The relationship of spatial–temporal changes in fringe mangrove extent and adjacent land-use: Case study of Kien Giang coast, Vietnam

Nguyen, Hai-Hoa; McAlpine, Clive; Pullar, David; Johansen, Kasper; Duke, Norman C.

doi:10.1016/j.ocecoaman.2013.01.003

Cited by 79 publications

(43 citation statements)

References 55 publications

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“…In adherence with methods described in Jones et al [25] for AAB, and Jones et al [61] for MHJ, for TMD and BdA, supervised classification of Landsat data was employed to produce maps of class distributions using the maximum likelihood (ML) algorithm. Numerous studies have shown the effectiveness of ML for classifying mangrove habitat with Landsat-like data [25,58,60,61,73,95,[103][104][105][106][107][108]. The accuracies of resulting maps were quantified using confusion matrices, which cross-tabulate independent validation data against mapped classes.…”

Section: Supervised Image Classificationmentioning

confidence: 99%

Madagascar’s Mangroves: Quantifying Nation-Wide and Ecosystem Specific Dynamics, and Detailed Contemporary Mapping of Distinct Ecosystems

et al. 2016

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Mangrove ecosystems help mitigate climate change, are highly biodiverse, and provide critical goods and services to coastal communities. Despite their importance, anthropogenic activities are rapidly degrading and deforesting mangroves world-wide. Madagascar contains 2% of the world's mangroves, many of which have undergone or are starting to exhibit signs of widespread degradation and deforestation. Remotely sensed data can be used to quantify mangrove loss and characterize remaining distributions, providing detailed, accurate, timely and updateable information. We use USGS maps produced from Landsat data to calculate nation-wide dynamics for Madagascar's mangroves from 1990 to 2010, and examine change more closely by partitioning the national distribution in to primary (i.e., >1000 ha) ecosystems; with focus on four Areas of Interest (AOIs): Ambaro-Ambanja Bays (AAB), Mahajamba Bay (MHJ), Tsiribihina Manombolo Delta (TMD) and Bay des Assassins (BdA). Results indicate a nation-wide net-loss of 21% (i.e., 57,359 ha) from 1990 to 2010, with dynamics varying considerably among primary mangrove ecosystems. Given the limitations of national-level maps for certain localized applications (e.g., carbon stock inventories), building on two previous studies for AAB and MHJ, we employ Landsat data to produce detailed, contemporary mangrove maps for TMD and BdA. These contemporary, AOI-specific maps provide improved detail and accuracy over the USGS national-level maps, and are being applied to conservation and restoration initiatives through the Blue Ventures' Blue Forests programme and WWF Madagascar West Indian Ocean Programme Office's work in the region.

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Section: Supervised Image Classificationmentioning

confidence: 99%

Madagascar’s Mangroves: Quantifying Nation-Wide and Ecosystem Specific Dynamics, and Detailed Contemporary Mapping of Distinct Ecosystems

et al. 2016

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“…Numerous studies support ML as an effective and robust algorithm for classifying mangrove habitat with medium spatial resolution remotely sensed data [77,79,81,97,[104][105][106][107][108][109]. Accuracy was quantitatively assessed using a confusion matrix to cross-tabulate mapped classes against independent validation data.…”

Section: Image Classificationmentioning

confidence: 99%

“…Maps produced from remotely sensed data can enable the partitioning of mangrove ecosystems by ecological differences and statistically distinct C stock values. Of particular note, Landsat imagery is freely available, offers >40 years of data and has proven critical for both locating and quantifying mangrove extent and loss and partitioning mangrove ecosystems to estimate C stocks [40,[69][70][71][72][73][74][75][76][77][78][79].…”

Section: Introductionmentioning

confidence: 99%

Ecological Variability and Carbon Stock Estimates of Mangrove Ecosystems in Northwestern Madagascar

