Impact of land use land cover change on a sand dune ecosystem in Northwest Beach, Point Pelee National Park, Canada

被引:4
|
作者
Nayak, Pritichhanda Mohanty [1 ]
Byrne, Mary-Louise [1 ]
机构
[1] Wilfrid Laurier Univ, Dept Geog & Environm Studies, Waterloo, ON, Canada
关键词
Land use and land cover; Sand dunes; Segmentation; Aerial photo; Point Pelee; OBJECT; CLASSIFICATION; DYNAMICS; DISTRICT;
D O I
10.1016/j.jglr.2019.10.003
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper analyses Land use land cover (LULC) change in the Northwest (NW) Beach, Point Pelee National Park (PPNP) to understand its effect on sediment transport dynamics for sand dune restoration. Due to development of infrastructure, beginning in the 1960s, sand dunes were completely removed from parts of NW beach. Spatial-temporal changes for LULC were assessed using aerial photos and images for 1959, 1977, 2006 and 2015. Based on the Ecological Land Classification System (Southern Ontario), object based image analysis and feature extraction methods were used to generate classified maps. The photos were the highest quality available in the Parks Canada, PPNP archive. LULC classes included Shoreline Vegetation, Deciduous Thicket, Sand Barren and Dune Type, and Infrastructure. Aerial photographs of LULC change for 1959-1977 and South Western Ontario Orthoimagery Project (SWOOP) images for 2006-2015 were analysed. A large gap exists between 1977 and 2006 as no images were available for that time period. Results indicated a significant increase in the Deciduous Thicket in 2015, acting as a barrier for sand movement to the parking lots. Decrease in the Shoreline Vegetation Type along with an increase in the lake level indicate a decrease in beach width and supply area for sediment transport. Based on the analysis, active management through the removal of cottonwood trees, and policy changes are recommended for dune restoration in Point Pelee. Accuracy assessment of the 2015 classification using an error matrix resulted in an overall accuracy for the LULC classification of 88%. (C) 2019 International Association for Great Lakes Research. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:1047 / 1054
页数:8
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