Conservation and restoration of mangroves: Global status, perspectives, and prognosis

Romañach, Stephanie S.; Jiang, Jiang; Koh, Hock Lye; Li, Yuhong; Teh, Su Yean; Barizan, Raja Sulaiman Raja; Zhai, Lu

doi:10.1016/j.ocecoaman.2018.01.009

Cited by 306 publications

(187 citation statements)

References 67 publications

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“…In this study, we tested the availability of GRAS-Di for ecological studies using estuarine mangrove fishes, and this paper represents the first full article using GRAS-Di. While mangrove ecosystems provide nurseries and habitats for animals from a wide range of taxa, they face various threats including destruction and fragmentation (Nagelkerken et al, 2008;Romañach et al, 2018). Thus, the genetic connectivity/ isolation of species utilizing mangroves is a major concern in ecology and conservation biology (Bryan-Brown, Brown, Hughes, & Connolly, 2017;Nagelkerken et al, 2008).…”

Section: China Japanmentioning

confidence: 99%

Random PCR‐based genotyping by sequencing technology GRAS‐Di (genotyping by random amplicon sequencing, direct) reveals genetic structure of mangrove fishes

Hosoya

Hirase

Kikuchi

et al. 2019

Molecular Ecology Resources

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While various technologies for high‐throughput genotyping have been developed for ecological studies, simple methods tolerant to low‐quality DNA samples are still limited. In this study, we tested the availability of a random PCR‐based genotyping‐by‐sequencing technology, genotyping by random amplicon sequencing, direct (GRAS‐Di). We focused on population genetic analysis of estuarine mangrove fishes, including two resident species, the Amboina cardinalfish (Fibramia amboinensis, Bleeker, 1853) and the Duncker's river garfish (Zenarchopterus dunckeri, Mohr, 1926), and a marine migrant, the blacktail snapper (Lutjanus fulvus, Forster, 1801). Collections were from the Ryukyu Islands, southern Japan. PCR amplicons derived from ~130 individuals were pooled and sequenced in a single lane on a HiSeq2500 platform, and an average of three million reads was obtained per individual. Consensus contigs were assembled for each species and used for genotyping of single nucleotide polymorphisms by mapping trimmed reads onto the contigs. After quality filtering steps, 4,000–9,000 putative single nucleotide polymorphisms were detected for each species. Although DNA fragmentation can diminish genotyping performance when analysed on next‐generation sequencing technology, the effect was small. Genetic differentiation and a clear pattern of isolation‐by‐distance was observed in F. amboinensis and Z. dunckeri by means of principal component analysis, FST and the admixture analysis. By contrast, L. fulvus comprised a genetically homogeneous population with directional recent gene flow. These genetic differentiation patterns reflect patterns of estuary use through life history. These results showed the power of GRAS‐Di for fine‐grained genetic analysis using field samples, including mangrove fishes.

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Section: China Japanmentioning

confidence: 99%

Random PCR‐based genotyping by sequencing technology GRAS‐Di (genotyping by random amplicon sequencing, direct) reveals genetic structure of mangrove fishes

Hosoya

Hirase

Kikuchi

et al. 2019

Molecular Ecology Resources

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“…Found in the coastal zones of more than 118 countries in the tropics, subtropics and temperate regions [1-3], mangroves have (for centuries) provided natural resources to local populations, including food (particularly fish and invertebrates) and timber. However, through processes such as population increases, industrialisation, urban expansion and globalisation, their extent has been reduced [4] and many have been fragmented or degraded [5], particularly in Southeast Asia, where about one third (32%) of the world's mangroves are located [6]. Many of the mangrove areas that have remained relatively intact are those that are remote, inaccessible, protected within conservation reserves or receive national protection, for example in Australia.…”

Section: Introductionmentioning

confidence: 99%

“…Many of the mangrove areas that have remained relatively intact are those that are remote, inaccessible, protected within conservation reserves or receive national protection, for example in Australia. Globally, mangroves are being increasingly affected by climatic fluctuations, including those induced by human activities [5]. At the same time, mangroves are receiving greater recognition for their role in food provision, coastal protection (e.g., from large storms), reserves of biodiversity [7] and as a large carbon store [8].…”

