Blog List

Sunday 17 July 2016

Considerations for restoring temperate forests of tomorrow: forest restoration, assisted migration, and bioengineering

Author
  • Mary I. Williams
  • John A. Stanturf
  • J. Bradley St. Clair
Abstract

Tomorrow’s forests face extreme pressures from contemporary climate change, invasive pests, and anthropogenic demands for other land uses. These pressures, collectively, demand land managers to reassess current and potential forest management practices. We discuss three considerations, functional restoration, assisted migration, and bioengineering, which are currently being debated in the literature and have the potential to be applied independently or concurrently across a variety of scales. The emphasis of functional restoration is to reestablish or maintain functions provided by the forest ecosystem, such as water quality, wildlife habitat, or carbon sequestration. Maintaining function may call upon actions such as assisted migration—moving tree populations within a species current range to aid adaptation to climate change or moving a species far outside its current range to avoid extinction—and we attempt to synthesize an array of assisted migration terminology. In addition, maintenance of species and the functions they provide may also require new technologies, such as genetic engineering, which, compared with traditional approaches to breeding for pest resistance, may be accomplished more rapidly to meet and overcome the challenges of invasive insect and disease pests. As managers develop holistic adaptive strategies to current and future anthropogenic stresses, functional restoration, assisted migration, and bioengineering, either separately or in combinations, deserve consideration, but must be addressed within the context of the restoration goal.

Introduction

Tomorrow’s forests are under extreme pressures from anthropogenic activities. Anticipated (and unanticipated) changes to forested landscapes will require land managers to consider a broad range of management options, some of which are perceived controversial by some because they often challenge current forest restoration paradigms (Stanturf et al. 2014a). In this paper, our objective is to present some of the challenges that managers of temperate forests are facing and examine three potential management actions (functional restoration, assisted migration, bioengineering) that have been the recent focus of reviews (functional restoration: Stanturf et al. 2014a; assisted migration: Williams and Dumroese 2013) or restoration models (Jacobs et al. 2013) and that managers may possibly use to mitigate these adverse effects on tomorrow’s forests. We discuss how they are justified and how they might be applied depending on the context of the restoration, either independently or concurrently at the same or different scales. In addition, we provide an example of how these concepts could be considered and applied within a contemporary restoration scenario.

Challenges
During the past three centuries, the planet has undergone dramatic anthropogenic changes (Ellis 2011) and this trend continues. The current annual rate of forest conversion (deforestation) is estimated at 13 million ha per year (FAO 2010). Perhaps more insidious, however, is the chronic degradation of forests, where the addition of new disturbances leads to loss of biodiversity that reduces ecosystem response to perturbations, destabilizes the system, and ultimately leads to a loss of function (Hooper et al. 2005). Therefore, a chief challenge to forestland managers is conserving genetic resources within and among species (St. Clair and Howe 2011) on the world’s 2 billion ha of degraded forests (Minnemayer et al. 2011).
Forest degradation has causes that vary by biome and social governance structures. In the tropics, exploitive logging and agricultural encroachment are primary drivers whereas in temperate forests many biotic and abiotic stressors are involved, including fire suppression and invasive pests. Climate change, in terms of higher temperatures, altered precipitation, and more frequent extreme events are global threats to forests. Projections that estimate the world population will increase from its current 7 billion to between 9.7 and 12.5 billion by the end of this century (Fig. 1) indicate the largest population gains will be coincidental where forests are abundant (United Nations 2012). Commensurate with population growth is the expansion of international trade, which has increased 27-fold during the past 65 years (WTO 2014). Globally, areas with high human activity and international trade tend to host more invasive forest pests (Roy et al. 2014). Indeed, the numbers of nonindigenous insects and diseases introduced into forests in North America and Europe have increased dramatically during the past century (Fig. 1) and some pests have caused considerable damage to tree species (Aukema et al. 2010; Santini et al. 2013). In the temperate forests of southwest Australia, a single introduced species, Phytophthora cinnamomi, is infesting native trees, causing significant direct and indirect changes to the ecosystem and pushing several rare taxa to extinction (Shearer et al. 2007). This same pathogen, introduced into southern Europe, is responsible for the decline of Quercus species (Brasier 1996). In the U.S., an average of 2.5 new pests arrives annually, with a high impact pest arriving every other year (Aukema et al. 2010). Worldwide, the number of such introductions is expected to climb (Fisher et al. 2012).
https://static-content.springer.com/image/art%3A10.1007%2Fs11056-015-9504-6/MediaObjects/11056_2015_9504_Fig1_HTML.gif
Fig. 1
Since 1880, global population (a Goldewijk 2005), world trade (b WTO 2014), and the number of introductions of fungal pathogens into Europe (c Santini et al. 2013) and insects and diseases into the U.S.A. (d Aukema et al. 2010) have all increased exponentially, putting extreme pressure on the world’s forests
Changes in climate are increasing the likelihood, frequency, and intensity of extreme weather events, such as heat waves, cold snaps, floods, and drought (Walsh et al. 2013). Where forests remain, many tree species and populations may not be able to adapt or migrate fast enough to changes in climate (Zhu et al. 2012; Gray and Hamann 2013). Climate projections indicate trees must migrate more than 3000 m per year, far exceeding their observed annual rates of less than 500 m (Davis and Shaw 2001; Aitken et al. 2008). In North America, populations are already lagging 130 km in latitude, or 60 m in elevation, behind their optimal climate niche (Gray and Hamann 2013). Although less fragmented forests are thought to have an advantage in keeping pace with climate change (Loarie et al. 2009), climate change-induced forest mortality caused by heat and drought may already be a global phenomenon (Allen et al. 2010). Heat waves will be a common occurrence (Karl et al. 2008) contributing to drought and wildfires (Trenberth 2011). Planting the standard species in regions highly sensitive to climate change may be unwarranted (Hebda 2008), given that reductions in fire frequency from 100–300 years to 30 years, for example, have the potential to quickly shift some North American forest systems to woodlands and grasslands (Westerling et al. 2011), thereby reducing the availability of genetic resources needed to adapt or move. Furthermore, forest pests may be encouraged by shifts in climate (both by more favorable conditions for the pest and less favorable conditions for tree growth) resulting in landscape-scale tree mortality (Logan et al. 2003; Lindner et al. 2010). By 2100, an estimated 55 % of landscapes in the western U.S. may exhibit climates that are incompatible with vegetation occurring there today (Rehfeldt et al. 2006); similar scenarios are possible for Europe (Lindner et al. 2010) and these changes are projected to have severe economic consequences (Hanewinkel et al. 2013).
Climate change effects might be so abrupt that management options will be limited, even within a species’ current range. Notwithstanding, plant survival may be determined more by availability of suitable recipient ecosystems (Aubin et al. 2011), the existence of landscape connections needed for plants to move (Hannah 2008), and the intensity of insect outbreaks (Logan et al. 2003; Bentz et al. 2010). Outbreaks of Dendroctonus ponderosae (Coleoptera: Curculiondae) in Pinus contorta forests, for example, are accelerated by warm temperatures and low precipitation to such an extent that even changes in management cannot curtail its impact (Regniere and Bentz 2008). Similarly, increases in the activity of insects and diseases are predicted for Europe’s temperate mountain ranges (Lindner et al. 2010). Even for forests projected to have increased productivity under future climate (Lindner et al. 2010), anthropogenic disturbance is expected to increase (Ellis 2011).

