Disturbance dynamics reorganize the spatial persistence of forest carbon under climate warming

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Eunhoo Jeong, Seok-ho Jung
DOI: 10.5281/zenodo.18870850
Cited by: 0

Abstract

This dataset contains processed geospatial layers used to evaluate forest carbon stability under climate change scenarios in Gyeongsangnam-do, Republic of Korea. The dataset includes forest carbon stability indices and composite disturbance risk layers derived from multiple disturbance factors. These data support the spatial analysis presented in the associated manuscript.

Fields of Study & Subjects

Fire effects on ecosystems Forest Management and Policy Forest ecology and management

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 March 2026
Language
EN
Document type
Dataset