available locations at four spatial scales for each of three guilds;
This part is kind of unclear; the article does not clearly define what it considers to be "available locations" - I hope to clarify this with context clues.
available locations at four spatial scales for each of three guilds;
This part is kind of unclear; the article does not clearly define what it considers to be "available locations" - I hope to clarify this with context clues.
priority for species conservation
I've personally seen roadkill before, and know what a sad reality it is that an animal was killed for nothing more than coexisting with manmade structures. I've also seen the railways in both Banff and Yoho National part personally, and they are very embedded within the forest and in high-traffic animal areas
generally quicker and less expensive
This reminds me of previous dilemmas of wildlife investment I've learned about in other classes - usually, we try and find data that justifies the cheap option to make it a more feasible endeavor.
reduce the viability of threatened populations
Important; purpose of why this is needed. I agree with why this is needed and think this cause is important.
failed detection of approaching trains
Author explanation
Seasons of mortality risk were significantly higher for ungulates in mid to late winter, but were less pronounced for bears (slightly higher in late spring and early summer), and other carnivores (no strong seasonal effects). Wildlife mortality occurred more often during the day than night.
Important observation
Temporal patterns of mortality differed among species (Figs. 3 and 4). Seasonally, ungulate mortality increased in winter (YearDaycosine = 0.583, SE = 0.063, z-value = 9.3) and spring
Also, seasonal mortality rates differ.
At the spatial scale of the study area, ungulates and bears had higher mortality where topographical complexity was lower, but topographical complexity increased mortality risk for carnivores at all scales. All guilds exhibited a tendency for greater mortality near roads, but this parameter occurred across spatial scales only for bears. An interaction suggested that the combined effects of train speed and proximity to water was most pronounced for other carnivores (Fig. 2). The logistic regression models with random points distributed along the railway throughout the study area did a moderate to poor job at differentiating mortality sites from random locations. Area under the ROC curve (AUC) was slightly higher for ungulates (AUC = 0.735) compared to bears (AUC = 0.634) and other carnivores (AUC = 0.683).
The authors observed that some less correlated factors across guilds affected some more than others, such as topography, sidings, and shrub cover.
Mortality increased with percent of shrub cover
Less consistency among guilds, but SHRUBS
sidings, whereas risk for other carnivores increased with distance to sidings.
Less consistency among guilds, but SIDING
best predictor of mortality sites was maximum train speed, followed by proximity to water, amount of water within 90 m, and track curvature
RESULT (Trend); some variability in actual guild results in how much the factor influenced mortality.
BIC
Strategies of analysis; BIC, logistic regression, etc.
We expected that that mortality risk would increase in seasons when deep snows, high water levels, and new precipitation made the railway more attractive for travel (winter) and when spilled grain and early emergent rail-side vegetation had higher nutritional quality and availability compared to broader food availability (winter and early spring) (daily precipitation; Table 2).
I guess part of hypothesis, or at least their prediciton
Bayesian information criterion
Models selection amongst potential models - from google search.
We hypothesized that the ability of an animal to perceive an approaching train would reduce strike risk such that mortality rates would increase with increasing track curvature, change in elevation, posted train speed, and canopy cover. We also hypothesized that features that channel animal movement onto the railway would increase risk of collisions, predicting mortality rates would increase with topographic complexity, the amount or proximity of water, proximity of roads, and canopy closure. We hypothesized that high forage quality in the vicinity of the railway would increase animal attraction, and hence the risk of strikes, predicting positive correlations with proximity to railway sidings (where trains travel slowly such that leaking grain accumulates39) and with higher shrub cover, which provides berry-producing forage for bears and browse for ungulates. Finally, we hypothesized that strikes would increase where animals spent more time because they had high security from people in the busy valley bottoms of these protected areas, predicting that mortality would increase with distance to roads, shrub density, and canopy cover.
Clear hypothesis
logistic regression models
Binary outcome - dead or alive, in relation to location.
We included data from the following species for analysis: grizzly bears, black bears (Ursus americanus), wolves (Canis lupus), coyotes (Canis latrans), cougar (Puma concolor), lynx (Lynx canadensis), moose (Alces alces), elk (Cervus canadensis), white-tailed deer (Odocoileus virginianus), mule deer (O. hemionus), unspecified deer, and bighorn sheep (Ovis canadensis) (Table 1).
These can be discussed in summary as the three broad category grouping
unit of replication
So it didn't matter if, say 2 deer were killed in the same spot at the same time. Death = mortality event, and all that they considered.
Elevational declines occur in both directions from the continental divide that separates Banff and Yoho National Parks and these lower elevation areas contain higher densities of many species, especially ungulates in the east end of Banff
LOCATION; Part of environmental challenge
Banff and Yoho National Parks
LOCATION; relevant for summary
We expected that mortality risk would increase in (a) places where animals had difficulty perceiving trains, (b) where their movement paths were constrained by adjacent topography or water, (c) where forage opportunities increased, or (d) where the railway provided security from encounters with people
PREDICTION
The objectives of this paper were to (a) identify the landscape factors and seasons that increase train-caused mortality for large mammals and (b) determine the similarity of these explanatory variables among guilds as a means to assess and prioritize the broader conservation value of potential mitigations.
THESIS
wo factors limit the viability of expensive fencing and crossing structures in this context.
Why extensive can be flawed in railway application
most cost-effective and ecologically beneficial mitigation while identifying the strengths, as well as limitations, of management actions dedicated to focal species
Investigation purpose reemphasized.
features such as drainages channel the movement of multiple species
Problem that often leads to collisions
vulnerable to vehicle collisions in predictable locations
Where we could apply this to railways, by predicting mortality.
site- or time-specific, vs. continuous and permanent.
Dilemma of what type of approach is best.
high track curvature that are near water or attractive habitat.
There are localized solutions to this problem, confirmed by the results.
highest in winter for ungulates and other carnivores, and in late spring for bears, respectively.
Animal behavior influenced mortality trends!
among guilds and spatial scales, with shrub cover, topographic complexity, and proximity to sidings and roads
Less confident correlation, but still relevant.
ungulates
According to a quick search, a grouping of hoofed mammals.
Mortality risk increased across multiple guilds and spatial scales with maximum train speed and higher track curvature, both suggesting problems with train detection, and in areas with high proximity to and amount of water, both suggesting limitations to animal movement
General result
Banff and Yoho National Parks, Canada
Location of study
mitigated
Mitigated, for our purpose, is to neutralize the threat imposed by the railway, environment, or combination of the two to prevent animal deaths.
are
Main idea: The text emphasizes preventing animal mortality caused by railway collisions, by gathering and analyzing data of conditional variables that positively correlate with death. The goal is to implement a site-specific approach at high collision areas, as they would be more effective and economically feasible. Concepts of resource availability, animal behavior, train detection interference,and unavoidable threats to animals explored.
Railways
Difficulty of a 3 - straightforward purpose and relevance, but methods of field study and statistical analysis are difficult to understand at times, as well as variable comparisons.