The Use of Imagery and GIS Techniques to Evaluate and Compare Seagrass Dynamics across Multiple Spatial and Temporal Scales

被引:10
作者
Kaufman, Kristen A. [1 ]
Bell, Susan S. [2 ]
机构
[1] NOAA, Off Habitat Conservat, Restorat Ctr, Southeast Reg,Natl Marine Fisheries Serv, 263 13th Ave South, St Petersburg, FL 33701 USA
[2] Univ S Florida, Dept Integrat Biol, Tampa, FL 33620 USA
基金
美国海洋和大气管理局;
关键词
Seagrass; Aerial imagery; Tampa Bay; Fragmentation; Spatial scale; GIS; TAMPA BAY; SOUTHWEST FLORIDA; AERIAL-PHOTOGRAPHY; MAPPING SEAGRASS; LANDSCAPE; RECOVERY; PATTERN; COVERAGE; TRENDS; GROWTH;
D O I
10.1007/s12237-020-00773-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Using aerial imagery and GIS techniques, a retrospective study conducted fine-scale (1.0 m(2)resolution) seagrass mapping to document the spatial heterogeneity within seagrass habitats previously mapped at a broad scale (0.202 ha resolution). Thirty randomly selected estuarine habitats in Tampa Bay, Florida, were manually interpreted and digitized using 0.3 m resolution imagery from 2004, 2006, and 2008. Seagrass patches and patterns of seagrass change were quantified at multiple levels of spatial organization and multiple temporal scales. Habitats classified as patchy seagrass were found to contain, on average, 52.7% less seagrass when mapped using the patch-based, fine-scale approach compared to broad-scale map data. In higher-resolution mapping, seagrass was increasingly differentiated from bare sediment and the amount of seagrass quantified within the study's extent was reduced compared to broad-scale mapping, which included some bare area in estimates of seagrass cover. Additionally, fine-scale mapping detected the presence of seagrass on tidal flat habitat that was previously considered "unvegetated" in broad-scale mapping. These findings can be used to improve the definitions of broad-scale mapping classes and suggest the selection of smaller ratio digitizing scales when mapping complex or sparsely covered seagrass habitats. Overall, fine-scale mapping at a large spatial extent provided insights into the patterning and rate of seagrass gap formation and fragmentation, appears to be a reasonable method for local studies or resource disturbance assessments, and has potential applications as a training tool for further advancement of semi-automated classification techniques.
引用
收藏
页码:1028 / 1044
页数:17
相关论文
共 54 条
[1]   Mapping seagrass and colonized hard bottom in Springs Coast, Florida using WorldView-2 satellite imagery [J].
Baumstark, Rene ;
Duffey, Renee ;
Pu, Ruiliang .
ESTUARINE COASTAL AND SHELF SCIENCE, 2016, 181 :83-92
[2]   Gap dynamics in a seagrass landscape [J].
Bell, SS ;
Robbins, BD ;
Jensen, SL .
ECOSYSTEMS, 1999, 2 (06) :493-504
[3]   Seagrass landscapes and their effects on associated fauna:: A review [J].
Bostrom, Christoffer ;
Jackson, Emma L. ;
Simenstad, Charles A. .
ESTUARINE COASTAL AND SHELF SCIENCE, 2006, 68 (3-4) :383-403
[4]   Flood related loss and recovery of intertidal seagrass meadows in southern Queensland, Australia [J].
Campbell, SJ ;
McKenzie, LJ .
ESTUARINE COASTAL AND SHELF SCIENCE, 2004, 60 (03) :477-490
[5]   Vulnerability and resilience of seagrasses to hurricane and runoff impacts along Florida's west coast [J].
Carlson, Paul R., Jr. ;
Yarbro, Laura A. ;
Kaufman, Kristen A. ;
Mattson, Robert A. .
HYDROBIOLOGIA, 2010, 649 (01) :39-53
[6]  
Duarte CM, 2006, SEAGRASSES: BIOLOGY, ECOLOGY AND CONSERVATION, P271
[7]   Seagrass ecology at the turn of the millennium: challenges for the new century [J].
Duarte, CM .
AQUATIC BOTANY, 1999, 65 (1-4) :7-20
[8]  
Feagin RA, 2006, WETLANDS, V26, P1004, DOI 10.1672/0277-5212(2006)26[1004:SPAECI]2.0.CO
[9]  
2
[10]   A Semiautomated Approach for Monitoring Landscape Changes in Texas Seagrass Beds from Aerial Photography [J].
Fletcher, Reginald S. ;
Pulich, Warren, Jr. ;
Hardegree, Beau .
JOURNAL OF COASTAL RESEARCH, 2009, 25 (02) :500-506