2006—2016年岷江上游植被覆盖度时空变化及驱动力
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摘要
基于MODIS NDVI遥感数据,采用像元二分模型估算岷江上游植被覆盖度,运用一元线性回归分析和稳定性分析方法,研究2006—2016年岷江上游植被覆盖度时空变化格局及稳定性,并分段讨论2008年"5.12汶川地震"对岷江上游植被的破坏程度以及震后植被恢复情况,利用地理探测器模型对岷江上游植被覆盖度影响因子及影响力进行探测,分析岷江上游植被覆盖度变化驱动力。结果表明:(1)2006—2016年岷江上游植被覆盖整体状况良好,植被覆盖总体情况较为稳定,多年平均植被覆盖度为0.79,植被覆盖度大于0.8的区域占整个岷江上游地区面积的69%。(2)2008年"5.12汶川地震"给整个岷江上游植被造成了严重的破坏,植被覆盖度退化区域面积为14013.41 km~2,占整个岷江上游面积的57%,2008—2016年岷江上游植被恢复状况良好,植被覆盖度改善区域面积为17390.69 km~2,占整个岷江上游面积的71%,岷江上游植被覆盖度已经超过震前水平。(3)岷江上游植被覆盖度主要受海拔、气温、土壤类型、降水4个因子的影响,其解释力均在40%以上;地貌类型、植被类型的解释力在20%—40%之间;坡度、坡向的解释力均小于1%。
Based on moderate resolution imaging spectroradiometer(MODIS) normalized difference vegetation index(NDVI) remote sensing data, the fractional vegetation cover in the upper reaches of Minjiang River was estimated using a pixel dichotomy model. Furthermore, the temporal and spatial variation pattern and stability of the fractional vegetation cover in the upper reaches of Minjiang River from 2006 to 2016 were studied using univariate linear regression and stability analyses. The damage degree of the vegetation in the upper reaches of Minjiang River and the vegetation restoration after the earthquake are discussed in sections. The influencing factors of fractional vegetation cover in the upper reaches of Minjiang River were detected using the Geographic detector model. The driving force of vegetation cover change in the upper reaches of Minjiang River was analyzed. The results showed the following.(1) The fractional vegetation cover in the upper reaches of Minjiang River from 2006 to 2016 was good, and the overall fractional vegetation cover was stable. The annual average fractional vegetation cover was 0.79, and the area with fractional vegetation cover > 0.8 accounted for 69% of the total area of the upper reaches of the Minjiang River.(2) The "5.12 Wenchuan earthquake" in 2008 seriously damaged the vegetation in the upper reaches of Minjiang River. The degraded area of fractional vegetation cover was 14013.41 km~2, which accounted for 57% of the total area of the upper reaches of the Minjiang River.The vegetation restoration condition in the upper reaches of Minjiang River from 2008 to 2016 was good.The area of fractional vegetation cover improvement was 17390.69 km~2, which accounted for 71% of the total area of the upper reaches of the Minjiang River. The fractional vegetation cover in the upper reaches of Minjiang River exceeded the pre-earthquake level.(3) The fractional vegetation cover in the upper reaches of Minjiang River was mainly affected by four factors: altitude, temperature, agrotype, and precipitation. Its explanatory power was > 40%, the interpretation of the Geomorphic type and vegetation types was between 20% and 40%, and the interpretation of slope and aspect was < 1%.
