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the American pika Chris Ray, CU

The American pika Chris Ray, CU. Ochotona princeps Ochotona princeps...and... habitat specialists herbivorous highly territorial hay-stackers...and

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  • the American pika

    Chris Ray, CU

  • Ochotonaprinceps...and...habitat specialistsherbivoroushighly territorialhay-stackerspikas are...related to rabbitsas big as your fistnon-hibernatinghighly vocal

  • Outline

    Motivation for an individual-based study of climatic stressors

    Preliminary results from a long-term study in Montana

    Preliminary results from a comparative study of MT & CO pikas

    [email protected]

  • [email protected] heat-stressGrinnell 1917MacArthur & Wang 1973, 1974Smith 1974Hafner 1993, 1994Hafner & Sullivan 1995Verts & Carraway 1998Li et al. 2001Simpson 2001Beever et al. 2003, [email protected]

  • Shrinking distribution of the American [email protected]

  • 25 historical populationsrecorded 1898-1990(average date = 1933)

    6 extinct by 1999 ()10 by 2008 ()

    Extinction rate is rising

    [email protected]

  • Rising mean minimum elevationof 25 historical pika populationsin the Great Basin [email protected] patterns in the Sierra Nevada(Moritz 2007)

  • Habitat size/structureHuman impactsSpecies interactionsThermal [email protected] predicts extinction?

    Beever et al. in press:Habitat area AccessibilityLivestock grazing Acute heat-stressChronic heat-stressAcute cold-stressClimatic refugium

  • [email protected] local extinctionPersisting

  • Habitat area amount within 0.8 km, or entire mtn [email protected] predictors of extinction:

  • [email protected] predictors of extinction (continued):Accessibility distance to nearest non-4WD roadGrazing long-term use of the site by livestockAcute heat stress number of days above 28C/82FChronic heat stress average summer temperatureAcute cold stress number of days below -10C/14F

  • Hourly haypile temperaturesJoyceGellhornTemperature (C)Date (Month-Year)

  • 3 stress metricsData usedHindcastsAcute heat-stress# days > 28 C >28 , >28 , >28Chronic heat-stressSummer mean T S , S , SAcute cold-stress# days < -10* C
  • What predicts extinction?

    [email protected] days(last 60 yrs)Refuge(upslope habitat)Habitat area(w/in 0.8 km)Hot summer(recent mean)Habitat area(w/in range)GrazingGiven the many factors that may be responsiblefor pika extinctions, perhaps the only reason our list of predictors looks like this is because we havent yet had the opportunity to consider other (perhaps better) predictors, and data from other regions.

  • Erb, Ray & Guralnick study, in prep.

    Of 69 historically occupied sitesin the southern Rockies, only 4 are no longer occupied

    The 4 local extinctions are explainedby moisture issues: pikas are missing only from the driest sites

  • How might climate cause [email protected]

  • Outline

    Motivation for an individual-based study of climatic stressors

    Preliminary results from a long-term study in Montana

    Preliminary results from a comparative study of MT & CO pikas

    [email protected]

  • Gallatin RangeDemographic StudyMontanaRay [email protected]

  • Gallatin RangeDemographic StudyMontanaRay [email protected]

  • Gallatin RangeDemographic StudyMontanaRay [email protected]

  • Gallatin RangeDemographic StudyMontanaRay [email protected]

  • Gallatin RangeDemographic StudyMontanaRay [email protected]

  • Outline

    Motivation for an individual-based study of climatic stressors

    Preliminary results from a long-term study in Montana

    Preliminary results from a comparative study of MT & CO pikas

    [email protected]

  • Stress and survival studyGallatin Range, MT& Niwot Ridge, CORay et al., 2008-2009

  • Stress and survival studyGallatin Range, MT& Niwot Ridge, CORay et al., 2008-2009

  • Stress and survival studyGallatin Range, MT& Niwot Ridge, CORay et al., 2008-2009

  • Stress and survival studyGallatin Range, MT& Niwot Ridge, CORay et al., 2008-2009

