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気候・社会経済・湿地変化シナリオ下における沿岸湿地の洪水防御、ブルーカーボン、レクリエーション生態系サービスの経済価値

Coastal wetlands economic values for flood protection, blue carbon and recreation ecosystem services under climate, socio-economic and wetland change scenarios (原題)

Sebastiano Bacca

Zenodo (CERN European Organization for Nuclear Research)データセット2026-08-23#気候リスクOrigin: Global対象セクター: cross_sector
DOI: 10.5281/zenodo.22069637
原典: https://doi.org/10.5281/zenodo.22069637

🤖 gxceed AI 要約

日本語

本データセットは、海面上昇下での沿岸湿地の便益を評価する研究の入力データを提供する。DIVACoastモデル出力、レクリエーション価値関数の推定に用いるESVDデータ、湿地ストックと社会経済共変量を含む。3つの気候・社会経済シナリオと3つの湿地収容スペースシナリオに基づき、2020年から2100年までの便益を評価する。

English

This dataset provides input files for a study on coastal wetland benefits under sea level rise. It includes DIVACoast model outputs, recreation valuation records from ESVD, and coastal unit covariates. The data support analysis of flood protection, blue carbon, and recreation values under multiple climate and socio-economic scenarios from 2020 to 2100.

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

日本の沿岸域管理や気候変動適応策の経済評価に示唆を与える。特に、ブルーカーボン生態系の価値評価は、日本のブルーカーボンクレジット制度や沿岸防災計画に活用できる。

In the global GX context

This dataset contributes to global coastal adaptation and blue carbon research, providing methods and data for valuing ecosystem services. It supports climate risk assessment and nature-based solutions, relevant to international frameworks like TCFD and TNFD.

👥 読者別の含意

🔬研究者:Provides reproducible data and methods for valuing coastal wetland ecosystem services under climate scenarios.

🏢実務担当者:Useful for coastal zone managers and insurers to quantify flood protection and blue carbon benefits.

🏛政策担当者:Informs coastal adaptation policy and investment in nature-based solutions.

📄 Abstract（原文）

Input data for "Accommodation space shapes global coastal wetland benefits under sea level rise" This record contains only the three input files that cannot be regenerated. All figures, tables and derived results in the paper are reproduced from them by the analysis code at: https://github.com/SebastianoBacca/coastal-wetlands-value-functions FILES country_2020PPP.csv DIVACoast model output for 24,439 coastal floodplains, 2020-2100, under three climate and socio-economic scenarios and three wetland accommodation spacescenarios. Constant 2020 international dollars at purchasing power parity. esvd_recreation_coastal_wetlands.csv Recreation evidence base: 171 harmonised valuation records, of which 96 revealed-preference records from 49 studies enter the estimation from the ESVD dataset (Brander, L.M. de Groot, R, Guisado Goñi, V., van 't Hoff, V., Schägner, P., Solomonides, S., McVittie, A., Eppink, F., Sposato, M., Do, L., Ghermandi, A., and Sinclair, M. (2025). Ecosystem Services Valuation Database (ESVD). Foundation for Sustainable Development and Brander Environmental Economics.) diva_coastal_units.csv Population and income covariates and wetland stocks for the 24,647 coastal units the recreation transfer function is applied to. HOW TO REPRODUCE 1. Clone the repository. 2. Place the downloaded files as follows: material/data/model_output/country_2020PPP.csv material/data/recreation/esvd_recreation_coastal_wetlands.csv material/data/recreation/diva_coastal_units.csv 3. Recreation value function (R, needs clubSandwich, ggplot2, maps): cd material/code/recreation_BT Rscript Regression_analysis.R Rscript Validation.R 4. Paper figures and tables (Julia 1.10+): cd material/code/analysis_scripts julia --project=. -e "using Pkg; Pkg.instantiate()" julia --project=. run_all.jl Outputs are written to material/data/outputs/. Running the DIVACoast model itself requires the full DIVA input database, which is available upone request in a single JLD2 format; country_2020PPP.csv is its output, so every result in the paper reproduces from this record without rerunning the model. Monetary values are constant 2020 international dollars at purchasing power parity. Conversion from 2011 international dollars used World Bank World Development Indicators PPP factors and the linked GDP deflator, retrieved 30 April 2024.

🔗 Provenance — このレコードを発見したソース

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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。