Net Primary Productivity and Its Spatial-temporal Variation of Dongtan Wetland at Chongming District, Shanghai City

Yang Ruini; Han Zhen; Zhou Yi; Weng Xuan

doi:10.13961/j.cnki.stbctb.2024.03.015

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Net Primary Productivity and Its Spatial-temporal Variation of Dongtan Wetland at Chongming District, Shanghai City

- Net Primary Productivity and Its Spatial-temporal Variation of Dongtan Wetland at Chongming District, Shanghai City
- Bulletin of Soiland Water Conservation Vol. 44, Issue 3, Pages: 136-144(2024)
- 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：
- DOI：10.13961/j.cnki.stbctb.2024.03.015
  CLC： Q948
- Published：2024
- 稿件说明：
移动端阅览
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：

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

references

Cui Jianbo, Li Changsheng, Trettin C. Analyzing the ecosystem carbon and hydrologic characteristics of forested wetland using a biogeochemical process model [J]. Global Change Biology, 2005,11(2):278-289.

Chirici G, Chiesi M, Fibbi L, et al. High spatial resolution modelling of net forest carbon fluxes based on ground and remote sensing data [J]. Agricultural and Forest Meteorology, 2022,316:108866.

Veroustraete F, Sabbe H, Eerens H. Estimation of carbon mass fluxes over Europe using the C-Fix model and Euroflux data [J]. Remote Sensing of Environment, 2002,83(3):376-399.

Potter C S, Randerson J T, Field C B, et al. Terrestrial ecosystem production: A process model based on global satellite and surface data [J]. Global Biogeochemical Cycles, 1993,7(4):811-841.

Sun Jinke, Yue Ying, Niu Haipeng. Evaluation of NPP using three models compared with MODIS-NPP data over China [J]. PLoS One, 2021,16(11):e0252149.

Aselmann I, Crutzen P J. Global distribution of natural freshwater wetlands and rice paddies,their net primary productivity,seasonality and possible methane emissions [J]. Journal of Atmospheric Chemistry, 1989,8(4):307-358.

Zhang Cheng, Zhen Haobei, Zhang Shanghong, et al. Dynamic changes in net primary productivity of marsh wetland vegetation in China from 2005 to 2015 [J]. Ecological Indicators, 2023,155:110970.

王辉,刘海隆,包安明,等.2001—2013年开孔河流域净初级生产力遥感估算及其时空分布特征[J].水土保持通报,2016,36(5):220-224.Wang Hui, Liu Hailong, Bao Anming, et al. Remotely-sensed estimation of net primary productivity and its spatial-temporal characteristics in Kaidu-Kongque River basin from 2001 to 2013 [J]. Bulletin of Soil and Water Conservation, 2016,36(5):220-224.

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 Soil and Water Conservation, 2022,42(5):321-328.

郑姚闽,张海英,牛振国,等.中国国家级湿地自然保护区保护成效初步评估[J].科学通报,2012,57(4):207-230.Zheng Yaomin, Zhang Haiying, Niu Zhenguo, et al. Preliminary evaluation on the protection effect of China national wetland nature reserve [J]. Chinese Science Bulletin, 2012,57(4):207-230.

张群,李博.崇明东滩鸟类栖息地优化区海三棱藨草野外恢复实践[J].应用生态学报,2023,34(10):2663-2671.Zhang Qun, Li Bo, Field practice of Scirpus mariqueter restoration in the bird habitats of Chongming Dongtan Wetland, China [J]. Chinese Journal of Applied Ecology, 2023,34(10):2663-2671.

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.Zhu Wenquan, Pan Yaozhong, Zhang Jinshui. Estimation of net primary productivity of Chinese terrestrial vegetation based on remote sensing [J]. Journal of Plant Ecology, 2007,31(3):413-424.

童成立,张文菊,汤阳,等.逐日太阳辐射的模拟计算[J].中国农业气象,2005,26(3):165-169.Tong Chengli, Zhang Wenju, Tang Yang, et al. Estimation of daily solar radiation in China [J]. Agricultural Meteorology, 2005,26(3):165-169.

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.Luo Ling, Mao Dehua, Zhang Bai, et al. Exploration and application of NPP estimation model for

Phragmites australis

wetlands [J]. Remote Sensing Technology and Application, 2021,36(4):742-750.

梅雪英,张修峰.长江口湿地海三棱藨草(

Scirpus mariqueter

)的储碳、固碳功能研究: 以崇明东滩为例[J].农业环境科学学报,2007,26(1):360-363.Mei Xueying, Zhang Xiufeng. Carbon storage and fixation function of scirpus mariqueter in Changjiang River estuary: A case study of Chongming Dongtan wetland [J]. Journal of Agro-environment Science, 2007,26(1):360-363.

原一荃,薛力铭,李秀珍.基于CASA模型的长江口崇明东滩湿地植被净初级生产力与固碳潜力[J].生态学杂志,2022,41(2):334-342.Yuan Yiquan, Xue Liming, Li Xiuzhen. Net primary productivity and carbon sequestration potential of salt marsh vegetation in Chongming Dongtan of the Yangtze estuary based on CASA model [J]. Chinese Journal of Ecology, 2022,41(2):334-342.

万安娜,韩其飞,李超凡,等.江苏滨海盐沼湿地碳动态时空差异及其对气候变化的响应[J/OL].生态学杂志,2023,(2023-09-28).https://link.cnki.net/urlid/21.1148.Q.20230928.1048.002Wan Anna, Han Qifei, Li Chaofan，et al. Spatial-temporal variation of carbon dynamics and their responses to climate change in Jiangsu coastal salt marshes [J/OL]. Chinese Journal of Ecology, 2023,(2023-09-28).https://link.cnki.net/urlid/21.1148.Q.20230928.1048.002

詹跃武,何池全,孟昭寿,等.海三棱藨草盐沼土壤环境因子的时空分布特征[J].海洋环境科学,2011,30(6):765-770.Zhan Yuewu, He Chiquan, Meng Zhaoshou, et al. Spatial and temporal distribution characteristics of

Scripus mariqueter

in salt soil environmental factors [J]. Marine Environmental Science, 2011,30(6):765-770.

丁文慧,姜俊彦,李秀珍,等.崇明东滩南部盐沼植被空间分布及影响因素分析[J].植物生态学报,2015,39(7):704-716.Ding Wenhui, Jiang Junyan, Li Xiuzhen, et al. Spatial distribution of species and influencing factors across salt marsh in Southern Chongming Dongtan [J]. Chinese Journal of Plant Ecology, 2015,39(7):704-716.

刘晓彤,李秀珍,闫中正,等.海三棱藨草对极端高温的生长与生理响应[J].生态学杂志,2020,39(1):110-119.Liu Xiaotong, Li Xiuzhen, Yan Zhongzheng, et al. Growth and physiological responses of

Scirpus mariqueter

to extremely high temperatures [J]. Chinese Journal of Ecology, 2020,39(1):110-119.

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