Estimation of Net Primary Productivity, Carbon Fixation, and Oxygen Release in a Wetland of Ezhou City, Hubei Province

Zhan Changgen; Wu Jintao

doi:10.13961/j.cnki.stbctb.2022.05.039

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Estimation of Net Primary Productivity, Carbon Fixation, and Oxygen Release in a Wetland of Ezhou City, Hubei Province

- Estimation of Net Primary Productivity, Carbon Fixation, and Oxygen Release in a Wetland of Ezhou City, Hubei Province
- Bulletin of Soiland Water Conservation Vol. 42, Issue 5, Pages: 321-328(2022)
- 作者机构：
  
  武汉大学资源与环境科学学院,湖北,武汉,430072
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2022.05.039
  CLC： Q146;Q948.1
- Published：2022
- 稿件说明：
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Zhan Changgen, Wu Jintao. Estimation of Net Primary Productivity, Carbon Fixation, and Oxygen Release in a Wetland of Ezhou City, Hubei Province[J]. Bulletin of Soiland Water Conservation, 2022, 42(5): 321-328.
DOI：

Zhan Changgen, Wu Jintao. Estimation of Net Primary Productivity, Carbon Fixation, and Oxygen Release in a Wetland of Ezhou City, Hubei Province[J]. Bulletin of Soiland Water Conservation, 2022, 42(5): 321-328. DOI： 10.13961/j.cnki.stbctb.2022.05.039.

摘要

[目的

]

估算湖北省鄂州市净初级生产力(net primary productivity，NPP)以及固碳释氧量，探索一种适用于中小尺度上，涉及大量水体的湿地NPP估算方法，为制定相关湿地生态保护政策提供更为准确的数据支撑。[方法

]

构建湿地分类模型，将鄂州市湿地划分为浅水地表湿地与深水水体湿地。对浅水地表湿地，采用基于遥感影像的光能利用率模型进行NPP估算；对深水水体湿地，引入叶绿素a与生物量指标，构建回归模型，对湿地水体NPP进行估算。汇总两者的估算结果，得到鄂州市湿地2020年度NPP总量及其空间分布和固碳释氧量。[结果

]

鄂州市湿地2020年度净初级生产力总量为2.99×10

t (以C计)，CO

的固定量为4.87×10

t，O

的释放量为3.59×10

t，整体上呈现南高北低的分布格局。[结论

]

采用湿地分类的方法，对深水水体湿地NPP单独进行估算，弥补了基于遥感影像的模型估算方法中对湿地水体部分估算的不足，使估算结果更接近湿地真实水平，采用的模型方法可为类似涉及水体的湿地NPP估算工作提供一种新思路和方法。

Abstract

[Objective] The net primary productivity (NPP)

carbon fixation

and oxygen release in a wetland of Ezhou City

Hubei Province were estimated

and a method for estimating wetland NPP on small and medium-scale wetlands involving large areas of water was established in order to provide accurate data support for related policies. [Methods] A wetland classification model was constructed to divide Ezhou wetlands into surface wetlands and water wetlands. Remote sensing data and a light energy utilization model were used to estimate NPP for surface wetlands. For water wetlands

chlorophyll a and biomass were introduced as indicators to build a regression model to estimate NPP. The annual total NPP in 2020 was obtained by summarizing the results for both surface wetlands and water wetlands at the same time

and the spatial distribution of NPP

carbon fixation

and oxygen release were obtained. [Results] The annual total NPP was 2.99×105 tons of carbon

the fixation of CO2 was 4.87×105 tons

and the release of O2 was 3.59×105 tons. The overall spatial distribution pattern indicated that NPP was high in southern part of the study region and low in the northern part. [Conclusion] A wetland classification model was used to estimate the NPP of water wetlands separately from the NPP of surface wetlands. This method made up for the deficiencies arising from estimating NPP only with a light energy utilization model

and provided estimation results that were closer to observed values for wetlands. This model and method is applicable to similar wetland NPP estimation research involving water bodies.

关键词

Keywords

references

罗玲,毛德华,张柏,等.芦苇湿地植被NPP估算方法探索与应用[J].遥感技术与应用,2021,36(4):742-750.

宫兆宁,熊凯,孙伟东,等.官厅水库小流域植被净初级生产力估算[J].湿地科学,2021,19(3):285-294.

