首页> 外文期刊>Journal of Environmental Protection and Ecology >COORDINATION OF PICUS MODEL FORMATS IN R LANGUAGE FOR POPULATION DYNAMICS IN FOREST BASED ON CHANGES IN SINGLE MORPHOLOGICAL PARAMETER
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COORDINATION OF PICUS MODEL FORMATS IN R LANGUAGE FOR POPULATION DYNAMICS IN FOREST BASED ON CHANGES IN SINGLE MORPHOLOGICAL PARAMETER

机译:基于单个形态参数变化的森林种群动态变化R语言中的皮库斯模型格式的协调

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摘要

Forests are particularly sensitive to climate change. One of the main tools for the assessment of climate-related changes in forest dynamics was various forest ecosystem models such as PICUS. Results derived from simulations-based ecological models differ as a rule from results obtained from the measurement-based data of empirical experiments. This required a subsequent analysis in order to better understand the differences between simulations and reality. It can be done with appropriate libraries in R language: (1) to make the simulated data accessible for basic modules for ecological analysis; (2) to check their compatibility with basic graphic representations in environmental packages; (3) to present the simulation data presentation as time series (ts object) and make them available for analysis with appropriate ts-packages, and (4) to coordinate the type of presentation and analysis with the types of empirical data. This paper presents R-code followed by an explanation for the unification of PICUS simulated as well as empirical data as objects in R which can be subject to a joint analysis. The investigation was carried out by tracking of single parameter changes in the single morphological parameter DIEDCOUNT, in order to forecast forest population dynamics in seedlings of single species sessile oak population.
机译:森林对气候变化特别敏感。评估与森林相关的气候变化的主要工具之一是PICUS等各种森林生态系统模型。通常,从基于模拟的生态模型得出的结果与从基于经验的测量数据中获得的结果通常有所不同。这需要进行后续分析,以便更好地理解模拟与现实之间的差异。可以使用R语言的适当库来完成:(1)使模拟数据可用于基本模块进行生态分析; (2)检查它们与环境包装中基本图形表示的兼容性; (3)将仿真数据表示形式显示为时间序列(ts对象),并使用适当的ts-packages将其用于分析,以及(4)将表示和分析的类型与经验数据的类型进行协调。本文介绍了R代码,然后解释了PICUS仿真和经验数据作为R中对象的统一性,可以对此进行联合分析。通过跟踪单个形态参数DIEDCOUNT中的单个参数变化来进行调查,以便预测单品种无柄橡树种群幼苗中的森林种群动态。

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