Remote sensing to study mangrove fragmentation and its impacts on leaf area index and gross primary productivity in the South of Peninsular Malaysia

Mangrove is classified as an important ecosystem along the shorelines of tropical and subtropical landmasses, which are being degraded at an alarming rate despite numerous international treaties having been agreed. Iskandar Malaysia (IM) is a fast-growing economic region in southern Peninsular Malay...

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Main Authors: Kanniah, Kasturi Devi, Kang, Chuen Siang, Sharma, Sahadev, Amir, A. Aldrie
Format: Article
Published: MDPI 2021
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Online Access:http://eprints.um.edu.my/26631/
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spelling my.um.eprints.266312022-03-31T09:58:44Z http://eprints.um.edu.my/26631/ Remote sensing to study mangrove fragmentation and its impacts on leaf area index and gross primary productivity in the South of Peninsular Malaysia Kanniah, Kasturi Devi Kang, Chuen Siang Sharma, Sahadev Amir, A. Aldrie GF Human ecology. Anthropogeography Q Science (General) QE Geology T Technology (General) TR Photography Mangrove is classified as an important ecosystem along the shorelines of tropical and subtropical landmasses, which are being degraded at an alarming rate despite numerous international treaties having been agreed. Iskandar Malaysia (IM) is a fast-growing economic region in southern Peninsular Malaysia, where three Ramsar Sites are located. Since the beginning of the 21st century (2000-2019), a total loss of 2907.29 ha of mangrove area has been estimated based on medium-high resolution remote sensing data. This corresponds to an annual loss rate of 1.12%, which is higher than the world mangrove depletion rate. The causes of mangrove loss were identified as land conversion to urban, plantations, and aquaculture activities, where large mangrove areas were shattered into many smaller patches. Fragmentation analysis over the mangrove area shows a reduction in the mean patch size (from 105 ha to 27 ha) and an increase in the number of mangrove patches (130 to 402), edge, and shape complexity, where smaller and isolated mangrove patches were found to be related to the rapid development of IM region. The Moderate Resolution Imaging Spectro-radiometer (MODIS) Leaf Area Index (LAI) and Gross Primary Productivity (GPP) products were used to inspect the impact of fragmentation on the mangrove ecosystem process. The mean LAI and GPP of mangrove areas that had not undergone any land cover changes over the years showed an increase from 3.03 to 3.55 (LAI) and 5.81 g C m(-2) to 6.73 g C m(-2) (GPP), highlighting the ability of the mangrove forest to assimilate CO2 when it is not disturbed. Similarly, GPP also increased over the gained areas (from 1.88 g C m(-2) to 2.78 g C m(-2)). Meanwhile, areas that lost mangroves, but replaced them with oil palm, had decreased mean LAI from 2.99 to 2.62. In fragmented mangrove patches an increase in GPP was recorded, and this could be due to the smaller patches (<9 ha) and their edge effects where abundance of solar radiation along the edges of the patches may increase productivity. The impact on GPP due to fragmentation is found to rely on the type of land transformation and patch characteristics (size, edge, and shape complexity). The preservation of mangrove forests in a rapidly developing region such as IM is vital to ensure ecosystem, ecology, environment, and biodiversity conservation, in addition to providing economical revenue and supporting human activities. MDPI 2021-04 Article PeerReviewed Kanniah, Kasturi Devi and Kang, Chuen Siang and Sharma, Sahadev and Amir, A. Aldrie (2021) Remote sensing to study mangrove fragmentation and its impacts on leaf area index and gross primary productivity in the South of Peninsular Malaysia. Remote Sensing, 13 (8). ISSN 2072-4292, DOI https://doi.org/10.3390/rs13081427 <https://doi.org/10.3390/rs13081427>. 10.3390/rs13081427
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic GF Human ecology. Anthropogeography
Q Science (General)
QE Geology
T Technology (General)
TR Photography
spellingShingle GF Human ecology. Anthropogeography
Q Science (General)
QE Geology
T Technology (General)
TR Photography
Kanniah, Kasturi Devi
Kang, Chuen Siang
Sharma, Sahadev
Amir, A. Aldrie
Remote sensing to study mangrove fragmentation and its impacts on leaf area index and gross primary productivity in the South of Peninsular Malaysia
description Mangrove is classified as an important ecosystem along the shorelines of tropical and subtropical landmasses, which are being degraded at an alarming rate despite numerous international treaties having been agreed. Iskandar Malaysia (IM) is a fast-growing economic region in southern Peninsular Malaysia, where three Ramsar Sites are located. Since the beginning of the 21st century (2000-2019), a total loss of 2907.29 ha of mangrove area has been estimated based on medium-high resolution remote sensing data. This corresponds to an annual loss rate of 1.12%, which is higher than the world mangrove depletion rate. The causes of mangrove loss were identified as land conversion to urban, plantations, and aquaculture activities, where large mangrove areas were shattered into many smaller patches. Fragmentation analysis over the mangrove area shows a reduction in the mean patch size (from 105 ha to 27 ha) and an increase in the number of mangrove patches (130 to 402), edge, and shape complexity, where smaller and isolated mangrove patches were found to be related to the rapid development of IM region. The Moderate Resolution Imaging Spectro-radiometer (MODIS) Leaf Area Index (LAI) and Gross Primary Productivity (GPP) products were used to inspect the impact of fragmentation on the mangrove ecosystem process. The mean LAI and GPP of mangrove areas that had not undergone any land cover changes over the years showed an increase from 3.03 to 3.55 (LAI) and 5.81 g C m(-2) to 6.73 g C m(-2) (GPP), highlighting the ability of the mangrove forest to assimilate CO2 when it is not disturbed. Similarly, GPP also increased over the gained areas (from 1.88 g C m(-2) to 2.78 g C m(-2)). Meanwhile, areas that lost mangroves, but replaced them with oil palm, had decreased mean LAI from 2.99 to 2.62. In fragmented mangrove patches an increase in GPP was recorded, and this could be due to the smaller patches (<9 ha) and their edge effects where abundance of solar radiation along the edges of the patches may increase productivity. The impact on GPP due to fragmentation is found to rely on the type of land transformation and patch characteristics (size, edge, and shape complexity). The preservation of mangrove forests in a rapidly developing region such as IM is vital to ensure ecosystem, ecology, environment, and biodiversity conservation, in addition to providing economical revenue and supporting human activities.
format Article
author Kanniah, Kasturi Devi
Kang, Chuen Siang
Sharma, Sahadev
Amir, A. Aldrie
author_facet Kanniah, Kasturi Devi
Kang, Chuen Siang
Sharma, Sahadev
Amir, A. Aldrie
author_sort Kanniah, Kasturi Devi
title Remote sensing to study mangrove fragmentation and its impacts on leaf area index and gross primary productivity in the South of Peninsular Malaysia
title_short Remote sensing to study mangrove fragmentation and its impacts on leaf area index and gross primary productivity in the South of Peninsular Malaysia
title_full Remote sensing to study mangrove fragmentation and its impacts on leaf area index and gross primary productivity in the South of Peninsular Malaysia
title_fullStr Remote sensing to study mangrove fragmentation and its impacts on leaf area index and gross primary productivity in the South of Peninsular Malaysia
title_full_unstemmed Remote sensing to study mangrove fragmentation and its impacts on leaf area index and gross primary productivity in the South of Peninsular Malaysia
title_sort remote sensing to study mangrove fragmentation and its impacts on leaf area index and gross primary productivity in the south of peninsular malaysia
publisher MDPI
publishDate 2021
url http://eprints.um.edu.my/26631/
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score 13.160551