Based on moderate resolution imaging spectroradiometer(MODIS) normalized difference vegetation index(NDVI) remote sensing data, the fractional vegetation cover in the upper reaches of Minjiang River was estimated using a pixel dichotomy model. Furthermore, the temporal and spatial variation pattern and stability of the fractional vegetation cover in the upper reaches of Minjiang River from 2006 to 2016 were studied using univariate linear regression and stability analyses. The damage degree of the vegetation in the upper reaches of Minjiang River and the vegetation restoration after the earthquake are discussed in sections. The influencing factors of fractional vegetation cover in the upper reaches of Minjiang River were detected using the Geographic detector model. The driving force of vegetation cover change in the upper reaches of Minjiang River was analyzed. The results showed the following.(1) The fractional vegetation cover in the upper reaches of Minjiang River from 2006 to 2016 was good, and the overall fractional vegetation cover was stable. The annual average fractional vegetation cover was 0.79, and the area with fractional vegetation cover > 0.8 accounted for 69% of the total area of the upper reaches of the Minjiang River.(2) The "5.12 Wenchuan earthquake" in 2008 seriously damaged the vegetation in the upper reaches of Minjiang River. The degraded area of fractional vegetation cover was 14013.41 km~2, which accounted for 57% of the total area of the upper reaches of the Minjiang River.The vegetation restoration condition in the upper reaches of Minjiang River from 2008 to 2016 was good.The area of fractional vegetation cover improvement was 17390.69 km~2, which accounted for 71% of the total area of the upper reaches of the Minjiang River. The fractional vegetation cover in the upper reaches of Minjiang River exceeded the pre-earthquake level.(3) The fractional vegetation cover in the upper reaches of Minjiang River was mainly affected by four factors: altitude, temperature, agrotype, and precipitation. Its explanatory power was > 40%, the interpretation of the Geomorphic type and vegetation types was between 20% and 40%, and the interpretation of slope and aspect was < 1%.
引文
[1] 陈效逑, 王恒. 1982—2003年内蒙古植被带和植被覆盖度的时空变化. 地理学报, 2009, 64(1): 84-94.
[2] Wang Q, Zhang Q P, Zhou W. Grassland coverage changes and analysis of the driving forces in Maqu County. Physics Procedia, 2012, 33: 1292-1297.
[3] 任志远, 李晶. 陕南秦巴山区植被生态功能的价值测评. 地理学报, 2003, 58(4): 503-511.
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[5] 赵丽红, 王屏, 欧阳勋志, 吴志伟. 南昌市植被覆盖度时空演变及其对非气候因素的响应. 生态学报, 2016, 36(12): 3723-3733.
[6] 赵舒怡, 宫兆宁, 刘旭颖. 2001-2013年华北地区植被覆盖度与干旱条件的相关分析. 地理学报, 2015, 70(5): 717-729.
[7] 甘春英, 王兮之, 李保生, 梁钊雄, 李志文, 温小浩. 连江流域近18年来植被覆盖度变化分析. 地理科学, 2011, 31(8): 1019-1024.
[8] Pabi O. Understanding land-use/cover change process for land and environmental resources use management policy in Ghana. GeoJournal, 2007, 68(4): 369-383.
[9] Gong Z N, Zhao S Y, Gu J Z. Correlation analysis between fractional vegetation cover and climate drought conditions in North China during 2001-2013. Journal of Geographical Sciences, 2017, 27(2): 143-160.
[10] 高海东, 庞国伟, 李占斌, 程圣东. 黄土高原植被恢复潜力研究. 地理学报, 2017, 72(5): 863-874.
[11] 阿多, 赵文吉, 宫兆宁, 张敏, 范云豹. 1981—2013华北平原气候时空变化及其对植被覆盖度的影响. 生态学报, 2017, 37(2): 576-592.
[12] 刘海猛, 方创琳, 黄解军, 朱向东, 周艺, 王振波, 张蔷. 京津冀城市群大气污染的时空特征与影响因素解析. 地理学报, 2018, 73(1): 177-191.
[13] 穆少杰, 李建龙, 陈奕兆, 刚成诚, 周伟, 居为民. 2001-2010年内蒙古植被覆盖度时空变化特征. 地理学报, 2012, 67(9): 1255-1268.
[14] 彭文甫, 王广杰, 周介铭, 徐新良, 罗怀良, 赵景峰, 杨存建. 基于多时相Landsat5/8影像的岷江汶川-都江堰段植被覆盖动态监测. 生态学报, 2016, 36(7): 1975-1988.
