Current Landscape Ecology Reports

, Volume 1, Issue 1, pp 19–29

Landscape Features and Processes Influencing Forest Pest Dynamics

Effects of Landscape Structure on Undesired/Over-Abundant Species and Ecological Processes (S Collinge, Section Editor)

DOI: 10.1007/s40823-016-0005-x

Cite this article as:
Ferrenberg, S. Curr Landscape Ecol Rep (2016) 1: 19. doi:10.1007/s40823-016-0005-x
Part of the following topical collections:
  1. Topical Collection on Effects of Landscape Structure on Undesired/Over-Abundant Species and Ecological Processes

Abstract

Insects and pathogens (pests) in forest ecosystems can impact tree fitness and greatly increase rates of tree mortality. Pest dynamics vary significantly across spatial and temporal scales due to influences from a range of landscape features. Here, with a focus on recent research, primarily from coniferous forest ecosystems, I review the influence of landscape features and their interactions with global change pressures on forest pest dynamics. Landscape genetics have revealed evidence of local adaptation and spatially aggregated patterns in phenotypes within tree populations. Thus, I also consider the role of phenotypic adaptations as features of the landscape affecting forest pest dynamics. Landscape influences on pest dynamics are illustrated by three case-studies representing pests with different feeding strategies, levels of host-specialization, and dispersal potential. The effects of landscape features on forest pest-host interactions are anticipated to grow increasingly complicated in an era of rapid environmental change. Despite recent advances in remote sensing, genomics, and analytical tools, significant gaps remain in our understanding of the complex interactions of pest-host systems with landscape features under global change pressures. Filling these gaps requires continued research into the landscape ecology of forest pests, along with increased efforts to understand the role of pest and host functional traits in pest population dynamics. Thus, I conclude with a conceptual framework for generating testable hypotheses regarding factors affecting the relative influence of landscape features on forest pest dynamics and the predictability of spatiotemporal patterns in forest pest dynamics.

Keywords

Climate change Forest pests Functional traits Landscape ecology Pathogens Phenotypes Spatial scale 

Introduction

Forests cover 30 % of the Earth’s terrestrial surface and provide numerous ecological services [1, 2]. Tree community structure is shaped by a number of spatially and temporally variable processes [1, 2, 3, 4] which determine forest ecosystem functions. One such process is tree mortality [5]. Despite its ecological importance, tree mortality remains poorly understood due to the complex interactions of underlying physiological causes with environmental conditions [6, 7]. Tree mortality is further complicated by interactions among trees and their natural enemies such as phytophagous insects and fungal pathogens (‘pests’). In some cases, pests benefit directly (e.g., decreased generation times) and indirectly (e.g., increased susceptibility of hosts) from environmental change leading to amplified rates of tree mortality [8, 9]. As a result, pest outbreaks in forest ecosystems have increased due to climate change, atmospheric pollution, species introductions, and land-use change [6, 7, 10, 11, 12, 13, 14].

Pests can impact forests across great spatiotemporal scales, as in the example of multi-decadal, continental-scale bark beetle epidemics in North American and European conifer forests (Fig. 1a) [15, 16]. Pest occurrence patterns are often dictated by landscape features (Fig. 1b, c) [17], yet much of the foundational knowledge of forest pest dynamics is derived from studies of localized interactions among trees and pests over short timespans. Scaling this knowledge to the landscape level remains a great challenge, requiring the application of a landscape ecological approach to forest pathology and epidemiology (Fig. 2) [17, 18, 19]. Here, I review recent research, primarily from coniferous forests, linking landscape features to pest dynamics. Further, I consider the importance of interactions among landscape features and climate/atmospheric change, and the influence of host-tree phenotypes on pest dynamics. I use three case-studies to illustrate the complexity of landscape influences on pest dynamics. The first two draw upon disparate examples of an active-dispersing, native moth (jack pine budworm, Choristoneura pinus) that prefers to attack one species of pine versus a passively-dispersed, introduced fungal-pest (white pine blister rust, Cronartium ribicola) that can infect all species of the pine subgenera Strobus. The third case-study takes a broader view of several genera of native bark beetles that collectively represent a guild of pests affecting numerous tree species of the family Pineaceae. I conclude with a conceptual framework for linking pest traits to the relative influence of landscape features on forest pest dynamics.
Fig. 1

