# Disaster Risk from Extreme Natural Events Influences Scientific Production on Riparian Forest Carbon More than Socioeconomic Variables

## TL;DR

This study finds that disaster risk from extreme events has a stronger influence on scientific research about riparian forest carbon than socioeconomic factors.

## Contribution

The study reveals that disaster risk, rather than GDP or other socioeconomic variables, is the main driver of scientific production on riparian forest carbon.

## Key findings

- Disaster risk from extreme natural events significantly increases scientific production on riparian forest carbon.
- GDP has a weak but statistically significant effect on scientific output, indicating structural research capacity.
- Socioeconomic variables like life expectancy and literacy rate do not significantly influence scientific production on the topic.

## Abstract

Riparian forests are key ecosystems for mitigating the adverse effects of climate change due to their high potential for carbon sequestration and storage. However, the dynamics of scientific production on carbon in these ecosystems remain poorly understood. This study conducted a bibliometric analysis of publications indexed in the Scopus and Web of Science databases, aiming to identify temporal trends, geographic distribution, collaboration networks, and socioeconomic factors associated with scientific production on the topic. Descriptive statistics, co-authorship network analysis, and a negative binomial regression model were used to assess the influence of variables such as GDP, life expectancy, literacy rate, greenhouse gas (GHG) emissions growth, and disaster risk from natural extreme events on global scientific production. A total of 921 studies were cataloged, with the United States (n = 92), Indonesia (n = 85), and China (n = 82) showing the highest number of studies. The United States led international collaboration. A significant positive effect of disaster risk was observed on the number of publications (β = 0.0524; p < 0.001), indicating that greater exposure to extreme natural events is associated with increased research on riparian forest carbon. GDP also showed a statistically significant association with scientific production, although with a weak effect, reflecting its role as a structural capacity factor rather than a primary driver. Other socioeconomic variables were not statistically significant. Therefore, scientific production appears to be governed by a dual mechanism, combining structural research capacity, represented by GDP, and contextual environmental pressure, represented by disaster risk.