重庆石漠化和非石漠化区植被绿度时空变化特征

李慧; 魏兴萍; 蔡云丽; 陈诗蝶; 李良鑫

doi:10.13870/j.cnki.stbcxb.2024.03.037

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重庆石漠化和非石漠化区植被绿度时空变化特征

更新时间：2025-03-12

- 重庆石漠化和非石漠化区植被绿度时空变化特征
- Spatial and Temporal Variation Characteristics of Vegetation Greenness in Rocky Desertification and Non-rocky Desertification Areas of Chongqing
- 水土保持学报 2024年38卷第3期页码：288-297
- 作者机构：
  
  1. 重庆师范大学地理与旅游学院,重庆,401331
  2. 长江上游湿地科学研究重庆市重点实验室,重庆,401331
  3. 三峡库区地表生态过程重庆市野外科学观测研究站,重庆,401331
- 作者简介：
  
  [ "李慧(1999—),女,山东济宁人,硕士研究生,主要从事生态系统服务和生态保护研究。E-mail:lh24253153@126.com" ]
- 基金信息：
  
  重庆市自然科学基金项目(cstc2021jcyj-msxmX0616)
- DOI：10.13870/j.cnki.stbcxb.2024.03.037
  中图分类号： S171.1
- 纸质出版：2024
- 稿件说明：
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李慧, 魏兴萍, 蔡云丽, 等. 重庆石漠化和非石漠化区植被绿度时空变化特征[J]. 水土保持学报, 2024,38(3):288-297.

LI Hui, WEI Xingping, CAI Yunli, et al. Spatial and Temporal Variation Characteristics of Vegetation Greenness in Rocky Desertification and Non-rocky Desertification Areas of Chongqing[J]. 2024, 38(3): 288-297.
李慧, 魏兴萍, 蔡云丽, 等. 重庆石漠化和非石漠化区植被绿度时空变化特征[J]. 水土保持学报, 2024,38(3):288-297. DOI： 10.13870/j.cnki.stbcxb.2024.03.037.

LI Hui, WEI Xingping, CAI Yunli, et al. Spatial and Temporal Variation Characteristics of Vegetation Greenness in Rocky Desertification and Non-rocky Desertification Areas of Chongqing[J]. 2024, 38(3): 288-297. DOI： 10.13870/j.cnki.stbcxb.2024.03.037.

摘要

[目的] 为研究重庆岩溶石漠化和非石漠化地区植被绿度时空变化特征及其对土地利用类型的响应

有利于指导岩溶地区植被生态恢复的影响。[方法] 基于植被叶面积指数(LAI)及土地利用类型数据

采用趋势分析和Hurst指数分析石漠化和非石漠化地区植被绿度的时空演变特征

利用土地利用转移矩阵定量分析土地利用变化对植被绿度的影响。[结果] (1)石漠化和非石漠化地区的植被绿度整体呈增加趋势

分别在2007年和2012年达到最大绿度

绿度值为1.36和1.69

年平均增速为0.014和0.012。(2)石漠化和非石漠化地区植被绿度动态变化趋向良好

改善趋势面积占比分别为86.84%

87.04%

反持续改善趋势面积占比分别为52.82%

80.29%

是未来植被绿度主要变化趋势。(3)石漠化和非石漠化地区主要的土地利用类型是林地和耕地

且林地转化的耕地是植被绿度退化的主要发生区

耕地、灌木和草地转化的林地是植被绿度改善的主要发生区。(4)高LAI的土地利用类型转化为较低LAI土地利用类型导致LAI减小

降低植被绿度

较低LAI土地利用类型转化为高LAI土地利用类型

导致LAI增加。石漠化和非石漠化地区林地LAI转出总量减少最多

分别为11 902.01和4 442.18

转入总量增加最多分别为14 983.78和17 109.46;建设用地、水域和裸地面积较小

对LAI总量的影响不明显。[结论] 研究结果有助于揭示生态脆弱区植被绿度的变化特征及对土地利用变化的响应机制

为重庆市岩溶地区石漠化治理、生态安全和经济可持续发展提供科学依据。

Abstract

[Objective] The investigation of temporal and spatial variations in vegetation greenness and its response to different land use types in karst rocky desertification and non-rocky desertification areas in Chongqing is crucial for guiding ecological restoration efforts in karst regions. [Methods] This study utilized vegetation leaf area index (LAI) data and land use type information to conduct a trend analysis and Hurst index calculations