Meeting the challenges
Functional restoration strives to bring back or improve a condition in which the regular function(s) that contribute to a forested system are present (see review by Stanturf et al. 2014a). A defining feature of functional restoration is its focus on what a forest provides rather than on what particular species compositions and structures formerly were present. This may involve redirecting existing human-altered forests to a more useful composition or structure through typical silvicultural treatments (e.g., thinning, reintroducing natural fire regimes, or interplanting desired species), or more strident treatments, such as those found on drastically altered sites resulting from resource extraction (e.g., mining or petroleum production). Although a late seral, complex structure and its functions are often the restoration goal (Stanturf et al. 2014b), maintaining specific functions may require maintaining or moving a forest toward an earlier, open, seral structure. The emphasis of functional restoration is that a change in condition to ensure function is more important than matching an historical reference condition—function, rather than legacy or integrity of a former forest stand condition defines success. And the value of each function, and the restoration effort to achieve it, is driven by societal as well as biological criteria (Stanturf et al. 2014a).
Strategies used to address functional restoration can be rehabilitation, reconstruction, reclamation, or replacement (Stanturf et al. 2014b). Reviewed in Stanturf et al. (2014b), these terms, while not used with consensus, logically reflect the level of restoration required across a continuum from low to severe degradation. Functional restoration can be achieved using a variety of silvicultural treatments at various scales.
Although restoring to a legacy or reference condition is not a tenet of functional restoration, restoring ecosystem function based on an understanding of contemporary reference conditions is a viable starting point for maintaining response options that facilitate the transition of forests to future climate conditions (Millar et al. 2007). On one hand, it may be that minor species in the forest may become more prominent. For example, Acer rubrumoccurs in many current forest ecosystems of the Great Lakes region in North America, but generally at low abundance (e.g., Seymour 1992); climate niche-models, however, predict increasing habitat suitability and importance under even the most extreme emissions scenarios (Iverson et al. 2004). Thus, employing silvicultural treatments that ensure a currently minor species such as Arubrum continues to be present in ecosystems where it occurs naturally can help transition forests to future conditions. On the other hand, maintaining forest function may require replacement of the native genotypes of a species with those more adapted to the future climate (e.g., assisted population migration; see Fig. 3; see Williams and Dumroese 2013; Stanturf et al. 2014a). Classic silvicultural methods and assisted migration build on the dynamic properties of forest ecosystems to maintain function and provide capacity to adapt favorably to future climates. Clearly, forest species change locations and in their abundance on the landscape in response to changing climate; movement can be long distance (Ohlemüller et al. 2012) or relative to aspect (Millar et al. 2006) and may occur in unfamiliar ways in the future, highlighting the ever-important need for management strategies that are not founded on maintaining the status quo (Moritz and Agudo 2013).
Assisted migration, the intentional movement of species or populations in response to observed or anticipated climate change (Fig. 2) (Ste-Marie et al. 2011), might be a valuable tool for rare, long-lived, and locally adapted species and populations, especially those threatened by fragmentation and pathogens and with limited adaptation and migration capacities (St. Clair and Howe 2011; Erickson et al. 2012). As discussed earlier, native populations adapted to sites under current climate may become maladapted as changes in climate occur. Assisted migration may be used to ensure adapted populations by countering two limitations of tree migration: long generation cycles and reduced dispersal ability (Potter and Hargrove 2012). Assisted migration can be applied at different scales, including moving populations within a species’ current range, beyond a species’ range proximate a current distribution, or long distances outside its current range (Fig. 3) (Ste-Marie et al. 2011; Winder et al. 2011; Williams and Dumroese 2013). In addition, movements can be geographic (e.g., distance along an elevation gradient), climatic (e.g., change in number of frost-free days along an elevation gradient), and/or temporal (e.g., date when the current climate of the migrated population equals the future climate of the outplanting site) (Fig. 4).
https://static-content.springer.com/image/art%3A10.1007%2Fs11056-015-9504-6/MediaObjects/11056_2015_9504_Fig2_HTML.gif
Fig. 2
The movement of plants has been defined many ways depending on context, from very broad to very narrow applications. The terms “transfer” and “translocation” may be the broadest terms. “Assisted migration,” “assisted colonization,” and “managed relocation” all essentially describe human movement of plants in response to climate change. These three terms can be further subdivided into three additional categories defined by the scale of movement: within the current range (i.e., assisted population migration and similar terms), proximate the current range (i.e., assisted range expansion), and long-distance (i.e., assisted species migration and similar terms)
https://static-content.springer.com/image/art%3A10.1007%2Fs11056-015-9504-6/MediaObjects/11056_2015_9504_Fig3_HTML.gif
Fig. 3
Seed migration can occur as assisted population migration in which seed sources are moved climatically or geographically within their current ranges (shaded), even across seed transfer zones; e.g., moving Larix occidentalis 200 km north within its current range (a). Seed sources can also be moved climatically or geographically from current ranges to suitable areas just outside the range to assist range expansion, such as moving seed sources of Pinus ponderosa from British Columbia into Alberta, Canada (b). For assisted species migration, species could be moved far outside current ranges to prevent extinction, such as planting Torreya taxifolia in states north of Florida where it naturally occurs (c). (Terms from Ste-Marie et al. 2011; Winder et al. 2011; Williams and Dumroese 2013; maps adapted from Petrides and Petrides 1998; Torreya Guardians 2015)
https://static-content.springer.com/image/art%3A10.1007%2Fs11056-015-9504-6/MediaObjects/11056_2015_9504_Fig4_HTML.gif
Fig. 4
Assisted migration can be performed along an elevation gradient. In this example, assisted migration of Abies religiosa 275 m upwards in altitude may be necessary to mitigate changes in climate so that this species can continue to provide its function as an overwintering host for Danaus plexippus. Adapted from Sáenz-Romero et al. (2006)
By introducing adapted plant materials, assisted migration has potential to promote resilience to change and/or ease habitat transitions already occurring and realigning systems where resources are severely degraded or fragmented (Millar 2014). Assisted migration is beginning to find its way into climate change adaptation plans (e.g., IPCC 2014) although consensus about its implementation is hampered by research and conservation challenges, existing management policies, uncertainty about future conditions, and non-standardized terminology (Hewitt et al. 2011). Assisted migration terminology, like that of restoration (see Stanturf et al. 2014a) becomes unwieldy because universalism in definitions is trumped by historical use within various disciplines and creation of context-base descriptions (Fig. 2). Although no explicit solution exists for this, remaining mindful to discuss assisted migration within the context of the restoration goal should support better communication among scientists and among scientists, land managers, and the public.
Seed sources will need to remain matched to the climates of the next decade or two in order to ensure survival and growth. Such movements are within current management practices for movements within seed zones in the U.S.; for example, average transfer distances within Pseudotsuga menziesii seed zones in western Oregon and Washington are 2.2 °C (Kilkenny and St. Clair personal communication). Such short-scale movements could be employed to buffer uncertainty regarding the amount of climate change in an area by improving gene flow among populations through planting more diverse seed sources, both within and among forest stands (O’Neill et al. 2008; St. Clair and Howe 2011), realizing that an understanding of levels and distances of gene flow and the structure of genetic variation across the landscape is necessary so that promoting future adaptation through outplanting is balanced with potential loss of genetic variants and existing genetic variation within nearby stands (St. Clair and Howe 2011; Aitken and Whitlock 2013). Eventually, shifting climates may render current species or populations maladapted, as predicted, for example, for Picea abies in the southwestern portion of its current European range (Sykes and Prentice 1996) and for broadleaved species moving northward from temperate European forests to the current boreal forests (Thuiller et al. 2006). This may force managers to plant to increase genetic diversity and the adaptive potential of existing forests (St. Clair and Howe 2011). These interplantings within the landscape matrix of existing forest may be most efficiently established after management or natural stochastic events. Depending on the level of maladaptation, outplanted seedlings could include a mixture of local seed sources and non-local seed sources identified to be better adapted under future climates (on-set of maladaptation) or entirely distant seed sources (well-manifested maladaptation). Given the uncertainty of future climates, combinations of current and future seed sources would provide a “no-regrets” approach (sensu Kates et al. 2012) for land managers; poor performers would be lost through natural selection or silvicultural activities such as thinning. The challenge will be monitoring for maladaptation, defining a threshold for action, identifying the source of new materials, and obtaining appropriate balance in deployed genetic resources.
