Plausible estimates of climate change impacts require combined use of climate, crops, pests, and economic models. However, climate change models often ignore possible effects on dynamics and infectivity of pests and diseases. The most important reason is that we do not have long-term monitoring data or an empirical approach to feed modeling systems that might be used to predict impacts and mitigation scenarios with sufficient levels of certainty (Scherm 2004; Shaw and Osborne 2011). In addition, this pattern of climate change factors is not equally distributed over the globe. It is anticipated that a general shift of a milder climate toward the poles will improve the potential of crop production (Butterworth et al. 2010; Evans et al. 2008). By contrast, hotter and drier conditions in many already semi-arid areas of the world will limit the possibilities for agriculture (Luo et al. 2009). Therefore, it is unlikely that general models can ever be developed. However, it is worth noting that all climate models predict a higher frequency of extreme and fluctuating weather conditions which would influence the interactions between crops, pests, and diseases in an unpredictable way. As a consequence, there may be increasing risk of complete failure of current and possibly future crop protection strategies.
Climate change is generally associated with increased CO2 levels, higher seasonal temperature profiles, and more precipitation (Pachauri and Reisinger 2007). These global climate change effects will affect the distribution of pests, although whether such changes will cause more frequent and more severe outbreaks cannot be answered in general terms. The fertilization effect of higher CO2 levels might increase photosynthesis and crop yields (Ainsworth and Long 2005). However, it is widely considered to also affect plant morphology, canopy structure, and hence micro-climate and the resident micro-floral populations in such environments (Eastburn et al. 2011). Thus far, different studies have given conflicting results showing that elevated CO2 levels may have negative, neutral, or positive effects on fungal growth (Luck et al. 2011). Indeed, the Climapest project, covering 20 different crops throughout Brazil, concluded that climate change can “decrease, increase, or have no impact on plant diseases, pests, or weeds depending on the region and the time period” (http://www.macroprograma1.cnptia.embrapa.br/climapest/english-version). For example, experiments showed that in an environment with higher CO2 level, some rust-caused diseases seemed to increase while others decreased in severity (Ghini et al. 2011).
The effects of temperature change are manifold and will affect crops and plant diseases in many different direct and indirect ways. For example, a 5.8 °C increase in temperature is expected to reduce suitable coffee-growing areas by more than 95 % in several regions of Brazil (Assad et al. 2004). Higher temperatures are often associated with increased rates of development, growth, and reproduction and hence the fear that plant diseases will become more severe makes intuitive sense. Warmer climate crops, such as those found in the tropics, tend to suffer greater pest problems than crops in more temperate regions. Yet, it is not easy to predict which combinations of crops and pests will tend to become problematic in the future and in which areas (Shaw and Osborne 2011). On the other hand, higher levels of precipitation in certain areas could be useful for plant growth, although rainfall and moisture are also vital for the occurrence of fungal and bacterial species (Huber and Gillespie 1992). Infection, sporulation, and spread of many fungi are moisture-dependent, and outbreaks are often triggered by long periods of wetness (Juroszek and von Tiedemann 2011).
The body of knowledge on the effects of climate change, new exotic pest incursions, and globalization on crop protection points to a higher level of unpredictability regarding future crop-pest-climate interactions and increased frequency and amplitude of climatic fluctuations. Overall, there will be accelerations in the rate of exotic pests entering and establishing in Europe as well as an increased rate of evolution of existing pest populations. In such situations, the priority may shift from maximizing yields to achieving more stable levels of production and avoiding total crop failures. Hence, IPM strategies that are dynamic and internally diversified to locally adapted cropping systems, and more resilient to fluctuating weather conditions and new and evolving pests, should be developed accordingly.
A wide range of pests including insects, fungal and bacterial pathogens, and weeds may benefit from changing climate. The way in which climate change impacts their evolution can be summarized as below.
