2004-2015年湖北省植被NPP时空分布特征及其与气候因素关系
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摘要
为了探明湖北省植被NPP空间分布特征及其驱动机制,利用MOD17A3H NPP时序数据、土地覆盖类型产品MCD12Q1、气象数据和SRTM DEM地形数据等,采用线性趋势分析、相关系数等方法,分析了2004—2015年湖北省植被NPP时空分布特征,探讨了不同土地利用类型、不同地形条件下植被NPP分布及对气候因素的响应特征。结果显示:(1) 12年间,湖北省植被NPP总体呈上升趋势;植被NPP的空间分布大体呈东、西部山区高,中部略低的格局,全省植被NPP值大部介于400～600 g C/(m~2·a);(2)全省植被NPP与年均气温呈现正相关性的面积占全省总面积的79.28%,与年降水量呈现正相关性的面积占全省总面积的59.07%;(3)气温是影响林地、草地植被NPP变化的主要驱动因子,耕地主要受降水量影响;(4)植被NPP与年均气温和年降水量的相关性随高程、坡度、坡向的不同表现出差异性,植被NPP变化是气温、降水和地形条件综合作用的结果。
In order to clarify the changes and driving mechanism of the vegetation NPP(net primary productivity) in Hubei Province, based on MOD17 A3 H NPP time series data, MCD12 Q1, meteorological data and SRTM DEM, the spatial and temporal distribution characteristics of vegetation NPP in Hubei Province from 2004 to 2015 were studied by using linear trend analysis and correlation coefficient method. Furthermore, the distribution of vegetation NPP and its response to meteorological change were explored under different land use types and topographic conditions. The results showed that:(1) during the past 12 years, the vegetation NPP in Hubei Province showed overall upward trend, and it was generally higher in the eastern and western mountainous areas than that of the middle part of the study area; the mean annual NPP of the study area from 2004 to 2015 ranged from 400 g C/(m~2·a) to 600 g C/(m~2·a);(2) the areas where vegetation NPP was positively correlated with annual average temperature and annual precipitation accounted for 79.28% and 59.07% of the total area of the province, respectively;(3) air temperature was the main driving factor affecting the change of NPP in forestland and grassland; the NPP changes of farmland were mainly affected by precipitation;(4) due to elevation, slope and aspects, there were the significant differences of the correlations between the vegetation NPP and annual average temperature and annual precipitation. The changes of vegetation NPP were the results of the combined effects of air temperature, precipitation and terrain conditions.
In order to clarify the changes and driving mechanism of the vegetation NPP(net primary productivity) in Hubei Province, based on MOD17 A3 H NPP time series data, MCD12 Q1, meteorological data and SRTM DEM, the spatial and temporal distribution characteristics of vegetation NPP in Hubei Province from 2004 to 2015 were studied by using linear trend analysis and correlation coefficient method. Furthermore, the distribution of vegetation NPP and its response to meteorological change were explored under different land use types and topographic conditions. The results showed that:(1) during the past 12 years, the vegetation NPP in Hubei Province showed overall upward trend, and it was generally higher in the eastern and western mountainous areas than that of the middle part of the study area; the mean annual NPP of the study area from 2004 to 2015 ranged from 400 g C/(m~2·a) to 600 g C/(m~2·a);(2) the areas where vegetation NPP was positively correlated with annual average temperature and annual precipitation accounted for 79.28% and 59.07% of the total area of the province, respectively;(3) air temperature was the main driving factor affecting the change of NPP in forestland and grassland; the NPP changes of farmland were mainly affected by precipitation;(4) due to elevation, slope and aspects, there were the significant differences of the correlations between the vegetation NPP and annual average temperature and annual precipitation. The changes of vegetation NPP were the results of the combined effects of air temperature, precipitation and terrain conditions.
引文
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[2] 王新闯,王世东,张合兵.基于MOD17A3的河南省NPP时空格局[J].生态学杂志,2013,32(10):2797-2805.
