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a2026-06-25
en Road impact assessment on the soundscape of a Costa Rican rainforest using dominant frequencies. -
Modificado el valor del campo
modified
del recurso Acceso al recurso a2026-06-25
(anteriormente2026-06-23
) en Road impact assessment on the soundscape of a Costa Rican rainforest using dominant frequencies.
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| 81 | "notes": "Soundscape evaluation through automated methods is an easy | 95 | "notes": "Soundscape evaluation through automated methods is an easy | ||
| 82 | technique, which provides useful information about the characteristics | 96 | technique, which provides useful information about the characteristics | ||
| 83 | of the surrounding landscape and biodiversity. Among others, | 97 | of the surrounding landscape and biodiversity. Among others, | ||
| 84 | soundscape includes the sound of birds, amphibians, mammals, and wind. | 98 | soundscape includes the sound of birds, amphibians, mammals, and wind. | ||
| 85 | These sounds are widely classified as biological, anthropogenic, or | 99 | These sounds are widely classified as biological, anthropogenic, or | ||
| 86 | geophysical. In this research, we wanted to evaluate the effect of | 100 | geophysical. In this research, we wanted to evaluate the effect of | ||
| 87 | roads on the soundscape in tropical forests. We researched in Braulio | 101 | roads on the soundscape in tropical forests. We researched in Braulio | ||
| 88 | Carrillo National Park, Costa Rica, where the soundscape was evaluated | 102 | Carrillo National Park, Costa Rica, where the soundscape was evaluated | ||
| 89 | across the spectrum of dominant frequencies (1-11 kHz). Twelve | 103 | across the spectrum of dominant frequencies (1-11 kHz). Twelve | ||
| 90 | recorders (Song Meter SM2, Wildlife Acoustics Inc.) were placed at | 104 | recorders (Song Meter SM2, Wildlife Acoustics Inc.) were placed at | ||
| 91 | three distances from the Ruta 32 road. These distances were 50 meters, | 105 | three distances from the Ruta 32 road. These distances were 50 meters, | ||
| 92 | 800 meters, and in the interior of the rainforest entirely out of the | 106 | 800 meters, and in the interior of the rainforest entirely out of the | ||
| 93 | road effect. In each distance, recorders were placed 200 meters from | 107 | road effect. In each distance, recorders were placed 200 meters from | ||
| 94 | each other. The sound was evaluated in intervals of 1-kHz, which are | 108 | each other. The sound was evaluated in intervals of 1-kHz, which are | ||
| 95 | readily interpretable. For example, geophony occurs between 1-2 kHz | 109 | readily interpretable. For example, geophony occurs between 1-2 kHz | ||
| 96 | and most biophony between 2-8 kHz. It is challenging to extract | 110 | and most biophony between 2-8 kHz. It is challenging to extract | ||
| 97 | meaningful information from these large datasets. We used acoustic | 111 | meaningful information from these large datasets. We used acoustic | ||
| 98 | indices to describe the behaviour of the soundscape such as the | 112 | indices to describe the behaviour of the soundscape such as the | ||
| 99 | acoustic complexity index (ACI), and the normalised difference | 113 | acoustic complexity index (ACI), and the normalised difference | ||
| 100 | soundscape index (NDSI). The importance of continuing to use this type | 114 | soundscape index (NDSI). The importance of continuing to use this type | ||
| 101 | of measurements is discussed because it seems to be possible to | 115 | of measurements is discussed because it seems to be possible to | ||
| 102 | establish patterns of bioacoustic activity (e. g., temporal and | 116 | establish patterns of bioacoustic activity (e. g., temporal and | ||
| 103 | spectral entropies). We also discussed the importance of continuing to | 117 | spectral entropies). We also discussed the importance of continuing to | ||
| 104 | monitor sound activity to evaluate the impact of roads on bioacoustic | 118 | monitor sound activity to evaluate the impact of roads on bioacoustic | ||
| 105 | activity in tropical forests.", | 119 | activity in tropical forests.", | ||
| 106 | "notes_translated": { | 120 | "notes_translated": { | ||
| 107 | "en": "Soundscape evaluation through automated methods is an easy | 121 | "en": "Soundscape evaluation through automated methods is an easy | ||
| 108 | technique, which provides useful information about the characteristics | 122 | technique, which provides useful information about the characteristics | ||
| 109 | of the surrounding landscape and biodiversity. Among others, | 123 | of the surrounding landscape and biodiversity. Among others, | ||
| 110 | soundscape includes the sound of birds, amphibians, mammals, and wind. | 124 | soundscape includes the sound of birds, amphibians, mammals, and wind. | ||
| 111 | These sounds are widely classified as biological, anthropogenic, or | 125 | These sounds are widely classified as biological, anthropogenic, or | ||
| 112 | geophysical. In this research, we wanted to evaluate the effect of | 126 | geophysical. In this research, we wanted to evaluate the effect of | ||
| 113 | roads on the soundscape in tropical forests. We researched in Braulio | 127 | roads on the soundscape in tropical forests. We researched in Braulio | ||
| 114 | Carrillo National Park, Costa Rica, where the soundscape was evaluated | 128 | Carrillo National Park, Costa Rica, where the soundscape was evaluated | ||
| 115 | across the spectrum of dominant frequencies (1-11 kHz). Twelve | 129 | across the spectrum of dominant frequencies (1-11 kHz). Twelve | ||
| 116 | recorders (Song Meter SM2, Wildlife Acoustics Inc.) were placed at | 130 | recorders (Song Meter SM2, Wildlife Acoustics Inc.) were placed at | ||
| 117 | three distances from the Ruta 32 road. These distances were 50 meters, | 131 | three distances from the Ruta 32 road. These distances were 50 meters, | ||
