Biogeochemical Processes of C and N in the Soil of Mangrove Forest Ecosystems

The mangrove forest provides various ecosystem services in tropical and subtropical regions. Many of these services are driven by the biogeochemical cycles of C and N, and soil is the major reservoir for these chemical elements. These cycles may be influenced by the changing climate. The high plant biomass in mangrove forests makes these forests an important sink for blue C storage. However, anaerobic soil conditions may also turn mangrove forests into an environmentally detrimental producer of greenhouse gases (such as CH4 and N2O), especially as air temperatures increase. In addition, the changing environmental factors associated with climate change may also influence the N cycles and change the patterns of N2 fixation, dissimilatory nitrate reduction to ammonium, and denitrification processes. This review summarizes the biogeochemical processes of C and N cycles in mangrove forest soils based on recently published studies, and how these processes may respond to climate change, with the aim of predicting the impacts of climate change on the mangrove forest ecosystem.

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Recent Carbon Storage and Burial Exceed Historic Rates in the San Juan Bay Estuary Peri-Urban Mangrove Forests (Puerto Rico, United States)

Frontiers in Forests and Global Change ◽

10.3389/ffgc.2021.676691 ◽

2021 ◽

Vol 4 ◽

Author(s):

Cathleen Wigand ◽

Meagan Eagle ◽

Benjamin L. Branoff ◽

Stephen Balogh ◽

Kenneth M. Miller ◽

...

Keyword(s):

Mangrove Forest ◽

Mangrove Forests ◽

Accumulation Rates ◽

San Jose ◽

Forest Reserve ◽

Soil C ◽

C Storage ◽

Soil C Storage ◽

Burial Rates ◽

Forest C

Mangroves sequester significant quantities of organic carbon (C) because of high rates of burial in the soil and storage in biomass. We estimated mangrove forest C storage and accumulation rates in aboveground and belowground components among five sites along an urbanization gradient in the San Juan Bay Estuary, Puerto Rico. Sites included the highly urbanized and clogged Caño Martin Peña in the western half of the estuary, a series of lagoons in the center of the estuary, and a tropical forest reserve (Piñones) in the easternmost part. Radiometrically dated cores were used to determine sediment accretion and soil C storage and burial rates. Measurements of tree dendrometers coupled with allometric equations were used to estimate aboveground biomass. Estuary-wide mangrove forest C storage and accumulation rates were estimated using interpolation methods and coastal vegetation cover data. In recent decades (1970–2016), the highly urbanized Martin Peña East (MPE) site with low flushing had the highest C storage and burial rates among sites. The MPE soil carbon burial rate was over twice as great as global estimates. Mangrove forest C burial rates in recent decades were significantly greater than historic decades (1930–1970) at Caño Martin Peña and Piñones. Although MPE and Piñones had similarly low flushing, the landscape settings (clogged canal vs forest reserve) and urbanization (high vs low) were different. Apparently, not only urbanization, but site-specific flushing patterns, landscape setting, and soil fertility affected soil C storage and burial rates. There was no difference in C burial rates between historic and recent decades at the San José and La Torrecilla lagoons. Mangrove forests had soil C burial rates ranging from 88 g m–2 y–1 at the San José lagoon to 469 g m–2 y–1 at the MPE in recent decades. Watershed anthropogenic CO2 emissions (1.56 million Mg C y–1) far exceeded the annual mangrove forest C storage rates (aboveground biomass plus soils: 17,713 Mg C y–1). A combination of maintaining healthy mangrove forests and reducing anthropogenic emissions might be necessary to mitigate greenhouse gas emissions in urban, tropical areas.

