Bayesian generalized dissimilarity model for marine biodiversity analysis
Marine biodiversity is crucial for ocean ecosystems and global ecological services. The spatial changes in the biodiversity can be assessed by modeling the beta diversity indices using the Generalized Dissimilarity Model (GDM) which captures nonlinear species-environment relationships through I-spli...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-12-01
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| Series: | MethodsX |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215016125003760 |
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| author | Evellin Dewi Lusiana Suci Astutik Nurjannah Abu Bakar Sambah |
| author_facet | Evellin Dewi Lusiana Suci Astutik Nurjannah Abu Bakar Sambah |
| author_sort | Evellin Dewi Lusiana |
| collection | DOAJ |
| description | Marine biodiversity is crucial for ocean ecosystems and global ecological services. The spatial changes in the biodiversity can be assessed by modeling the beta diversity indices using the Generalized Dissimilarity Model (GDM) which captures nonlinear species-environment relationships through I-splines but the method lacks interval estimates. The Bayesian Bootstrap GDM (BBGDM) also provides confidence intervals but does not incorporate the knowledge of ecological priors. Therefore, this study aimed to propose a Bayesian Generalized Dissimilarity Model (BGDM) that integrated ecological priors such as non-negative regression coefficients into a fully Bayesian framework. Hamiltonian Monte Carlo (HMC) was used for efficient posterior sampling. The results showed that BGDM improved both uncertainty quantification and model interpretability. It was further applied to analyze the marine biodiversity patterns in the Lesser Sunda Islands to show more robust responses to environmental gradients compared to GDM and BBGDM. |
| format | Article |
| id | doaj-art-c86a034f76c84f2bac2cbe69d9872ddd |
| institution | DOAJ |
| issn | 2215-0161 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | MethodsX |
| spelling | doaj-art-c86a034f76c84f2bac2cbe69d9872ddd2025-08-20T02:49:55ZengElsevierMethodsX2215-01612025-12-011510353210.1016/j.mex.2025.103532Bayesian generalized dissimilarity model for marine biodiversity analysisEvellin Dewi Lusiana0Suci Astutik1 Nurjannah2Abu Bakar Sambah3Department of Statistics, Faculty of Mathematics and Natural Science, Universitas Brawijaya, Veteran Street, Malang, 65145, Indonesia; Corresponding author.Department of Statistics, Faculty of Mathematics and Natural Science, Universitas Brawijaya, Veteran Street, Malang, 65145, IndonesiaDepartment of Statistics, Faculty of Mathematics and Natural Science, Universitas Brawijaya, Veteran Street, Malang, 65145, IndonesiaFaculty of Fisheries and Marine Science, Universitas Brawijaya, Veteran Street, Malang, 65145, IndonesiaMarine biodiversity is crucial for ocean ecosystems and global ecological services. The spatial changes in the biodiversity can be assessed by modeling the beta diversity indices using the Generalized Dissimilarity Model (GDM) which captures nonlinear species-environment relationships through I-splines but the method lacks interval estimates. The Bayesian Bootstrap GDM (BBGDM) also provides confidence intervals but does not incorporate the knowledge of ecological priors. Therefore, this study aimed to propose a Bayesian Generalized Dissimilarity Model (BGDM) that integrated ecological priors such as non-negative regression coefficients into a fully Bayesian framework. Hamiltonian Monte Carlo (HMC) was used for efficient posterior sampling. The results showed that BGDM improved both uncertainty quantification and model interpretability. It was further applied to analyze the marine biodiversity patterns in the Lesser Sunda Islands to show more robust responses to environmental gradients compared to GDM and BBGDM.http://www.sciencedirect.com/science/article/pii/S2215016125003760Binomial distributionGeneralized linear modelLogit link functionParameter estimation |
| spellingShingle | Evellin Dewi Lusiana Suci Astutik Nurjannah Abu Bakar Sambah Bayesian generalized dissimilarity model for marine biodiversity analysis MethodsX Binomial distribution Generalized linear model Logit link function Parameter estimation |
| title | Bayesian generalized dissimilarity model for marine biodiversity analysis |
| title_full | Bayesian generalized dissimilarity model for marine biodiversity analysis |
| title_fullStr | Bayesian generalized dissimilarity model for marine biodiversity analysis |
| title_full_unstemmed | Bayesian generalized dissimilarity model for marine biodiversity analysis |
| title_short | Bayesian generalized dissimilarity model for marine biodiversity analysis |
| title_sort | bayesian generalized dissimilarity model for marine biodiversity analysis |
| topic | Binomial distribution Generalized linear model Logit link function Parameter estimation |
| url | http://www.sciencedirect.com/science/article/pii/S2215016125003760 |
| work_keys_str_mv | AT evellindewilusiana bayesiangeneralizeddissimilaritymodelformarinebiodiversityanalysis AT suciastutik bayesiangeneralizeddissimilaritymodelformarinebiodiversityanalysis AT nurjannah bayesiangeneralizeddissimilaritymodelformarinebiodiversityanalysis AT abubakarsambah bayesiangeneralizeddissimilaritymodelformarinebiodiversityanalysis |