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Mapping the Delivery of Ecological Functions Combining Field Collected Data and Unmanned Aerial Vehicles (UAVs)
Ecosystems ( IF 3.7 ) Pub Date : 2021-09-07 , DOI: 10.1007/s10021-021-00694-w
Stefano Schenone 1 , Simon F. Thrush 1 , Mihailo Azhar 2 , Patrice Delmas 2 , César Adrián Victoria Ramírez 3 , Alfonso Gastelum Strozzi 3
Affiliation  

Mapping ecosystem functions and services has gained considerable importance, particularly for its applications in ecosystem management and conservation. While practices for terrestrial ecosystems are well established and mainly rely on land cover, marine ecosystems face challenges that hinder our ability to quantify and understand the distribution of ecosystem services. In particular, soft-sediment marine habitats are complex and heterogeneous but data on the distribution of communities and habitats in these systems in scarce. Mapping relies primarily on the sampling of abiotic variables and physical attributes, easier to obtain at broad scale, and therefore underestimates the role of the underlying biodiversity. In our study, we develop a mapping procedure that can handle situations where only a limited amount of data can be collected. We combined field measurements of species abundance and benthic fluxes to create models and then used data from a drone survey of the distribution of selected sediment microtopographic features linked to specific species to extrapolate these measures. This method quantifies ecosystem functions at broad spatial scales and with high resolution leading to the creation of ecologically nuanced maps that target the underlying mechanisms of ecosystem functioning, necessary to close the mismatch between physical and biological methods and accurately assess ecosystem services.



中文翻译:

结合现场收集的数据和无人驾驶飞行器 (UAV) 绘制生态功能的交付图

绘制生态系统功能和服务图已变得相当重要,特别是在生态系统管理和保护中的应用。虽然陆地生态系统的做法已经确立并且主要依赖于土地覆盖,但海洋生态系统面临的挑战阻碍了我们量化和理解生态系统服务分布的能力。特别是,软沉积物海洋栖息地复杂多样,但关于这些系统中群落和栖息地分布的数据很少。制图主要依赖于非生物变量和物理属性的抽样,更容易在大范围内获得,因此低估了潜在生物多样性的作用。在我们的研究中,我们开发了一个映射程序,可以处理只能收集有限数量数据的情况。我们结合了物种丰度和底栖通量的实地测量来创建模型,然后使用无人机调查与特定物种相关的选定沉积物微地形特征分布的数据来推断这些测量。这种方法在广泛的空间尺度上以高分辨率量化生态系统功能,从而创建针对生态系统功能的潜在机制的生态细致地图,这对于消除物理方法和生物方法之间的不匹配并准确评估生态系统服务是必要的。

更新日期:2021-09-08
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