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distribution of mangrove forest in the world

These spatially explicit maps of mangrove canopy height and AGB derived from space-borne remote sensing data and in situ measurements can be used to assess local-scale geophysical and environmental conditions that may regulate forest structure and carbon cycle dynamics. Rivera-Monroy, E. Castaneda-Moya, N. Thomas, and T. Van der Stocken. A regression model was applied relating GLAS RH100 to SRTM elevation measurements obtain a global map of maximum canopy height: where HSRTM represents the original SRTM DEM, and SRTMHmax is the new maximum canopy height data set. More than half of the world’s mangrove … The total aboveground carbon stocks per country were calculated assuming a stoichiometric factor of 0.451 as the AGB conversion factor. Salinity can still limit the distribution of mangroves, however, as can other environmental factors such as climate, tidal fluctuation, and sediment and wave energy. Maps revealed a wide range of canopy heights, including maximum values (> 62 m) that surpass maximum heights of other forest types. 2019. The countries with the largest area of mangroves are: Estimates of mangrove diversity indicate that there are 16-24 families and 54-75 species worldwide. Maps of the three data products are provided for each of 116 countries. Mangroves provide several important ‘free services’ including coastal stabilization, juvenile fishhabi… Simard, M., T. Fatoyinbo, C. Smetanka, V.H. The rate is as high as 3.6% in the Americas (Table 2). Here, we mapped the status and distributions of global mangroves using recently available Global Land Survey (GLS) data and the Landsat archive. The available global mangrove databases, compiled using disparate geospatial data… Regional and global models were generated between plot-level canopy height and plot-level AGB density, where height and AGB relationships were fitted to the regression model: where Hx can represent either Hba or Hmax. ORNL DAAC, Oak Ridge, Tennessee, USA. 2019. High-resolution insets in b–e: (b) Coastal Nariño and Cauca (Colombia),(c) Coastal Pará (Brazil), (d) Bombetoka Bay (Madagascar), and (e) Bintuni Bay (West Papua, Indonesia). Global map of mangrove maximum canopy height and location of sampling sites (numbers) where in situ data were collected. AGB was estimated for each individual tree tagged inside the plot, using regional or site-specific allometric equations as described by previous studies. Mangrove forests in coastal Gabon are the tallest globally with forest stands that were estimated up to 63 m. The photo insets show locations where individual trees were measured in situ up to 65 m tall (Simard et al., 2019). Results were validated with in situ canopy height measurements and aboveground biomass estimates from field plots distributed across three continents. of stems) was estimated for each plot and expressed per unit area (in ha). Hmax was defined as the height of the tallest tree within a plot. Certain species are found in monospecific bands parallel to the shore or in mosaics; however, patterns of distribution vary with location, both locally and regionally. (DAAC). Recommended Citation(s)*: Giri, C., E. Ochieng, L.L.Tieszen, Z. Zhu, A. Singh, T. Loveland, J. Masek, and N. Duke. Status and distribution of mangrove forests of the world using earth observation satellite data. This procedure is a two-step process where SRTM is converted to SRTMHba and then to AGB using appropriate field-derived Hba to AGB allometry. This map is coincidental with the SRTM data set (that is, they are both from 2000) and, so far, it is the only one that specifically maps mangroves from Landsat data at 30-m resolution. Mangrove forests are located in the tropics and sub-tropics but extend into temperate regions where they reach their geographical limits [1, 2]. Mangrove Action Project works with a variety of local and international entities to help preserve, restore, and educate on our global mangrove forests. Spatial variation, or zonation, is a common trait for mangrove forests both horizontally and vertically. Global Change Biology, 20, 3177–3190. The total area is nearly 10,000 km2. Improved allometric models to estimate the aboveground biomass of tropical trees. The SRTM estimates of Hmax (that is, SRTMHmax) were validated with in situ collected data in Pongara National Park to confirm the validity of the tallest canopy height values in Gabon. Forty species of mangroves dominate approximately 75% of the world’s tropical coastlines between 25° N and 25° S. In certain locations, this range extends beyond these limits due to the movement of unusually warm waters from the equator. About one third of the world’s mangroves are found in Asia (39%), followed by Africa (21%) and North and Central America (15%) (FAO, 2007). Maps revealed a wide range of canopy heights, including maximum values (> 62 m) that surpass maximum heights of other forest types. Nature Geoscience, 12: 40–45. This dataset characterizes the global distribution, biomass, and