  • Stress and survival studyGallatin Range, MT& Niwot Ridge, CORay et al., 2008-2009

  • How might climate cause [email protected]

  • How might climate cause [email protected] heat-stressHeat avoidance behaviorReduced foraging activitySmaller or inferior haypilesWinter cold-stress

  • How might climate cause [email protected] heat-stressHeat avoidance behaviorReduced foraging activitySmaller or inferior haypilesWinter cold-stressSmaller or inferior haypiles

  • [email protected]

  • How might climate cause [email protected]

  • [email protected]

  • MorningAutomated cameraat a marmot den

  • How might climate cause [email protected]

  • How might climate cause [email protected]

  • What does the future [email protected] in review, by Scott Loarie et al.*models local extinction probability according to climatefor 97 resurveyed pika sites*S. Loarie, C. Field, C. Ray, E. Beever, P. Duffy, K. Hayhoe, J. Wilkening and J. Clark

  • What does the future [email protected] in review, by Scott Loarie et al.*models local extinction probability according to climatefor 97 resurveyed pika sites*S. Loarie, C. Field, C. Ray, E. Beever, P. Duffy, K. Hayhoe, J. Wilkening and J. ClarkMean annualtemperatureProjectedObservedMid-highemissionscenariosLoweremissionscenariosModerateemissionscenarios

  • Over 50% extinct by [email protected] of local extinction*S. Loarie, C. Field, C. Ray, E. Beever, P. Duffy, K. Hayhoe, J. Wilkening and J. Clark

  • The [email protected]

    *...work done w/Erik...*First, some facts about the little-known pika. Pikas are a small relative of the rabbit, about as big as your fist. One important trait they share with rabbits is that they do not hibernate during winter. Well come back to this point. Other than that, they dont behave much like rabbits. For one thing, theyre highly vocal, making a wide array of calls that can be interpreted somewhat even by humans. For example, at my main study site, I know whether to look up for an eagle or down for a weasel, depending on the sound of a pikas alarm call. One of the most important characteristics of the American pika is that its a habitat specialist. With almost no exceptions, you wont find it away from piles of broken rock, such as taluses or rockslides. Like rabbits, theyre vegetarians. Theyre also generalists, eating a wide variety of vegetation, from grasses to flowering plants; even lichens and bark.The American pika is also highly territorial, with each individual defending its own territory on the talus. This territoriality probably stems from the need to cache food for the winter. Because they dont hibernate, they make hay while the sun shines, and stack it in a big haypile for the winter. Theyll fight vigorously to defend this haypile, and the territory around it. This female in the lower corner is calling to defend her haypile, which is developing in the background. This male in the upper corner is checking a scent marker used to mark his territory.The American pika has a broad distribution that stretches quite a ways into Canada, spanning a wide variety of climatesfrom inland to coastal, from montane to lowlandbut always in rocky habitats. In Asia, about half of the pika species live like prairie dogs in colonies on grasslands. But here, they stick to rocks, and our challenge is to figure out why theyre disappearing from many of their historical talus habitats.**The literature is full of studies showing that pikas can overheat (MacArthur & Wang 1973, Smith 1974a). They have a very high resting metabolic rate, relative to other animals (Li et al. 2001). Its believed that pikas are operating so close to their thermal maximum in the summertime that they need constant access to cooler microclimates like the shadow being used by this little juvenile. But what do pikas do when its too cold? Heres a cold, puffed-out pika waiting for this sparse snow cover in the background to be replaced by a thick, insulating blanket. There have been a couple of studies suggesting that snow cover insulates pikas during cold winters, because survival has been shown to decline in years with less snow cover (Tapper 1973, Smith 1978; and see Morrison and Hik 2007 for collared pikas). Recent work that Ive done with Erik Beever, Nifer Wilkening and others provides evidence for both effects of heat-stress and cold-stress. Weve shown that local extinctions of the pika in the Great Basin can be explained by warmer summer temperatures and more frequent periods of extreme cold. Pikas have disappeared from sites with warmer average summer temperatures and especially from sites with more days when the temperature drops below -10 degrees C.But none of these studies has related the temperatures actually experienced by pikas to individual mortality or morbidity. We know that pikas spend more time under the talus when its hot out, and we know that pikas disappear from warmer sites and from sites with more extremely cold days. We even have data from the collared pika suggesting that the timing and quality of snow cover may be the cause of localized mortality. But we dont know anything for sure about the mechanism or mechanisms through which the pikas microclimate may affect its survival or recruitment. Here Ill discuss a comparative study of pika survival and stress in Colorado and Montana that is designed to illustrate these mechanisms.*Most of the evidence for both prehistoric and very recent losses comes from the Great Basin. This map shows whats happened to the American pika in the Basin over the past 20,000 years. Everything in blue here is pika habitat and was probably occupied by pikas right after the last glacial maximum. Much of the blue area is still occupied today. Sites of pre-historic pika extinctions are indicated in yellow. Red and blue symbols indicate 25 local populations that persisted at least into the 1900. Well zoom in to see these better.*The 25 historical populations were recorded between 1898 and 1990. The average date of these records is 1933. Erik Beever began resurveying these sites in the 1990s, and found that 6 of these populations were extinct by 1999. Weve continued surveying them every couple of years, and fully 9 were extinct by 2007. There have been no recolonizations. So, well over one-third of this sample has gone extinct within the past century, and the rate of local extinction has risen during the past decade. In order to forecast future extinctions in this region, were modeling extinction as a function of likely predictor variables, and were able to test and update our models as more extinctions occur.

