黄河三角洲新生湿地净初级生产力时空变化
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摘要
以黄河三角洲新生湿地为研究区,结合野外调查和遥感影像数据,利用CASA(Carnegie-Ames-Stanford Approach,CASA)模型对近20年新生湿地植被净初级生产力(net primary production,NPP)时空变化特征及其主要影响因素进行研究。结果表明:研究区植被NPP实测值与估算值显著相关(P<0.001),相对误差介于-21.96～8.16;研究区植被NPP呈现由海向陆递增,由河流沿岸向外围递减趋势; 1998—2016年研究区植被NPP均值、总量整体呈下降趋势,植被NPP均值变化较小,但植被NPP总量变化明显,1998年植被NPP总量最大,2010年植被NPP总量最小;研究区四季植被NPP变化明显,春季植被NPP均值为74.25 g C·m~(-2),夏季为101.58 g C·m~(-2),秋季为41.83 g C·m~(-2),冬季为13.10 g C·m~(-2);研究区不同植被NPP估算值差异显著,各类植被NPP均值估算结果大小为刺槐群落>芦苇柳树群落>农作物>芦苇荻白茅群落>芦苇柽柳群落>柽柳群落>碱蓬群落>大米草互花米草群落>柽柳碱蓬白茅群落;研究区植被NPP与土壤可溶性盐相关系数为-0.389(P<0.01),合理的"调水控盐"模式可以降低土壤盐度,促进植被有机物积累。
Based on field investigation and remote sensing,the spatiotemporal variations and primary influencing factors of net primary productivity(NPP) of new wetlands in the Yellow River Delta in recent 20 years were examined by using the Carnegie-Ames-Stanford Approach(CASA).The correlation between observed and estimated NPP was significant(P<0.001),with averaged relative errors between-21.96 and 8.16.The NPP increased from coast to inland,and decreased from the banks along the river.The mean value of NPP and total NPP showed a downward trend from 1998 to 2016.The variation of mean NPP was relatively small,but the total NPP varied greatly,with the greatest total NPP occurring in 1998 and the smallest in 2010.The variation of NPP was obvious across seasons.The mean NPP was 74.25 g C·m~(-2) in spring,101.58 g C·m~(-2) in summer,41.83 g C·m~(-2) in autumn,and 13.10 g C·m~(-2) in winter.The estimated mean values of NPP differed with vegetation types.The estimated NPP values of various vegetations followed the Form.Robinia pseudoacacia>Form.Phragmites australis & Willow>crop>Form.Phragmites australis & Miscanthus saccharifleus & Imperatacy lindrica>Form.Phragmites australis & Tamarix chinensis>Form.Tamarix chinensis>Form.Suaeda heteroptera>Form.Spartana anglaca & Spartina alterniflora>Form.Tamarix chinensis & Suaeda heteroptera & Imperatacy lindrica.The correlation coefficient between NPP and soil soluble salt concentration was-0.389(P<0.01).Therefore,reasonable "salt suppression with water"model can reduce soil salinity and promote the accumulation of plant organic matter.
Based on field investigation and remote sensing,the spatiotemporal variations and primary influencing factors of net primary productivity(NPP) of new wetlands in the Yellow River Delta in recent 20 years were examined by using the Carnegie-Ames-Stanford Approach(CASA).The correlation between observed and estimated NPP was significant(P<0.001),with averaged relative errors between-21.96 and 8.16.The NPP increased from coast to inland,and decreased from the banks along the river.The mean value of NPP and total NPP showed a downward trend from 1998 to 2016.The variation of mean NPP was relatively small,but the total NPP varied greatly,with the greatest total NPP occurring in 1998 and the smallest in 2010.The variation of NPP was obvious across seasons.The mean NPP was 74.25 g C·m~(-2) in spring,101.58 g C·m~(-2) in summer,41.83 g C·m~(-2) in autumn,and 13.10 g C·m~(-2) in winter.The estimated mean values of NPP differed with vegetation types.The estimated NPP values of various vegetations followed the Form.Robinia pseudoacacia>Form.Phragmites australis & Willow>crop>Form.Phragmites australis & Miscanthus saccharifleus & Imperatacy lindrica>Form.Phragmites australis & Tamarix chinensis>Form.Tamarix chinensis>Form.Suaeda heteroptera>Form.Spartana anglaca & Spartina alterniflora>Form.Tamarix chinensis & Suaeda heteroptera & Imperatacy lindrica.The correlation coefficient between NPP and soil soluble salt concentration was-0.389(P<0.01).Therefore,reasonable "salt suppression with water"model can reduce soil salinity and promote the accumulation of plant organic matter.