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Using Continuous Change Detection and Classification of Landsat Data to Investigate Long-Term Mangrove Dynamics in the Sundarbans Region

Remote Sensing ◽

10.3390/rs11232833 ◽

2019 ◽

Vol 11 (23) ◽

pp. 2833 ◽

Cited By ~ 3

Author(s):

Katie Awty-Carroll ◽

Pete Bunting ◽

Andy Hardy ◽

Gemma Bell

Keyword(s):

Climate Change ◽

Change Detection ◽

Mangrove Forest ◽

Mangrove Forests ◽

Landsat Data ◽

Continuous Change ◽

Sea Levels ◽

Heritiera Fomes ◽

The Sundarbans

Mangrove forests play a global role in providing ecosystem goods and services in addition to acting as carbon sinks, and are particularly vulnerable to climate change effects such as rising sea levels and increased salinity. For this reason, accurate long-term monitoring of mangrove ecosystems is vital. However, these ecosystems are extremely dynamic and data frequency is often reduced by cloud cover. The Continuous Change Detection and Classification (CCDC) method has the potential to overcome this by utilising every available observation on a per-pixel basis to build stable season-trend models of the underlying phenology. These models can then be used for land cover classification and to determine greening and browning trends. To demonstrate the utility of this approach, CCDC was applied to a 30-year time series of Landsat data covering an area of mangrove forest known as the Sundarbans. Spanning the delta formed by the confluence of the Ganges, Brahmaputra and Meghna river systems, the Sundarbans is the largest contiguous mangrove forest in the world. CCDC achieved an overall classification accuracy of 94.5% with a 99% confidence of being between 94.2% and 94.8%. Results showed that while mangrove extent in the Sundarbans has remained stable, around 25% of the area experienced an overall negative trend, probably due to the effect of die-back on Heritiera fomes. In addition, dates and magnitudes of change derived from CCDC were used to investigate damage and recovery from a major cyclone; 11% of the Sundarbans was found to have been affected by Cyclone Sidr in 2007, 47.6% of which had not recovered by mid-2018. The results indicate that while the Sundarbans forest is resilient to cyclone events, the long-term degrading effects of climate change could reduce this resilience to critical levels. The proposed methodology, while computationally expensive, also offers means by which the full Landsat archive can be analyzed and interpreted and should be considered for global application to mangrove monitoring.

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Maintenance of Leaf Temperature and the Optimisation of Carbon Gain in Relation to Water Loss in a Tropical Mangrove Forest

Functional Plant Biology ◽

10.1071/pp9880263 ◽

1988 ◽

Vol 15 (2) ◽

pp. 263 ◽

Cited By ~ 77

Author(s):

MC Ball ◽

IR Cowan ◽

GD Farquhar

Keyword(s):

Water Use ◽

Mangrove Forest ◽

Leaf Temperature ◽

Carbon Gain ◽

Mangrove Forests ◽

Mangrove Species ◽

Interspecific Differences ◽

Air Temperatures ◽

C3 Species ◽

Gas Exchange Characteristics

Properties and display of foliage were studied in relation to gas exchange characteristics of tropical mangrove species. Rates of assimilation of CO2 were maximal at leaf temperatures of approximately 30°C. The species operated with higher water use efficiencies than do most C3 species, and water-use characteristics became increasingly conservative with increase in the salinity tolerance of the species. Changes in three properties of leaves, i.e. inclination, area, and succulence, contributed to maintenance of leaf temperatures near air temperatures with minimal evaporative cooling. Interspecific differences in water-use characteristics, and their relationship to the maintenance of favourable leaf temperatures, could affect the competitive abilities of mangroves and the structure of mangrove forests.

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Estimasi Stok Karbon Mangrove Di Muara Sungai Kumbe Distrik Malind Kabupaten Merauke

Musamus Fisheries and Marine Journal ◽

10.35724/mfmj.v1i1.1439 ◽

2018 ◽

pp. 24-32

Author(s):

Reny Sianturi ◽

Siti Masiyah

Keyword(s):

