Public lands provide many ecosystem services and support diverse plant and animal
communities. In order to provide these benefits in the future, land managers and policy
makers need information about future climate change and its potential effects. In particular,
weather extremes are key drivers of wildfires, droughts, and false springs, which in turn can
have large impacts on ecosystems. However, information on future changes in weather
extremes on public lands is lacking. Our goal was to compare historical (1950–2005) and projected
mid-century (2041–2070) changes in weather extremes (fire weather, spring droughts,
and false springs) on public lands. This case study looked at the lands managed by the U.S.
Forest Service across the conterminous United States including 501 ranger district units. We
analyzed downscaled projections of daily records from 19 Coupled Model Intercomparison
Project 5 General Circulation Models for two climate scenarios, with either medium-low or
high CO2 equivalent concentration (RCPs 4.5 and 8.5). For each ranger district, we estimated:
(1) fire potential, using the Keetch-Byram Drought Index; (2) frequency of spring
droughts, using the Standardized Precipitation Index; and (3) frequency of false springs, using
the extended Spring Indices. We found that future climates could substantially alter weather
conditions across Forest Service lands. Under the two climate scenarios, increases in wildfire
potential, spring droughts, and false springs were projected in 32–72%, 28–29%, and 13–16%
of all ranger districts, respectively. Moreover, a substantial number of ranger districts
(17–30%), especially in the Southwestern, Pacific Southwest, and Rocky Mountain regions,
were projected to see increases in more than one type of weather extreme, which may require
special management attention. We suggest that future changes in weather extremes could
threaten the ability of public lands to provide ecosystem services and ecological benefits to
society. Overall, our results highlight the value of spatially-explicit weather projections to
assess future changes in key weather extremes for land managers and policy makers.
Fire and wetlands are not concepts that we intuitively think about in conjunction with one another. Masters student Colleen Sutheimer is working to change that with the hope that her work will eventually inform future wetland management and conservation on a broad scale. By reconstructing the historic temporal and spatial scale of fires in forested wetlands in the upper Great Lakes region, Sutheimer believes her work will help managers make good decisions about the use of fire as a management tool in these extremely unique and important ecosystems.
Forested wetlands make up almost half of all freshwater wetlands in the United States, and forested wetlands declined by over 250,000 hectares between 2004 and 2009 alone. These areas are extremely important ecologically, though, as they are home to many unique plant and animal species, are important stores of organic carbon, and provide water filtration services. However, the historic role of fire in these systems is not well understood. Specifically, whether these systems developed with fire and how often fire happened in the past are questions Sutheimer is hoping to answer. “This is a really interesting time to be working on fire in the Great Lakes region, but especially in these wetland systems. A rigorous understanding of fire’s role in Wisconsin has not been achieved yet,” Sutheimer said of her research.
Reconstructing historic fire regimes is not an easy job, however. In order to do it, Colleen and her colleagues at Wisconsin DNR target red pine stumps in forested wetlands that are remnants from the clear cut that took place over northern Wisconsin and the Upper Peninsula of Michigan in the 1800s. Using chainsaws, Sutheimer takes samples from these stumps and non-destructive samples from living trees and snags. These collected samples must then be dried, planed to create a flat surface, and finally sanded to smooth the surface and make the growth rings visible and ready for analysis. With a well-prepared sample, Sutheimer can determine the age of the tree, as well as examine fires scars as evidence of fire exposure in the growth rings of the tree. Targeting these old stumps allows Sutheimer to examine the frequency and intensity of fires that occurred up to 500 years in the past. Additionally, by taking samples at a large spatial scale, Sutheimer can get an idea of how intense specific fires were.
Sutheimer has already completed sampling at one of her study sites, near Betchler Lake in the Hiawatha National Forest, located in the upper peninsula of Michigan. At this site alone, Sutheimer took over 80 samples from both the periphery of the wetland as well as from “islands” of trees within the wetland. Using the samples she has collected from the Betchler Lake Area, Sutheimer will be able to reconstruct an entire fire history for this localized wetland area. Though Sutheimer has not aged these samples yet, a sample from another area yielded a tree that had originated in the 1500s, making Sutheimer optimistic that their sampling will successfully span a broad temporal range. This site is just the beginning. Sutheimer has plans to reconstruct fire histories for additional sites in the Hiawatha, Ottawa, and Chequamegon-Nicolet National Forests, giving her an unprecedented look at the history of fire in these wetland systems.
