Spatiotemporal evolution and attribution of vegetation coverage in the peak - cluster depression basins
WANG Dong-hua1,2, TIAN Yi-chao1,2,3, ZHANG Ya-li2, HUANG Liang-liang1, ZHANG Qiang2, TAO Jin2, YANG Yong-wei2, LIN Jun-liang2
1. College of Environmental Science and Engineering, Guilin University of Technology, Guilin 541004, China; 2. School of Resources and Environment, Beibu Gulf University, Qinzhou 535011, China; 3. Key Laboratory of Marine Geographic Information Resources Development and Utilization in the Beibu Gulf, Beibu Gulf University, Qinzhou 535011, China
Abstract:In this paper, the pixel dichotomy model, coupled with the Theil-Sen Median trend, Mann-Kendall test and Hurst index, is used to characterize the vegetation coverage in the peak-cluster depression basins in Southwest Guangxi from 2000 to 2020, and finally the Geodetector is applied to quantify the driving factors. The results show that: (1) Interannual variations in vegetation cover in the basin demonstrate an increasing trend over the 21-year period, with an overall growth rate of 0.6754a-1(0.774a-1 in karst areas and 0.5751a-1 in non-karst areas); (2) There is a pattern of "high in the north and low in the east", in which 82.68% of the study area have a significant increase and only 0.61% show a significant decrease; (3) The Hurst index of regional vegetation coverage trends to be between 0~1, with an average value of 0.8207, showing a single peak deviation to the right and a trend of continuous improvement in the future; (4) In terms of driving mechanism, land use/cover (LULC) is the dominant factor of vegetation coverage in the whole study area; all drivers showed significant interactions on the spatial distribution of vegetation coverage, among which the interaction between LULC and population density (pop) was the strongest.
Afuye G A, Kalumba A M, Busayo E T, et al. A bibliometric review of vegetation response to climate change [J]. Environmental Science and Pollution Research, 2022,29(13):18578-18590.
[2]
聂 桐,董国涛,蒋晓辉,等.延安地区植被覆盖度时空变化及驱动力 [J]. 水土保持研究, 2021,28(5):340-346. Nie T, Dong G T, Jinag X H, et al. Spatiotemporal variation and driving forces of vegetation coverage in Yan'an area [J]. Research of Soil and Water Conservation, 2021,28(5):340-346.
[3]
Gitelson A A, Kaufman Y J, Stark R, et al. Novel algorithms for remote estimation of vegetation fraction [J]. Remote sensing of Environment, 2002,80(1):76-87.
[4]
章文波,符素华,刘宝元.目估法测量植被覆盖度的精度分析 [J]. 北京师范大学学报(自然科学版), 2001,37(3):402-408. Zhang W B, Fu S H,Liu B Y. Error assessment of visual estimation plant coverage [J]. Journal of Beijing Normal University (Natural Science), 2001,37(3):402-408.
[5]
孙红雨,王长耀,牛 铮,等.中国地表植被覆盖变化及其与气候因子关系──基于NOAA时间序列数据分析 [J]. 遥感学报, 1998, 2(3):204-210. Sun H Y, Wang C Y, Niu Z, et al. Analysis of the vegetation cover change and the relationship between NDVI and environmental factors by using NOAA time series data [J]. National Remote Sensing Bulletin, 1998,2(3):204-210.
[6]
Matsui T, Lakshmi V,Small E E The effects of satellite-derived vegetation cover variability on simulated land–atmosphere interactions in the NAMS [J]. Journal of Climate, 2005,18(1):21-40.
[7]
李 晶,刘乾龙,刘鹏宇.1998~2018年呼伦贝尔市植被覆盖度时空变化及驱动力分析 [J]. 生态学报, 2022,42(1):1-16. Li J, Liu Q L,Liu P Y. Spatio-temporal changes and driving forces of fraction of vegetation coverage in Hulunbuir (1998~2018) [J]. Acta Ecologica Sinica, 2022,42(1):1-16.
[8]
Qi J G, Marsett R C, Moran M S, et al. Spatial and temporal dynamics of vegetation in the San Pedro River basin area [J]. Agricultural and forest meteorology, 2000,105(1-3):55-68.