    *Lets look more closely at how the range of elevations occupied by pikas has been changing within this sample. Youll recognize that this mountain is a little bigger than anything in the Great Basin, but just bear with me. The red bracket might represent the range of elevations occupied by pikas on a more typical mountain. In our historical sample, the average elevation at which pikas were recorded was about 2300 meters. This isnt a proper minimum elevation, because previous researchers werent focused on the elevation question. This minimum is biased high. Nevertheless, by 1999, Erik had determined true minimum elevations for these populations, and the average of these minimum elevations was 2500 meters. By 2008, it was even higher.The average rate of uphill movement during the last century was more than 3 meters per year, and during the past decade its been 4 meters per year. We need to put some confidence intervals on these rates, but the implications are disturbing. In North America, we dont have any 6800-meter peaks like Ama Dablam here. The highest peak occupied by pikas in the Great Basin isnt much more than 1000 meters above this lower bound recorded in 2005. At the current rate, pikas would pop off the top of most of the peaks in the Basin within a couple hundred years. Other researchers are suggesting similar trends for this species in the central Sierra Nevada, although weve documented pikas thriving in some low-elevation habitats in northern California, and Connie Millar has documented widespread populations on the eastern slope of the southern Sierras.

    *This slide and the next summarize work Ive completed recently with Erik Beever, Nifer Wilkening and others. Weve modeled local extinctions observed in the Great Basin according to hypothesized impacts. The usual suspects in the case of extinction are listed on the left. In order to model extinction, we need some data on these potential predictors. We take what we can get. To address these generalized drivers, weve characterized each historical pika site in the Great Basin according to the factors on the right: the amount of habitat available in the mountain range, accessibility by road, presence or absence of long-term livestock grazing, climatic variables that should lead to acute heat stress, chronic heat stress or acute cold stress, and a habitat factor that might ameliorate effects of thermal stresswhether or not a high-elevation refuge is present near the historical site. This refuge might harbor a persistent population that could recolonize the site if pikas there succumbed to other factors. We constructed logistic regression models of local extinction based on these factors, including multiple regression models allowing for the combined effects of up to four factors. On the next slide, I summarize the relative support for each of these factors as a predictor of local extinction, taking into account each factors effect across single- and multiple-regression models.*Heres how we define local extinction. This cartoon represents a mountain range, and the blue outline represents the current distribution of pikas. The blue dot represents the location of an historical record of pika presence. If this historical site lies within the current distribution, we say that the population is persisting. If it lies outside the current distribution, and pikas cant be found within 3km of the historical record, we say the population is extinct. If it lies within 3km of the current distribution, but at least 200 vertical meters lower than pikas are currently found, then the population is likely making the transition between persistence and extinction. We call this transitional, but persisting. To determine absence, each site was surveyed several times and by different teams over the course of two or more years, with each survey conducted for 8 hours during the cooler portions of the day, in late summer, when haying activity should be apparent.Of the 25 historical populations, only 11 are persisting in this sense, and another 4 have retracted their range uphill by at least 200 vertical meters.