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Map of shallow water marine habitat of Kaledupa Island based on integration traditional ecological knowledge and multispectral classification.
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Marine scientists had applied many remote sensing methods to shallow-water marine habitat mapping. However, integrating traditional ecological knowledge and remote sensing application to produce marine habitat map was still very limited. The aims of this study are to try to implement the integration of traditional ecological knowledge and multispec...
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Context 1
... (49.1% of the total area); sangnga mate was 2108.44 ha (19.5%); sangnga 2039.44 ha (18.9%); and One 1345.51 (12.5%). The total area and percentage of cover of the shallow water marine habitat of Kaledupa Island based on participatory classification are shown in Table 3, while the map is presented in Figure 2. The study of shallow water marine habitat mapping in Kaledupa Island by integration of traditional ecological knowledge is an accurate remote sensing method. ...
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Citations
... In this way, improved RS techniques, coupled with conventional on-site monitoring methods and 'citizen science' input, may help close a few gaps in MPA monitoring [39]. Therefore, a hybrid approach in participatory remote sensing is a relevant methodology, and it will reinforce coastal and marine research and MPA management as it facilitates bridging a gap between scientists and local communities and encourages the management of coastal and marine ecosystems in a sustainable way [40,41]. ...
The background of this feature article is a necessity to systematize a vast array of issues pertinent to the latest applications of remote sensing in coastal and marine conservation. Hence the purpose of this study: stocktaking of cutting-edge research articles in this field and eliciting the essential trends and issues shaping the knowledge and future research and technical development perspectives in coastal and marine nature conservation, which is pivotal for meeting the United Nations Sustainable Development Goals till 2030. A hierarchical cluster analysis was undertaken with the KH Coder 3.0 tool to elicit topical co-occurrence networks for thematic words in academic papers from 2015 to 2021 on the topic quarried from Scholar Google. The article’s main findings are the elicited four main trending themes in applications of remote sensing in coastal and marine conservation: (1) Remote Sensing-Based Classification and Modelling; (2) Conservation of Tropical Coastal and Marine Habitats; (3) Mapping of Habitats and Species Distribution; (4) Ecosystem and Biodiversity Conservation and Resource Management. The main conclusion of the article is that habitat vulnerability is a key factor to take into consideration for the future hybrid applications of remote sensing and “citizen science” inputs.
... Unfortunately, these methods for catching fish carry the risk of bycatch (i.e., the unintentional capture of non-target species, such as non-commercial or inedible fish), and this can threaten the sustainability of marine resources. Already, some shallow-water habitats in Wakatobi National Park have been adversely affected by the activities of the increasing human population (Azhar et al. 2019). ...
... Kaledupa Island is one of the islands in the WNP territory, and like the other islands in its vicinity (Wangi-wangi, Tomia, dan Binongko), it is characterized by mangrove ecosystems and mudflats. These habitats provide a protective environment for coral reefs, seagrass beds, and another ecosystems (Azhar et al. 2019) includes mudflats. ...
... This study revealed that the fish assemblage in the Kaledupa mudflats is dominated by reefassociated fish species. This is related to the nature of the WNP waters, which contain a large coral reef area, even though it has decreased from 2,217 ha to 2,039 ha between 2002 and 2016 (Azhar et al. 2019). This loss of reef coverage is suspected to be caused by destructive fishing activities, such as bombs and poisons (Azhar et al. 2019). ...
Although frequently described as low-fertility or low-productivity habitat, coastal mudflats serve as important feeding grounds for fish. Many fish species from adjacent coral reefs, seagrass beds, or mangroves foraging periodically in mudflats. Because of this foraging behaviour, some local fishermen are known to utilize the mudflats to catch fish. However, the impact of this catching activities to the ecosystem has not been fully discovered. An examination of the fish community structure and levels of environmental stress had carried out in the mudflat ecosystem of the coast of Kaledupa Island in Wakatobi National Park (WNP), Indonesia. Two mudflat study sites were selected from the shore of Balasuna and Tampara villages located between mangroves and coral reefs. Data were sampled from the fish catch of local fishermen using fish fences (sero) installed in each mudflat area. Fish community structure was analyzed using diversity index and index of relative importance (IRI). ABC curves and species exploitation rate were used to assess the local environmental pressure. A total of 74 fish species were recorded from the mudflats of Kaledupa, which was found to be dominated by reef-associated fish species, comprising 63 species and accounting for 85% of the total catch. Additionally, although both sites had relatively high reef fish diversity, the obtained Clarke’s W-statistic values were approximately 0, indicating that the local fish communities presented moderate levels of disturbance. Three out of five fish species with the highest IRI values were found to be over-exploited, namely Siganus canaliculatus, Lethrinus ornatus, and Lethrinus variegatus.