[9]
Leprieur C, Kerr Y H, Mastorchio S, et al. Monitoring vegetation cover across semi-arid regions: comparison of remote observations from various scales [J]. International Journal of Remote Sensing, 2000,21(2):281-300.
[10]
Clemente R H, Cerrillo R M N,Gitas I Z Monitoring post-fire regeneration in Mediterranean ecosystems by employing multitemporal satellite imagery [J]. International Journal of Wildland Fire, 2009,18(6):648-658.
[11]
马晓妮,任宗萍,谢梦瑶,等.基于地理探测器的砒砂岩区植被覆盖度环境驱动因子量化分析 [J]. 生态学报, 2022,42(8):1-11. Ma X N, Ren Z P, Xie M Y, et al. Quantitative analysis of environmental driving factors of vegetation coverage in the Pisha sandstone area based on geodetector [J]. Acta Ecologica Sinica, 2022,42(8):1-11.
[12]
乔雪梅,刘普幸,任 媛,等.基于遥感的黑河流域生态环境变化特征及成因分析 [J]. 中国环境科学, 2020,40(9):3962-3971. Qiao X M, Liu P X, Ren Y, et al. Analysis of the characteristics and driving factors of ecological environment changes in Heihe river basin based on remote sensing data [J]. China Environmental Science, 2020,40(9):3962-3971.
[13]
袁倩颖,马彩虹,文 琦,等.六盘山贫困区生长季植被覆盖变化及其对水热条件的响应 [J]. 国土资源遥感, 2021,33(2):220-227. Yuan Q Y, Ma C H, Wen Q, et al. Vegetation cover change and its response to water and heat conditions in the growing season in Liupanshan poverty— stricken area [J]. Remote Sensing for Natural Resources, 2021,33(2):220-227.
[14]
习慧鹏,王世杰,白晓永,等.西南典型喀斯特地区石漠化时空演变特征——以贵州省普定县为例 [J]. 生态学报, 2018,38(24):8919- 8933. Xi H P, Wang S J, Bai X Y, et al. Spatio-temporal characteristics of rocky desertification in typical Karst areas of Southwest China: A case study of Puding County, Guizhou Province [J]. Acta Ecologica Sinica, 2018,38(24):8919-8933.
[15]
靖娟利,王永锋.广西都安县石漠化景观格局的尺度效应 [J]. 桂林理工大学学报, 2015,35(2):330-334. Jing J L,Wang Y F. Scale effect of rocky desertification landscape pattern in Du'an county Guangxi [J]. Journal of Guilin University of Technology, 2015,35(2):330-334.
[16]
杨世凡,安裕伦.生态恢复背景下喀斯特地区植被覆盖的时空变化——以黔中地区为例 [J]. 地球与环境, 2014,42(3):404-412. Yang S F,An Y L. Spatial and temporal variations of vegetation coverage in karst areas under the background of ecological recovery: A case study in the central area of Guizhou Province [J]. Earth and Environment, 2014,42(3):404-412.
[17]
张 翀,白子怡,李学梅,等.2001~2018年黄土高原植被覆盖人为影响时空演变及归因分析 [J]. 干旱区地理, 2021,44(1):188-196. Zhang C, Bai Z Y, Li X M, et al. Spatio-temporal evolution and attribution analysis of human effects of vegetation cover on the Loess Plateau from 2001 to 2018 [J]. Arid Land Geography, 2021,44(1): 188-196.
[18]
田义超,陈志坤,梁铭忠.北部湾海岸带植被覆盖时空动态特征及未来趋势 [J]. 热带地理, 2014,34(1):76-86. Tian Y C, Chen Z K,Liang M Z. Temporal-spatial dynamic differences and future trends of the vegetation cover in the Beibu Gulf coastal zone [J]. Tropical Geography, 2014,34(1):76-86.
[19]
Tian Y C, Bai X Y, Wang S J, et al. Spatial-temporal changes of vegetation cover in Guizhou Province, Southern China [J]. Chinese Geographical Science, 2017,27(1):25-38.
