Previous This file was created by scanning the printed publication. Mis-scans identified by the software have been corrected; however, some errors may remain. Figure 7.3 — Percentage of the Basin by ecological integrity and socioeconomic resiliency ratings. Figure 7.4 — Distribution of population density categories by area and population of 1994 and 2040. Because of the projected increase in Basin population, there are likely to be more people in the high density counties. This is particularly true in "recreation" counties that are projected to attract a disproportionate numbers of in-migrants (McCool and Haynes 1996). In terms of socioeconomic resiliency, this means a continued shift toward higher socioeconomic resiliency throughout the Basin, with the exception of the "frontier" counties that are not recreation counties or that have low economic resiliency. None of the 100 counties are projected to lose population between 1995 and 2040; less than 10 percent of the counties are projected to have only minor increases. As other areas become more densely populated, these few counties (less than 10%) are likely to become increasingly isolated and to have difficulty attract• c • r\ the u other u ing infrastructure andj investments. On iji pi i i hand, they are likely to be more apparent as « c »r i i• i- j refuges for people seeking solitude. Predicting trends for socioeconomic resiliency is difficult because of the inherit uncertainty in social systems (because of both the speed at which they change and the uncertainties inherit in the underlying assumptions). Ten year trends in county level economic resiliency that might be attributed to the adoption of alternative management strategies on FS- and BLM-administered lands are related to projected population growth, reliance on FS and/or BLM forage, reliance on harvest of FS and/or BLM timber, recreation opportunities, and initial levels of economic resiliency (see the Economic chapter of this report for further discussion). These trends show 17 counties that might experience possible change in economic resiliency within the Basin. Weighting these counties by the proportion of Basin population they represent shows that only a fraction of the population might experience a downturn in economic resiliency. This is not to downplay the significance of the potential impacts, but rather to place them in perspective. Comparing this small percentage of the population against the relatively large percentage of the Basin area that might experience a downturn in ecological integrity can be deceptive. Ecological integrity trends are judged with respect to forest, rangeland, and watershed conditions and management, with little interaction with prospective human impacts on either management or changes in the mix of ecosystem goods, services, and conditions. Economic resiliency trends speak to the entire economic system within the Basin. As such, they include goods, services, and conditions from forest and range ecosystems as well as the other parts of the Basin. They also only speak to the conditions in the first decade of the planning period (where the trends in ecological integrity speak to changes expected in the next 100 years), . . . . . T [n the lon g™' population changes are a proxy J>r expected economic changes m the Basin (see Ha nes and Horne ln y ' Prfs'. fof Potions of 7 in the Basin tor some or the economic activity . . ma or resources). Projected population shirts over . > <- n inii the next 50 years suggest the Basin would come to . r L w/ • u • u L look like much or the West in that it would become primarily urban. There would still be 45 percent of the Basin's area that would be in the lowest population class that we call "frontier" counties. Those counties would likely continue to generate concerns about their ability to provide social services without help from State and Federal governments. It is expected that concerns about social resiliency would be most pronounced in these counties. There is little that FS and BLM managers can do about this. Political factors are involved in each particular location in addition to the socioeconomic trends. Some people choose these counties specifically because they are sparsely settled. _ , . . . , . . ,. . . Jhere is often the concern about the link between ^uman Conditions and well-being) and the condltlon of the underlying ecosystems. Comparing socioeconomic resiliency by area may cause some to c on dude th , . f PeoPJe m the Basm h^e impovenshed themselves and that ecosystem and human community sustamability is imperiled. Such a vlew a t h e Basi n levd le ds C erroneous conclu < . f ° sions_ First the forest and rangeland ecosystems do not themselves provide the economic foundations of the Basin. Second, many of the ecosystems have been modified by human action to increase Integrity, Resiliency, Risk 659 their production of native (for example, timber and grass) or exotic (for example wheat or cattle) crops o r animals. DSeir AAttAe0mAH*> UHBMAH msK Assessment, riuman Agricultural lands were rated with lower risks than forest and rangeland areas (table 7.6). . ,-, - J - U L C C j lo estimate the risk associated with the rh>- and BLM-administered portion of the wildland areas, ECOlOglCal Interactions ,r ., i • i• • w, We assessed future risk to ecological integrity in ,. , , 1 - 1 1 j relation to people (growth in rural-urban areas and \ i .i i i i • • use rpatterns) and risk to people and their assets in . . .... , rr\_ j i • relation to wildland areas. 