aimed at analyzing the temporal and spatial evolution characteristics of vegetation greenness in both rocky desertification and non-rocky desertification areas. Additionally

a land use transfer matrix was employed to quantitatively assess the impact of land use changes on vegetation greenness. [Results] (1) Vegetation greenness exhibited an increasing trend in both rocky desertification and non-rocky desertification areas

reaching maximum values of 1.36 and 1.69 respectively

with average annual growth rates of 0.014 and 0.012. (2) The dynamic changes observed in vegetation greenness within these areas demonstrated positive trends

with improvement trends accounting for 86.84% (rocky desertification) and 87.04% (non-rocky desertification). Furthermore

anti-continuous improvement trends were observed at rates of 52 .82% (rocky desertification) and 80.29% (non-rocky desertification)

indicating the primary change trajectory for future vegetation greenness. (3) The main land use types in both rocky and non-rocky desertification areas were woodland and cropland

and cropland converted from woodland was the main occurrence of degradation of vegetation greenness

while woodland converted from cropland

shrubs and grassland was the main occurrence of improvement of vegetation greenness. (4) The conversion of land use types with high leaf area index (LAI) to those with low LAI resulted in a decrease in LAI and vegetation greenness

while the conversion from low LAI land use types to high LAI land use types led to an increase in LAI. In areas affected by stony desertification and non-stony desertification

the maximum reduction in total LAI transfer was 11 902.04 and 4 442.18 respectively

whereas the maximum increase was 14 983.78 and 17 109.46 respectively. The impact on total LAI from construction land

water area

and bare land area was minimal and not significant. [Conclusion] These research findings contribute to understanding the change characteristics of vegetation greenness and its response mechanism towards land use changes in ecologically fragile areas. Furthermore

they provide a scientific basis for controlling rock desertification

ensuring ecological security

and promoting sustainable economic development in karst areas of Chongqing.

关键词

Keywords

references

QIU B, YAN X, CHEN C, et al. The impact of indicator selection on assessment of global greening[J].GIScience and Remote Sensing,2021,58(3):1-14.

曹晓云,祝存兄,陈国茜,等.2000—2021年柴达木盆地地表绿度变化及地形分异研究[J].生态环境学报,2022,31(6):1080-1090. CAO X Y, ZHU C X, CHEN G Q, et al. Surface greenness change and topographic differentiation over Qaidam Basin from 2000 to 2021[J].Ecology and Environmental Sciences, 2022,31(6):1080-1090.

安德帅,徐丹丹,刘月,等.高光谱与拟合多光谱植被指数反演武夷山亚高山草甸LAI的对比研究[J].生态科学,2022,41(5):187-196. AN D S, XU D D, LIU Y, et al. A comparison of the LAI retrieval for subalpine meadows in Wuyishan by hyperspectral and simulated multispectral vegetation index[J].Ecological Science,2022,41(5):187-196.

CHEN C, PARK T, WANG X, et al. China and India lead in greening of the world through land-use management[J].Nature Sustainability,2019,2(2):122-129.

姚雄,余坤勇,杨玉洁,等.基于随机森林模型的林地叶面积指数遥感估算[J].农业机械学报,2017,48(5):159-166. YAO X, XU K Y, YANG Y J, et al. Estimation offorest leaf area index based on random forest model and remote sensing data[J].Transactions of the Chinese Society for Agricultural Machinery,2017,48(5):159-166.

DE JONG R, DE BRVINS, DE WIT, et al. Analysis of monotonic greening and browning trends from global NDVI time-series[J].Remote Sensing of Environment: An Interdisciplinary Journal,2011,115(2):e236.

侯鑫, 赵杰,赵洪飞,等.2003—2018年干旱对中国森林绿度异常的影响[J].中国环境科学,2022,42(1):336-344. HOU X, ZHAO J, ZHAO H F, et al. Drought efects on forest geess anomalies in China from 2003 to 2018[J].China Environmental Science,2022,42(1):336-344.

