PHYSIOLOGICAL ECOLOGY Embryonic Developmental Rates of Northern Grasshoppers (Orthoptera: Acrididae): Implications for Climate Change and Habitat Management DENNIS J. FIELDING1 AND LINDA S. DEFOLIART USDAÐARS, Subarctic Agricultural Research Unit, PO Box 757200, Fairbanks, AK 99775 Environ. Entomol. 39(5): 1643Ð1651 (2010); DOI: 10.1603/EN09356 ABSTRACT Accurate models of temperature-dependent embryonic developmental rates are important to assess the effects of a changing climate on insect life cycles and to suggest methods of population management by habitat manipulation. Embryonic development determines the life cycle of many species of grasshoppers, which, in cold climates, spend two winters in the egg stage. Increasing temperatures associated with climate change in the subarctic could potentiate a switch to a univoltine life cycle. However, egg hatch could be delayed by maintaining a closed vegetative canopy, which would lower soil temperatures by shading the soil surface. Prediapause and postdiapause embryonic developmental rates were measured in the laboratory over a wide range of temperatures for Melanoplus borealis Fieber and Melanoplus sanguinipes F. (Orthoptera: Acrididae) A model was Þt to the data and used to predict dates of egg hatch in the spring and prediapause development in the fall under different temperature regimens. Actual soil temperatures were recorded at several locations over 5 yr. To simulate climate warming, 2, 3, or 4⬚C was added to each hourly recorded temperature. Results suggest that a 2, 3, or 4⬚C increase in soil temperatures will result in eggs hatching ⬇3, 5, or 7 d earlier, respectively. An increase of 3⬚C would be required to advance prediapause development enough to allow for a portion of the population to be univoltine in warmer years. To simulate shading, 2 and 4⬚C were subtracted from observed temperatures. A 4⬚C decrease in temperatures could potentially delay hatch by 8 d. KEY WORDS Orthoptera, Acrididae, insect life cycles, voltinism, global warming Many insects living in cold climates have a multi-year life cycle (Alexander 1973, Mikkola 1976, Heliovaara and Vaisanen 1984, Kukal and Kevan 1987), including some species of grasshoppers which spend two winters in the egg stage (Kreasky 1960, Fielding 2008). The life cycle of these grasshoppers is determined in large part by temperature-dependent rates of embryonic development (Fielding 2006, 2008). Grasshoppers in regions with a short growing season oviposit late in the summer when cool soil temperatures permit only limited morphological development during the remainder of the season. During the following summer, embryonic development proceeds until diapause intervenes. Diapause is terminated during the ensuing winter, and hatching occurs in the second summer. In warmer climates where grasshoppers are mostly univoltine, soil temperatures are warm enough for embryos to reach diapause during the Þrst summer and hatching can occur the following summer. Furthermore, in some populations where warm seasons are long enough for a complete life cycle in 1 yr, eggs may hatch after overwintering regardless of the stage of development attained by the embryos (Church and 1 Corresponding author, e-mail: dennis.Þelding@ars.usda.gov. Salt 1952, Cherrill and Begon 1991, Fielding 2008). This avoidance of diapause ensures a univoltine life cycle even in eggs produced too late in the season to attain diapause stage before winter (Fielding 2006). As climate change proceeds and growing seasons lengthen, the cline from multivoltine to univoltine to semivoltine (biennial) life cycles of insects may be expected to shift to higher latitudes and altitudes (Morimoto et al. 1998, Musolin 2007, Tobin et al. 2008, Altermatt 2010, Martin-Vertedor et al. 2010). In the case of grasshoppers where oviposition begins shortly after adult eclosion and continues as long as adults survive or until cool temperatures in the fall curtail oviposition, the population of overwintering embryos will be in various stages of development, depending on when the eggs were produced (Gage et al. 1976). Thus, warmer soil temperatures associated with climate change in the subarctic may permit more advanced development before the onset of winter and could allow for a portion of the population to attain a univoltine life cycle. Surface air temperatures in the summer in Alaska are projected to increase by 2Ð 4⬚C before the end of this century (Christensen et al. 2007). An assessment of the effects of climate change on grasshopper life cycles therefore depends in large 0046-225X/10/1643Ð1651$04.00/0 䉷 2010 Entomological Society of America 1644 ENVIRONMENTAL ENTOMOLOGY part on accurate temperatureÐ developmental rate functions. Rates of embryonic development are also germane to grasshopper pest management through habitat manipulation. Vegetation height and growth form can alter the microclimate experienced by grasshoppers with consequences for subsequent population dynamics (Branson et al. 2006). For instance, grazing by livestock can increase temperatures in the soil where grasshopper eggs are deposited (OÕNeill et al. 2003). Increased shading by greater canopy coverage by shrubs or a thick layer of plant litter may reduce soil temperatures, delaying hatch (Pierson and Wight 1991). Grasshopper hatching phenology relative to host plant availability and quality is an important component of Þtness (Mukerji et al. 1977). Experiments by Pickford (1960) in Saskatchewan showed that M. sanguinipes that hatched later