Insects
Climate and weather patterns are of primary importance for the distribution, development, and population dynamics of insects. Although insects may regulate body temperature within a certain range, many species—especially smaller herbivores—are almost exclusively ectotherms (Willmer et al. 2000). Insect physiology is therefore primarily driven by temperature which means that phenology, reproduction, and developmental rates significantly change when populations are exposed to different climatic regimes. Bioclimatic envelopes (the range and pattern of climatic parameters) and day length largely determine the potential distribution of insect species when host plants are available.
Insects are constantly adapting their life history patterns to the available climatic regimes or season lengths. Evolutionary adaptations in life cycles of insects occur so rapidly that ongoing climate changes are already reflected in according adaptations such as daylight signals that induce diapause (Bradshaw and Holzapfel 2011). Increased pest outbreaks were judged as “virtually certain” in the previous IPCC Synthesis Report (IPCC 2007), while according to the IPCC Synthesis Report 2014, increases in the frequency or intensity of ecosystem disturbances including pest outbreaks in many parts of the world are in some cases due to climate change (IPCC 2014). Aside from population dynamics per se, current climatic projections predict that the distribution of insect species will shift from lower latitudes pole wards and from lower to higher altitudes (Hadley Centre 2007). Such range shifts in insect distributions have been already observed in nature as a response to global warming (Battisti et al. 2005; Gutierrez et al. 2009; Parmesan 2006; Walther et al. 2002). For example, the stinkbug Acrosternum hilare in England and Japan has shifted its range by more than 300 km northward with a temperature increase of only 2 °C (Trumble and Butler 2009). Likewise, the mountain pine beetle, a major forest pest in the USA and Canada, has extended its range northward by approximately 300 km when temperature rose by only 2 °C (Logan and Powell 2001).
Lower latitudes usually have more complex pest assemblages, i.e., more pest species and antagonists per crop than higher latitudes toward the poles. Climatic shifts are therefore expected to increase the number of harmful species in temperate regions, especially in those of the northern hemisphere (Logan and Powell 2001; Parmesan 2006). For example, higher temperatures may extend the distribution range of the European corn borer (Ostrinia nubilalis) to maize areas previously free of this species. This may not only lead to crop losses but also to more secondary infections by Fusarium molds and consequent mycotoxin problems in this crop. Pests may also spread or invade into areas and find new host plants that were not infested before. Being the driving factor for establishment in new distribution ranges, global warming may also increase the traveling speed of invasive pests by decreasing the function of mountain ranges as cold barriers (Aluja et al. 2011).
Climate change will lead also to phenological changes. The earlier onset and increased length of the growing season also means that indigenous polyvoltine species may be able to complete more generations per year leading to higher population levels at the season’s end (Ziter et al. 2012). In this way, formerly univoltine species may also become bi- or multivoltine as reported for codling moth (Cydia pomonella L.), a key pest in apple throughout several parts of Europe (Stoeckli et al. 2012). Shifts in phenology due to changing temperatures may also change the synchrony between host plants, pest species, and their natural enemies. This may lead to unexpected interactions the outcome of which, in terms of more or less damage, is hard to predict. Furthermore, invasive species may have more opportunity to become established in areas that were formerly unsuitable as a habitat due to the climatic conditions (Trumble and Butler 2009).
Besides higher population pressure, the potential for damage is expected to last longer within the growing season and crops will have to be protected accordingly. Established management strategies that are focused on low pesticide residues will have to be largely adapted to avoid the possible resistance build-up to plant protection chemicals thereby ensuring their sustainability in future use (Samietz et al. 2014). Here, further knowledge about pest biology, especially the potential adaptation of insect pests to climatic changes, is necessary and needs to be combined in simulation studies in order to prepare management systems that can withstand the challenges of global warming.
