双台子河口盐地碱蓬地上和地下生物量分配格局及其异速生长模型
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摘要
利用2015年9月和2016年9月采样日的双台子河口盐地碱蓬(Suaeda salsa)地上生物量和地下生物量数据,分析其生物量分配格局及其原因,研究其异速生长关系,选择幂函数构建盐地碱蓬地上生物量与地下生物量的异速生长模型。研究结果表明,盐地碱蓬地上生物量远大于地下生物量,平均地上生物量与平均地下生物量的比值为0.17,盐地碱蓬在高盐的恶劣条件下,为了获得更多的光照资源,使其生物量更多地分配到地上部分;异速生长模型的决定系数为0.913,经对数转换后的异速生长线性方程斜率不等于1,即盐地碱蓬地上生物量与地下生物量存在显著的异速生长关系(p<0.001);在两年采样日数据的独立模型检验下,2015年和2016年验证采样点的盐地碱蓬地上生物量和地下生物量数据都基本分布在1∶1线附近,两者的决定系数分别为0.828和0.899,均方根误差分别为12.307和7.550,平均相对误差分别为0.168和0.213,表明所建立的异速生长模型具有较高的估算精度和稳定性,可以用于估算盐地碱蓬地下生物量。
Using the sampling data on September 24-25, 2015 and September 20-22, 2016, the distribution pattern of above and below ground biomass of Suaeda salsa in the Shuangtaizi estuary and its causes were analyzed, the allometric growth relationship of above and below ground biomass of Suaeda salsa was studied.The allometric growth model of the above and below ground biomass was constructed by power function. The results showed that the above ground biomass of Suaeda salsa in the study area was much larger than belowground biomass, and the ratio between the average above and below ground biomass was 0.17. Suaeda salsa allocated more biomass to the above ground part under the high salinity condition. The determination coefficient reached 0.913. The slope of the linear equation was not equal to 1 after logarithmic transformation.So the allometric growth relationship was significant between above and below ground biomass. Based on validating data in 2015 and 2016, verification point data was basically distributed in 1∶1 line nearby, and their determination coefficients were 0.828 and 0.899 respectively, and the root mean square error were 10.19 and7.55 respectively, mean relative error were 0.134 and 0.213 respectively. It showed that the allometric growth model had a good estimation accuracy and stability. This study would provide effective means and method for estimating the below ground biomass of Suaeda salsa.
Using the sampling data on September 24-25, 2015 and September 20-22, 2016, the distribution pattern of above and below ground biomass of Suaeda salsa in the Shuangtaizi estuary and its causes were analyzed, the allometric growth relationship of above and below ground biomass of Suaeda salsa was studied.The allometric growth model of the above and below ground biomass was constructed by power function. The results showed that the above ground biomass of Suaeda salsa in the study area was much larger than belowground biomass, and the ratio between the average above and below ground biomass was 0.17. Suaeda salsa allocated more biomass to the above ground part under the high salinity condition. The determination coefficient reached 0.913. The slope of the linear equation was not equal to 1 after logarithmic transformation.So the allometric growth relationship was significant between above and below ground biomass. Based on validating data in 2015 and 2016, verification point data was basically distributed in 1∶1 line nearby, and their determination coefficients were 0.828 and 0.899 respectively, and the root mean square error were 10.19 and7.55 respectively, mean relative error were 0.134 and 0.213 respectively. It showed that the allometric growth model had a good estimation accuracy and stability. This study would provide effective means and method for estimating the below ground biomass of Suaeda salsa.
引文
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[14]王浩东,高芳磊,郭宏宇,等.盐度、水淹深度和践踏胁迫下七里海湿地盐地碱蓬种子的幼苗出土率和生长特点[J].湿地科学, 2017, 1515(2):250-255.
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[2]杨佳,李锡成,王趁义,等.利用海蓬子和碱蓬修复滨海湿地污染研究进展[J].湿地科学, 2015, 1313(4):518-522.
[3]许振,左平,王俊杰,等. 6个时期盐城滨海湿地植物碳储量变化[J].湿地科学, 2014, 122(6):709-713.
[4]吴涛,赵冬至,康建成,等.辽东湾双台子河口湿地盐地碱蓬(Suaeda salsa)生物量遥感反演研究[J].生态环境学报, 2011, 20(1):24-29.
[5]傅新,刘高焕,黄翀,等.湿地盐地碱蓬生物量遥感估算模型[J].生态学报, 2012, 3232(17):5355-5362.
[6]李微,牟蒙,陈官滨,等.基于TSAVI的OLI模拟数据盐地碱蓬生物量反演研究[J].光谱学与光谱分析, 2016, 3636(5):1418-1422.
[7]李春萍,李刚,肖春旺.异速生长关系在陆地生态系统生物量估测中的应用[J].世界科技研究与发展, 2007, 2929(2):51-57.
[8]韩文轩,方精云.幂指数异速生长机制模型综述[J].植物生态学报, 2008, 3232(4):951-960.
[9]徐满厚,刘敏,翟大彤,等.青藏高原高寒草甸生物量动态变化及与环境因子的关系——基于模拟增温实验[J].生态学报,2016, 3636(18):5759-5767.
[10]闫帮国,樊博,何光熊,等.干热河谷草本植物生物量分配及其对环境因子的响应[J].应用生态学报, 2016, 2727(10):3173-3181.
[11]王敏,苏永中,杨荣,等.黑河中游荒漠草地地上和地下生物量的分配格局[J].植物生态学报, 2013, 3737(3):209-219.
[12]陶韦.辽河口潮滩湿地盐地碱蓬生长与生态化学计量学研究[D].大连:大连海洋大学, 2016:18-21.
[13]闫小红,何春兰,周兵,等.不同生育期入侵植物大狼把草的生物量分配格局及异速生长分析[J].生态与农村环境学报,2017, 3333(2):150-158.
[14]王浩东,高芳磊,郭宏宇,等.盐度、水淹深度和践踏胁迫下七里海湿地盐地碱蓬种子的幼苗出土率和生长特点[J].湿地科学, 2017, 1515(2):250-255.
[15]宋香静,李胜男,郭嘉,等.环境变化对湿地植物根系的影响研究[J].水生态学杂志, 2017, 3838(2):1-9.