上海市崇明区东滩湿地植被净初级生产力及其时空变化特征

杨瑞妮; 韩震; 周怿; 翁暄

doi:10.13961/j.cnki.stbctb.2024.03.015

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上海市崇明区东滩湿地植被净初级生产力及其时空变化特征

试验研究

- 上海市崇明区东滩湿地植被净初级生产力及其时空变化特征
- Net Primary Productivity and Its Spatial-temporal Variation of Dongtan Wetland at Chongming District, Shanghai City
- 水土保持通报 2024年44卷第3期页码：136-144
- 作者机构：
  
  1. 上海海洋大学海洋科学学院,上海,201306
  2. 上海河口海洋测绘工程技术研究中心,上海,201306
- 作者简介：
- 基金信息：
  
  教育部产学合作协同育人项目“海洋遥感数据智能化处理”(202102245031)
- DOI：10.13961/j.cnki.stbctb.2024.03.015
  中图分类号： Q948
- 纸质出版：2024
- 稿件说明：
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杨瑞妮, 韩震, 周怿, 等. 上海市崇明区东滩湿地植被净初级生产力及其时空变化特征[J]. 水土保持通报, 2024,44(3):136-144.

Yang Ruini, Han Zhen, Zhou Yi, et al. Net Primary Productivity and Its Spatial-temporal Variation of Dongtan Wetland at Chongming District, Shanghai City[J]. Bulletin of Soiland Water Conservation, 2024, 44(3): 136-144.
杨瑞妮, 韩震, 周怿, 等. 上海市崇明区东滩湿地植被净初级生产力及其时空变化特征[J]. 水土保持通报, 2024,44(3):136-144. DOI： 10.13961/j.cnki.stbctb.2024.03.015.

Yang Ruini, Han Zhen, Zhou Yi, et al. Net Primary Productivity and Its Spatial-temporal Variation of Dongtan Wetland at Chongming District, Shanghai City[J]. Bulletin of Soiland Water Conservation, 2024, 44(3): 136-144. DOI： 10.13961/j.cnki.stbctb.2024.03.015.

摘要

[目的

]

估算上海市崇明区东滩湿地植被的净初级生产力(net primary production，NPP)，探索小尺度区域湿地植被NPP估算方法，为有效评估湿地生态系统固碳能力提供数据支撑。[方法

]

以崇明区东滩湿地作为研究对象，利用Sentinel-2B卫星遥感数据和地面气象数据，基于CASA模型对崇明区东滩湿地2017—2021年NPP进行了月、季、年尺度上的估算，并对影响NPP时空变化的自然因素做了相关性分析。[结果

]

①2017—2021年崇明区东滩湿地NPP均值(以C计)分别为390.22±155.68，426.74±102.40，575.25±445.51，539.29±201.87和611.81±464.88 g/(m

·a)，总量(以C计)分别为1.56×10

，1.96×10

，2.54×10

，2.70×10

和2.94×10

g/a，增长趋势明显； ②NPP高值区域不断向海淤积扩展，芦苇对研究区NPP总量的贡献率达54.73%～70.03%，其次是互花米草和海三棱藨草； ③月NPP均值呈正态分布，NPP均值随季节变化表现出明显的空间差异，夏季和秋季NPP均值和NPP总量有显著提升，春季和冬季变化不明显。[结论

]

月平均温度是影响月NPP均值的主要因素。采用高空间分辨率遥感影像获取湿地植被分类结果，并对估算模型参数本地化，可以提升估算结果的真实性。

Abstract

[Objective] Net primary production (NPP) of vegetation at the Dongtan wetland in Chongming District

Shanghai City was estimated

and methods for NPP estimation in small-scale wetland areas were determined

in order to provide data support for the effective assessment of carbon sequestration capacity in wetland ecosystems. [Methods] The study focused on Dongtan wetland

and used Sentinel-2B satellite remote sensing data and ground-based meteorological data. Monthly

seasonal

and annual-scale NPP estimates were made for 2017—2021 using the CASA model. Correlation analyses were performed to examine natural factors influencing the spatial-temporal variation in NPP. [Results] ① Mean NPP values (calculated by C) for the study area from 2017 to 2021 were 390.22±155.68

426.74±102.40

575.25±445.51

539.29±201.87 and 611.81±464.88 g/(m2·yr)

respectively

with total amounts (calculated by C) of 1.56×1010

1.96×1010

2.54×1010

2.70×1010

and 2.94×1010 g/yr

showing a clear increasing trend. ② High NPP areas continuously expanded towards the sea

with Phragmites australis accounting for 54.73%—70.03% of the total NPP in the study area

followed by Spartina alterniflora and Scirpus mariqueter. ③ Monthly mean NPP values exhibited a normal distribution

and NPP values showed significant spatial variations with the seasons. Average NPP values and total NPP were notably higher in summer and autumn

with less pronounced changes in spring and winter. [Conclusion] Monthly average temperature was identified as the primary factor influencing monthly mean NPP values. The wetland vegetation classification results was obtained by using high spatial resolution remote sensing images， the authenticity of estimation results could be improved by localizing estimation model parameters.

关键词

Keywords

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