Unveiling Population Structure Dynamics of Populus euphratica Riparian Forests Along the Tarim River Using Terrestrial LiDAR
The Populus euphratica desert riparian forest, predominantly distributed along the Tarim River in northwestern China, has experienced significant degradation due to climate change and anthropogenic activities. Despite its ecological importance, systematic assessments of P. euphratica stand structure across the entire Tarim River remain scarce. This study employed terrestrial laser scanning (TLS) to capture high-resolution 3D structural data from 2741 individual trees across 30 plots within six transects, covering the 1300 km mainstream of the Tarim River. ANOVA, PCA, and RDA were applied to examine tree structure variation and environmental influences. Results revealed a progressive decline in key structural parameters from the upper to lower reaches of the river, with the lower reaches showing pronounced degradation. Stand density decreased from 440 to 257 trees per hectare, mean stand height declined from 9.3 m to 5.6 m, mean crown diameter reduced from 4.1 m to 3.8 m, canopy cover dropped from 62% to 42%, and the leaf area index fell from 0.51 to 0.29. Age class distributions varied along the river, highlighting population structures indicative of growth in the upper reaches, stability in the middle reaches, and decline in the lower reaches. Abiotic factors, including groundwater depth, soil salinity, soil moisture, and precipitation, exhibited strong correlations with stand structural parameters (p < 0.05, R2 ≥ 0.69). The findings highlight significant spatial variations in tree structure, with healthier growth in the upper reaches and degradation in the lower reaches, enhance our understanding of forest development processes, and emphasize the urgent need for targeted conservation strategies. This comprehensive quantification of P. euphratica stand structure and its environmental drivers offer valuable insights into the dynamics of desert riparian forest ecosystems. The findings contribute to understanding forest development processes and provide a scientific basis for formulating effective conservation strategies to sustain these vital desert ecosystems, as well as for the monitoring of regional environmental changes.
Authors
- Arthur M. Arkin
- Aolei Tian (ORCID: https://orcid.org/0009-0006-3838-1189)
- Asadilla Yusup (ORCID: https://orcid.org/0000-0002-8060-0887)
- Ümüt Halik (ORCID: https://orcid.org/0000-0003-0533-8759)
- Abdulla Abliz (ORCID: https://orcid.org/0000-0002-8367-5286)
- Ailiya Ainiwaer
- Maimaiti Mijiti
Institutions
- Peking University (CN)
- University of Chinese Academy of Sciences (CN)
- Xinjiang University (CN)
Publication Details
- Journal
- Forests
- Published
- 2025-02-18
- DOI
- https://doi.org/10.3390/f16020368
- Citations
- 4
- Primary Topic
- Remote Sensing and LiDAR Applications
- Type
- article
- Field-Weighted Citation Impact
- 3.20
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences