Carbon Biomass Algorithms Development for Mangrove Vegetation in Kemujan, Parang Island Karimunjawa National Park and Demak Coastal Area – Indonesia

Hartoko, Agus; Chayaningrum, Siska; Febrianti, Dewati Ayu; Ariyanto, Dafit; Suryanti, Suryanti

doi:10.1016/j.proenv.2015.01.007

Cited by 22 publications

(22 citation statements)

References 8 publications

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“…Mangrove mapping—as per the target of identifying different vegetation details—has been conducted with low to very high-resolution spaceborne (e.g., Landsat, IKONOS, QuickBird, GeoEye-1) and airborne remote sensing data ( Dahdouh-Guebas et al, 2000 ; Sulong et al, 2002 ; Wang et al, 2004 ; Seto & Fragkias, 2007 ; Giri et al, 2008 ; Dahdouh-Guebas & Koedam, 2008 ; Spalding, Kainuma & Collins, 2010 ; Giri et al, 2011 ; Hansen & Loveland, 2012 ; Leempoel et al, 2013 ; Proisy et al, 2016 ). Also, the potential of moderate resolution data like Advanced Land Observation Satellite (ALOS) and Sentinel for mangrove studies is well recognised ( Hartoko et al, 2015 ; Castillo et al, 2017 ; Chen et al, 2017 ). The optical remote sensing data which were often limited by cloud cover to study mangrove ecosystems have been compensated through the radar and drone imageries in recent years ( Walters et al, 2008 ; Cornforth et al, 2013 ; De Santiago, Kovacs & Lafrance, 2013 ; Kovacs et al, 2013 ; Hamdan, Khali Aziz & Mohd Hasmadi, 2014 ; Lucas et al, 2014 ; Jhonnerie et al, 2015 ; Aslan et al, 2016 ; Tian et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

Status of the undisturbed mangroves at Brunei Bay, East Malaysia: a preliminary assessment based on remote sensing and ground-truth observations

Satyanarayana

Muslim

Horsali

et al. 2018

PeerJ

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Brunei Bay, which receives freshwater discharge from four major rivers, namely Limbang, Sundar, Weston and Menumbok, hosts a luxuriant mangrove cover in East Malaysia. However, this relatively undisturbed mangrove forest has been less scientifically explored, especially in terms of vegetation structure, ecosystem services and functioning, and land-use/cover changes. In the present study, mangrove areal extent together with species composition and distribution at the four notified estuaries was evaluated through remote sensing (Advanced Land Observation Satellite—ALOS) and ground-truth (Point-Centred Quarter Method—PCQM) observations. As of 2010, the total mangrove cover was found to be ca. 35,183.74 ha, of which Weston and Menumbok occupied more than two-folds (58%), followed by Sundar (27%) and Limbang (15%). The medium resolution ALOS data were efficient for mapping dominant mangrove species such as Nypa fruticans, Rhizophora apiculata, Sonneratia caseolaris, S. alba and Xylocarpus granatum in the vicinity (accuracy: 80%). The PCQM estimates found a higher basal area at Limbang and Menumbok—suggestive of more mature vegetation, compared to Sundar and Weston. Mangrove stand structural complexity (derived from the complexity index) was also high in the order of Limbang > Menumbok > Sundar > Weston and supporting the perspective of less/undisturbed vegetation at two former locations. Both remote sensing and ground-truth observations have complementarily represented the distribution of Sonneratia spp. as pioneer vegetation at shallow river mouths, N. fruticans in the areas of strong freshwater discharge, R. apiculata in the areas of strong neritic incursion and X. granatum at interior/elevated grounds. The results from this study would be able to serve as strong baseline data for future mangrove investigations at Brunei Bay, including for monitoring and management purposes locally at present.

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Section: Introductionmentioning

confidence: 99%

Status of the undisturbed mangroves at Brunei Bay, East Malaysia: a preliminary assessment based on remote sensing and ground-truth observations

Satyanarayana

Muslim

Horsali

et al. 2018

PeerJ

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“…There were 5 or 6 cases with over-segmentation and deviations greater than 0.4 among 45 samples, of which more than 75% had an average DBH value larger than 20 cm. The number of samples with under-segmentation and deviations greater than 0.4 in 45 samples was [15][16][17][18][19], and in about 80% of these samples, the average DBH value was less than 10 cm. This means that when DBH < 10 cm, the individual tree segmentation was more likely to have under-segmentation and a large deviation value.…”

