Environmental Science
I. Listiana; D. Ariyanto
Abstract
BACKGROUND AND OBJECTIVES: Mangroves are unique plants distributed in tropical regions, such as Indonesia. Mangrove areas and various mangrove ecosystems have been lost in the past decades. The purpose of this study is to investigate community participation using structural equations modeling to enhance ...
Read More
BACKGROUND AND OBJECTIVES: Mangroves are unique plants distributed in tropical regions, such as Indonesia. Mangrove areas and various mangrove ecosystems have been lost in the past decades. The purpose of this study is to investigate community participation using structural equations modeling to enhance involvement in mangrove forest rehabilitation. The study was conducted in two sub-districts in East Lampung Regency, Lampung Province.METHODS: The study employed a survey method with quantitative descriptive analysis and Structural Equation Models analysis. The sampling method used was simple random sampling. The community under investigation is a part of the mangrove forest management group in Labuhan Maringgai and Pasir districts, Lampung, Indonesia. The total number of individuals who are members of the mangrove forest management group is 292, distributed with 140 in Margasari and 152 in Pasir Sakti District. The sample size in Margasari District was 81 respondents, and in Pasir Sakti, it was 87 respondents, totaling 168 respondents. The sample size determination was based on the Slovin formula, considering a precision of 5 percent when estimating the proportion of the population.FINDINGS: This study’s results show that the level of community participation in mangrove forest rehabilitation still falls within the low category, particularly in planning and evaluation, while implementation is categorized as medium. Community leaders often possess influence and authority that is recognized by community members. When these leaders actively support mangrove conservation, they can influence the opinions and actions of the entire community. In this capacity, they serve as role models, inspiring others to participate in mangrove conservation activities. Community participation includes planning, implementation, evaluation, and utilization of results. Participation influences welfare: the more active the community, the more space there will be to utilize mangrove products and interact with other community members, so that income, needs for food, and adequate housing can be met. Local working groups or initiatives that focus on mangrove conservation coordinate field activities and organize necessary resources and manpower.CONCLUSION: The role of community leaders, farmer groups, government support, and non-government organizations plays a key role in increasing community participation in mangrove forest rehabilitation. Additionally, the increase in non-formal education (training and mentoring), type of work, number of family dependents, length of residence, and distance to the mangrove location are crucial factors in enhancing community involvement.
Environmental Science
R.E. Caraka; R.C. Chen; Y. Lee; T. Toharudin; C. Rahmadi; M. Tahmid; A.S. Achmadi
Abstract
BACKGROUND AND OBJECTIVES: The classification of marine animals as protected species makes data and information on them to be very important. Therefore, this led to the need to retrieve and understand the data on the event counts for stranded marine animals based on location emergence, number of individuals, ...
Read More
BACKGROUND AND OBJECTIVES: The classification of marine animals as protected species makes data and information on them to be very important. Therefore, this led to the need to retrieve and understand the data on the event counts for stranded marine animals based on location emergence, number of individuals, behavior, and threats to their presence. Whales are generally often stranded in very shallow areas with sloping sea floors and sand. Data were collected in this study on the incidence of stranded marine animals in 20 provinces of Indonesia from 2015 to 2019 with the focus on animals such as Balaenopteridae, Delphinidae, Lamnidae, Physeteridae and Rhincodontidae.METHODS:Multivariate latent generalized linear model was used to compare several distributions to analyze the diversity of event counts. Two optimization models including Laplace and Variational approximations were also applied.RESULTS: The best theta parameter in the latent multivariate latent generalized linear latent variable model was found in the Akaike Information Criterion, Akaike Information Criterion Corrected and Bayesian Information Criterion values, andthe information obtained was used to create a spatial cluster. Moreover, there was a comprehensive discussion on ocean-atmosphere interaction and the reasons the animals were stranded.CONCLUSION: The changes in marine ecosystems due to climate change, pollution, overexploitation, changes in sea use, and the existence of invasive alien species deserve serious attention.