[3] Field C B.Primary production of the biosphere:integrating terrestrial and oceanic components[J].Science,1998,281(5374):237-240.
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[6] 国志兴,王宗明,张柏,等.2000—2006年东北地区植被NPP的时空特征及影响因素分析[J].资源科学,2008,30(8):1226-1235.
[7] 李登科,范建忠,王娟.基于MOD17A3的陕西省植被NPP变化特征[J].生态学杂志,2011,30(12):2776-2782.
[8] 崔林丽,杜华强,史军,等.中国东南部植被NPP的时空格局变化及其与气候的关系研究[J].地理科学,2016,36(5):787-793.
[9] 赵林,徐春雪,刘雪莹,等.干旱对湖北省森林植被净初级生产力的影响[J].长江流域资源与环境,2014,23(11):1595-1602.
[10] 陈涛,赵丽娅,侯邦飞,等.基于CASA模型的武汉市生态系统净初级生产力(NPP)遥感估算[J].湖北大学学报:自然科学版,2018,40(3):315-322.
[11] 赵唯茜,杜华明,董廷旭,等.2005—2014年南方农牧交错带净初级生产力时空分布特征[J].水土保持研究,2018,25(6):236-241.
[12] 王夏冰,马超,陈登魁,等.宁夏罗山地区2004—2015年NPP时空变化及气候响应[J].水土保持通报,2018,38(6):364-370,391.
[13] 梁爽,张吴平,毕如田,等.山西省植被NPP时空变化特征及其驱动力分析[J].广西植物,2018,38(8):41-50.
[14] 薛娟娟,葛永慧.基于多源遥感数据的黄土高原矿区植被变化研究:以轩岗矿区为例[J].西北师范大学学报:自然科学版,2018,54(3):112-118.
[15] 张静,任志远.汉江流域植被净初级生产力时空格局及成因[J].生态学报,2016,36(23):7667-7677.
[16] 吴文斌,杨鹏,张莉,等.四类全球土地覆盖数据在中国区域的精度评价[J].农业工程学报,2009,25(12):167-173.
[17] 孙庆龄,冯险峰,肖潇.武陵山区植被净第一性生产力的时空格局及其与地形因子的关系[J].地球信息科学学报,2014,16(6):915-924.
[18] 穆少杰,李建龙,杨红飞,等.内蒙古草地生态系统近10年NPP时空变化及其与气候的关系[J].草业学报,2013,22(3):6-15.
[19] 吕洋,董国涛,杨胜天,等.雅鲁藏布江流域NDVI时空变化及其与降水和高程的关系[J].资源科学,2014,36(3):603-611.
[20] 刘海江,尹思阳,孙聪,等.2000—2010年锡林郭勒草原NPP时空变化及其气候响应[J].草业科学,2015,32(11):1709-1720.
[21] 任正超,朱华忠,柳小妮.年际尺度上土地覆盖类型时空分异及其对气候和地形的响应[J].农业工程学报,2012,28(15):205-214.
[22] 任正超,朱华忠,史华,等.中国潜在自然植被NPP时空分布格局变化及其对气候和地形的响应[J].草地学报,2017,25(3):474-485.
[23] 李登科,王钊.基于MOD17A3的中国陆地植被NPP变化特征分析[J].生态环境学报,2018,27(3):397-405.
[24] 邓舒雨,董向忠,马明哲,等.基于森林碳库动态评估神农架国家级自然保护区的保护成效[J].生物多样性,2018,26(1):27-35.
[25] 崔林丽,史军,肖风劲.气候要素及El Niňo/La Niňa事件对中国陆地NPP变化的影响[J].地理学报,2018,73(1):54-66.
[2] 王新闯,王世东,张合兵.基于MOD17A3的河南省NPP时空格局[J].生态学杂志,2013,32(10):2797-2805.
[3] Field C B.Primary production of the biosphere:integrating terrestrial and oceanic components[J].Science,1998,281(5374):237-240.
