The investigation of leaf-level traits in response to varying environmental conditions has immense importance for understanding plant ecology. Remote sensing technology enables measurement of the reflectance of plants to make inferences about underlying traits along environmental gradients. While much focus has been placed on understanding how reflectance and traits are related at the leaf-level, the challenge of modelling the dependence of this relationship along environmental gradients has limited this line of inquiry. Here, we take up the problem of jointly modeling traits and reflectance given environment. Our objective is to assess not only response to environmental regressors but also dependence between trait levels and the reflectance spectrum in the context of this regression. This leads to joint modeling of a response vector of traits with reflectance arising as a functional response over the wavelength spectrum. To conduct this investigation, we employ a dataset from a global biodiversity hotspot, the Greater Cape Floristic Region in South Africa.
翻译:根据不同环境条件对叶层特性的调查对于了解植物生态具有极大的重要性。遥感技术使得测量植物的反射能够对环境梯度的基本特性作出推论。虽然人们非常重视了解叶层的反射和特性是如何相关的,但围绕环境梯度对这种关系的依赖性进行建模的挑战限制了这一调查线。在这里,我们处理联合建模特征和反射环境的问题。我们的目标是不仅评估对环境反射器的反应,而且评估在这种倒退情况下特性水平和反射频谱之间的依赖性。这导致联合建模对特征的响应矢量进行反应,反映是波长谱的功能反应。为了进行这一调查,我们使用了来自全球生物多样性热点的数据集,即南非大开普佛罗迪斯地区。