Besides higher temperatures during the growing season, elevated winter temperatures are equally significant. The distribution of many species is limited by their low-temperature tolerance. Given milder winters under climate change, more species will be able to survive and colonize crops. Some species may skip their sexual stage and have new asexual generations throughout the year which may lead to early high population levels. There are a number of instances worldwide where aphids have shifted from holocyclic (primary and secondary hosts) to anholocyclic (only secondary hosts, i.e., only the crop plants) form (Radcliffe and Ragsdale 2002). Such a shifting process in insect phenology is likely to have an impact on crops and increase pest management costs. An example of altered aphid phenology comes from Scotland whereby oilseed rape production was introduced with farmers growing vernalized oil seed rape (autumn planted with the crop remaining green during the winter). It was found that green peach aphids could overwinter as anholocyclic forms (asexual generations) on oilseed rape and colonize potato earlier than those aphids that overwintered on the primary host (Fenton et al. 1998; Woodford 1998). If increased temperatures allow aphids to remain on secondary hosts (either crop or non-crop), this can result in rapid colonization of crops early in the season. The phenology of pests will also be modified by increased temperatures. A 20-year study in the UK demonstrated that winter temperature was the dominant factor affecting aphid phenology and that a mere 1 °C rise in winter temperature advanced the migration phenology by 19 days (Zhou et al. 1995). Overall, higher temperatures would allow insect populations to colonize crops earlier and develop faster. In this way, crop damage may occur more rapidly than what is currently observed. Finally, as some of these insect species are also vectors of viruses (such as Bemisia tabaci), crops may also become more vulnerable due to earlier and more severe infections.
Besides temperature, elevated CO2 levels were reported to favor insect population growth rates, such as those for pea aphids, by active elicitations of host responses that promote amino acid metabolism in both the host plant and its bacteriocytes (Guo et al. 2013). In addition, rising CO2 levels will increase the carbon-nitrogen balance in crop plants and hence their structure and palatability for leaf chewing insects. Each species may respond differently to all these changes, and this will affect concentrations of constitutive and induced defensive chemicals in plants, insect feeding behavior, competition between pests, interactions among pests and natural enemies, and ultimately damage to crops (Trumble and Butler 2009). However, our current knowledge on these aspects remains largely fragmentary.
Over recent decades, there has been constant growth in the number of reports of invasive alien species reaching new areas (Trumble and Butler 2009). Invasions are primarily due to increasing anthropogenic impacts at global level, i.e., the increasing and rapid movement of people and agricultural commodities. However, warmer temperatures also mean that insects which could not previously survive in potential new areas are able to establish and colonize once introduced. A practical example is the potato psyllid (Bactericera cockerelli) which has migrated to California several times over the past century with the populations never lasting more than a year. Cool winter temperatures meant it could only survive in Mexico and southern Texas during this period of the year. However, in 2000, it became established in California inducing substantial losses in tomato, potato, and pepper crops (Liu and Trumble 2007).
New emerging species often spread into completely new ecological settings where most of their natural enemies are missing. An example is the introduction of the B-biotype (B. tabaci) in Brazil which was responsible of vectoring of viruses present in native plants only onto cultured tomato crops, leading to new virus diseases in this crop (Fernandes et al. 2008). Whether antagonists will also extend their ranges, thereby following the herbivores, is unknown for the moment. This is true especially in the case of introduction via globalization/international trade rather than the mere extension of an area of distribution via climate change. In-depth ecological knowledge about both pests and their natural enemies in the country of origin may help toward better preparedness and to develop more robust cropping systems. This may apply to both already introduced pests and vectored diseases such as Tuta absoluta (Desneux et al. 2010; Zappalà et al. 2013), B. tabaci (Tahiri et al. 2006), tomato yellow leaf curl virus (TYLCV), Plutella xylostella, and its parasitoids (Sarfraz et al. 2005), and to potential invasive species such as Bactrocera fruit flies (Stephens et al. 2007). Robust cropping systems were already developed and tested in the tropics against a range of such pests (Licciardi et al. 2008; Vayssieres et al. 2009).
