Analysis of tidal marsh vegetation patterns in two Georgia estuaries using aerial photography and GIS

被引:0
|
作者
Carrie B. Higinbotham
Merryl Alber
Alice G. Chalmers
机构
[1] University of Georgia,Department of Marine Sciences
[2] Post,undefined
[3] Buckley,undefined
[4] Schuh,undefined
[5] and Jernigan,undefined
来源
Estuaries | 2004年 / 27卷
关键词
Salt Marsh; Geographic Information System; River Estuary; Tidal Creek; Marsh Plant;
D O I
暂无
中图分类号
学科分类号
摘要
Aerial photographs and GIS analysis were used to map the distribution of tidal marsh vegetation along the salinity gradients of the estuaries of the Altamaha and Satilla Rivers in coastal Georgia. Vegetation maps were constructed from 1993 U.S. Geological Survey Digital Orthophoto Quarter Quads, 1∶77,000-scale color infrared photographs taken in 1974 and 1∶24,000-scale black and white photographs taken in 1953, Changes between years were identified using a GIS overlay analysis. Four vegetation classifications were identified and groundtruthed with field surveys: salt marsh (areas containing primarilySpartina alterniflora), brackish marsh (Spartina cynosuroides andS. alterniflora), Juncus (Juncus roemerianus), and fresh marsh (Zizania aquatica, Zizaniopsis miliacae, and others). There was no evidence for an upstream shift in marsh vegetation along the longitudinal axis of either estuary over the time frame of this analysis, which implies there has not been a long-term increase in salinity. Although the inland extent of each marsh zone was further upstream in the Satilla than the Altamaha, they corresponded to similar average high tide salinities in each estuary: areas classified as salt marsh occurred from the mouth up to where average high tide salinity in the water was approximately 15 psu;Juncus ranged from 21 to 1 psu; brackish marsh ranged from 15 to 1 psu; and fresh marsh was upstream of 1 psu. Approximately 63% of the 6,786 ha of tidal marsh vegetation mapped in the Altamaha and 75% of the 10,220 ha mapped in the Satilla remained the same in all 3 yr.Juncus was the dominant classification in the intermediate regions of both estuaries, and shifts between areas classified asJuncus and either brackish or salt marsh constituted the primary vegetation change between 1953 and 1993 (87% of the changes observed in the Altamaha and 95% of those in the Satilla). This analysis suggests that the broad distribution of tidal marsh vegetation along these two estuaries is driven by salinity, but that at the local scale these are dynamic systems with a larger number of factors affecting the frequently changing borders of vegetation patches.
引用
收藏
页码:670 / 683
页数:13
相关论文
共 50 条
  • [41] Vegetation zonation in a former tidal area: A vegetation-type response model based on DCA and logistic regression using GIS
    vandeRijt, CWCJ
    Hazelhoff, L
    Blom, CWPM
    [J]. JOURNAL OF VEGETATION SCIENCE, 1996, 7 (04) : 505 - 518
  • [42] ANALYSIS OF FRESH-WATER WETLAND VEGETATION WITH LARGE-SCALE COLOR INFRARED AERIAL-PHOTOGRAPHY
    LOVVORN, JR
    KIRKPATRICK, CM
    [J]. JOURNAL OF WILDLIFE MANAGEMENT, 1982, 46 (01): : 61 - 70
  • [43] Mapping and characterising subtropical estuarine landscapes using aerial photography and GIS for potential application in wildlife conservation and management
    Zharikov, Y
    Skilleter, GA
    Loneragan, NR
    Taranto, T
    Cameron, BE
    [J]. BIOLOGICAL CONSERVATION, 2005, 125 (01) : 87 - 100
  • [44] Mapping properties of vegetation in a tidal salt marsh from multi-spectral satellite imagery using the SCOPE model
    Meng, Lei
    Huang, Ying
    Zhu, Nanhuanuowa
    Chen, Zihan
    Li, Xiuzhen
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2021, 42 (02) : 422 - 444
  • [45] Using Aerial Photography and Image Analysis to Measure Changes in Giant Reed Populations
    Everitt, J. H.
    Yang, C.
    [J]. JOURNAL OF AQUATIC PLANT MANAGEMENT, 2010, 48 : 47 - 51
  • [46] Mapping freshwater marsh species in the wetlands of Lake Okeechobee using very high-resolution aerial photography and lidar data
    Zhang, Caiyun
    Denka, Sara
    Mishra, Deepak R.
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2018, 39 (17) : 5600 - 5618
  • [47] Determining the drivers of suspended sediment dynamics in tidal marsh-influenced estuaries using high-resolution ocean color remote sensing
    Zhang, Xiaohe
    Fichot, Cedric G.
    Baracco, Carly
    Guo, Ruizhe
    Neugebauer, Sydney
    Bengtsson, Zachary
    Ganju, Neil
    Fagherazzi, Sergio
    [J]. REMOTE SENSING OF ENVIRONMENT, 2020, 240
  • [48] Analysis of patterns in diadromous fish distributions using GIS
    Eikaas, Hans S.
    Kliskey, Andrew D.
    McIntosh, Angus R.
    [J]. Transactions in GIS, 2006, 10 (03) : 469 - 483
  • [49] Using historical records, aerial photography and dendroecological methods to determine vegetation changes in a grassy woodland since European settlement
    Franco, Julia A.
    Morgan, John W.
    [J]. AUSTRALIAN JOURNAL OF BOTANY, 2007, 55 (01) : 1 - 9
  • [50] Vegetation pattern analysis in Rudraprayag district using remote sensing and GIS
    G P. Raturi
    A. B. Bhatt
    [J]. Journal of the Indian Society of Remote Sensing, 2004, 32 : 217 - 224