Jones

Ratsimba

Ravaoarinorotsihoarana

et al. 2014

Forests

108

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Mangroves are found throughout the tropics, providing critical ecosystem goods and services to coastal communities and supporting rich biodiversity. Despite their value, world-wide, mangroves are being rapidly degraded and deforested. Madagascar contains approximately 2% of the world's mangroves, >20% of which has been deforested since 1990 from increased extraction for charcoal and timber and conversion to small to large-scale agriculture and aquaculture. Loss is particularly prominent in the northwestern Ambaro and Ambanja bays. Here, we focus on Ambaro and Ambanja bays, presenting dynamics calculated using United States Geological Survey (USGS) national-level mangrove maps and the first localized satellite imagery derived map of dominant land-cover types. The analysis of USGS data indicated a loss of 7659 ha (23.7%) and a gain of 995 ha (3.1%) from 1990-2010. Contemporary mapping results were 93.4% accurate overall (Kappa 0.9), with producer's and user's accuracies ≥85%. Classification results allowed partitioning mangroves in to ecologically meaningful, spectrally distinct strata, wherein field measurements facilitated estimating the first total carbon stocks for mangroves in Madagascar. Estimates suggest that higher stature closed-canopy mangroves have average total vegetation carbon values of 146.8 Mg/ha (±10.2) and soil organic OPEN ACCESSForests 2014, 5 178 carbon of 446.2 (±36.9), supporting a growing body of studies that mangroves are amongst the most carbon-dense tropical forests.

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“…Analisis citra menggunakan software ER Mapper 7.0 dan Arc Gis 10.1 (Santos et al 2014, Li et al 2013, Nguyen et al 2013.…”

Section: Analisis Data Citramentioning

confidence: 99%

Sustainability Status of Mangrove Ecosystem Management in Sembilang National Park, Banyuasin Regency, South Sumatera Province

Theresia

Boer

Pratiwi

2016

J. Ilmu dan Teknologi Kelautan Tropis

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The utilization of mangrove in Sembilang National Park area has increased lately so that it is necessary to assess the sustainability of the mangrove ecosystem management in the region. The study was conducted in March-April 2015 Keywords: sembilang national park, RAPFISH, mangrove ecosystem management ABSTRAKPemanfaatan mangrove di kawasan Taman Nasional Sembilang mengalami perkembangan yang sangat pesat sehingga diperlukan penilaian keberlanjutan terhadap pengelolaan ekosistem mangrove di daerah ini. Penelitian ini dilakukan pada bulan Maret -April 2015. Lokasi penelitian di Kawasan Taman Nasional Sembilang Kabupaten. Banyuasin Sumatera Selatan. Data primer diperoleh melalui pengamatan dan wawancara (86 responden) dengan metode purposive sampling. Dengan menggunakan metode Multi Dimensional Scaling (MDS) melalui pendekatan RAPFISH (Rapid Asessment Technique for Fisheries) dapat menentukan status keberlanjutan serta memberikan rekomendasi strategi pengelolaan melalui setiap atribut dimensi yang sensitif. Status keberlanjutan pengelolaan mangrove di Taman Nasional Sembilang Kabupaten Banyuasin Sumatera Selatan adalah "Kurang berkelanjutan"dengan nilai indeks keberlanjutan multidimensi 49,81. Atribut yang menjadi prioritas untuk diperbaiki dalam rangka meningkatkan status keberlanjutan pengelolaan ekosistem mangrove yaitu perubahan luasan mangrove, peningkatan pengetahuan masyarakat terhadap ekosistem mangrove, konflik kepentingan dan kearifan lokal. Alternatif strategi pengelolaan ekosistem mangrove yang menjadi prioritas utama ialah pemberdayaan masyarakat yang bisa memiliki keterampilan dalam pemanfaatan mangrove yang lestari.

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The relationship of spatial–temporal changes in fringe mangrove extent and adjacent land-use: Case study of Kien Giang coast, Vietnam

Cited by 79 publications

References 55 publications

Madagascar’s Mangroves: Quantifying Nation-Wide and Ecosystem Specific Dynamics, and Detailed Contemporary Mapping of Distinct Ecosystems

Madagascar’s Mangroves: Quantifying Nation-Wide and Ecosystem Specific Dynamics, and Detailed Contemporary Mapping of Distinct Ecosystems

Ecological Variability and Carbon Stock Estimates of Mangrove Ecosystems in Northwestern Madagascar

Sustainability Status of Mangrove Ecosystem Management in Sembilang National Park, Banyuasin Regency, South Sumatera Province

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