东北森林带生态系统格局变化模式特征基于强度分析框架

    Characteristics of ecosystem pattern change mode of the Northeast China forest belt: Based on an intensity analysis framework

    • 摘要:
      研究目的 基于时间序列的生态系统类型分布数据,从绝对强度和相对强度2个方面分析生态系统之间的转化趋势及对生态系统格局的影响。
      研究方法 采用强度分析框架,构建生态系统格局变化强度图谱,以东北森林带为例开展实证研究。
      研究结果 变化强度图谱将生态系统之间的转换进行了量化,展现了生态系统之间的变化特征,如2008—2015年、2015—2022年,农田生态系统向森林生态系统转化均呈现绝对倾向性的变化特征;草地生态系统向农田生态系统转化均呈现系统倾向性的变化特征;2008—2015年城镇生态系统向草地生态系统转化呈系统抑制性的变化特征,而2015—2022年呈相对倾向性的变化特征。
      结论 变化强度图谱深入挖掘了转移矩阵的深层信息,通过转入、转出的强度值展现生态系统之间的变化,为东北森林带生态系统时空格局演变分析提供参考,为生态系统格局变化规律的研究提供一种新思路。

       

      Abstract:
      Objective Based on time−series data of ecosystem type distribution, this study analyzes the transformation trends between ecosystems and their impacts on ecosystem patterns from two dimensions: absolute intensity and relative intensity.
      Methods Employing the intensity analysis framework, an intensity map of ecosystem pattern changes was constructed. An empirical study was conducted using the Northeast China forest belt as a case study.
      Results The intensity map quantifies transformations between ecosystems, revealing distinct change characteristics, from 2008—2015 and 2015—2022, the transformation from farmland ecosystem to forest ecosystem shows the change characteristics of absolute tendency; the transformation from grassland ecosystem to farmland ecosystem shows the change characteristics of systematic tendency; during 2008—2015, the transformation from urban ecosystem to grassland ecosystem shows the change characteristics of systematic inhibition, while during 2015—2022, the transformation shows the change characteristics of relative tendency.
      Conclusions The intensity map deeply excavates underlying information within the transition matrix, visualizing ecosystem changes through intensity values of gains and losses. It provides valuable insights for analyzing spatiotemporal evolution patterns of the Northeast China forest belt and offers a novel approach for studying ecosystem pattern dynamics.

       

    /

    返回文章
    返回