in the season had reduced nymphal survival and adult fecundity. The objective of previous studies of embryonic development and grasshopper phenology typically was to predict the timing of egg hatch (Gage et al. 1976, Kemp and Sanchez 1987) as an aid for scheduling sampling and control activities. The objective of this study is to predict the effect of altered temperature regimens, such as may result from global climate change or different vegetative covers, on the life cycles of grasshoppers in high-latitude populations. Two common crop pests from the subarctic, Melanoplus borealis Fieber and M. sanguinipes F. (Orthoptera: Acrididae), were studied, and for comparative purposes, a population of M. sanguinipes from Idaho, a region with a longer growing season. Egg pods obtained from laboratory-reared grasshoppers were incubated at various temperatures to determine rates of prediapause (from ovipostion to diapause) and postdiapause development (from diapause completion to hatch). Temperature-developmental rate functions were Þtted to the data and used to estimate embryological development in the Þeld using soil temperatures recorded over several years. Materials and Methods Population Origins, Rearing Methods. Eggs were obtained from laboratory colonies of M. borealis and M. sanguinipes. The Idaho population of M. sanguinipes was initiated with at least 200 individuals collected near Lewiston, ID (46.38⬚ N, 117.02⬚ W, 450-m elevation) as fourth and Þfth instars in 2003 and 2004. Laboratory colonies of M. sanguinipes and M. borealis from Alaska were initiated with similar numbers of insects collected near Delta Junction, AK (64.00⬚ N, 145.73⬚ W, 400-m elevation). Grasshoppers were maintained on romaine lettuce and wheat bran at room temperature with incandescent lights (16-h photophase) suspended above the cages to allow the grasshoppers to self-regulate their internal temperatures. Plastic cups (500 ml) of moist sand were provided for oviposition. Offspring from the Þeld-collected grasshoppers were reared under the same conditions described above, and all experiments were conducted on F2 and F3 generation eggs to avoid ma- Vol. 39, no. 5 ternal effects from the Þeld-collected generation. Oviposition cups were sifted daily to obtain egg pods of known age. Egg pods were stored in moistened vermiculite in small plastic cups (50 ml) with perforated lids. Populations were reared separately to avoid outcrossing, and we assumed no artiÞcial selection in the laboratory environment had occurred within the one or two generations. Eggs were incubated in controlled environment chambers with temperature control of ⫾0.5⬚C. Preand postdiapause developmental rates (1/d) were determined at Þve constant temperatures from 18 to 30⬚C at 3⬚ intervals. Some development may occur at temperatures too low to permit hatching, or in the case of prediapause development, rates at low temperatures may be nonzero, but be so slow as to make multiple experiments impractical. To estimate developmental rates at such low temperatures, four diurnally alternating temperature regimens (27:9, 27:12, 27:15, and 27:18⬚C, each with 12:12-h thermoperiods) were used. Developmental rates at these lower temperatures were estimated as the rate observed under the alternating temperatures minus one half the known daily rate of development at 27⬚C. For example, if there were no development occurring during the low temperature phase of the diurnal thermoperiod, the time it takes for an embryo to go from oviposition to diapause at an alternating temperature regimen would be double the time required at 27⬚C. Postdiapause Development. Eggs pods were maintained at 24 ⫾ 1⬚C for 40 d to ensure that the embryos were in diapause. These egg pods were transferred to 5⬚C during diapause development. After at least 90 d at 5⬚C, egg pods were transferred to one of the nine experimental temperatures and inspected daily until hatching ceased (or after 45 d if no hatching occurred). The number of days to hatch was determined in at least 125 eggs at each of the temperature regimens described above. Logistic regression was used to generate estimates of median time to hatch. After 5 d without any new hatches, any remaining unhatched eggs were examined to determine whether the egg was viable (fully formed embryo), and percentage of viable, unhatched eggs was calculated. Prediapause Development. The timing of diapause induction was determined by measuring CO2 production by the embryos at each of the temperature treatments. As an insect embryo enters diapause, respiration rate drops dramatically, providing a reliable indicator of diapause status (Gray et al. 1991). Eggs were carefully removed from pods with the chorion intact and placed in 5-ml syringes equipped with stopcocks. Three milliliters of room air, which had passed through a soda-lime column to remove CO2 and then through distilled water to prevent drying of the eggs, was drawn into the syringes, which were sealed. Syringes were incubated at 22 ⫾ 1⬚C for 18 Ð24 h. For every nine syringes with eggs, one empty syringe was included as a control. CO2 was measured with an infrared gas analyzer (LI-6252; LICOR, Lincoln, NE). Two milliliters of air from the syringes was injected into a CO2-free airstream and passed through a October 2010 FIELDING AND DEFOLIART: EMBRYONIC DEVELOPMENTAL RATES IN GRASSHOPPERS magnesium perchlorate column to remove water before passing through the gas analyzer. Flow rate was maintained at 100 ml/min STP with a mass ßow controller (C100 