Evaluating mangrove conservation and sustainability through spatiotemporal (1990–2020) mangrove cover change analysis in Pakistan. (5th February 2021)

• Record Type: Journal Article
• Authors: Gilani, Hammad; Naz, Hafiza Iqra; Arshad, Masood; Nazim, Kanwal; Akram, Usman; Abrar, Aneeqa; Asif, Muhammad
• Is Part Of: Estuarine, coastal and shelf science. Volume 249(2021)
• Publication Date: 2021-02-05
• Subjects: Mangrove in Pakistan -- Google Earth Engine (GEE) -- Random Forest (RF) -- Mangrove fragmentation -- Mangrove conservation; Estuarine oceanography -- Periodicals; Coasts -- Periodicals; Estuarine biology -- Periodicals; Seashore biology -- Periodicals; Coasts; Estuarine biology; Estuarine oceanography; Seashore biology; Periodicals; 551.461805
• DOI: 10.1016/j.ecss.2020.107128
• Languages: English
• ISSNs: 0272-7714

Abstract

Abstract: This study provides the first comprehensive mangrove cover change assessment from 1990 to 2020, at five-year intervals, across all five mangrove areas in Pakistan, i.e. Indus Delta, Sandspit, Sonmiani, Kalmat Khor, and Jiwani. Using the Google Earth Engine (GEE) geospatial cloud computing platform, Random Forest (RF) classifier was applied on Landsat 30 m spatial resolution satellite images to classify three major land cover classes: 'mangrove', 'water' and 'other'. High temporal and spectral resolutions of Landsat images, with a low saturation level of spectral bands with the integration of indices, are the main factors that ensured >90% overall accuracy of land cover maps. Over the last three decades (1990–2020), the annual rate of change calculation, cross-tabulated method, and fragmentation analysis were carried out to identify the changes in mangrove cover. Overall, the findings of this paper revealed that, at the national scale, an estimated 477.22 km 2 was covered with mangrove in 1990, which increased to 1463.59 km 2 in 2020, a 3.74% annual rate of change. Mangrove fragmentation mapping results have also showed enhancement in mangrove tree canopy density. Due to planting and effective conservation practices, the current study shows positive changes in mangrove cover across all five study sites. The findings of this study will prove useful for design and implementation of mangrove ecosystem management plans, initiatives for adaptation to extreme weather events, carbon budgeting, and others. Highlights: Mangrove cover change assessment (1990–2020), across all five mangrove sites in Pakistan. Landsat satellite images classified in Google Earth Engine using Random Forest classifier. At national scale, 477.22 km 2 mangrove cover in 1990 increased to 1463.59 km 2 in 2020. Mangrove fragmentation results showed enhancement in mangrove tree canopy density. Due to plantations and conservation practices, positive changes in mangrove recorded.