The approval for testing and conducting assisted migration is likely to be case and region specific. In Canada, assisted migration is being tested and considered for Abies albicaulis(McLane and Aitken 2012) and Larix occidentalis (NRC 2013), both foundation species of commercial importance and hosts to many other plants and animals. In southern Mexico, it has been suggested that seed sources of Abies religiosa be moved 275 m upwards in altitude in order that populations growing 15 years from now would still experience today’s climate (Fig. 4) (Sáenz-Romero et al. 2012) and continue to provide essential overwintering habitat for the charismatic, threatened, international migrant Danaus plexippus (Lepidoptera: Nymphalidae). Similar recommendations are being made for Pinus oocarpa (Sáenz-Romero et al. 2006) and Pinus hartwegii (Viveros-Viveros et al. 2009) in Mexico and Central America. In the U.S., a citizen-driven initiative to save Torreya taxifolia, a southeastern evergreen conifer, from extinction is by planting it well north of its current and historic range (McLachlan et al. 2007; Barlow 2011).
Although early provenance tests were not designed to answer climate change questions per se, they can be reassessed to more effectively deploy provenances on the landscape in response to climate change (Isaac-Renton et al. 2014) and test new concepts, such as central-peripheral gene flow, that may provide another tool for determining proper movement of plant materials (Yang et al. 2015). Climate niche modeling that couples genetic information from provenance tests and common garden studies with climate information in a GIS can be used to identify current and projected distributions (McLane and Aitken 2012; Notaro et al. 2012; Isaac-Renton et al. 2014; Rehfeldt et al. 2014a). Although modeled projections have some uncertainty in future climate predictions and are limited to species for which we have genetic and/or occurrence data along with environmental and climatic information (Park and Talbot 2012), they provide an indication of how climatic conditions will change for a particular site.
Assisted migration undoubtedly disrupts established understandings of natural resource management and long-held views in conservation biology, therefore it must be implemented in a framework that assesses species and population vulnerability to climate change, sets priorities, selects options and management targets, emphasizes long-term monitoring, and adjusts as needed. Adoption requires land managers to balance species conservation against risks posed by introduced species (Schwartz 1994), although this risk may be overstated as few forestry tree species have become invasive (see Koskela et al. 2014). Assisted population migration and assisted range expansion are more likely scenarios than assisted species movement, and the risk of spreading pathogens from transferring seeds is relatively low compared to moving live plants (Pedlar et al. 2012; Santini et al. 2013). Assisted migration should consider the critical, in situ preservation of adapted species and populations at the trailing edges of changing ranges because, compared to leading edge populations, they have unique features that were important for maintenance of biodiversity during previous shifts in climate (Hampe and Petit 2005). Indeed, refugia (i.e., phylogeographical hotspots), areas of “significant reservoirs of unique genetic diversity favorable to the evolutionary process,” have already persisted through repeated episodes of rapid and major environmental change (Médail and Diadema 2009). Although not all current refugia remaining from the Last Glacial Maximum may serve as refugia under contemporary climate change, their persistence on the landscape due to unique circumstances and characteristics of past warming and cooling events makes their identification valuable (Keppel et al. 2012). Indeed, understanding the process likely to produce refugia to contemporary climate change would be a powerful tool in preserving genetic diversity (Keppel et al. 2012).
Biotechnology, a broad and controversial discipline in which biological resources are used to develop products that serve a specific purpose or value, may help to maintain tree species and populations and the functions they provide. In forestry, biotechnology can be designed to meet the needs for a particular species, population, or landscape, for example, to enhance forest regeneration by improving tree population performance (e.g., seedling growth and wood production), conserve genetic resources (e.g., seed, gene, and DNA banks), save foundation species from extinction (e.g., Pinus albicaulis), develop pest-resistant seedlings (e.g., Cronartium ribicola resistance), increase adaptability (e.g., select drought-tolerant seed sources), and identify suitable seed sources via molecular markers. Although traditional breeding and use of biocontrol agents fit broadly into the bioengineering category, we will instead focus in the succeeding paragraphs on a few innovative tools, discuss their potential for addressing tomorrow’s forests, and provide some examples.
In situ and ex situ are two basic strategies for conserving forest genetic resources. In situ conservation of ecosystems and habitats occurs in their natural settings (e.g., protected areas and public and private lands) and ex situ conservation of components (seeds, vegetative materials, and genetic materials) happens outside of their habitat in seed collections or banks (Engelmann 2012). Advances in ex situ technologies make it possible to isolate and store DNA collected from nonviable seed lots and plant parts stored in herbaria and store plant tissues, such as somatic embryos (asexual vegetative tissue) (Ford-Lloyd and Jackson 1991). Slow-growth storage and cryopreservation technologies have opened the door for conserving a variety of plant materials and tree species, including those that do not produce seeds every year, vegetatively propagate, or require long-term storage (Ford-Lloyd and Jackson 1991; Engelmann 2012). Cryopreservation, storage at ultra-low temperatures (−196 °C with liquid nitrogen), may be the only conservation approach for long-term storage of some forest tree species although genetic stability and viral contamination of such materials are a concern (Engelmann 2012). Slow-growth storage and cryopreservation of shoot cultures and buds are being tested for Sequoia sempervirens because it primarily reproduces asexually through shoots and roots (Barbour et al. 2001) and the only existing conserving strategies are in situ (Ozudogru et al. 2012). Cryopreservation also offers the ability to store tissue cultures and clones grown from somatic embryos while testing is performed for the selection of desired traits (e.g., growth and drought-tolerance). Such operations have been established for the commercial testing and production of interior spruce (Picea glauca × Picea engelmannii) in British Columbia (Grossnickle and Sutton 1999). Thus, cryopreservation offers opportunity to store germplasm until it can be used to restore species. For example, in the case of the invasive Agrilus planipennis (Coleoptera: Buprestidae) and its decimation of Fraxinus in North America, cryopreservation is underway to conserve germplasm until sufficient resources become available for traditional or transgenic breeding (see below), and/or biological control of A. planipennis becomes effective.
Biotechnology offers options beyond traditional breeding methods for the conservation and restoration of forest species and populations, such as the use of molecular markers and genetic engineering. Genetic engineering involves the direct manipulation of an organism’s genome, where its DNA has been modified to include a new trait (e.g., pest resistance). Although not yet approved for commercial forest trees in the U.S. (or even conservation and restoration use), genetic engineering techniques are being considered and tested. Applications are under review by regulatory agencies for the release of frost-tolerant Eucalyptus that can sustainably address society’s need for wood in southeastern U.S. (Hinchee et al. 2011). Government approval, however, may first come only for species threatened by pests and pathogens (Adams et al. 2002). Cisgenic (using genes from closely-related or same species) and transgenic (using genes from sexually incompatible organisms) are viable options in a large-scale restoration program to create Castanea dentata trees resistant to Cryphonectria parasitica (Jacobs et al. 2013). The reintroduction of resistant Cdentata may help restore a variety of functions in eastern North American forests absent since its demise, including large and consistent mast crops consumed by humans and wildlife, durable, rot-resistant wood products, and unique decomposition and nutrient cycling traits (see Jacobs et al. 2013). Scientists are using a myriad of complimentary tools including intra- and inter-species breeding for resistance, identification of genes that provide resistance and using them to increase resistance in planting stock, and employing new, large-scale genomic mapping techniques to identify resistance genes in the Asian Cmollissimathat can be introduced to Cdentata through traditional backcross breeding techniques. Success has already been noted for a backcrossed resistant hybrid of Cdentata (Bauman et al. 2014). Molecular techniques including the use of genetic markers, mapping, and genomics have proven useful in understanding the epidemiology of Cronartium ribicola in five-needled pines (e.g., PalbicaulisPflexilis, and Pmonitcola) (Richardson et al. 2010; Kim et al. 2011) and are an important part of the restoration strategy that includes outplanting resistant seedlings (Keane and Schoettle 2011).
In light of increasing pressures on forest ecosystems, reliance on and advancement of ex situ conservation strategies, molecular genetics, genomic studies, and genetically engineered forest materials may increase. Indeed, for tree species and genera disappearing from large extents of eastern North America (e.g., Juglans cinereaFraxinus spp., Persea spp.) or narrowly-distributed, critically-endangered species in Australia (e.g., Eucalyptus recurvaand Lambertia fairallii), effects of introduced pests may render biotechnology as the only viable method for preserving these species and the ecosystem functions they provide. It is unlikely, however, that biotechnological tools will completely replace traditional silvicultural techniques, breeding methods, and conservation strategies in forest management. For example, for Pseudotsuga menziesii populations in Mexico that are projected to face unfavorable climate conditions for growth by 2060 (Rehfeldt et al. 2014a), long-term conservation options, such as slow-growth storage and cryopreservation might be options, but efforts to protect refugia, locate suitable growing sites and seed sources, and collect and store genetic resources should also be in place (Rehfeldt et al. 2014b).