引文
安乐生,赵全升,周葆华,等.2017.黄河三角洲NDVI时空演化特征及其驱动因素.海洋与湖沼,48(1):1-7.
陈峰,李红波,刘亚静.2018.基于GIS和CASA的滇南山区植被NPP时空分异及其影响因素---以云南省元阳县为例.生态学杂志,37(7):2148-2158.
陈奕兆,李建龙,孙政国,等.2017.欧亚大陆草原带1982-2008年净初级生产力时空动态及其对气候变化响应研究.草业学报,26(1):1-12.
陈建,王世岩,毛战坡.2011.1976-2008年黄河三角洲湿地变化的遥感监测.地理科学进展,30(5):585-592.
陈晓玲,曾永年.2016.亚热带山地丘陵区植被NPP时空变化及其与气候因子的关系---以湖南省为例.地理学报,71(1):35-48.
程春晓,徐宗学,王志慧,等.2014.2001-2010年东北三省植被净初级生产力模拟与时空变化分析.资源科学,36(11):2401-2412.
杜梦洁,郑江华,任璇,等.2018.地形对新疆昌吉州草地净初级生产力分布格局的影响.生态学报,38(13):4789-4799.
高清竹,万运帆,李玉娥,等.2007.基于CASA模型的藏北地区草地植被净第一性生产力及其时空格局.应用生态学报,18(11):2526-2532.
刘欢,刘冰,花利忠,等.2018.福建省植被NPP时空格局及其驱动力分析.测绘科学,43(3):51-57.
刘玉斌,韩美,潘彬,等.2017.黄河三角洲新生湿地植物生物量和土壤含盐量空间分布.湿地科学,15(3):364-368.
路广,韩美,王敏,等.2017.近代黄河三角洲植被覆盖度时空变化分析.生态环境学报,26(3):422-428.
潘竟虎,黄克军,李真.2017.2001-2010年疏勒河流域植被净初级生产力时空变化及其与气候因子的关系.生态学报,37(6):1888-1899.
朴世龙,方精云,郭庆华.2001.利用CASA模型估算我国植被净第一性生产力.植物生态学报,25(5):603-608,644.
孙万龙,孙志高,田莉萍,等.2017.黄河三角洲潮间带不同类型湿地景观格局变化与趋势预测.生态学报,37(1):215-225.
吴珊珊,姚治君,姜丽光,等.2016.基于MODIS的长江源植被NPP时空变化特征及其水文效应.自然资源学报,31(1):39-51.
谢宝妮,秦占飞,王洋,等.2014.黄土高原植被净初级生产力时空变化及其影响因素.农业工程学报,30(11):244-253.
邢尚军,郗金标,张建锋,等.2003.近代黄河三角洲植被基本特征及其主要类型.东北林业大学学报,31(6):85-86.
张珺,任鸿瑞.2017.人类活动对锡林郭勒盟草原净初级生产力的影响研究.自然资源学报,32(7):1125-1133.
张美玲,蒋文兰,陈全功,等.2014.基于CSCS改进CASA模型的中国草地净初级生产力模拟.中国沙漠,34(4):1150-1160.
张宪洲,杨永平,朴世龙,等.2015.青藏高原生态变化.科学通报,60(32):3048-3056.
张建锋,邢尚军,孙启祥,等.2006.近代黄河三角洲植被资源及其特征分析.水土保持研究,13(1):100-102.
张镱锂,祁威,周才平,等.2013.青藏高原高寒草地净初级生产力(NPP)时空分异.地理学报,68(9):1197-1211.
朱士华,艳燕,邵华,等.2017.1980-2014年中亚地区植被净初级生产力对气候和CO2变化的响应.自然资源学报,32(11):1844-1856.
朱文泉,陈云浩,徐丹,等.2005.陆地植被净初级生产力计算模型研究进展.生态学杂志,24(3):296-300.
周才平,欧阳华,曹宇,等.2008.“一江两河”中部流域植被净初级生产力估算.应用生态学报,19(5):1071-1076.
周广胜,张新时.1995.自然植被净第一性生产力模型初探.植物生态学报,19(3):193-200.
