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Spatiotemporal change of carbon storage in the Loess Plateau of northern Shaanxi, based on the InVEST Model

机译:基于InVEST模型的陕北黄土高原地区碳储量的时空变化

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摘要

In recent years, land use and land cover have under gone tremendous change on the Loess Plateau, leading to temporal and spatial variation over many ecological factors, such as carbon storage. Based on four series of land-use data from remote-sensing imaging, spatiotemporal changes of land-use types and volume changes were analyzed. Combined with carbon-stock-assessment modules of the InVEST (integrated valuation ecosystem services and tradeoffs) model, the carbon-storage change was estimated and analyzed at the subcounty and subbasin scales. The results show that (1) cultiv-ated land and grassland area decreased, while woodland and urban land area increased in northern Shaanxi; (2) the average carbon storage in Huangling County and the Beiluo River Basin is the largest, while that of Yuyang County and the Xinshui River Basin is the minimum, and that of Wuqi County showed the greatest growth; (3) carbon storage in the study area showed a definite decrease in 2000, but in general has increased from 1995 to 2010; (4) carbon-storage figures of sub-basins and counties are all restricted by the natural status and land-use landscape of the whole study area. From the results, it can be seen that the effect of ecological policies is remarkable. This study has important implications for the rational planning of land use, adjustment of the ecosystem carbon cycle, and related policies.
机译:近年来,黄土高原土地利用和土地覆被发生了巨大变化,导致许多生态因素(例如碳储存)的时空变化。基于遥感影像的四个土地利用数据系列,分析了土地利用类型的时空变化和数量变化。结合InVEST(综合评估生态系统服务和权衡)模型的碳储量评估模块,在亚县和亚流域范围内估算和分析了碳储量变化。结果表明:(1)陕北耕地和草地面积减少,林地和城市土地面积增加; (2)黄陵县和北罗河流域的平均碳储量最大,而渔阳县和新水河流域的平均碳储量最小,而吴起县的平均碳储量最大。 (3)研究区的碳储量在2000年有明显的减少,但从1995年到2010年总体上有所增加。 (4)流域和县的碳储量数字都受整个研究区的自然状况和土地利用景观的限制。从结果可以看出,生态政策的作用是显着的。这项研究对合理规划土地利用,调整生态系统碳循环以及相关政策具有重要意义。

著录项

  • 来源
    《寒旱区科学(英文版)》 |2018年第3期|240-250|共11页
  • 作者单位

    School of Geography and Tourism, Shaanxi Normal University, Xi'an, Shaanxi 710062, China;

    School of Geography and Tourism, Shaanxi Normal University, Xi'an, Shaanxi 710062, China;

    School of Geography and Tourism, Shaanxi Normal University, Xi'an, Shaanxi 710062, China;

    School of Geography and Tourism, Shaanxi Normal University, Xi'an, Shaanxi 710062, China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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  • 入库时间 2022-08-19 03:41:28
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