| 118 | 800 meters, and in the interior of the rainforest entirely out of the | 132 | 800 meters, and in the interior of the rainforest entirely out of the | ||
| 119 | road effect. In each distance, recorders were placed 200 meters from | 133 | road effect. In each distance, recorders were placed 200 meters from | ||
| 120 | each other. The sound was evaluated in intervals of 1-kHz, which are | 134 | each other. The sound was evaluated in intervals of 1-kHz, which are | ||
| 121 | readily interpretable. For example, geophony occurs between 1-2 kHz | 135 | readily interpretable. For example, geophony occurs between 1-2 kHz | ||
| 122 | and most biophony between 2-8 kHz. It is challenging to extract | 136 | and most biophony between 2-8 kHz. It is challenging to extract | ||
| 123 | meaningful information from these large datasets. We used acoustic | 137 | meaningful information from these large datasets. We used acoustic | ||
| 124 | indices to describe the behaviour of the soundscape such as the | 138 | indices to describe the behaviour of the soundscape such as the | ||
| 125 | acoustic complexity index (ACI), and the normalised difference | 139 | acoustic complexity index (ACI), and the normalised difference | ||
| 126 | soundscape index (NDSI). The importance of continuing to use this type | 140 | soundscape index (NDSI). The importance of continuing to use this type | ||
| 127 | of measurements is discussed because it seems to be possible to | 141 | of measurements is discussed because it seems to be possible to | ||
| 128 | establish patterns of bioacoustic activity (e. g., temporal and | 142 | establish patterns of bioacoustic activity (e. g., temporal and | ||
| 129 | spectral entropies). We also discussed the importance of continuing to | 143 | spectral entropies). We also discussed the importance of continuing to | ||
| 130 | monitor sound activity to evaluate the impact of roads on bioacoustic | 144 | monitor sound activity to evaluate the impact of roads on bioacoustic | ||
| 131 | activity in tropical forests.", | 145 | activity in tropical forests.", | ||
| 132 | "es": "Soundscape evaluation through automated methods is an easy | 146 | "es": "Soundscape evaluation through automated methods is an easy | ||
| 133 | technique, which provides useful information about the characteristics | 147 | technique, which provides useful information about the characteristics | ||
| 134 | of the surrounding landscape and biodiversity. Among others, | 148 | of the surrounding landscape and biodiversity. Among others, | ||
| 135 | soundscape includes the sound of birds, amphibians, mammals, and wind. | 149 | soundscape includes the sound of birds, amphibians, mammals, and wind. | ||
| 136 | These sounds are widely classified as biological, anthropogenic, or | 150 | These sounds are widely classified as biological, anthropogenic, or | ||
| 137 | geophysical. In this research, we wanted to evaluate the effect of | 151 | geophysical. In this research, we wanted to evaluate the effect of | ||
| 138 | roads on the soundscape in tropical forests. We researched in Braulio | 152 | roads on the soundscape in tropical forests. We researched in Braulio | ||
| 139 | Carrillo National Park, Costa Rica, where the soundscape was evaluated | 153 | Carrillo National Park, Costa Rica, where the soundscape was evaluated | ||
| 140 | across the spectrum of dominant frequencies (1-11 kHz). Twelve | 154 | across the spectrum of dominant frequencies (1-11 kHz). Twelve | ||
| 141 | recorders (Song Meter SM2, Wildlife Acoustics Inc.) were placed at | 155 | recorders (Song Meter SM2, Wildlife Acoustics Inc.) were placed at | ||
| 142 | three distances from the Ruta 32 road. These distances were 50 meters, | 156 | three distances from the Ruta 32 road. These distances were 50 meters, | ||
| 143 | 800 meters, and in the interior of the rainforest entirely out of the | 157 | 800 meters, and in the interior of the rainforest entirely out of the | ||
| 144 | road effect. In each distance, recorders were placed 200 meters from | 158 | road effect. In each distance, recorders were placed 200 meters from | ||
| 145 | each other. The sound was evaluated in intervals of 1-kHz, which are | 159 | each other. The sound was evaluated in intervals of 1-kHz, which are | ||
| 146 | readily interpretable. For example, geophony occurs between 1-2 kHz | 160 | readily interpretable. For example, geophony occurs between 1-2 kHz | ||
| 147 | and most biophony between 2-8 kHz. It is challenging to extract | 161 | and most biophony between 2-8 kHz. It is challenging to extract | ||
| 148 | meaningful information from these large datasets. We used acoustic | 162 | meaningful information from these large datasets. We used acoustic | ||
| 149 | indices to describe the behaviour of the soundscape such as the | 163 | indices to describe the behaviour of the soundscape such as the | ||
| 150 | acoustic complexity index (ACI), and the normalised difference | 164 | acoustic complexity index (ACI), and the normalised difference | ||
| 151 | soundscape index (NDSI). The importance of continuing to use this type | 165 | soundscape index (NDSI). The importance of continuing to use this type | ||
| 152 | of measurements is discussed because it seems to be possible to | 166 | of measurements is discussed because it seems to be possible to | ||
| 153 | establish patterns of bioacoustic activity (e. g., temporal and | 167 | establish patterns of bioacoustic activity (e. g., temporal and | ||
| 154 | spectral entropies). We also discussed the importance of continuing to | 168 | spectral entropies). We also discussed the importance of continuing to | ||
| 155 | monitor sound activity to evaluate the impact of roads on bioacoustic | 169 | monitor sound activity to evaluate the impact of roads on bioacoustic | ||
| 156 | activity in tropical forests." | 170 | activity in tropical forests." | ||
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