Mangrove Forest ◽

Carbon Stock ◽

River Estuary ◽

Carbon Stocks ◽

Total Carbon ◽

Soil Conditions ◽

Mangrove Forests ◽

Unique Type ◽

The Indian Ocean ◽

Stock Values

Forests reduce and store CO2 through a process of "sequestration" that is the storage of carbon from the atmosphere and its storage in several copartments such as plants, litter, and soil organic matter. Mangrove forest is a unique and unique type of forest because it is able to adapt to environments with high salinity, soil conditions without oxygen and once in a while. ne example of mangrove forests in Indonesia is mangrove forest in the Kumbe river estuary, Merauke Regency, Papua Province. The Kumbe river estuary is one of the eastern Indonesian waters bordering the Indian Ocean. At the Kumbe river estuary there has been no research on carbon stocks in the mangrove community. So it is necessary to do research on carbon stocks in the region. In this study the measurement of carbon stocks used was done by measuring carbon above ground, and ground. Above ground carbon stock components include trees, understorey, and litter. The mechanism for measuring above ground carbon stock is done by estimating biomass, which is then converted to carbon concentration. The results of this study indicate that the carbon stocks in trees, Understorey and litter in sequence are 85.55 Mg / Ha, 392.93 Mg / Ha and 70.75 Mg / Ha; 0.78 Mg / Ha, 1.26 Mg / Ha and 1.24 Mg / Ha and 2.04 Mg / Ha, 1.28 Mg / Ha and 1.2 Mg / Ha. As for the proportion of carbon stock values found in mangrove forests that trees contribute greatly to total carbon stock. Keyword : Mangrove, carbon stocks, Merauke, Kumbe

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Growth of Mangrove Forests and the Influence on Flood Disaster at Amami Oshima Island, Japan

Journal of Disaster Research ◽

10.20965/jdr.2015.p0486 ◽

2015 ◽

Vol 10 (3) ◽

pp. 486-494

Author(s):

Akira Tai ◽

◽

Akihiro Hashimoto ◽

Takuya Oba ◽

Kazuki Kawai ◽

...

Keyword(s):

Climate Change ◽

Mangrove Forest ◽

River Mouth ◽

Flood Disaster ◽

Mangrove Forests ◽

Sea Levels ◽

Living Space ◽

Waves And Tides ◽

Rising Sea Levels ◽

Sea Dike

“Mangrove” is the generic name for plants growing on tropical and subtropical tidal flats. The mangrove is used for many things, including disaster protecting land from high waves and tides and tsunamis, cleaning rivers and drainage containing soil and sand, and providing a variety of organisms with living space. Climate change and rising sea levels are threatening the future of the mangrove. Developing effective ways to conserve mangroves is thus needed, but more must be known about how the mangrove’s ecology and how it develops. It has been pointed out, for example, that mangroves increased flooding by the Sumiyo River in Amami Oshima. We studied ways to develop the mangrove at the Sumiyo River mouth in Amami Oshima and its influence in local flooding, finding that the current mangrove forest had little influence on flooding and that sediment deposition accelerating in Sumiyo Bay due to a sea dike could enlarge the mangrove forest in future.

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TINGKAT KESEHATAN HUTAN MANGROVE DALAM HUBUNGANNYA DENGAN PERUBAHAN IKLIM (Studi Kasus Mangrove Pesisir Timur Kabupaten Lampung Timur)

Jurnal Hutan Tropis ◽

10.20527/jht.v9i3.12333 ◽

2021 ◽

Vol 9 (3) ◽

pp. 325

Author(s):

Rahmat Safe’i

Keyword(s):

Climate Change ◽

Mangrove Forest ◽

East Coast ◽

Health Assessment ◽

Forest Health ◽

Health Condition ◽

Health Data ◽

Mangrove Forests ◽

Physiological Processes ◽

Periodic Monitoring

The condition of mangrove forests on the east coast of East Lampung Regency is currently experiencing degradation and has suffered a lot of damage due to various causes and problems it faces. This condition causes the role and benefits and functions of mangrove forests to decrease, especially in climate change. Therefore, to determine the condition of the mangrove forest, periodic monitoring and assessment of mangrove forest health is required. The purpose of this study was to determine the importance of mangrove forest health in climate change. To achieve this, the stages include: determining the number of plot clusters to be made, making cluster plots, measuring the health of mangrove forests based on ecological indicators of mangrove forest health, processing and analyzing mangrove forest health data using SIPUT (Assessment Information System) software. Forest Health), and categorization and health assessment of mangrove forests. The results of this study indicate that the condition of mangrove forests on the East coast of East Lampung Regency in general has a forest health condition in the medium category. So, knowing the health condition of mangrove forests will affect climate change. Forest health makes mangrove plants grow with good physiological processes so that they can absorb carbon dioxide in the atmosphere optimally. These conditions will make the environment better.

