基于机器学习模型,预测中国四个主要茶叶生产地区适合茶叶植物息地的变化
Wenqi Zhang1, Lisha Yang1, Yanxia Wang1
1College of Soil and Water Conservation, Southwest Forestry University, Kunming, Yunnan, China.
PloS one
|October 8, 2025
概括
气候变暖正在将适合的茶叶息地向北移动,可能会增加关键地区与森林的重叠. 这项研究有助于可持续发展的茶叶开发和生态保护规划.
科学领域:
- 生态生态学 生态生态学
- 农业科学 农业科学
- 气候科学 气候科学
背景情况:
- 全球气候变暖需要了解农业适用性的转变.
- 茶叶行业的可持续发展和生态保护需要绘制茶叶植物息地的地图.
- 评估息地扩张对森林生态系统的影响至关重要.
研究的目的:
- 模拟目前和未来适合中国茶叶植物的息地.
- 评估茶叶息地扩张侵占森林土地的潜在风险.
- 为优化茶叶种植区分和适应气候的战略提供见解.
主要方法:
- 集成的机器学习 (随机森林,MaxEnt,XGBoost,SVM,LightGBM) 和地理空间分析.
- 利用14个气候,地形和土壤变量进行息地建模.
- 在3个共享社会经济路径 (SSP1-2.6,SSP3-7.0,SSP5-8.5) 下模拟的息地,分辨率为1公里.
主要成果:
- 目前,86.84%的茶叶种植区具有适合的息地.
- 未来的变暖情景预测适合息地的北向转移,江南和江北茶区的适合性增加.
- 息地扩张对森林土地构成风险,特别是在高排放场景下的西南和江北茶区.
结论:
- 在气候变化下,茶叶植物息地是动态的,预计将出现显著的北向转移.
- 茶叶息地的潜在扩张可能会增加与森林生态系统的生态冲突.
- 结果支持适应性管理,以实现可持续茶叶种植和土地利用协调.
相关概念视频
01:19Survival Tree
385
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
Building a Survival Tree
Constructing a...
Building a Survival Tree
Constructing a...
385
01:16What is Climate?
20.4K
Climate refers to the prevailing weather conditions in a specific area over an extended period. As the saying goes, “Climate is what you expect. Weather is what you get.” Climate is influenced by geographic factors, such as latitude, terrain, and proximity to bodies of water.
20.4K