SmartTrak; Sierra Instruments, Monterey, CA). Analog signals from the CO2 analyzer were converted to digital output (ppm) and recorded with a computer running data acquisition software (Sable Systems, Las Vegas, NV). By integrating the concentration of CO2 in the airstream against time, the total milliters of CO2 in the 2-ml air sample was determined. CO2 produced by the egg was calculated by subtracting the volume of CO2 measured from the empty syringe (⬍10% of that found in syringes with eggs) and correcting for the total volume of the syringe while incubating (3 ml). Results were converted to microliters CO2 per hour per egg. Respiration rates were measured in samples of 18 Ð30 eggs at 2-d intervals as they approached diapause. New eggs were used at each sampling, i.e., repeat measurements were not made on individual eggs. Previous studies showed that CO2 production declined from a peak of ⬇0.4 Ð 0.5 l/h/egg (for M. sanguinipes and M. borealis, respectively) shortly before diapause, to ⬇0.1 l/h/egg during diapause (Fielding 2008). For both populations of M. sanguinipes, a rate of 0.30 l CO2/h/egg was used to indicate the beginning of diapause. A higher rate, 0.35 l CO2/ h/egg, was used for M. borealis because previous studies indicated that eggs of this species had higher respiration rates (Fielding 2008). The time required for embryos to reach the diapause stage was calculated from the linear regression of respiration rate on age, from the time of peak respiration rate until respiration declined to diapause levels (Proc GLM, SAS Institute, 2003). ConÞdence limits for the estimates of the age at which diapause begins were calculated using the method described in Zar (1999) for calculating inverse conÞdence limits. After respiration rates had dropped to diapause levels, several embryos from each temperature treatment were examined to verify the stage of development at diapause. QuantiÞable morphological signposts are difÞcult to discern at later stages of development, but the length of the hind femur in relation to the abdominal segments is an indicator of embryonic development (Slifer 1932, Moore 1948, Salt 1949, Salzen 1960). For each embryo examined, the nearest onehalf abdominal segment to which the distal end of the hind femur reached was recorded. Model Fitting. A function developed by Logan et al. (1976), and modiÞed by Lactin et al. (1995), was used to model developmental rates (1/d, where d is the number of days required to reach a given developmental stage) as a function of temperature. The modiÞcation of LoganÕs original function by Lactin et al. (1995) allows for two equations relating development to temperature. The Þrst is r共T兲 ⫽ e 共*T兲 ⫺ e 共*Tmax ⫺ 共Tmax ⫺ T兲/⌬兲 [1] where T is temperature, r(T) is the temperature-speciÞc rate of development, and , Tmax, and ⌬ are parameters to be Þt to the data. This Þrst equation has no 1645 threshold of development at low temperatures but only approaches zero asymptotically. The second equation is similar to the Þrst r共T兲 ⫽ e 共*T兲 ⫺ e 共*Tmax ⫺ 共Tmax ⫺ T兲/⌬兲 ⫺ [2] but with the addition of a constant, , that allows for rates of development of zero or less. In practice, predicted negative developmental rates were set to zero. Both equations were Þt to the pre- and postdiapause data using maximum likelihood methods (Proc model, SAS Institute 2003). The better Þtting model for each data set, as determined by log likelihood and adjusted r2, was used to model developmental rates. Field Measurements. Soil temperatures at a depth of 2 cm, the approximate depth of grasshopper egg pods in Alaska, were recorded at Þve locations southeast of Delta Jct., AK, in 2000, 2002, 2004, 2006, and 2008 (years of abundant grasshopper populations), using thermocouples and data loggers (Onset Computing, Bourne, MA and Campbell ScientiÞc, Logan, UT). The Þve locations were within a radius of 15 km of one another and represented a range of herbaceous plant communities common to roadsides, Conservation Reserve Program Þelds, and pastures known to support abundant populations of grasshoppers. Common grasses (Cyperales: Poaceae) included native species [Calamogrostis canadensis (Michx.) P. Beauv., Poa L. spp.] and introduced species (Bromus inermis Leyss., Festuca rubra L., Hordeum jubatum L.). Common forbs included native perennial species [Chamerion angustifolium L. Holub (Myrtales: Onagraceae), Cornus canadensis L. (Cornales: Cornaceae), Fragaria virginiana Duchesne (Rosales: Rosaceae), and introduced annuals (Crepis tectorum L. (Asterales: Asteraceae), Taraxacum officialis F. H. Wigg. (Asterales: Asteraceae)]. Woody plant species included Vaccinium L. spp. (Ericales: Ericaceae), Salix L. spp. (Salicales: Salicaceae), and Rosa acicularis Lindl. (Rosales: Rosaceae). Thermocouples were installed in the spring shortly after the ground thawed. Temperature was recorded hourly throughout the growing season, usually until mid-September. Only M. borealis was abundant enough to provide data for model veriÞcation. The postdiapause developmental model was veriÞed by comparing predicted dates of egg hatch to that observed in the Þeld. The prediapause developmental model was veriÞed by comparing the developmental stage predicted to be attained by embryos in the fall to that observed in eggs recovered from natural populations in the Þeld. To estimate embryonic development based on soil temperatures, rates of development were calculated for each hourly temperature using either equation 1 or 2 (and divided by 24 to obtain proportional