- Research
- Open access
- Published:
Spatial patterns of insect herbivory within a forest landscape: the role of soil type and forest stratum
Forest Ecosystems volume 8, Article number: 69 (2021)
Abstract
Background
Insect herbivory has profound impacts on ecosystem processes and services. Although many efforts have been made to recognize the main drivers of insect herbivory at different scales, the results are inconsistent. One likely reason is that studies have insufficiently captured the spatially heterogeneous factors such as soil type and forest stratum within the stand that may significantly affect insect herbivory. In particular, there is a lack of studies that address the detailed spatial patterns of insect herbivory which are influenced by these factors.
Methods
We measured the detailed spatial patterns of insect herbivory on cork oak (Quercus variabilis Bl.) in response to soil type (gravel soil and loam) and forest stratum (the upper, lower, and sapling stratum), and correlated these patterns with a set of influencing factors (litter coverage, coverage of shrubs and herbs, soil nutrients, soil moisture, and leaf traits) in a forest landscape.
Results
Generally, insect herbivory was spatially heterogeneous within stands. Herbivory was significantly lower in gravel soil areas than in loam soil areas and the highest herbivory occurred in the lower stratum. However, there were also 41 individual plots in which the highest herbivory occurred in the upper stratum and 29 plots in which the highest herbivory occurred in the sapling stratum. There were significant differences in soil nutrient and water status between soil types, but no significant differences in leaf traits. The effects of forest stratum on leaf traits were also inconsistent with those on insect herbivory.
Conclusions
Leaf traits may not be the main factors influencing insect herbivory in the field. Soil type may have major effects on herbivory patterns by influencing litter coverage while higher coverage of shrubs and herbs may reduce herbivory in the sapling stratum. These findings may advance our understanding of tree-herbivore interactions in real-world situations and have important implications for the sustainable management of forest ecosystems.
Introduction
Insect herbivory has profound effects on ecosystem processes and services by influencing nutrient dynamics (Belovsky and Slade 2001; Frost and Hunter 2004, 2008; le Mellec et al. 2011; Maguire et al. 2015; Metcalfe et al. 2015), affecting the growth, survival, and reproduction of trees (Crawley 1989; Hochwender et al. 2003; Zvereva et al. 2012), demographics and succession of forests (Crawley 1989; Huntly 1991; Barbosa et al. 2005; Karlsen et al. 2013), as well as plant community composition (Crawley 1989; Huntly 1991; Frost and Hunter 2008).
There has been a growing interest in recognizing the key drivers of insect herbivory (e.g. Rossetti et al. 2017; Castagneyrol et al. 2019; Valdés-Correcher et al. 2019). At the landscape scale, numerous studies have demonstrated that landscape context such as patch size, isolation/connectivity have significant effects on insect herbivory (Simonetti et al. 2007; De Carvalho Guimarães et al. 2014; Martinson et al. 2014; Lantschner and Corley 2015; Castagneyrol et al. 2019; Valdés-Correcher et al. 2019). However, the results of these studies are inconsistent and a recent meta-analysis based on 89 individual studies demonstrated that habitat fragmentation had no significant effects on insect herbivory (Rossetti et al. 2017).
At the stand scale, tree diversity has been recognized as an important driver of insect herbivory in forest ecosystems. Many studies have demonstrated that trees grown in monocultures tended to receive more insect herbivory than that associated with other tree species in mixtures (Vehviläinen et al. 2007; Castagneyrol et al. 2014). However, inconsistent results have also been reported that increased tree diversity can increase insect herbivory (Schuldt et al. 2010, 2015; Haase et al. 2015), decrease insect herbivory in certain stratum (Castagneyrol et al. 2019), or have no effects at all (Rosado-Sanchez et al. 2018).