An Illustration
Fraxinus nigra can be used to illustrate how these three considerations may be used in a forest management scenario. This species grows in the northern portions of the eastern and central U.S. and southeastern portions of Canada (Wright and Rauscher 1990). Currently, North American Fraxinus are threatened by Agrilus planipennis (Colepoptera: Buprestidae). So, how might functional restoration, assisted migration, and biotechnology be discussed, individually and in concert, as part of a strategy to maintain the function of forests in which Fnigra is an important member?
In addition to timber products, two important functions provided by Fnigra are its role in regulating the hydrology of wetland forests (see Slesak et al. 2014) and its use in basketry by indigenous people (Diamond and Emery 2011). Use of traditional silvicultural practices to maintain function, such as group selection followed by artificial regeneration of other species native to those sites, would increase site biodiversity and subsequent resilience to ensure hydrological function. During treatment, silvicultural practices that maintain sustainable development of size classes and form desired by indigenous people for their basket making craft would have merit as well. Silvicultural treatments would be monitored and assessed for success.
Although a good first step, the success of the above application of functional restoration might be enhanced by combining it with assisted migration. When engaging in artificial regeneration, species and seed sources anticipated to be adapted to future climate scenarios would be deployed; this could be either population migration and/or assisted range expansion. More southerly seed sources of species already occurring with Fnigra, such as Acer rubrumBetula alleghaniensisPopulus tremuloides, and Ulmus spp. (Iverson et al. 2011), could be moved northward in anticipation of future climate (i.e., population migration) and species, such as Liquidambar styraciflua or Taxodium distichum, not growing in the current range of Fnigra might similarly be moved from the northern limits of their current range and introduced into the southern portions of the range of Fnigra to help fulfil the hydrological role of Fnigra (i.e., assisted range expansion). Unfortunately, none of these species augment or replace the function of Fnigra as a source of traditional basket material.
Despite the best efforts of functional restoration and assisted migration, the rapid expansion of Aplanipennis and nearly complete decimation of Fraxinus in invaded stands indicate it would be prudent to immediately collect and store seeds of diverse populations across the range of Fnigra, especially from individual trees showing potential tolerance or resistance (Simpson 2010). This material could be used now, once biocontrol agents become widespread and efficacious, and/or for traditional or transgenic breeding for Aplanipennisresistance. The scope of such breeding would be dependent on stakeholder priorities, societal and legal acceptance of GMOs (in the case of transgenic work with resistant Chinese Fraxinus (Rebek et al. 2008) or cisgenic work with Bacillus thuringiensis (Pijut et al. 2010)), available funding, and/or the success of deployed biological control agents (another form of biotechnology) to reduce Aplanipennis effects. Resistant material could eventually be deployed to the landscape via functional restoration, perhaps with the movement of southerly sources northward to account for changes in climate (assisted population migration) or northerly sources moved further north into new suitable habitat (assisted range expansion). Together, functional restoration, assisted migration, and biotechnology may offer a more holistic approach to forest management.