[20]
张顾萍,陈国民,邵怀勇,等.近16年金沙江流域植被覆盖时空特征及其对气候的响应 [J]. 长江流域资源与环境, 2021,30(7):1638-1648. Zhang G P, Chen G M, Shao H Y, et al. Spatial-temporal characteristics of vegetation coverage and its response to climate from 2000 to 2015 in Jinsha river basin, China [J]. Resources and Environment in the Yangtze Basin, 2021,30(7):1638-1648.
[21]
陈 虹,郭兆成,贺 鹏.1988~2018年间洱海流域植被覆盖度时空变换特征探究 [J]. 自然资源遥感, 2021,33(2):116-123. Chen H, Guo Z C,He P. Spatial and temporal change characteristics of vegetation coverage in Erhai Lake basin during 1988~2018 [J]. Remote Sensing for Natural Resources, 2021,33(2):116-123.
[22]
邓晨晖,白红英,高 山,等.秦岭植被覆盖时空变化及其对气候变化与人类活动的双重响应 [J]. 自然资源学报, 2018,33(3):425-438. Deng C H, Bai H Y, Gao S, et al. Spatial-temporal variation of the vegetation coverage in Qinling Mountains and its dual response to climate change and human activities [J]. Journal of Natural Resources, 2018,33(3):425-438.
[23]
刘垚燚,曾 鹏,张 然,等.基于GEE和BRT的1984~2019年长三角生态绿色一体化发展示范区植被覆盖度变化 [J]. 应用生态学报, 2021,32(3):1033-1044. Liu Y Y, Zeng P, Zhang R, et al. Vegetation coverage change of the demonstration area of ecologically friendly development in the Yangtze River Delta, China based on GEE and BRT during 1984~2019 [J]. Chinese Journal of Applied Ecology, 2021,32(3):1033-1044.
[24]
孟 琪,武志涛,杜自强,等.基于地理探测器的区域植被覆盖度的定量影响——以京津风沙源区为例 [J]. 中国环境科学, 2021,41(2): 826-836. Meng Q, Wu Z T, Du Z Q, et al. Quantitative influence of regional fractional vegetation cover based on geodetector model —Take the Beijing-Tianjin sand source region as an example [J]. China Environmental Science, 2021,41(2):826-836.
[25]
同英杰,文彦君,张 翀.2003~2017年陕西省NDVI时空变化及其影响因素 [J]. 水土保持通报, 2020,40(3):155-162. Tong Y J, Wen Y J,Zhang C. Spatiotemporal variation of NDVl and its influence factors in Shaanxi Province during 2003~2017 [J]. Bulletin of Soil and Water Conservation, 2020,40(3):155-162.
[26]
肖建勇,王世杰,白晓永,等.喀斯特关键带植被时空变化及其驱动因素 [J]. 生态学报, 2018,38(24):8799-8812. Xiao J Y, Wang S J, Bai X Y, et al. Determinants and spatial-temporal evolution of vegetation coverage in the karst critical zone of South China [J]. Acta Ecologica Sinica, 2018,38(24):8799-8812.
[27]
Aguilar C, Zinnert J C, Polo M J, et al. NDVI as an indicator for changes in water availability to woody vegetation [J]. Ecological Indicators, 2012,23:290-300.
[28]
Myneni R B, Keeling C D, Tucker C J, et al. Increased plant growth in the northern high latitudes from 1981 to 1991 [J]. Nature, 1997,386 (6626):698-702.
[29]
Pouliot D, Latifovic R,Olthof I Trends in vegetation NDVI from 1km AVHRR data over Canada for the period 1985~2006 [J]. International Journal of Remote Sensing, 2009,30(1):149-168.
[30]
郭永强,王乃江,褚晓升,等.基于Google Earth Engine分析黄土高原植被覆盖变化及原因 [J]. 中国环境科学, 2019,39(11):4804-4811. Guo Y Q, Wang N J, Chu X S, et al. Analyzing vegetation coverage changes and its reasons on the Loess Plateau based on Google Earth Engine [J]. China Environmental Science, 2019,39(11):4804-4811.
