预测昆斯虫的潜在分布,昆斯虫是中国的入侵物种,具有最大值模型
1College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou 510642, China.
Plants (Basel, Switzerland)
|December 9, 2023
概括
侵袭性南美植物Oxalis debilis在中国广泛蔓延,威胁着生态系统. 预测建模确定了影响其分布的关键环境因素,对控制策略至关重要.
科学领域:
- 生态生态学 生态生态学
- 侵入性物种 生物学 生物学
- 生物地理学 生物地理学 生物地理学
背景情况:
- 原产于南美洲的Oxalis debilis Kunth是一种入侵性植物物种,在中国的多个地区已经存在.
- 该植物对生态造成破坏,并在中国多样化的环境中表现出显著的入侵潜力.
研究的目的:
- 用生态和环境数据预测Oxalis debilis在中国的潜在分布.
- 确定影响入侵植物传播和最佳息地条件的主导环境变量.
主要方法:
- 与ArcGIS集成的MaxEnt建模可以根据发生数据和环境变量 (生物气候,土壤,海拔,UV-B) 预测潜在分布.
- 接收器操作特征 (ROC) 曲线分析以评估模型准确性 (AUC = 0.946 ± 0.004).
- 杰克刀测试,以确定环境变量对分布的影响.
主要成果:
- 该模型准确预测了18914237平方公里的潜在分布面积 (占中国陆地面积的19.70%).
- 在中国东部,中部和南部确定了非常适合的息地,特别是在广东,广西和贵州省.
- 确定的主要环境驱动因素包括最干燥月份的降雨量,每月的昼间温度范围,最潮湿季度的平均温度和同热度.
结论:
- 这项研究提供了强有力的预测Oxalis debilis在中国的分布,突出显著的潜在传播.
- 研究结果为制定有针对性的预防和监测策略提供了关键的见解,以减轻这种入侵物种对生态和经济的影响.
- 强调需要持续监测和控制措施,以防止Oxalis debilis的进一步不受控制的传播.
更多相关视频
20:24Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
Published on: January 31, 2014
16.5K
12:26Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
Published on: October 11, 2016
13.3K
相关概念视频
01:23Mechanistic Models: Compartment Models in Individual and Population Analysis
43
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
43
01:32Probability Distributions
7.1K
The probability of a random variable x is the likelihood of its occurrence. A probability distribution represents the probabilities of a random variable using a formula, graph, or table. There are two types of probability distribution– discrete probability distribution and continuous probability distribution.
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson...
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson...
7.1K
02:16Light Acquisition
8.5K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
8.5K