Global responses of plant abundance, diversity, and fitness to increased fire severity or frequency
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Database of responses of plant abundance, diversity, and fitness to increased fire frequency or severity, collected from published scientific articles or reports. The database includes 394 studies published worldwide between 1962 and 2023. Information on the following variables are also provided: fire regime component (fire frequency or severity), time since the last fire, fire type (wildfire or prescribed fire), historical fire regime type (surface or crown fire), plant life form (woody plant, herb, or bryophyte), habitat type, and climate. The database underpins the meta-analysis 'Global plant responses to intensified fire regimes', published in Global Ecology and Biogeography., Data was collected from published articles and reports following standard methods for systematic review. For details, please see the article 'Global plant responses to intensified fire regimes', published in Global Ecology and Biogeography., , **Description of the data and the file structure**
The R code for carrying out the meta-analysis is provided in file \"global_fire_analysis_240325.R\".
The database is provided in the file \"global_fire_DB_240325.csv\". The columns in the file are described below:
study_id: study identification, composed of the name of the first author and the year of publication.
study_num: study number.
ES_num: number of effect size within study.
country: country where the study was carried out.
latitude/longitude: coordinates indicating where the study was carried out.
FR_hist: type of historical fire regime (surface fire, crown fire, or non fire prone).
FR_comp: fire regime component (frequency or severity).
fire_type: type of fire (wildfire or prescribed fire).
habitat: type of habitat (broadleaf forest, conifer forest, mixed forest, grassland, shrubland, or woodland).
response: broad response variable measured (abundance, diversity, or fitness).
response_detailed: more detailed response v...
创建时间:
2025-07-30