*Ill introduce each predictor using this same cartoon of historical and current population records in a mountain range. The first predictor is Habitat, a categorical variable describing the total area of talus within the mountain rangecategorical because theres still no way to really quantify this type of habitat easily. The second predictor might be called a climate surrogate. Erik reasoned that the climate at the top of the mountain was probably better for this cold-adapted species, so if there was some talus at the top of the mountain, pikas could survive there and recolonize lower habitats. So, for each historical site, Erik recorded the highest talus occurring within 3 km. Think of this as a climatic Refuge for the population. This one gets slightly complicated, because mountains in the Basin get higher as you go south*So, weve covered two predictors related to habitat size and structure. Weve also considered predictors related to direct or indirect human impacts.We characterized each historical site in terms of its accessibilty by road, and whether or not it was grazed long-term by livestock. Finally, we also characterized each site by its temperature profile...*Heres what the thermal regime looks like inside a pikas haypile at a couple of my study sites. These points represent temperatures recorded every 2 hours from Sep 2004 to Aug 2005. The red squares represent temperatures in a single haypile in southern Montana; blue circles, a single haypile right up above us on Niwot Ridge.Relative to Niwot Ridge, the Montana site is further north, but its also a bit lower in elevation. So I guess its not too surprising that these factors balance out so that these sites exhibit similar temperatures in the summer. But look at the other data! Niwot Ridge is much colder in the winter, and more variable in the spring. These differences arent just due to latitude. The Montana site is down in a box canyon. Niwot Ridge is much more exposedsnow cover always blows offso it can get a lot colder in the haypile during the winter. Niwot Ridge also gets more sun than a box canyon, so spring snows can melt here and then freeze into thinner sheets of ice, which dont have the same insulating properties as snow. Ive been gathering this sort of data at my study site in Montana for several years now, and Ive begun to link individual survival data to temperatures around the haypile, where a pika spends a lot of its time. *We split our hindcast for each site into two periods: 1945 to 1975, and 1976 to 2006. This allowed us to characterize what we call the prevailing or long-term climate, as opposed to climate change between these two periods. From here on, Ill use omega to symbolize metrics of stress based on the prevailing climate, and delta to symbolize metrics of stress related to climate change.By metrics of stress, we mean climate statistics that capture the sorts of cold stress and heat stress that pikas are supposed to suffer, given results in the literature. For example, survival declines in winters with lower snow cover, and snow cover tends to keep ground temperatures from falling far below zero, so we guessed that temperatures in the talus that were below zero or negative 5 degrees Celsius might be stressful to pikas. For each of these thresholds, we estimated both the cumulative number of days below threshold, and the change in number of days below threshold.For heat stress, we hypothesized effects of chronic stress, represented by the mean temperature in June, July and August, as well as effects of acute heat stress, represented by days in which the temperature rose above 28 degrees Celsius. *We were trying to predict the pattern of local pika extinction in the Great Basin, including 10 sites where populations no longer persist (red and blue arrows) among 25 historical population records (red and blue circles and stars). (The yellow squares represent prehistoric extirpations.)The relative size of the pikas on the right represents the relative support for each of several candidate predictors of local extinction. Some predictors were negatively related with persistence (upside-down pikas), and some had positive effects (right-side-up pikas). The best predictor of local extinction, among the candidates selected, was the number of extremely cold days at the site over the past 60 years. Pikas disappeared from sites where temperatures under the talus more often dropped below -10 deg C. For temperatures in the talus to get this cold, there has to be a cold snap during a period of low snow cover.The second best predictor was the relative elevation of an upslope refuge in the form of talus at a relatively high elevation and within the maximum dispersal distance of a pika. Pikas were more likely to persist in locations where this local refugium was at a relatively high elevation, suggesting that lower populations are often recolonized or rescued by populations at higher elevations. In turn, this suggests an effect of climate on population demographic rates.Other predictors werent so well supported, but habitat areaat smaller and larger scalesreceived moderate support as a positive