Coastal wetland ecosystems deliver large carbon stocks in tropical Mexico

Sjögersten, Sofie; Barreda-Bautista, Betsabé de la; Brown, Chloe; Boyd, Doreen S.; López‐Rosas, Hugo; Hernández, E.; Monroy, R. Martín; Rincón, Matilde; Vane, Christopher H.; Moss‐Hayes, Vicky; Gallardo-Cruz, J. Alberto; Infante-Mata, Dulce; Hoyos‐Santillan, Jorge; Solórzano, Jonathan V.; Peralta-Carreta, Candelario; Moreno‐Casasola, Patricia

doi:10.1016/j.geoderma.2021.115173

Cited by 22 publications

(15 citation statements)

References 82 publications

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“…These results indicated a positive relationship between NDVI and measured AGB. Similar research on mangroves biomass modeling in tropical Mexico, Boquilla-Mancha, using Sentinel-2 (Sjögersten et al, 2021), derived 0.57 for the R 2 value. However, Thuy et al (2020), using a similar non-linear regression, obtained a slightly higher coefficient of determination R 2 of 0.67, while (Purnamasari et al, 2021) obtained an R 2 of 0.51 for the regression function between field-measured AGC and NDVI.…”

Section: Estimating the Carbon Stock In Mangrovessupporting

confidence: 53%

“…The ecosystem services provided by mangroves are wide-spreading, therefore, their valuable existence is undeniable, particularly for carbon sequestration (Jones et al, 2020;Kusumaningtyas et al, 2022), climate change mitigation (Jennerjahn, 2021;Sjögersten et al, 2021), coastal protection (Karimi et al, 2022), and many socio-economic benefits from ecological function (Trialfhianty et al, 2022). As the particular tropical and sub-tropical vegetation, mangroves inhabit almost all of Indonesia's coastline.…”

Section: Introductionmentioning

confidence: 99%

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Utilization of Sentinel-2 Imagery in Mapping the Distribution and Estimation of Mangroves' Carbon Stocks in Bengkulu City

Sugara

Lukman²,

Rudiastuti³

et al. 2022

Geos. Ind.

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The mangroves' aboveground biomass significantly contributes to the global carbon cycle or economic and ecological values. This makes knowledge about the spatial extent of the mangroves indispensable for policymakers. The sequence of mangroves’ condition range also requires remote sensing data to update the geographical information and synthesize carbon stock in Bengkulu. Therefore, this study aims to create a spatial distrribution of mangroves and evaluate their carbon stock in Bengkulu City using Sentinel-2 imagery. The semi-empirical method uses Sentinel-2 imagery through NDVI to appraise and picture the mangroves' aboveground carbon stock. An allometric equation was used to compute the mangroves' aboveground carbon stock from field measurements. Non-linear regression was used to establish a connection between the NDVI calculated from the Sentinel-2 imagery and the mangroves' aboveground biomass measured in the field, which was subsequently used for aboveground carbon estimation. The results showed that mangroves mapping could derive overall accuracy of 89.09%, where the high-density class existed in 135.12 Ha of total area. It was also discovered that Sentinel-2 imagery could estimate mangroves carbon stock up to 61%. The carbon stock estimation based on the imagery has a value of 16.3992 – 115.134 t C/ha, while that of field survey data ranges from 19.69 to 326.06 t C/ha. These results showed that Sentinel-2B spectral data is functional and has a good chance of being able to predict carbon stock. Keywords : Carbon; mangroves; NDVI; remote sensing; sentinel-2B Copyright (c) 2022 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License

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Section: Estimating the Carbon Stock In Mangrovessupporting

confidence: 53%

Section: Introductionmentioning

confidence: 99%

Utilization of Sentinel-2 Imagery in Mapping the Distribution and Estimation of Mangroves' Carbon Stocks in Bengkulu City

Sugara

Lukman²,

Rudiastuti³

et al. 2022

Geos. Ind.

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“…Tan solo Sjögersten et al (2021), al evaluar las reservas de C en tres regiones de México (Veracruz, Campeche y Chiapas), encontraron diferencias significativas entre cada complejo de humedales evaluados. Esto permite que al menos a nivel local y regional el establecimiento de ecuaciones alométricas sea de gran utilidad y confiabilidad al momento de la realización de inventarios de biomasa y C con enfoque en la prevención y el control de incendios.…”

Section: Discussionunclassified

Combustibilidad de las especies de humedales herbáceos en la Reserva de la Biósfera La Encrucijada (México): el uso de ecuaciones alométricas

Barrios-Calderón

Mata

Garnica

et al. 2023

Nat. Soc.: Desafíos Medioambient.

