沁河流域植被覆盖时空分异特征
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摘要
以4期Landsat TM/OLI为遥感数据源,采用像元二分模型估算植被覆盖度,运用转移矩阵、地学信息图谱和重心迁移模型分析1993—2016年沁河流域植被覆盖的时空演变特征;并结合地形数据分析海拔、坡度和坡向上植被覆盖度的空间响应规律。结果表明:沁河流域植被覆盖度呈北高南低的空间分布特征,且高等级覆盖的植被主要由低等级覆盖的植被转化而来; 1993—2016年,沁河流域植被覆盖度呈不显著波动上升趋势,显著改善(55.99%)和轻微改善(10.13%)之和远大于显著退化(7.31%)和轻微退化(4.59%)之和,反映了良好的植被状况;沁河流域植被覆盖度重心整体表现为向南偏东迁移2.05 km,其中较高和高植被覆盖迁移最为明显;沁河流域植被覆盖度与海拔、坡度呈显著正相关,显著改善面积占比随高程、坡度的增加呈先增加后减小趋势,坡向在东北、西北和西南方向为优势地形位。研究结果有助于为该流域水土流失治理和生态环境的恢复提供决策依据。
With four images of Landsat TM/OLI as data sources,fractional vegetation coverage(FVC) in Qinhe Basin was estimated by dimidiating pixel model,and the spatiotemporal changes of vegetation patterns from 1993 to 2016 were analyzed using transition matrix,geo-spectrum and center of gravity migration model.The spatial variation of FVC at different attitudes,slopes,and aspects were explored based on topographic factors.The results showed that,spatially,FVC was higher in the north and lower in the south,and the vegetation with higher FVC was mainly transformed from those with lower FVC.During 1993-2016,the FVC in the Qinhe Basin showed an increasing trend with no significant fluctuation.The sum of areas with significant improvement(55.99%) and slight improvement(10.13%) were greater than that of areas with significant degradation(7.31%) and slight degradation(4.59%),reflecting good vegetation conditions.The center of gravity for FVC was migrated toward the southeast with 2.05 km,with the migrations of higher and highest FVC being the most obvious.FVC values were significantly positively correlated with elevation and slope.The area with remarkable improvement increased and then decreased with elevation and slope.The favorable terrain of vegetation in aspect was the area of the northeast,northwest and southwest.Our results will be helpful to the control of soil and water losses and ecological restoration in the study area.
With four images of Landsat TM/OLI as data sources,fractional vegetation coverage(FVC) in Qinhe Basin was estimated by dimidiating pixel model,and the spatiotemporal changes of vegetation patterns from 1993 to 2016 were analyzed using transition matrix,geo-spectrum and center of gravity migration model.The spatial variation of FVC at different attitudes,slopes,and aspects were explored based on topographic factors.The results showed that,spatially,FVC was higher in the north and lower in the south,and the vegetation with higher FVC was mainly transformed from those with lower FVC.During 1993-2016,the FVC in the Qinhe Basin showed an increasing trend with no significant fluctuation.The sum of areas with significant improvement(55.99%) and slight improvement(10.13%) were greater than that of areas with significant degradation(7.31%) and slight degradation(4.59%),reflecting good vegetation conditions.The center of gravity for FVC was migrated toward the southeast with 2.05 km,with the migrations of higher and highest FVC being the most obvious.FVC values were significantly positively correlated with elevation and slope.The area with remarkable improvement increased and then decreased with elevation and slope.The favorable terrain of vegetation in aspect was the area of the northeast,northwest and southwest.Our results will be helpful to the control of soil and water losses and ecological restoration in the study area.
引文
毕如田,武俊娴,曹毅,等.2012.涑水河流域地形因子对植被指数变化的影响.中国农学通报,28(35):257-263.
陈效逑,王恒.2009.1982-2003年内蒙古植被带和植被覆盖度的时空变化.地理学报,64(1):84-94.
陈述彭,吕人伟,滕俊.1956.沁河流域的地貌.地理学报,11(2):159-183.
程国旗.2016.沁河流域生态环境问题分析及修复建议.山西水利,(7):10-11.
陈楠,李新国,刘彬.2017.基于像元二分模型的开都河流域下游绿洲植被动态变化.山东农业大学学报:自然科学版,48(2):199-202.