Disturbances such as fire may be important shapers of forested wetlands by helping to stop vegetation encroachment and allowing them to continue to provide essential habitat to many amphibian and carnivorous plant species that are already threatened by other factors. These areas also serve as carbon sinks by storing carbon both in the trees and in the inundated organic soils. Threats like climate change make it even more imperative to understand past disturbance regimes to help scientists plan for future climate scenarios. Understanding the historic role and characteristics of the fire regime in these systems will allow Sutheimer not only to understand how fire has affected these systems in the past, but to provide recommendations for its use as a management tool in the future.
Wildfires are a major threat to houses and people in the US. About 2 billion dollars are spent every year in preventing and suppressing fires by the US Forest Service alone, and about 1,300 houses are burned each year on average. Housing is expanding every year and the number and frequency of wildfires in increasing as well, suggesting that this problem is likely to get worse in the future. Understanding the how wildfires affect houses, and what we can do to prevent those damages, is key to guide land-use planning and management efforts in fire prone places.
“People want nice views and to live out in the country, however, houses in such locations are under high risk of wildfires”, said Patricia Alexandre, a PhD student at Silvis. Understanding the factors that explain the likelihood of a house to burn during a wildfire is of major need for land-use planning in wildfire prone areas, and for agencies such as the US Forest Service. However, there is little knowledge on this topic according to Patricia. Patricia’s research focuses on identifying the key factors that explain the likelihood of a house to burn during a fire. For this, she is using two wildfires as case studies, including a wildfire that occurred in San Diego (California) and one in Boulder (Colorado). High resolution imagery before and after the fire is being used to map all the houses within those fires, that burned due to the fires. ‘In the Boulder fire for example, we mapped about 1100 houses, and we see that 10% of them were burned after the fire’, Patricia said.
The study explores about 40 environmental variables to predict the likelihood of a house to burn, such as vegetation conditions, topography (aspects, slope, elevation, topographic position), and the spatial arrangement of house (housing density, distance to near house). According to Patricia, predicting the likely of a house to burn is a complex task. “In Colorado, the houses most likely to burn were those on high slopes or on top of ridges, as well as those located at the edges of the neighborhoods. In San Diego, however, the results were more variable. What might explain things in one fire may not work in other.”
Another important finding from this study is that the spatial arrangement of the houses matters. According to Patricia, “previous efforts used only topography and spatial arrangement to predict the likelihood of a house to burn given a wildfire, but we decided to add vegetation to see how much in fact is vegetation contributing to this phenomenon. We see that vegetation alone cannot explain why a house burned alone, the way houses are arranged on the land is also important”. Currents efforts are focused towards refining the models so to have a better understanding of the local forces that result in burned houses within a single fire. However, the ultimate goal is to expand the study to the whole US.Patricia hopes that this study will help the government to allocate resources (e.g. fuel management) in a more efficient manner, and will provide land-use planners, urban planners, and home owners with useful information and recommendations about housing construction in wildfire-prone areas. This study is a step towards Patricia’s dissertation focused on understanding the factors that explain house loss to wildlife in the US. “My ultimate goal is to develop a risk map for the whole US that tells you how likely it is that your house burns if a fire occurs”, Patricia said.
Imagine an expansive prairie, dotted with Bur Oak trees, leaves swaying in the afternoon breeze. Bison were common in this scene, along with other vestiges of a time’s past. When Euro-Americans first settled southern Wisconsin, over 150 years ago, this is more or less what they found. However, with settlement came changes in land use, resulting in changes in land cover. The prairies and oak savannas with their rich and deep soils were converted to agriculture, urban areas sprouted, and natural disturbances, most notably fire, which were necessary to maintain the structure of the vegetation communities, were suppressed. As a result, the expansive prairies and oak savannas of Southern Wisconsin were nearly wiped from the map.
Fast-forward 150 years, and resources managers throughout Wisconsin are challenged to restore these once common habitats. The most effective approach is prescribed fire. Prescribed fires re-create natural burns in a safe and controlled manner. Fire is critical for knocking back woody vegetation, replenishing the soil, allowing certain plants to sprout or reproduce, and shaping the structure and composition of the habitats, which directly impact wildlife communities. Because prairie and oak savanna used to be expansive, covering most of southern Wisconsin, there are many lands today that need fire to maintain the character of the native habitats. Yet, this poses a different challenge. Resource managers have finite funds and personnel for applying prescribed fire. With so many lands that would benefit from fire, and limited resources to conduct prescribed fires, there is a real need to better understand where priorities lie. To achieve this, Sarah and Dave, along with collaborators from the Tallgrass Prairie and Oak Savanna Fire Science Consortium, are using an approach that considers the potential ecological gains of applying prescribed fire along with the effort needed to burn a given area and the ease with which managers are likely to be able to apply prescribed fire in a particular landscape.
