Spartina alterniflora invasions seriously threaten the structure and functions of coastal wetlands in China.In this study,the Suaeda salsa community in the Yellow River Estuary wetland was monitored using long-term La...Spartina alterniflora invasions seriously threaten the structure and functions of coastal wetlands in China.In this study,the Suaeda salsa community in the Yellow River Estuary wetland was monitored using long-term Landsat satellite images acquired from 1997 to 2020 to quantify the impact of changes in hydrological connectivity induced by S.alterniflora on neighboring vegetation com-munities.The results showed that S.alterniflora rapidly expanded in the estuary area at a rate of 4.91 km^(2)/yr from 2010 to 2020.At the same time,the hydrological connectivity of the area and the distribution of S.salsa changed significantly.Small tidal creeks dominated the S.alterniflora landscape.The number of tidal creeks increased significantly,but their average length decreased and they tended to develop in a horizontal tree-like pattern.Affected by the changes in hydrological connectivity due to the S.alterniflora invasion,the area of S.salsa decreased by 41.1%,and the degree of landscape fragmentation increased from 1997 to 2020.Variations in the Largest Patch Index(LPI)indicated that the S.alterniflora landscape had become the dominant landscape type in the Yellow River Estuary.The res-ults of standard deviation ellipse(SDE)and Pearson’s correlation analyses indicated that a well-developed hydrological connectivity could promote the maintenance of the S.salsa landscape.The degradation of most S.salsa communities is caused by the influence of S.alterniflora on the morphological characteristics of the hydrological connectivity of tidal creek systems.展开更多
Spartina alterniflora's robust reproductive capacity has enabled it to spread rapidly, posing a serious threat to native ecosystems in China. Therefore, accurate quantification of Spartina alterniflora aboveground...Spartina alterniflora's robust reproductive capacity has enabled it to spread rapidly, posing a serious threat to native ecosystems in China. Therefore, accurate quantification of Spartina alterniflora aboveground biomass at a fine scale is crucial for understanding its growth dynamics and managing its invasion. This study focuses on the coastal wetlands of central Jiangsu Province, China, utilizing multispectral unmanned aerial vehicle(UAV) data to map the distribution of Spartina alterniflora. Object-based image analysis(OBIA) combined with support vector machines(SVM) was employed for classification. Additionally, multiple regression models, including univariate, band-based, vegetation index(VI)-based, and multivariate linear regression models integrating both band and VI data, were developed to estimate biomass:(1) the Bands + VIs multiple linear regression model based on fresh weight exhibited the highest estimation accuracy;(2) the optimal model achieved R^(2) values of 0.81 and 0.82 at Dafeng and Tiaozini Nature Reserve,with RMSE values of 591.78 g/m^(2) and 337.62 g/m^(2), and MAE values of 576.82 g/m^(2) and 287.71 g/m^(2), respectively;and(3) the aboveground biomass of Spartina alterniflora primarily ranged from 994.60 g/m^(2) to 5 351.48 g/m^(2) at Dafeng and from 796.05 g/m^(2) to 1 994.02 g/m^(2) in Tiaozini Nature Reserve. These findings highlight the effectiveness of multispectral UAV technology for accurately estimating Spartina alterniflora biomass, providing a robust methodology for wetland vegetation monitoring and invasive species management.展开更多