Fungi
Plant disease outbreaks depend on complex interactions between many factors. Overall, the development of an aggressive strain within a diverse population, the presence of host plants missing appropriate resistance to this newly developed aggressive strain, plant architecture, uniform cropping system, weather conditions, and limited antagonistic activities of non-pathogenic populations play an important and inter-related role (Barbetti et al. 2012; Burdon et al. 2006; Garrett et al. 2011; Jones and Barbetti 2012; Pangga et al. 2013). The mode of nutrition also has a non-negligible role. For example, biotrophic fungi deriving nutrition only from living host tissue are more successfully controlled than necrotrophs which derive nutrition from both live and dead plant materials (Beed et al. 2011). Taking all these factors together, it is hard to speculate on the effects of climate change, particularly when long-term datasets from the past are missing to develop and test predictive models for the future. Nevertheless, our knowledge of the phenology of plant-disease interactions, population genetics of pathogens as well as crops, and examples of overwhelming establishment of new diseases in a region provides insights into how climate change may affect disease incidence and severity as summarized below.
Firstly, some features of climate change will influence disease phenology. Higher temperatures and/or elevated CO2 will speed up the life cycle of some pathogenic fungi thereby increasing the development and availability of inoculum. The latter of which may lead to high levels of infection and accelerated evolution of new aggressive strains (Chakraborty and Dutta 2003). Hence, crop protection practices must be timely, effective, precise, and complete to prevent a new wave of infection that leads to new disease epidemics due to overcoming crop resistance. Prolonged generations of pests will be able to infect crops at a later stage than at present. An example is Phoma which is estimated to cause a 10–50 % decrease in the total yield of oilseed rape in the UK depending on future climate conditions (Barnes et al. 2010). Climate change was also reported to alter crop anthesis. For example, wheat in the UK will be developed earlier in the season being more favorable for Fusarium ear blight infection and consequent mycotoxins increases in cereal products (Madgwick et al. 2011).
Secondly, climate change may affect the expression of plant resistance traits in a positive or negative way. Breeding for resistance is a lengthy process, and today’s resistant varieties are specifically bred for present agricultural conditions. The expression of quantitative resistance against Phoma in oilseed rape dropped dramatically when there was an increase in temperature from 20 to 25 °C (Huang et al. 2009). Indeed, the authors showed that the percentage of leaf area infected increased from 5 to 50 %. Taken together, the expression of resistance genes in the host plant, and their efficacy, may decrease dramatically because of climate change. In addition, we could envisage that increased generation cycles of pests triggered by climate change might select more aggressive pathogen populations (Chakraborty 2013). Such a selected population, combined with hampered resistance in the host, may lead to unpredicted, or unprecedented, epidemiological outbreaks.
Thirdly, when the genetic variation of a crop is low, particularly over a wide range, and continued series of cultivation, a new or adapted strain of a pathogen may arise and become dominant thereby leading to dramatic effects (Strange and Scott 2005). A classic example is wheat production in the Central, West Asian, and North African regions which feeds more than one billion people. Although many wheat varieties are grown in this huge area, all have a similar genetic background. With a slightly increased temperature and decreased rainfall, as observed over recent decades, a new type of yellow rust caused by Puccinia striiformis (Hovmøller et al. 2011) was able to extend from Africa to India within 15 years. This has led to widespread epidemics highlighting how vulnerable an area can be when slight changes in climate occur (Wellings 2011). Indeed, it was reported that new strains of the fungus have adapted to produce spores at warmer temperatures than usual for this pathogen. This may have probably increased the rate of disease expansion on a global scale (Milus et al. 2009). The new strain of P. striiformis (Fig. 2) spreads to at least three new continents within 3 years, faster than previously reported for any crop pathogen (Hovmøller et al. 2008). This gave rise to severe epidemics in warmer wheat production areas (Hovmøller et al. 2010) where yellow rust was previously absent or infrequent, implying that current cropping systems were not prepared for the new situation. At a temperature regime typical for these areas, isolates of the new strain produced three to four times more spores per day than strains found previously (Hovmøller et al. 2011). The rapid spread of the new strain is probably the cumulative result of increased pathogen fitness, warmer environments, increase in the number of spores in the atmosphere, and long-distance dispersal of these by wind, increasing travel and commerce. Similar chains of events should be expected for other pathogens reinforcing the need for coordinated international surveillance (including long-range surveillance) and action to ensure sustainable crop disease management under climate change.