Context is important
The appropriate use of functional restoration, assisted migration, biotechnology, and their combinations must be determined within a relevant context. Concerns about invasive species, lack of research, ecological risks, community support, and uncertainty in climate models and with forest tree plasticity in response to climate are not unique to any one approach; all of them have advantages and disadvantages (Table 1), but their relevance, suitability, and applicability should be evaluated within the context of the restoration goal. Our best available tools may not guard against future pests or be of use in novel conditions, and the risk of creating an invasive species through restoration efforts, assisted migration, or reintroduction of native species may occur. The risk of invasion, however, is subject to debate because the definition itself depends upon human perception (Mueller and Hellmann 2008). Some degree of “invasiveness” in an assisted migration effort might be necessary for establishment. Further, the “nativity” of replacement species or germplasm will become increasingly blurred given that the current definition can be vague and dependent on many factors (see Smith and Winslow 2001), including distance from its home range. Therefore, future working definitions of ‘‘native’’ will need to be “scientifically grounded, dynamic, flexible, project specific, realistic,” and, we add, contextual (Shackelford et al. 2013; Stanturf et al. 2014a).
Table 1
Some general advantages and disadvantages of functional restoration, assisted migration, and biotechnology
 
Advantages
Disadvantages
Functional restoration
Focuses on desired functions provided by forests
Applicable across all levels of degradation
Relies mainly on established silvicultural treatments
May more realistically align societal goals with resources available for restoration
Applicable across multiple scales and in combinations with other management options, such as assisted migration and biotechnology
Mandates public involvement in decision making
Reference condition or legacy characteristics may not be final goal
Potential poor public perception when species introductions are needed to achieve function
Potential conflicts/disagreements among the public in defining desired functions
Assisted migration
Assisted population migration can be implemented as part of current artificial reforestation programs; relatively low cost; low risk of unintended consequences; no drastic changes to contemporary forest composition
Assisted range expansion can replace declining species due to climate change with different species anticipated to have better adaptation that are already proximate
Assisted species migration may be only viable method to prevent species extinction; historical long-distance transfers of trees have provided significant increases in productivity
Rapid changes in climate may negate short distance migration efforts
Uncertainty about future climate hampers determining target migration distances; potential unintended consequences to recipient ecosystem, such as adverse effects on other species in the receiving location
Will require significant changes to policy, law, perception before implementation
Biotechnology
Traditional breeding a proven technique; low risk of unintended consequences; often multiple genes in play
Transgenic breeding may significantly reduce time to produce improved material; could work on multiple stressors concurrently
Cisgenic breeding may significantly reduce time to produce improved material; could work on multiple stressors concurrently; potential to modify species for traits not currently residing in them, such as tolerance to drought, salts, herbicides, and pests
May take decades because of slow reproduction of trees
Poor public perception of genetically modified organisms; trans- and cis-genic trees may have less resilience than traditionally bred trees because fewer genes may be involved
Cryopreservation may not work for all species of concern
The complex, multi-faceted decisions on how land managers tend tomorrow’s forests will ultimately be driven by societal values (Ciccarese et al. 2012; Stanturf et al. 2014a). Citizens can be reluctant to accept management strategies involving the manipulation of plant materials through breeding programs, using nonlocal seed sources, genetic modification, and moving seeds outside a species’ range (Hajjar et al. 2014). Further, the current willingness of forestland managers to employ climate change adaptation strategies is contingent upon their confidence that climate change is anthropogenic (Lenart and Jones 2014). Land managers who agree are more likely to undertake less traditional silvicultural aspects of functional restoration (e.g., functional species composition versus legacy species composition) and, for any aspect of assisted migration, they are only somewhat confident in knowing what specific actions to take. For widespread application of any new approach to silviculture in response to climate change, scientists will need to provide managers more definitive, contextually-based evidence of potential benefits and risks (Lenart and Jones 2014); this most likely applies to functional restoration and biotechnology as well. So, while our considerations may be viable options for conserving and restoring some forest tree species and populations, it may be difficult to implement any program without first improving technology transfer, increasing dialogue, and determining which societal values and services forests are to be managed for (Friedman and Foster 1997). After learning more about management strategies and options, the public may be more amendable to alternatives (Hajjar et al. 2014).

Acknowledgements

We thank the Science Committee for the International Union of Forest Research Organizations symposium, Restoring Forests: What Constitutes Success in the 21st Century?, for the opportunity to present our work and for the invitation to submit a manuscript for this special issue; Brian J. Palik, Associate Editor Andreas Bolte, and four anonymous reviewers for thoughtful comments on earlier drafts; Jim Marin for preparing the graphics; and Cuauhtémoc Saenz-Romero for review of Fig. 4. The views expressed are strictly those of the authors and do not necessarily represent the positions or policy of their respective institutions.

