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Disentangling the influence of environmental and anthropogenic factors on the distribution of endemic vascular plants in Sardinia

机译:解析环境和人为因素对撒丁岛特有维管植物分布的影响

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摘要

Due to the impelling urgency of plant conservation and the increasing availability of high resolution spatially interpolated (e.g. climate variables) and categorical data (e.g. land cover and vegetation type), many recent studies have examined relationships among plant species distributions and a diversified set of explanatory factors; nevertheless, global and regional patterns of endemic plant richness remain in many cases unexplained. One such pattern is the 294 endemic vascular plant taxa recorded on a 1 km resolution grid on the environmentally heterogeneous island of Sardinia. Sixteen predictors, including topographic, geological, climatic and anthropogenic factors, were used to model local (number of taxa inside each 1 km grid cell) Endemic Vascular Plant Richness (EVPR). Generalized Linear Models were used to evaluate how each factor affected the distribution of local EVPR. Significant relationships with local EVPR and topographic, geological, climatic and anthropogenic factors were found. In particular, elevation explained the larger fraction of variation in endemic richness but other environmental factors (e.g. precipitation seasonality and slope) and human-related factors (e.g. the Human Influence Index (HII) and the proportion of anthropogenic land uses) were, respectively, positively and negatively correlated with local EVPR. Regional EVPR (number of endemic taxa inside each 100 m elevation interval) was also measured to compare local and regional EVPR patterns along the elevation gradient. In contrast to local, regional EVPR tended to decrease with altitude partly due to the decreasing area covered along altitude. The contrasting results between local and regional patterns suggest that local richness increases as a result of increased interspecific aggregation along altitude, whereas regional richness may depend on the interaction between area and altitude. This suggests that the shape and magnitude of the species-area relationship might vary with elevation. This work provides—for the first time in Sardinia—a comprehensive analysis of the influence of environmental factors on the pattern of EVPR in the entire territory, from sea level to the highest peaks. Elevation, as well as other environmental and human-related variables, were confirmed to be influencing factors. In addition, variations of EVPR patterns at regional-to-local spatial scales inspire next investigations on the possible interaction between elevation and area in explaining patterns of plant species richness.
机译:由于迫切需要植物保护,并且高分辨率空间插值(例如,气候变量)和分类数据(例如,土地覆盖和植被类型)的可用性越来越高,因此许多最近的研究已经研究了植物物种分布之间的关系,并提出了多种解释性的解释。因素;但是,在许多情况下仍无法解释全球和区域特有植物丰富度的模式。一种这样的模式是在环境异质的撒丁岛上以1 km的分辨率网格记录的294种地方维管植物类群。包括地形,地质,气候和人为因素在内的16种预测因子用于模拟局部(每1 km网格单元内的分类单元数量)地方性维管植物丰富度(EVPR)。使用广义线性模型来评估每个因素如何影响局部EVPR的分布。发现与当地EVPR以及地形,地质,气候和人为因素之间存在显着关系。特别是,海拔高度解释了地方性丰富度变化的较大部分,但其他环境因素(例如降水季节和坡度)和与人类有关的因素(例如人类影响指数(HII)和人为土地利用的比例)分别是,与当地EVPR正相关和负相关。还测量了区域EVPR(每100 m高程内的地方性分类单元的数量),以比较沿海拔梯度的局部和区域EVPR模式。与局部相反,局部EVPR随海拔高度而下降,部分原因是沿海拔覆盖的面积减少。局部模式与区域模式之间的对比结果表明,随着海拔高度的种间聚集增加,局部丰富度增加,而区域丰富度可能取决于面积与海拔高度之间的相互作用。这表明物种-区域关系的形状和大小可能会随海拔高度而变化。这项工作首次在撒丁岛提供了对环境因素对从海平面到最高峰的整个领土内EVPR模式影响的综合分析。海拔以及其他与环境和人类相关的变量被证实是影响因素。此外,EVPR模式在区域到局部空间尺度上的变化激发了对海拔和面积之间可能相互作用的进一步研究,以解释植物物种丰富度的模式。

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