张宇,余振,栾军伟,等.1982—2020年东北森林带植被绿度时空变化特征[J].生态学报,2023,43(16):6670-6681. ZHANG Y, YU Z, LUAN J W, et al. Spatiotemporal variations of vegetation greenness in the forest belt of Northeast China during 1982—2020[J].Acta Ecologica Sinica,2023,43(16):6670-6681.

牛小桃.半干旱区典型灌草植被叶面积指数动态变化的测量与应用[D]. 陕西杨凌:中国科学院大学(中国科学院教育部水土保持与生态环境研究中心),2023. NIU X T. Measurement and application of dynamics in leaf area index of typical shrubs and grasses in a semiarid region[D]. Yangling, Shaanxi: University of Chinese Academy of Sciences (Institute of Soil and Water Conservation, Chinese Academy of Science and Ministry of Education),2023.

董庆栋,陈超男,殷浩然,等.秦巴山地植被绿度特征及其对地表水热的响应[J].生态学报,2023,43(3):1090-1101. DONG Q D, CHEN C N, YIN H R, et al. Vegetation greenness characteristics in Qinling-Daba Mountains and its response to surface hydrothermal[J].Acta Ecologica Sinica,2023,43(3):1090-1101.

王福海,陈丹.基于RS和GIS的土地利用变化时空特征研究:以重庆主城区为例[J].重庆理工大学学报(自然科学),2016,30(7):78-85. WANG F H, CHEN D. Study on spatial-temporal characteristics of land use change in main urban area of Chongqing about 30 years based on RS and GIS[J].Journal of Chongqing University of Technology(Natural Science),2016,30(7):78-85.

王彦芳,裴宏伟,赵超.河北坝上地区2000—2019年植被绿度动态及其土地利用/覆被变化归因分析[J].水土保持通报,2021,41(6):345-352. WANG Y F, PEI H W, ZHAO C. Vegetation greenness change and its attribution related to land use and land cover change in bashang area of Hebei province during 2000—2019[J].Bulletin of Soil and Water Conservation,2021,41(6):345-352.

池金洺,刘殿君,于洋,等.黄河流域十大孔兑土地利用变化的土壤侵蚀效应[J].泥沙研究2023,48(6):16-23. CHI J M, LIU D J, YU Y, et al. Effects of land-use changes on soil erosion in Ten Tributaries of the Yellow River Basin[J].Journal of Sediment Research,2023,48(6):16-23.

付宇佳,刘晓煌,孙兴丽,等.近30年西北内陆荒漠资源大区土地利用驱动下生态系统碳储量时空变化.地质通报,1-17.http://kns.cnki.net/kcms/detail/11.4648.P.20230902.1315.002.html. FU Y J, LIU X H,SUN X L, et al. Spatial-temporal variation of ecosystem carbon storage driven by land use in northwest Inland desert resource region in recent 30 years.Geological Bulletin of China,1-17.http://kns.cnki.net/kcms/detail/11.4648.P.20230902.1315.002.html.

李威,吕思思,赵祖伦,等.土地利用对流域水源涵养及水质净化的影响:以乌江流域为例[J].生态学报,2023,43(20):8375-8389. LI W, LÜ S S, ZHAO Z L, et al. Impact of land use change on watershed water conservation and water quality purification service: A case study of Wujiang River Basin[J].Acta Ecologica Sinica,2023,43(20):8375-8389.

WANG W, SUN L, LUO Y. Changes in vegetation greenness in the upper and middle reaches of the Yellow River Basin over 2000—2015[J].Sustainability,2019,11(7):e2176.

韩思淇,麻泽龙,庄文化,等.2000—2018年黄河源植被叶面积指数时空变化特征[J].灌溉排水学报,2019,38(12):57-62. HAN S Q, MA Z L, ZHUANG W H, et al. Spatial-temporal change of leaf area index(LAI) in the source region of the Yellow River during 2000—2018[J].Journal of Irrigation and Drainage,2019,38(12):57-62.

