Evaluating landscape characteristics of predicted hotspots for plant invasions

Evaluating landscape characteristics of predicted hotspots for plant invasions
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评估植物入侵预测热点的景观特征

DOI:
10.1017/inp.2020.21
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发表时间:
2020
影响因子:
1.1
通讯作者:
G. Ervin
G. Ervin
中科院分区:
生物学4区
文献类型:
--
作者:
A. Lázaro;K. Evans;G. Ervin

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摘要入侵物种是全球生物多样性的主要威胁,也是影响全球变化的重要因素。物种分布模型(SDM)已被广泛应用于确定入侵物种可能占据的范围,但大多数例子都集中在单一空间尺度上的预测变量。在这项研究中,我们同时考虑了与气候,地形,土地覆盖,土地利用和繁殖压力有关的各种变量,以预测美国东南部哪些地区更容易受到45种入侵陆生植物的入侵。使用专家验证的发生点EDDMapS,我们在30米的分辨率为每个物种的入侵敏感性建模使用最大熵(MaxEnt)建模方法。然后,我们分析了环境预测因子如何影响在不同空间尺度上的入侵易感性。气候和土地利用变量,特别是最冷月的最低温度和距发达地区的距离,是很好的预测景观的入侵敏感性。对于大多数测试的物种来说,人类干扰的系统,如发达地区和贫瘠的土地,比人类干扰最少的地区更容易被入侵。正如预期的那样,我们发现,景观异质性和繁殖体扩散走廊的存在显着增加景观的易感性,大多数物种的入侵。然而,我们也发现了一些物种的入侵的易感性增加的景观与大的核心区域和/或较少聚集的补丁。这些例外表明,即使我们发现了预期的一般模式,大多数物种之间的入侵易感性,入侵风险的景观组成和配置的影响是物种特异性的。
Abstract Invasive species are widely recognized as a major threat to global diversity and an important factor associated with global change. Species distribution models (SDMs) have been widely applied to determine the range that invasive species could potentially occupy, but most examples focus on predictive variables at a single spatial scale. In this study, we simultaneously considered a broad range of variables related to climate, topography, land cover, land use, and propagule pressure to predict what areas in the southeastern United States are more susceptible to invasion by 45 invasive terrestrial plant species. Using expert-verified occurrence points from EDDMapS, we modeled invasion susceptibility at 30-m resolution for each species using a maximum entropy (MaxEnt) modeling approach. We then analyzed how environmental predictors affected susceptibility to invasion at different spatial scales. Climatic and land-use variables, especially minimum temperature of coldest month and distance to developed areas, were good predictors of landscape susceptibility to invasion. For most of the species tested, human-disturbed systems such as developed areas and barren lands were more prone to be invaded than areas that experienced minimal human interference. As expected, we found that landscape heterogeneity and the presence of corridors for propagule dispersal significantly increased landscape susceptibility to invasion for most species. However, we also found a number of species for which the susceptibility to invasion increased in landscapes with large core areas and/or less-aggregated patches. These exceptions suggest that even though we found the expected general patterns for susceptibility to invasion among most species, the influence of landscape composition and configuration on invasion risk is species specific.
DOI: 10.1111/ecog.03049
发表时间: 2017-07-01
期刊: ECOGRAPHY
影响因子: 5.9
作者:
Phillips, Steven J.;Anderson, Robert P.;Blair, Mary E.
通讯作者: Blair, Mary E.