Tree mortality from pests can occur over large spatiotemporal scales with variable influences of landscape features. Insect epidemics have affected millions of hectares of forests in temperature regions as in the case of the mountain pine beetle (Dendroctonus ponderosae) damage (red trees on the far valley slope) in northern Colorado, USA, shown in panel (a) (photo has been altered for increased color saturation to enhance visibility of dead trees). Tree genotypes and phenotypes, illustrated on a small scale in panel (b) with variable leaf change rates on different aspen (Populus tremuloides) clones, are frequently spatially arranged on the landscape in relation to various features/processes with important consequences for forest pest dynamics. Forest pests can also be impacted by forest stand position on the landscape. For example, position in relation to elevation, aspect, and latitude can dramatically influence climate as demonstrated by the elevational-temperature cline and shift in tree cover on northern versus southern aspects of montane valleys in panel (c)

Fig. 2

Conceptual diagram of the interactions among landscape factors (top panel), forest-pest populations (lower left panel), and their primary host species (lower right panel). Landscape factors with clear influences on biotic interactions include, but are not limited to: (1) topographical and geographical effects on local/regional climates and abiotic environments, (2) variation in edaphic properties that can affect forest stand structure and tree health, (3) formation of natural barriers or connections which influence the movement of organisms, and (4) legacies of past forest disturbances

Throughout this review, I use the word ‘landscape’ to refer not only to physical and spatial features and patterns, but also in reference to the mosaic of ecological and evolutionary processes that shape pest-host interactions. Indeed, pests and their tree hosts are increasingly demonstrated to be locally adapted to environmental pressures while still possessing traits linked to their deeper evolutionary and biogeographical history [20, 21, 22]. As a result, variation in host phenotypes are often distributed in spatial patterns discernible via landscape genomics, making them features of the landscape affecting forest pest dynamics [22, 23].

Pests and Landscape Features at Multiple Scales

The success of pests depends upon finding suitable hosts within environments conducive to reproduction and survival [17, 18]. As a result, the realized ranges of forest pests are often smaller than the full range of their hosts [8, 17]. These mismatches are often dictated by landscape features which becomes apparent in spatiotemporal patterns of pest occurrence [17]. A number of abiotic and biotic landscape features have been linked to forest-pest dynamics. These features interact to create a complex and temporally dynamic mosaic of pest outbreak risk. Considered at small to large scales these factors range from variation in host-tree phenotypes, to local edaphic properties (e.g., soil texture, depth, moisture), forest stand attributes (e.g., tree composition, density, stand size, fragmentation, isolation, ratio of edge to interior), topographical characteristics (e.g., slope, aspect, and elevation), up to regional effects of climate and land-use history. Physical aspects of the landscape can affect pest distribution, particularly those features that impede pest movement such as mountain ranges, bodies of water, or areas lacking a sufficient number of host trees [17, 18, 19]. In the case of exotic pests, locations with higher introduction rates, such as key shipping harbors, can lead to spatially aggregated ranges as illustrated by the higher concentration of exotic forests pests linked to points of entry in the northeastern USA compared to the rest of the country [24].

Within forest stands, tree species composition, abundance, and diversity can have dramatic influences on pest dynamics. High tree diversity or just the presence of particular species of non-host trees at threshold abundances can disrupt host selection of insect pests by complicating chemical signals used as cues for locating hosts [25, 26, 27, 28, 29, 30, 31]. Tree composition can also play a role in pest dynamics that is independent of species diversity and density. For example, the spread of beech bark disease (a pest-complex of the introduced scale insect Cryptococcus fagisuga and one of two canker fungi) in the eastern USA does not appear to be linked to overall density of American beech (Fagus grandifolia), but infections are more common in stands where beech is the dominant species [32].

