC (Land Use and Land Cover) map of Xinjiang in 2010

    图  4  研究流程图

    Figure  4.  Flow chart for this study

    图  5  不同预处理数据MK(第一行、第三行)和CMK(第二行、第四行)长期趋势变化空间分布与对比:(a、b)原始数据;(c、d)月平均数据;(e、f)标准距平数据;(g、h)月平均标准距平数据;(i、j)标准距平趋势保留预置白数据;(k、l)月平均标准距平趋势保留预置白数据

    Figure  5.  Comparison and distributions of long-term changes detected from six preprocessed data with (a, c, e, g, i, k) MK (Mann-Kendall) test and (b, d, f, h, j, l) CMK (Contextual Mann-Kendall) test: (a, b) Original data; (c, d) monthly average data; (e, f) standard deviation data; (g, h) monthly average and standard deviation data; (i, j) standard deviation and trend-preserving prewhiting data; (k, l) monthly average, standard deviation, and trend-preserving prewhiting data

    图  6  不同预处理数据长期趋势变化类型比例分布

    Figure  6.  Proportions of long-term changes detected from the preprocessed data

    图  7  各类长期趋势变化类型的土地利用类型比例分布:(a)极显著减少;(b)显著减少;(c)极显著增加;(d)显著增加

    Figure  7.  Proportions of LULC for different types with long-term trend changes: (a) Significantly decreased; (b) significantly decrease; (c) significantly increased; (d) significant increase

    图  8  (a、b)振幅0、(c、d)振幅1、(e、f)相位1三组分季节趋势分析:(a、c、e)MK趋势检验;(b、d、f)CMK趋势检验

    Figure  8.  (a, b) Amplitude 0, (c, d) amplitude 1, and (e, f) phase 1 for seasonal trend analysis: (a, c, e) MK test; (b, d, f) CMK test

    表  1  季节趋势变化三组分分类统计表

    Table  1.   Statistics of three components for seasonal trend analysis

    面积比例
    季节趋势分析极显著减少 显著减少 不显著 显著增加 极显著增加
    振幅0 MK 41.41% 5.96% 37.79% 5.02% 9.82%
    振幅0 CMK 43.46% 5.24% 37.56% 5.41% 8.33%
    振幅1 MK 7.43% 6.77% 55.64% 8.66% 21.51%
    振幅1 CMK 8.14% 6.72% 49.83% 7.79% 27.53%
    相位1 MK 6.02% 4.20% 79.04% 6.62% 4.12%
    相位1 CMK 6.84% 3.67% 80.42% 5.98% 3.08%
    下载: 导出CSV

    表  2  振幅1和相位1趋势变化类型的土地利用空间分布情况

    Table  2.   Spatial distributions for amplitude 1 and phase 1 trend change types combined with LUCC data

    面积比例
    变化类型林地草地水域建设用地未利用地耕地
    振幅1极显著减少0.63%|2.98%27.14%|7.05%3.39%|4.75%0.00%|3.13%68.54%|8.43%0.29%|0.69%
    显著减少0.53%|1.28%17.43%|4.19%3.11%|7.28%0.06%|3.13%78.70%|8.68%0.18%|0.23%
    不显著0.69%|28.51%17.67%|40.36%2.75%|58.54%0.09%|18.75%78.39%|67.24%0.41%|11.21%
    显著增加3.54%|11.91%44.59%|12.82%3.74%|11.08%0.25%|6.25%46.05%|6.57%1.82%|6.64%
    极显著增加5.97%|55.32%48.80%|35.58%3.71%|18.35%0.89%|68.75%26.17%|9.07%14.46%|81.24%
    相位1极显著减少3.67%|9.36%28.70%|5.95%2.82%|5.38%1.51%|28.13%33.94%|3.36%29.36%|40.5%
    显著减少2.53%|4.68%21.67%|3.13%3.00%|4.11%0.94%|12.5%58.44%|4.05%13.41%|12.81%
    不显著2.07%|69.36%27.86%|75.7%3.05|76.270.17%|43.75%64.62%|84.12%2.24%|40.5%
    显著增加3.04%|8.51%41.69%|9.49%4.05%|8.54%0.42%|9.38%49.08%|5.35%1.73%|2.52%
    极显著增加4.60%|8.09%40.71%|5.78%4.69%|6.01%0.38%|6.25%45.98%|3.11%3.64%|3.43%
    注:“|”前数值为占该行变化类型的面积比例,“|”后为占该列土地利用类型面积的比例。
    下载: 导出CSV
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  • 收稿日期:  2016-06-14
  • 网络出版日期:  2017-03-17
  • 刊出日期:  2018-01-20

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