Another example of increasing pathogen proliferation and disease outbreaks is the case of oomycete Phytopthora spp. Root rot and canker disease caused by Phytophthora cinnamomi affects more than 1000 host species, especially in most temperate and subtropical areas of the globe (Sturrock et al. 2011). Under climate change, this pathogen was reported to increase the instability and vulnerability of forest ecosystems by a shift toward central Europe (Jung 2009). Increasing temperatures were predicted to boost potential range expansion of P. cinnamomi along the western coast of Europe up to a few hundred kilometers eastward from the Atlantic coast within one century (Bergot et al. 2004). Likewise, Phytophthora ramorum, a pathogen of yet unknown origin, and not reported in Europe until the late 1990s, has rapidly established itself as a major threat to a range of plant species here. Within the last 15 years, over 20 different species of broad-leaved trees were found to be infected throughout southern England (Webber 2008). Since autumn 2009, several dramatic outbreaks of the disease caused by this pathogen have been reported across the UK on several new host species (Brasier et al. 2010; Webber et al. 2010). Thanks to the introduction of new horticultural plant species in Europe (such as rhododendron), and altered weather conditions with humid summers and milder winters, this pathogen was not only able to cross the ocean (which it probably had done previously) but was also able to finally establish itself throughout most European regions. Today, this fungal pathogen is widely considered as endemic in Europe, infecting an increasing range of other host plants. Climate change scenarios based on CLIMEX model (that describes the response of a species to climate) projected that the area favorable, or very favorable, for P. ramorum will markedly decrease in the eastern USA but will increase in the west-coast states of Washington, Oregon, and California (Venette 2009; Venette and Cohen 2006). Numerous other examples of shift in fungal pathogens and disease outbreaks associated to changing climate were recently reviewed (Sturrock et al. 2011).
Besides changes in host-pathogen interactions, climate change leads to other changes including fecundity, canopy size, and long- and short-distance disseminations (Chakraborty 2013). Changes in the geographical distribution of hosts and pathogens, new pathogens, new remnant vegetation, and increased plant stress will all be important issues in the development of fungal diseases in changing climatic conditions. The complex interplay of changing resistance expression, new virulence of pathogens, and presence of other host plants and, overarching all these, more favorable infection conditions due to climate change warrant a careful inventory of the new knowledge needed to prevent unprecedented disease outbreaks in the future.
Several examples of fungal pathogen adaptation under climate change have been reported in the literature. Those include the substitution of species in the genus Fusarium and Microdochium spp. in Europe by Fusarium pseudograminearum with higher temperature optima and toxigenicity (Isebaert et al. 2009). This replacement has led to the increased risk of mycotoxin contamination (Paterson and Lima 2010). Similar example was reported also from Canada where adaptive evolution along environmental gradients has replaced existing Fusarium graminearum population with highly toxigenic forms (Ward et al. 2008). In eastern USA, an aggressive high-temperature-tolerant strain has dominated stripe rust pathogen, P. striiformis f. sp. tritici, population since 2000 (Milus et al. 2009).
As effects of climate change on fungal diseases are challenging to predict in general terms, a practical method might be detailed through modeling of each individual crop-pathogen situation in a projected climate change condition of a certain geographic area. Looking at north-west Europe with predicted warmer and more humid winters, and warmer and drier summers, polycyclic and monocyclic fungi can be classified in seven “ecotypes” (West et al. 2012). This classification can be based on parameters such as dissemination method of spores, infection condition requirements, and latent period to weather conditions (West et al. 2012). Being classified in a specific ecotype, one can predict if climate change in that region will support an increased or a decreased infection of a certain fungus-crop combination. This methodology might be useful to test in other regions of Europe.