Host tree density has long been assumed to be a dominant driver of pest outbreaks, particularly within conifer forests where high tree density can lead to increased mortality during bark beetle epidemics [33, 34, 35, 36]. Tree density can also affect defoliating insects on hardwoods. For example, higher host density promotes faster population growth and shorter intervals between gypsy moth (Lymantria dispar) outbreaks [37]. However, the influence of tree density on overall mortality risk from all sources in a forest stand may vary across environmental gradients, such as elevation, as illustrated in California’s Sierra Nevada mixed conifer forests where high density stands suffer lower mortality at higher elevations, but greater mortality at lower elevations than low density stands [14]. Globally there appears to be an elevational gradient in cycles of defoliating insect pests in hardwood forests, even over relatively modest elevational ranges (≤500 m), whereby mid-elevations suffer more frequent outbreaks [38]. This gradient has been linked not only to mid-elevational peaks in host tree density, but also to shifts in natural enemy abundance patterns and changes in leaf quality across elevation [38, 39]. However, further efforts to unravel the interactive effects of tree density and species composition is warranted, as studies across environmental gradients remain rare, but are much needed to shed light on the effects of environmental change on forest ecosystems.

Landscape factors such as soil characteristics, topography, elevation, and overall position strongly influence tree species distributions and abundances—attributes of stand structure that play an obvious role in pest outbreak risk and movement [17, 30]. For example, survival of larval pine processionary moths (Thaumetopoea pityocampa) is linked to characteristics of the soils in which they pupate [40], making soil properties an important influence on defoliation risk over time. Spatial patterns in forest stand structure due to historical land-use, variable disturbances effects (e.g., fire intensity across slopes and aspects), and forest responses to management over time (e.g., rates of regrowth, changes in species abundance patterns) can have strong legacy effects on pest dynamics. For example, many pests are influenced by levels of forest fragmentation, stand size, patch arrangement on the landscape, and the ratio of edge to interior area—all of which are shaped by disturbance and management legacies at both spatial and temporal scales [41, 42]. Forest fragmentation and regrowth generate complex spatial and age structures among stands, thereby promoting outbreak patterns in relation to the physical arrangement and age of trees found within forest stands [30, 43, 44]. Further, stand arrangement and topography play important roles in the spread of pests, as seen in the influence of spatial proximity to rivers and streams on the spread of Phytophthora ramorum, the causal agent of sudden oak death (SOD), in tanoaks (Notholithocarpus densiflorus) of Oregon, USA [45]. Also, during outbreaks of larch budmoths (Zeiraphera diniana), traveling waves of dispersing moths form in relation to landscape spatial attributes, with subsequent direction and rate of spread determined by the size of obstacles to movement (e.g., areas with little to no suitable habitat) and connectivity of suitable habitat [46, 47].

Landscape Interactions with Climate and Atmosphere

Forest location on the landscape in relation to physical features can have substantial influence on pest populations, often through landscape interactions with atmospheric conditions. These interactions not only affect local environments, but also rates of climate change and deposition of airborne pollutants which can affect pest populations via impacts on their physiology and ranges, or through impacts on host trees. For example, in managed tree line forests of the Swiss Alps, mortality of Swiss pine (Pinus cembra) from infections by the pathogenic snow fungi Gremmeniella abietina and Phacidium infestans increase with later snow melt and earlier snow melt, respectively, with melt date linked to natural variation in site topography, aspect, and elevation [48]. Landscape position can influence concentrations and deposition of atmospheric pollution through effects of elevational and urban–rural gradients which in turn generates gradients in host tree susceptibility to pests. For example, elevational gradients in ozone concentration and levels of nitrogen deposition strongly affect pine tree mortality from bark beetles in forest stands of the San Bernardino Mountains which are downwind and upslope of Los Angeles, California, USA [49]. These gradients can be significant as evidence indicates that increasing temperatures can interact with atmospheric concentrations of CO2 and ozone (O3) to either increase, or decrease the outbreak risk of defoliating insects depending on moderating effects of host-tree defensive-chemistry [12]. Finally, pest dispersal among host populations can be influenced by local and regional wind patterns, effectively creating higher and lower risk stands through wind effects on the direction and rate of pest movement [30, 50].

