Investigating chlorophyll and nitrogen levels of mangroves at Al-Khor, Qatar: an integrated chemical analysis and remote sensing approach

Al-Naimi, Noora; Al-Ghouti, Mohammad A.; Balakrishnan, P.

doi:10.1007/s10661-016-5269-4

Cited by 11 publications

(7 citation statements)

References 21 publications

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“…The inversion results for the chlorophyll content from the red-edge position model in this study were similar to those reported in 2015 by Heenkenda from his examination of the relationship between the observed and predicted chlorophyll values from the Rapid Creek mangrove forest in Darwin, Australia, using the red edge [7]. In 2016, Al-Naimi et al used the Landsat 8 satellites to estimate the chlorophyll content of mangroves at Al-Khor, Qatar, with a model that had a maximum R 2 value of 0.6016 [62]. In this study, we improved the precision of the model for estimating the chlorophyll content of mangroves.…”

Section: Discussionsupporting

confidence: 84%

Hyperspectral Estimation of the Chlorophyll Content in Short-Term and Long-Term Restorations of Mangrove in Quanzhou Bay Estuary, China

Dou

Cui

et al. 2018

Sustainability

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The chlorophyll content can indicate the general health of vegetation, and can be estimated from hyperspectral data. The aim of this study is to estimate the chlorophyll content of mangroves at different stages of restoration in a coastal wetland in Quanzhou, China, using proximal hyperspectral remote sensing techniques. We determine the hyperspectral reflectance of leaves from two mangrove species, Kandelia candel and Aegiceras corniculatum, from short-term and long-term restoration areas with a portable spectroradiometer. We also measure the leaf chlorophyll content (SPAD value). We use partial-least-squares stepwise regression to determine the relationships between the spectral reflectance and the chlorophyll content of the leaves, and establish two models, a full-wave-band spectrum model and a red-edge position regression model, to estimate the chlorophyll content of the mangroves. The coefficients of determination for the red-edge position model and the full-wave-band model exceed 0.72 and 0.82, respectively. The inverted chlorophyll contents are estimated more accurately for the long-term restoration mangroves than for the short-term restoration mangroves. Our results indicate that hyperspectral data can be used to estimate the chlorophyll content of mangroves at different stages of restoration, and could possibly be adapted to estimate biochemical constituents in leaves.2 of 15 expected to reach 70,000 hm 2 by 2020 [4]. The chlorophyll content is an indicator of vegetation stress and can be used as a basis for estimating other biochemical parameters [5] and should be measured when monitoring, restoring and managing coastal wetland ecosystems. As such, it would therefore be useful if there were methods that resource managers could use to monitor the chlorophyll content of mangroves from hyperspectral data [6][7][8][9].Mangroves adapt to high-salt habitats using a range of physiological, biochemical, and morphological mechanisms. It is generally accepted that mangroves fall into two types, namely salt-secreting species with salt glands and salt-excluding species without salt glands [10,11]. Aegiceras plants have salt glands that secrete Na and Cl through their leaves to maintain the salt balance while Kandelia plants are known as salt-rejecting mangrove species that isolate the matrix from salt water mainly through high negative pressure in the xylem [12,13]. The mechanisms used by mangroves are unique within the plant kingdom, and the two different survival modes of mangroves have led to some differences between the leaves of the two mangrove species. The growth and physiological metabolism of mangroves are distinctive during different stages of restoration [14,15]. To date, hyperspectral data have not been used to compare the growth of these two mangrove species at different stages of restoration; instead, remote sensing has been used frequently to classify mangrove species and estimate biomass [16][17][18][19][20]. For example, Jia et al. mapped the Maipu mangrove species using hyperspectral data from the...

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Section: Discussionsupporting

confidence: 84%

Hyperspectral Estimation of the Chlorophyll Content in Short-Term and Long-Term Restorations of Mangrove in Quanzhou Bay Estuary, China

Dou

Cui

et al. 2018

Sustainability

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“…Similarly, Oman lost 14.3% (24 ha) of natural mangroves from 1996 to 2020 (Bunting et al, 2022). This was mainly due to the growth of urban development activities related to coastal infrastructure and industrial expansion (Milani, 2018;Arshad et al, 2020;Aljenaid et al, 2022;AlQahtany et al, 2022), in addition to climate change impacts (Al-Naimi et al, 2016;Almahasheer, 2018;Blanco-Sacristań et al, 2022). However, some studies reported stable to slight increases in mangrove cover over the same period in the GCC countries (Almahasheer et al, 2016;Almahasheer, 2018;Milani, 2018).…”

Section: Contribution Of Remote Sensing Studiesmentioning

confidence: 99%

“…Despite the well-known importance of mangroves in the GCC region, these highly complex, vulnerable and fragile forest ecosystems are facing a wide variety of threats, including stressors driven by climate change and anthropogenic land use change activities (Burt, 2014;Al-Naimi et al, 2016;Almahasheer, 2018;Blanco-Sacristań et al, 2022). Specific threats to mangrove ecosystems are important to understand and can be identified through the use of remotely sensed data.…”