[31]
王 欢,陈文波,何 蕾,等.鄱阳湖不同水文连通性子湖水生植被覆盖度对年际水位变化的响应 [J]. 应用生态学报, 2021,33(1):191- 200. Wang H, Chen W B, He L, et al. Responses of aquatic vegetation coverage to interannual variations of water level in different hydrologically connected sub-lakes of Poyang Lake, China [J]. Chinese Journal of Applied Ecology, 2021,33(1):191-200.
[32]
覃巧婷,陈建军,杨艳萍,等.黄河源植被时空变化及其对地形和气候的响应 [J]. 中国环境科学, 2021,41(8):3832-3841. Qin Q T, Chen J J, Yang Y P, et al. Spatiotemporal variations of vegetation and its response to topography and climate in the source region of the Yellow River [J]. China Environmental Science, 2021,41(8):3832-3841.
[33]
Chen T, Xia J, Zou L, et al. Quantifying the influences of natural factors and human activities on NDVI changes in the Hanjiang River Basin, China [J]. Remote Sensing, 2020,12(22):3780.
[34]
Peng W F, Kuang T T,Tao S Quantifying influences of natural factors on vegetation NDVI changes based on geographical detector in Sichuan, western China [J]. Journal of cleaner production, 2019,233: 353-367.
[35]
王劲峰,徐成东.地理探测器:原理与展望 [J]. 地理学报, 2017,72(1). Wang J F,Xu C D. Geodetector: Principle and prospective [J]. Acta Geographica Sinica, 2017,72(1).
[36]
李 飞,伊文超,阎维巍.从古地理学角度探讨广西石漠化分布特征 [J]. 古地理学报, 2013,15(1):135-142. Li F, Yi W C,Yan W W. Distribution of Guangxi karst rocky desertification by palaeogeographic approach [J]. Journal of Palaeogeography (Chinese Edition), 2013,15(1):135-142.
[37]
Foley J A, DeFries R, Asner G P, et al. Global consequences of land use [J]. science, 2005,309(5734):570-574.
[38]
吴泽燕,胡宝清,罗为群,等.近17年广西平果县植被覆盖度变化分析 [J]. 环境与可持续发展, 2017,42(1):140-143. Wu Z Y, Hu B Q, Luo W Q, et al. Changes of vegetation coverage in Pingguo County of Guangxi during recent 17years [J]. Environment and Sustainable Development, 2017,42(1):140-143.
[39]
杨艳萍,陈建军,覃巧婷,等.2000~2018年广西植被时空变化及其对地形、气候和土地利用的响应 [J]. 农业工程学报, 2021,37(17): 234-241. Yang Y P, Chen J J, Qin Q T, et al. Temporal and spatial variation of vegetation and its response to topography, climate and land use in Guangxi during 2000~2018 [J]. Transactions of the Chinese Society of Agricultural Engineering, 2021,37(17):234-241.
[40]
刘大元,张雪梅,岳跃民,等.基于Geodetector的广西喀斯特植被覆盖变化及其影响因素分析 [J]. 农业现代化研究, 2019,40(6):1038- 1047. Liu D Y, Zhang X M, Yue Y M, et al. Vegetation cover change and its influencing factors in karst regions of Guangxi based on Geodetector [J]. Research of Agricultural Modernization, 2019,40(6):1038-1047.
[41]
靖娟利,王永锋.漓江流域近15年遥感植被覆盖度f_(veg)变化特征 [J]. 桂林理工大学学报, 2014,34(2):260-265. Jing J L,Wang Y F. Vegetation coverage changes in the Lijiang river basin based on remote sensing in recent 15years [J]. Journal of Guilin University of Technology, 2014,34(2):260-265.
[42]
梁钊雄,王兮之,魏兴琥,等.基于TM影像的广西河池市岩溶地区植被覆盖度的动态变化研究 [J]. 中国岩溶, 2014,33(2):208-215. Liang Z X, Wang X Z, Wei X H, et al. Study of dynamic changes in fractional vegetation coverage in Hechi City in Guangxi karst regions based on TM images [J]. Carsologica Sinica, 2014,33(2):208-215.
