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首页> 外文期刊>GIScience & remote sensing >Predicting macronutrient concentrations from loblolly pine leaf reflectance across local and regional scales
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Predicting macronutrient concentrations from loblolly pine leaf reflectance across local and regional scales

机译：从地方和区域尺度上的火炬松叶片反射率预测大量营养素浓度

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摘要

Given the economic importance of loblolly pine (Pinus taeda) in the southeastern US, there is a need to establish efficient methods of detecting potential nutrient deficiencies that may limit productivity. This study evaluated the use of remote sensing for macronutrient assessment in loblolly pine. Reflectance-based models were developed at two spatial scales: (1) a natural nutrient gradient across the species' range, and (2) localized fertilization and genotype treatments in North Carolina and Virginia. Fascicles were collected regionally from 237 samples of 3 flushes at 18 sites, and locally from 72 trees with 2 fertilization treatments and 6 genotypes. Sample spectral reflectance was calculated using a spectroradiometer, and nutrient concentrations were measured with dry combustion and wet chemical digestion. Results were analyzed statistically using nutrient correlations with reflectance and common vegetation indices, and partial least squares regression (PLSR). PLSR performed well at the regional scale, with R~2 values for nitrogen, phosphorus, potassium, calcium, and magnesium of 0.81, 0.70, 0.68, 0.42, and 0.51, respectively. No model successfully predicted nutrients at local sites for any treatment or canopy stratum. This discrepancy implies that a large nutrient range and/or spatial scale may be necessary to model loblolly pine nutrients with spectral reflectance.
机译：鉴于火炬松（Pinus taeda）在美国东南部的经济重要性，需要建立一种有效的方法来检测可能限制生产力的潜在营养缺乏症。这项研究评估了遥感对火炬松中丰富营养素的评估。在两个空间尺度上开发了基于反射率的模型：（1）跨物种范围的自然营养梯度，（2）在北卡罗来纳州和弗吉尼亚州进行的局部施肥和基因型处理。从18个站点的3个潮红的237个样本中局部收集了分册，并从72种树木中局部收集了2种施肥处理和6种基因型。使用分光辐射计计算样品的光谱反射率，并通过干燃烧和湿化学消化法测量营养物浓度。使用营养成分与反射率和常见植被指数以及偏最小二乘回归（PLSR）对结果进行统计分析。 PLSR在区域规模上表现良好，氮，磷，钾，钙和镁的R〜2值分别为0.81、0.70、0.68、0.42和0.51。没有模型能够成功预测任何处理或冠层的本地养分。这种差异意味着可能需要较大的养分范围和/或空间规模来模拟具有光谱反射率的火炬松养分。

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  • 来源
    《GIScience & remote sensing》 |2014年第3期|269-287|共19页
  • 作者

    Beth R. Stein; Valerie A. Thomas; Laura J. Lorentz; Brian D. Strahm;

  • 作者单位

    Department of Forest Resources & Environmental Conservation, College of Natural Resources and Environment, Virginia Tech, 305 Cheatham Hall, Blacksburg, 24061 VA, USA;

    Department of Forest Resources & Environmental Conservation, College of Natural Resources and Environment, Virginia Tech, 307A Cheatham Hall, Blacksburg, 24061 VA, USA;

    Department of Forest Resources & Environmental Conservation, College of Natural Resources and Environment, Virginia Tech, 305 Cheatham Hall, Blacksburg, 24061 VA, USA;

    Department of Forest Resources & Environmental Conservation, College of Natural Resources and Environment, Virginia Tech, 228 Cheatham Hall, Blacksburg, 24061 VA, USA;

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  • 正文语种 eng
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  • 关键词

    remote sensing; spectroradiometer; nutrients; loblolly pine; partial least squares regression; spatial scale;

    机译：遥感;分光辐射计营养素火炬松偏最小二乘回归;空间尺度;

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