Assessment of suitability evaluation for Ficus altissima blume ancient trees in different climatic environments in Guangxi, China
Hongliang Gu, Yuxia Chen, Qinqin Zhang
TL;DR
This study evaluates the current and future climate suitability for ancient Ficus altissima trees in Guangxi, China, using machine learning to guide conservation efforts.
Contribution
The study introduces a novel application of machine learning and species distribution models to assess the climate suitability of ancient Ficus altissima trees.
Findings
Over 45% of ancient Ficus altissima trees are found at elevations between 80 and 150 meters.
The mean temperature of the wettest quarter (bio8) is the most critical factor affecting their distribution.
Under future climate scenarios, moderately suitable areas expanded while highly suitable areas decreased slightly.
Abstract
The Guangxi Zhuang Autonomous Region of China is home to numerous Ficus altissima Blume (F. altissima) ancient trees over 300 years old, which hold significant cultural, ecological, and scientific research value. However, little is known about their current and future distribution suitability or growth trends. To address this gap, using machine learning and species distribution models, we analyzed their distribution patterns and habitat suitability changes under current and future climate scenarios, incorporating 33 climatic, topographic, and soil-related driving factors. Our findings reveal that the region hosts 514 ancient F. altissima trees aged over 300 years, 114 of which exhibit declining or endangered growth conditions. The spatial distribution of these trees is highly discrete, influenced by topographical constraints and intraspecific competition. Over 45% are found at…
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Taxonomy
TopicsEcology and Vegetation Dynamics Studies · Soil and Land Suitability Analysis · Plant Physiology and Cultivation Studies