Influences of landscape features on pest dynamics through impacts of weather and climate are illustrated by the role of historical climate patterns in dictating forest pest range limits at higher elevations and latitudes. [6, 7, 51, 52, 53]. Importantly, warming temperatures and drought are not felt evenly across the Earth’s surface, a situation directly linked to complicated effects of landscape features on local to global climate. For example, an equivalent amount of atmospheric warming across elevational and latitudinal gradients translates into a greater proportional change when comparing low versus high latitudes/elevations, as illustrated by stronger responses of the mountain pine beetle (Dendroctonus ponderosae) to changing climates at higher elevations and latitudes [8, 11, 52, 53]. Given the pervasive nature of climate change, and the severity of climate model predictions for many forested regions, there is a pressing need to fill significant gaps in our understanding of how global change factors will interact with landscape features to affect forest pest dynamics at multiple spatiotemporal scales [7, 8, 9]. Climatically-driven mismatches in the ranges and phenology of host trees and pest, or strong climatic limitation on the development and survival of pests are common mechanisms excluding pests from portions of their hosts’ ranges [54]. As global climate change alters the strength of these mechanisms in complex ways, numerous forest insects and pathogens have expanded their ranges into higher latitude and higher elevation forests with negative consequences for their tree hosts [6, 7, 8, 9, 10, 11, 12, 52, 53, 55]. For example, sub-Arctic birches (Betula spp.) have been subjected to recent bouts of high-intensity defoliation from several Geometrid moth species that have expanded their ranges as warming temperatures allow for synchrony between moth and leaf development [55].

Currently, the likelihood of pest range expansion and outbreaks are commonly assessed via climate-based models utilizing anticipated changes in temperature (e.g., [52]). While this is indeed a useful approach, it can fail to capture additional controls on pest species’ ranges and movement such as shifting precipitation patterns, interactions with competitors, pressures from natural enemies, host tree health, and dispersal polymorphisms that can slow niche tracking—factors that greatly influence pest establishment and responses to environmental change [56, 57]. Also, climate change will not only impact pest development and survival, but will also increase environmental stresses on trees, particularly in relation to landscape features that amplify warm, dry conditions such as: rain-shadows, sun-exposed aspects, well-drained soils and slopes, and lower elevation/latitude extents of ranges [7, 8, 9, 10, 11, 12, 13, 58, 59, 60]. For example, rates and severity of mortality of quaking aspen trees (P. tremuloides) due to damage from Trypophloeus populi (aspen bark beetle), Agrilus liragus (bronze poplar borer), and Cytospora fungi are greater on southerly slopes and in lower elevational stands of southwestern USA [61, 62]. At the same time, spatial similarity in annual precipitation patterns can influence the risk of pest infestations, as in the example of gypsy moth (L. dispar) outbreak synchrony with regional precipitation of northeastern USA hardwood forests [63]. Finally, additional global change factors can simultaneously promote novel disturbance regimes (e.g., invasive annual grasses increasing fire risk) and novel biotic interactions with exotic forest pests [6, 7, 8, 52, 53]. These factors are certain to interact with landscape features and processes generating a complex array of pest outbreak risk that will require extensive cross-scale, interdisciplinary investigation.

Tree Phenotypes as Landscape Features

Both deciduous and coniferous trees can possess formidable defenses or resistance mechanisms that enable some individuals to withstand damage from natural enemies even during severe pest epidemics [64, 65, 66, 67, 68, 69, 70, 71, 72]. Mounting evidence verifies that tree defenses are genetically controlled and shaped by selection pressures adapting trees to local conditions [73, 74, 75, 76, 77, 78, 79]. Thus, a range of abiotic and biotic interactions, including pest activity, can exert strong selection on spatial patterns of tree phenotypes not only within stands, but also at continental scales [64, 68, 69, 72]. These patterns, both contemporary and historical, shape pest evolution and behavior with consequences for their population dynamics. At the same time, genetic and environmental influences often interactively determine tree defenses [73, 74, 76], and some pest species are greatly influenced by host defenses while others are more strongly influenced by environmental conditions. For example, gall-forming aphids of the genus Adelges were more strongly influenced by tree genetics, while those of the genus Sacchiphantes were more strongly influenced by environmental factors when attacking Norway spruce (Picea abies) in common gardens in different climatic zones of Sweden [75]. Pests can also rapidly adapt to their natal host tree phenotypes, resulting in poor fitness on alternate hosts or even on genetically differentiated hosts of the same species reducing rates of spread or host switching (e.g., [80]).