The group is piloting this approach in Wisconsin, but is hoping that it may be more broadly applied across the region, and possibly in other regions, in the future. ‘Prescribed fire is a critical management tool for many landscapes in the US. Given limited resources, it is important to be able to use this tool strategically to achieve the greatest possible gains for our conservation dollars,’ says Sarah. To that end, the group is relying heavily on free, publically available datasets (e.g., Landfire vegetation data, Wildlife Action Plans, and Wildland-Urban Interface housing data), and common sense approaches to prioritization. ‘It is really important to us that others to be able to understand and apply this approach in their own landscapes. Many land management agencies and conservation organizations are working very hard to conserve, manage, and restore our native landscapes. The work is time consuming, complex and often expensive. We want to provide these managers with practical tools that can help them decide where they can get the greatest benefits from their efforts.'”
Today I’m sitting down with Dave Helmers, a GIS/Research Specialist in the SILVIS lab, to talk about his magic fingers.DL: So when you’re massaging US Census workers, do you use the same technique for everyone? Or are these individual-specific? Swedish or Shiatsu?DH: Ha. I don’t actually massage the workers themselves. What I do massage, though, are the data collected by those workers. I would argue that both are equally in need of a backrub.DL: Oh… I see… so why massage the data?DH: Out of the box, US Census data was not really designed for ecological research, but does provide a wealth of information that can be manipulated to answer ecological questions. Several questions of particular interest to the SILVIS lab have been how to map the Wildland Urban Interface (WUI; pronounced ‘WoooWeee’) across the conterminous US, and whether housing density has changed adjacent to protected lands over time. The census data comes in a database comprised of census blocks, where each block is of a various size and whose boundaries are generally defined by political instead of natural boundaries. Housing information is reported per census block – an administrative boundary with no information on where housing may or may not be distributed in actual space.DL: I see, this is similar to the work I do with weather radar, where I’m using it to study bird migration, an application for which it was never intended. We do some serious data massaging to correct for all sorts of atmospheric issues with the data. Okay, you’ve got my attention, so what exactly do you do with the census data?DH: My first order of business is to identify those areas where houses ‘can’t’ exist. These are areas in the public domain; protected areas, national parks, reserves, etc. I call this the ‘public land adjustment’ (PLA). To do this I overlay a public lands spatial database with the census data to partition each census block into public and private areas. I then reallocate all of the housing numbers to just the private zones of blocks.
DL: Aha, so this correctly allocates density to the spatial region where houses are allowed, which is important when you’re trying to understand how housing pressures are changing over time, or when defining risks to fires, etc.DH: Exactly. For instance, in the western US, where population density is lower, census blocks are typically much larger and may encompass a large proportion of public lands. Add to this the prevalence of large fires and you start to see the importance of accurate housing density numbers to correctly designate WUI status and to understand the spatial arrangement of high-fire-danger zones. Since the WUI designation is based on housing density (at least 1 housing unit per 40 acres), if we’re going to use census data to map the WUI, we need to have a spatially accurate measure of housing.DL: So is that the only massaging you do to the census data?DH: No, not at all. The other big knot we have to work out, if you will, is the fact that census blocks may change in shape and size from one Census to the next (the US census takes place every 10 years) so even if we know that the raw numbers of houses have gone up or down between periods, we can’t actually say anything about housing density until we account for any spatial changes. To deal with this we overlay the perimeters of three time periods (spanning 30 years) for each census block and map those areas that are shared between them, and those which differ, and compute a time-corrected housing allocation for each resulting polygon. Effectively this allows us to correct for spatial variation in census blocks and make comparisons of housing density across time.
DL: Wow! That sounds like a lot of work, but in the end you’ve got an ecologically relevant product.DH: Yeah, that’s the idea. So the two main questions we’ve been asking with this dataset in the SILVIS lab are ‘how is the WUI changing over time’ and this includes some modeling efforts to predict how it will expand or contract in the future. We’re also asking ‘how does housing density change with respect to protected areas’. Since we see proximity to protected areas as a desirable lifestyle choice, we predict that housing density should increase near these areas. By correctly appropriating the housing numbers to those areas where houses may be built, and by correcting for the changes in census blocks over the years, we have been able to demonstrate that indeed housing around protected areas has increased and that this is having an effect on some guilds of birds. That last bit is from work done by Eric Wood and currently in review.
