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Factors affecting pine processionary moth (Thaumetopoea pityocampa) incidence in Mediterranean pine stands

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Figshare2022-12-20 更新2026-04-08 收录
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资源简介:
Descriptive variables considered in the analysis of factors affecting pine processionary moth (Thaumetopoea pityocampa) incidence in 98 pine stands in Guadarrama and Malagón mountains (central Spain). <br> Azcárate, FM; Seoane, J.; Silvestre, M. 2023. Factors affecting pine processionary moth (<em>Thaumetopoea pityocampa</em>) incidence in Mediterranean pine stands: A multiscale approach. <em>Forest Ecology and Management</em>, 529: 120728. https://doi.org/10.1016/j.foreco.2022.120728. <br> These variables were recorded at three scales: - stand: area covered by pine trees within a 1 ha circle [56.4 radius] centred in the sampling points (that is, disregarding the cover of other tree and shrub species) - plot: 1 ha circle, including vegetation other than the pine stands. - locality: 10 ha circle (179 m radius) centred in the sampling points. <br> Variables were transformed and z-standardised previous to modelling. See the above publication, supplementary material I, for the rationale, detailed description and source of these variables. See table 1 for the observed range. <br> The dataset is provided as a .xlsx worksheet with three sheets: - data: variable values - README: description of variables in data sheet - references: references cited in README <br> Some formatting has been added to help readability.

本数据集收录西班牙中部瓜达拉马山与马拉贡山的98个松林林分中,用于分析松异舟蛾(Thaumetopoea pityocampa)发生情况影响因子的相关描述性变量。 本数据集相关研究文献引自:Azcárate FM、Seoane J、Silvestre M,2023。《地中海松林林分松异舟蛾发生的影响因子:多尺度研究方法》,刊载于《森林生态与经营(Forest Ecology and Management)》第529卷,文章编号120728,DOI:10.1016/j.foreco.2022.120728。 本次研究的变量按三类尺度开展观测: 1. 林分尺度(stand):以采样点为中心、半径56.4米(对应1公顷面积)的圆形区域内的纯松林覆盖面积,即不计入其他乔木与灌木物种的盖度; 2. 样方尺度(plot):以采样点为中心的1公顷圆形区域,包含松林以外的其他植被类型; 3. 区域尺度(locality):以采样点为中心、半径179米(对应10公顷面积)的圆形区域。 所有变量在建模前均已完成转换与Z标准化(z-standardised)处理。相关变量的理论依据、详细说明与数据来源可参阅上述论文的补充材料I;变量的观测取值范围详见表1。 本数据集以.xlsx工作簿格式提供,内含三个工作表: - data:存储各变量的实测数值; - README:对data工作表中的变量进行详细说明; - references:收录README中引用的全部参考文献。 本数据集已优化格式以提升可读性。
提供机构:
Silvestre, Mariola; Azcárate, Francisco M.; Seoane, Javier
创建时间:
2022-12-20
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