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A rapid soundscape analysis to quantify conservation benefits of temperate agroforestry systems using low-cost technology

机译:快速声景分析,使用低成本技术量化温带农林业系统的保护效益

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Quantifying the impacts of agroforestry systems (AFS) on habitat conservation remains a challenge due to difficulties in accounting for differences in scales, AFS configurations, and inadequate measures of species dynamics within practical time frames. The field of soundscape ecology offers new perspectives and tools to efficiently collect information on species richness and has a potential to be used as a holistic measure for indicating changes in habitat conditions. The objective of this investigation was to conduct a rapid soundscape assessment using low-cost technology and evaluate the efficacy of using sounds as an indicator for monitoring and assessing species richness within AFS. A series of low-cost recorders were placed within two AFS (pecan alley crop and silvopasture) and two control habitats (natural forest and soybean monoculture). The acoustic complexity index (ACI) was used as the metric to quantify the sonic environment. Results indicated a weak, but significant relationship (R-2 = 0.30) between the ACI and overall structural complexity, measured using median heights, across different land-use systems. There was a stronger relationship (R-2 = 0.53) between the ACI metric and soundscape composition, which was defined by overall species richness. This study demonstrated the usefulness of conducting a rapid, low-cost soundscape analysis that quantified the effects of different land-use systems on species richness. This research also helped provide evidence of the significance of AFS as an integrative land-use system with beneficial characteristics that have potential to promote both production and ecological conservation.
机译:由于难以解释规模差异,AFS配置以及在实际时间框架内对物种动态的度量不足,因此量化农林业系统(AFS)对栖息地保护的影响仍然是一个挑战。声景生态学领域提供了新的观点和工具,可以有效地收集有关物种丰富度的信息,并且有可能被用作指示生境条件变化的整体措施。这项调查的目的是使用低成本技术进行快速的声景评估,并评估使用声音作为监测和评估AFS内物种丰富度的指标的功效。一系列低成本的记录器被放置在两个AFS(山核桃胡同和林牧区)和两个控制栖息地(天然林和大豆单一栽培)中。声学复杂度指数(ACI)被用作量化声音环境的指标。结果表明,在不同土地利用系统中,使用中间高度测量的ACI与总体结构复杂度之间的关系微弱但显着(R-2 = 0.30)。 ACI度量与音景成分之间存在更强的关系(R-2 = 0.53),这由总体物种丰富度定义。这项研究证明了进行快速,低成本的音景分析的有用性,该分析量化了不同土地利用系统对物种丰富度的影响。这项研究还提供了证据,证明了AFS作为具有有益特性的潜在土地综合利用系统,具有促进生产和生态保护的潜力。

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