Section: Introductionmentioning

confidence: 99%

“…A fundamental requirement for mangrove protection and restoration is information about current and historical mangrove distributions and conditions. While critical for informing efforts that support conservation, sustainable management, and restoration of these ecosystems, data on mangrove status and extent are necessary to meet reporting requirements for signatories to the Ramsar Convention on Wetlands and other countries with mangroves in their territories who are striving to meet the Sustainable Development Goals [5,9].…”

Section: Introductionmentioning

confidence: 99%

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The Global Mangrove Watch—A New 2010 Global Baseline of Mangrove Extent

Rosenqvist²,

et al. 2018

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This study presents a new global baseline of mangrove extent for 2010 and has been released as the first output of the Global Mangrove Watch (GMW) initiative. This is the first study to apply a globally consistent and automated method for mapping mangroves, identifying a global extent of 137,600 km 2 . The overall accuracy for mangrove extent was 94.0% with a 99% likelihood that the true value is between 93.6-94.5%, using 53,878 accuracy points across 20 sites distributed globally. Using the geographic regions of the Ramsar Convention on Wetlands, Asia has the highest proportion of mangroves with 38.7% of the global total, while Latin America and the Caribbean have 20.3%, Africa has 20.0%, Oceania has 11.9%, North America has 8.4% and the European Overseas Territories have 0.7%. The methodology developed is primarily based on the classification of ALOS PALSAR and Landsat sensor data, where a habitat mask was first generated, within which the classification of mangrove was undertaken using the Extremely Randomized Trees classifier. This new globally consistent baseline will also form the basis of a mangrove monitoring system using JAXA JERS-1 SAR, ALOS PALSAR and ALOS-2 PALSAR-2 radar data to assess mangrove change from 1996 to the present. However, when using the product, users should note that a minimum mapping unit of 1 ha is recommended and that the error increases in regions of disturbance and where narrow strips or smaller fragmented areas of mangroves are present. Artefacts due to cloud cover and the Landsat-7 SLC-off error are also present in some areas, particularly regions of West Africa due to the lack of Landsat-5 data and persistence cloud cover. In the future, consideration will be given to the production of a new global baseline based on 10 m Sentinel-2 composites.

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“…Research on mangrove deforestation showed that mangrove decreased by 2.12% from 2000 to 2012 [28]. Mangrove forests in local areas, such as the Red River Delta, Mekong Delta, Kuching, etc., have been seriously damaged due to aquaculture, plantation expansion, and urbanization [29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Land Use Change in the Major Bays Along the Coast of the South China Sea in Southeast Asia from 1988 to 2018

Zhang

2020

Land

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Bays are some of the core areas for marine economic development. The South China Sea coast is one of the most developed and dynamic places in the Asia-Pacific. In this study, we focused on the large bays surrounding the South China Sea. The techniques of image segmentation and supervised classification as well as image interpretation were used to acquire land-use data of 41 bays from 1988 to 2018. Then, we quantified the intensity and pattern of land-use and land-cover change during the two periods. Plantation land was the dominant agriculture land type as well as the second land use type after natural forest. Agriculture land cover increased from 29.8% to 40.9% and the growth was driven by plantation expansion. Deforestation was serious, including both natural forests and mangroves. Natural forest cover decreased by 31.6% and mangrove cover decreased by 16.2%. The vast majority of forest loss occurred in Sumatra and western Kalimantan. Commodity-driven deforestation for plantations was the major reason for forest loss.

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Conservation and restoration of mangroves: Global status, perspectives, and prognosis

Cited by 306 publications

References 67 publications

Random PCR‐based genotyping by sequencing technology GRAS‐Di (genotyping by random amplicon sequencing, direct) reveals genetic structure of mangrove fishes

Random PCR‐based genotyping by sequencing technology GRAS‐Di (genotyping by random amplicon sequencing, direct) reveals genetic structure of mangrove fishes

The Global Mangrove Watch—A New 2010 Global Baseline of Mangrove Extent

Land Use Change in the Major Bays Along the Coast of the South China Sea in Southeast Asia from 1988 to 2018

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