These conflicting results imply that the heterogeneous environment within stands/patches might have considerable effects on insect herbivory. In fact, biotic and abiotic factors such as the radiation, humidity, temperature, wind, and litter as well as vegetation coverage and foliage quality and quantity could vary widely among different spatial locations within stands/patches (Ries et al. 2004; Gámez-Virués et al. 2010; Maguire et al. 2016; Rossetti et al. 2017; Castagneyrol et al. 2019). All of these factors may affect insect herbivory. For instance, many studies have correlated insect herbivory with morphological and functional leaf traits (e.g. toughness, nutrients, or defense compounds). Specific leaf area (SLA) is often considered as an indicator for leaf toughness, which may negatively influence leaf palatability for insect herbivores (Brunt et al. 2006; Zehnder et al. 2009; Stiegel et al. 2017). Higher leaf nitrogen may promote the growth, development, and fecundity of insect herbivores, and increase insect density (Cisneros and Godfrey 2001; Stiling and Moon 2004; Huberty and Denno 2006). In contrast, carbon content can negatively influence leaf palatability (Feeny 1970; Southwood et al. 1986; Schädler et al. 2003; Stiegel et al. 2017). The high content of phenolic compounds may deter insect feeding, reduce insect performance, herbivore densities, and species richness (Rossiter and Baldwin 1988; Forkner et al. 2004). In addition, studies have demonstrated that soil nutrient status can significantly influence leaf traits (Cipollini et al. 2002; Adamidis et al. 2014; Vergara-Gómez et al. 2019), and thus indirectly affect insect herbivory (e.g. Stiling and Moon 2004). As two important components of habitat structure, the vegetation coverage and litter may also have significant effects on insect herbivory by influencing the niches for arthropods (Gámez-Virués et al. 2010).
Studies have shown that herbivory at the edges is often higher than in patch interiors due to the reduction in natural enemy populations and high-quality hosts at the edges (Coley et al. 1985; Meiners et al. 2000; Valladares et al. 2006; Urbas et al. 2007; De Carvalho Guimarães et al. 2014).
The changes in microclimate (Stiegel et al. 2017), leaf traits (Dudt and Shure 1994; Thomas et al. 2010; Stiegel et al. 2017), and predation pressure (Aikens et al. 2013) along vertical gradients in forest canopy can also affect the parallel herbivory pattern. Generally, decreased herbivory patterns from understory to upper stratum have been reported (e.g. Stiegel et al. 2017; Castagneyrol et al. 2019). Thus, understanding both the horizontal and vertical spatial patterns of herbivory within stands is essential for unraveling the mechanisms underlying the complex forces that drive insect herbivory in real-world situations.
From previous observation, we found that different soil types (i.e. gravel soil or loam) might exist within the stand. The litter coverage in loam areas is evidently higher than that in gravel soil areas while insect damage on oak in gravel soil areas appears less than that in loam areas. Therefore, we speculate that soil type may have important effects on insect herbivory. However, perhaps due to the irregular distribution of different soil types, few studies have paid attention to the relationship between soil types and insect herbivory within stands. Whether different soil types can influence insect herbivory by differentially holding leaf litter which may provide shelter for the overwintering insect herbivores, or whether different soil types have contrast soil conditions and thus influence insect herbivory by affecting leaf traits are still unclear. In addition, although the effects of forest stratum on insect herbivory have been examined in studies involving different forests (e.g. European beech, Fagus sylvatica L. or sugar maple, Acer saccharum Marsh.) (Fortin and Mauffette 2002; Stiegel et al. 2017), little such knowledge is known about the cork oak (Quercus variabilis Bl.) forest. Furthermore, previous studies that investigated the spatial patterns of insect herbivory often sampled just a few tree individuals (e.g. 2 or 6) to represent the stand level (e.g. Stiegel et al. 2017; Castagneyrol et al. 2019) or location level (edge vs. interior) within the patch (e.g. Maguire et al. 2016), which may miss some spatial pattern effects or provide biased results. Detailed, fine-grained research involving relatively large numbers of sampling sites within stands is therefore required.
