The Indirect Impacts of Wind Farms on Terrestrial Mammals: Insights from the Disturbance and Exclusion Effects on Wolves (Canis lupus)

2017 ◽  
pp. 111-134 ◽  
Author(s):  
Gonçalo Ferrão da Costa ◽  
João Paula ◽  
Francisco Petrucci-Fonseca ◽  
Francisco Álvares
Keyword(s):  
Canis Lupus ◽  
Wind Farms ◽  
Terrestrial Mammals ◽  
Indirect Impacts

Estimating the indirect impact of wind farms on breeding bird assemblages: a case study in the central Apennines

2013 ◽  
Vol 59 (3) ◽  
pp. 125-129 ◽  
Author(s):  
Corrado Battisti ◽  
Daniel Franco ◽  
Claudio Norscia ◽  
Pasquale Santone ◽  
Christiana Soccini ◽  
...  
Keyword(s):  
Wind Farm ◽  
Species Abundance ◽  
Wind Farms ◽  
Central Apennines ◽  
Breeding Bird ◽  
Point Count ◽  
Bird Assemblages ◽  
Significant Difference ◽  
Indirect Impact ◽  
Indirect Impacts

In 2011 and 2012 we carried out a monitoring study to evaluate the indirect impacts of a wind farm on the breeding bird assemblages in a high-altitude secondary prairie area of the central Apennines (Italy). We used the point count method to compare the breeding birds at species and assemblage level, using the wind farm area (36 windmills) as treatment and an equivalent habitat surface as control. We did not observe any significant difference between treatment and control areas at species level (25 species detected, seven of conservation concern at European level), in terms of species abundance frequency, and at assemblage level, in terms of species richness or assemblage structure (k-dominance plots), even if lower evenness values were detected in the control sites. Our preliminary results gave no evidence of an indirect impact of the wind farm on breeding bird assemblages, mainly composed of small passerines, in these mountain ecosystems. However, further studies should be performed to deepen the relationships between indirect impact of wind farms and site-specific characteristics.

scholarly journals Genomic approaches reveal an endemic sub-population of gray wolves in Southern China

2019 ◽  
Author(s):  
Guo-Dong Wang ◽  
Ming Zhang ◽  
Xuan Wang ◽  
Melinda A. Yang ◽  
Peng Cao ◽  
...  
Keyword(s):  
Gene Flow ◽  
Canis Lupus ◽  
Southern China ◽  
Northern China ◽  
Whole Genome Sequence ◽  
The Tibetan Plateau ◽  
Interspecific Gene Flow ◽  
Gray Wolves ◽  
Terrestrial Mammals ◽  
Endemic Population

SUMMARYDespite being one of the most widely distributed terrestrial mammals, the history of gray wolves (Canis lupus) in China is not well understood as their habitats have been destroyed with growing economic development. Using six specimens from wolf skins in Chinese Natural History museums, we sequenced their genome using a modified ancient DNA procedure. Using whole genome sequence analysis, we showed that gray wolves from Southern China (SC) derive from a single lineage, distinct from gray wolves from the Tibetan Plateau (Canis lupus chanco) and Northern China, suggesting that SC gray wolves may form a distinct sub-population. Of SC gray wolves, one wolf from Zhejiang carries a genetic component from a canid that must have diverged earlier from other wolves than jackals did, perhaps through gene flow from a population related to or further diverged from wolves than the dhole, a species distributed in Southern China and Southeast Asia. This may indicate that interspecific gene flow likely played an important role in shaping the speciation patterns and population structure in the genus Canis. Our study is the first to survey museum genomes of gray wolves from Southern China, revealing the presence of an endemic population with ancient interspecific gene flow from a population related to the dhole, and highlighting how sequencing the paleogenome from museum specimens can help us to study extinct species.

scholarly journals Survey of large and medium-sized terrestrial mammals in the Serra do Brigadeiro State Park, Minas Gerais, Brazil

Check List ◽  
2013 ◽  
Vol 9 (2) ◽  
pp. 240 ◽  
Author(s):  
André Valle Nunes ◽  
Leandro Moraes Scoss ◽  
Maressa Rocha Prado ◽  
Gisele Mendes Lessa
Keyword(s):  
Species Richness ◽  
Atlantic Forest ◽  
Canis Lupus ◽  
Minas Gerais ◽  
Camera Traps ◽  
Camera Trapping ◽  
Domestic Dogs ◽  
Canis Lupus Familiaris ◽  
Terrestrial Mammals ◽  
Monitoring Programs