Variation in tree defenses at a landscape scale are often associated with resource gradients or environmental characteristics such as local soil properties [73, 74, 75, 76, 81]. As a result, variation in abiotic properties can generate striking patterns in host susceptibility when viewed across climatic and edaphic gradients associated with landscape features [73, 74, 82]. For example, factors affecting tree growth rates, such as nutrient or water availability linked to topographic features and position have been repeatedly shown to influence anti-pest defenses, as illustrated by slower growing and drought-stressed pines producing fewer resin ducts throughout their stems, increasing their susceptibility to bark beetles [64, 68, 71, 82, 83]. Historical disturbance regimes can also influence contemporary levels of tree defense against pests. For example, higher historical frequencies of low intensity fires are correlated to greater resin duct defenses in ponderosa pines (Pinus ponderosa) of the Rocky Mountains, USA [71]. Strikingly, the combined influences of pest communities, resource gradients, and historical disturbance regimes are hypothesized to have led to phylogenetically conserved differences in tree defenses at continental scales. For example, high latitude and Nearctic species of pines (Pinus) have greater levels of constitutive defenses compared to their lower latitude and Palaearctic counterparts [84, 85], while oaks (Quercus) display a global pattern of decreasing defenses with increasing latitude (i.e., less defenses in colder locations) [86].

Defenses within individual trees can change over time in relation to tree ontogeny and physiology, generally leading to greater susceptibility to natural enemies as trees age with some exceptions. Changes in defenses with increasing age have also been reported to occur within tissues of the same tree—e.g., older stem material (trunk) is less defended against pests than younger stem material (mid- to upper-stem) in lodgepole pines (Pinus contorta) [87], while needles on white spruce (Picea glauca) tend to grow more defended with age [88]. When forest stands are viewed collectively across larger spatial scales, age-related changes in defenses against pests lead to spatial patterns in stand-level susceptibility across different disturbance and management histories [30, 42]. Thus, understanding the complexity of pest dynamics requires efforts to unravel the controls on tree defenses and host selection, along with linking forest pathology to landscape factors varying on temporal scales (Fig. 3).
Fig. 3

Landscape features influence tree stress, potentially increasing interactions with pests that advantageously attack stressed hosts, and generating spatially aggregated patterns of pest activity. For example, trees on southern aspects and well-drained slopes often experience drought stresses before trees growing in areas less prone to amplify drought conditions. Here, remote LIDAR-hyperspectral imaging shows patterns of (a) mixed-severity and (b) high-severity drought stress related in part to slope and aspect variation within forests of the Sierra Nevada, California, USA (image courtesy of Greg Asner). Darker red indicates trees experiencing greater drought stress, while green and blue colors indicate healthier trees

Beyond tree defenses, variation in tree phenotypic traits can result in different responses to stresses within and among tree species with cascading consequences for susceptibility to pests and disturbances [21, 89]. Adaptive phenotypes arise in response to landscape features as illustrated by the contrasting drought-response strategies of redwood species growing across precipitation gradients [90], and by large latitudinal gradients in cold tolerance of tree species in North American forests [3]. Also, several widespread and ecologically important tree genera (e.g., Populus, Quercus) vary in ploidy (chromosome sets per cell) across environmental gradients [61]. Variation in ploidy of trees and herbaceous plants has been linked to differences in niche breadth, drought tolerance, anti-herbivore defenses, and adaptability to environmental change [91, 92, 93]. For example, triploidy in quaking aspens (Populus tremuloides) appears to adapt trees to warmer landscape positions, but may also predispose trees to environmental stress and pests as illustrated in areas experiencing rapid aspen mortality [61]. Understanding the influences of tree phenotypic traits on pest dynamics will require greater application of continually advancing genomic approaches at a landscape scale.

Case Study 1: Jack Pine Budworm

Jack pine budworm (Choristoneura pinus pinus) is a native moth that primarily defoliates jack pine (Pinus banksiana) during its larval stage. The value in taking a landscape approach to understanding budworm outbreaks is found in studies considering the influence of ratios of forest edge to the interior area of stands of the North American Great Lakes region. Viewed at smaller spatial/temporal scales, there appears to be both a positive and negative effect of increasing edge-area ratios on budworm defoliation of jack pines. When examined over a range of stand structures and a longer time span, a shift in edge to area effects on budworm activity over the temporal course of outbreaks explains these competing patterns [94]. Further, this shift in edge effects is driven in part by budworm preference for host trees with greater abundance of male (pollen) cones than those trees with a greater abundance of female cones—a finding that illustrates the strong mechanistic role of selection on host phenotypes and forest stand structure at larger spatial scales. In this case, the distribution of pine tree phenotypes that are preferred by budworms are not randomly distributed within forest stands during or after jack pine budworm outbreaks. Instead, pines are found structured within stands in relation to the interactions among insect outbreak history, stand age (older trees produce more pollen cones), and synchronized spatial patterns of pollen cone production across the landscape [95].

