生物多样性 ›› 2023, Vol. 31 ›› Issue (5): 22345. DOI: 10.17520/biods.2022345
• 研究报告: 植物多样性 • 下一篇
谢艳秋1, 黄晖1,2, 王春晓1, 何雅琴3, 江怡萱1, 刘子琳1, 邓传远1,*(), 郑郁善1
收稿日期:
2022-06-24
接受日期:
2023-04-10
出版日期:
2023-05-20
发布日期:
2023-05-19
通讯作者:
* E-mail: 基金资助:
Yanqiu Xie1, Hui Huang1,2, Chunxiao Wang1, Yaqin He3, Yixuan Jiang1, Zilin Liu1, Chuanyuan Deng1,*(), Yushan Zheng1
Received:
2022-06-24
Accepted:
2023-04-10
Online:
2023-05-20
Published:
2023-05-19
Contact:
* E-mail: 摘要:
福建海岛具有丰富的滨海特有植物资源, 研究其物种丰富度的分布格局及机制, 能够为滨海特有植物资源保护提供依据。本研究探讨了福建53个海岛滨海特有植物的种-面积关系, 以及景观、人为干扰和气候3个方面10个环境因子对滨海特有植物物种丰富度的影响。同时还探讨了不同生活型(乔木、灌木、草本)对海岛环境因子的响应。结果表明: 滨海特有植物和不同生活型植物的种-面积关系呈现物种丰富度随着面积增加而增加的趋势, 滨海特有植物、乔木、灌木和草本的种-面积关系的斜率(z)分别为0.16、0.15、0.15和0.14。景观环境因子中的面积、形状指数和周长面积比是解释福建海岛滨海特有植物及不同生活型植物物种丰富度的主要决定因素, 滨海特有植物及各生活型植物物种丰富度随着面积和形状指数的增加而增加, 而滨海特有植物、灌木和草本的物种丰富度随着周长面积比的增加而减少。此外, 不同生活型植物的物种丰富度对海岛环境因子的响应存在差异, 除景观方面的因子外, 气候对乔木的解释率最大, 达9.82%。综上所述, 相比于其他海岛生态系统, 福建海岛滨海特有植物及不同生活型植物的物种丰富度与面积密切相关, 其较低的斜率(z)表明滨海特有植物对海岛生境的敏感性较弱。景观方面的环境因子相比气候和人为干扰方面贡献了更多的解释率。以往研究发现岛屿环境因子与生境异质性显著相关, 如岛屿越大、形状越不规则、周长面积比越低, 则生境异质性越高。因此生境异质性的提升可能是解释滨海特有植物丰富度随景观环境因子变化的内在机制。
谢艳秋, 黄晖, 王春晓, 何雅琴, 江怡萱, 刘子琳, 邓传远, 郑郁善 (2023) 福建海岛滨海特有植物种-面积关系及物种丰富度决定因素. 生物多样性, 31, 22345. DOI: 10.17520/biods.2022345.
Yanqiu Xie, Hui Huang, Chunxiao Wang, Yaqin He, Yixuan Jiang, Zilin Liu, Chuanyuan Deng, Yushan Zheng (2023) Determinants of species-area relationship and species richness of coastal endemic plants in the Fujian islands. Biodiversity Science, 31, 22345. DOI: 10.17520/biods.2022345.
图4 环境因子之间的Pearson相关性分析和Mantel检验。Area: 面积; Elevation: 海拔; PAR: 周长面积比; SI: 形状指数; AMW: 年均风速; AMT: 年均温; AP: 年降水量; DM: 距大陆距离; DN: 距最近大岛距离; BFA: 建筑与农田面积占比。* P < 0.05; ** P < 0.01; *** P < 0.001。
Fig. 4 Pearson correlation and Mantel test between environmental factors. Area, Area; Elevation, Elevation; PAR, Perimeter area ratio; SI, Shape index; AMW, Annual mean wind; AMT, Annual mean temperature; AP, Annual precipitation; DM, Distance to the mainland; DN, Distance to the nearest big island; BFA, Proportion of buildings to farmland area. * P < 0.05; ** P < 0.01; *** P < 0.001.
图5 滨海特有植物以及不同生活型物种丰富度的最佳模型选择和层次分割分析。图中森林图为使用全子集回归, 并根据最小AICc值筛选得出的最优模型, 森林图中虚线左侧为负相关, 右侧为正相关。柱形图为基于最优模型的层次分割分析。Area: 面积; Elevation: 海拔; PAR: 周长面积比; SI: 形状指数; AMW: 年均风速; AMT: 年均温; AP: 年降水量; DM: 距大陆距离; DN: 距最近大岛距离; BFA: 建筑与农田面积占比。
Fig. 5 The best model selection and hierarchical partitioning analysis of coastal endemic plants and different growth forms of species richness. The forest plot in the figure shows the optimal model obtained by using full subset regression and screening based on the minimum AICc value. The left side of the dashed line in the forest plot shows a negative correlation, while the right side shows a positive correlation. The column chart is a hierarchical segmentation analysis based on the optimal model. Area, Area; Elevation, Elevation; PAR, Perimeter area ratio; SI, Shape index; AMW, Annual mean wind; AMT, Annual mean temperature; AP, Annual precipitation; DM, Distance to the mainland; DN, Distance to the nearest big island; BFA, Proportion of buildings to farmland area.
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