沈明潭,谭炳香,戚曌,等.滇东南喀斯特石漠化地区植被覆盖度时空变化特征研究:以砚山县为例[J].林业调查规划,2022,47(5):1-11. SHEN M T, TAN B X, QI Z, et al. Temporal and spatial variation characteristics of vegetation coverage in karst rocky desertification area of southeast Yunnan:A case study of Yanshan county[J].Forest Inventory and Planning,2022,47(5):1-11.

王一,郝利娜,赵美龄,等.2001—2018年重庆植被NDVI变化及其对气候因子和人类活动的响应[J].水土保持研究,2021,28(5):222-229. WANG Y,HAO L N, ZHAO M L, et al. Variation of vegetation NDVI and its response to climatic factors and human activities in Chongqing from 2001 to 2018[J].Research of Soil and Water Conservation,2021,28(5):222-229.

谢慧君,谢亚巍,曹聪,等.重庆市植被净初级生产力时空变化特征及驱动力分析[J].长江流域资源与环境,2023,32(12):2581-2597. XIE H J, XIE Y W, CAO C, et al. Spatial-temporal variation characteristics and driving forces of vegetation net primary productivity in Chongqing[J].Resources and Environment in the Yangtze Basin,2023,32(12):2581-2597.

朱林富,杨华.重庆巫山县喀斯特石漠化与土地覆被关系研究[J].重庆师范大学学报(自然科学版),2015,32(4):61-69. ZHU L F, YANG H. Study the relationship of rocky desertification and the land cover in karst area at Wushan County in Chongqing[J].Journal of Chongqing Normal University(Natural Science),2015,32(4):61-69.

管艳霞,龙晓泳,李维杰.重庆喀斯特地区NDVI变化的影响因素[J].西南农业学报,2021,34(1):165-173. GUAN Y X, LONG X Y, LI W J. Impactfactors of annual NDVI change in karst areas of Chongqing [J].Southwest China Journal of Agricultural Sciences, 2021,34(1):165-173.

吴娇.重庆市土地覆被变化及生态响应研究[D].重庆:重庆师范大学,2018. WU J. Study on land cover change and ecological response in Chongqing[D].Chongqing: Chongqing Normal University,2018.

李辉丹,史东梅,夏蕊,等.基于地理探测器的重庆坡耕地时空格局演变特征及驱动机制[J].农业工程学报,2022,38(12):280-290. LI H D, SHI D M,XIA R, et al. Evolution characteristics and driving mechanism for the spatiotemporal pattern of sloping farmland in Chongqing based on geodetector[J].Transactions of the Chinese Society of Agricultural Engineering,2022,38(12):280-290.

刘婷婷,袁燕萍,叶许春.城市化背景下重庆主城区植被净初级生产力变化特征及其影响因素.生态学杂志,1-12.http://kns.cnki.net/kcms/detail/21.1148.Q.20231019.1527.006.html. LIU T T, YUAN Y P, YE X C. Change characteristics and influencing factors of vegetation net primary productivity change in the main urban area of Chongqing under urbanization[J].Chinese Journal of Ecology,1-12.http://kns.cnki.net/kcms/detail/21.1148.Q.20231019.1527.006.html.

徐勇,郑志威,郭振东,等.2000—2020年长江流域植被NDVI动态变化及影响因素探测[J].环境科学,2022,43(7):3730-3740. XU Y, ZHENG Z W, GUO Z D, et al. Dynamic variation in vegetation cover and its influencing factor detection in the Yangtze River Basin from 2000 to 2020[J].Environmental Science,2022,43(7):3730-3740.

皮贵宁.贵州省植被LAI时空演变特征及其驱动力分析[D].贵州:贵州师范大学,2023. PI G N. Spatio-temporal evolution of vegetation LAI and its driving forces in Guizhou Province[D].Guizhou: Guizhou Normal University, 2023.

曾颖婷,李成,林艳,等.1982—2016年华东地区叶面积指数变化特征及与气候因子的关系[J].干旱气象,2023,41(5):705-713. ZENG Y T, LI C, LIN Y, et al. Characteristics of LAI variation in east China and its relationship with climate factors from 1982 to 2016[J].Journal of Arid Meteorology,2023,41(5):705-713.

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