孔春芳,岳永财,徐凯.2000—2015年江汉平原区域植被NPP时空特征及其对气候变化的响应[J].长江流域资源与环境,2019,28(6):1460-1469.

吴琴,尧波,朱丽丽,等.鄱阳湖典型苔草湿地生物量季节变化及固碳功能评价[J].长江流域资源与环境,2012,21(2):215-219.

Monteith J L. Solar radiation and productivity in tropical ecosystems [J].The Journal of Applied Ecology,1972,9(3):747.

石志华,刘梦云,吴健利,等.基于CASA模型的陕西省植被净初级生产力时空分析[J].水土保持通报,2016,36(1):206-211.

杨潇,郭兵,韩保民,等.青藏高原NPP时空演变格局及其驱动机制分析[J].长江流域资源与环境,2019,28(12):3038-3050.

朱文泉,潘耀忠,张锦水.中国陆地植被净初级生产力遥感估算[J].植物生态学报,2007,31(3):413-424.

Ruimy A, Saugier B, Dedieu G. Methodology for the estimation of terrestrial net primary production from remotely sensed data [J]. Journal of Geophysical Research, 1994,99(D3):5263.

王军邦,杨屹涵,左婵,等.气候变化和人类活动对中国陆地生态系统总初级生产力的影响厘定研究[J].生态学报,2021,41(18):7085-7099.

Zhang Yangjian, Yu Guirui, Yang Jian, et al. Climate-driven global changes in carbon use efficiency [J]. Global Ecology and Biogeography, 2014,23(2):144-155.

Liu Yangyang, Wang Qian, Zhang Zhaoying, et al. Grassland dynamics in responses to climate variation and human activities in China from 2000 to 2013 [J]. Science of the Total Environment, 2019,690:27-39.

宗玮,林文鹏,周云轩,等.基于遥感的上海崇明东滩湿地典型植被净初级生产力估算[J].长江流域资源与环境,2011,20(11):1355-1360.

尚毅威,肖武鹏,柳欣,等.南海SEATS站超微型浮游植物类群及其碳生物量和叶绿素a浓度比值的变化[J].厦门大学学报(自然科学版),2018,57(6):811-818.

胡洋洋,王鑫.基于细胞面积估计的蓝藻细胞计数[J].江南大学学报(自然科学版),2015,14(5):523-526.

于海燕,周斌,胡尊英,等.生物监测中叶绿素a浓度与藻类密度的关联性研究[J].中国环境监测,2009,25(6):40-43.

孙凌,金相灿,钟远,等.不同氮磷比条件下浮游藻类群落变化[J].应用生态学报,2006,17(7):1218-1223.

杜胜蓝,黄岁樑,臧常娟,等.浮游植物现存量表征指标间相关性研究(Ⅰ): 叶绿素a与生物量[J].水资源与水工程学报,2011,22(1):40-44.

张岩,韦振锋,黄毅.1999—2012年三江源区植被净初级生产力及固碳释氧量测评[J].水土保持通报,2016,36(1):100-105.

刘文瑞,李晓婷,李彤,等.基于MODIS和CASA模型的伊春市森林植被NPP变化特征及其影响因子分析[J].生态学杂志,2022,41(1):150-158.

Wang Lunche, Zhu Hongji, Lin Aiwen, et al. Evaluation of the latest MODIS GPP products across multiple biomes using global eddy covariance flux data [J]. Remote Sensing, 2017,9(5):418.

林少君,贺立静,黄沛生,等.浮游植物中叶绿素a提取方法的比较与改进[J].生态科学,2005,24(1):9-11.

徐兆礼,沈新强.长江口水域浮游动物生物量及其年间变化[J].长江流域资源与环境,2005,14(3):282-286.

王伟,顾继光,韩博平.华南沿海地区小型水库叶绿素a浓度的影响因子分析[J].应用与环境生物学报,2009,15(1):64-71.

孙凌,金相灿,杨威,等.硅酸盐影响浮游藻类群落结构的围隔试验研究[J].环境科学,2007,28(10):2174-2179.

Desortová B. Relationship between chlorophyll-α concentration and phytoplankton biomass in several reservoirs in Czechoslovakia [J]. Internationale Revue Der Gesamten Hydrobiologie Und Hydrographie, 1981,66(2):153-169.

Watson K J. Phytoplankton and its dynamics in two tropical lakes: A tropical and temperate zone comparison [J]. Hydrobiologia, 1986,138(1):161-176.

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