1 he underlying assumption is that risk to ecological integrity is generally higher in proximity to densely populated areas, and risk to people and their assets is generally higher in close proximity to wildland areas rather than to agricultural or urban areas. Natural or human-induced events that occur within wildland areas may prove nsky to people, homes, and other assets people value Those risks are related to wildland areas and conditions associated with wildland areas The integrity of ecosystems is also influenced by the presence of people and their activities. a rule set was deveioped that reiated urban-rurai classes to FS and BLM vegetation groups (table 7.7). This relationship assumes a higher risk is • j • i_ r j • i associated with forested vegetation groups than ., , .° J L - U c with non-forested vegetation types and a higher . . . . . . ° . . 'r. ° risk with increasing population densities, °r r ,-,, j • n • i A • j • i Trends in Risks Associated With Human-ecological Interaction • Qn FS. ^ Trends ^ risR w ecol ical in BLM-administered land from interactions with ^ and trends in risks ^ human ^^ from _ ^ ps BLM-administered lands were assumed to ^ ^ ^^ urban.mral classes shift in ^^ ^ trends ^ oshe ecological integrity. In aj> ^ rdationshi ^^ that if urban. ^ dasses become higher ^ tf tfends [n ecojog, _, T> • i A • J • L Current ^kS Associated With Human-Wllaland Interaction ,V7 ., , r , . , .,,, , . r We considered four population/wildland interface , ~, -LI j classes. 1 he areas with moderate or greater road , .. ... ^r> -i j. /• i r densities within a 60 mile radius or the metropoh, D • i -c j u- u tan areas in the Basin were classified as very high. The concept was to identify the areas likely to be inhabited by commuting residents and experiencing strong pressure to expand subdivisions, developed recreation sites, and other structures. Areas with more than 1,000 persons were mapped using a 10- to 30-mile radius depending on the population of the city. Areas with fewer than 1,000 persons were classified as low, while the degree of overlap of the city buffers with each other resulted in moderate or high levels. Societal risk to ecological integrity and risk to human assets from interactions with wildland was estimated using a rule set that related population density to forest, non-forest, and agricultural wildland vegetation groups. Higher population densities in proximity to forest and rangeland vegetation types were rated as having higher risk than low population density areas. 'Ca^ i^egrityare negative, then trends in risks generaiiy increase (table 7.8). Future urban-rural classes (table 7.9) were based on projected population densities (very low, low, moderate, and high) that D , , J, . ., . _,. . .. were calculated fc o r each subbasm. 1 h e underlying . , . , .,. , „ . r rpro ections or population change within the basin ' , /•»*,-. i ITT nnn/-\ were taken from McCool and Haynes (1996). ' n i j TX« Results ™d DlSCUSSlOn FioodS) wildfire, road slumping, culvert plugging, cougars frequenting backyards, and deer and elk damaging ornamental shrubs are all examples of increasing risks associated with living in close proximity to wildland areas. Generally the more wiid the ^ the higner the risk> and the more human populations increase in close proximity to wildland areas the greater the risk. A symmetric relationship was assumed to exist concerning the l[s^ to tne integrity of wildland areas from human influence and the risks faced by humans in proximity to wM^d areas. Road building, fishing, camping, hiking, wood cutting, berry picking, and developed recreation sites are all examples of activities that tend to increase in wildland areas in close Integrity, Resiliency, Risk Table 7.6 — Societal risk to ecological integrity from human interactions and risk to human assets from wildland areas. Urban-Rural Classes Forest vegetation types Non-forest vegetation types Agricultural types Low Moderate High Very high Low Low Low Moderate Moderate Moderate High Moderate Moderate Very high Very high High Table 7.7 - Risk to FS- and BLM-administered land ecological integrity from human interactions and risks to human assets from FS- and BLM-administered lands. Urban-Rural Classes FS/BLM Forest vegetation types FS/BLM Non-forest vegetation types FS/BLM Other Non-FS/BLM Low Moderate High Very high Moderate Low Low None High Moderate Low None High High Moderate None Very high Very high High None Table 7.8 - Trends in risk to FS- and BLM-administered land ecological integrity from human interactions and trends in risks to human assets from FS- and BLM-administered lands under conditions of increasing, stable, and decreasing ecological integrity trends. _. .