Benthic macroinvertebrate communities in Spartina alterniflora zones in the Yangtze Estuary, in China, were investigated seasonally in 2005, and their structure and biodiversity were analyzed. Twenty-one species were ...Benthic macroinvertebrate communities in Spartina alterniflora zones in the Yangtze Estuary, in China, were investigated seasonally in 2005, and their structure and biodiversity were analyzed. Twenty-one species were identified, across four Classes; 10 species of Crustacea, five species of Polychaeta, five species of Gastropoda, and one species of Lamellibranchia. Dominant species included： Assiminea sp., Notomastus latericeus, Cerithidea largillierl, Gtauconome chinensi and Gammaridae sp. Functional groups were comprised of a phytophagous group and a detritivorous group. The average density of all benthic macroinvertebrates was 650.5 ±719.2 inds/m^2 in the survey area. The high value of the standard deviation of the average density was a result of abundant Assiminea sp. at Beihu tidal flats. The average density of macroinvertebrates from Beihu tidal flat, Chongming Dongtan to Jinshanwei tidal flat decreased gradually. There was significant difference between compositions and abundance of macroinvertebrates along the estuary gradient （P 〈 0.05）. The density and biodiversity were highest in summer and lowest in winter. The mean biomass of macroinvertebrates was 20.8 ± 6.1 g/m^2. Biomass changed seasonally in the same way as density, with the change in biomass being： summer （Aug.） 〉autumn （Oct.） 〉spring （Apr.） 〉 winter （Dec.）. A BIO-ENV analysis showed that the mean grain size of sediment, height of Spartina and salinity were the ma- jor factors which affected the structure of the macroinvertebrate community. Variations in the community structure were probably caused by the population dynamics of S. alterniflora along with the variation in sampling time and location.展开更多
互花米草(Spartina alterniflora属于禾本科米草属多年生单子叶草本植物,具有耐盐耐淹及其快速高效的生物质合成能力以及生物质能储量丰富的特点。自1979年引种到我国以来,在防风护沙、保滩护堤等方面发挥了积极的作用,同时也给沿海生...互花米草(Spartina alterniflora属于禾本科米草属多年生单子叶草本植物,具有耐盐耐淹及其快速高效的生物质合成能力以及生物质能储量丰富的特点。自1979年引种到我国以来,在防风护沙、保滩护堤等方面发挥了积极的作用,同时也给沿海生态系统带来了一定的影响,年国家环保总局将其列入首批外来入侵物种名单。本文根据文献报道简析了近年来国内外科学家对互花米草的研究成果。利用科学引文索引(Science Citation Index Expanded,SCI-E和德温特专利索引(Derwent Innova.tion Index,DII及Innography为数据源,采用Thomson Data AnalyzerTDA等数据库和分析软件对互花米草研究领域发表的文献和专利进行分析,简要阐述了近年来国际上对于互花米草的研发动态与综合利用情况。展开更多
基金Under the auspices of Key Program of the National Natural Science Foundation of China(No.U2006215,U1806218)the National Key R&D Program of China(No.2017YFC0505902)。
文摘Spartina alterniflora invasions seriously threaten the structure and functions of coastal wetlands in China.In this study,the Suaeda salsa community in the Yellow River Estuary wetland was monitored using long-term Landsat satellite images acquired from 1997 to 2020 to quantify the impact of changes in hydrological connectivity induced by S.alterniflora on neighboring vegetation com-munities.The results showed that S.alterniflora rapidly expanded in the estuary area at a rate of 4.91 km^(2)/yr from 2010 to 2020.At the same time,the hydrological connectivity of the area and the distribution of S.salsa changed significantly.Small tidal creeks dominated the S.alterniflora landscape.The number of tidal creeks increased significantly,but their average length decreased and they tended to develop in a horizontal tree-like pattern.Affected by the changes in hydrological connectivity due to the S.alterniflora invasion,the area of S.salsa decreased by 41.1%,and the degree of landscape fragmentation increased from 1997 to 2020.Variations in the Largest Patch Index(LPI)indicated that the S.alterniflora landscape had become the dominant landscape type in the Yellow River Estuary.The res-ults of standard deviation ellipse(SDE)and Pearson’s correlation analyses indicated that a well-developed hydrological connectivity could promote the maintenance of the S.salsa landscape.The degradation of most S.salsa communities is caused by the influence of S.alterniflora on the morphological characteristics of the hydrological connectivity of tidal creek systems.