In the present study, we measured the detailed spatial patterns of insect herbivory on cork oak (Quercus variabilis Bl.) within a forest landscape and mainly focused on the effects of soil type and forest stratum on insect herbivory. We also associated the spatial patterns with litter coverage, coverage of shrubs and herbs, soil nutrients (available N, P, K), soil moisture, and leaf traits (specific leaf area, tannin content, soluble sugar content, C content, N content, and C/N ratio) as well as the holding effects of different soil types on withered leaves and discussed the potential mechanisms. We predicted that (i) insect herbivory in gravel soil areas would be lower than that in loam areas; (ii) there would be a generally decreased pattern of insect herbivory from understory to upper stratum; (iii) the spatial patterns of insect herbivory might significantly correlate with litter, coverage of shrubs and herbs, soil conditions and leaf traits. By revealing the detailed spatial patterns of insect herbivory within a landscape and exploring the underlying mechanisms that drive these patterns in real-world situations, our study will offer insights for future studies on tree-herbivore interactions and have important implications for sustainable management of forests.
Materials and methods
Study area
The study was carried out in the west of Dengfeng City, Henan Province, China (34°26′–34°33′ N, 112°44′–113°5′ E). This region is covered by extensive plantations of cork oak (Quercus variabilis Bl.) and some of them contain cypress (Platycladus orientalis (L.) Franco), oriental white oak (Quercus aliena Bl.), and other tree species in minor abundance.
The main insect herbivores on cork oak trees are Culcula panterinaria (Bremer et Grey) (Lepidoptera, Geometridae) and Phalera assimilis (Bremer et Grey) (Lepidoptera, Notodontidae). Both of them are univoltine defoliators (chewers). Their larvae begin to hatch in July and the mature larvae burrow into the soil and pupate for overwintering in September. Based on the satellite image and ground survey, we chose a ca. 200 ha area that was located on the south side of Songshan Mountain for study. We set a 10 m × 10 m plot every 100 m within the area beyond road landscapes and there were 186 plots in total (85 in loam areas, 101 in gravel soil areas). The elevation of these plots varied from 518 to 755 m.
Field investigation and laboratory measurement
The field investigation and leaf measurement were taken in late September 2019. In each plot, litter coverage, coverage of shrubs and herbs were measured. The soil was roughly classified into loam and gravel soil and it was easy to distinguish the soil type by visual judgment (Fig. 1). In each plot, we collected the top 10-cm soil at three random locations and pooled them together as one sample. After the measurement of soil moisture content, all soil samples were air-dried and sieved through a 2-mm mesh. Soil particle-size was determined using Mastersizer 2000 Particle Analyzer (Malvern Panalytical Ltd, Malvern, UK).
We randomly selected individual oak trees in each plot for leaf sampling. The oak tree canopies were divided into three strata in relative terms: the upper stratum, the lower stratum, and the sapling stratum. Thirty mature leaves were haphazardly collected per stratum. For the sapling stratum, leaves from at least 6 saplings were collected by hand. For the upper and lower strata, leaves from at least 3 trees were collected using a 10-m telescopic pole pruner. The leaves collected were stored in zipped plastic bags and put into a cool box immediately. Herbivory was measured in the laboratory. We only estimated the damages caused by chewers since other feeding guilds caused too scant damages for independent analyses. To improve the accuracy of the estimate, we overlaid the leaves on a sheet of blank paper printed with a grid of 0.25 cm2 (0.5 cm × 0.5 cm). We calculated the total leaf missing area divided by the number of leaves analyzed (Castagneyrol et al. 2019).
