Freshwater systems are globally threatened and in need of enhanced monitoring and assessment. We applied soundscape recording and analysis—which presents an opportunity for long‐term, high‐resolution animal community monitoring and assessment—to a freshwater context to better understand the acoustic diversity and dynamics of these systems.
We recorded the aquatic soundscape of a Neotropical freshwater swamp in Costa Rica for 23 days in January and February 2015 during the dry season. We classified biological sound types in these recordings and developed measurements of richness and occupancy based on this classification. We also calculated six complementary acoustic indices to assess soundscape diversity and daily and longer‐term soundscape dynamics, and we examined correlations between these acoustic indices and sound type metrics.
We found rich soundscapes in which biological sounds were almost always present, and we classified 18 sound types that we attribute to aquatic insects. These sound types showed distinct daily patterns and exhibited temporal and spectral acoustic niche partitioning. Sound type richness was most correlated with the number of peaks index (correlation = .36; p < .001), while sound type occupancy was most correlated with the Bioacoustic Index (correlation = .92; p < .001). In contrast to generally high levels of acoustic activity, there were brief (approximately 1 hr), unexpected quiet periods around dawn and dusk.
This study represents an early attempt to comprehensively describe tropical freshwater soundscapes in a systematic and quantitative manner. We demonstrate that sound type classification and the quantification of acoustic occupancy capture aspects of soundscape diversity and dynamics that are complementary to those assessed by acoustic indices. Our analyses reveal that the soundscapes of this tropical wetland were diverse and exhibited daily dynamics that differed from those found in other ecosystems.
Urban change (urbanization) has dominated land change science for several
decades. However, few studies have focused on what many scholars call the urban
densification process (i.e., urban intensity expansion) despite its importance
to both planning and subsequent impacts to the environment and local economies.
This paper documents past urban densification patterns and uses this information
to predict future densification trends in southeastern Wisconsin (SEWI) by using
a rich dataset from the United States and by adapting the well-known Land
Transformation Model (LTM) for this purpose. Urban densification is a
significant and progressive process that often accompanies urbanization more
generally. The increasing proportion of lower density areas, rather than higher
density areas, was the main characteristic of the urban densification in SEWI
from 2001 to 2011. We believe that improving urban land use efficiency to
maintain rational densification are effective means toward a sustainable urban
landscape. Multiple goodness-of-fit metrics demonstrated that the reconfigured
LTM performed relatively well to simulate urban densification patterns in 2006
and 2011, enabling us to forecast densification to 2016 and 2021. The predicted
future urban densification patterns are likely to be characterized by higher
densities continue to increase at the expense of lower densities. We argue that
detailed categories of urban density and specific relevant predictor variables
are indispensable for densification prediction. Our study provides researchers
working in land change science with important insights into urban densification
process modeling. The outcome of this model can help planners to identify the
current trajectory of urban development, enabling them to take informed action
to promote planning objectives, which could benefit sustainable urbanization
definitely.
In the 1940s, Aldo Leopold took extensive notes on birds and their sounds near his iconic shack in Baraboo, Wisconsin, USA. His observations, along with his land management techniques, helped frame his seminal book, A Sand County Almanac. After his death, two interstate highways were built near his property and subjected this historically significant area to traffic noise. While highways currently represent vital transportation corridors, their observed and potential impacts on biodiversity and ecosystem services are cause for concern. As the area including Leopold's shack is now an Important Bird Area, we sought to evaluate the impact of these highways on the bird community and its related acoustic diversity. In 2011, 150 avian point counts were conducted in the three main habitats composing the landscape-upland deciduous forest, floodplain forest, and herbaceous wetland. In 2012, soundscape recordings were collected in seven floodplain forest sites using automated passive acoustic recorders. We described the local bird communities and measured their acoustic diversity. Linear models accounting for additional factors including land cover and vegetation structure characteristics showed that as the distance from highways increased, bird community descriptors (overall abundance and species richness) and acoustic diversity increased (when relationships were significant). On the species level, forest interior specialists were negatively affected by the presence of the highways, contrary to edge specialists. In addition to the direct effects of the edges produced by the highway structure, this difference might be due to the masking effect of traffic noise on interior specialists' low-frequency vocalizations and their reliance on acoustic, as opposed to visual, communication. We conclude that while habitat structure is a principle driver of bird diversity on a broader scale, highway-induced changes in both habitat structure and soundscapes may affect bird communities.
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