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保护区内外的植物入侵风险:繁殖体压力、非生物和生物因素确实很重要。

Plant invasion risk inside and outside protected areas: Propagule pressure, abiotic and biotic factors definitively matter.

机构信息

Department of Agricultural Sciences, University of Sassari, Viale Italia 39/A, 07100 Sassari, Italy; National Biodiversity Future Center (NBFC), Palermo 90133, Italy.

National Biodiversity Future Center (NBFC), Palermo 90133, Italy; EnviX-Lab, Dipartimento Di Bioscienze e Territorio, Università Degli Studi Del Molise, C. DaFonte Lappone, 86090 Pesche, IS, Italy.

出版信息

Sci Total Environ. 2023 Jun 15;877:162993. doi: 10.1016/j.scitotenv.2023.162993. Epub 2023 Mar 21.

Abstract

Invasive alien species are among the main global drivers of biodiversity loss posing major challenges to nature conservation and to managers of protected areas. The present study applied a methodological framework that combined invasive Species Distribution Models, based on propagule pressure, abiotic and biotic factors for 14 invasive alien plants of Union concern in Italy, with the local interpretable model-agnostic explanation analysis aiming to map, evaluate and analyse the risk of plant invasions across the country, inside and outside the network of protected areas. Using a hierarchical invasive Species Distribution Model, we explored the combined effect of propagule pressure, abiotic and biotic factors on shaping invasive alien plant occurrence across three biogeographic regions (Alpine, Continental, and Mediterranean) and realms (terrestrial and aquatic) in Italy. We disentangled the role of propagule pressure, abiotic and biotic factors on invasive alien plant distribution and projected invasion risk maps. We compared the risk posed by invasive alien plants inside and outside protected areas. Invasive alien plant distribution varied across biogeographic regions and realms and unevenly threatens protected areas. As an alien's occurrence and risk on a national scale are linked with abiotic factors followed by propagule pressure, their local distribution in protected areas is shaped by propagule pressure and biotic filters. The proposed modelling framework for the assessment of the risk posed by invasive alien plants across spatial scales and under different protection regimes represents an attempt to fill the gap between theory and practice in conservation planning helping to identify scale, site, and species-specific priorities of management, monitoring and control actions. Based on solid theory and on free geographic information, it has great potential for application to wider networks of protected areas in the world and to any invasive alien plant, aiding improved management strategies claimed by the environmental legislation and national and global strategies.

摘要

入侵的外来物种是全球生物多样性丧失的主要驱动因素之一,对自然保护和保护区管理者构成了重大挑战。本研究应用了一种方法框架,该框架结合了基于繁殖体压力、非生物和生物因素的入侵物种分布模型,对意大利 14 种受关注的入侵外来植物进行了研究,同时还应用了局部可解释模型不可知解释分析,旨在绘制、评估和分析全国范围内保护区内外的植物入侵风险。我们使用分层入侵物种分布模型,探索了繁殖体压力、非生物和生物因素对意大利三个生物地理区域(阿尔卑斯山、大陆和地中海)和领域(陆地和水生)中入侵外来植物出现的综合影响。我们分解了繁殖体压力、非生物和生物因素对入侵外来植物分布的作用,并预测了入侵风险图。我们比较了保护区内外入侵外来植物所构成的风险。入侵外来植物的分布在生物地理区域和领域之间存在差异,并且对保护区的威胁不均衡。由于外来物种在全国范围内的出现和风险与其生物因素有关,其次是繁殖体压力,因此它们在保护区内的局部分布受到繁殖体压力和生物滤器的影响。本研究提出的评估入侵外来植物在不同空间尺度和保护制度下所构成的风险的建模框架,试图弥补保护规划理论与实践之间的差距,有助于确定管理、监测和控制行动的规模、地点和物种特异性优先事项。该框架基于坚实的理论和免费的地理信息,具有在世界范围内更广泛的保护区网络以及任何入侵外来植物中应用的巨大潜力,有助于改进环境立法、国家和全球战略所要求的管理策略。

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