符静,秦建新,张猛,等.2016.2001-2013年洞庭湖流域植被覆盖度时空变化特征.地球信息科学学报,18(9):1209-1216.
高彦净,谢余初,钱大文,等.2015.甘肃白龙江流域植被覆盖度及景观格局变化.水土保持研究,22(1):181-187.
胡砚霞,黄进良,杜耘,等.2018.2000-2015年丹江口库区植被覆盖时空变化趋势及其成因分析.长江流域资源与环境,27(4):862-872.
李斌斌,李占斌,李鹏.2015.基于GIS与RS的大理河流域植被格局分形维数时空变化特征.农业工程学报,31(12):173-178.
李石华,金宝轩,周峻松,等.2017.抚仙湖流域植被覆盖度时空分异及其与坡度的关系.地域研究与开发,36(3):165-170.
吕晓,史洋洋,黄贤金,等.2016.江苏省土地利用变化的图谱特征.应用生态学报,27(4):1077-1084.
李光强,曾绍琴,邓敏,等.2013.重心转移曲线在时空演化模式表达中的应用.武汉大学学报:信息科学版,38(8):940-944.
李京京,吕哲敏,石小平,等.2016.基于地形梯度的汾河流域土地利用时空变化分析.农业工程学报,32(7):230-236.
穆少杰,刘建龙,陈奕兆,等.2012.2001-2010年内蒙古植被覆盖度时空变化特征.地理学报,67(9):1255-1268.
石玉琼,郑亚云,李团胜.2018.榆林地区2000-2014年NDVI时空变化.生态学杂志,37(1):211-218.
汤巧英,戚德辉,宋立旺,等.2017.基于GIS和RS的延河流域植被覆盖度与地形因子的相关性研究.水土保持研究,24(4):198-203.
王情,刘雪华,吕宝磊.2013.基于SPOT-VGT数据的流域植被覆盖动态变化及空间格局特征---以淮河流域为例.地理科学进展,32(2):270-277.
肖俊伟,毕如田,荆耀栋,等.2017.黄土高原煤炭开采对小流域植被动态变化的影响---以晋城市长河流域为例.中国农学通报,33(22):79-85.
张立峰,闫浩文,杨树文,等.2018.黑河流域植被覆盖变化及其对地形的响应.遥感信息,33(2):46-52.
张军.2017.丹江流域植被格局演变及其与水质响应关系研究(博士学位论文).西安:西安理工大学.
周伟,刚成诚,李建龙,等.2014.1982-2010年中国草地覆盖度的时空动态及其对气候变化的响应.地理学报,69(1):15-30.
周璟,刘永,郭怀成,等.2012.沁河流域水环境约束分区与景观格局优化.环境科学研究,25(5):481-488.
郑惠茹,罗红霞,邹扬庆,等.2016.基于地学信息图谱的重庆岩溶石漠化植被恢复演替研究.生态学报,36(19):6295-6307.
周亮,周成虎,杨帆,等.2017.2000-2011年中国PM时空演化特征及驱动因素解析.地理学报,72(11):2079-2092.
赵卓文,张连蓬,李行,等.2017.基于MOD13Q1数据的宁夏生长季植被动态监测.地理科学进展,36(6):741-752.
朱林富,谢世友,杨华,等.2017.基于MODIS EVI的重庆植被覆盖变化的地形效应.自然资源学报,32(12):2023-2033.
Gutman G,Ignatov A.1998.The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models.International Journal of Remote Sensing,19:1533-1543.
Li J,Peng S,Li Z.2017.Detecting and attributing vegetation changes on China’s Loess Plateau.Agricultural and Forest Meteorology,247:260-270.
Qu S,Wang L,Lin A,et al.2018.What drives the vegetation restoration in Yangtze River basin,China:Climate change or anthropogenic factors.Ecological Indicators,90:438-450.
Xu G,Zhang J,Li P,et al.2018.Vegetation restoration projects and their influence on runoff and sediment in China.Ecological Indicators,95:233-241.
陈效逑,王恒.2009.1982-2003年内蒙古植被带和植被覆盖度的时空变化.地理学报,64(1):84-94.
陈述彭,吕人伟,滕俊.1956.沁河流域的地貌.地理学报,11(2):159-183.