Case Study 2: White Pine Blister Rust

Landscape features have been repeatedly implicated in the likelihood of infection and tree mortality by the introduced fungal-pathogen white pine blister rust (Cronartium ribicola) in North American five-needle pines (subgenus Strobus). Blister rust infection appears to be related to biophysical factors, such as seasonal weather and temperature difference related to mountain topography [96]. Mortality from blister rust is greater in islands of conspecific trees (low species diversity) growing in wetter microclimates, but also on steep slopes exposed to high winds—likely due to higher passive dispersal rates onto these slopes [34, 96, 97, 98, 99]. When viewed at a larger scale, the location of these topographic microsites with higher risk of blister rust infection also depend on regional climate, possibly due to physiological differences dictating realized niches across genetically variable populations of blister rust. For example, greater rates of infection have been found on both south- and north-facing slopes to the east and west of the Continental Divide, respectively [34, 96], and at cooler, higher latitudes in the Great Lakes Region [97]. Additionally, rust-resistant phenotypes are present in various five-needle pine species. While these phenotypes tend to occur at relatively low abundances, their frequency within populations changes across the landscape, with overall susceptibility to blister rust varying at latitudinal and longitudinal scales. Resistant phenotypes remain under intense investigation, but at present geographical patterns suggest a positive association among rust resistance and drought tolerance suggesting the possibility of enhanced resistance in trees adapted to dry sites [100].

Case Study 3: Bark Beetles

Large, multiyear epidemics of bark beetles have increased rates of tree mortality across European and North American forests [15, 16]. While bark beetles of the genera Ips, Dendroctonus, and Scolytus have received a large amount of research, the landscape scales of recent epidemics have led to a much improved understanding of their spatiotemporal spread. At local scales, bark beetles selectively attack less defended trees [64] and following host selection are unable to kill trees with greater numbers or sizes of resin ducts [68, 71]. Beetles are also unable to successfully mass attack trees that have little bark texture which acts as an anatomical defense mechanism [69]. Tree defenses are controlled through a combination of growth traits, edaphic factors, and genetics [73, 74, 77, 82] which are strongly influenced by landscape features. Forest stand structure is a strong determinant of bark beetle outbreak risk [33, 101]. For example, activity of the mountain pine beetle (Dendroctonus ponderosae) is greater in fragmented forest stands in early temporal stages of outbreaks, while more continuous forest stands become infested as beetles reach epidemic levels. Across forests, host-tree basal area and age have been linked to the likelihood of bark beetle infestation. For example, greater pine tree basal area was a strong predictor of D. ponderosae outbreaks of the Rocky Mountains, USA [34, 35] and the occurrence of various bark beetle species in pines and firs of the Sierra Nevada, California, USA [36]. Similar effects of basal area and tree size have been reported for Ips typographus outbreaks in spruces of European forests [101, 102, 103]. Forest stand aspect, slope, and elevation influence bark beetle activity and outbreak risk, with apparent variation in the effects of these variables over the course of Ips typographus outbreaks [101]. Finally, at very large spatiotemporal scales, bark beetle outbreaks have strong correlations to climate trends, specifically spatial patterns of warming [8, 11, 52] and drought that are enhanced by landscape features and position [8, 104].

Conceptualizing Landscape Influences on Forest Pest Dynamics

Our quantitative understanding of pest dynamics at landscape scales has improved rapidly in recent years due to advances in remote sensing technologies (e.g., Fig. 3), genomics techniques, and improved statistical and spatial models. Despite these advances, global change pressures are increasingly interacting with landscape features to alter an already complex mosaic of pest-outbreak risk and tree mortality (Figs. 1, 2, and 3). These complexities have the potential to make associations among landscape features and pests seem highly idiosyncratic when considered across pest-host groups with divergent functional and life history traits. This issue can complicate our ability to interpret how landscape features influence forests pests and lead to uncertainty and difficulty in generalizing findings across studies and spatiotemporal scales. As a step toward resolving this complexity, I offer a conceptual framework aimed at understanding how pest functional traits influence landscape-scale dynamics independent of environmental and land-use transitions (Fig. 4).
Fig. 4

