| 贵州高原典型喀斯特县域生境质量时空演变及定量归因 |
| 摘要点击 357 全文点击 60 投稿时间：2023-06-29 修订日期：2023-08-11 |
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| 中文关键词 贵州喀斯特 InVEST模型 生境质量 地理探测器 驱动因子 |
| 英文关键词 Guizhou Karst InVEST model habitat quality geographical detector driving factors |
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| 中文摘要 |
| 揭示贵州高原喀斯特县域生境质量时空演变规律及其驱动因素,为平衡喀斯特区域生态保护和可持续发展提供科学依据.利用1989年、2003年、2010年和2020年4期土地利用数据、DEM数据、气象数据和社会经济数据,采用InVEST模型阐明普定县近30年生境质量时空分布格局及演变特征,并对其空间分异的驱动力进行了定量探测.结果表明：①耕地和林地是普定县的主要土地利用类型,构成了地表覆盖景观基质.2003~2010年土地利用变化最显著,其中林地的增幅最大,达86.42%,耕地是流失最严重的土地利用类型,面积减少157.57 km2,主要流向林地和建设用地；②1989~2020年普定县生境质量指数平均值由0.60上升至0.73,空间上由东北部向西南部大体呈现出“高-低-高”的分布格局,生境质量高值区主要分布在东北部林地和草地区,低值区集中在中部和南部的建设用地,生境质量等级上升的区域主要集中在东部及西北部的大部分地区；③土地利用类型是影响生境质量时空分布的首要因素,解释程度为91.00%.在交互作用探测中,任意两种影响因素的交互作用大于单个因素的单独作用,土地利用类型和年均降水量的交互作用最强,达到96.00%,其与岩性因子的交互作用达到94.00%,自然与人文因素共同主导生境质量的时空变化.1989~2020年普定县生境质量总体较好,土地利用类型变化与生境质量关系密切,优化土地利用结构、减小人类活动的影响对提高普定县生境质量具有重要意义. |
| 英文摘要 |
| The purpose of this study was to reveal the spatial and temporal evolution patterns of habitat quality in karst counties of Guizhou plateau and its driving factors and to provide scientific basis for balanced ecological conservation and sustainable development of karst regions. Using DEM data, meteorological data, socio-economic data, and four periods of land use data in 1989, 2003, 2010, and 2020, the InVEST model was used to analyze the spatial and temporal evolution characteristics of habitat quality in Puding County from 1989 to 2020 and to quantitatively detect the driving forces of its spatial divergence. The results were as follows:① Arable land and forest land were the main land use types in Puding County, which constituted the surface cover landscape matrix. Land use changes from 2003-2010 were the most significant, among which forest land had the largest increase of 86.42%; arable land was the most severely lost land use type, with an area decrease of 157.57 km2, mainly flowing to forest land and construction land. ② From 1989 to 2020, the average value of habitat quality index in Puding County increased from 0.60 to 0.73. Spatially, the distribution pattern of "high-low-high" was generally from northeast to southwest, with the high value areas of habitat quality mainly distributed in the woodland and grassland areas in the northeast and the low value areas concentrated in the construction land in the central and south areas. ③ Land use type was the primary factor affecting the spatial and temporal distribution of habitat quality, with an explanation of 91.00%. In the interaction detection, the interaction of any two influencing factors was greater than that of individual factors alone, and the interaction between land use type and average annual precipitation was the strongest, reaching 96.00%; the interaction with lithological factors reached 94.00%, with natural and human factors jointly dominating the spatial and temporal changes in habitat quality. From the results of this study, we concluded that the habitat quality of Puding County was generally good from 1989 to 2020, and the relationship between land use type changes and habitat quality was close. Optimizing the land use structure and reducing the influence of human activities are important to improve the habitat quality of Puding County. |
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