Senf Cornelius, Seidl Rupert, Hostert Patrick
Geography Department, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany.
Institute for Silviculture, University of Natural Resources and Life Sciences (BOKU) Vienna, Peter-Jordan-Str. 82, 1190 Vienna, Austria.
Int J Appl Earth Obs Geoinf. 2017 Aug;60:49-60. doi: 10.1016/j.jag.2017.04.004.
Insect disturbance are important agents of change in forest ecosystems around the globe, yet their spatial and temporal distribution and dynamics are not well understood. Remote sensing has gained much attention in mapping and understanding insect outbreak dynamics. Consequently, we here review the current literature on the remote sensing of insect disturbances. We suggest to group studies into three insect types: bark beetles, broadleaved defoliators, and coniferous defoliators. By so doing, we systematically compare the sensors and methods used for mapping insect disturbances within and across insect types. Results suggest that there are substantial differences between methods used for mapping bark beetles and defoliators, and between methods used for mapping broadleaved and coniferous defoliators. Following from this, we highlight approaches that are particularly suited for each insect type. Finally, we conclude by highlighting future research directions for remote sensing of insect disturbances. In particular, we suggest to: 1) Separate insect disturbances from other agents; 2) Extend the spatial and temporal domain of analysis; 3) Make use of dense time series; 4) Operationalize near-real time monitoring of insect disturbances; 5) Identify insect disturbances in the context of coupled human-natural systems; and 6) Improve reference data for assessing insect disturbances. Since the remote sensing of insect disturbances has gained much interest beyond the remote sensing community recently, the future developments identified here will help integrating remote sensing products into operational forest management. Furthermore, an improved spatiotemporal quantification of insect disturbances will support an inclusion of these processes into regional to global ecosystem models.
昆虫干扰是全球森林生态系统变化的重要因素,但其时空分布和动态仍未得到充分了解。遥感技术在绘制和理解昆虫爆发动态方面备受关注。因此,我们在此回顾当前关于昆虫干扰遥感的文献。我们建议将研究分为三类昆虫:树皮甲虫、阔叶食叶害虫和针叶食叶害虫。通过这样做,我们系统地比较了用于绘制昆虫干扰的传感器和方法,包括在昆虫类型内部和不同昆虫类型之间的比较。结果表明,用于绘制树皮甲虫和食叶害虫的方法之间,以及用于绘制阔叶和针叶食叶害虫的方法之间存在显著差异。据此,我们强调了特别适用于每种昆虫类型的方法。最后,我们通过强调昆虫干扰遥感的未来研究方向来得出结论。具体而言,我们建议:1)将昆虫干扰与其他因素区分开来;2)扩展分析的时空范围;3)利用密集时间序列;4)实现昆虫干扰的近实时监测;5)在人与自然耦合系统的背景下识别昆虫干扰;6)改进用于评估昆虫干扰的参考数据。由于昆虫干扰遥感最近在遥感领域之外也引起了广泛关注,这里确定的未来发展将有助于将遥感产品整合到森林经营管理中。此外,对昆虫干扰进行改进的时空量化将支持将这些过程纳入区域到全球生态系统模型。