... Research on the use of remote sensing data to provide information on benthic habitats has been widely carried out. Azhar et al (2018) using Landsat 8 data were able to extract four classes of shallow water habitats on Kaledupa Island, namely live coral, dead coral, seagrass and sand using the supervised classification method Mahalanobis, and Maximum Likelihood. The overall accuracy and kappa 71.67% and 0.62 and 73.33% and 0.65, respectively. ...
Benthic habitats are one of the interesting marine resources and its existence must be preserved. Provision of up-to-date benthic habitat information requires a relatively large amount of time and money. The use of remote sensing technology is one of the best solution. This study aims to develop a semi-automatic processing model that is fast, accurate, and with broad spatial coverage. The satellite image data used is the SPOT-7 image acquired on April 11th, 2018. The method used is a supervised classification with a decision tree algorithm. The analysis was carried out using a script developed in the open-source R application. The results showed that the model used was able to accelerate the processing of benthic habitat extracted from the initial process to the classification. The model developed is able to classify habitat classes based on the training sample data provided so that it does not affect the user’s ability to determine the habitat class. The resulting model accuracy is 93.6%. The validation of the resulting classification showed an overall accuracy of 59% and a kappa accuracy of 0.46. It is necessary to carry out further research by increasing quality and quantity of training samples from each object of benthic habitats and developing scripts in order to produce better mapping accuracy.
... As a result, the coastal regions in China discharge more and more pollutants, which seriously threat the marine ecoenvironment. erefore, it is of practical significance to measure the coordinated and coupled development (CCD) and evaluate the sustainable development of the marine economic-ecological complex system (MEECS) [5][6][7][8][9][10]. e coordinated development of marine economy and ecoenvironment is critical to the national strategies for ocean and regional coordinated development [11][12][13][14]. Broszeit et al. [15] empirically analyzed the coordinated development level of the regional MEECS, constructed a coordination measurement model for the complex system based on core influencing factors, and carried out principal component analysis (PCA) and regression fitting, producing the trend map for the coordination level of the MEECS in 2015-2020. ...
The development of marine economy has stimulated the need for marine natural products and services, as well as the demand and utilization intensity of marine resources. As a result, the coastal regions start to discharge more and more pollutants, posing a serious threat to marine ecoenvironment. Because of the interactions between marine economy and marine ecology, it is of practical significance to study the marine economic-ecological complex system (MEECS). However, the relevant studies have several common defects: the incomplete data statistics system, the limited attention on development law or action mechanism, and the lack of long-term quantitative and empirical analysis. To overcome these defects, this paper tries to measure the coordinated and coupled development (CCD) and evaluate the sustainable development of MEECS. Specifically, an ecology-dominated coordinated development model was proposed for the complex system, and a differential equation model was established to describe the dynamic coordinated development of the complex system. Through data envelopment analysis (DEA), the sustainable development of the complex system was evaluated based on its input-output efficiency. Through experiments, the outputs of decision-making units (DMUs) of our model were obtained, and the development of the subsystems in MEECS was evaluated comprehensively to verify the effectiveness of our algorithm.
Coral reefs act as barriers that protect the coastline from strong swells and surges. Due to anthropogenic pressures and intensified cyclonic swells, the vulnerability of these ecosystems increases. It is therefore essential to understand how reefs are maintained to assess their ability to protect coastal populations and ecosystems. To this end, the research lab ENTROPIE is conducting hydrochemical samplings on the Saint-Gilles reef in Reunion Island, a reef that is particularly exposed to the cyclones affecting the island and to anthropogenic pressures.
As part of the multidisciplinary research project ReNovRisk-Transferts, this study, coordinated by Espace-Dev lab, evaluates the potential of multispectral satellite imagery to study the maintenance
of coral reefs in relation to in situ hydrochemical measurements.
Our results highlight the possibility of mapping live coral cover from Pleiades or SPOT imagery using a BIBG brightness index. The values produced by this index are sufficiently correlated with reference
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