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[16] 贾坤, 姚云军, 魏香琴, 高帅, 江波, 赵祥. 植被覆盖度遥感估算研究进展. 地球科学进展, 2013, 28(7): 774-782.
[17] 郑朝菊, 曾源, 赵玉金, 赵旦, 吴炳方. 近15年中国西南地区植被覆盖度动态变化. 国土资源遥感, 2017, 29(3): 128-136.
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[19] 朱敬芳, 邢白灵, 居为民, 朱高龙, 柳艺博. 内蒙古草原植被覆盖度遥感估算. 植物生态学报, 2011, 35(6): 615-622.
[20] Lagomasino D, Price R M, Whitman D, Melesse A, Oberbauer S F. Spatial and temporal variability in spectral-based surface energy evapotranspiration measured from Landsat 5TM across two mangrove ecotones. Agricultural and Forest Meteorology, 2015, 213: 304-316.
[21] 苗正红, 刘志明, 王宗明, 宋开山, 任春颖, 杜嘉, 曾丽红. 基于MODIS NDVI的吉林省植被覆盖度动态遥感监测. 遥感技术与应用, 2010, 25(3): 387-393.
[22] Camacho-De Coca F, Garcia-Haro F J, Gilabert M A, Meliá J. Vegetation cover seasonal changes assessment from TM imagery in a semi-arid landscape. International Journal of Remote Sensing, 2004, 25(17): 3451-3476.
[23] Jiménez-Muňoz J C, Sobrino J A, Plaza A, Guanter L, Moreno J, Martinez P. Comparison between fractional vegetation cover retrievals from vegetation indices and spectral mixture analysis: case study of PROBA/CHRIS data over an agricultural area. Sensors, 2009, 9(2): 768-793.
[24] 李登科,范建忠,王娟.陕西省植被覆盖度变化特征及其成因.应用生态学报,2010,21(11):2896-2903.
[25] 刘颖, 邓伟, 宋雪茜, 周俊. 基于地形起伏度的山区人口密度修正——以岷江上游为例. 地理科学, 2015, 35(4): 464-470.
[26] Bian J H, Li A N, Song M Q, Ma L Q, Jiang J G. Reconstruction of NDVI time-series datasets of MODIS based on Savitzky-Golay filter. Journal of Remote Sensing, 2010, 14(4): 725-741.
[27] Stow D, Petersen A, Hope A, Engstrom R, Coulter L. Greenness trends of Arctic tundra vegetation in the 1990s: comparison of two NDVI data sets from NOAA AVHRR systems. International Journal of Remote Sensing, 2007, 28(21): 4807-4822.
[28] 何宝忠, 丁建丽, 张喆, 阿布都瓦斯提·吾拉木. 新疆植被覆盖度趋势演变实验性分析. 地理学报, 2016, 71(11): 1948-1966.
[29] 马娜, 胡云锋, 庄大方, 张学利. 基于遥感和像元二分模型的内蒙古正蓝旗植被覆盖度格局和动态变化. 地理科学, 2012, 32(2): 251-256.
[30] 李苗苗, 吴炳方, 颜长珍, 周为峰. 密云水库上游植被覆盖度的遥感估算. 资源科学, 2004, 26(4): 153-159.
[31] 刘宪锋, 杨勇, 任志远, 林志慧. 2000—2009年黄土高原地区植被覆盖度时空变化. 中国沙漠, 2013, 33(4): 1244-1249.
[32] 吴志杰, 何国金, 王猛猛, 傅娇凤, 邹丹. 南方丘陵区植被覆盖度遥感估算与时空变化研究——以福建省永定县为例. 遥感技术与应用, 2016, 31(6): 1201-1208.
[33] 张学玲, 张莹, 牛德奎, 张文元, 李志, 李真真, 郭晓敏. 基于TM NDVI的武功山山地草甸植被覆盖度时空变化研究. 生态学报, 2018, 38(7): 2414-2424.
[34] 祝萍, 黄麟, 肖桐, 王军邦. 中国典型自然保护区生境状况时空变化特征. 地理学报, 2018, 73(1): 92-103.