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Economic value analysis of mangrove forest ecosystems in Sorong, West Papua Province

AQUATIC SCIENCE & MANAGEMENT ◽

10.35800/jasm.0.0.2014.7305 ◽

2014 ◽

pp. 39

Author(s):

Roger R Tabalessy

Keyword(s):

Mangrove Forest ◽

Economic Value ◽

Forest Degradation ◽

Primary Data ◽

Mangrove Forests ◽

Value Analysis ◽

Human Needs ◽

The People ◽

West Papua ◽

Mangrove Wood

Coastal areas can either meet the human needs or give great contribution to the development. However, rapid infrastrural development in Sorong, west Papua, has been followed by high demand for mangrove timber and caused mangrove forest degradation due to exploitation. This exploitation could also result from high economic value of the mangrove timber. This study was done to analyze the economic value of mangrove wood utilized by the people to support the development process in Sorong. This study used primary data obtained through interviews and the economic value calculation of mangrove forests. It found that Sorong had mangrove economic value of IDR 165,197,833, 491. Wilayah pesisir selain dapat memenuhi kebutuhan hidup manusia juga memberikan kontribusi yang besar bagi pembangunan. Cepatnya pembangunan infrastruktur di Kota Sorong diikuti pula dengan tingginya permintaan akan kayu mangrove dan menyebabkan terjadinya degradasi hutan mangrove akibat eksploitasi. Eksploitasi ini disebabkan juga akibat kayu mangrove memiliki nilai ekonomi. Penelitian yang dilakukan ini bertujuan untuk menganalisis nilai ekonomi kayu mangrove yang dimanfaatkan oleh masyarakat Kota Sorong dalam proses menunjang pembangunan. Penelitian ini menggunakkan data primer yang diperoleh melalui hasil wawancara dan perhitungan nilai ekonomi hutan mangrove. Hasil penelitian ini menunjukkan nilai ekonomi ekosistem hutan mangrove yang berada di Kota Sorong adalah Rp165.197.833.491.

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Forest defoliator pests alter carbon and nitrogen cycles

Royal Society Open Science ◽

10.1098/rsos.160361 ◽

2016 ◽

Vol 3 (10) ◽

pp. 160361 ◽

Cited By ~ 12

Author(s):

Anne l-M-Arnold ◽

Maren Grüning ◽

Judy Simon ◽

Annett-Barbara Reinhardt ◽

Norbert Lamersdorf ◽

...

Keyword(s):

Climate Change ◽

Leaf Litter ◽

Soil Microbial Activity ◽

Quercus Petraea ◽

Oak Forests ◽

Operophtera Brumata ◽

Winter Moth ◽

Carbon And Nitrogen ◽

Soil Microbial ◽

C And N

Climate change may foster pest epidemics in forests, and thereby the fluxes of elements that are indicators of ecosystem functioning. We examined compounds of carbon (C) and nitrogen (N) in insect faeces, leaf litter, throughfall and analysed the soils of deciduous oak forests ( Quercus petraea L.) that were heavily infested by the leaf herbivores winter moth ( Operophtera brumata L.) and mottled umber ( Erannis defoliaria L.). In infested forests, total net canopy-to-soil fluxes of C and N deriving from insect faeces, leaf litter and throughfall were 30- and 18-fold higher compared with uninfested oak forests, with 4333 kg C ha −1 and 319 kg N ha −1 , respectively, during a pest outbreak over 3 years. In infested forests, C and N levels in soil solutions were enhanced and C/N ratios in humus layers were reduced indicating an extended canopy-to-soil element pathway compared with the non-infested forests. In a microcosm incubation experiment, soil treatments with insect faeces showed 16-fold higher fluxes of carbon dioxide and 10-fold higher fluxes of dissolved organic carbon compared with soil treatments without added insect faeces (control). Thus, the deposition of high rates of nitrogen and rapidly decomposable carbon compounds in the course of forest pest epidemics appears to stimulate soil microbial activity (i.e. heterotrophic respiration), and therefore, may represent an important mechanism by which climate change can initiate a carbon cycle feedback.