基金Postgraduate Research&Practice Innovation Program of Jiangsu Province under contract Nos KYCX23_1067 and KYCX25_1231the National Natural Science Foundation of China under contract No.42476157。
文摘Spartina alterniflora's robust reproductive capacity has enabled it to spread rapidly, posing a serious threat to native ecosystems in China. Therefore, accurate quantification of Spartina alterniflora aboveground biomass at a fine scale is crucial for understanding its growth dynamics and managing its invasion. This study focuses on the coastal wetlands of central Jiangsu Province, China, utilizing multispectral unmanned aerial vehicle(UAV) data to map the distribution of Spartina alterniflora. Object-based image analysis(OBIA) combined with support vector machines(SVM) was employed for classification. Additionally, multiple regression models, including univariate, band-based, vegetation index(VI)-based, and multivariate linear regression models integrating both band and VI data, were developed to estimate biomass:(1) the Bands + VIs multiple linear regression model based on fresh weight exhibited the highest estimation accuracy;(2) the optimal model achieved R^(2) values of 0.81 and 0.82 at Dafeng and Tiaozini Nature Reserve,with RMSE values of 591.78 g/m^(2) and 337.62 g/m^(2), and MAE values of 576.82 g/m^(2) and 287.71 g/m^(2), respectively;and(3) the aboveground biomass of Spartina alterniflora primarily ranged from 994.60 g/m^(2) to 5 351.48 g/m^(2) at Dafeng and from 796.05 g/m^(2) to 1 994.02 g/m^(2) in Tiaozini Nature Reserve. These findings highlight the effectiveness of multispectral UAV technology for accurately estimating Spartina alterniflora biomass, providing a robust methodology for wetland vegetation monitoring and invasive species management.
文摘Benthic macroinvertebrate communities in Spartina alterniflora zones in the Yangtze Estuary, in China, were investigated seasonally in 2005, and their structure and biodiversity were analyzed. Twenty-one species were identified, across four Classes; 10 species of Crustacea, five species of Polychaeta, five species of Gastropoda, and one species of Lamellibranchia. Dominant species included： Assiminea sp., Notomastus latericeus, Cerithidea largillierl, Gtauconome chinensi and Gammaridae sp. Functional groups were comprised of a phytophagous group and a detritivorous group. The average density of all benthic macroinvertebrates was 650.5 ±719.2 inds/m^2 in the survey area. The high value of the standard deviation of the average density was a result of abundant Assiminea sp. at Beihu tidal flats. The average density of macroinvertebrates from Beihu tidal flat, Chongming Dongtan to Jinshanwei tidal flat decreased gradually. There was significant difference between compositions and abundance of macroinvertebrates along the estuary gradient （P 〈 0.05）. The density and biodiversity were highest in summer and lowest in winter. The mean biomass of macroinvertebrates was 20.8 ± 6.1 g/m^2. Biomass changed seasonally in the same way as density, with the change in biomass being： summer （Aug.） 〉autumn （Oct.） 〉spring （Apr.） 〉 winter （Dec.）. A BIO-ENV analysis showed that the mean grain size of sediment, height of Spartina and salinity were the ma- jor factors which affected the structure of the macroinvertebrate community. Variations in the community structure were probably caused by the population dynamics of S. alterniflora along with the variation in sampling time and location.
文摘互花米草(Spartina alterniflora属于禾本科米草属多年生单子叶草本植物,具有耐盐耐淹及其快速高效的生物质合成能力以及生物质能储量丰富的特点。自1979年引种到我国以来,在防风护沙、保滩护堤等方面发挥了积极的作用,同时也给沿海生态系统带来了一定的影响,年国家环保总局将其列入首批外来入侵物种名单。本文根据文献报道简析了近年来国内外科学家对互花米草的研究成果。利用科学引文索引(Science Citation Index Expanded,SCI-E和德温特专利索引(Derwent Innova.tion Index,DII及Innography为数据源,采用Thomson Data AnalyzerTDA等数据库和分析软件对互花米草研究领域发表的文献和专利进行分析,简要阐述了近年来国际上对于互花米草的研发动态与综合利用情况。
