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タンザニア本土沿岸の海草T. hemprichii藻場に貯留されるブルーカーボンの空間変動

Spatial Variation of Blue Carbon Stored in Seagrass T. hemprichii Meadows along the Coasts of Mainland Tanzania. (原題)

Liberatus Dominick Lyimo

Zenodo (CERN European Organization for Nuclear Research)📚 査読済 / ジャーナル2026-11-09#気候科学
DOI: 10.5281/zenodo.24080391
原典: https://doi.org/10.5281/zenodo.24080391

🤖 gxceed AI 要約

日本語

タンザニア本土沿岸9地点の海草藻場と裸地で堆積物を採取し、有機炭素濃度・炭素蓄積量と環境要因の空間・深度変動を解析した研究。PCA・PERMANOVA・PLS回帰・混合効果モデルを用い、藻場と裸地の堆積物特性の差異や有機炭素の予測因子を評価。Rコードとデータを公開し再現性を確保している。

English

This study analyzes sediment organic carbon and environmental characteristics of Thalassia hemprichii seagrass meadows versus unvegetated sediments across nine sites in Mtwara, Lindi, and Tanga, Tanzania. Using PCA, PERMANOVA, PLS regression, and mixed-effects models, it assesses spatial and vertical variation in carbon stocks and their predictors. The dataset and R scripts are released for reproducibility.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

ブルーカーボンは日本のJ-クレジット制度や自治体の藻場保全事業と関連するが、本論文はタンザニア事例の実測研究であり、日本の開示・政策実務への直接的示唆は限定的。手法（混合効果モデル等）は国内の沿岸炭素評価に応用可能。

In the global GX context

Blue carbon is increasingly recognized in global climate disclosure and nature-related frameworks (TNFD, SBTN), though this paper is a primary empirical study from Tanzania rather than a disclosure analysis. It contributes baseline carbon-stock data for the Western Indian Ocean, a region underrepresented in blue carbon accounting literature.

👥 読者別の含意

🔬研究者:沿岸ブルーカーボンの空間変動評価における統計手法と再現可能なデータ公開の実例として参考になる。

🏛政策担当者:ブルーカーボン生態系の炭素蓄積評価を政策・保全計画に組み込む際の基礎データ整備の重要性を示す。

📄 Abstract（原文）

Dataset and R Codes for Seagrass Sediment Organic Carbon Analysis in Coastal Tanzania This repository contains the dataset and R scripts associated with a study investigating sediment organic carbon, carbon stocks, and environmental characteristics of Thalassia hemprichii seagrass meadows and adjacent unvegetated sediments along the coast of mainland Tanzania. The study was conducted across nine coastal sampling sites distributed among three regions: Mtwara, Lindi, and Tanga. Sediment samples were collected from seagrass-vegetated and unvegetated habitats at different sediment depths to assess spatial and vertical variation in sediment organic carbon and associated environmental characteristics. The dataset includes measurements of sediment organic carbon concentration, sediment physical and chemical properties, and selected seagrass structural characteristics. Variables include organic carbon concentration, sediment nitrogen, fine sediment fraction, grain size, porosity, sediment bulk density, seagrass biomass, shoot density, seagrass cover, and water depth. The repository also provides R scripts developed to reproduce the statistical analyses, including: Principal Component Analysis (PCA): To investigate multivariate patterns in sediment characteristics and their associations with habitat type. Permutational Multivariate Analysis of Variance (PERMANOVA): To evaluate differences in multivariate sediment characteristics between seagrass and unvegetated habitats while accounting for sampling sites. Multivariate dispersion was also assessed using PERMDISP. Partial Least Squares (PLS) Regression: To assess relationships between sediment organic carbon concentration and environmental predictors. Variable Importance in Projection (VIP) scores and regression coefficients were calculated, and predictive performance was evaluated using leave-one-site-out cross-validation. Organic Carbon Analysis: To evaluate variation in sediment organic carbon concentration across habitats, sampling sites, and sediment depths using descriptive statistics and mixed-effects modelling. The R scripts generate statistical summary tables, model outputs, and publication-quality figures. They are provided to support transparency, reproducibility, and further research on seagrass-associated blue carbon ecosystems in the Western Indian Ocean. Software: R statistical software (version 4.5.2). Principal packages include vegan, mixOmics, ggplot2, lme4, lmerTest, emmeans, and readxl. Geographical coverage: Coastal mainland Tanzania, Western Indian Ocean. Keywords: Seagrass; Thalassia hemprichii; Sediment Organic Carbon; Blue Carbon; Carbon Stocks; PCA; PERMANOVA; PLS Regression; Tanzania; Western Indian Ocean.

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