covariate of persistence. Average summer temperature also received moderate support as a negative covariate of persistence, with pikas being lost from sites that were warmer during summer months in recent yearsspecifically, duing 2005-2006, when we had temperature sensors in place at each site.There was relatively low support for the presence of long-term grazing at a site as a predictor of extinction, and the other candidate predictors that I mentioned received so little support that you wouldnt even be able to see them on this relative scale.So, the best predictor of local extinction in the Great Basin is extreme cold, which also appears to predict individual survival in Rocky Mountain pikas. We certainly need more data before concluding that we understand any mechanisms through which climate may affect pika extinction, but Ill be putting a lot of my effort into examining mechanisms related to cold stress. *There are many ways that climate might affect pikas. Although this is just a simplified cartoon of possible relationships, its complex enough to keep me busy for a long time.**Ive been studying pikas at this site in Montana since 1989. This is a high-elevation site, at over 3000 m or 9500 ft. Here, I mark individuals and follow their survival across years. I also place temperature data loggers in the taluses where pikas live, looking for evidence that survival is related to microclimate.*Over the past few years, pikas that died appeared to experience temperatures similar to those that survived. But notice the slightly higher proportion of extremely low temperatures measured at sites where pikas died.*In some years, such as 2008-2009, this pattern was quite striking. Well come back to this in a couple of slides when we compare survival in CO and MT during this year.*Here we see another interesting pattern. The proportion of adults in the population declined significantly between 1998 and 1999, and has never fully rebounded from this decline. This suggests that recruitment (survival) of juveniles into the adult population has been depressed since the late 1990s.*Juveniles fail to recruit into the adult population if they dont survive their first winter. One reason for this may be lack of sufficient food stores. Here we see the mean size of pika haypiles on August 31 each year, for both adults and juveniles. Since 2000 (the first year I had reliable data on this variable), adult haypiles have been about a 1 on this arbitrary scaleno change in haypile size over time. But juvenile haypiles have declined significantly in size over this period. This may be related to the continued depression of the adult-to-juvenile ratio in this population.**Now lets see whats happening with pika survival and stress in Colorado. In 2008 we tagged 39 pikas at 4 study sites around Niwot Ridge: 2 north-facing sites and 2 south-facing sites. Of those 39 pikas, only 5 survived through 2009, and all 5 surviving pikas were in south-facing sites.*In contrast, the survival rate was normal (about 60%) during the same year in Montana. The survival rate in Colorado was off-the-charts low, relative to the pika literature and previous results from research on Niwot Ridge. Overall, it ranged 13-22%, and it was 0-11% at north-facing sites (the range is due to the possibility of missing survivors during our surveysa probably that has been estimated as quite low in several studies).*We also measured two metrics of stress in pikas from CO and MT during the summer of 2008. We had low sample sizes for our stress studies, due to problems with our pilot study. But one metric exhibited significant differences between MT and CO pikas. Plasma glucosemobilized as part of the fight-or-flight responsewas much higher in CO pikas during the summer of 2008. (95% confidence intervals are shown.)*Differences in temperature appear to explain these differences in survival and stress. Pikas in CO experienced warmer summer temperatures and colder winter temperaturesnote that the frequencies of both very warm and very cold temperatures recorded were significantly higher in CO (dotted lines appear above the range of temperatures that differed significantly between CO and MT by bootstrap analysis).*Pikas on north-facing slopes in CO experienced more cold days, which may explain the lower survival observed on these slopes. *So far, data from many studies suggest effects of climate on vegetation, and data from our studies at two very different scales (individual survival/stress in the Rockies and population loss in the Great Basin) suggest direct effects of climate on pikas. But recall that there are other possible explanations for the relationship between pika loss and climate.