scholarly journals Aboveground litter production, accumulation, decomposition, and tidal transportation of coral reef-type mangrove forest on Pohnpei Island, Federated States of Micronesia

Tropics ◽  
2006 ◽  
Vol 15 (1) ◽  
pp. 75-84 ◽  
Author(s):  
Kenji ONO ◽  
Kiyoshi FUJIMOTO ◽  
Masakazu HIRAIDE ◽  
Saimon LIHPAI ◽  
Ryuichi TABUCHI
Keyword(s):  
Coral Reef ◽  
Mangrove Forest ◽  
Litter Production ◽  
Federated States Of Micronesia ◽  
Reef Type ◽  
Aboveground Litter

Assessing the carbon compositions and sources of mangrove peat in a tropical mangrove forest on Pohnpei Island, Federated States of Micronesia

Geoderma ◽  
2015 ◽  
Vol 245-246 ◽  
pp. 11-20 ◽  
Author(s):  
Kenji Ono ◽  
Syuntaro Hiradate ◽  
Sayaka Morita ◽  
Masakazu Hiraide ◽  
Yasumasa Hirata ◽  
...  
Keyword(s):  
Mangrove Forest ◽  
Federated States Of Micronesia ◽  
Mangrove Peat

Litter production, decomposition and nutrient return of uplifted coral reef tropical forest

2006 ◽  
Vol 235 (1-3) ◽  
pp. 174-185 ◽  
Author(s):  
Jiung-Hao Liao ◽  
Hsiang-Hua Wang ◽  
Chen-Chi Tsai ◽  
Zeng-Yei Hseu
Keyword(s):  
Coral Reef ◽  
Tropical Forest ◽  
Litter Production ◽  
Nutrient Return

scholarly journals Switching between standard coral reef benthic monitoring protocols is complicated: proof of concept

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e8167 ◽  
Author(s):  
Henri Vallès ◽  
Hazel A. Oxenford ◽  
Alex Henderson
Keyword(s):  
Coral Reef ◽  
Coral Reefs ◽  
Survey Methods ◽  
Monitoring Network ◽  
Complex Pattern ◽  
Coralline Algae ◽  
Reef Type ◽  
Monitoring Protocols ◽  
Reef Monitoring

Monitoring the state of coral reefs is necessary to identify drivers of change and assess effectiveness of management actions. There are several widely-used survey methods, each of which is likely to exhibit different biases that should be quantified if the purpose is to combine datasets obtained via different survey methods. The latter is a particularly important consideration when switching methodologies in long-term monitoring programs and is highly relevant to the Caribbean today. This is because of the continuing need for regionally comparable coral reef monitoring datasets and the fact that the Global Coral Reef Monitoring Network (GCRMN)-Caribbean node is now recommending a photoquadrat (PQ) method over the chain intercept transect method widely adopted by the members of the first truly regional monitoring network, Caribbean Coastal Marine Productivity Program (CARICOMP), in the early-1990s. Barbados, a member of the CARICOMP network, has been using a variation of the chain intercept method in its long-term coral reef monitoring program for more than two decades. Now a member of GCRMN-Caribbean, Barbados is considering switching to the PQ method in conformity with other regional members. Since we expect differences between methods, this study seeks to quantify the nature of those differences to inform Barbados and others considering switching methods. In 2017, both methods were concurrently implemented at 21 permanent monitoring plots across three major reef types in Barbados. Differences in % cover estimates for the six major benthic components, that is, hard corals, sponges, gorgonians, macroalgae, turf algae and crustose coralline algae, were examined within and among reef types. Overall, we found a complex pattern of differences between methods that depended on the benthic component, its relative abundance, and the reef type. We conclude that most benthic components would require a different conversion procedure depending on the reef type, and we provide an example of these procedures for Barbados. The factors that likely contribute to the complex pattern of between-method differences are discussed. Overall, our findings highlight that switching methods will be complicated, but not impossible. Finally, our study fills an important gap by underscoring a promising analytical framework to guide the comparison of ecological survey methods on coral reefs.

scholarly journals Fisheries and Marine Environments in the Coastal Area in the Island Coexisting Mangrove Forest and Coral Reef

2008 ◽  
Vol 2008 (7) ◽  
pp. 1-16 ◽  
Author(s):  
Kei KAWAI ◽  
Toru KOBARI ◽  
Hisaya MANABE ◽  
Leon ZANN
Keyword(s):  
Coral Reef ◽  
Coastal Area ◽  
Mangrove Forest ◽  
Marine Environments

scholarly journals LITTER PRODUCTION OF THE MANGROVE FORESTS IN TIRIS, INDRAMAYU, WEST JAVA, INDONESIA

2014 ◽  
Vol 35 (1) ◽  
pp. 19-30
Author(s):  
Sukristijono Sukardjo
Keyword(s):  
Mangrove Forest ◽  
Maximum Temperature ◽  
Litter Production ◽  
Silty Clay ◽  
Mangrove Forests ◽  
Forest Types ◽  
Tree Physiology ◽  
Rhizophora Apiculata ◽  
Induced Stress ◽  
High Production

The Tiris mangrove forest, Rhizophora apiculata-R. mucronata community, grows in the area with highly human induced stress and typically by silty clay substrate. The litterfall studies in Tiris, Indramayu (Lat. 6º 10'-7º 49' S and long. 107º25'-108º25' E), using litterfall trap and plot techniques indicate that the mangrove forest is very productive. Litter productivity, as measured by litter trapping of a R. apiculata dominant mangrove forest at Tiris is 1,290.95 dry g/m2 /year, and estimated as 12.90 dry t/ha/year and leaf shared is 40.70%. This is a high value when compared with the mangrove forests in the Indo-West Pacific and/or Malesian regions, and even with R. mucronata plantation in Tritih, Segara Anakan, Cilacap (Lat. 7º 41'-7º 45' S and Long. 108º 46'-109º E). Correlations between litter components with rainfall, number of rain-day, wind run, mean maximum temperature, mean minimum temperature, and mean monthly temperature, and relative humidity are calculated for understanding their role in litter production. These correlations are discussed and it is suggested that seasonality of mangrove need to be considered in terms of whole tree physiology rather than isolated environmental factors. Also, the high production of litter means an important contribution to support food-webs of many marine organisms. The results suggest that, in terms of litter, the mangrove forests in Tiris may be one of the most productive forest types in Java.

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