DL: So are these datasets and products you’re creating for in-house use, or are they available to the public?DH: We serve this data to the public in several forms, ready-to-use maps of housing density and housing density change over time, as well as the geospatial (GIS) data for additional crunching should someone be interested in using it for an analysis. These data area available on our website at the following links:http://silvis.forest.wisc.edu/maps/housinghttp://silvis.forest.wisc.edu/maps/wuiDL: One last question, so what cool products should we be looking for coming out of the SILVIS massage parlor in the near future?DH: I think the next coolest product will be the WUI change map. Everyone wants to see this, especially the US Forest Service, but the impacts of this dataset will be far-reaching from basic science to management applications, to insurance adjusting. As the U.S. population increase and the old paradigm of having to live near your work degrades, we’re going to see more people living in fire-prone ecosystems. If the climate predictions are accurate, and extreme weather events are going to increase, this type of data is going to be super relevant.DL: It sounds like your masseuse skills are being put to good use. Thanks for taking the time to talk, now if you would, I’ve got this knot on the right side here…”
In 2010, the Meridian Boundary Fire burned over 8,500 acres in and near the Huron District of the Huron-Manistee National Forest. Like 99% of the other 340 fires that have occurred on the Huron since 1994, the Meridian Boundary Fire was human-caused. The fire destroyed 13 homes, damaged 2 others, and destroyed or damaged 46 outbuildings. There was nothing unusual or sinister about the fire. The ignition was accidental. Things simply went wrong as a resident executed a permit to burn brush.One reason why this area burns so often is that forests are dominated by Jack Pine, a native species that is extremely flammable. A second reason is that the soils are very sandy leading to rapid drying of fuels even after heavy rains. ‘Fires in this system can go crazy’, says Avi Bar Massada, a post-doctoral researcher in the SILVIS lab. ‘Burning jack pine stands can end up as raging crown fires’.
Bar Massada is part of a team of researchers seeking to predict where fires are likely to occur and which anthropogenic variables are most often associated with fire ignition.Bar Massada, Professor Volker Radeloff, and their collaborators from the Conservation Biology Institute and the U.S. Forest Service have compared multiple modeling approaches to determine which variables are most strongly correlated with fire ignition. Interestingly, Bar Massada says, ‘Fire ignitions behave pretty much the same as wildlife species occurrences.’ In fact, one of the modeling approaches he used for predicting wildfire ignitions is MaxEnt, a program that has been used to model distribution of wildlife species. MaxEnt uses known occurrences of a species (or, as in this case, a wildfire ignition event) to determine which factors best predict those occurrences. Those factors can then be used to predict future occurrence of the phenomenon of interest, such as fire ignition.
The research has shown that the best predictor of fire occurrence is distance from the nearest road, a consistently good predictor of fire occurrence in the 48 contiguous United States. Fires on the Huron NF rarely occur far from a road, because humans – rather than lightning – are causing the fires. The other three major factors that predict where a fire will ignite include distance from the nearest house, housing density in the surrounding area, and elevation.The ultimate goal is to be able to direct limited resources to preventing fires before they start, saving life and property. Accurate prediction of ignition hazard is critical to achieving it. style=”text-align:”>
Sarahy Contreras has been studying hummingbirds in western Mexico for nearly 20 years. Her current project tackles the question of how fires, and the anticipated future increase in fires in western Mexico, may affect hummingbirds. Surprisingly, relatively little is known about hummingbirds as a group. Certainly they are hard to study and catch – a tiny bird in constant motion from flower to flower, species to species, and often through continent over the course of a year. Yet this is exactly why. Contreras wants to study them. How are they distributed across the landscape? How closely are their movements linked to the phenology of different flower species? And how do fires of varying intensities and frequencies affect those patterns?The biosphere reserve where Professor Contreras works has long been recognized as a hummingbird hotspot. Of the 24 hummingbird species that occur in the state of Jalisco, 23 of them are found within the Sierra de Manantlan Biosphere Reserve. The reserve sits in the mountainous area of western Mexico, which during the winter harbors the highest diversity and abundance of terrestrial migratory birds throughout the Neotropical region. But the reserve is not just for birds and the pine-oak forests which dominate its landscape. Nearly 400,000 people live within and around the reserve as well.Fire has traditionally been an important component of the landscape in western Mexico and an important tool for its people. The majority of fires are set by people to clear land for agriculture. On occasion, these fires escape and can burn quite large areas. Some of these wildfires are of relatively low intensity, primarily burning the shrub layer and rarely reaching tree crowns. Other fires are severe – burning everything up to and including the tree crowns. A large effort is currently underway in the Sierra de Manantlan Biosphere Reserve to change local attitudes and practices related to fire. Part of this project is an increase in capacity to put out fires once they are started. Another important component of the project is education for the communities inside the biosphere on the natural resources in the reserve and how those resources and species are affected by fires.
