基于响应曲面模型矿区3种植物种子萌发生态位研究
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1.辽宁工程技术大学环境科学与工程学院;2.辽宁工程技术大学矿业学院;3.吉林农业大学资源与环境学院

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辽宁省高校基本科研业务费项目(LJ212410147039);国家自然科学基金资助项目(41701325);矿山重大灾害防治与环境修复协同创新中心开放课题(CXZX-2024-14);辽宁省自然基金联合基金计划项目(2025-Z0008)


Research on seed germination ecological niche of three plant species in mining areas based on response surface model
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College of Resources and Environment, Northwest Agriculture and Forest University

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    摘要:

    本研究以苜蓿、狗牙根和黑麦草为对象,采用人工模拟萌发胁迫实验,利用Central Composite Design(CCD)进行实验设计和双因素方差分析,构建种子萌发对水热胁迫的响应模型,量化萌发生态位宽度,进而探讨其对矿区植被恢复的指导意义。结果表明:采用响应面法建立的3个植物种种子萌发响应胁迫的模型具有统计学意义(P<0.05),验证显示模型拟合度良好且预测精度较高(R2>0.85),平均绝对误差(MAE)指数均低于20%,其中狗牙根的模型精确度最高。通过对比Levins与Shannon指数,发现Levins指数能更准确量化萌发生态位宽度,并与95%有效萌发生态位阈值高度一致。三种植物中,狗牙根在高温胁迫下表现出最宽的生态位(温度宽度11.31℃,Levins指数4723.13),显著优于苜蓿和黑麦草,黑麦草则在水分胁迫下生态位较宽(?w=10.61%)。因此,狗牙根在高温胁迫环境下作为优选恢复植物种更具明显的萌发成功优势。本研究结果有助于在条件恶劣的矿区基于植物萌发响应胁迫的生态位优选恢复植物种,同时为播种后种子萌发的管理抚育措施提供指导,进而提高生态恢复的成功率。

    Abstract:

    Vegetation restoration serves as a fundamental approach to ecological rehabilitation in mining areas. Seed ger-mination, which determines the initiation of plant life cycles, plays a crucial role in this process. The ecological niche of seeds critically influences their successful germination and subsequent establishment in harsh habitats. This study focused on Medicago sativa, Cynodon dactylon and Lolium perenne, as the research objects. Artificial sim-ulation experiments were conducted to examine the effects of stress on seed germination, and Central Composite Design (CCD) was used for experimental design and two factor analysis of variance to construct a response model of seed germination to hydrothermal stress. The ecological niche width of germination was quantified, and its guiding significance of vegetation restoration in mining areas was explored. The results showed that the three plant seeds germination response models established using response surface methodology had statistical significance (P<0.05). The validation showwd that the model has good fitting and high prediction accuracy (R2>0.85), and the average absolute error (MAE) index was less than 20%, and the accuracy of Cynodon dactylon model was the highest. All Willmott’s index of agreement (WI) values exceeded 0.85, while the Kappa coefficients for all species surpassed 0.6, except for Medicago sativa (0.43). By comparing Levins' index with Shannon's index, it was found that Levins' index can more accurately quantify the width of sprouting States, and was highly consistent with the threshold of 95% effective sprouting states. Among the three plants, bermudagrass showed the widest niche under high temperature stress (temperature width 11.31℃, Levins index 4723.13), which was significantly better than alfalfa and ryegrass. Lolium perenne has a wider ecological niche under water stress (?w=10.61%). The effective moisture widths of Medicago sativa, Cynodon dactylon, and Lolium perenne were determined to be 9.21%, 9.9%, and 10.61%, respectively, with corresponding effective temperature widths measuring 9.9°C, 11.31°C, and 6.37°C. Therefore, C. dactylon had a more significant advantage in germination success as a preferred restoration plant species under high temperature stress environment. These findings contributed to the selection of plant species for ecological niche restoration based on germination responses to stress in harsh mining areas and provide guidance on seed management and germination strategies post-sowing, thereby improving the success rate of ecological restoration.

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李佳欣,王东丽,赵晓亮,姜聚宇,沈海鸥.基于响应曲面模型矿区3种植物种子萌发生态位研究.生态学报,,(). http://dx. doi. org/[doi]

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