Bacteria
In a globalized world and under climate change conditions, plant pathogenic bacteria are expected to become an increasing threat to crop health (Jones and Barbetti 2012). Firstly, apparently healthy but latently infected woody plants (Lamichhane 2014; Lamichhane et al. 2014) highly favor the long-distance dissemination of plant pathogenic bacteria through global trade of nursery materials. This often leads to new disease outbreaks throughout the range of cultivation. Secondly, new strains emerge from warmer regions and easily adapt to our more temperate regions. A telling example in Europe can be found in potato crops where diseases caused by Pectobacterium spp. were always predominant. However, over the past decade Dickeya spp. have taken over (Czajkowski et al. 2011). The latter, previously identified as pathogens from tropical and subtropical regions, have become established in Europe due to today’s milder climatic conditions. Dickeya spp. are more aggressive than Pectobacterium spp. and are now responsible for 50 to 100 % of field infections thereby leading to significant damage in potato and other crops across Europe (Czajkowski et al. 2011).
European horse chestnut bleeding canker caused by Pseudomonas syringe represents another pertinent example (Fig. 3). Although this pathogen was reported to cause mild disease symptoms on a local horse chestnut species from India during the 1980s (Durgapal and Singh 1980), the pathogen was never reported in Europe. However, in 2002, an aggressive population of P. syringae was found on European horse chestnut in the Netherlands which, since, has rapidly established itself as a major threat to this tree throughout a large number of North-western European countries (reviewed by Lamichhane et al. 2014). Similarly, an aggressive population of P. syringae has jeopardized the entire kiwifruit industry at global level causing severe economic losses (Bartoli et al 2014; Lamichhane et al. 2014). In this last case, global trade of infected plant materials and the cultivation of genetically uniform plant species were considered as the major means that favored pathogen dissemination.
Another example of bacterial pathogen evolution under climate change includes race 9 of Xanthomonas oryzae pv. oryzae infecting rice with the Xa7 resistance gene increased virulence and aggressiveness over 11 years of rising temperature to dominate the pathogen population (Webb et al. 2011). However, in this case, the increased effectiveness of Xa7 at high temperature has continued to offer effective pathogen control.
As climate change might enhance threats from plant pathogenic bacteria, it is important to realize that bacteria might behave as “kingdom hoppers” moving from human to animal to plant to environment and vice versa. These phenomena have raised several concerns. Recent evidence has confirmed that human pathogenic Gram-negative bacteria and viruses can colonize and infect plants as alternate hosts (Holden et al. 2009). The causal agent of nosocomial infections in humans, Pseudomonas aeruginosa (Mesaros et al. 2007), is reported to cause new diseases on naturally grown tobacco (Yu et al. 2008) and causes fruit rot of Tinda (Mondal et al. 2012). Similarly, Salmonella enteric typhimurium internally colonizes tomato (Gu et al. 2013; 2011) as well as lettuce (Klerks et al. 2007) plants. On tomato, S. enterica has been reported to move systemically reaching fruits and seeds from leaves (Gu et al. 2011). Once within the fruits, the pathogen can multiply to high densities (Gu et al. 2011; Noel et al. 2010). A recent study demonstrated that Escherichia coli can internally colonize both leaves and roots of lettuce and spinach (Wright et al. 2013). Lastly, human norovirus and norovirus surrogates (Murine norovirus and Tulane virus) are also reported to colonize spinach stem and leaves (Hirneisen and Kniel 2013). Because virulence effector genes can be frequently exchanged or transferred between bacteria (Baltrus 2013), such “kingdom hopping” events represent a real threat thereby raising several concerns also for human and animal, not least plant health. Recently, it had been reviewed that bacterial species, especially those belonging to the large family of Enterobacteriaceae, can easily be adapted in human, animal, and plant environments. Horizontal gene transfer (Baltrus 2013) between species can easily occur in a joint habitat such as the soil/manure/plant-rhizosphere interphase, which might confer an enhanced fitness to bacteria to live on plant as well as human hosts. In analogy to zoonosis (bacteria transmitted from animal to human), this new class of plant bacteria is termed “phytonosis” (Van Overbeek et al. 2014). One of the most important threats of phytonosic bacteria are acquired genes for antibiotic resistance (Lipsitch et al. 2002), known for being abundantly present in the bacterial community of the plant rhizosphere.
