湖北省鄂州市湿地净初级生产力及固碳释氧量估算

詹长根; 吴金涛

doi:10.13961/j.cnki.stbctb.2022.05.039

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湖北省鄂州市湿地净初级生产力及固碳释氧量估算

试验研究

- 湖北省鄂州市湿地净初级生产力及固碳释氧量估算
- Estimation of Net Primary Productivity, Carbon Fixation, and Oxygen Release in a Wetland of Ezhou City, Hubei Province
- 水土保持通报 2022年42卷第5期页码：321-328
- 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：
  
  湖北省湿地、水资源专项调查试点项目(ZQLY-DL-20210511FW)
- DOI：10.13961/j.cnki.stbctb.2022.05.039
  中图分类号： Q146;Q948.1
- 纸质出版：2022
- 稿件说明：
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詹长根, 吴金涛. 湖北省鄂州市湿地净初级生产力及固碳释氧量估算[J]. 水土保持通报, 2022,42(5):321-328.

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.
詹长根, 吴金涛. 湖北省鄂州市湿地净初级生产力及固碳释氧量估算[J]. 水土保持通报, 2022,42(5):321-328. DOI： 10.13961/j.cnki.stbctb.2022.05.039.

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

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