• Ecological Integrity +3 +2 +1 0 -1 -2 -3 Future Urban-Rural Classes Low Moderate High Very high Decreasing Decreasing Decreasing Decreasing No Change No Change No Change Decreasing Decreasing No Change No Change Increasing Increasing Increasing No Change No Change Increasing Increasing Increasing Increasing Increasing Increasing Increasing Increasing Increasing Increasing Increasing Increasing Table 7.9 — Future urban-rural class given population increase class and current urban-rural class. Current Urbanrural class Low Future Population Density Class Moderate High Very high Low Moderate High Very High Low Moderate Moderate Very High Low High High Very High High Very high Very High Very High Moderate High Very High Very High Integrity, Resiliency, Risk 861 Figure 7.5 - Societal risk of human-ecological interaction: percent of the Basin with low, moderate, high, or very high risk associated with the management of human ecological interactions. proximity to population centers. The larger the population center, the higher the activity levels. These activities tend to create risk to ecological integrity. Recreation tends more toward developed site recreation while still supporting increased dispersed recreation. Risks associated with the interaction of urban and wildland areas are associated with the six major metropolitan areas within the Basin (Boise, Nampa/Caldwell, Missoula, Spokane, Kennewick/ Pasco/Richland, and Yakima). Missoula, Boise, Nampa/Caldwell, and Yakima are in close proximity to FS- and BLM-administered lands and therefore are anticipated to have a greater risk associated with the interface of FS- and BLM-administered wildlands than Spokane or Kennewick/ Pasco/Richland. Spokane does have substantial wildland interface risks, but they are mostly associated with private land. Kennewick/Pasco/ Integrity, Resiliency, Risk Richland is a mixture of wildland and agricultural interfaces. Where these metropolitan areas are in close proximity to high integrity wildlands, risks to the maintenance or improvement of integrity would be high. Likewise these metropolitan areas would pose greater risk to areas of high integrity in close proximity than to areas of low integrity, suggesting the need for additional emphasis to manage the risks to attain and maintain high ecological integrity. Considering all land within the Basin, approximately 58 percent of the area is classed as low urban/rural class with approximately 23 percent classed as high or very high. This reflects die low density of population within much of the Basin. Translating this societal risk to ecological integrity from interactions with humans and the risk to human assets from wildland areas, about 58 percent of the Basin has low risk and 21 percent has high or very high risk (Figure 7.5). Thus the majority of the area in the Basin would be viewed as having low risk from a societal standpoint. Risks vary by location with very high risk associated with die major metropolitan areas in the Basin (map 7.10). Using this as a frame of reference, the view from a FS or BLM manager's frame of reference would be slightly different (map 7.11 and fig. 7.6). Removing the non FS- and BLMadministered lands from consideration and recalculating the risk to ecological integrity from human interactions and the risk to human assets from wildlands, shifts to greater risk in general. On FS- and BLM-administered lands nearly 50 percent of the land is classed as moderate risk while about 19 percent is classed as high or very high. Thus, from the FS/BLM perspective there are more risks involved with managing the wild- land areas than might be viewed by society as a whole. Forested vegetation occurring in areas of moderate urban-rural classes results in high risk from the FS and BLM manager's perspective, while society might consider this as a moderate risk to all ownerships. Managing risks in areas where populations are increasing becomes more complex as fewer options for treatment become available. Managing smoke from prescribed fire, reducing tree densities in areas with high scenic values, fencing riparian areas frequented by recreationists, and allowing flooding to occur naturally in stream channels are all examples of increasing complexity as human populations increase in proximity to wildland areas. Nearly 60 percent of the Basin is rated as having low composite integrity (see map 7.1) with only Figure 7.6 - FS/BLM risk of human-ecological interaction: percent of FS- and BLM-administered land with very high, high, moderate, and low risk associated with the management of human ecological interactions. Integrity, Resiliency, Risk 17 percent rated as high. The interaction across ownerships is important to consider as new management direction is proposed. Over 80 percent of the area rated as having high composite ecological integrity is on FS- and BLM-administered lands. If the long-term goal is to maintain high integrity areas and move more area into the high integrity class, FS- and BLM-administered lands become important resource areas because of their integrity. The increasing population of the Basin results in trends toward more risks to ecological integrity from human interactions and risks to human assets from wildlands across each alternative (maps 7.12 through 7.18). This despite the stable or favorable trends in ecological integrity projected for Alternatives 4 and 6. All alternatives show at least 20 percent increasing risks; Alternatives 1 and 5 show more than 50 percent increasing risk. Alternative 1 shows no areas of decreasing