1990-2020年攀枝花市植被覆盖度时空变化及其驱动因素研究
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1.四川农业大学林学院;2.四川农业大学资源学院

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国家重点研发计划项目(2022YFF1302903)


Study on spatial and temporal changes of vegetation cover and its driving factors in Panzhihua City, 1990-2020
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College of Forestry,Sichuan Agricultural University

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    摘要:

    [目的]探究攀枝花市植被覆盖度时空变化特征及驱动因素,为攀枝花市制定区域生态环境保护方案、维护区域生态平衡提供理论依据。[方法]基于Landsat-EVI数据,结合自然和社会经济数据,借助像元二分模型、Sen+MK趋势、偏相关和最优参数地理探测器模型等方法,分析了攀枝花市1990—2020年间植被覆盖度特征、明晰其驱动因素。[结果](1)攀枝花市植被覆盖度(FVC)呈“南低北高”的空间分布特征,以高等级植被覆盖为主。近30年,FVC介于0.635-0.792之间,退化区面积占比为17.70%,改善区面积占比为44.97%。(2)FVC与降水、气温呈正相关区域面积占比分别为61.87%、57.40%。(3)土地利用、高程、气温是FVC空间分异的主要影响因素,影响力在0.2以上;因子间的交互作用大多表现为增强,其中,坡向和气温耦合后,影响力可提升到43%;各驱动因子对研究区植被生长的影响均有其适宜的范围。[结论]近30年,FVC整体呈上升趋势,但部分区域植被退化明显,未来区域植被建设需要在优化土地利用格局时注重地形分布规律及气候变化,以应对环境演变下植被生态系统可持续发展面临的挑战。

    Abstract:

    [Objective] To investigate the spatial and temporal variation characteristics and driving factors of vegetation cover in Panzhihua City, and to provide theoretical basis for Panzhihua City to formulate regional ecological environmental protection programs and maintain regional ecological balance. [Methods] Based on Landsat-EVI data, combined with natural and socio-economic data, we analyzed the characteristics and driving factors of vegetation cover in Panzhihua City during the period of 1990-2020 with the help of like element dichotomous model, Sen+MK trend, partial correlation and optimal parameter geographic detector model. [Results] (1) The spatial distribution of vegetation cover (FVC) in Panzhihua City was characterized by “low in the south and high in the north”, with high-grade vegetation cover dominating. In the past 30a, the FVC ranged from 0.635-0.792, with the area of degraded area accounting for 17.70% and the area of improved area accounting for 44.97%. (2) The area proportion of areas where FVC was positively correlated with precipitation and air temperature is 61.87% and 57.40%, respectively. (3) Land use, elevation, and air temperature are the main influencing factors of spatial differentiation of FVC, with the influence above 0.2; most of the interactions among the factors were shown to be enhanced, among which, the influence can be increased to 43% after the coupling of slope direction and air temperature; the influences of the driving factors on the growth of vegetation in the study area have their appropriate ranges. [Conclusions] In the past 30a, FVC showed an overall upward trend, but the vegetation degradation is obvious in some areas. In the future, regional vegetation construction needs to focus on the terrain distribution pattern and climate change when optimizing the land-use pattern, in order to cope with the challenges of sustainable development of vegetation ecosystems under environmental evolution.

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  • 收稿日期:2024-07-15
  • 最后修改日期:2024-10-07
  • 录用日期:2024-10-08
  • 在线发布日期: 2025-01-09
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