development per hour). These estimates of hourly proportional development were summed. Diapause initiation (in the case of prediapause development) or hatching (postdiapause development) was predicted to occur on the date when cumulative proportional development equaled 1.00. Postdiapause development rate summation was initiated as soon as the thermocouples were installed in the spring. Prediapause developmental rate summation was initiated on 1646 ENVIRONMENTAL ENTOMOLOGY Table 1. Postdiapause development times (days to hatch ⴞ SE) for grasshopper embryos at various temperatures Species (population) Temperature M. borealis (AK) M. sanguinipes (AK) M. sanguinipes (ID) 27/9a 27/12a 12 27/15a 15 27/18a 18 21 24 27 30 6.6 ⫾ 0.09 6.0 ⫾ 0.06 25.1 ⫾ 0.22 5.6 ⫾ 0.04 20.7 ⫾ 0.26 5.8 ⫾ 0.06 11.7 ⫾ 0.07 7.0 ⫾ 0.06 5.4 ⫾ 0.05 4.1 ⫾ 0.10 3.4 ⫾ 0.03 9.1 ⫾ 0.04 8.2 ⫾ 0.06 Ñb 6.8 ⫾ 0.04 26.5 ⫾ 0.22 7.1 ⫾ 0.09 13.7 ⫾ 0.07 9.1 ⫾ 0.06 6.4 ⫾ 0.06 4.8 ⫾ 0.04 3.5 ⫾ 0.04 9.9 ⫾ 0.07 10.7 ⫾ 0.07 Ñb 9.4 ⫾ 0.06 Ñb 9.1 ⫾ 0.09 18.7 ⫾ 0.08 11.4 ⫾ 0.10 7.9 ⫾ 0.05 5.8 ⫾ 0.05 4.7 ⫾ 0.04 a b Diurnally alternating temperatures, 12 h at each temperature. No eggs hatched in this group. the date when oviposition was estimated to have begun, i.e., 7 d after 50% of natural populations of M. borealis had reached the adult stage (determined from sweep samples). Because data are not currently available regarding the duration of the preoviposition period, the 7-d interval was based on preliminary data from the laboratory and Þeld observations. Hatch date in Þeld was estimated from the occurrence of Þrst instars in the Þeld. Sweep samples were taken weekly at each of the Þve locations where soil temperatures were recorded. Median hatch date was estimated to be 3 d previous to the sample date with the largest numbers of Þrst-instar M. borealis. Because populations of M. borealis were sparse at some of the locations in some years, data were pooled over all Þve locations, and a single hatch date was estimated for all locations. The median predicted hatch dates from the Þve locations were compared with the observed hatch date. The stage of development attained by prediapause embryos in the Þeld was observed in 2004, 2006, and 2008. In the late fall, after soil temperatures had dropped below 10⬚C consistently, soil samples were sieved to recover egg pods laid during the summer. Forty 0.25-m2 samples, 5 cm deep, were taken near the locations where the soil temperature sensors were installed. Eggs that were recovered were refrigerated (5⬚C) until they could be examined to determine stage of development. Because all eggs within a pod were at a similar stage of development, each pod was considered a single observation. Soil Temperatures and Climate Change Scenarios. Average near-surface air temperatures during the summer months in the interior of Alaska are estimated Table 2. Vol. 39, no. 5 to increase by 2.5Ð3.0⬚C before the end of the century (Christensen et al. 2007). As an approximation of the effects of increasing temperatures on the life cycle of northern grasshoppers, three climate warming scenarios were simulated by adding 2, 3, or 4⬚C to each hourly temperature recorded in the Þeld. Dates of completed development were recalculated. To account for earlier hatching and more rapid nymphal development under the climate change scenario, prediapause development rate summation was initiated 5, 7, and 9 d earlier for soil temperature increases of 2, 3, and 4⬚C, respectively. The degree of acceleration of nymphal developmental rates were estimated using a model of nymphal development for M. sanguinipes in Alaska (Fielding 2004) using similar methods as for estimation of embryonic development described here. Nymphal developmental times were not predicted to be as strongly affected by increased air temperatures compared with embryonic developmental times, because grasshoppersÕ internal temperatures are somewhat independent of air temperatures because of thermoregulatory behavior. Finally, the latest date on which eggs produced were predicted to hatch the following year and the length of time available to produce offspring with a 1-yr life cycle were estimated. Results Stage of Diapause. Examination of embryos suggested that M. borealis diapauses in a slightly later stage of development than M. sanguinipes. There was no difference between the two populations of M. sanguinipes in terms of femur length of the diapausing embryos (mean abdominal segment ⫾ SE, 6.8 ⫾ 0.05 and 6.7 ⫾ 0.05 for Alaska and Idaho, respectively; F1,124 ⫽ 0.8, P ⫽ 0.36). Femurs of M. borealis reached signiÞcantly further toward the end of the abdomen than M. sanguinipes (7.4 ⫾ 0.05 versus 6.7 ⫾ 0.04 for M. borealis and M. sanguinipes, respectively; F1,185 ⫽ 99.4, P ⬍ 0.0001). Postdiapause Development. Eggs of M. borealis hatched in the least amount of time at every temperature, and the Alaska population of M. sanguinipes required less time than those from Idaho (Table 1). Some of these differences could be attributed to diapausing at a later stage of development by M. borealis but not for the two populations of M. sanguinipes. Equation 1, without a developmental threshold, provided a slightly better Þt to the data for each group of grasshoppers (Table 2; Fig. 1). For M. borealis, the log likelihood was 29.0 and 27.7 for equations 1 and 2, Maximum likelihood parameter estimates (SE) of temperature–postdiapause developmental rate functions Species (population) Parameter Tmax ⌬ Adjusted r2 M. borealis M. sanguinipes (AK) M. sanguinipes (ID) 0.147893 ⫾ 0.0764 41.3681 ⫾ 34.1825 6.74757 ⫾ 3.4798 0.917 0.186295 ⫾ 0.0616 38.8245 ⫾ 16.3112 5.364376 ⫾ 1.7713 0.957 0.237688 ⫾ 0.0444 34.1568 ⫾ 5.2365 4.20647 ⫾ 0.7844 0.959 October 2010 FIELDING AND DEFOLIART: EMBRYONIC DEVELOPMENTAL RATES IN GRASSHOPPERS 1647 Table 4. Median prediapause development times at various temperatures (°C) measured as age in days (90% CI) at which respiration rate drops below 0.30 (0.35 for M. borealis) l/egg/h Species (population) Temperature 27/9a 27/12a 27/15a 27/18a 18 21 24 27 30 Fig. 1. Rate of postdiapause development as a function of temperature. Squares, M. sanguinipes from Idaho; triangles, M. sanguinipes from Alaska; circles, M. borealis. Open symbols, rates measuremented at constant temperatures; closed symbols, rates estimated from alternating temperatures. respectively. For M. sanguinipes from Alaska, the log likelihood was 35.7 for equation 1, and the routine failed to converge on parameter estimates for equation 2. For M. sanguinipes from Idaho, log likelihood was 35.7 and 34.5 for equations 1 and 2, respectively. Eggs of M. borealis were the only group to hatch at 12⬚C constant temperature. Both species from Alaska hatched at 15⬚C constant temperature, but not M. sanguinipes from Idaho (Table 1). Percentage hatch was ⬎85% for all treatments where any hatching occurred within 45 d. Predicted egg hatch dates for M. borealis differed from observed egg hatch dates from 6 d too early to 5 d too late but did not show any trend toward under- or overestimation of hatch dates (Table 3). Field sampling was only conducted once per week, so the observed dates of hatch did not have Þne resolution, but the 2 yr with earliest observed hatch dates (2002 and 2004) were also the two earliest dates predicted, and the year with latest observed hatch (2008) was also the latest predicted hatch date (Table 3). The model predictions of the magnitude of change resulting from altered temperature regimens were consistent (Table 3) among years, providing a relative approximation of the effects of altered temperature regimens on hatch date. The model indicated that hatching could occur 3 or 4 d earlier with a 2⬚C increase in soil temperatures a M. borealis M. sanguinipes (AK) M. sanguinipes (ID) 44.6 (48Ð41) 44.3 (48Ð40) 35.9 (39Ð32) 35.0 (39Ð31) 77.2 (84Ð70) 47.6 (51Ð43) 28.4 (33Ð23) 22.3 (27Ð17) 19.5 (23Ð14) 44.5 (48Ð41) 41.9 (47Ð37) 35.2 (39Ð32) 34.9 (38Ð32) 73.8 (81Ð66) 46.9 (52Ð41) 29.2 (34Ð23) 24.1 (28Ð20) 16.9 (20Ð13) 35.9 (39Ð33) 34.8 (40Ð30) 29.7 (33Ð25) 28.1 (32Ð24) 62.4 (70Ð53) 35.8 (40Ð31) 21.6 (25Ð18) 17.8 (20Ð15) 12.9 (18Ð7) Diurnally alternating temperatures, 12 h at each temperature. and 5 or 6 d earlier with a 4⬚C increase (Table 3). If the soil was 2⬚C cooler, hatching was predicted to occur 3Ð 4 d later or 7Ð 8 d later if soils were 4⬚C cooler (Table 3). Prediapause Development. The relationship among the different groups of grasshoppers in terms of speed of prediapause development was reverse that of postdiapause development. Prediapause development, from oviposition to diapause, was more rapid in the Idaho population of M. sanguinipes compared with the other grasshoppers (Table 4; Fig. 2) at temperatures of 21⬚C or greater. Prediapause development was very slow at 18⬚C constant temperature for all populations. Equation 2 (Table 5), with a deÞned developmental threshold, provided a better description of developmental rates for M. borealis (log likelihood of 42.7 and 44.5 for equations 1 and 2, respectively). Equation 1 (Table 5) Þt the data better for M. sanguinipes from Alaska (log likelihood of 42.5 and 34.5 for equations 1 and 2, respectively), whereas equation 2 Þt the data better for the Idaho population of M. sanguinipes (log likelihood of 39.8 and 42.6 for equations 1 and 2, respectively). The Alaska population of M. sanguinipes Table 3. Observed median hatch dates and predicted hatch dates of M. borealis based on soil temperatures and developmental rates from laboratory Year Observed median hatch date Predicted median hatch date 2000 2002 2004 2006 2008 4 June 28 May 29 May 1 June 5 June 31 May 30 May 23 May 3 June 10 June Differences in predicted hatch date (d) with altered temp regimens ⫺4⬚C ⫺2⬚C ⫹2⬚C ⫹4⬚C ⫹8 ⫹7 ⫹8 ⫹8 ⫹8 ⫹4 ⫹3 ⫹4 ⫹4 ⫹4 ⫺4 ⫺3 ⫺3 ⫺3 ⫺3 ⫺6 ⫺5 ⫺5 ⫺6 ⫺6 Fig. 2. Rate of prediapause development as a function of temperature. Squares, M. sanguinipes from Idaho; triangles, M. sanguinipes from Alaska; circles, M. borealis. Open symbols, rates measuremented at constant temperatures; closed symbols, rates estimated from alternating temperatures. 1648 Table 5. Parameter Tmax ⌬ Adjusted r2 ENVIRONMENTAL ENTOMOLOGY Vol. 39, no. 5 Maximum likelihood parameter estimates (SE) of temperature–prediapause developmental rate functions Species (population) M. borealis M. sanguinipes (AK) M. sanguinipes (ID) 0.195233 ⫾ 0.0771 34.90028 ⫾ 7.3576 5.12121 ⫾ 2.0218 0.00524 ⫾ 0.00686 0.985 0.153766 ⫾ 0.0404 47.2332 ⫾ 24.7931 6.501956 ⫾ 1.7060 Ñ 0.979 0.161437 ⫾ 0.0556 40.2742 ⫾ 9.0704 6.19182 ⫾ 2.1305 0.01003 ⫾ 0.00899 0.989 apparently did not reach zero developmental rate at the temperatures tested (Fig. 2; Table 4), but developmental times for M. borealis at alternating temperatures of 27/9⬚C and 27/12⬚C, and for the Idaho population at 27/9⬚C, were approximately double those at 27⬚C constant, indicating that very little, if any development was taking place during the low temperature phase of the diurnally alternating temperature treatments (Table 4). Estimates of potential development