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首页> 外文期刊>Journal of Vegetation Science >Hierarchical species distribution models in support of vegetation conservation at the landscape scale
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Hierarchical species distribution models in support of vegetation conservation at the landscape scale

机译：横幅植被保护支持的分层物种分布模型

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Questions Species distribution models (SDMs) based on habitat suitability and niche quantification are powerful tools in vegetation science. Recent findings suggest that they could be applied at the landscape scale as vegetation conservation tools, but that some environmental dimensions (e.g., climate) need to be considered at larger scales. What is the importance of applying hierarchical SDMs combining information from different scales to ensure consistent local vegetation management decisions? Study Site Mainland Spain and Biosphere Reserve of Sierra del Rincon (central Spain). Methods We generated SDMs for five tree species at the regional scale (mainland Spain) using climatic variables plus presence/absence data from the Spanish National Forest Inventory; and at the landscape scale (Sierra del Rincon Biosphere Reserve) using local environmental variables plus locally gathered vegetation presence/absence data. Predictions of both regional and landscape models were combined at the landscape scale following two different hierarchical approaches. The four resulting predictions were compared with correlation coefficients and independently evaluated with the AUC statistic and data collected in the study area. Results The regional SDMs depict suitable climatic conditions for the tree species, while the landscape SDMs capture important local ecological drivers that influence habitat suitability at finer scales. Expectedly, the regional SDMs predict larger suitable areas than the landscape SDMs. The predictions from the hierarchical approaches are reliable and provide on average better results than non-hierarchical ones. Conclusions SDMs can be valuable tools for local plant conservation programs. We present examples of the applicability of a hierarchical modeling approach and conceptual and methodological solutions related to the use of these tools in local vegetation conservation programs. For example, we show that landscape SDMs could be used to determine the current distribution of endangered plant species, while a hierarchical approach would be better suited to define areas to re-vegetate within a local restoration program.
机译：基于栖息地适用性和利基量化的问题分配模型（SDMS）是植被科学的强大工具。最近的研究结果表明，它们可以在景观量表中应用作为植被保护工具，但需要在更大的尺度上考虑一些环境尺寸（例如，气候）。将分层SDMS组合信息与不同尺度相结合的重要性是什么是确保一致的本地植被管理决策？研究现场内地西班牙和塞拉德尔·林康的生物圈储备（西班牙中部）。方法采用西班牙国家森林清单的气候变量加上存在/缺席数据，在区域规模（大陆西班牙）的五棵树物种中生成了SDMS的方法;在景观量表（Sierra del Rincon Biosphere Revery）使用当地环境变量加上本地聚集的植被存在/缺席数据。在两种不同的等级方法后，区域和景观模型的预测在景观量表中相结合。将四个得到的预测与相关系数进行了比较，并通过研究区域中收集的AUC统计和数据独立评估。结果区域SDMS描绘了树种的适当气候条件，而景观SDMS捕获重要的地方生态驱动因素，这些司机在更精细的规模上影响栖息地适用性。预计，区域SDMS预测比景观SDMS更大的合适区域。来自分层方法的预测是可靠的，并且提供比非分级性的更好的结果。结论SDMS可以是当地植物保护计划的宝贵工具。我们提出了分层建模方法的适用性和与在当地植被保护计划中使用这些工具相关的概念和方法解决方案。例如，我们表明景观SDM可用于确定濒危植物物种的当前分布，而分层方法将更适合定义在局部恢复程序中重新植物的区域。

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