用于河岸缓冲带草本群落快速评估的数字摄影协议

Laurianne Bonin, R. Proulx, G. Rheault
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引用次数: 2

摘要

近景数码摄影是一种很有前途的监测植物群落的工具,但该技术尚未用于指示农业生态系统中河岸植被缓冲带的组成和功能特征的变化。我们测试了一个摄影方案,使用图像指数来监测28个草本群落在整个生长季节的组成(物种多样性)和功能特征(株高、开花和叶片性状)的差异。具体来说,我们使用已知的植被属性来预测图像的纹理和几何图案。结果表明,随着株高、叶片多酚含量和物种多样性的增加,图像纹理降低。在高的、开花的、功能多样化的、主要由植物组成的组合中,近距离数字图像的纹理值通常较低。以禾草或莎草为主的物种组合呈现出更随机的几何图案和更高的纹理值。该摄影协议的进一步测试将必须探索其他图像指数,并将其应用扩展到其他生态系统。
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A digital photography protocol for the rapid assessment of herbaceous communities in riparian buffers
Abstract Close-range digital photography is a promising tool for monitoring plant communities, yet this technology has not been used to indicate changes to the compositional and functional characteristics of riparian vegetation buffers in agro-ecosystems. We tested a photographic protocol using image indices to monitor differences in the compositional (species diversity) and functional characteristics (plant height, flowering and leaf traits) of 28 herbaceous communities repeatedly surveyed over an entire growing season. Specifically, we used known vegetation properties to predict image texture and geometric patterns. Our results revealed that image texture decreased with increasing plant height, leaf polyphenol content and species diversity. Low texture values in close-range digital images were typically found in tall, flowering, and functionally diversified assemblages consisting mostly of forbs species. In contrast, species assemblages dominated by grasses or sedges presented more random geometric patterns and images with higher texture values. Further tests of this photographic protocol will have to explore other image indices and extend its application to other ecosystems.
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