The ecoacoustics approach for environmental recordings analysis is used to understand and identify big ecological patterns related to different sound sources, like animals, humans and the environment itself. Sounds can vary according to several features that can be on its surroundings or far away, therefore they are very much reliant on scale. Because humans are changing the environment so much and we cannot account for all those changes in the same speed as they happen, we need fast evaluation tools, such as remote sensing and acoustic monitoring (considered the equivalent of spatial remote sensing for sounds). Considering that the scale of effect was never measured for soundscapes before, we aimed to see in what scale different acoustic indices were responsive. Also, we tested how acoustic indices are influenced by natural vegetation cover. We recorded environmental sounds in Atlantic Forest fragments during three months on the rainy season. Then we calculated different acoustic indices and the percentage of natural vegetation cover in different scales. Our results corroborated our initial hypotheses: different indices respond to different scales and their medians varied according to the amount of vegetation cover on the surroundings. More studies are needed with less fragmented areas, to test indices behaviour in a continuum, but we consider this work an important starting point to understand acoustic indices behaviour in tropical areas, especially in such degraded and threatened area as Atlantic Forest.

用于环境记录分析的生态声学方法用于理解和识别与不同声源（例如动物，人类和环境本身）相关的大型生态模式。声音可能会因周围或远处的某些特征而异，因此它们在很大程度上取决于规模。由于人类正在改变环境，因此我们无法以相同的速度解释所有这些变化，因此我们需要快速的评估工具，例如遥感和声学监测（相当于声音的空间遥感）。考虑到以前从未测量过音景的效果范围，因此我们旨在了解不同的声学指标在什么范围内有响应。此外，我们测试了自然植被覆盖如何影响声学指标。在雨季的三个月中，我们在大西洋森林碎片中录制了环境声音。然后，我们计算了不同尺度下的不同声学指数和天然植被覆盖率。我们的结果证实了我们最初的假设：不同的指数对不同的尺度做出响应，其中位数根据周围植被的覆盖量而变化。需要进行更多研究，以减少零散区域的连续性，以测试指标的行为，但是我们认为这项工作是了解热带地区，尤其是在退化和受威胁地区如大西洋森林中的声学指标行为的重要起点。然后，我们计算了不同尺度下的不同声学指数和天然植被覆盖率。我们的结果证实了我们最初的假设：不同的指数对不同的尺度做出响应，其中位数根据周围植被的覆盖量而变化。需要进行更多研究，以减少零散区域的连续性，以测试指标的行为，但是我们认为这项工作是了解热带地区，尤其是在退化和受威胁地区如大西洋森林中的声学指标行为的重要起点。然后，我们计算了不同尺度下的不同声学指数和天然植被覆盖率。我们的结果证实了我们最初的假设：不同的指数对不同的尺度做出响应，其中位数根据周围植被的覆盖量而变化。需要进行更多研究，以减少零散区域的连续性，以测试指标的行为，但是我们认为这项工作是了解热带地区，尤其是在退化和受威胁地区如大西洋森林中的声学指标行为的重要起点。