based on soil temperatures were consistent with observations of embryonic development made in 2004, 2006, and 2008. Embryos from pods recovered from the Þeld in 2004 spanned a wide range of development, from very early stages to diapause stage (Fig. 3). Estimates of maximum potential development in 2004 ranged from 0.5 to 1.0 (diapause) over the Þve locations where soil temperatures were monitored (Table 6). In 2006, fewer pods were recovered (11 total), all of which were in earlier stages of development (prekatatrepsis). Estimates of potential development in 2006 did not exceed 0.52 across four locations where soil temperatures were measured (Table 6). In 2008, all eggs were in a very early stage of development, as predicted by the model (Table 6). Over the 5 yr that soil temperatures were measured, estimated maximum prediapause development ranged from 0.24 to 1.08 (proportion of development to diapause) (Table 6). During the warmest year, 2004, two locations had estimates of cumulative development ⬎1.0, suggesting the possibility that, given the current climate regimen, in the warmest microsites during Fig. 3. Relative proportion of prediapause embryonic development completed at the end of the season in eggs of M. borealis recovered from the soil in 2004, 2006, and 2008. warmer years, a small portion of the population may be univoltine. In the climate change scenario with 2⬚C added to each hourly temperature and with development initiated 5 d earlier, only in the warmest year, 2004, was diapause stage predicted to be attained, but with a correspondingly longer interval of time for oviposition during which eggs may be expected to hatch the following year. With a 3⬚C increase in soil temperatures, diapause stage was predicted to be attained by some proportion of the population in 3 of the 5 yr. A 4⬚C increase in soil temperature was required before diapause was predicted to be attained in most, but not all, years (Table 6). Discussion The degree of prediapause development attained in the Þrst year is the key process that determines voltinism in high-latitude populations of grasshoppers. Because grasshopper eggs are immobile, they cannot engage in behavioral thermoregulation and are passive subjects of the thermal environment. Therefore, it is relatively straightforward to predict the effects of reduced temperatures caused by shading of the soil surface or increased temperature caused by climate change on embryonic developmental time. The results indicated that, with increasing soil temperatures, univoltinism is likely to become more common in grasshopper populations that are currently primarily semivoltine. Comparison of the 5 yr of soil temperatures also show considerable variation among years in the amount of prediapause development attained by grasshopper embryos. Annual variation in temperatures suggests that changes in the life cycle of these insects may be erratic, which adds to the complexities of evaluating population responses to altered temperature regimens. The effects of lower soil temperatures on prediapause development were not considered here, because changes of only a few degrees would not slow down prediapause development enough to extend their life cycle an additional year. In contrast to the wide variation in the degree of prediapause development in the fall, observed hatching dates were fairly consistent among years, probably because all embryos are in the same, late stage of development in the year of their hatching. This information is valuable not so much for predicting egg hatch in any given yearÑ egg hatch tends to be very consistent in this region and a calendar may be as useful a tool as any for predicting time of hatchÑ but rather as a means of predicting life cycles. October 2010 Table 6. FIELDING AND DEFOLIART: EMBRYONIC DEVELOPMENTAL RATES IN GRASSHOPPERS 1649 Estimated maximum potential proportion of prediapause development completed at the end of the season by M. borealis Year Start datea Actual soil temperature ⫹2⬚C ⫹3⬚C ⫹4⬚C 2000 2002 2004 2006 2008 23-Jul 16-Jul 5-Jul 21-Jul 20-Jul 0.10Ð0.32 0.32Ð0.59 0.41Ð1.08 (3 d) 0.21Ð0.53 0.10Ð0.24 0.24Ð0.55 0.59Ð0.95 0.68Ð1.50 (17 d) 0.38Ð0.90 0.25Ð0.49 0.39Ð0.74 0.81Ð1.22 (6 d) 0.91Ð1.83 (24 d) 0.53Ð1.15 (6 d) 0.42Ð0.72 0.53Ð0.95 1.08Ð1.52 (12 d) 1.19Ð2.15 (30 d) 0.69Ð1.42 (11 d) 0.60Ð1.00 (1 d) Development was predicted using actual soil temperatures recorded at Þve locations and with 2, 3, or 4⬚C added to each hourly temperature to simulate climate change scenarios. Data show predicted prediapause development from the coolest and warmest of the Þve locations in each of 5 yr. A 1-yr life cycle is predicted by values ⱖ1.0. Values in parentheses are the length of time during which eggs produced are predicted to hatch the following spring. a Estimated date of Þrst oviposition by adult grasshoppers. This date was advanced by 5, 7, and 9 d for the 2, 3, and 4⬚C climate warming scenarios, respectively. The models estimated a delay of 8 d in hatch date resulting from a 4⬚C decrease in soil temperatures. As with prediapause development, predicting the effects of temperature on hatching date is straightforward, but understanding just how such a delay would affect grasshoppersÕ Þtness is not known. In Saskatchewan, Pickford (1960) found that M. sanguinipes that hatched earlier had greater nymphal survival and greater adult fecundity. Although no explanation for the effects of hatching date on nymphal survival was given, Pickford (1960) suggested that cooler temperatures