Potential Suitable Area Change and Carbon Sequestration Potential of Robinia pseudoacacia Plantation under Climate Change Scenario

[Objective] Robinia pseudoacacia, as the main afforestation tree species in China, plays an important role in improving the ecological environment and increasing carbon storage to alleviate climate change. This paper predicts the spatial and temporal changes of the suitable area distribution and carbon storage of Robinia pseudoacacia forest under different emission scenarios in the future, and analyzes its carbon sequestration potential, so as to provide scientific basis for regional plantation development planning and sustainable management. [Methods] Based on the MaxEnt model, this study predicted the potential suitable area of Robinia pseudoacacia under future climate scenarios, and the potential geographic distribution and area of Robinia pseudoacacia were studied quantitatively in the future. By analyzing the contribution rate of comprehensive environmental factors and the importance of substitution, the influencing factors restricting the potential geographical distribution of Robinia pseudoacacia plantation were clarified. The spatial distribution of carbon storage in 2090 s Robinia pseudoacacia forest was estimated and analyzed by using the volume stand age model and the volume biomass method. [Results] 1) Temperature factor was the most critical climatic factor affecting the distribution of potential suitable areas of Robinia pseudoacacia, with a contribution rate of 64.4%, precipitation factor came second. 2) Under the current climatic conditions, the potential suitable areas of Robinia pseudoacacia were mainly distributed in the Yellow River Basin, the Huaihe River Basin and the upper reaches of the Yangtze River, and the high suitable areas were mainly distributed in the northern part of China, accounting for about 4.2% of the total land area. Under the future climate change, the concentration of Robinia pseudoacacia loss area will increase under the SSP245 and SSP370 scenarios, mainly located in the Sichuan Basin. The expansion area was mainly distributed in the surrounding area of the stable zone, showing the characteristics of distribution fragmentation. 3) In the future, the carbon storage and carbon density of Robinia pseudoacacia forest will increase under the four climate scenarios. By 2100, the carbon storage will reach the maximum under the SSP585 scenario. [Conclusion] Under the high emission scenario, the medium-high value area of carbon storage moves northwestward and is concentrated in the eastern part of Northwest China.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-04-01
DOI
https://doi.org/10.13870/j.cnki.stbcxb.2025.02.035
Primary Topic
Forest, Soil, and Plant Ecology in China
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Potential Suitable Area Change and Carbon Sequestration Potential of Robinia pseudoacacia Plantation under Climate Change Scenario

SHILAP Revista de lepidopterología
Forest, Soil, and Plant Ecology in China
article

Potential Suitable Area Change and Carbon Sequestration Potential of Robinia pseudoacacia Plantation under Climate Change Scenario

article en

Abstract

[Objective] Robinia pseudoacacia, as the main afforestation tree species in China, plays an important role in improving the ecological environment and increasing carbon storage to alleviate climate change. This paper predicts the spatial and temporal changes of the suitable area distribution and carbon storage of Robinia pseudoacacia forest under different emission scenarios in the future, and analyzes its carbon sequestration potential, so as to provide scientific basis for regional plantation development planning and sustainable management. [Methods] Based on the MaxEnt model, this study predicted the potential suitable area of Robinia pseudoacacia under future climate scenarios, and the potential geographic distribution and area of Robinia pseudoacacia were studied quantitatively in the future. By analyzing the contribution rate of comprehensive environmental factors and the importance of substitution, the influencing factors restricting the potential geographical distribution of Robinia pseudoacacia plantation were clarified. The spatial distribution of carbon storage in 2090 s Robinia pseudoacacia forest was estimated and analyzed by using the volume stand age model and the volume biomass method. [Results] 1) Temperature factor was the most critical climatic factor affecting the distribution of potential suitable areas of Robinia pseudoacacia, with a contribution rate of 64.4%, precipitation factor came second. 2) Under the current climatic conditions, the potential suitable areas of Robinia pseudoacacia were mainly distributed in the Yellow River Basin, the Huaihe River Basin and the upper reaches of the Yangtze River, and the high suitable areas were mainly distributed in the northern part of China, accounting for about 4.2% of the total land area. Under the future climate change, the concentration of Robinia pseudoacacia loss area will increase under the SSP245 and SSP370 scenarios, mainly located in the Sichuan Basin. The expansion area was mainly distributed in the surrounding area of the stable zone, showing the characteristics of distribution fragmentation. 3) In the future, the carbon storage and carbon density of Robinia pseudoacacia forest will increase under the four climate scenarios. By 2100, the carbon storage will reach the maximum under the SSP585 scenario. [Conclusion] Under the high emission scenario, the medium-high value area of carbon storage moves northwestward and is concentrated in the eastern part of Northwest China.

SHILAP Revista de lepidopterología
Ningxia University (CN)
Openalex Percentile: Top 48%
Forest, Soil, and Plant Ecology in China
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.