Section: Major Findingsmentioning

confidence: 99%

“…Specific threats to mangrove ecosystems are important to understand and can be identified through the use of remotely sensed data. In particular, climate change-induced sea-level rise, erosion and flooding, changes in precipitation, increases in temperature and salinity, and decreases in dissolved oxygen in submerged mangrove aerial roots are expected to significantly increase mortality of mangrove trees in the GCC countries (Al-Khayat and Balakrishnan, 2014;Al-Naimi et al, 2016;Almahasheer, 2018;Samara et al, 2020;Blanco-Sacristań et al, 2022;Subraelu et al, 2022). Rapid urbanization, land reclamation and dredging operations for infrastructural and industrial development and sewage disposal constitute important threats to the sustainability of mangrove ecosystems (Al-Naimi et al, 2016;Almahasheer, 2018;Milani, 2018;Aljenaid et al, 2022;Blanco-Sacristań et al, 2022).…”

Section: Major Findingsmentioning

confidence: 99%

“…In particular, climate change-induced sea-level rise, erosion and flooding, changes in precipitation, increases in temperature and salinity, and decreases in dissolved oxygen in submerged mangrove aerial roots are expected to significantly increase mortality of mangrove trees in the GCC countries (Al-Khayat and Balakrishnan, 2014;Al-Naimi et al, 2016;Almahasheer, 2018;Samara et al, 2020;Blanco-Sacristań et al, 2022;Subraelu et al, 2022). Rapid urbanization, land reclamation and dredging operations for infrastructural and industrial development and sewage disposal constitute important threats to the sustainability of mangrove ecosystems (Al-Naimi et al, 2016;Almahasheer, 2018;Milani, 2018;Aljenaid et al, 2022;Blanco-Sacristań et al, 2022). Increased timber exploitation, camel grazing associated with local livelihood sustenance activities, and unsustainable tourism development are also threatening the conditions of mangroves in the GCC countries (Kumar et al, 2010;Al-Ali et al, 2015;Alsumaiti, 2017;Alwhibi, 2017;Milani, 2018).…”

Section: Major Findingsmentioning

confidence: 99%

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Remote sensing-based assessment of mangrove ecosystems in the Gulf Cooperation Council countries: a systematic review

Rondon,

Ewane,

Abdullah

et al. 2023

Front. Mar. Sci.

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Mangrove forests in the Gulf Cooperation Council (GCC) countries are facing multiple threats from natural and anthropogenic-driven land use change stressors, contributing to altered ecosystem conditions. Remote sensing tools can be used to monitor mangroves, measure mangrove forest-and-tree-level attributes and vegetation indices at different spatial and temporal scales that allow a detailed and comprehensive understanding of these important ecosystems. Using a systematic literature approach, we reviewed 58 remote sensing-based mangrove assessment articles published from 2010 through 2022. The main objectives of the study were to examine the extent of mangrove distribution and cover, and the remotely sensed data sources used to assess mangrove forest/tree attributes. The key importance of and threats to mangroves that were specific to the region were also examined. Mangrove distribution and cover were mainly estimated from satellite images (75.2%), using NDVI (Normalized Difference Vegetation Index) derived from Landsat (73.3%), IKONOS (15%), Sentinel (11.7%), WorldView (10%), QuickBird (8.3%), SPOT-5 (6.7%), MODIS (5%) and others (5%) such as PlanetScope. Remotely sensed data from aerial photographs/images (6.7%), LiDAR (Light Detection and Ranging) (5%) and UAV (Unmanned Aerial Vehicles)/Drones (3.3%) were the least used. Mangrove cover decreased in Saudi Arabia, Oman, Bahrain, and Kuwait between 1996 and 2020. However, mangrove cover increased appreciably in Qatar and remained relatively stable for the United Arab Emirates (UAE) over the same period, which was attributed to government conservation initiatives toward expanding mangrove afforestation and restoration through direct seeding and seedling planting. The reported country-level mangrove distribution and cover change results varied between studies due to the lack of a standardized methodology, differences in satellite imagery resolution and classification approaches used. There is a need for UAV-LiDAR ground truthing to validate country-and-local-level satellite data. Urban development-driven coastal land reclamation and pollution, climate change-driven temperature and sea level rise, drought and hypersalinity from extreme evaporation are serious threats to mangrove ecosystems. Thus, we encourage the prioritization of mangrove conservation and restoration schemes to support the achievement of related UN Sustainable Development Goals (13 climate action, 14 life below water, and 15 life on land) in the GCC countries.

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Geospatial Tools for Mapping and Monitoring Coastal Mangroves

Gnanappazham

Prasad

Dadhwal

2021

Mangroves: Ecology, Biodiversity and Management

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Investigating chlorophyll and nitrogen levels of mangroves at Al-Khor, Qatar: an integrated chemical analysis and remote sensing approach

Cited by 11 publications

References 21 publications

Hyperspectral Estimation of the Chlorophyll Content in Short-Term and Long-Term Restorations of Mangrove in Quanzhou Bay Estuary, China

Hyperspectral Estimation of the Chlorophyll Content in Short-Term and Long-Term Restorations of Mangrove in Quanzhou Bay Estuary, China

Remote sensing-based assessment of mangrove ecosystems in the Gulf Cooperation Council countries: a systematic review

Geospatial Tools for Mapping and Monitoring Coastal Mangroves

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