[35] 李卓, 孙然好, 张继超, 张翀. 京津冀城市群地区植被覆盖动态变化时空分析. 生态学报, 2017, 37(22): 7418-7426.
[36] 李佳洺, 陆大道, 徐成东, 李扬, 陈明星. 胡焕庸线两侧人口的空间分异性及其变化. 地理学报, 2017, 72(1): 148-160.
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[2] Wang Q, Zhang Q P, Zhou W. Grassland coverage changes and analysis of the driving forces in Maqu County. Physics Procedia, 2012, 33: 1292-1297.
[3] 任志远, 李晶. 陕南秦巴山区植被生态功能的价值测评. 地理学报, 2003, 58(4): 503-511.
[4] 孟婷婷, 倪健, 王国宏. 植物功能性状与环境和生态系统功能. 植物生态学报, 2007, 31(1): 150-165.
[5] 赵丽红, 王屏, 欧阳勋志, 吴志伟. 南昌市植被覆盖度时空演变及其对非气候因素的响应. 生态学报, 2016, 36(12): 3723-3733.
[6] 赵舒怡, 宫兆宁, 刘旭颖. 2001-2013年华北地区植被覆盖度与干旱条件的相关分析. 地理学报, 2015, 70(5): 717-729.
[7] 甘春英, 王兮之, 李保生, 梁钊雄, 李志文, 温小浩. 连江流域近18年来植被覆盖度变化分析. 地理科学, 2011, 31(8): 1019-1024.
[8] Pabi O. Understanding land-use/cover change process for land and environmental resources use management policy in Ghana. GeoJournal, 2007, 68(4): 369-383.
[9] Gong Z N, Zhao S Y, Gu J Z. Correlation analysis between fractional vegetation cover and climate drought conditions in North China during 2001-2013. Journal of Geographical Sciences, 2017, 27(2): 143-160.
[10] 高海东, 庞国伟, 李占斌, 程圣东. 黄土高原植被恢复潜力研究. 地理学报, 2017, 72(5): 863-874.
[11] 阿多, 赵文吉, 宫兆宁, 张敏, 范云豹. 1981—2013华北平原气候时空变化及其对植被覆盖度的影响. 生态学报, 2017, 37(2): 576-592.
[12] 刘海猛, 方创琳, 黄解军, 朱向东, 周艺, 王振波, 张蔷. 京津冀城市群大气污染的时空特征与影响因素解析. 地理学报, 2018, 73(1): 177-191.
[13] 穆少杰, 李建龙, 陈奕兆, 刚成诚, 周伟, 居为民. 2001-2010年内蒙古植被覆盖度时空变化特征. 地理学报, 2012, 67(9): 1255-1268.
[14] 彭文甫, 王广杰, 周介铭, 徐新良, 罗怀良, 赵景峰, 杨存建. 基于多时相Landsat5/8影像的岷江汶川-都江堰段植被覆盖动态监测. 生态学报, 2016, 36(7): 1975-1988.
[15] 程红芳, 章文波, 陈锋. 植被覆盖度遥感估算方法研究进展. 国土资源遥感, 2008, (1): 13-18.
[16] 贾坤, 姚云军, 魏香琴, 高帅, 江波, 赵祥. 植被覆盖度遥感估算研究进展. 地球科学进展, 2013, 28(7): 774-782.
[17] 郑朝菊, 曾源, 赵玉金, 赵旦, 吴炳方. 近15年中国西南地区植被覆盖度动态变化. 国土资源遥感, 2017, 29(3): 128-136.
[18] Zhang Y J, Zhai J, Ma H P, Li Z L, Rahaman M H, Dai Y G. Spatio-temporal variation of fractional fractional vegetation cover and response to climatic factors in Three Gorges Reservoir area from 2010 to 2014. IOP Conference Series: Earth and Environmental Science, 2017, 94: 012126.