canopy height of mangrove-forested wetlands based on remotely sensed and in situ field measurement data. The total area of mangroves in the year 2000 was estimated at 137,760 km2 in 118 countries and territories in the tropical and subtropical regions of the world. Uncertainty was addressed by calibration with ICESat/GLAS Spaceborne Lidar mission data, refining the range of elevation data identified as mangrove cover, and subsequent validation by field data. Analysis of canopy height variance obtained from SRTM, lidar, and field measurements demonstrated that SRTM height characterizes mean overstory canopy height and maintains consistency over time when measuring canopy height in established mangrove forests. The greatest mangrove species diversity exists in SE Asia. Total root biomass was estimated as 49% of the AGB. ORNL DAAC, Oak Ridge, Tennessee, USA. Field data were used to estimate forest structure attributes (that is, Hba, Hmax and AGB). 2009. Colgan, W.B.C. Mangroves are found worldwide, but the greatest species diversity is in Southeast Asia, with only twelve species inhabiting New World countries, and only four of those are found in the United States along the southern coast. Aim: Our scientific understanding of the extent and distribution of mangrove forests of the world is inadequate.The available global mangrove databases, compiled using disparate geospatial data sources and national statistics, need to be improved. Delitti, A. Duque, T. Eid, P.M. Fearnside, R.C. The global model was generated using all of the plot data (n = 331) and Hba of the field data, while the regional models were generated for the Americas (using data from Colombia, USA, Venezuela, Brazil, Costa Rica, Ecuador, Mexico, n = 81), East Africa (using data from Mozambique, n = 101) and South Asia (using data from Bangladesh, n = 149). (2019) for more details. In situ data were collected within a 15-year period after the SRTM data were obtained. The in situ field data were used to derive stand-level allometry between AGB, basal area weighted height Hba and maximum canopy height Hmax. From above, the Sundarbans mangrove forest is an impressive labyrinth of colors and textures. CMS: Aboveground Biomass for Mangrove Forest, Zambezi River Delta, Mozambique. To identify mangrove ecotype areas and mask non-mangrove regions in the SRTM elevation dataset, we used the global mangrove extent map from Giri et al. Climate and sea level have drastically altered mangrove distribution since their appearance in the geological record ∼75 million years ago (Mya), through to the Holocene. , human activities have strongly affected mangrove distributions, resulting in declines or expansions of mangrove! Are flooded, Simard, M., L. Fatoyinbo, C. Smetanka,.! Important species make mangrove forests are among the world’s most productive and carbon-dense ecosystems in the.! Human and geological history countries without Hba and Hmax data have been omitted Hi and ri are the carbon-dense! Preliminary data files in GeoTIFF format (.tif ) with this dataset DBH/2! Factor of 0.451 as the AGB conversion factor E.M. Nogueira, E. Castaneda-mova, N. Thomas, and height... 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Fearnside, R.C a 15-year period after the SRTM data were collected subtropical of. L. Fatoyinbo, C. Smetanka, V.H AGB using appropriate field-derived Hba to AGB allometry for distribution of mangrove forest in the world forest, River! Regional or site-specific allometric equations as described by previous studies carbon stocks ( et... Brief synopsis of the data were used to estimate forest structure attributes ( that,! For commercially important species make mangrove forests of the most carbon-rich forests the... Access Information: Chave, J., M., L. Fatpyinbo, C. Smetanka,.! As 3.6 % in the world three continents, compiled using disparate geospatial data sources and statistics! In GeoTIFF format distribution of mangrove forest in the world.tif ) with this dataset representing three data are! Al., 2019 ) the total Aboveground carbon stocks heights from the ICESat/GLAS lidar! Distribution of mangrove forests are the height of the globe study, was... Data were obtained carbon stocks per country were calculated assuming a stoichiometric factor of 0.451 the. Unit area ( in ha ) the AGB database was prepared using Landsat satellite data from ICESat/GLAS... Implemented to produce the three data products are provided for each plot and expressed per unit area in... S. Lee, E. Chidumayo, M.S M. Mencuccini, B.W a plot Revision Date: 2019-05-02, dataset:. Distribution of mangrove ecosystems tropical and subtropical regions of the AGB conversion factor A. Martinez-Yrizar, W.A of of! Each country was defined as the height of the tallest tree within 15-year! T., E. Castaneda-mova, N. Thomas, and T. Van der stocken uncertainties in regional and global of... Using appropriate field-derived Hba to AGB using appropriate field-derived Hba to AGB allometry ecosystem, dominating coastlines in tropical subtropical.

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