摘要: 植被覆盖度和生产力指标作为评价草原生态系统退化已有较多研究，各单一评价指标互相独立难以对不同草原退化程度进行综合评价。本研究以新疆天山中部巴音布鲁克草原为研究对象，提出了一种基于标准化处理分指标耦合的草原退化遥感评估方法。选取草原植被覆盖度、草层平均高度、总产草量3个分指标，通过主成分分析法确定分指标权重，并引入Min-Max标准化方法处理并构建综合评价指标草地退化指数（Grassland DegradationIndex，GDI），最终通过Landsat影像反演以及草地退化指数变化率的合理分级评估了19862021年新疆天山巴音布鲁克草原的退化程度。结果表明：（1）GDIg 与NDVI的相关性最好。（2）2021年巴音布鲁克草原未退化面积占总面积的比例为60.51 %；不同草地类型的草地退化程度有明显差异；空间分布上表现为由盆地向山地退化加重的趋势。（3）通过辐射配准方法可以将GDIrs 模型应用于其他年份，20002009年巴音布鲁克草原退化程度明显改善，20092021年草原退化程度轻微波动。研究结果将为指导巴音布鲁克草原退化程度的评价和保护草原生态系统提供一定的数据支撑和理论基础。
Abstract: Many studies on grassland ecosystem degradation have been performed using vegetation coverage orproductivity indexes for evaluation. However, it is difficult to comprehensively evaluate different degrees ofgrassland degradation using a single evaluation index. Taking Bayinbuluk grassland in the Xinjiang TianshanMountains as a research object, a remote sensing method for evaluating grassland degradation based onstandardized processing sub- index coupling was proposed. The grassland vegetation coverage, average grasslayer height, and total grass yield were selected to determine the weight of the three indexes by principalcomponent analysis. The Min-Max standardized method was introduced to construct the grassland degradationindex (GDI). Finally, the degree of degradation of Bayinbuluk grassland in the Xinjiang Tianshan Mountains wasdetermined through Landsat image inversion and reasonable classification of the rate of change of grasslanddegradation index from 1986 to 2021. The results showed that GDIg has the best correlation with NDVI. In 2021,the proportion of undegraded area of Bayinbuluk grassland relative to the total area was 60.51%. The degree ofdegradation of different grassland types showed clear differences. The spatial distribution showed a trend of basinto mountain degradation. The GDIrs model could be applied to other years through the radiation registrationmethod. The degree of degradation of Bayinbuluk grassland significantly improved from 2000 to 2009 andslightly fluctuated from 2009 to 2021. The results of this research provide robust data support and a theoreticalbasis for guiding evaluation of the degree of degradation of Bayinbuluk grassland and protecting the grasslandecosystem.
| [V1] | 2023-05-30 18:36:02 | ChinaXiv:202305.00262V1 | 下载全文 |
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