late in the season accounted for reduced fecundity in those that hatched later. In western Canada, hatching by M. sanguinipes may be spread out over a period of several weeks, and the experiments of Pickford (1960) encompassed a similar range of hatch dates. In Alaska, hatching dates are much more compressed. Although it may seem that less variabililty in time of hatch would reduce the amount of variability in Þtness costs because of hatching phenology, it is also likely that, because of the shorter warm season, the Þtness costs may increase at a steeper rate with delayed hatching. The model without a developmental zero (equation 1) provided the better Þt in each case of postdiapause development (Table 2). Eggs of M. sanguinipes did not hatch within 45 d at low constant (12⬚C) temperatures, but rates estimated from the ßuctuating regimens indicate that some development was proceeding. Fisher (1994), working with a population of M. sanguinipes from Montana, reported hatching at 12⬚C after 65 d, but only a low proportion hatched (⬍20%). When using only constant temperature treatments, it might be assumed, incorrectly, that if no hatching occurs, no development is taking place. This may be one reason for the widespread use of models that use a linear, degree-day model that assumes a developmental zero (Gage et al. 1976, Kemp and Sanchez 1987). This observation of a higher temperature threshold for eclosion than for general development may also partially explain the sudden pulse of hatching that typiÞes grasshopper populations in Alaska. Cool soil temperatures may allow embryos to develop to the point of hatching, but actual eclosion may be delayed until soil temperatures exceed the threshold for eclosion. In predicting the effects of altered temperature regimens, we assumed that grasshopper embryos are passive entities subject to the thermal environment. This paradigm ignores the question of whether embryonic developmental rates are Þxed or may evolve in response to changing temperature regimens. The comparison of prediapause and postdiapause developmental rates between the two populations of M. sanguinipes suggests that embryonic developmental rates may be heritable and that genetic diversity for this trait exists. The population from Idaho had the most rapid prediapause development but was the slowest to hatch postdiapause. This pattern could be partially explained by diapausing at an earlier stage of development, but no external differences in diapause stage were observed between the two populations of M. sanguinipes. When comparing total embryonic developmental times (sum of prediapause and postdiapause developmental times), the Idaho population completed development in less time than the Alaskan population at every temperature examined (Tables 1 and 4). If there is a selective advantage to an annual life cycle over a 2-yr life cycle, it is conceivable that faster embryonic developmental rates could evolve in northern populations of grasshoppers, hastening the switch to an annual life cycle. Studies of life histories of insects suggest that changes in numbers of generations per year can be abrupt (Powell and Logan 2005, Fielding 2006). The results presented here indicate that predicted changes in the climate may be enough to make a univoltine life cycle in Melanopline grasshoppers in the interior of Alaska more common. This study focused solely on the effect of temperature on rates of embryonic development. Although voltinism in these insects is determined almost solely by abiotic conditions, the net effect on population dynamics of a change from primarily a biennial life cycle to univoltism is a much more complex question. Logic and empirical research suggest that abiotic and biotic factors will interact to determine the effects of a changing climate on herbivorous insect populations. For example, ambient temperatures may inßuence the intensity of intraspeciÞc competition (Laws and Belovsky 2010), alter predatorÐprey relations and subsequent trophic cascades (Chase 1996), and disrupt phenological synchrony of herbivorous insects and their host plants (van Asch et al. 2007). Hence, a more complete understanding of the response of high-latitude grasshopper population dynamics to altered thermal 1650 ENVIRONMENTAL ENTOMOLOGY conditions will depend on further investigations into factors regulating populations in this environment. Acknowledgments S. Gneiting and W. Connor assisted with Þeld and laboratory work. The manuscript was improved by the comments and suggestions of A. Pantoja, D. Branson, and Þve anonymous reviewers. References Cited Alexander, G. 1973. Uniformity of successive populations of an alpine grasshopper with a two-year diapause. Entomol. News 84: 321Ð328. Altermatt, F. 2010. Climatic warming increases voltinism in European butterßies and moths. Proc. R. Soc. B Biol. Sci. 277: 1281Ð1287. Branson, D. H., A. Joern, and G. A. Sword. 2006. Sustainable management of insect herbivores in grassland ecosystems: new perspectives in grasshopper control. Bioscience 56: 743Ð755. Chase, J. M. 1996. Abiotic controls of trophic cascades in a simple grassland food chain. Oikos 77: 495Ð506. Cherrill, A., and M. Begon. 1991. Oviposition date and pattern of embryogenesis in the grasshopper Chorthippus brunneus (Orthoptera, Acrididae). Holarctic Ecol. 14: 225Ð233. Christensen, J. H., B. Hewitson, A. Busuioc, A. Chen, X. Gao, I. Held, R. Jones, R. K. Kolli, W.