Detectability of Non-passerines Using "Pishing" in Eastern Ontario Woodlands

During spring and summer 1997, non-passerines were surveyed in three woodlots near Arnprior, Ontario, using standard point counts, and standard point counts combined with “pishing” (pishing involves the observer saying the words “pish pish pish pish” in a continuous series of short bursts). Of the 27 non-passerine species detected, 22 were recorded on more days using pishing as opposed to the standard point count method. However, only three of these species were recorded on significantly more days using pishing. Several woodpecker species approached more closely during point counts with pishing, which facilitated identification. In contrast, raptors and some other non-passerines that may have otherwise gone unnoticed were identified as they fled from the pishing sound. Hence, when the overall goal of research is to detect species richness or to gather presence and absence data in woodlands, point counts combined with pishing may increase detectability of some non-passerines

Bat Mortality at Ontario Wind Farms Quantified and Compared Using Four Candidate Estimator Equations

Wind farm development is expanding globally. While wind energy is a low-cost option for new electricity supply, the impacts to wildlife populations, including bats (Chiroptera), are of ecological concern. To quantify these impacts, scientists have developed estimator equations to estimate bat mortality, which vary in assumptions related to correction factors. We compared the results of 4 estimators applied to post-construction monitoring data from Ontario, Canada, wind farms to evaluate the effects of field methods and correction factors on estimator consistency. To conduct our study, we obtained data from 21 wind farms between 2011 and 2017 for a total of 26 wind farm survey years, because some wind farms supplied fatality monitoring data in \u3e1 year, to estimate mortality. The Ontario Ministry of Natural Resources and Forestry estimator (OMNRF) tended to be highest, while the Huso, Schoenfeld-Erickson, and GenEst estimators produced similar results. Huso and Schoenfeld-Erickson estimates tended to fall within 95% confidence intervals for GenEst, while OMNRF estimates tended to be higher than the upper confidence interval for GenEst. The results from the OMNRF estimator were consistent with the other candidates when carcass persistence times were \u3e6.5 days but inconsistent when carcass persistence times were shorter. Our results demonstrated the degree to which mortality estimates can vary among estimators and highlight the need for a consistent estimator in comparative studies. We recommend GenEst for such studies, as this estimator can incorporate more inputs with flexibility to reflect site-specific field conditions and produces highly consistent results. Conversely, the OMNRF estimator produced consistently higher estimates than the other candidate estimators, and assumptions related to carcass persistence were regularly violated. We recommend that these limitations be acknowledged when interpreting results from this estimator and that its use be reconsidered when assumptions related to carcass persistence are not met

Canadian Estimate of Bird Mortality Due to Collisions and Direct Habitat Loss Associated with Wind Turbine Developments

We estimated impacts on birds from the development and operation of wind turbines in Canada considering both mortality due to collisions and loss of nesting habitat. We estimated collision mortality using data from carcass searches for 43 wind farms, incorporating correction factors for scavenger removal, searcher efficiency, and carcasses that fell beyond the area searched. On average, 8.2 ± 1.4 birds (95% C.I.) were killed per turbine per year at these sites, although the numbers at individual wind farms varied from 0 - 26.9 birds per turbine per year. Based on 2955 installed turbines (the number installed in Canada by December 2011), an estimated 23,300 birds (95% C.I. 20,000 - 28,300) would be killed from collisions with turbines each year. We estimated direct habitat loss based on data from 32 wind farms in Canada. On average, total habitat loss per turbine was 1.23 ha, which corresponds to an estimated total habitat loss due to wind farms nationwide of 3635 ha. Based on published estimates of nest density, this could represent habitat for ~5700 nests of all species. Assuming nearby habitats are saturated, and 2 adults displaced per nest site, effects of direct habitat loss are less than that of direct mortality. Installed wind capacity is growing rapidly, and is predicted to increase more than 10-fold over the next 10-15 years, which could lead to direct mortality of approximately 233,000 birds / year, and displacement of 57,000 pairs. Despite concerns about the impacts of biased correction factors on the accuracy of mortality estimates, these values are likely much lower than those from collisions with some other anthropogenic sources such as windows, vehicles, or towers, or habitat loss due to many other forms of development. Species composition data suggest that < 0.2% of the population of any species is currently affected by mortality or displacement from wind turbine development. Therefore, population level impacts are unlikely, provided that highly sensitive or rare habitats, as well as concentration areas for species at risk, are avoided

Road avoidance and its energetic consequences for reptiles

CITATION: Paterson, J. E., et al. 2019. Road avoidance and its energetic consequences for reptiles. Ecology and Evolution, 9(17):9794-9803, doi:10.1002/ece3.5515.The original publication is available at https://onlinelibrary.wiley.comRoads are one of the most widespread human-caused habitat modifications that can increase wildlife mortality rates and alter behavior. Roads can act as barriers with variable permeability to movement and can increase distances wildlife travel to access habitats. Movement is energetically costly, and avoidance of roads could therefore impact an animal's energy budget. We tested whether reptiles avoid roads or road crossings and explored whether the energetic consequences of road avoidance decreased individual fitness. Using telemetry data from Blanding's turtles (Emydoidea blandingii; 11,658 locations of 286 turtles from 15 sites) and eastern massasaugas (Sistrurus catenatus; 1,868 locations of 49 snakes from 3 sites), we compared frequency of observed road crossings and use of road-adjacent habitat by reptiles to expected frequencies based on simulated correlated random walks. Turtles and snakes did not avoid habitats near roads, but both species avoided road crossings. Compared with simulations, turtles made fewer crossings of paved roads with low speed limits and more crossings of paved roads with high speed limits. Snakes made fewer crossings of all road types than expected based on simulated paths. Turtles traveled longer daily distances when their home range contained roads, but the predicted energetic cost was negligible: substantially less than the cost of producing one egg. Snakes with roads in their home range did not travel further per day than snakes without roads in their home range. We found that turtles and snakes avoided crossing roads, but road avoidance is unlikely to impact fitness through energetic expenditures. Therefore, mortality from vehicle strikes remains the most significant impact of roads on reptile populations.https://onlinelibrary.wiley.com/doi/full/10.1002/ece3.5515Publisher's versio