Professor Contreras is studying the effects of these fires on hummingbird populations in the reserve. In particular, she is examining how hummingbirds fare over time in sites that were burned by fires of different intensities. Professor Contreras is also interested in how hummingbird populations change over time in previously burned sites. Her study sites include a continuum of sites burned relatively recently (less than 10 years ago) to sites burned more than 25 years ago. As these sites become revegetated and move through various stages of forest succession, Professor Contreras is tracking not only which species are using the sites but also the health of the populations of the individual species. Metrics including abundance, age and sex ratios, and survivorship provide an indication of the health of these populations over time. Luckily Professor Contreras started collecting bird data in the reserve nearly 20 years ago. She initiated and now coordinates a bird banding program that is active both in the biosphere reserve and throughout Mexico. The resulting comprehensive database of bird observations across sites and over time is allowing her to look at population response to burned sites over a 25 year time period – a rare opportunity to understand long term responses of hummingbird populations to fire.
Professor Contreras is just beginning to analyze her data. Initial results suggest that the response of hummingbirds to fire depends on the species in question. For example, rufous hummingbirds, a common visitor to the US and one of the hummingbird species with the longest migrations, do quite well in recently burned areas. However, as burned sites succeed back toward a closed canopy pine-oak forest, their use of sites decreases. In contrast, Amethyst hummingbirds, a resident forest specialist with a very restricted range a preference for pine-oak and cloud forest habitats, are essentially absent from recently burned sites and only return once the forest structure returns.The results of the study will be important for the conservation of hummingbirds, identifying the particular habitats that different species depend on, and how populations of those species respond to the presence of different intensities and frequencies of fire on the landscape. Results will be translated into recommendations for conservation and forest management within the region that may benefit both resident hummingbirds and migratory species which overwinter in the reserve. The study will also provide insight into how hummingbird populations may be affected an increasing presence of fire in western Mexico that current models of global climate change predict.
Nowadays, wildfire is a regular occurrence in arid grasslands of Kalmykia, Russia. However, landscape analysis of a 23 year period showed significant changes in the fire regime that might be directly linked to socioeconomic changes in Russia during that period. With the fall of the Iron Curtain in 1991, there were socio-economic changes that impacted all of society – from day-to-day life in the big cities to rural farming operations.When a forest burns, the change in the vegetation is dramatic and the recovery is slow. In contrast, effects of wildfires in grasslands are not as conspicuous and recovery happens quickly, often the same year of the fire. These characteristics require novel methods to map wildfires in grasslands accurately. (photo-stipa-green-nonburned and photo-burned-area)
PhD candidate, Maxim Dubinin, has mapped the patterns of fire in this Russian region west of the Caspian Sea. Maxim wondered just what was happening in these arid grasslands and how the collapse of socialism affected landcover. His goal was to quantify how (and whether) fire changed after 1991. To accomplish this goal, he analyzed a series of satellite images between 1985 and 2007, two images per year, one prior to the fire season begins (early spring) and one image after (late summer / early fall). For each year in that time period, he mapped where grassland fires occurred.After 1996 there was a dramatic increase in the area of land burned each year (Figure 1). Maxim and his colleagues propose this is a direct result of the socioeconomic changes. You might wonder how a political shift might result in such a change and why there was a five year time lag? With the socio-economic change, livestock subsidies were eliminated, and farmers could no longer afford to keep their animals (Figure 2). The result was a dramatic decrease in grazing pressure and an abundance of grass that was ready to burn.
Towards the end of the study period, the economy started to grow again and farmers were once again able to support more livestock, resulting in an increase of grazing, and possibly, a decrease in fire as evidenced by Figure 1. It is too soon to tell whether there is a direct link, but with a few more years of data and additional analysis, a trend of further reductions in wildfire activity might become more apparent.This is just one part of the story of fires in Russia. Next steps of Maxim’s project involve a more robust statistical study of causes of such change (including various human and environmental factors) and Maxim studying the changes in vegetation types, especially a shift from Artemisia shrublands to Stipa dominated grasslands, that might have been caused by the more frequent fires.”