The aim of this study was to survey the species of large and medium-sized terrestrial mammals occurring at Serra do Brigadeiro State Park (SBSP). Data was compiled from two studies carried out in 2008. Data was collected through sand plots and camera traps. Thirteen species were recorded, one that had not been registered before (Leopardus wiedii) and one exotic (Canis lupus familiaris). Species richness estimate for camera trapping was 13.53±1.75. For the sand plots, estimate was lower (9±1.73 species). The low number of inventories focusing on large and medium-sized terrestrial mammals in the Mantiqueira region of the Atlantic forest and the presence of the domestic dogs within the Park limits emphasizes the need for monitoring programs to identify the major threats to preserved areas in the region.

Selection of a leading edge noise prediction method for PNoise

2018 ◽  
pp. 214-223
Author(s):  
AM Faria ◽  
MM Pimenta ◽  
JY Saab Jr. ◽  
S Rodriguez
Keyword(s):  
Wind Turbine ◽  
Turbine Blades ◽  
Prediction Method ◽  
Leading Edge ◽  
Wind Farms ◽  
Broadband Noise ◽  
Turbulence Energy ◽  
Noise Prediction ◽  
Migration Routes ◽  
Turbulent Inflow

Wind energy expansion is worldwide followed by various limitations, i.e. land availability, the NIMBY (not in my backyard) attitude, interference on birds migration routes and so on. This undeniable expansion is pushing wind farms near populated areas throughout the years, where noise regulation is more stringent. That demands solutions for the wind turbine (WT) industry, in order to produce quieter WT units. Focusing in the subject of airfoil noise prediction, it can help the assessment and design of quieter wind turbine blades. Considering the airfoil noise as a composition of many sound sources, and in light of the fact that the main noise production mechanisms are the airfoil self-noise and the turbulent inflow (TI) noise, this work is concentrated on the latter. TI noise is classified as an interaction noise, produced by the turbulent inflow, incident on the airfoil leading edge (LE). Theoretical and semi-empirical methods for the TI noise prediction are already available, based on Amiet’s broadband noise theory. Analysis of many TI noise prediction methods is provided by this work in the literature review, as well as the turbulence energy spectrum modeling. This is then followed by comparison of the most reliable TI noise methodologies, qualitatively and quantitatively, with the error estimation, compared to the Ffowcs Williams-Hawkings solution for computational aeroacoustics. Basis for integration of airfoil inflow noise prediction into a wind turbine noise prediction code is the final goal of this work.

Disturbance of harbour porpoises during construction of the first seven offshore wind farms in Germany

2018 ◽  
Vol 596 ◽  
pp. 213-232 ◽  
Author(s):  
MJ Brandt ◽  
AC Dragon ◽  
A Diederichs ◽  
MA Bellmann ◽  
V Wahl ◽  
...  
Keyword(s):  
Wind Farms ◽  
Offshore Wind ◽  
Offshore Wind Farms

Evaluating Community Engagement and Benefit-Sharing Practices in Australian Wind Farm Development

2017 ◽  
Vol 1 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Nina Lansbury Hall ◽  
Jarra Hicks ◽  
Taryn Lane ◽  
Emily Wood
Keyword(s):  
Community Engagement ◽  
Community Involvement ◽  
Wind Farm ◽  
Social Acceptance ◽  
Wind Farms ◽  
Clean Energy ◽  
Benefit Sharing ◽  
Delphi Panel ◽  
Government Organizations

The wind industry is positioned to contribute significantly to a clean energy future, yet the level of community opposition has at times led to unviable projects. Social acceptance is crucial and can be improved in part through better practice community engagement and benefit-sharing. This case study provides a “snapshot” of current community engagement and benefit-sharing practices for Australian wind farms, with a particular emphasis on practices found to be enhancing positive social outcomes in communities. Five methods were used to gather views on effective engagement and benefit-sharing: a literature review, interviews and a survey of the wind industry, a Delphi panel, and a review of community engagement plans. The overarching finding was that each community engagement and benefit-sharing initiative should be tailored to a community’s context, needs and expectations as informed by community involvement. This requires moving away from a “one size fits all” approach. This case study is relevant to wind developers, energy regulators, local communities and renewable energy-focused non-government organizations. It is applicable beyond Australia to all contexts where wind farm development has encountered conflicted societal acceptance responses.

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