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Data from: Attracted by higher crude protein, grasshopper abundance and offtake increase after prescribed fire

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NIAID Data Ecosystem2026-04-30 收录
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https://figshare.com/articles/dataset/Data_from_Attracted_by_higher_crude_protein_grasshopper_abundance_and_offtake_increase_after_prescribed_fire/24668526
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资源简介:
This study examined how indirect fire effects (improved forage quality) affect the density of and offtake by grasshoppers at two different times since fire and in unburned plots. Data include total aboveground forage removal inside and outside grasshopper exclosures, crude protein content of aboveground plant material, and grasshopper densities throughout the study period. Both forage offtake and grasshopper density were significantly higher in burned plots compared to unburned plots. Burned plot grasshopper density increased over time, with greater rates of increase in recently burned plots, while density remained constant in unburned locations. These density and offtake patterns appear to be the result of higher crude protein content in burned plots, on account of them having a much higher proportion of recent growth after fire removed aboveground senesced material. Resources in this dataset: Resource Title: Rangeland fire grasshopper forage data. File Name: RangelandFireGrasshopperForage.xlsx Resource Description: Excel file containing plot-level data used in formal analysis. Resource Title: Script. File Name: ScriptSupplement.pdf Resource Description: R script used for data wrangling and statistical analysis Resource Software Recommended: R 4.0.3,url: https://cran.r-project.org

本研究探讨了间接火烧效应(即改善饲草品质)对火烧后两个不同时间节点及未火烧样地中蝗虫种群密度与取食量的影响。本数据集涵盖研究全周期内,蝗虫排除笼(grasshopper exclosures)内外的总地上饲草移除量、地上植物材料的粗蛋白(crude protein)含量,以及蝗虫种群密度数据。 相较于未火烧样地,火烧样地的饲草取食量与蝗虫种群密度均显著更高。火烧样地的蝗虫种群密度随时间持续上升,其中近期火烧样地的种群增长速率更快,而未火烧样地的种群密度保持稳定。此类种群密度与取食量模式,推测源于火烧样地中更高的粗蛋白含量——火烧移除地上枯落组织后,样地内新生植被占比大幅提升所致。 本数据集包含以下资源: 资源标题:牧场火烧-蝗虫饲草数据集 文件名称:RangelandFireGrasshopperForage.xlsx 资源描述:包含正式分析所用样地级数据的Excel文件。 资源标题:分析脚本 文件名称:ScriptSupplement.pdf 资源描述:用于数据整理与统计分析的R脚本 推荐使用软件:R 4.0.3,下载链接:https://cran.r-project.org
创建时间:
2023-01-28
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