...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Vegetation Science >Insights into succession processes using temporally repeated habitat models: results from a long-term study in a post-mining landscape
【24h】

Insights into succession processes using temporally repeated habitat models: results from a long-term study in a post-mining landscape

机译：使用暂时重复的栖息地模型洞察演替过程：采矿后景观的长期研究结果

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

QuestionsThe early phases of primary succession are governed by chance events and dispersal-related processes in an environment that is largely free of competition. Thus, the predictability of vegetation patterns using environmental site factors can be expected to be low and spatial autocorrelation to be high. We asked whether the match between vegetation and environment becomes better in the course of succession, and whether vegetation types shift their realized niche with time.LocationLignite mining region in Central Germany, the post-mining landscape "Goitzsche" (Saxony-Anhalt).MethodsVegetation types were mapped in a 10-m grid (total area 4.8 ha), starting in 1995, at 3-year intervals until 2007. We used a temporal comparison of habitat models. We applied: GLS regression to partition the variation in coverage of vegetation types into environmental (soil pH) and spatial components; logistic regression to model the presence/absence of vegetation types along a soil acidity gradient; and autologistic regression allowing for soil acidity and neighbourhood effects.ResultsFor most vegetation types, the proportion of variation explained by space was high but declined during succession. The outcome of autologistic models suggests that soil acidity often plays a minor role compared to neighbourhood effects in the earlier phase of succession than 12 years later. For four vegetation types, the pH range in which the type was expected to be dominant clearly became smaller with time. These trends support the view that the role of processes related to chance and dispersal decrease with time, while those related to environmental filtering mediated by biotic interactions increase.ConclusionsWe conclude that temporal comparisons of spatially explicit habitat models provide insights into changing biotic community processes and their effects on habitat specificity of species or their communities. Thus, this approach may be particularly important for analysis of ecological systems that are not in equilibrium with their environmental drivers.
机译：问题在基本没有竞争的环境中，初次继承的早期阶段由偶然事件和与分散相关的过程控制。因此，可以预期使用环境位点因子的植被格局的可预测性较低，而空间自相关性较高。我们询问了植被和环境之间的匹配是否在演替过程中变得更好，以及植被类型是否随着时间推移而改变了其已实现的生态位。位置德国中部褐煤开采地区，开采后的景观“ Goitzsche”（萨克森-安哈尔特州）。从1995年开始，以3年为间隔，在10米长的网格（总面积4.8公顷）中绘制类型，直到2007年。我们使用了栖息地模型的时间比较。我们应用了以下方法：GLS回归将植被类型的覆盖范围变化分为环境（土壤pH）和空间成分;逻辑回归，用于沿着土壤酸度梯度模拟植被类型的存在/不存在;结果对于大多数植被类型，用空间解释的变化比例很高，但在演替过程中有所下降。自律模型的结果表明，相比于12年后的演替早期阶段，邻里效应相比，土壤酸度通常起次要作用。对于四种植被类型，预计其占主导地位的pH范围会随着时间明显变小。这些趋势支持这样一种观点，即与机会和扩散有关的过程的作用会随着时间的推移而减少，而与由生物相互作用介导的环境过滤有关的过程的作用则会增加。对物种或其群落生境特异性的影响。因此，这种方法对于分析与其环境驱动因素不平衡的生态系统可能特别重要。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号