亚热带入侵物种 Xanthium strumarium L.:巴基斯坦潜在分布区和气候适应性预测。

IF 2.3 Q2 ECOLOGY BMC ecology and evolution Pub Date : 2024-10-10 DOI:10.1186/s12862-024-02310-6
Muhammad Waheed, Sheikh Marifatul Haq, Fahim Arshad, Ivana Vitasović-Kosić, Rainer W Bussmann, Abeer Hashem, Elsayed Fathi Abd-Allah
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摘要

Xanthium strumarium L.等入侵物种会破坏生态系统,降低作物产量,使牧场退化,导致经济损失,并危及粮食安全和生物多样性。为应对 X. strumarium 等入侵物种带来的挑战,本研究利用物种分布建模(SDM)来绘制其在巴基斯坦的潜在分布图,并评估其可能如何应对气候变化。这解决了在生态威胁不断升级的情况下制定积极保护和管理策略的迫切需要。SDM 通过将已知物种的出现与环境变量相关联,预测物种在不同地域的潜在分布空间和时间。通过预测物种分布的未来栖息地适宜性并确定影响这些分布的环境因素,SDM 有可能帮助应对入侵物种带来的挑战。我们的研究表明,季节温度依赖性、最潮湿季度的平均温度和土壤总氮含量是影响 X. strumarium 栖息地适宜性的重要气候因素。这种入侵物种的潜在栖息地很可能会扩大到其目前定居的地区以外,在旁遮普和开伯尔-普赫图赫瓦地区有显著的存在。由于农业和生物多样性受到威胁,这些地区尤其脆弱。在当前条件下,估计巴基斯坦 21% 的土地面积受到 X. strumarium 的侵扰,主要集中在上旁遮普、旁遮普中部和开伯尔-普赫图赫瓦。预计除信德省外,大部分地区的虫害范围都将扩大。事实证明,该国中部和东北部地区特别适合 X. strumarium 的栖息。有效的策略对于遏制 X. strumarium 的扩散至关重要。MaxEnt 建模方法可以根据物种的气候适应性确定潜在的风险区域,从而生成入侵风险地图。这些地图有助于早期发现,使有关部门能够优先制定监控和管理策略,控制入侵物种在合适栖息地的扩散。不过,建议开展进一步研究,以了解物种对未开发环境的适应性。
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Xanthium strumarium L., an invasive species in the subtropics: prediction of potential distribution areas and climate adaptability in Pakistan.

Invasive species such as Xanthium strumarium L., can disrupt ecosystems, reduce crop yields, and degrade pastures, leading to economic losses and jeopardizing food security and biodiversity. To address the challenges posed by invasive species such as X. strumarium, this study uses species distribution modeling (SDM) to map its potential distribution in Pakistan and assess how it might respond to climate change. This addresses the urgent need for proactive conservation and management strategies amidst escalating ecological threats. SDM forecasts a species' potential dispersion across various geographies in both space and time by correlating known species occurrences to environmental variables. SDMs have the potential to help address the challenges posed by invasive species by predicting the future habitat suitability of species distributions and identifying the environmental factors influencing these distributions. Our study shows that seasonal temperature dependence, mean temperature of wettest quarter and total nitrogen content of soil are important climatic factors influencing habitat suitability of X. strumarium. The potential habitat of this invasive species is likely to expand beyond the areas it currently colonizes, with a notable presence in the Punjab and Khyber Pakhtunkhwa regions. These areas are particularly vulnerable due to threats to agriculture and biodiversity. Under current conditions, an estimated 21% of Pakistan's land area is infested by X. strumarium, mainly in upper Punjab, central Punjab and Khyber Pakhtunkhwa. The range is expected to expand in most regions except Sindh. The central and northeastern parts of the country are proving to be particularly suitable habitats for X. strumarium. Effective strategies are crucial to contain the spread of X. strumarium. The MaxEnt modeling approach generates invasion risk maps by identifying potential risk zones based on a species' climate adaptability. These maps can aid in early detection, allowing authorities to prioritize surveillance and management strategies for controlling the spread of invasive species in suitable habitats. However, further research is recommended to understand the adaptability of species to unexplored environments.

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