Section: Individual Mangrove Tree Extractionmentioning

confidence: 95%

“…To improve the accuracy of mangrove biomass estimation and mapping, more remote sensing data and methods have been tested and applied to mangroves [4,[12][13][14][15][16][17][18][19][20]. Very high resolution images, such as WorldView-2 (Digitalglobe, Westminster, CO, USA), GeoEye (GeoEye, Herndon, VA, USA), IKONOS (Spacing Imaging, Herndon, VA, USA), QuickBird (Digitalglobe, Westminster, CO, USA), digital photographs, and light detection and ranging (LiDAR) point cloud data, can be used for extracting individual trees [21][22][23][24][25][26], as well as the accurate estimation of AGB or carbon stocks at the individual tree level [27][28][29][30][31][32][33][34].…”

Section: Introductionmentioning

confidence: 99%

Finer Resolution Estimation and Mapping of Mangrove Biomass Using UAV LiDAR and WorldView-2 Data

Qiu

Wang

Zou

et al. 2019

Forests

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To estimate mangrove biomass at finer resolution, such as at an individual tree or clump level, there is a crucial need for elaborate management of mangrove forest in a local area. However, there are few studies estimating mangrove biomass at finer resolution partly due to the limitation of remote sensing data. Using WorldView-2 imagery, unmanned aerial vehicle (UAV) light detection and ranging (LiDAR) data, and field survey datasets, we proposed a novel method for the estimation of mangrove aboveground biomass (AGB) at individual tree level, i.e., individual tree-based inference method. The performance of the individual tree-based inference method was compared with the grid-based random forest model method, which directly links the field samples with the UAV LiDAR metrics. We discussed the feasibility of the individual tree-based inference method and the influence of diameter at breast height (DBH) on individual segmentation accuracy. The results indicated that (1) The overall classification accuracy of six mangrove species at individual tree level was 86.08%.(2) The position and number matching accuracies of individual tree segmentation were 87.43% and 51.11%, respectively. The number matching accuracy of individual tree segmentation was relatively satisfying within 8 cm ≤ DBH ≤ 30 cm. (3) The individual tree-based inference method produced lower accuracy than the grid-based RF model method with R 2 of 0.49 vs. 0.67 and RMSE of 48.42 Mg ha −1 vs. 38.95 Mg ha −1 . However, the individual tree-based inference method can show more detail of spatial distribution of mangrove AGB. The resultant AGB maps of this method are more beneficial to the fine and differentiated management of mangrove forests.

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“…Despite high monogenean infestation, Karimunjawa is considered a healthy marine ecosystem due to high endoparasite diversity, high diversity indices and low ecto-to endoparasite ratios [28,42]. While both localities are important spawning and nursery grounds for groupers [62,63], Karimunjawa has established management plans, fishing guidelines and protected zones for grouper [29]. Grouper abundance might be higher there which might result in higher ectoparasite transmission and lead to higher ectoparasite infestation in this region.…”

Section: Regional Differencesmentioning

confidence: 99%

Parasite Fauna of the White-Streaked Grouper (Epinephelus ongus) from the Thousand Islands, Java, Indonesia

et al. 2020

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Purpose Fish parasites can cause diseases in humans and lead to commercial losses in fisheries and aquaculture. The objectives of this study were to analyze E. ongus’s parasite fauna regarding food safety and parasite transmission risk between Epinephelus species and test whether E.ongus populations can be distinguished by their parasite community. Methods We studied the metazoan parasite fauna of 30 white-streaked groupers Epinephelus ongus from the Thousand Islands, Java Sea, Indonesia, and compared the parasite community with specimens from Karimunjawa archipelago, Java Sea, from a former study. We used common fish parasitological methods for fish examination and parasite calculations. Results We found 12 metazoan parasite species, establishing five new host and five new locality records, increasing the known parasite fauna of E. ongus by 21%. No anisakid worms infected E. ongus. All but one (trematode Gyliauchen cf. nahaensis) species have been previously reported from Epinephelus. Parasite abundance of E. ongus differed significantly between the two regions. Conclusions Due to a certain degree of host specificity to groupers, there is potential risk of parasite transmission from E. ongus into groupers in mariculture or surrounding fishes, which increases (sea) food security related health risks from zoonotic parasites and calls for better monitoring and management plans for E. ongus. The regional separation of the Thousand Islands and Karimunjawa with different food availability and fish ecology causes different parasite abundances, distinguishing two separate E. ongus populations by their parasite fauna.

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Carbon Biomass Algorithms Development for Mangrove Vegetation in Kemujan, Parang Island Karimunjawa National Park and Demak Coastal Area – Indonesia

Cited by 22 publications

References 8 publications

Status of the undisturbed mangroves at Brunei Bay, East Malaysia: a preliminary assessment based on remote sensing and ground-truth observations

Status of the undisturbed mangroves at Brunei Bay, East Malaysia: a preliminary assessment based on remote sensing and ground-truth observations

Finer Resolution Estimation and Mapping of Mangrove Biomass Using UAV LiDAR and WorldView-2 Data

Parasite Fauna of the White-Streaked Grouper (Epinephelus ongus) from the Thousand Islands, Java, Indonesia

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