A conceptual model linking pest traits to their hypothesized effects on the relative influence of landscape features on forest pest dynamics (left vertical axis) and the predictability of spatiotemporal patterns of pest activity (right vertical axis). Traits are divided among those with positive associations (i.e., as levels of the trait increase, the influence of landscape features on pest dynamics likely increase) and negative associations (i.e., as levels of the trait increase, the influence of landscape features decrease) with the relative influence of landscape features on pests dynamics. Positive associative traits are shown on the left half of the figure, negative on the right half. Traits shown can interact to increase or decrease the relative influence of landscape features, such that multiple traits from the positive and negative associative groups can be found within the same pest

The relative influence of landscape features on forest pest dynamics and the predictability of spatiotemporal patterns in forest pest populations is dictated by numerous factors (Fig. 4). For example, pests with high dispersal ability and rates are more likely to establish across landscape boundaries than are pests with less dispersal capability, reducing the relative influence of landscape features on their dynamics [17, 18, 19, 45, 46, 47, 57]. Similarly, increasing levels of phenotypic plasticity and greater niche breadth can serve to decrease the influence of landscape features such as climatic gradients and fragmented patterns of hosts by allowing pests to cross environmental conditions and host types [72, 75]. On a longer temporal scale, greater evolutionary potential can also reduce landscape influences on pests by allowing continual adaptation, the generation of cryptic species, or the promotion of wide geographic ranges.

Influence of landscape features on pest dynamics are likely to increase alongside increasing climatic sensitivity and positive density dependence (e.g., Moran effect, allee effect) [10, 63, 83]. Levels of host specificity (i.e., generalists to specialists) can increase the role of landscape features on pests as they track the position of an increasingly constrained group of hosts, while feeding strategies can drive pest responses to landscape scale factors. For example, a meta-analysis of phytophagous insect responses to drought-stressed plants found a majority of insects were negatively impacted by plant water stress [105]. Furthermore, this negative association among plant stress and insect performance occurred across all major feeding guilds with the exception of stem and leaf borers. Not surprisingly, wood and bark boring beetles are often the most destructive forest pests, particularly during drought in temperate forests [15, 16]. However, a limited number of studies of pest responses to drought-stress from forested ecosystems are available, leaving it unclear how insect pests from different feeding guilds or across levels of host-specialization will respond to global change stresses on hosts, particularly in the face of adaptive forest management strategies which are likely to favor some pest feeding strategies over others [106].

Conclusion

Forest pest dynamics are influenced by landscape features and the relationship of these features to forest disturbance legacies and environmental gradients [107, 108]. Thus, we can expect pest activity to grow increasingly complicated with continued species introductions, and climate and land-use change. A pathway toward improved understanding and predictive models of forest pest dynamics likely lies in a framework that incorporates pest species’ functional traits with those of their hosts to allow cross-scale quantification and scaling of pest outbreak risk [109]. Ideally this framework will grow increasingly empirical, utilize genomic-based trait information, and focus on testing explicit hypotheses regarding causal linkages among pest traits and their outbreak risk in relation to landscape features. Some of these traits, such as dispersal rates and climatic sensitivity, are already commonly used in models of pest dynamics with great success [37, 38, 41, 42, 47, 50, 52, 57, 63]. However, exploring additional influence on pest dynamics is a key for increasingly accurate, cross-scale predictions of both pest risk and tree susceptibility in an era of rapid change. Being able to predict the likelihood of mortality at small spatial scales or even individual trees, for example, would be an enormously useful advance in forest management, particularly in forests (e.g., western North American montane and sub-alpine forests) where intervention is currently often limited to mechanical thinning and prescribed fire, increasing the value of targeted modeling approaches for understanding the effects of specific landscape features on the dynamics of forest pests.

Acknowledgments

I thank Phil van Mantgem, Jeffry Mitton, and Akasha Faist for comments on early drafts, and Mark Norris and one anonymous reviewer for insights that improved this review. I am indebted to Greg Asner for contributing aerial hyperspectral images and Jeffry Mitton for landscape photos used in figures.

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Conflict of Interest

The author states that there is no conflict of interest.

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.Department of Ecology and Evolutionary BiologyUniversity of ColoradoBoulderUSA
  2. 2.Southwestern Biological Science CenterU.S. Geological SurveyMoabUSA

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