2026-10-09T10:55:55Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33437365 2026-10-06T09:45:42Z category_26875 item_type_3 month_year_10_2026

Data and code supporting “Ecosystem- and conversion pathway-specific greenhouse gas responses to coastal wetland land-use change: A global meta-analysis” Zihao Wang (23123512) Human impacts of climate change and human adaptation LULCC Greenhouse Gas Fluxes <p dir="ltr">This dataset and software archive supports the manuscript “Ecosystem- and conversion pathway-specific greenhouse gas responses to coastal wetland land-use change: A global meta-analysis”.</p><p dir="ltr">The archive contains the input datasets, R analysis scripts, tabulated outputs, supplementary tables, and README documentation used to evaluate greenhouse gas responses to land-use and land-cover change and ecological restoration in natural coastal wetlands. The analyses include clustered non-parametric comparisons of observed greenhouse gas fluxes, multilevel random-effects meta-analysis using Hedges’ g, moderator and interaction analyses, mixed-effects polynomial meta-regression, and Monte Carlo propagation of uncertainty for sustained-flux global warming potential (SGWP).</p><p dir="ltr">The archive is organised into four analysis directories corresponding to: (1) Figs. 2a–c, 3a–b and Supplementary Fig. S1; (2) Figs. 2d–f, 3c–d, Supplementary Fig. S2 and Supplementary Tables S1–S2; (3) Fig. 4 and Supplementary Tables S3–S4; and (4) Figs. 5–6 and Supplementary Table S5. The file “Supplemental Materials Table.xlsx” contains the supplementary tables associated with the manuscript.</p><p dir="ltr">A master README.txt is provided in the root directory, and each analysis directory contains an additional README.txt describing the relevant input files, required R packages, statistical procedures, parameter settings, output files, and instructions for reproducing the analyses.</p><p dir="ltr">Missing values in the spreadsheets are represented by blank cells. Study and comparison identifiers are retained to account for non-independence in the multilevel statistical models.</p><p dir="ltr">This Figshare record is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) licence.</p> 2026-10-06T09:45:42Z Dataset Dataset 10.6084/m9.figshare.33437365.v9 https://figshare.com/articles/dataset/Data_and_code_supporting_Ecosystem-_and_pathway-specific_greenhouse_gas_responses_to_coastal_wetland_land-use_change_A_global_meta-analysis_/33437365 CC BY 4.0