[19] 朱敬芳, 邢白灵, 居为民, 朱高龙, 柳艺博. 内蒙古草原植被覆盖度遥感估算. 植物生态学报, 2011, 35(6): 615-622.
[20] Lagomasino D, Price R M, Whitman D, Melesse A, Oberbauer S F. Spatial and temporal variability in spectral-based surface energy evapotranspiration measured from Landsat 5TM across two mangrove ecotones. Agricultural and Forest Meteorology, 2015, 213: 304-316.
[21] 苗正红, 刘志明, 王宗明, 宋开山, 任春颖, 杜嘉, 曾丽红. 基于MODIS NDVI的吉林省植被覆盖度动态遥感监测. 遥感技术与应用, 2010, 25(3): 387-393.
[22] Camacho-De Coca F, Garcia-Haro F J, Gilabert M A, Meliá J. Vegetation cover seasonal changes assessment from TM imagery in a semi-arid landscape. International Journal of Remote Sensing, 2004, 25(17): 3451-3476.
[23] Jiménez-Muňoz J C, Sobrino J A, Plaza A, Guanter L, Moreno J, Martinez P. Comparison between fractional vegetation cover retrievals from vegetation indices and spectral mixture analysis: case study of PROBA/CHRIS data over an agricultural area. Sensors, 2009, 9(2): 768-793.
[24] 李登科,范建忠,王娟.陕西省植被覆盖度变化特征及其成因.应用生态学报,2010,21(11):2896-2903.
[25] 刘颖, 邓伟, 宋雪茜, 周俊. 基于地形起伏度的山区人口密度修正——以岷江上游为例. 地理科学, 2015, 35(4): 464-470.
[26] Bian J H, Li A N, Song M Q, Ma L Q, Jiang J G. Reconstruction of NDVI time-series datasets of MODIS based on Savitzky-Golay filter. Journal of Remote Sensing, 2010, 14(4): 725-741.
[27] Stow D, Petersen A, Hope A, Engstrom R, Coulter L. Greenness trends of Arctic tundra vegetation in the 1990s: comparison of two NDVI data sets from NOAA AVHRR systems. International Journal of Remote Sensing, 2007, 28(21): 4807-4822.
[28] 何宝忠, 丁建丽, 张喆, 阿布都瓦斯提·吾拉木. 新疆植被覆盖度趋势演变实验性分析. 地理学报, 2016, 71(11): 1948-1966.
[29] 马娜, 胡云锋, 庄大方, 张学利. 基于遥感和像元二分模型的内蒙古正蓝旗植被覆盖度格局和动态变化. 地理科学, 2012, 32(2): 251-256.
[30] 李苗苗, 吴炳方, 颜长珍, 周为峰. 密云水库上游植被覆盖度的遥感估算. 资源科学, 2004, 26(4): 153-159.
[31] 刘宪锋, 杨勇, 任志远, 林志慧. 2000—2009年黄土高原地区植被覆盖度时空变化. 中国沙漠, 2013, 33(4): 1244-1249.
[32] 吴志杰, 何国金, 王猛猛, 傅娇凤, 邹丹. 南方丘陵区植被覆盖度遥感估算与时空变化研究——以福建省永定县为例. 遥感技术与应用, 2016, 31(6): 1201-1208.
[33] 张学玲, 张莹, 牛德奎, 张文元, 李志, 李真真, 郭晓敏. 基于TM NDVI的武功山山地草甸植被覆盖度时空变化研究. 生态学报, 2018, 38(7): 2414-2424.
[34] 祝萍, 黄麟, 肖桐, 王军邦. 中国典型自然保护区生境状况时空变化特征. 地理学报, 2018, 73(1): 92-103.
[35] 李卓, 孙然好, 张继超, 张翀. 京津冀城市群地区植被覆盖动态变化时空分析. 生态学报, 2017, 37(22): 7418-7426.
[36] 李佳洺, 陆大道, 徐成东, 李扬, 陈明星. 胡焕庸线两侧人口的空间分异性及其变化. 地理学报, 2017, 72(1): 148-160.
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