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生态学杂志 ›› 2023, Vol. 42 ›› Issue (4): 966-974.doi: 10.13292/j.1000-4890.202304.020

• 研究报告 • 上一篇    下一篇

不同海拔梯度南方丘陵山地带生态系统服务价值的时空演变

吴双1,2,马帅1,2,王慧勇1,2,王良杰1,2*,姜姜1,2


  

  1. 1南京林业大学南方现代林业协同创新中心, 南京林业大学, 南京 210037; 2江苏省水土保持与生态修复重点实验室, 南京林业大学, 南京 210037)

  • 出版日期:2023-04-03 发布日期:2023-04-06

Spatiotemporal variations of ecosystem service value in the hill and mountain belt of southern China across different altitude gradients.

WU Shuang1,2, MA Shuai1,2, WANG Huiyong1,2, WANG Liangjie1,2*, JIANG Jiang1,2#br#

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  1. (1Co-Innovation Center for Sustainable Forestry in Southern China of Nanjing Forestry University, College of Forestry, Nanjing Forestry University, Nanjing 210037, China; 2Jiangsu Provincial Key Laboratory of Soil Erosion and Ecological Restoration, Nanjing Forestry University, Nanjing 210037, China).

  • Online:2023-04-03 Published:2023-04-06

摘要: 探讨海拔梯度对生态系统服务价值空间分异的影响对实现生态系统可持续管理具有重要意义。本研究以南方丘陵山地带2000年和2015年的土地利用/覆被数据为基础,分析了南方丘陵山地带生态系统服务价值(ecosystem service value,ESV)的时空变化与海拔梯度特征。结果表明:2000—2015年,阔叶林、人工表面和裸地面积增加,针叶林、旱地、水田、灌木林面积下降;阔叶林、针叶林在T2海拔梯度(500~800 m)分布最多;2000—2015年,南方丘陵山地带ESV增加了64.83亿元,阔叶林和针叶林分别贡献33.41%、28.41%;单项ESV中,水文调节贡献最大,占总量的26.20%,粮食生产减少最多,减少了3.69亿元;ESV空间上呈现东西多、中部少的分布格局;海拔梯度上,单位面积ESV呈现先上升再下降的趋势,T2海拔梯度是转折地带,其生态系统服务价值占总价值的22.51%;2000—2015年各海拔梯度ESV呈增加趋势,T1海拔梯度(<500 m)的ESV增长最多,增加40.72亿元;地理探测结果表明,阔叶林百分比、人口密度和NDVI是影响ESV的主要因子;交互探测后,影响因子的解释能力显著增强。研究结果可为南方丘陵山地带生态系统格局优化和管控提供科学依据。


关键词: 土地利用/覆被, 生态系统服务价值, 海拔梯度, 南方丘陵山地带

Abstract: Understanding the spatial variations of ecosystem service value across the altitude gradient is of great significance for sustainable ecosystem management. Based on land use/cover data of 2000 and 2015 in the hill and mountain belt in southern China, we quantitatively analyzed the spatiotemporal variation in ESV and characteristics of altitude gradients in the hill and mountain belt. Compared with that in 2000, the area of broad-leaved forest, artificial surface and bare land areas increased in 2015, while the area of coniferous forest, dry land, paddy field, and shrub areas decreased. Broad-leaved forest and coniferous forest were concentrated between the T2 gradient (500-800 m). From 2000 to 2015, the ESV increased by 6.483 billion yuan in hilly areas of the hill and mountain belt, with broad-leaved forest and coniferous forest contributing to 33.41% and 28.41% of the total ESV, respectively. Among the single ESVs, the contribution of hydrological regulation was the largest, with a value of 26.20%. Grain production decreased the most, by 369 million yuan. Spatially, ESV was greater in the east-west and less in the central of this region. On the altitude gradient, the ESV per unit area showed a trend of increasing and then decreasing. T2 altitude was the turning point, with ecosystem service value accounting for 22.51% of the total. The ESV of each altitude gradient showed an increasing trend from 2000 to 2015, with the T1 altitude (<500 m) increasing the most by 4.072 billion yuan. The geographical detector showed that the percentage of broad-leaved forest, population density, and NDVI were the main factors affecting ESV. After interactive detection, the explanatory power of those influencing factors was significantly enhanced. The results can provide a scientific basis for the ecosystem optimization and management in the hill and mountain belt in southern China.


Key words: land use/cover, ecosystem service value, altitude gradient, southern hill and mountain belt.