-T. Dwon, R. Laprise, et al. 2007. Regional climate projections, pp. 847Ð940. In S. Solomon, D. Qin, M. Manning, Z. Chen, M. Marquis, K. B. Averyt, M. Tignor, and H. L. Miller (eds.), Climate change 2007: the physical science basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom. Church, N. S., and R. W. Salt. 1952. Some effects of temperature on development and diapause in eggs of Melanoplus bivittatus (Say) (Orthoptera: Acrididae). Can. J. Zool. 30: 173Ð184. Fielding, D. J. 2004. Developmental time of Melanoplus sanguinipes (Orthoptera: Acrididae) at high latitudes. Environ. Entomol. 33: 1513Ð1522. Fielding, D. J. 2006. Optimal diapause strategies of a grasshopper, Melanoplus sanguinipes. (http://www.insectscience. org/6.02). Fielding, D. J. 2008. Diapause traits of Melanoplus sanguinipes and M. borealis. Ann Entomol. Soc. Am. 101: 439 Ð 448. Fisher, J. R. 1994. Temperature effect on postdiapause development and survival of embryos of three species of Melanoplus (Orthoptera: Acrididae). Ann. Entomol. Soc. Am. 87: 604 Ð 608. Gage, S. H., M. K. Mukerji, and R. L. Randell. 1976. A predictive model for seasonal occurrence of three grasshopper species in Saskatchewan (Orthoptera: Acrididae). Can. Entomol. 108: 245Ð253. Gray, D. R., J. A. Logan, F. W. Ravlin, and J. A. Carlson. 1991. Toward a model of gypsy-moth egg phenologyÑ using respiration rates of individual eggs to determine temperature time requirements of prediapause development. Environ. Entomol. 20: 1645Ð1652. Heliovaara, K., and R. Vaisanen. 1984. The biogeographical mystery of the alternate-year populations of Aradus cinnamomeus (Heteroptera: Aradidae). J. Biogeogr. 11: 491Ð 499. Vol. 39, no. 5 Kemp, W. P., and N. E. Sanchez. 1987. Differences in postdiapause thermal requirements for eggs of two rangeland grasshoppers. Can. Entomol. 119: 653Ð 661. Kreasky, J. B. 1960. Extended diapause in eggs of high-altitude species of grasshoppers, and a note on food-plant preferences of Melanoplus bruneri. Ann. Entomol. Soc. Am. 53: 436 Ð 438. Kukal, O., and P. G. Kevan. 1987. The inßuence of parasitism on the life history of a high arctic insect, Gynaephora groenlandica (Wocke) (Lepidoptera: Lymantriidae). Can. J. Zool. 65: 156 Ð163. Lactin, D. J., N. L. Holliday, D. L. Johnson, and R. Craigen. 1995. Improved rate model of temperature-dependent development by arthropods. Environ. Entomol. 24: 68 Ð75. Laws, A. N., and G. E. Belovsky. 2010. How will species respond to climate change? Examining the effects of temperature and population density on an herbivorous insect. Environ. Entomol. 39: 312Ð319. Logan, J. A., D. J. Wollkind, S. C. Hoyt, and L. K. Tanigoshi. 1976. An analytic model for description of temperature dependent rate phenomena in arthropods. Environ. Entomol. 5: 1133Ð1140. Martin-Vertedor, D., J. J. Ferrero-Garcia, and L. M. TorresVila. 2010. Global warming affects phenology and voltinism of Lobesia botrana in Spain. Agric. Forest Entomol. 12: 169 Ð176. Mikkola, K. 1976. Alternate-year ßight of northern Xestia species (Lep., Noctuidae) and its adaptive signiÞcance. Ann. Entomol. Fenn. 42: 191Ð199. Moore, H. W. 1948. Variations in fall embryological development in three grasshopper species. Can. Entomol. 80: 83Ð 88. Morimoto, N., O. Imura, and T. Kiura. 1998. Potential effects of global warming on the occurrence of Japanese pest insects. Appl. Entomol. Zool. 33: 147Ð155. Mukerji, M. K., S. H. Gage, and R. L. Randell. 1977. Inßuence of embryonic development and heat on population trend of three grasshopper species in Saskatchewan (Orthoptera: Acrididae). Can. Entomol. 109: 229 Ð236. Musolin, D. L. 2007. Insects in a warmer world: ecological, physiological and life-history responses of true bugs (Heteroptera) to climate change. Global Change Biol. 13: 1565Ð1585. O’Neill, K. M., B. E. Olson, M. G. Rolston, R. Wallander, D. P. Larson, and C. E. Seibert. 2003. Effects of livestock grazing on rangeland grasshopper (Orthoptera: Acrididae) abundance. Agric. Ecosys. Environ. 97: 51Ð 64. Pickford, R. 1960. Survival, fecundity and population growth of Melanoplus bilituratus (Wlk.) (Orthoptera: Acrididae) in relation to date of hatching. Can. Entomol. 92: 1Ð10. Pierson, F. B., and J. R. Wight. 1991. Variability of nearsurface soil temperature on sagebrush rangeland. J. Range Manage. 44: 491Ð 497. Powell, J. A., and J. A. Logan. 2005. Insect seasonality: circle map analysis of temperature-driven life cycles. Theor. Popul. Biol. 67: 161Ð179. Salt, R. W. 1949. A key to the embryological development of Melanoplus bivittatus (Say), M. mexicanus mexicanus (Sauss.) and M. packardii Scudder. Can. J. Res. D 27: 233Ð235. Salzen, E. A. 1960. The growth of the locust embryo. J. Embryol. Exp. Morph. 8: 139 Ð162. SAS Institute, 2003. SAS/STAT userÕs guide. Release 9.1. SAS Institute, Cary, NC. Slifer, E. H. 1932. Insect development IV. External morphology of grasshopper embryos of known age with a known temperature history. J. Morphol. 53: 1Ð22. October 2010 FIELDING AND DEFOLIART: EMBRYONIC DEVELOPMENTAL RATES IN GRASSHOPPERS Tobin, P. C., S. Nagarkatti, G. Loeb, and M. C. Saunders. 2008. Historical and projected interactions between climate change and insect voltinism in a multivoltine species. Global Change Biol. 14: 951Ð957. van Asch, M., P. H. van Tienderen, L.J.M. Holleman, and M. E. Visser. 2007. Predicting adaptation of phenology 1651 in response to climate change, an insect herbivore example. Global Change Biol. 13: 1596 Ð1604. Zar, J. H. 1999. Biostatistical analysis, 4th ed. Prentice-Hall, Englewood Cliffs, NJ. Received 30 November 2009; accepted 26 May 2010.
© Copyright 2025 Paperzz