周伟,牟凤云,刚成诚,等.2017.1982-2010年中国草地净初级生产力时空动态及其与气候因子的关系.生态学报,37(13):4335-4345.
Abdalla M,Richards M,Pogson M,et al.2016.Estimating the effect of nitrogen fertilizer on the greenhouse gas balance of soils in Wales under current and future climate.Regional Environmental Change,16:1-12.
Gallagher ME,Masiello CA,Hockaday WC,et al.2014.Controls on the oxidative ratio of net primary production in agricultural ecosystems.Biogeochemistry,121:581-594.
Jandl R,Bauhus J,Bolte A,et al.2015.Effect of climateadapted forest management on carbon pools and greenhouse gas emissions.Current Forestry Reports,1:1-7.
Kale MP,Roy PS.2012.Net primary productivity estimation and its relationship with tree diversity for tropical dry deciduous forests of central India.Biodiversity&Conservation,21:1199-1214.
Khanna M,Zilberman D.2017.Bioenergy Economics and Policy in US and Brazil:Effects on Land Use and Greenhouse Gas Emissions.Handbook of Bioenergy Economics and Policy:Volume II.Springer,New York.
Kotowska MM,Leuschner C,Triadiati T,et al.2016.Conversion of tropical lowland forest reduces nutrient return through litterfall,and alters nutrient use efficiency and seasonality of net primary production.Oecologia,180:601-618.
Liu YB,Ju WM,He HL,et al.2013.Changes of net primary productivity in China during recent 11 years detected using an ecological model driven by MODIS data.Frontiers of Earth Science,7:112-127.
Mowll W,Blumenthal DM,Cherwin K,et al.2015.Climatic controls of aboveground net primary production in semi-arid grasslands along a latitudinal gradient portend low sensitivity to warming.Oecologia,177:959-969.
Niedertscheider M,Gingrich S,Erb KH.2012.Changes in land use in South Africa between 1961 and 2006:An integrated socio-ecological analysis based on the human appropriation of net primary production framework.Regional Environmental Change,12:715-727.
Oh JY,Jeon E C.2017.Greenhouse effects in global warming based on analogical reasoning.Foundations of Science,22:827-847.
Plutzar C,Kroisleitner C,Haberl H,et al.2016.Changes in the spatial patterns of human appropriation of net primary production(HANPP)in Europe 1990-2006.Ousia,16:1225-1238.
陈峰,李红波,刘亚静.2018.基于GIS和CASA的滇南山区植被NPP时空分异及其影响因素---以云南省元阳县为例.生态学杂志,37(7):2148-2158.
陈奕兆,李建龙,孙政国,等.2017.欧亚大陆草原带1982-2008年净初级生产力时空动态及其对气候变化响应研究.草业学报,26(1):1-12.
陈建,王世岩,毛战坡.2011.1976-2008年黄河三角洲湿地变化的遥感监测.地理科学进展,30(5):585-592.
陈晓玲,曾永年.2016.亚热带山地丘陵区植被NPP时空变化及其与气候因子的关系---以湖南省为例.地理学报,71(1):35-48.
程春晓,徐宗学,王志慧,等.2014.2001-2010年东北三省植被净初级生产力模拟与时空变化分析.资源科学,36(11):2401-2412.
杜梦洁,郑江华,任璇,等.2018.地形对新疆昌吉州草地净初级生产力分布格局的影响.生态学报,38(13):4789-4799.
高清竹,万运帆,李玉娥,等.2007.基于CASA模型的藏北地区草地植被净第一性生产力及其时空格局.应用生态学报,18(11):2526-2532.
刘欢,刘冰,花利忠,等.2018.福建省植被NPP时空格局及其驱动力分析.测绘科学,43(3):51-57.
刘玉斌,韩美,潘彬,等.2017.黄河三角洲新生湿地植物生物量和土壤含盐量空间分布.湿地科学,15(3):364-368.
路广,韩美,王敏,等.2017.近代黄河三角洲植被覆盖度时空变化分析.生态环境学报,26(3):422-428.
潘竟虎,黄克军,李真.2017.2001-2010年疏勒河流域植被净初级生产力时空变化及其与气候因子的关系.生态学报,37(6):1888-1899.
朴世龙,方精云,郭庆华.2001.利用CASA模型估算我国植被净第一性生产力.植物生态学报,25(5):603-608,644.
