Bashari Hossein, Bazgir Fereshteh, Vahabi Mohammad Reza
Department of Natural Resources Isfahan University of Technology Isfahan Iran.
Ecol Evol. 2025 May 22;15(5):e71287. doi: 10.1002/ece3.71287. eCollection 2025 May.
Invasive plants pose a threat to production sustainability due to their detrimental effects on soil, food cycles, and hydrology. This study aimed to identify and analyze the effects of five invasive plant species on the rangelands of western Isfahan province, Iran. A random-systematic sampling of vegetation cover and soil was conducted at four rangeland sites, and mean soil characteristics were compared using one-way analysis of variance and Tukey's test. Parametric principal component analysis (PCA) and nonparametric multidimensional scaling (NMDS) analysis in CANOCO and PATN software were used to investigate the relationship between environmental factors and vegetation cover. Cluster analysis was employed for habitat grouping, and the Analytic Hierarchy Process (AHP) was utilized to analyze the risk of invasive plants. The analysis involved three main criteria, eight subcriteria, and five options. The compatibility ratio of each criterion was calculated using Expert Choice software to assess the accuracy of criteria weighting. Parametric ordination revealed significant correlations between the first and second principal components and mean annual precipitation, mean annual temperature, altitude, slope, nitrogen, and calcium. NMDS analysis revealed significant correlations between plant species and seven environmental variables in a three-dimensional ordination space ( < 0.05). Among the target species, showed a positive correlation with rainfall, altitude, slope, calcium, nitrogen, and a negative correlation with mean annual temperature, rock, and gravel. However, the relationship of other species with environmental factors was not significant. Notably, , , , , and exhibited the most destructive effects, respectively. The study results can inform targeted efforts to protect rangeland ecosystems against invasive plants. Furthermore, the study method is applicable for assessing the risk of other plant species in semiarid ecosystems.
入侵植物因其对土壤、食物循环和水文的有害影响，对生产可持续性构成威胁。本研究旨在识别和分析五种入侵植物物种对伊朗伊斯法罕省西部牧场的影响。在四个牧场地点对植被覆盖和土壤进行了随机系统抽样，并使用单因素方差分析和图基检验比较了平均土壤特征。利用CANOCO和PATN软件中的参数主成分分析（PCA）和非参数多维尺度分析（NMDS）来研究环境因素与植被覆盖之间的关系。采用聚类分析进行栖息地分组，并利用层次分析法（AHP）分析入侵植物的风险。分析涉及三个主要标准、八个子标准和五个选项。使用Expert Choice软件计算每个标准的兼容性比率，以评估标准加权的准确性。参数排序显示，第一和第二主成分与年平均降水量、年平均温度、海拔、坡度、氮和钙之间存在显著相关性。NMDS分析显示，在三维排序空间中，植物物种与七个环境变量之间存在显著相关性（<0.05）。在目标物种中， 与降雨量、海拔、坡度、钙、氮呈正相关，与年平均温度、岩石和砾石呈负相关。然而，其他物种与环境因素的关系并不显著。值得注意的是， 、 、 、 和 分别表现出最具破坏性的影响。研究结果可为保护牧场生态系统免受入侵植物侵害的针对性努力提供参考。此外，该研究方法适用于评估半干旱生态系统中其他植物物种的风险。