[43]
高鹏文,阿里木江·卡斯木,赵永玉,等.1988~2018年哈密绿洲植被覆盖度时空变化及其驱动力 [J]. 水土保持通报, 2020,40(6):273-280. Gao P W, Kasim A, Zhao Y Y, et al. Spatial and temporal changes and driving forces of vegetation coverage in Hami Oasis during 1988~ 2018 [J]. Bulletin of Soil and Water Conservation, 2020,40(6):273- 280.
[44]
吴思佳,吴 伟,陈文惠,等.基于地理探测器的闽三角城市群植被覆盖时空变化及影响因素研究 [J]. 福建师范大学学报(自然科学版), 2019,35(5):81-88. Wu S J, Wu W, Chen W H, et al. Study on temporal and spatial changes of vegetation coverage and its influencing factors in the urban agglomeration of Min Delta based on the geographical detector method [J]. Journal of Fujian Normal University (Natural Science Edition), 2019,35(5):81-88.
[45]
杨海峰,翟国方.灾害风险视角下的城市安全评估及其驱动机制分析——以滁州市中心城区为例 [J]. 自然资源学报, 2021,36(9): 2368-2381. Yang H F,Zhai G F. Spatial assessment and driving mechanism of urban safety from the perspective of disaster risk: A case study of Chuzhou central city [J]. Journal of Natural Resources, 2021,36(9): 2368-2381.
[46]
吴 跃,周忠发,赵 馨,等.基于遥感计算云平台高原山区植被覆盖时空演变研究——以贵州省为例 [J]. 中国岩溶, 2020,39(2):196- 205. Wu Y, Zhou Z F, Zhao X, et al. Spatiotemporal variation of vegetation coverage in plateau mountainous areas based on remote sensing cloud computing platform: A case study of Guizhou Province [J]. Carsologica Sinica, 2020,39(2):196-205.
[47]
裴志林,杨勤科,王春梅,等.黄河上游植被覆盖度空间分布特征及其影响因素 [J]. 干旱区研究, 2019,36(3):546-555. Pei Z L, Yang Q K, Wang C M, et al. Spatial distribution of vegetation coverage and its affecting factors in the upper reaches of the Yellow River [J]. Arid Zone Research, 2019,36(3):546-555.
[48]
覃卫坚,李栋梁.近50a来广西各级降水气候变化特征分析 [J]. 自然资源学报, 2014,29(4):666-676. Qin W J,Li D L. A study on the climate change characteristics of all kinds of precipitation events in recent 50years of Guangxi [J]. Journal of Natural Resources, 2014,29(4):666-676.
[49]
顾羊羊,邹长新,乔旭宁,等.2000~2015年黔西南州植被覆盖时空变化及影响因素分析 [J]. 生态与农村环境学报, 2021,37(11):1413- 1422. Gu Y Y, Zou C X, Qiao X N, et al. Spatio-temporal variations of fractional vegetation coverage and influencing factors in Qianxi'nan Prefecture from 2000 to 2015 [J]. Journal of Ecology and Rural Environment, 2021,37(11):1413-1422.
[50]
张凯选,范鹏鹏,王军邦,等.西南喀斯特地区植被变化及其与气候因子关系研究 [J]. 生态环境学报, 2019,28(6):1080-1091. Zhang K X, Fan P P, Wang J B, et al. Study on vegetation changes and climate factors in a karst region of southwest China [J]. Ecology and Environmental Sciences, 2019,28(6):1080-1091.
[51]
田义超,梁铭忠.北部湾沿海地区植被覆盖对气温和降水的旬响应特征 [J]. 自然资源学报, 2016,31(3):488-502. Tian Y C, Liang M Z. The NDVI characteristics of vegetation and its ten-day response to temperature and precipitation in Beibu Gulf coastal region [J]. Journal of Natural Resources, 2016,31(3):488-502.
[52]
左丽媛,高江波.基于地理探测器的喀斯特植被NPP定量归因 [J]. 生态环境学报, 2020,29(4):686-694. Zuo L Y,Gao J B. Quantitative attribution analysis of NPP in karst peak cluster depression based on geographical detector [J]. Ecology and Environmental Sciences, 2020,29(4):686-694.