孙万龙,孙志高,田莉萍,等.2017.黄河三角洲潮间带不同类型湿地景观格局变化与趋势预测.生态学报,37(1):215-225.
吴珊珊,姚治君,姜丽光,等.2016.基于MODIS的长江源植被NPP时空变化特征及其水文效应.自然资源学报,31(1):39-51.
谢宝妮,秦占飞,王洋,等.2014.黄土高原植被净初级生产力时空变化及其影响因素.农业工程学报,30(11):244-253.
邢尚军,郗金标,张建锋,等.2003.近代黄河三角洲植被基本特征及其主要类型.东北林业大学学报,31(6):85-86.
张珺,任鸿瑞.2017.人类活动对锡林郭勒盟草原净初级生产力的影响研究.自然资源学报,32(7):1125-1133.
张美玲,蒋文兰,陈全功,等.2014.基于CSCS改进CASA模型的中国草地净初级生产力模拟.中国沙漠,34(4):1150-1160.
张宪洲,杨永平,朴世龙,等.2015.青藏高原生态变化.科学通报,60(32):3048-3056.
张建锋,邢尚军,孙启祥,等.2006.近代黄河三角洲植被资源及其特征分析.水土保持研究,13(1):100-102.
张镱锂,祁威,周才平,等.2013.青藏高原高寒草地净初级生产力(NPP)时空分异.地理学报,68(9):1197-1211.
朱士华,艳燕,邵华,等.2017.1980-2014年中亚地区植被净初级生产力对气候和CO2变化的响应.自然资源学报,32(11):1844-1856.
朱文泉,陈云浩,徐丹,等.2005.陆地植被净初级生产力计算模型研究进展.生态学杂志,24(3):296-300.
周才平,欧阳华,曹宇,等.2008.“一江两河”中部流域植被净初级生产力估算.应用生态学报,19(5):1071-1076.
周广胜,张新时.1995.自然植被净第一性生产力模型初探.植物生态学报,19(3):193-200.
周伟,牟凤云,刚成诚,等.2017.1982-2010年中国草地净初级生产力时空动态及其与气候因子的关系.生态学报,37(13):4335-4345.
Abdalla M,Richards M,Pogson M,et al.2016.Estimating the effect of nitrogen fertilizer on the greenhouse gas balance of soils in Wales under current and future climate.Regional Environmental Change,16:1-12.
Gallagher ME,Masiello CA,Hockaday WC,et al.2014.Controls on the oxidative ratio of net primary production in agricultural ecosystems.Biogeochemistry,121:581-594.
Jandl R,Bauhus J,Bolte A,et al.2015.Effect of climateadapted forest management on carbon pools and greenhouse gas emissions.Current Forestry Reports,1:1-7.
Kale MP,Roy PS.2012.Net primary productivity estimation and its relationship with tree diversity for tropical dry deciduous forests of central India.Biodiversity&Conservation,21:1199-1214.
Khanna M,Zilberman D.2017.Bioenergy Economics and Policy in US and Brazil:Effects on Land Use and Greenhouse Gas Emissions.Handbook of Bioenergy Economics and Policy:Volume II.Springer,New York.
Kotowska MM,Leuschner C,Triadiati T,et al.2016.Conversion of tropical lowland forest reduces nutrient return through litterfall,and alters nutrient use efficiency and seasonality of net primary production.Oecologia,180:601-618.
Liu YB,Ju WM,He HL,et al.2013.Changes of net primary productivity in China during recent 11 years detected using an ecological model driven by MODIS data.Frontiers of Earth Science,7:112-127.
Mowll W,Blumenthal DM,Cherwin K,et al.2015.Climatic controls of aboveground net primary production in semi-arid grasslands along a latitudinal gradient portend low sensitivity to warming.Oecologia,177:959-969.
Niedertscheider M,Gingrich S,Erb KH.2012.Changes in land use in South Africa between 1961 and 2006:An integrated socio-ecological analysis based on the human appropriation of net primary production framework.Regional Environmental Change,12:715-727.
Oh JY,Jeon E C.2017.Greenhouse effects in global warming based on analogical reasoning.Foundations of Science,22:827-847.
Plutzar C,Kroisleitner C,Haberl H,et al.2016.Changes in the spatial patterns of human appropriation of net primary production(HANPP)in Europe 1990-2006.Ousia,16:1225-1238.
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