[4] Zhao M,Running S W.Drought-induced reduction in global terrestrial net primary production from 2000 through 2009[J].Science,2010,329(5994):940-943.
[5] Yuqing X U,Botao Z,Li Y U,et al.Temporal-spatial dynamic pattern of forest ecosystem service value affected by climate change in the future in China[J].Acta Ecologica Sinica,2018,38(6):1952-1963.
[6] 国志兴,王宗明,张柏,等.2000—2006年东北地区植被NPP的时空特征及影响因素分析[J].资源科学,2008,30(8):1226-1235.
[7] 李登科,范建忠,王娟.基于MOD17A3的陕西省植被NPP变化特征[J].生态学杂志,2011,30(12):2776-2782.
[8] 崔林丽,杜华强,史军,等.中国东南部植被NPP的时空格局变化及其与气候的关系研究[J].地理科学,2016,36(5):787-793.
[9] 赵林,徐春雪,刘雪莹,等.干旱对湖北省森林植被净初级生产力的影响[J].长江流域资源与环境,2014,23(11):1595-1602.
[10] 陈涛,赵丽娅,侯邦飞,等.基于CASA模型的武汉市生态系统净初级生产力(NPP)遥感估算[J].湖北大学学报:自然科学版,2018,40(3):315-322.
[11] 赵唯茜,杜华明,董廷旭,等.2005—2014年南方农牧交错带净初级生产力时空分布特征[J].水土保持研究,2018,25(6):236-241.
[12] 王夏冰,马超,陈登魁,等.宁夏罗山地区2004—2015年NPP时空变化及气候响应[J].水土保持通报,2018,38(6):364-370,391.
[13] 梁爽,张吴平,毕如田,等.山西省植被NPP时空变化特征及其驱动力分析[J].广西植物,2018,38(8):41-50.
[14] 薛娟娟,葛永慧.基于多源遥感数据的黄土高原矿区植被变化研究:以轩岗矿区为例[J].西北师范大学学报:自然科学版,2018,54(3):112-118.
[15] 张静,任志远.汉江流域植被净初级生产力时空格局及成因[J].生态学报,2016,36(23):7667-7677.
[16] 吴文斌,杨鹏,张莉,等.四类全球土地覆盖数据在中国区域的精度评价[J].农业工程学报,2009,25(12):167-173.
[17] 孙庆龄,冯险峰,肖潇.武陵山区植被净第一性生产力的时空格局及其与地形因子的关系[J].地球信息科学学报,2014,16(6):915-924.
[18] 穆少杰,李建龙,杨红飞,等.内蒙古草地生态系统近10年NPP时空变化及其与气候的关系[J].草业学报,2013,22(3):6-15.
[19] 吕洋,董国涛,杨胜天,等.雅鲁藏布江流域NDVI时空变化及其与降水和高程的关系[J].资源科学,2014,36(3):603-611.
[20] 刘海江,尹思阳,孙聪,等.2000—2010年锡林郭勒草原NPP时空变化及其气候响应[J].草业科学,2015,32(11):1709-1720.
[21] 任正超,朱华忠,柳小妮.年际尺度上土地覆盖类型时空分异及其对气候和地形的响应[J].农业工程学报,2012,28(15):205-214.
[22] 任正超,朱华忠,史华,等.中国潜在自然植被NPP时空分布格局变化及其对气候和地形的响应[J].草地学报,2017,25(3):474-485.
[23] 李登科,王钊.基于MOD17A3的中国陆地植被NPP变化特征分析[J].生态环境学报,2018,27(3):397-405.
[24] 邓舒雨,董向忠,马明哲,等.基于森林碳库动态评估神农架国家级自然保护区的保护成效[J].生物多样性,2018,26(1):27-35.
[25] 崔林丽,史军,肖风劲.气候要素及El Niňo/La Niňa事件对中国陆地NPP变化的影响[J].地理学报,2018,73(1):54-66.
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