程国旗.2016.沁河流域生态环境问题分析及修复建议.山西水利,(7):10-11.
陈楠,李新国,刘彬.2017.基于像元二分模型的开都河流域下游绿洲植被动态变化.山东农业大学学报:自然科学版,48(2):199-202.
符静,秦建新,张猛,等.2016.2001-2013年洞庭湖流域植被覆盖度时空变化特征.地球信息科学学报,18(9):1209-1216.
高彦净,谢余初,钱大文,等.2015.甘肃白龙江流域植被覆盖度及景观格局变化.水土保持研究,22(1):181-187.
胡砚霞,黄进良,杜耘,等.2018.2000-2015年丹江口库区植被覆盖时空变化趋势及其成因分析.长江流域资源与环境,27(4):862-872.
李斌斌,李占斌,李鹏.2015.基于GIS与RS的大理河流域植被格局分形维数时空变化特征.农业工程学报,31(12):173-178.
李石华,金宝轩,周峻松,等.2017.抚仙湖流域植被覆盖度时空分异及其与坡度的关系.地域研究与开发,36(3):165-170.
吕晓,史洋洋,黄贤金,等.2016.江苏省土地利用变化的图谱特征.应用生态学报,27(4):1077-1084.
李光强,曾绍琴,邓敏,等.2013.重心转移曲线在时空演化模式表达中的应用.武汉大学学报:信息科学版,38(8):940-944.
李京京,吕哲敏,石小平,等.2016.基于地形梯度的汾河流域土地利用时空变化分析.农业工程学报,32(7):230-236.
穆少杰,刘建龙,陈奕兆,等.2012.2001-2010年内蒙古植被覆盖度时空变化特征.地理学报,67(9):1255-1268.
石玉琼,郑亚云,李团胜.2018.榆林地区2000-2014年NDVI时空变化.生态学杂志,37(1):211-218.
汤巧英,戚德辉,宋立旺,等.2017.基于GIS和RS的延河流域植被覆盖度与地形因子的相关性研究.水土保持研究,24(4):198-203.
王情,刘雪华,吕宝磊.2013.基于SPOT-VGT数据的流域植被覆盖动态变化及空间格局特征---以淮河流域为例.地理科学进展,32(2):270-277.
肖俊伟,毕如田,荆耀栋,等.2017.黄土高原煤炭开采对小流域植被动态变化的影响---以晋城市长河流域为例.中国农学通报,33(22):79-85.
张立峰,闫浩文,杨树文,等.2018.黑河流域植被覆盖变化及其对地形的响应.遥感信息,33(2):46-52.
张军.2017.丹江流域植被格局演变及其与水质响应关系研究(博士学位论文).西安:西安理工大学.
周伟,刚成诚,李建龙,等.2014.1982-2010年中国草地覆盖度的时空动态及其对气候变化的响应.地理学报,69(1):15-30.
周璟,刘永,郭怀成,等.2012.沁河流域水环境约束分区与景观格局优化.环境科学研究,25(5):481-488.
郑惠茹,罗红霞,邹扬庆,等.2016.基于地学信息图谱的重庆岩溶石漠化植被恢复演替研究.生态学报,36(19):6295-6307.
周亮,周成虎,杨帆,等.2017.2000-2011年中国PM时空演化特征及驱动因素解析.地理学报,72(11):2079-2092.
赵卓文,张连蓬,李行,等.2017.基于MOD13Q1数据的宁夏生长季植被动态监测.地理科学进展,36(6):741-752.
朱林富,谢世友,杨华,等.2017.基于MODIS EVI的重庆植被覆盖变化的地形效应.自然资源学报,32(12):2023-2033.
Gutman G,Ignatov A.1998.The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models.International Journal of Remote Sensing,19:1533-1543.
Li J,Peng S,Li Z.2017.Detecting and attributing vegetation changes on China’s Loess Plateau.Agricultural and Forest Meteorology,247:260-270.
Qu S,Wang L,Lin A,et al.2018.What drives the vegetation restoration in Yangtze River basin,China:Climate change or anthropogenic factors.Ecological Indicators,90:438-450.
Xu G,Zhang J,Li P,et al.2018.Vegetation restoration projects and their influence on runoff and sediment in China.Ecological Indicators,95:233-241.
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