To further investigate whether the spatial patterns of insect herbivory correlate with soil conditions and leaf traits, we examined soil moisture content and available N, P, and K across 186 plots and randomly selected 6 plots in loam and gravel soil areas respectively to examine the leaf traits including specific leaf area (SLA), tannin content, soluble sugar content, C content, N content in three strata. Soil conditions were measured according to Bao (2000). SLA was measured on 6 mature, fully expanded, and undamaged leaves. Leaf surface and leaf mass were measured with a planimeter (CL-203 Laser Area Meter, Bio-Science Inc., USA) and a balance (JEA3002 Electronic Balance, Shanghai Puchun Metrical Instrument Co., Ltd., China). Tannin content was measured using the ND-1-Y kit (Suzhou Keming Biological Technology Co. LTD). Soluble sugar content was measured using the KT-1-Y kit (Suzhou Keming Biological Technology Co. LTD). The procedures were performed as described by the manufacturer. The leaf C and N contents were determined using an elemental analyzer (HEKAtech GmbH, Wegberg, Germany; Euro EA 3000).
We investigated the overwintering pupae of main insect herbivores in November 2019. Since the density of overwintering pupae may be very low at the background level of insect herbivory, we randomly set three 15 m × 15 m plots on each type of soil (loam or gravel soil) and investigated the entire area in each plot (different from investigating a small area around the base of tree trunk (e.g. radius 100 cm)). We carefully pushed aside the litter and dug the top 10-cm soil to check the number of overwintering pupae and the location of the overwintering pupae inhabit (the litter, the soil under litter, or the bare soil).
The holding effects of soil on withered leaves were tested on loam and gravel soil respectively. We randomly selected 10 withered leaves and put them in a 20 cm × 20 cm area on the ground (loam or gravel soil) with no slope, then we used an electric fan to blow these withered leaves for 10 s (all leaves stopped moving within this time range) and measured the distance between the front edge of the small area and withered leaves that were blown away. The average moved distance per leaf indicated the holding effects of each soil on withered leaves. The shorter the distance, the stronger the holding effect. The annual mean wind speed is 3 m·s− 1 in Dengfeng City (according to the data of the local meteorological station). Although the wind speed may fluctuate, it can be effectively slowed down by tree canopy in the forest and decreases as the height decreases (Lee and Black 1993; Zhu et al. 2004; Ma et al. 2009; Randlkofer et al. 2010). We therefore used a small portable electric fan with three wind speeds (1.5, 2.5 and 4 m·s− 1) and did 6 replications at each wind speed on loam and gravel soil respectively.
Statistical analyses
We applied a linear mixed-effect model (LMM) to analyze the effects of soil type (loam vs. gravel soil) and forest stratum (upper, lower, and sapling) on insect herbivory (186 plots). Soil type, forest stratum, and soil type × forest stratum were included as fixed effects and the identity of study plots as a random factor. We used t-test to compare the difference of coverage of shrubs and herbs between plots that had the highest herbivory in the sapling stratum and plots that had the highest herbivory in the upper or lower stratum. The difference of coverage of shrubs and herbs, litter coverage, percentages of soil particles, and soil nutrients between soil types as well as holding effects of different soil types on withered leaves were analyzed with t-test. Significant interactions between soil type and stratum were treated by estimating contrasts between loam and gravel soil areas for each stratum separately and contrasts among strata for each soil type independently. The relationship between insect herbivory and the coverage of shrubs and herbs was determined by regression analysis. To test the effects of soil type and forest stratum on leaf traits (SLA, tannin content, soluble sugar content, N content, C content), we built another set of LMM (there were 6 plots in loam and gravel soil areas respectively) where the fixed effects and random factor were the same as the first LMM. All analyses were conducted using IBM SPSS Statistics 20 (SPSS Inc, Chicago, IL, USA) and the graphs were plotted using Origin 2018 (OriginLab, Northampton, MA, USA).