*This is the current hypothesis-to-beat regarding pika/population loss.*An intriguing part of this hypothesis involves the pikas food cache, which may be affected not only by changes in foraging behavior but also by climatic influences on available vegetation/quality.*The potential importance of the haypile, and of summer temperatures that may impede haypile development, is pretty obvious at some sites. Haypiles this size are common at my long-term study site. And this isnt the full cache. There are other haypiles within this pikas territory, and at least some of the hay is hidden under the rocks. But, as the hay piles up, a lot of it is visible by late summer. And that makes it easy to analyze what pikas are caching. Its also easy to observe pikas as they forage, so several studies have quantified foraging behavior. And these studies suggest that pikas can be selective, and selective behavior suggests that the type of available forage may be very important. In a study of 15 sites throughout the southern Rockies, Justine Smith found that pikas selected especially for higher water and nitrogen content, and selectivity increased as water and nitrogen content declined in the available vegetation.**Heres the yellow-bellied marmot. The distribution of the American pika in the lower 48 states is generally nested within the distribution of this marmot, and the two species share similar habitats. Heres one of my tagged pikas communing with a your marmot. In fact, I often find pika haypiles right on top of marmot dens, as shown in this photo by my colleague Shana Weber. I also very often see pikas collecting marmot scat and placing it in their haypiles, suggesting this is an important resource for pikas. Marmots and pikas also share a similar set of predators, so they might benefit from each others alarm calls. So far, my research indicates this is more of a one-way street, with pikas using marmots more than the other way around.*One of the fun things to do is to set up automated cameras to see whos using who. I set these up at pika haypiles and at marmot dens, and I find much more evidence of pikas entering marmot dens than marmots visiting haypiles. Heres one series taken at the entrance to a marmot den. Hungry marmot emerges in the early light and soon returns with some forage. Later in full sunlight a pika enters the den. This pika entered this den many times during the week. Heres another shot of her rump disappearing into the den in the afternoon.What they do in there, I dont know, but they do it, which suggests its important.If climate change alters the frequency of interaction between these species, there may be important consequences for the pika. There are already signs that climate change is altering the timing of marmot hibernation.**The only predators that can follow pikas into the rocks are weasels and martens. Both of these guys are emerging empty-handed from pika haypiles.This pika wasnt so lucky, but this is the only time Ive witnessed a weasel successful in capturing a nearly adult pika. Generally, weasels take juveniles, and you can really tell thats the case just by observing the behavior of adults and juveniles when a weasel comes through. Adults tend to jump up on a high rock to get the view, and just stay there giving alarm calls. The calls let the weasel know where the pika is, but they also let the weasel know that its been seen, and no longer has the element of surprise. Juveniles tend to dive under the rocks in response to the adult alarm calls. Weasels tend to keep searching the rocks, ignoring the calling adults that are in plain view. When a weasel does chase an adult into the rocks, the adult usually gets away and pops up somewhere else, probably because it is so familiar with its own territory. Juveniles are clearly not familiar with the territorywhen theyre in a hurry to run they often bump into rocks and run into dead-ends.So, if global warming ends up increasing the frequency of pika encounters with these guys, recruitment may decline. These guys also eat a variety of small mammals, so their distributions may shift in response to the distribution ofsayvoles. So it gets pretty complex.To my knowledge, theres very little information on the density and distribution of these predators. Personally, Ive noticed that in Montana the decline of the pine martin over the past several decades appears to be turning around. I didnt see a single pine martin for the first 15 years of my study, but Ive seen them every few days for the past 3 years. So something appears to be changing.*****