AI SearchAssessment of above-ground carbon stocks in rehabilitated coastal managrove forests : (Record no. 8957)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04083nas a2200373 a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260817163512.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | .b12502686 |
| 099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Classification number | AIT Thesis no.NR-26-05 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Aung Khant Paing |
| 245 10 - TITLE STATEMENT | |
| Title | Assessment of above-ground carbon stocks in rehabilitated coastal managrove forests : |
| Remainder of title | the case of Bokypyin township, Myanmar |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Pathum Thani : |
| Name of publisher, distributor, etc. | Asian Institute of Technology, |
| Date of publication, distribution, etc. | 2026 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 107 leaves : |
| Other physical details | ill.+e1 online resource |
| 490 1# - SERIES STATEMENT | |
| Series statement | Thesis ; |
| Volume/sequential designation | no. NR-26-05 |
| 500 ## - GENERAL NOTE | |
| General note | A thesis submitted in patial fulfillment of the requirements for the degree of Master of Science in Natural Resources Management |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (M. Sc.) - Asian Institute of Technology, 2026 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Estimating Aboveground Carbon (AGC) in the rehabilitated mangrove forest is challenging due to high structural heterogeneity of forest. Although field-based sample plots measurement provides accurate species-level data, introduce sampling bias and limit spatial coverage. In contrast, remote sensing (RS) data offer continuous spatial coverage but lack of species-level detail ground truth, highlighting the need for integrated approaches for reliable AGC estimation. In Myanmar, severe mangrove degradation has led to the rehabilitation of mangrove forests resulting in high structural heterogeneity due to silvicultural operations. Therefore, this study evaluated AGC in rehabilitated mangrove forest of Bokpyin Township in Myanmar by the integration of field-based inventories, RS derived predictors and, develop a reliable machine learning (ML) model.The research adopted two-stage approach. Field data was collected from (42) sample plots and integrated with (14) remote sensing predictors extracted from Sentinel (1), Sentinel (2) and Shuttle Radar Topography Mission (SRTM). A Random Forest (RF) and Gradient Tree Boosting (GBT) machine learning algorithm was trained to these integrated datasets and model performance was tested by cross validation by Leave One-Out-Cross-Validation (LOOCV). The trained models were then used to generate spatially continuous AGC maps.This study produced a mean Shannon Index of (0.95± 0.42) where R. apiculata showed the highest Important Value Index of (64.8%). Additionally, the presence of B. hainesii, IUCN red list species, showed IVI of (5.0%) highlighting the high conservation value of the study area. For AGC estimation, Traditional field-based estimate revealed (10.05 ± 5.93) and RF and GBT models showed (9.27 ± 4.05) and (9.71 ± 5.32) MgCha-1 respectively. The strong alignment between these approaches demonstrates that while field-based method supports a reliable baseline, the ML models enable continuous estimation of spatial AGC. These findings will support cost-effective monitoring of large-scale carbon sequestration provide for the development of national Blue Carbon inventories for Myanmar and beyond. Future research should focus on increasing sample plot coverage and incorporating additional remote sensing data to improve prediction accuracy, while policymakers can use these methods to strengthen carbon accounting and climate mitigation strategies. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Carbon sequestration |
| Geographic subdivision | Myanmar |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Coastal forests |
| Geographic subdivision | Myanmar |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Mangrove ecology |
| Geographic subdivision | Myanmar |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Pichdara, Lonn, |
| Relator term | Chairperson |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Tsusaka, Takuji W., |
| Relator term | Examination Committee |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ekbordin Winijkul, |
| Relator term | Examination Committee |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Deutscher Akademischer Austauschdienst (DAAD), Germany, |
| Relator term | Scholarship Donor |
| 810 2# - SERIES ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Asian Institute of Technology. |
| Title of a work | Thesis ; |
| Volume/sequential designation | no. NR-26-05 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Full-Text |
| Uniform Resource Identifier | <a href="http://203.159.5.9/ait-thesis/detail.php?q=B24138">http://203.159.5.9/ait-thesis/detail.php?q=B24138</a> |
| 907 ## - LOCAL DATA ELEMENT G, LDG (RLIN) | |
| a | .b12502686 |
| b | mnarc |
| c | a |
| 902 ## - LOCAL DATA ELEMENT B, LDB (RLIN) | |
| a | 260519 |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) | |
| Operator's initials, OID (RLIN) | 0 |
| Cataloger's initials, CIN (RLIN) | 260518 |
| First date, FD (RLIN) | m |
| -- | h |
| -- | a |
| -- | 0 |
| 945 ## - LOCAL PROCESSING INFORMATION (OCLC) | |
| l | mnarc |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | 67-Electronic Resource |
| 909 ## - LOCAL ITEMS USED | |
| Barcode | Barcode : - |
| CREATED | CREATED : 2026-05-14 |
| RECORD Id | RECORD # : i1359963x |
| LPATRON | LPATRON : 0 |
| LCHKIN | LCHKIN : - |
| RENEWALS | # RENEWALS : 0 |
| -- | # OVERDUE : 0 |
| -- | IUSE3 : 0 |
| -- | TOT CHKOUT : 0 |
| -- | TOT RENEW : 0 |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total checkouts | Full call number | Date last seen | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 17/08/2026 | AIT Thesis no.NR-26-05 | 17/08/2026 | 1 | 17/08/2026 | 67-Electronic Resource |