Geostatistical analysis
The spatial variability of insect herbivory was determined by geostatistical methods using semivariogram analysis. The semivariogram was calculated for each variable as follows:
where, r(h) is the sample semivariance for the distance lag h, Z(xi) and Z(xi+ h) are sample values at two points separated by the distance interval h, and N(h) is the total number of sample pairs for the lag interval h. The sample semivariogram was calculated and the best geostatistical model for each parameter was chosen according to the lowest residual sum of squares and the highest r2 values. Spatial dependence of insect herbivory can be evaluated according to Cambardella et al. (1994). If the nugget to sill ratio C0/(C + C0) is > 0.75, the herbivory is thought as weakly spatially dependent; if C0/(C + C0) is between 0.25 and 0.75, the herbivory is considered moderately spatially dependent; and if C0/(C + C0) is < 0.25, the herbivory is regarded to be strongly spatially dependent (Cambardella et al. 1994). If the distribution distances of sampling points are less than the spatial variation range (A), the variable of these points are spatially correlated; if the distances are greater than the range, the variable of these points are independent (Cambardella et al. 1994). The geostatistical analysis was performed using GS + 7.0 (Robertson 2008).
Results
Spatial heterogeneity of insect herbivory
Soil type and forest stratum had significant effects on insect herbivory (soil type: F(1, 184) = 70.05, P < 0.001; stratum: F(2, 368) = 34.14, P < 0.001; soil type × stratum: F(2, 368) = 11.10, P < 0.001). Horizontally, the herbivory of three strata in loam areas was significantly higher than that in gravel soil areas (Figs. 2 and 3). In loam areas, herbivory in the lower stratum was significantly higher than that in the upper and sapling stratum and herbivory in the sapling stratum was significantly lower than that in the upper stratum (Figs. 2 and 3). In gravel soil areas, herbivory was significantly higher in the lower stratum, but it did not differ between the upper and the sapling stratum (Figs. 2 and 3).
In contrast to the general spatial patterns across 186 plots, herbivory in some individual plots in gravel soil areas was higher than that in loam areas and there were also 41 individual plots that the highest herbivory existed in the upper stratum and 29 individual plots that the highest herbivory existed in the sapling stratum. Coverage of shrubs and herbs in these 29 plots was significantly lower than that in plots which had the highest herbivory in the upper or lower stratum (Fig. 4a). Twenty-two out of the 29 individual plots were located in the gravel soil area where the coverage of shrubs and herbs was significantly lower than that in the loam area (n = 85 in loam areas, n = 101 in gravel soil areas, t = 5.893, df = 184, P < 0.001). In the loam area, herbivory in the sapling stratum was negatively correlated with the coverage of shrubs and herbs (Fig. 4b).
Geostatistical parameters of insect herbivory are shown in Table 1. The data of herbivory in upper stratum (HU) and herbivory in sapling stratum (HS) were best fit by exponential models, the data of herbivory in lower stratum (HL) was best fit by the linear model. The C0/(C + C0) values in our study ranged from 0.389 to 0.685, indicating moderately spatial dependence for insect herbivory. The A values ranged from 1,035 to 1,821 m, indicating a strongly structured regional pattern of insect herbivory.
Effects of soil conditions on insect herbivory and effects of soil type and forest stratum on leaf traits
The available N and K contents and soil moisture content of loam were significantly higher than that of gravel soil, but there was no difference in available P content between loam and gravel soil (Fig. 5). Insect herbivory was positively correlated with soil moisture (Fig. 6).
Forest stratum had significant effects on SLA, soluble sugar content, tannin content, N content, and C content, but these leaf traits did not differ between soil types (Table 2). SLA decreased from the sapling stratum to the upper stratum and it was significantly lower in the upper stratum than that in the lower and sapling stratum, but there was no difference between the lower and sapling stratum (Fig. 7). Soluble sugar content in the upper stratum was significantly higher than that in the lower and sapling stratum whereas there was no difference between the lower and sapling stratum (Fig. 7). The tannin content in the sapling stratum was significantly higher than that in the lower and upper stratum but there was no difference between the lower and upper stratum (Fig. 7). N content and C content were lower in the lower stratum than that in the upper and sapling stratum, but the differences were not significant (Fig. 7).