References
  1. Adams JM, Piovesan G, Strauss S, Brown S (2002) The case for genetic engineering of native and landscape trees against introduced pests and diseases. Conserv Biol 16:874–879CrossRef
  2. Aitken SN, Whitlock MC (2013) Assisted gene flow to facilitate local adaptation to climate change. Annu Rev Ecol Evol Syst 44:367–388. doi:10.1146/annurev-ecolsys-110512-135747CrossRef
  3. Aitken SN, Yeaman S, Holliday JA, Wang T, Curtis-McLane S (2008) Adaptation, migration or extirpation: climate change outcomes for tree populations. Evol Appl 1:95–111. doi:10.1111/j.1752-4571.2007.00013.xPubMedCentralCrossRefPubMed
  4. Allen CD, Macalady AK, Chenchouni H, Bachelet D, McDowell N, Vennetier M, Kitzberger T, Rigling A, Breshears DD, Hogg EH, Gonzalez P, Fensham R, Zhang Z, Castro J, Demidova N, Limp J-H, Allard G, Running SW, Semerci A, Cobb N (2010) A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests. Forest Ecol Manag 259:660–684. doi:10.1016/j.foreco.2009.09.001CrossRef
  5. Aubin I, Garbe CM, Colombo S, Drever CR, McKenney DW, Messier C, Pedlar J, Saner MA, Venier L, Wellstead AM, Winder R, Witten E, Ste-Marie C (2011) Why we disagree about assisted migration: ethical implications of a key debate regarding the future of Canada’s forests. For Chron 87:755–765CrossRef
  6. Aukema JE, McCullough DG, Von Holle B, Liebhold AM, Britton K, Frankel SJ (2010) Historical accumulation of nonindigenous forest pests in the continental United States. Bioscience 60:886–897. doi:10.1525/bio.2010.60.11.5CrossRef
  7. Barbour M, Lydon S, Borchert M, Popper M, Whitworth V, Evarts J (2001) Coast redwood: a natural and cultural history. Cachuma Press, Los Olivos
  8. Barlow C (2011) Paleoecology and the assisted migration debate: Why a deep-time perspective is vital. http://www.torreyaguardians.org/assisted_migration_paleoecology.html. Accessed 12 Dec 2014
  9. Bauman JM, Keiffer CH, McCarthy BC (2014) Growth performance and chestnut blight incidence (Cryphonectria parasitica) of backcrossed chestnut seedlings in surface mine restoration. New Forest 45:813–828. doi:10.1007/s11056-014-9439-3CrossRef
  10. Bentz BJ, Régnière J, Fettig CJ et al (2010) Climate change and bark beetles of the western United States and Canada: direct and indirect effects. Bioscience 60:602–613. doi:10.1525/bio.2010.60.8.6CrossRef
  11. Brasier CM (1996) Phytopthora cinnamomi and oak decline in southern Europe. Environmental constraints including climate change. Ann For Sci 53:347–358CrossRef
  12. Ciccarese L, Mattsson A, Pettenella D (2012) Ecosystem services from forest restoration: thinking ahead. New Forest 43:543–560. doi:10.1007/s11056-012-9350-8CrossRef
  13. Davis MB, Shaw RG (2001) Range shifts and adaptive responses to Quaternary climate change. Science 292:673–679CrossRefPubMed
  14. Diamond AK, Emery MR (2011) Black ash (Fraxinus nigra Marsh.): local ecological knowledge of site characteristics and morphology associated with basket-grade specimens in New England (USA). Econ Bot 65:422–426CrossRef
  15. Ellis EC (2011) Anthropogenic transformation of the terrestrial biosphere. Philos Trans R Soc A 369:1010–1035. doi:10.1098/rsta.2010.0331CrossRef
  16. Engelmann F (2012) Germplasm collection, storage, and conservation. In: Altman A, Michael-Hasegawa P (eds) Plant biotechnology and agriculture: Prospects for the 21st century. Academic Press, London, pp 255–267CrossRef
  17. Erickson VJ, Aubry C, Berrang P, Blush T, Bower A, Crane B, DeSpain T, Gwaze D, Hamlin J, Horning M, Johnson R, Mahalovich M, Maldonado M, Sniezko R, St. Clair B (2012) Genetic resouce management and climate change: Genetic options for adapting national forests to climate change. USDA Forest Service, Forest Manag, Washington, DC. http://climatechange.ecoshare.info/science-direction/. Accessed 10 Dec 2014
  18. [FAO] Food and Agriculture Organization of the United Nations (2010) Global forest resources assessment. FAO Forestry Paper 163, Rome
  19. Fisher MC, Henk DA, Briggs CJ, Brownstein JS, Madoff LC, McCraw SL, Gurr SJ (2012) Emerging fungal threats to animal, plant and ecosystem health. Nature 484:186–194. doi:10.1038/nature10947CrossRefPubMed
  20. Ford-Lloyd BV, Jackson MT (1991) Biotechnology and methods of conservation of plant genetic resources. J Biotechnol 17:247–256CrossRef
  21. Friedman ST, Foster GS (1997) Forest genetics on federal lands in the United States: public concerns and policy responses. Can J Forest Res 27:401–408CrossRef
  22. Goldewijk KK (2005) Three centuries of global population growth: a spatial referenced population (density) database for 1700–2000. Popul Environ 26:343–367CrossRef
  23. Gray LK, Hamann A (2013) Tracking suitable habitat for tree populations under climate change in western North America. Clim Change 117:289–303. doi:10.1007/s10584-012-0548-8CrossRef
  24. Griffith B, Scott JM, Carpenter JW, Reed C (1989) Translocation as a species conservation tool: status and strategy. Science 245:477–780CrossRefPubMed
  25. Grossnickle SC, Sutton BCS (1999) Applications of biotechnology for forest regeneration. New Forest 17:213–226CrossRef
  26. Hajjar R, McGuigan E, Moshofsky M, Kozak RA (2014) Opinions on strategies for forest adaptation to future climate conditions in western Canada: surveys of the general public and leaders of forest-dependent communities. Can J Forest Res 44:1525–1533. doi:10.1139/cjfr-2014-0142CrossRef
  27. Hampe A, Petit RJ (2005) Conserving biodiversity under climate change: the rear edge matters. Ecol Lett 8:461–467CrossRefPubMed
  28. Hanewinkel M, Cullmann DA, Schelhaas M-J, Nabuurs G-J, Zimmermann NE (2013) Climate change may cause sever loss in the economic value of European forest lands. Nat Climate Change 3:203–207. doi:10.1038/nclimate1687CrossRef
  29. Hannah L (2008) Protected areas and climate change. Ann NY Acad Sci 1134:201–212CrossRefPubMed
  30. Hebda RJ (2008) Climate change, forests, and the forest nursery industry. In: Dumroese RK, Riley LE (tech coords), National proceedings, forest and conservation nursery associations—2007. USDA Forest Service, Rocky Mountain Research Station. Proceedings of RMRS-P-57:81–82
  31. Hewitt N, Klenk N, Smith AL, Bazely DR, Yan N, Wood S, MacLellan JI, Lipsig-Mumme C, Henriques I (2011) Taking stock of the assisted migration debate. Biol Conserv 144:2560–2572. doi:10.1016/j.biocon.2011.04.031CrossRef
  32. Hinchee M, Zhang C, Chang S, Cunningham M, Hammond W, Nehra N (2011) Biotech Eucalyptus can sustainably address society’s need for wood: the example of freeze tolerant Eucalyptus in the southeastern U.S. BMC Proc 5(Suppl 7):124. doi:10.1186/1753-6561-5-S7-I24CrossRef
  33. Hoegh-Guldberg O, Hughes L, McIntyre S, Lindenmayer DB, Parmesan C, Possingham HP, Thomas CD (2008) Assisted colonization and rapid climate change. Science 321:345–346CrossRefPubMed
  34. Hooper DU, Chapin FS III, Ewel JJ, Hector A, Inchausti P, Lavorel S, Lawton JH, Lodge DM, Loreau M, Naeem S, Schmid B, Setälä H, Symstad AJ, Vandermeer J, Wardle DA (2005) Effects of biodiversity on ecosystem functioning: a concensus of current knowledge. Ecol Monogr 75:3–35CrossRef
  35. Hunter ML Jr (2007) Climate change and moving species: furthering the debate on assisted colonization. Conserv Biol 21:1356–1358. doi:10.1111/j.1523-1739.2007.00780.xCrossRefPubMed
  36. [IPCC] Intergovernmental Panel on Climate Change (2014) Summary for policymakers. In: Field CB, Barros VR, Dokken DJ et al (eds) Climate change 2014: impacts, adaptation, and vulnerability. Part A: global and sectoral aspects. Cambridge University Press, New York, p 32
  37. Isaac-Renton MG, Roberts DR, Hamann A, Spiecker H (2014) Douglas-fir plantations in Europe: a retrospective test of assisted migration to address climate change. Global Change Biol 20:2607–2617. doi:10.1111/gcb.12604CrossRef
  38. [IUCN] International Union for Conservation of Nature (1987) IUCN position statement on the translocation of living organisms: Introductions, re-introductions, and restocking. IUCN World Conservation Union, Gland
