Department of Reclamation of Arid and Mountainous Regions, University of Tehran, Karaj, Iran; Institute of Landscape Engineering, Faculty of Horticulture and Landscape Engineering, Slovak University of Agriculture, Nitra, Slovakia.
Department of Reclamation of Arid and Mountainous Regions, University of Tehran, Karaj, Iran.
J Environ Manage. 2024 Feb 27;353:120209. doi: 10.1016/j.jenvman.2024.120209. Epub 2024 Jan 30.
Wildfires have a significant impact on ecosystems worldwide, especially on the degradation of arid and semi-arid rangelands. This research focuses on assessing the effects of wildfires on the habitat of Trigonella elliptica, a valuable herb species found in the central rangelands of Iran. To achieve this, the Random Forest (RF) algorithm has been deployed to predict T. elliptica habitat and fire hazard using socio-environmental variables in Yazd province, Iran. 225 fire points and 103 habitat locations were used for model training and testing. The IncNodePurity index and Probability Curves (PC) have been utilized to determine the influence of socio-environmental variables. The combination of the prediction maps of the habitat and wildfires pointed out the possible damage due to fire. The high performance of the RF model is confirmed by the area under the curve (AUC) and the true skill statistic (TSS) values (0.90 and 0.81 for the habitat; 0.92 and 0.82 for the wildfire). The importance assessment of variables revealed that elevation, slope, and precipitation are the most influential variables in the distribution of T. elliptica, while distance to roads, population density, and wind speed are the key factors affecting wildfire occurrence. In the final map, a comparison of different regions of T. elliptica habitat under fire hazard with fire-free habitats using Kruskal-Wallis and Dunn tests indicated that the fire hazard in the T. elliptica habitat is a serious concern. Since the areas with the highest fire hazard and the highest presence of T. elliptica cover approximately 2311.38 km, neglecting these regions could lead to the gradual reduction of T. elliptica, and create conditions for secondary succession dominated by less valuable annual species. The findings of this study underscore the importance of implementing fire management strategies, protection projects, and continuous monitoring to ensure the safety and conservation of the T. elliptica habitat.
野火对全球生态系统,特别是干旱和半干旱牧场的退化,有着重大影响。本研究聚焦于评估野火对伊朗中部牧场中一种珍贵草本物种 Trigonella elliptica 生境的影响。为此,采用随机森林 (RF) 算法,利用伊朗亚兹德省的社会环境变量,来预测 T. elliptica 生境和火灾危险。模型训练和测试使用了 225 个火灾点和 103 个生境点。采用 IncNodePurity 指数和概率曲线 (PC) 来确定社会环境变量的影响。生境和野火预测图的结合,指出了可能因火灾造成的破坏。曲线下面积 (AUC) 和真技巧统计量 (TSS) 值 (生境为 0.90 和 0.81;野火为 0.92 和 0.82) 证实了 RF 模型的高性能。变量重要性评估表明,海拔、坡度和降水是 T. elliptica 分布的最具影响力的变量,而道路距离、人口密度和风速是影响野火发生的关键因素。在最终地图中,使用 Kruskal-Wallis 和 Dunn 检验比较了不同火灾危险区和无火灾生境下的 T. elliptica 生境,结果表明,T. elliptica 生境的火灾危险是一个严重的问题。由于火灾危险最高和 T. elliptica 覆盖率最高的区域约为 2311.38 平方公里,如果忽视这些区域,可能会导致 T. elliptica 逐渐减少,并为以价值较低的一年生物种为主的次生演替创造条件。本研究的结果强调了实施火灾管理策略、保护项目和持续监测的重要性,以确保 T. elliptica 生境的安全和保护。