Đánh giá trữ lượng carbon tích lũy trong hệ sinh thái rừng nhiệt đới có giá trị bảo tồn cao: Nghiên cứu trường hợp tại tỉnh Bắc Kạn, Việt Nam=Assessing Carbon Stocks in A Tropical Forest Ecosystem of High Conservation Value: A Case Study in Bac Kan Province, Vietnam

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Tác giả: Thị Nhung Đỗ

Ngôn ngữ: vie

Ký hiệu phân loại:

Thông tin xuất bản: Khoa học Trái đất và Môi trường, 2024

Mô tả vật lý: tr.92-110

Bộ sưu tập: Metadata

ID: 474375

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Carbon stocks (CS) is a crucial factor in understanding the carbon cycle and enhancing forest quality monitoring, supporting sustainable forestry management and policy adjustment. This study shows a non-invasive method for estimating aboveground biomass (AGB) and CS, integrating multi-source remote sensing, topography and field data. The tropical forest ecosystem in Bac Kan province was chosen because this is the province with the largest forest cover in Vietnam and is considering participating in the global carbon credit market. The Cubist model was developed using Sentinel-1A SAR data, indices from Landsat-9 OLI-2 images and topographic data. The accuracy of Cubist models is evaluated through statistical indicators such as: Root mean square deviation (RMSE), Coefficient of determination (R2) and Mean absolute error (MAE). Among 130 Cubist prediction models, the Model 1 demonstrated the highest accuracy for estimating AGB in the study area. Results indicate that the accumulated carbon stock is primarily concentrated in Evergreen broadleaved forest on soil mountain (EBFS) accounting for about 40 or approximately 2.6 million MgC
Mixed wood-bamboo forest on soil mountain (MWBF) accounting for about 23%, or 1.5 million MgC
and Plantation on soil mountain (PFS) accounting for about 22%, or 1.5 million MgC. The study provides a comprehensive view of forest ecosystem conservation and improves monitoring, protection and restoration of high-value forests.Trữ lượng carbon tích lũy (CS) là yếu tố quan trọng để hiểu chu trình carbon và cải thiện giám sát chất lượng rừng, hỗ trợ quản lý và điều chỉnh chính sách lâm nghiệp bền vững. Nghiên cứu này trình bày phương pháp ước tính sinh khối trên mặt đất (AGB) và CS không xâm lấn, sử dụng kết hợp dữ liệu viễn thám đa nguồn, địa hình và đo đạc ngoài thực địa. Hệ sinh thái rừng nhiệt đới tại tỉnh Bắc Kạn được chọn vì đây là tỉnh có độ che phủ rừng lớn nhất Việt Nam và đang xem xét tham gia thị trường tín chỉ carbon toàn cầu. Mô hình Cubist được phát triển dựa trên các dữ liệu Sentinel-1A SAR, chỉ số từ ảnh Landsat-9 OLI-2 và dữ liệu địa hình. Độ chính xác của các mô hình Cubist được đánh giá qua các chỉ số thống kê như: Sai số bình phương trung bình gốc (RMSE), Hệ số xác định (R2) và Sai số tuyệt đối trung bình (MAE). Trong số 130 mô hình dự đoán từ Cubist, mô hình 1 có độ chính xác tốt nhất để ước tính AGB tại khu vực. Kết quả cho thấy CS tập trung chủ yếu ở các hệ sinh thái Rừng lá rộng thường xanh trên núi đất (EBFS) chiếm khoảng 40%, tương đương với khoảng 2,6 triệu MgC
Rừng hỗn giao tre gỗ trên núi đất (MWBF) chiếm khoảng 23%, tương đương 1,5 triệu MgC
và Rừng trồng trên núi đất (PFS) chiếm khoảng 22%, cũng tương đương với 1,5 triệu MgC. Nghiên cứu cung cấp cái nhìn toàn diện về bảo tồn hệ sinh thái rừng và cải thiện quy trình theo dõi, bảo vệ và phục hồi các khu rừng giá trị cao.

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