  39. Iverson LR, Schwartz MW, Prasad AM (2004) How fast and far might tree species migrate in the eastern United States due to climate change? Global Ecol Biogeogr 13:209–219CrossRef
  40. Iverson L, Prasad A, Knight KS, Herms DA, Matthews S, Peters M, Smith A, Long R (2011) Potential replacements for northwoods black ash in a changing climate: the confluence of two challenges. In: Parra G, Lance D, Mastro V, Reardon R, Benedict C (comps), Emerald ash borer national research and technology development meeting. USDA Forest Service, State and Private Forestry, Forest Health Protection. FHTET-2011-06:63–64
  41. Jacobs DF, Dalgleish HJ, Nelson CD (2013) A conceptual framework for restoration of threatened plants: the effective model of American chestnut (Castanea dentata) reintroduction. New Phytol 197:378–393. doi:10.1111/nph.12020CrossRefPubMed
  42. Johnston M, Price D, L’Hirondelle S, Fleming R, Ogden AE (2010) Limited report: Tree species vulnerability and adaptation to climate change: Final technical report. Saskatchewan Res Council. Pub 12416-1E10
  43. Karl TR, Meehl GA, Peterson TC, Kunkel KE, Gutowski WJ, Easterling DR (2008) In: Karl TR, Meehl GA, Miller CD, Hassol SJ, Waple AM, Murray WL (eds) Weather and climate extremes in a changing climate: North America, Hawaii, Caribbean, and US Pacific Islands. US Climate Change Science Program and the Subcommittee on Global Change Research, Washington, DC
  44. Kates RW, Travis WR, Wilbanks TJ (2012) Transformational adaptation when incremental adaptations to climate change are insufficient. Proc Nat Acad Sci USA 109:7156–7161. doi:10.1073/pnas.1115521109PubMedCentralCrossRefPubMed
  45. Keane RE, Schoettle AW (2011) Strategies, tools, and challenges for sustaining and restoring high elevation five-needle white pine forests in western North America. In: Keane RE, Tomback DF, Murray MP, Smith CM (eds), The future of high-elevation, five-needle white pines in western North America: Proceedings of the high five symposium. USDA Forest Service, Rocky Mountain Research Station. Proceedings of RMRS-P-63:276–294
  46. Keppel G, Van Niel KP, Wardell-Johnson GW, Yates CJ, Byrne M, Mucina L, Schut AGT, Hopper SD, Franklin SE (2012) Refugia: indentifying and understanding safe havens for biodiversity under climate change. Global Ecol Biogeogr 21:393–404. doi:10.1111/j.1466-8238.2011.00686.xCrossRef
  47. Kim M-S, Richardson BA, McDonald GI, Klopfenstein NB (2011) Genetic diversity and structure of western white pine (Pinus monticola) in North America: a baseline study for conservation, restoration, and addressing impacts of climate change. Tree Genet Genomes 7:11–21. doi:10.1007/s11295-010-0311-0CrossRef
  48. Koskela J, Vinceti B, Dvorak W, Bush D, Dawson IK, Loo J, Kjaer ED, Navarro C, Padolina C, Bordács S, Jamnadass R, Graudal L, Ramamonjisoa L (2014) Utilization and transfer of forest genetic resources: a global review. Forest Ecol Manag 333:22–34. doi:10.1016/j.foreco.2014.07.017CrossRef
  49. Lenart M, Jones C (2014) Perceptions on climate change correlate with willingness to undertake some forestry adaptation andmitigation practices. J Forest 112:553–563. doi:10.5849/jof.13-051CrossRef
  50. Lindner M, Maroschek M, Netherer S, Kremer A, Barbati A, Garcia-Gonzalo J, Seidl R, Delzon S, Corona P, Kolström M, Lexer MJ, Marchetti M (2010) Climate change impacts, adaptive capacity, and vulnerability of European forest ecosystems. Forest Ecol Manag 259:698–709. doi:10.1016/j.foreco.2009.09.023CrossRef
  51. Loarie SR, Duffy PB, Hamilton H, Asner GP, Field CB, Ackerly DD (2009) The velocity of climate change. Nature 462:1052–1055. doi:10.1038/nature08649CrossRefPubMed
  52. Logan JA, Regniere J, Powell JA (2003) Assessing the impacts of global warming on forest pest dynamics. Front Ecol Environ 1:130–137CrossRef
  53. McLachlan JS, Hellmann JJ, Schwartz MW (2007) A framework for debate of assisted migration in an era of climate change. Conserv Biol 21:297–302. doi:10.1111/j.1523-1739.2007.00676.xCrossRefPubMed
  54. McLane SC, Aitken SN (2012) Whitebark pine (Pinus albicaulis) assisted migration potential: testing establishment north of the species range. Ecol Appl 22:142–153CrossRefPubMed
  55. Médail F, Diadema K (2009) Glacial refugia influence plant diversity patterns in the Mediterranean Basin. J Biogeogr 36:1333–1345. doi:10.1111/j.1365-2699.2008.02051.xCrossRef
  56. Millar CI (2014) Historic variability: informing restoration strategies, not prescribing targets. J Sustain Forest 33:S28–S42. doi:10.1080/10549811.2014.887474CrossRef
  57. Millar CI, King JC, Westfall RD, Alden HA, Delany DL (2006) Late Holocene forest dynamics, volcanism, and climate change at Whitewing Mountain and San Joaquin Ridge, Mono County, Sierra Nevada, CA, USA. Quat Res 66:273–287CrossRef
  58. Millar CI, Stephenson NL, Stephens SL (2007) Climate change and forests of the future: managing in the face of uncertainty. Ecol Appl 17:2145–2151CrossRefPubMed
  59. Minnemayer S, Laestadius L, Sizer N (2011) A world of opportunity. World Resource Institution, Washington
  60. Minteer BA, Collins JP (2010) Move it or lose it? The ecological ethics of relocating species under climate change. Ecol Appl 20:1801–1804CrossRefPubMed
  61. Moritz C, Agudo R (2013) The future of species under climate change: resilience or decline? Science 341:504–508. doi:10.1126/science.1237190CrossRefPubMed
  62. Mueller JM, Hellmann JJ (2008) An assessment of invasion risk from assisted migration. Conserv Biol 22:562–567. doi:10.1111/j.1523-1739.2008.00952.xCrossRefPubMed
  63. Notaro M, Mauss A, Williams JW (2012) Projected vegetation changes for the American Southwest: combined dynamic modeling and bioclimatic-envelope approach. Ecol Appl 22:1365–1388CrossRefPubMed
  64. [NRC] Natural Resources Canada (2013) Assisted migration. http://www.nrcan.gc.ca/node/13121. Accessed 11 Dec 2014
  65. Ohlemüller R, Huntley B, Normand S, Svenning JC (2012) Potential source and sink locations for climate-driven species range shifts in Europe since the Last Glacial Maximum. Global Ecol Biogeogr 21:152–163. doi:10.1111/j.1466-8238.2011.00674.xCrossRef
  66. O’Neill GA, Ukrainetz NK, Carlson MR, Cartwright CV, Jaquish BC, King JN, Krakowski J, Russell JH, Stoehr MU, Xie C, Yanchuk AD (2008) Assisted migration to address climate change in British Columbia: recommendations for interim seed transfer standards. BC Ministry of Forest and Range, Forest Sci Branch. Tech Rep 48
  67. Ozudogru EA, Kirdok E, Kaya E, Capuana M, Beneli C (2012) In vitro conservation of redwood (Sequoia sempervirens) by slow growth storage and cryopreservation. Acta Hortic 961:291–296CrossRef
  68. Park A, Talbot C (2012) Assisted migration: uncertainty, risk and opportunity. For Chron 88:412–419CrossRef
  69. Pedlar JH, McKenney DW, Aubin I, Beardmore T, Beaulieu J, Iverson L, O’Neill GA, Winder RS, Ste-Marie C (2012) Placing forestry in the assisted migration debate. Bioscience 62:835–842. doi:10.1525/bio.2012.62.9.10CrossRef
  70. Petrides GA, Petrides O (1998) A field guide to western trees, 1st edn. Houghton Mifflin, Boston, MA
  71. Pijut PM, Beasley RR, Palla KJ (2010) Genetic transformation of Fraxinus spp. for resistance to the emerald ash borer. In: Michler CH, Ginzel ME (eds) Proceedings of symposium on ash in North America. USDA Forest Service, North Research Station. Gen Tech Rep NRS-P-72:18
  72. Potter KM, Hargrove WW (2012) Determining suitable locations for seed transfer under climate change: a global quantitative method. New Forest 43:581–599. doi:10.1007/s11056-012-9322-zCrossRef
  73. Rebek EJ, Herms DA, Smitley DR (2008) Interspecific variation in resistance to emerald ash borer (Coleoptera: Buprestidae) among North American and Asian ash (Fraxinus spp.). Environ Entomol 37:242–246CrossRefPubMed
  74. Regniere J, Bentz B (2008) Mountain pine beetle and climate change. In: McManua K, Gottschalk KW (eds), Proceedings of 19th US Department of Agriculture Interagency Research Forum on Invasive Species 2008. USDA Forest Service, North Research Station. Gen Tech Rep NRS-P-36:63–64
  75. Rehfeldt GE, Crookston NL, Warwell MV, Evans JS (2006) Empirical analysis of plant-climate relationships for the western United States. Int J Plant Sci 167:1123–1150CrossRef