Economic Impacts of Curtailing Wind Turbine Operations for the Protection of Bat Populations in Ontario

Wind energy is a growing industry in Canada to meet the demand for a renewable supply of energy. However, wind turbine operation represents a high mortality risk for bat populations, and regulators often require that steps are taken to mitigate this risk. The result is concern among operators about lost revenue potential. This study was, therefore, designed to estimate the theoretical financial impact of curtailing turbine operations to mitigate for bat mortality for all wind farms that were constructed and operating in Ontario, Canada, as of 1 January 2020 (n = 87 wind farms). Empirical data from the Canadian Wind Farm SCADA and meteorological systems are not publicly available; thus, we were compelled to use data from the Canadian Wind Turbine database, the Environment and Climate Change Canada Wind Atlas, and the Independent Electricity System Operator to calculate the total theoretical energy production for all wind turbines in the province using manufacturer power curves and a measure–correlate–predict linear regression method. We estimated the financial impacts for all wind farms on the assumption that operations were curtailed when the Wind Atlas modelled local wind speed was <5.5 m/s between 6 pm of one day and 6 am the following day, between 15 July and 30 September, using the lower and upper limits of power-purchase agreement rates for Ontario wind farms: 115 and 150 CAD/MWh. We used generalized linear modelling to test whether the variability in production loss was predicted based on factors related to turbine design and site wind speeds. We estimated that total annual wind energy production would be reduced from 12.09 to 12.04 TWh if all Ontario wind farms implemented operational curtailment, which is equivalent to a difference of 51.2 GWh, or 0.42%. Production loss was related to turbine cut-in speeds and average site wind speeds recorded between 15 July and 30 September. The estimated profit losses were 6.79 ± 0.9 million CAD compared to estimated earnings of 1.6 ± 0.21 billion CAD, which suggests that mitigating bat mortality may represent a small cost to the industry relative to the conservation benefits for bat populations

How well does forestry in Ontario's boreal forest emulate natural disturbances from the perspective of birds?

Emulating natural disturbance has become a paradigm for biodiversity retention in forest management. This study evaluates the extent to which harvest management practices have created stands that emulate natural fire disturbance from the perspective of bird communities in Ontario, Canada. We compared the relative abundance of forest landbirds at the stand level in mature forest (> 80 years old) with that in early-regenerating (0-20 years) and midregenerating (21-80 years) forests originating from fire or timber harvest across the boreal forest of Ontario using over 7000 point counts. Our results indicate that forest harvest management practices in Ontario have created stands that only partially emulate natural fire disturbances in terms of the bird community composition. Total bird abundance and species richness were significantly lower postharvest than postfire in midregenerating forests, although they did not differ in early-regenerating stands. Species-level comparisons revealed several differences between postharvest and postfire stands, as well as among age classes. Although no species was completely missing from any stand type, 8% of species in early- and 34% in midregenerating stands were detected significantly less often in postharvest than postfire forests. Some other species were found significantly more often in postharvest stands, while the majority of species detected (84% and 71% in early- and midregenerating stands, respectively) showed no significant difference between disturbance types. Collectively, these results suggest that widespread replacement of fire with logging as the dominant disturbance type will shift the relative abundance of species within Ontario's boreal forest bird community. Quantifying the population-level implications of these shifts requires extrapolating these stand level effects to the landscape level, while considering the actual or anticipated abundance and distribution of forest age classes across the province under different forest management regimes

Timing and Weather Offer Alternative Mitigation Strategies for Lowering Bat Mortality at Wind Energy Facilities in Ontario

Relatively high mortality of migratory bats at wind energy facilities has prompted research to understand the underlying spatial and temporal factors, with the goal of developing more effective mitigation approaches. We examined acoustic recordings of echolocation calls at 12 sites and post-construction carcass survey data collected at 10 wind energy facilities in Ontario, Canada, to quantify the degree to which timing and regional-scale weather predict bat activity and mortality. Rain and low temperatures consistently predicted low mortality and activity of big brown bats (Eptesicus fuscus) and three species of migratory tree bats: hoary bat (Lasiurus cinereus), eastern red bat (L. borealis), and silver-haired bat (Lasionycteris noctivagans). Bat activity occurred in waves with distinct peaks through the season; regardless of seasonal timing, most activities occurred in the first half of the night. We conclude that wind energy facilities could adopt a novel and more effective curtailment strategy based on weather and seasonal and nocturnal timing that would minimize mortality risks for bats while increasing the opportunities for power generation, relative to the mitigation strategy of increasing cut-in wind speed to 5.5 m/s