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Invasive Exotic Plants in the Tropical Pacific Islands: Patterns of Diversity

机译:热带太平洋岛屿上的外来入侵植物:多样性模式

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摘要

Oceanic islands are good model systems with which to explore factors affecting exotic species diversity. Islands vary in size, topography, substrate type, degree of isolation, native species diversity, history, human population characteristics, and economic development. Moreover, islands are highly vulnerable to exotic species establishment. We used AICc analyses of data on 1132 vascular plant species for 15 countries and 114 islands from the Pacific Island Ecosystems at Risk (PIER) project to examine biological, geographical, and socioeconomic correlates of exotic species richness. PIER provides data on the distribution of naturalized non-native plant species thought to pose environmental or economic risk. We hypothesized that the numbers of PIER-listed species would be positively correlated with island size, habitat diversity, and proximity to major source pools for propagules. Further, we expected numbers of PIER-listed exotic species to be similar among islands in the same country and to be greater where human populations were larger and where economic activity was high. Most species (908) were found on [less-than or equal to] 10 islands. Species number was significantly correlated with island and country areas and with native plant species richness. The strongest model revealed by AICc analyses of island data included log (area) and maximum elevation as well as country membership, substrate type, and presence of an airport with paved runway (an index of economic activity). By country, AICc analyses revealed two equivalent models, both of which included log (area) and per capita gross domestic product as well as a measure of population size (either log (population size) or (population density)). Our analyses provide strong evidence of the roles of biogeographic, environmental, and socioeconomic impacts on the distribution and spread of exotic species.
机译:海洋岛屿是探索影响外来物种多样性的因素的良好模型系统。岛屿的大小,地形,底物类型,隔离程度,本地物种多样性,历史,人口特征和经济发展情况各不相同。此外,岛屿极易受到外来物种建立的影响。我们使用AICc分析了太平洋岛屿生态系统处于风险(PIER)项目中15个国家和114个岛屿的1132种维管植物物种的数据,以检验外来物种丰富度的生物学,地理和社会经济相关性。 PIER提供有关被认为具有环境或经济风险的非本土化野生植物物种分布的数据。我们假设被PIER列入清单的物种的数量与岛屿的大小,栖息地的多样性以及与繁殖体的主要来源库的接近程度呈正相关。此外,我们预计在同一国家的岛屿之间,被PIER列入清单的外来物种的数量将相似,而在人口众多且经济活动较高的地区,该数量将会更多。在[少于或等于] 10个岛上发现了大多数物种(908)。物种数量与岛屿和乡村地区以及本地植物物种丰富度显着相关。 AICc对岛屿数据的分析揭示出的最强模型包括原木(面积)和最大海拔高度,国家/地区成员资格,受质类型以及有跑道铺设的机场(经济活动指数)的存在。按国家划分,AICc分析揭示了两个等效模型,均包括对数(面积)和人均国内生产总值,以及对人口规模的度量(对数(人口规模)或(人口密度))。我们的分析提供了有力的证据,证明了生物地理,环境和社会经济影响对外来物种分布和扩散的作用。

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