  76. Rehfeldt GE, Jaquish BC, López-Upton J, Sáenz-Romero C, St Clair JB, Leites LP, Joyce DG (2014a) Comparative genetic responses to climate for the varieties of Pinus ponderosa and Pseudotsuga menziesii: realized climate niches. Forest Ecol Manag 324:126–137. doi:10.1016/j.foreco.2014.02.035CrossRef
  77. Rehfeldt GE, Jaquish BC, Sáenz-Romero C, Joyce DG, Leites LP, Bradley St Clair J, López-Upton J (2014b) Comparative genetic responses to climate in the varieties of Pinus ponderosa and Pseudotsuga menziesii: reforestation. Forest Ecol Manag 324:147–157. doi:10.1016/j.foreco.2014.02.040CrossRef
  78. Richardson DM, Hellmann JJ, McLachlan JS, Sax DF, Schwartz MW, Gonzalez P, Brennan EJ, Camacho A, Root TL, Sala OE, Schneider SH, Ashe DM, Clark JR, Early R, Etterson JR, Fielder ED, Gill JL, Minteer BA, Polasky S, Safford HD, Thompson AR, Vellend M (2009) Multidimensional evaluation of managed relocation. Proc Nat Acad Sci USA 106:9721–9724. doi:10.1073/pnas.0902327106PubMedCentralCrossRefPubMed
  79. Richardson BA, Ekramoddoulah AKM, Liu JJ, Kim MS, Klopfenstein NB (2010) Current and future molecular approaches to investigate the white pine blister rust pathosystem. Forest Pathol 40:314–331. doi:10.1111/j.1439-0329.2010.00660.xCrossRef
  80. Roy BA, Alexander HM, Davidson J, Campbell FT, Burdon JJ, Sniezko R, Brasier C (2014) Increasing forest loss worldwide from invasive pests requires new trade regulations. Front Ecol Environ 12:457–465. doi:10.1890/130240CrossRef
  81. Sáenz-Romero C, Guzmán-Reyna RR, Rehfeldt GE (2006) Altitudinal genetic variation among Pinus oocarpa populations in Michoacán, Mexico. Forest Ecol Manag 229:340–350. doi:10.1016/j.foreco.2006.04.014CrossRef
  82. Sáenz-Romero C, Rehfeldt GE, Duval P, Lindig-Cisneros RA (2012) Abies religiosa habitat prediction in climatic change scenarios and implications for monarch butterfly conservation in Mexico. Forest Ecol Manag 275:98–106. doi:10.1016/j.foreco.2012.03.004CrossRef
  83. Santini A, Ghelardini L, De Pace C, Desprez-Loustau ML, Capretti P, Chandelier A, Cech T, Chira D, Diamandis S, Gaitniekis T, Hantula J, Holdenrieder O, Jankovsky L, Jung T, Jurc D, Kirisits T, Kunca A, Lygis V, Malecka M, Marcais B, Schmitz S, Schumacher J, Solheim H, Solla A, Szabò I, Tsopelas P, Vannini A, Vettraino AM, Webber J, Woodward S, Stenlid J (2013) Biogeographical patterns and determinants of invasion by forest pathogens in Europe. New Phytol 197:238–250. doi:10.1111/j.1469-8137.2012.04364.xCrossRefPubMed
  84. Schwartz MW (1994) Conflicting goals for conserving biodiversity: issues of scale and value. Natural Areas J 14:213–216
  85. Seddon PJ (2010) From reintroduction to assisted colonization: moving along the conservation translocation spectrum. Restor Ecol 18:796–802. doi:10.1111/j.1526-100X.2010.00724.xCrossRef
  86. Seymour RS (1992) The red spruce-balsam fir forest of Maine: Evolution of silvicultural practice in response to stand development patterns and disturbances. In: Kelty M, Larson B, Oliver C (eds) The ecology and silviculture of mixed-species forests: A festschrift for David M Smith. Kluwer Academic, Dordrecht, pp 217–244CrossRef
  87. Shackelford N, Hobbs RJ, Heller NE, Hallett LM, Seastedt TR (2013) Finding a middle-ground: the native/non-native debate. Biol Conserv 158:55–62CrossRef
  88. Shearer BL, Crane CE, Barrett S, Cochrane A (2007) Phytophthora cinnamomi invasion, a major threatening process to conservation of flora diversity in the South-west Botanical Province of Western Australia. Aust J Bot 55:225–238CrossRef
  89. Simpson D (2010) Ex situ conservation of ash seed in Canada. In: Michler CH, Ginzel ME (eds) Proceedings of symposium on ash in North America. USDA Forest Service, North Research Station. Gen Tech Rep NRS-P-72:54–57
  90. Slesak RA, Lenhart CF, Brooks KN, D’Amato AW, Palik BJ (2014) Water table response to harvesting and simulated emerald ash borer mortality in black ash wetlands in Minnesota, USA. Can J Forest Res 44:961–968. doi:10.1139/cjfr-2014-0111CrossRef
  91. Smith SE, Winslow SR (2001) Comparing perceptions of native status. Nativ Plants J 2:5–11CrossRef
  92. St. Clair JB, Howe GT (2011) Strategies for conserving forest genetic resources in the face of climate change. Turkish J Bot 35:403–409. doi:10.3906/bot-1012-98
  93. Stanturf JA, Palik BJ, Dumroese RK (2014a) Contemporary forest restoration: a review emphasizing function. Forest Ecol Manag 331:292–323. doi:10.1016/j.foreco.2014.07.029CrossRef
  94. Stanturf JA, Palik BJ, Williams MI, Dumroese RK, Madsen P (2014b) Forest restoration paradigms. J Sustain Forest 33:S161–S194. doi:10.1080/10549811.2014.884004CrossRef
  95. Ste-Marie C, Nelson EA, Dabros A, Bonneau M (2011) Assisted migration: introduction to a multifaceted concept. For Chron 87:724–730CrossRef
  96. Sykes MT, Prentice IC (1996) Climate change, tree species distributions and forest dynamics: a case study in the mixed conifer/northern hardwoods zone of northern Europe. Clim Change 34:161–177CrossRef
  97. Thuiller W, Lavorel S, Sykes MT, Araújo MB (2006) Using niche-based modelling to assess the impact of climate change on tree functional diversity in Europe. Divers Distrib 12:49–60CrossRef
  98. Torreya Guardians (2015) Assisted migration (assisted colonization, managed relocation) and rewilding of plants and animals in an era of global warming. http://www.torreyaguardians.org/assisted-migration.html. Accessed 7 July 2015
  99. Trenberth KE (2011) Changes in precipitation with climate change. Climate Res 47:123–138. doi:10.3354/cr00953CrossRef
  100. United Nations DoEaSA, Population, Division (2012) World population prospects: the 2012 revision
  101. Vitt P, Havens K, Kramer AT, Sollenberger D, Yates E (2010) Assisted migration of plants: changes in latitudes, changes in attitudes. Biol Conserv 143:18–27. doi:10.1016/j.biocon.2009.08.015CrossRef
  102. Viveros-Viveros H, Sáenz-Romero C, Vargas-Hernández JJ, López-Upton J, Ramírez-Valverde G, Santacruz-Varela A (2009) Altitudinal genetic variation in Pinus hartwegiiLindl. I: height growth, shoot phenology, and frost damage in seedlings. Forest Ecol Manag 257:836–842. doi:10.1016/j.foreco.2008.10.021CrossRef
  103. Walsh J, Wuebbles D, Hayhoe K, Kunkel K, Somerville R, Stephens G (2013) Our changing climate. NCADAC draft climate assessment report. US Global Change Research Program, Washington, DC, pp 25–103
  104. Westerling AL, Turner MG, Smithwick EAH, Romme WH, Ryan MG (2011) Continued warming could transform Greater Yellowstone fire regimes by mid-21st century. Proc Nat Acad Sci USA 108:13165–13170. doi:10.1073/pnas.1110199108PubMedCentralCrossRefPubMed
  105. Williams MI, Dumroese RK (2013) Preparing for climate change: forestry and assisted migration. J Forest 111:287–297. doi:10.5849/jof.13-016CrossRef
  106. Winder R, Nelson EA, Beardmore T (2011) Ecological implications for assisted migration in Canadian forests. For Chron 87:731–744CrossRef
  107. Wright JW, Rauscher HM (1990) Fraxinus nigra Marsh. In: Burns RM, Honkala BH (tech coords), Silvics of North America: 2. Hardwoods. Agriculture Handbook 654. USDA Forest Service
  108. [WTO] World Trade Organization (2014) The impact of trade opening on climate change. http://www.wto.org/english/tratop_e/climate_impact-e.htm. Accessed 24 Nov 2014
  109. Yang J, Pedlar JH, McKenney DW, Weersink A (2015) The development of universal response functions to facilitate climate-smart regeneration of black spruce and white pine in Ontario, Canada. For Ecol Manage 339:34−43CrossRef
  110. Zhu K, Woodall CW, Clark JS (2012) Failure to migrate: lack of tree range expansion in response to climate change. Global Change Biol 18:1042–1052. doi:10.1111/j.1365-2486.2011.02571.xCrossRef

For further details log on website :
http://link.springer.com/article/10.1007/s11056-015-9504-6

No comments:

Post a Comment

Advantages and Disadvantages of Fasting for Runners

Author BY   ANDREA CESPEDES  Food is fuel, especially for serious runners who need a lot of energy. It may seem counterintuiti...