Density of overwintering pupae and holding effects of different soil types on withered leaves
We found 13 overwintering pupae and 37 previous pupal cases left by adults after eclosion. Ten pupae and 25 pupal cases were found in the loam area, 3 pupae and 12 pupae cases were found in the gravel soil area (Table 3). The density of overwintering pupae and pupal cases as well as litter coverage in the loam area were significantly higher than that in the gravel soil area (Fig. 8). All of them were found in the soil under the leaf litter. No pupae or pupal cases were found in the bare soil both in loam and gravel soil areas. The results indicated that litter is necessary for the overwintering of main insect herbivores in the study area. Higher litter coverage in loam areas may provide a better microhabitat for overwintering pupae.
The 1.5 m·s− 1 wind did not blow away the withered leaves on both loam and gravel soil ground. When the wind speed was 2.5 and 4 m·s− 1, the average moved distances of withered leaves on loam ground were significantly smaller than that on gravel soil ground (Fig. 9).
Discussion
Soil type may have major effects on insect herbivory by influencing litter coverage. Soil type and litter coverage were significantly correlated with insect herbivory in three strata. Trials of holding effects showed that withered leaves fell on the gravel soil ground can be blown away easier by the wind (Fig. 9). In addition, the coverage of shrubs and herbs which can help to block and hold the leaf litter is significantly lower in gravel soil areas than that in loam areas. These may be why the litter coverage in gravel soil areas is significantly lower than that in loam areas (Fig. 3). Our survey indicated that leaf litter which provided the shelter of overwintering pupae might play an important role in the survival of main insect herbivores in the study area. The horizontal distribution pattern of herbivory (especially in the lower stratum) was generally following that of litter coverage (Fig. 3), implying the evident effects of litter coverage on insect herbivory. In geostatistical analysis, the C0/(C + C0) values (0.389–0.685) indicated moderately spatial dependence for insect herbivory while the large spatial range (1035–1821 m) indicated a strongly structured regional pattern of insect herbivory (Liu et al. 2014). These results could also imply the effects of relatively concentrated soil types and litter coverage (Fig. 3) on insect herbivory.
Leaf traits may not be the key factors influencing insect herbivory in the field. Horizontally, although the available N and K contents and soil moisture of loam were significantly higher than that of gravel soil, which is in accordance with the pattern of insect herbivory, all the leaf traits were not different between soil types. Therefore, our results do not support that the nutrient and water status of different soil types within stands can influence insect herbivory by affecting leaf traits. Vertically, many studies have suggested that the effects of environmental factors on insect herbivory that generally decreases from understory to upper stratum can be mediated by leaf traits (e.g. Stiegel et al. 2017; Castagneyrol et al. 2019). Although our pattern of increasing SLA from upper to sapling stratum coincides with previous studies (Ellsworth and Reich 1993; Koike et al. 2001; Al Afas et al. 2007; Stiegel et al. 2017; Castagneyrol et al. 2019), the vertical herbivory pattern does not (Figs. 2 and 7). The effects of forest stratum on SLA, tannin content, soluble sugar content, N content, and C content were also inconsistent with that on insect herbivory (Figs. 2 and 7). It is widely believed that unfavorable leaf traits (e.g., lower SLA, lower nitrogen content, and higher carbon content) indicate the lower leaf quality and could negatively influence leaf palatability and consequently suppress higher herbivory (Feeny 1970; Coley et al. 1985; Reynolds and Crossley 1997; Brunt et al. 2006; Zehnder et al. 2009; Stiegel et al. 2017; Castagneyrol et al. 2019). However, studies have further demonstrated that leaf palatability or insect performance is not consistently related to insect herbivory levels in the field and to the measured leaf traits (Fortin and Mauffette 2002; Niesenbaum and Kluger 2006; Ruhnke et al. 2009; Alalouni et al. 2014). Insect herbivores can also be forced to increase their feeding rates on low-quality plants to compensate for the decline in food quality (Lincoln et al. 1993; Castagneyrol et al. 2018). This indicates that low leaf quality per se may have divergent effects on insect herbivory. The lepidopterous larva is one of the keystone “forest pests” in many temperate forests (Feeny 1970; Nothnagle and Schultz 1987; Kamata 1991). Although leaf damage is caused by the larva, transfer (usually passive) scope of the larva is limited at background herbivory level (White and Whitham 2000), patterns of herbivory are molded by a variety of factors that influence host accessibility to its female adult (Beyaert and Hilker 2014; Webster and Cardé 2017; Castagneyrol et al. 2019; Shao et al. 2019). When the food is plentiful in the field, there is no adequate evidence to support that the larvae can/need actively search for more palatable leaves within a host tree (except that newly hatched larvae may need to feed on young leaves) or more palatable host trees among different individuals for feeding. Thus, leaf traits that indicate leaf quality/palatability may not exert significant effects on the patterns of herbivory on a host tree species in the field.
