| 张斯源, 樊逸飞, 颜礼, 肖星竹, 李豪.基于长时序MODIS的陕西省近20年生态质量时空变化及其驱动力研究[J].水土保持学报,2023,37(2):111~119,198 |
| 基于长时序MODIS的陕西省近20年生态质量时空变化及其驱动力研究 |
| Temporal and Spatial Variation and Driving Forces of Eco-Environmental Quality in Shaanxi Province in Recent 20 Years Based on Long Time Series MODIS Data |
| 投稿时间：2022-07-19 |
| DOI：10.13870/j.cnki.stbcxb.2023.02.014 |
| 中文关键词: 遥感生态指数 MODIS 驱动力 时空变化 Hurst指数 陕西省 |
| 英文关键词: remote sensing ecological index MODIS driving forces spatial-temporal variations Hurst index Shaanxi Province |
| 基金项目:国家自然科学基金项目(41501291);四川天府新区乡村振兴研究院"揭榜挂帅"项目(XZY1-14) |
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| 中文摘要: |
| 人口激增和随之带来的气候变化对区域生态环境产生胁迫,生态环境质量的动态定量评估可为地区生态环境保护战略部署和区域生态文明建设提供研究支撑。陕西省现有生态质量评价的研究多基于区县尺度的统计数据,但普遍存在时间跨度小且难以揭示其内在驱动力的问题。基于2001—2018年MODIS数据计算陕西省生长季遥感生态指数(RSEI),运用趋势分析法、Hurst指数法、偏相关分析法于像元尺度探究陕西省2001—2018年生态质量时空演变规律及其对气候和人类活动的响应。结果表明:(1)陕西省近20年来生态质量持续改善,RSEI值以0.34%/a的速率增长,生态质量极好的区域不断增加。(2) RSEI变化趋势较为显著且以明显改善趋势为主,总体呈"南高北低"的空间分布格局,通过M—K检验的像元占77.89%(p＜0.05),明显改善的像元占66.75%,主要分布在陕北地区的延安市和榆林市,而显著退化的像元占11.08%,主要分布在关中平原和秦巴山区等地。Hurst指数表明,RSEI未来变化趋势以反持续性为主,46.04%的像元将由改善转为未来退化,29.33%的像元将持续改善。(3) RSEI与气温和降水均呈正相关关系,且降水的影响大于气温;与人类活动呈现负相关的区域集中在西安城市群及陕北中心城市区域,且显著相关(p＜0.05);像元占比中,夜间灯光指数(36.83%)＞降水(18.38%)＞气温(7.65%)。各土地利用转化类型中退耕还林还草区RSEI增长速率最大,达到0.84%/a,耕地转建设用地区RSEI持续下降,达到0.23%/a,体现人类活动对生态环境质量影响的正负相关性。研究结果填补了陕西省长时序生态环境动态监测的空白,为黄河流域生态治理与绿色发展提供依据。 |
| 英文摘要: |
| The population surge and climate change have stressed regional ecological environment.The dynamic quantitative assessment of ecological environment quality can provide research support for the strategy development about regional ecological environment protection and civilization construction.The existing ecological quality assessment studies in Shaanxi Province are mostly based on the statistical data at the district and county scale,but there are generally problems such as small time span and difficulties to reveal the internal driving forces.MODIS data from 2001 to 2018 were used to calculate the remote sensing ecological index (RSEI) during the growing season in Shaanxi Province.Trend analysis,Hurst index method and partial correlation analysis were used to explore the spatio-temporal evolution of ecological quality and its response to climate and human activities in Shaanxi province from 2001 to 2018 at pixel scale.The results showed that:(1) The ecological quality of shaanxi province has been continuously improved in the past 20 years.The RSEI value increased at a rate of 0.34%/a,and the area with excellent ecological quality increased continuously.(2) The variation trend of RSEI was significant and the trend of obvious improvement is dominant.The overall spatial distribution pattern of RSEI is'high in the south and low in the north’,and the MK test (p<0.05) pixels accounted for 77.89%,66.75% of the pixels significantly improved,and mainly distributed in Yan'an City and Yulin City in northern Shaanxi Province,while significantly degraded pixels accounted for 11.08%,mainly distributed in Guanzhong Plain,Qinba Mountain and other places.Hurst index showed that the future trend of RSEI was mainly anti-persistence,46.04% of pixels would change from improvement to future degradation,and 29.33% of pixels would continue to improve.(3) RSEI was positively correlated with both air temperature and precipitation,and the influence of precipitation was greater than that of air temperature.The regions with negative correlation with human activities were concentrated in Xi'an urban agglomeration and central urban region of northern Shaanxi,and the correlations was significant (p<0.05),among the pixels,night light index (36.83%)> Precipitation (18.38%)> Temperature (7.65%).Among all land use conversion types,RSEI increased at the highest rate (0.84%/a) in the area of returning farmland to forest or grassland,while RSEI continued to decrease (0.23%/a) in the area of converting farmland to construction,reflecting the positive and negative correlation of human activities on ecological environment quality.The results fill the gap of long-term ecological environment dynamic monitoring in Shaanxi Province,and provide the basis for ecological governance and green development of the Yellow River basin. |
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