Horizon 1 1 17 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES Landscape Ecology 1399-1415 Soundscape Disturbance Wildfire Conservation biology Remote sensing Sonic timelapse ETATS UNIS ARIZONA 2018 fdi:010073674 ENG Landscape Ecology 0921-2973 ISI:000439347700012 8 10.1007/s10980-018-0675-3 https://www.documentation.ird.fr/hor/fdi:010073674 https://www.documentation.ird.fr/intranet/publi/2018/08/010073674.pdf 33 Horizon (IRD) While remote sensing imagery is effective for quantifying land cover changes across large areas, its utility for directly assessing the response of animals to disturbance is limited. Soundscapes approaches-the recording and analysis of sounds in a landscape-could address this shortcoming. In 2011, a massive wildfire named "the Horseshoe 2 Burn" occurred in the Chiricahua National Monument, Arizona, USA. We evaluated the impact of this wildfire on acoustic activity of animal communities. In 2013, soundscape recordings were collected over 9 months in 12 burned and 12 non-burned sites in four ecological systems. The seasonal and diel biological acoustic activity were described using the "Bioacoustic Index", a detailed aural analysis of sound sources, and a new tool called "Sonic Timelapse Builder" (STLB). Seasonal biophony phenology showed a diurnal peak in June and a nocturnal peak in October in all ecological systems. On June mornings, acoustic activity was lower at burned than at non-burned sites in three of four ecological systems, due to a decreased abundance of cicadas directly impacted by the death of trees. Aural analyses revealed that 55% of recordings from non-burned sites contained insect sounds compared to 18% from burned sites. On October nights, orthopteran activity was more prevalent at some burned sites, possibly due to post-fire emergence of herbaceous. Soundscape approaches can help address long-term conservation issues involving the responses of animal communities to wildfire. Acoustic methods can serve as a valuable complement to remote sensing for disturbance-based landscape management. 082 ; 126 UR237