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Mangrove Forest Landcover Changes in Coastal Vietnam: A Case Study from 1973 to 2020 in Thanh Hoa and Nghe An Provinces

Forests ◽

10.3390/f12050637 ◽

2021 ◽

Vol 12 (5) ◽

pp. 637

Author(s):

Huong Thi Thuy Nguyen ◽

Giles E. S. Hardy ◽

Tuat Van Le ◽

Huy Quoc Nguyen ◽

Hoang Huy Nguyen ◽

...

Keyword(s):

Mangrove Forest ◽

Monsoon Season ◽

Coastal Development ◽

Northern Coast ◽

Mangrove Forests ◽

Visual Interpretation ◽

Mangrove Restoration ◽

Coast Of Vietnam ◽

Landsat Satellite

Mangrove forests can ameliorate the impacts of typhoons and storms, but their extent is threatened by coastal development. The northern coast of Vietnam is especially vulnerable as typhoons frequently hit it during the monsoon season. However, temporal change information in mangrove cover distribution in this region is incomplete. Therefore, this study was undertaken to detect change in the spatial distribution of mangroves in Thanh Hoa and Nghe An provinces and identify reasons for the cover change. Landsat satellite images from 1973 to 2020 were analyzed using the NDVI method combined with visual interpretation to detect mangrove area change. Six LULC classes were categorized: mangrove forest, other forests, aquaculture, other land use, mudflat, and water. The mangrove cover in Nghe An province was estimated to be 66.5 ha in 1973 and increased to 323.0 ha in 2020. Mangrove cover in Thanh Hoa province was 366.1 ha in 1973, decreased to 61.7 ha in 1995, and rose to 791.1 ha in 2020. Aquaculture was the main reason for the loss of mangroves in both provinces. Overall, the percentage of mangrove loss from aquaculture was 42.5% for Nghe An province and 60.1% for Thanh Hoa province. Mangrove restoration efforts have contributed significantly to mangrove cover, with more than 1300 ha being planted by 2020. This study reveals that improving mangrove restoration success remains a challenge for these provinces, and further refinement of engineering techniques is needed to improve restoration outcomes.

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Assessing the Natural Recovery of Mangroves after Human Disturbance Using Neural Network Classification and Sentinel-2 Imagery in Wunbaik Mangrove Forest, Myanmar

Remote Sensing ◽

10.3390/rs13010052 ◽

2020 ◽

Vol 13 (1) ◽

pp. 52

Author(s):

Win Sithu Maung ◽

Jun Sasaki

Keyword(s):

Neural Network ◽

Change Detection ◽

Transfer Learning ◽

Mangrove Forest ◽

Kappa Coefficient ◽

Mangrove Forests ◽

Ann Model ◽

Shrimp Ponds ◽

Natural Recovery ◽

Sentinel 2

In this study, we examined the natural recovery of mangroves in abandoned shrimp ponds located in the Wunbaik Mangrove Forest (WMF) in Myanmar using artificial neural network (ANN) classification and a change detection approach with Sentinel-2 satellite images. In 2020, we conducted various experiments related to mangrove classification by tuning input features and hyper-parameters. The selected ANN model was used with a transfer learning approach to predict the mangrove distribution in 2015. Changes were detected using classification results from 2015 and 2020. Naturally recovering mangroves were identified by extracting the change detection results of three abandoned shrimp ponds selected during field investigation. The proposed method yielded an overall accuracy of 95.98%, a kappa coefficient of 0.92, mangrove and non-mangrove precisions of 0.95 and 0.98, respectively, recalls of 0.96, and F1 scores of 0.96 for the 2020 classification. For the 2015 prediction, transfer learning improved model performance, resulting in an overall accuracy of 97.20%, a kappa coefficient of 0.94, mangrove and non-mangrove precisions of 0.98 and 0.96, respectively, recalls of 0.98 and 0.97, and F1 scores of 0.96. The change detection results showed that mangrove forests in the WMF slightly decreased between 2015 and 2020. Naturally recovering mangroves were detected at approximately 50% of each abandoned site within a short abandonment period. This study demonstrates that the ANN method using Sentinel-2 imagery and topographic and canopy height data can produce reliable results for mangrove classification. The natural recovery of mangroves presents a valuable opportunity for mangrove rehabilitation at human-disturbed sites in the WMF.

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