@article {57908, title = {The quantitative relation between ambient soundscapes and landscape development intensity in North Central Florida}, journal = {Landscape Ecology}, year = {2019}, month = {Nov-11-2020}, abstract = {

Context

It is widely accepted that wildlife is subjected to detrimental human noise within urban landscapes but little is known about how the intensity of land use changes soundscapes.

Objectives

The objective of this research was to produce quantitative associations between characteristics of ambient soundscapes and land use intensity. These relations were used to examine the 2 kHz demarcation between anthrophony and biophony and compare the impact of different sized contributing areas on ambient soundscape characteristics.

Methods

This study related the surrounding land use intensity of 67 sites in north central Florida (USA) to several metrics describing their recorded soundscapes. Land use intensity was measured remotely at three scales using the landscape development intensity index (LDI).

Results

The analysis revealed that the LDI index had a statistically significant effect on soundscape characteristics after controlling for important factors such as climate, season, and attenuation due to hard ground. The trends between LDI and soundscape confirmed that human generated sounds are loud, continuous, and occupy low frequencies. The evenness of the sound distribution decreased with landscape intensity and LDI correlated significantly with sound below 3 kHz. Land use intensity within a 100 and 500-m radius contributing area were most closely related to soundscape metrics.

Conclusions

LDI is a tool with the potential to predict the extent and intensity of anthropogenic noise disturbance on wildlife from remote sensing data. The utility of this tool allows for widespread application to identify and mitigate conflicts in the acoustic realm between human noise and wildlife.

}, keywords = {Ambient sound, Anthrophony, biophony, Development intensity, LDI index, Noise disturbance, Power spectral density, Remote sensing, Soundscape, Technophony}, issn = {0921-2973}, doi = {10.1007/s10980-019-00936-2}, url = {http://link.springer.com/10.1007/s10980-019-00936-2}, author = {Dooley, Jenet M. and Brown, Mark T.} }