risk. The areas generally showing increasing trends in risk are those near major population centers where populations are expected to increase rapidly, and in areas associated with downward trends in ecological integrity. [Alternatives 4 and 6 were projected to have stable or improving trends in ecological integrity, thus increasing risks in human ecological interactions are associated with increasi • i In T Alternatives Ai • 1i andjcu5 where ing populations.] u • i u • - jdeclines j i - in • substantial areas were showing rapid ecological integrity trends (values of-2 or -3), the trends in risk are originating from both increasing population and declining ecological integrity trends. Risks to integrity are shown as increasing even in areas composed mostly of existing wilderness. This implies that human-ecological interactions in these areas result in increasing risk to ecological integrity if ecological integrity trends are decreasing. The arguments are that declining ecological integrity would place people at greater risk (more uncertain outcomes for flood, wildfire, and other events) and that people interacting with these areas would be increasing the risk to integrity (camping along streams that are not improving in integrity, more people accessing the wildland areas, increasing probability of noxious weed 664 Integrity, Resiliency, Risk spread, and other risks). If ecological integrity is trending upward, the system is more resilient and trends in risk to human assets and risk to ecological integrity from human use would be less, ... . . . . . . Even wlth , improving trends ,n ecological mtegri?>" ^0 ecol°glcal integrity from people and nsks to human assets fr m wlldland areas ° ™U be nciea! ' ^ due to population increases in the Basin. 1 hus, rS and BLM managers can anticipate that managing for ecological integrity will involve managing increasing risks from the association of people with wildland areas and risks to human assets from wildland areas. _. . ,. ..„ TherLe 1ST llttle dlfferen<;e between the alternatives [°r the rlntefate 90 (Spokane, WashmgtonMissoula Montana) or Interstate 84 (Ontario, Oregon-Twin Falls, Idaho) corridors. Alternatives ?, 4, 6, and 7 generally do make a difference by lowering the risks ,n the area east of die Cascades and ln the a ea w< r f ? of Yellowstone National Park, ^sks ^ ecological integrity in the Kennewick/ Pasco/Richland area with its large private: land base ^c j 5^ r 'Tm?flfected ^ *c van us ° ^ and BLM futures. In the area east of *c ^0^5 thfe are ™>al,ea^west of Yakima, Washington and east of Bend, Oregon) where a 6growing & human population may 7 overwhelm ft. . . . , . , management attempts to lower risks within the & K . ternatives. There are three additional geographic regions where different land management approaches are unable to alter the risks to ecosystems and where increasing human populations are not the source of increased risks. These are the areas east of Missoula Montana along the continental divide, £c area f rom °Tntano' °£f °un to B0^er C^' Ore on g ^ In«rsta« Highway 84) and the area fUrther east of Bend, Oregon. In these areas the level of restora «on actlons envisioned in the alternatives are inadequate to reverse the mcreasm trends m ecolo cal and human sks g g' " Risks to human assets from wildland areas and risks to ecological integrity are not restricted to metropolitan areas. Much of the Basin is expected to remain rural where risks are associated with res- idents, and remain in primitive areas where risks are associated with visitors. Local publics would be expected to continue to express preferences for stability in scenery and lobby to have projects put in someone else's backyard. Recreation use is expected to increase sharply, leading to greater conflicts between recreation use and land management actions including the issue of road closures. The proportion of the Basin that is sparsely populated and where Federal agencies are a visible part of the communities is projected to change very little and would continue to place demands on Federal resources to be part of their community infrastructures. This would be the case especially in the area of risk management, where these counties have fewer resources to address risks or assist in control of natural events such as wildfire, flood, and insect outbreaks than exist in the more heavily populated areas. FS/BLM Management Risk to Ecological Integrity from the Urban-Rural Interface Trends by Alternative for FS/BLM administered lands Figure 7.7 - Trends in risk to human assets and ecological integrity projected for each alternative for FS- and BLM-administered lands. Integrity, Resiliency, Risk Map 7.10 - Level of societal risk associated with interactions of human and ecological systems. Integrity, Resiliency, Risk Map 7.11 - Level of risk associated with the management of human ecological interactions on FS- and BLM-administered lands. Integrity, Resiliency, Risk Map 7.12 - Long-term trends in risk of human ecological interaction on FS- and BLM-administered lands only: Alternative 1. Integrity, Resiliency, Risk Map 7.13 - Long-term trends in risk of human ecological interacuon on FS- and BLM-administered lands only: Alternative 2. Integrity, Resiliency, Risk Continue