当前位置: X-MOL 学术Perspect. Plant Ecol. Evol. Syst. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Climate and landscape heterogeneity drive spatial pattern of endemic plant diversity within local hotspots in South-Eastern Alps
Perspectives in Plant Ecology, Evolution and Systematics ( IF 3.6 ) Pub Date : 2020-01-23 , DOI: 10.1016/j.ppees.2020.125512
Enrico Tordoni , Valentino Casolo , Giovanni Bacaro , Fabrizio Martini , Angelica Rossi , Francesco Boscutti

Identification of centers of endemism is a crucial issue to improve the understanding on overall biodiversity distribution and related conservation actions. Despite the well-known distribution of global endemic areas, less effort has been devoted in defining local hotspots and their ecological determinants. In this study, we analyzed the distribution and the spatial pattern of endemic diversity of vascular plant in the south-eastern Italian Alps, aiming at identifying the occurrence of local hotspots and focusing on the relationships occurring between alpha (i.e. species richness) and beta diversity (i.e. Local Contributors of Beta Diversity) along with their ecological and spatial drivers. We observed that both alpha and beta diversity metrics have a strong negative relationship, showing a clear spatial pattern. Among the environmental drivers, geomorphological and climatic variables were the most influent, pointing out the importance of landscape heterogeneity and local oceanic climate conditions to favor endemic richness. We also found that historical factors (i.e. Last Glacial Maximum) significantly affected the pattern of endemic diversity. Interestingly, most of the variables showed contrasting effects on alpha and beta diversity.

Our study proposes an approach for the identification of local hotspots of endemic species, which take into account both the spatially structured nature of ecological data and their associated environmental drivers. Our findings might provide new insights in the ecological process driving current endemic plant patterns and become pivotal for nature conservationist both to identify areas of high conservation value and to suggest appropriate management schemes also beyond existing protected areas.



中文翻译:

气候和景观异质性驱动东南阿尔卑斯山局部热点地区特有植物多样性的空间格局

确定地方性中心是提高对整体生物多样性分布和相关保护行动的了解的关键问题。尽管全球流行地区分布广为人知,但在定义本地热点及其生态决定因素方面投入的精力却很少。在这项研究中,我们分析了意大利东南部阿尔卑斯山维管植物的地方性多样性分布和空间格局,旨在确定局部热点的发生,并着重于阿尔法(即物种丰富度)与贝塔多样性之间的关系。 (即Beta多样性的本地贡献者)及其生态和空间驱动力。我们观察到,α和β多样性指标均具有很强的负相关性,显示出清晰的空间格局。在环境驱动因素中,地貌和气候变量的影响最大,指出了景观异质性和当地海洋气候条件对促进地方特有性的重要性。我们还发现历史因素(即上一次冰河期最大值)显着影响地方性多样性的格局。有趣的是,大多数变量对alpha和beta多样性表现出相反的影响。

我们的研究提出了一种识别地方特有物种热点的方法,该方法考虑了生态数据的空间结构性质及其相关的环境驱动因素。我们的发现可能会为推动当前特有植物格局的生态过程提供新的见解,并成为自然保护主义者的关键,既可以确定具有高保护价值的地区,也可以建议现有保护区以外的适当管理方案。

更新日期:2020-03-27
down
wechat
bug