Weeds
Overall, invasive plants have been shown to severely affect plant communities. A recent meta-analysis estimated that invasive plants reduced fitness of native plant communities on average by 41.7 %, growth by 22.1 %, species abundance by 43.5 %, and diversity by 50.7 % (Vilà et al. 2011). More specifically to crops, weeds compete with them for light, nutrients, and water. It is likely that the effect of environmental disturbances such as rising CO2 or increasing temperatures will be manifested as a change in the competitiveness between crops and weeds. Herbicide performance is also expected to reduce at elevated CO2 levels (Ziska 2010). Being inherently adapted to the prevailing conditions, it is likely that weeds will respond more favorably to climate change than crops. This has been confirmed in the majority of studies examining the response of crops and weeds to increasing levels of CO2. However, the physiological characteristics of crops and weeds being either a C3 or C4 plant will also determine their respective responses to CO2 (Hatfield et al. 2011; Ziska 2011). While CO2 is mainly expected to influence crop-weed competition, the most likely effect of a rising temperature is the northwards expansion of native and invasive weed species (Hatfield et al. 2011).
In comparison to many diseases and insect pests, weeds are relatively non-mobile, and their spread and establishment into new regions is expected to take longer than for other pest groups. However, as projected warming may exceed maximum rates of plant migration in postglacial periods (Malcolm et al. 2002), it could favor the most mobile weed species. Many agricultural weeds have characteristics associated with long-distance dissemination and a wide geographic range such as small seeds, phenotypic plasticity, and a short juvenile period that suggests that agricultural weeds may be among the fastest to spread (Dukes and Mooney 2000).
Most of the current information on the impact of climate changes on future weed distribution is based on predictions performed using bioclimatic envelope models (Hyvönen et al. 2012). However, these models have a limited value for predicting the long-term changes in the composition of weed communities (Thuiller et al. 2008). Firstly, climatic conditions alone cannot predict range shifts without considering biotic and management practices such as soil type, tillage practice, and cropping sequence. Secondly, the bioclimatic envelope models assume that weed species will only gain foothold in areas that have a climate similar to its native range. However, this assumption has recently been challenged by studies revealing that the range expansion of alien species exceeded that predicted by the models used (Clements and DiTommaso 2011). Rapid genetic evolution and/or phenotypic plasticity may explain these observations (Clements and DiTommaso 2011; Maron et al. 2004).
For an agricultural weed to be successful, it must adapt not only to a given climate but also to the constraints of the cropping system. Thus, the range shift of a weed species should not only be studied in the context of climate but should also include biotic parameters which have rarely been the case so far. The term “niche” is often used in the context of range shifts. According to Hutchinson (1957), the abiotic factors, and especially climate, determine the fundamental niche of a species while the interactions with the biotic factors together with the dispersal properties determine the realized niche of a species. Although the concepts of fundamental and realized niches are useful also for understanding range shifts of agricultural weeds, they do not take into account the economic impact of agricultural weeds. To overcome this shortcoming, McDonald et al. (2009) introduced the concept of the “damage niche.” The latter is defined as “the environmental conditions that make specific weed abundant, competitive, and therefore damaging the production of particular crops.” Determining the damage niche of a weed species requires information on the crop-weed interactions and is thus region and cropping system specific.
Despite its relevance to the impact of climate change on the distribution and impact of agricultural weeds, the “damage niche” concept has only been applied in a few other studies (Stratonovitch et al. 2012; Bradley 2013). Using the damage niche-based concept in conjunction with the HadCM3 projections for the periods 2046–2065 and 2080–2099, Stratonovitch et al. (2012) found a possible northward shift in the range of black grass (Alopecurus myosuroides) in winter wheat (Fig. 4). Moreover, they also observed a local-scale difference due to variations in soil type and water holding capacity. The competitive balance was predicted to shift in favor of the crop due to its deeper root system making the crop less prone than the competing weed to the more frequent drought stress events predicted. In short, this means, in this context, the damage niche was predicted to reduce, rather than increase, under climate change.