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Los tulares y popales son humedales herbáceos que dan lugar al inicio y propagación de incendios que se expanden hacia humedales arbóreos como los manglares y las selvas inundables. Es por ello que resulta importante evaluar la combustibilidad de esa biomasa herbácea que representa un alto potencial de ignición. Por lo anterior, el objetivo del presente estudio fue determinar las variables alométricas para correlacionar la biomasa del peso seco (combustibilidad) de las especies dominantes de los tulares y popales en tres parajes de la Reserva de la Biósfera La Encrucijada en el Sitio Ramsar 815, ubicado en el sur de México. A partir de ello, se generaron ecuaciones alométricas de las especies más representativas. Las variables evaluadas fueron: altura, cobertura y diámetros (mayor y menor) de las especies de los tulares y popales. Se colectaron individuos de las diez especies más representativas en cuanto a cobertura e índice de valor de importancia y, con ello, se plantearon ecuaciones alométricas empleando los análisis estadísticos correspondientes. Los resultados muestran que las especies del tular de mayor importancia son: Typha domingensis, Cyperus giganteus y Arundo donax; la especie más importante en el popal es Thalia geniculata. La variable altura tiene el mayor coeficiente de correlación con respecto al peso seco en el 70 % de las especies evaluadas, con lo cual se destaca como la más adecuada para construir los modelos alométricos. Sin embargo, en combinación con otras variables, se pueden obtener ecuaciones con un R2 mayor. Los resultados obtenidos permiten valorar los combustibles herbáceos en tulares y popales, calcular su biomasa potencial y definir, en relación con la cobertura y la distribución de las especies, las áreas que son más propensas a incendios.

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“…This type of algorithms are considered to be, pixel-wise, spectral classifiers and do not consider the spatial dependence on neighboring pixels (Sheykhmousa et al, 2020). In the case of low spatial resolution images, the RF method consistently offers better results, compared to the SVM method (Liu et al 2021); while the SVM allows for better results when using medium to high spatial resolution images (Adam et al, 2014, Noi and Kappas, 2018, Sjögersten et al, 2021. The estuary mangroves are forests along riverbeds, canals and streams of the San Pedro y San Pablo river and along the Grijalva river.…”

Section: Design Strategy For the Lulc Mapmentioning

confidence: 99%

“…Optical sensors such as Sentinel-2 (S2) and Landsat imagery, are often used in LULC studies to determine the extension of water bodies in wetlands (Pena-Reguei-ro et al, 2020), to delineate the wetland extension and area (Bhatnagar et al, 2020, Perea-Ardila et al, 2019, and to estimate the amount of carbon storage in wetlands (Were et al 2019, Zamora et al, 2020. Sjögersten et al (2021) carried out a study to estimate the above and below ground-C stocks in swamp forests, marshes and grazed wetlands in three different regions in Mexico. They reported that freshwater swamp forests and marshlands are important carbon deposits and wetlands that have turned into grasslands, contain a smaller amount of stored carbon.…”

Section: Introductionmentioning

confidence: 99%

Wetland landscape based on Sentinel-2 images and geo-tagged photographs in Centla, Tabasco

López‐Caloca

Gamas

Aguilar

2021

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This is an analysis of the geographic landscape in the Centla wetlands of Tabasco, Mexico. A map shows the use of remote sensing data combined with easily understood and conveyed visual descriptive data which show the ecological conditions of the landscape. The central map of this article presents a land use and land cover study, obtained from Sentinel-2 MSI data for the Centla wetland zones. The support vector machine algorithm is used to classify Sentinel-2 images. The results show a high general precision of 90.0%, as well as high precision in separating types of wetlands. Information obtained during fieldwork at the ground level is inserted in the map, comprised of photos taken with a mobile application along the Grijalva and the San Pedro y San Pablo rivers. These photos provide visual verification of the map.

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Coastal wetland ecosystems deliver large carbon stocks in tropical Mexico

Cited by 22 publications

References 82 publications

Utilization of Sentinel-2 Imagery in Mapping the Distribution and Estimation of Mangroves' Carbon Stocks in Bengkulu City

Utilization of Sentinel-2 Imagery in Mapping the Distribution and Estimation of Mangroves' Carbon Stocks in Bengkulu City

Combustibilidad de las especies de humedales herbáceos en la Reserva de la Biósfera La Encrucijada (México): el uso de ecuaciones alométricas

Wetland landscape based on Sentinel-2 images and geo-tagged photographs in Centla, Tabasco

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