Predicting the Potential Distribution of Apis Dorsata Using MaxEnt Model in Sundarbans, Bangladesh
The Sundarbans, the largest single tract of mangrove forest in the world, is famous for its economically and ecologically important flora and fauna. The Sundarbans of Bangladesh is the main natural home of the giant honeybee, Apis dorsata, commonly known as the giant honeybee. However, this iconic p...
保存先:
| 主要な著者: | , , , , |
|---|---|
| フォーマット: | Online |
| 言語: | 英語 |
| 出版事項: |
Jahangirnagar University
2024
|
| 主題: | |
| オンライン･アクセス: | http://journals.juniv.edu/index.php/tjr/article/view/294 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
| _version_ | 1873958300562751488 |
|---|---|
| author | Mollah, Tanjinul Hoque Jony, Md. Raysul Islam Ferdous, Monalisha Aunkur, Md. Masuk Mowla Ibnat, Atia |
| author_facet | Mollah, Tanjinul Hoque Jony, Md. Raysul Islam Ferdous, Monalisha Aunkur, Md. Masuk Mowla Ibnat, Atia |
| author_sort | Mollah, Tanjinul Hoque |
| collection | OJS |
| description | The Sundarbans, the largest single tract of mangrove forest in the world, is famous for its economically and ecologically important flora and fauna. The Sundarbans of Bangladesh is the main natural home of the giant honeybee, Apis dorsata, commonly known as the giant honeybee. However, this iconic pollinator species faces mounting threats. This study aims to predict the potential distribution of Apis dorsata within the Sundarbans region. To fulfil the aim, comprehensive data on climatic variables, relevant environmental factors and chronological distribution of Apis dorsata, were collected and analyzed. Using species distribution modeling techniques, the current and potential habitats of Apis dorsata were mapped. Besides that, potential changes in the species distribution were evaluated using environmental variables such as temperature, rainfall, evapotranspiration, and soil nutrients such as nitrogen, potassium, phosphorus and soil pH. Anthropogenic factors such as deforestation and land use changes were considered in the analysis to account for human-induced effects on the ecosystem. For this study 285 questionnaires, 5 FGDs and 3 KII were conducted randomly with a 95% confidence level and 5% error margin. The result indicates that climatic conditions are likely to exert a considerable influence on the distribution of Apis dorsata in the Sundarbans region. This model predicts a shift in suitable habitat zones, potentially leading to both range expansions and contractions. Besides that, this study emphasizes the urgency of implementing adaptive management strategies to conserve Apis dorsata and its habitat in the face of environmental changes. Conservation efforts should focus on preserving and restoring critical habitats, adopting sustainable land use practices, and mitigating greenhouse gas emissions. Furthermore, engaging local communities in conservation initiatives is essential to ensure the successful protection of this ecologically valuable species and its associated ecosystem services.
|
| format | Online |
| id | ojs-294 |
| institution | My University |
| language | eng |
| publishDate | 2024 |
| publisher | Jahangirnagar University |
| record_format | ojs |
| spelling | ojs-2942026-08-10T09:27:35Z Predicting the Potential Distribution of Apis Dorsata Using MaxEnt Model in Sundarbans, Bangladesh Mollah, Tanjinul Hoque Jony, Md. Raysul Islam Ferdous, Monalisha Aunkur, Md. Masuk Mowla Ibnat, Atia Apis dorsata Distribution MaxEnt model Sundarbans Bangladesh The Sundarbans, the largest single tract of mangrove forest in the world, is famous for its economically and ecologically important flora and fauna. The Sundarbans of Bangladesh is the main natural home of the giant honeybee, Apis dorsata, commonly known as the giant honeybee. However, this iconic pollinator species faces mounting threats. This study aims to predict the potential distribution of Apis dorsata within the Sundarbans region. To fulfil the aim, comprehensive data on climatic variables, relevant environmental factors and chronological distribution of Apis dorsata, were collected and analyzed. Using species distribution modeling techniques, the current and potential habitats of Apis dorsata were mapped. Besides that, potential changes in the species distribution were evaluated using environmental variables such as temperature, rainfall, evapotranspiration, and soil nutrients such as nitrogen, potassium, phosphorus and soil pH. Anthropogenic factors such as deforestation and land use changes were considered in the analysis to account for human-induced effects on the ecosystem. For this study 285 questionnaires, 5 FGDs and 3 KII were conducted randomly with a 95% confidence level and 5% error margin. The result indicates that climatic conditions are likely to exert a considerable influence on the distribution of Apis dorsata in the Sundarbans region. This model predicts a shift in suitable habitat zones, potentially leading to both range expansions and contractions. Besides that, this study emphasizes the urgency of implementing adaptive management strategies to conserve Apis dorsata and its habitat in the face of environmental changes. Conservation efforts should focus on preserving and restoring critical habitats, adopting sustainable land use practices, and mitigating greenhouse gas emissions. Furthermore, engaging local communities in conservation initiatives is essential to ensure the successful protection of this ecologically valuable species and its associated ecosystem services. Jahangirnagar University 2024-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Conference Proceedings Submission application/pdf http://journals.juniv.edu/index.php/tjr/article/view/294 10.59185/tjr.v48i1.294 The Jahangirnagar Review; Vol. 48 No. 1 (2024); 269-283 1682-7422 10.59185/tjr.v48i1 eng http://journals.juniv.edu/index.php/tjr/article/view/294/252 Copyright (c) 2025 The Jahangirnagar Review |
| spellingShingle | Apis dorsata Distribution MaxEnt model Sundarbans Bangladesh Mollah, Tanjinul Hoque Jony, Md. Raysul Islam Ferdous, Monalisha Aunkur, Md. Masuk Mowla Ibnat, Atia Predicting the Potential Distribution of Apis Dorsata Using MaxEnt Model in Sundarbans, Bangladesh |
| title | Predicting the Potential Distribution of Apis Dorsata Using MaxEnt Model in Sundarbans, Bangladesh |
| title_full | Predicting the Potential Distribution of Apis Dorsata Using MaxEnt Model in Sundarbans, Bangladesh |
| title_fullStr | Predicting the Potential Distribution of Apis Dorsata Using MaxEnt Model in Sundarbans, Bangladesh |
| title_full_unstemmed | Predicting the Potential Distribution of Apis Dorsata Using MaxEnt Model in Sundarbans, Bangladesh |
| title_short | Predicting the Potential Distribution of Apis Dorsata Using MaxEnt Model in Sundarbans, Bangladesh |
| title_sort | predicting the potential distribution of apis dorsata using maxent model in sundarbans bangladesh |
| topic | Apis dorsata Distribution MaxEnt model Sundarbans Bangladesh |
| topic_facet | Apis dorsata Distribution MaxEnt model Sundarbans Bangladesh |
| url | http://journals.juniv.edu/index.php/tjr/article/view/294 |
| work_keys_str_mv | AT mollahtanjinulhoque predictingthepotentialdistributionofapisdorsatausingmaxentmodelinsundarbansbangladesh AT jonymdraysulislam predictingthepotentialdistributionofapisdorsatausingmaxentmodelinsundarbansbangladesh AT ferdousmonalisha predictingthepotentialdistributionofapisdorsatausingmaxentmodelinsundarbansbangladesh AT aunkurmdmasukmowla predictingthepotentialdistributionofapisdorsatausingmaxentmodelinsundarbansbangladesh AT ibnatatia predictingthepotentialdistributionofapisdorsatausingmaxentmodelinsundarbansbangladesh |