On the other hand, entomopathogenic fungi, which can cause high mortality of overwintering insect herbivores (Kienzle et al. 2008; Kova et al. 2021), have been considered as important lethal factors of insects and thus may have significant effects on insect herbivory (Vega et al. 2009). Their growth and infection efficiency can be influenced by weather conditions (temperature and humidity) (Kienzle et al. 2008; Eilenberg et al. 2013), soil moisture (Fuxa and Richter 2004), and nutrition in the habitat (Pereira et al. 1993; Jackson et al. 2009). Our results showed that soil available N and K contents and soil moisture, as well as insect herbivory in the loam area, were significantly higher than that in the gravel soil area (Figs. 2 and 5). Insect herbivory was positively correlated with soil moisture (Fig. 6). These results imply that soil nutrient and water status may also have important effects on insect herbivory by influencing entomopathogenic fungi. However, the insect-fungus interactions that respond to soil conditions could be very complex. For example, the Beauveria bassiana can survive better in relatively dry soil (Lingg and Donaldson 1981; Studdert et al. 1990) but cause no difference in the mortality of Spodoptera exigua between different soil moistures (Studdert and Kaya 1990). Another study reported that the highest mortality of Solenopsis invicta Buren caused by Beauveria bassiana occurred at a moderate soil moisture level between “wet” and “dry” (Fuxa and Richter 2004). Thus, in our study area, the abundance and diversity of fungi in the soil, the optimum range of soil moisture and other environmental factors for the infection of fungi, and the exact contribution of entomopathogenic fungi to the spatial patterns of insect herbivory still need further examination.
The coverage of shrubs and herbs negatively influenced oak herbivory in the sapling stratum. The pattern that herbivory in the sapling stratum was significantly lower than that in the lower stratum in our study differs from other studies (e.g. Stiegel et al. 2017; Castagneyrol et al. 2019). Beyond the general herbivory pattern among strata, there were 29 individual plots that the highest herbivory existed in the sapling stratum. The coverage of shrubs and herbs in these plots was significantly lower than that in other plots (Fig. 4a). In the loam area, herbivory in the sapling stratum was negatively correlated with the coverage of shrubs and herbs (Fig. 4b). Previous studies have demonstrated that greater herbivore species richness and abundance may occur on the plants that offer larger resources (Bach 1980; Evans 1983; Marques et al. 2000; Barbosa et al. 2009; Leidinger et al. 2019). The identity and diversity of surrounding plants can also influence herbivory on host plants by altering the physical and chemical apparency of focal plants (Finch and Collier 2000; Castagneyrol et al. 2013; Moreira et al. 2016). In this study area, the range of Quercus variabilis Bl. sapling height was 10 to 150 cm while many shrubs grew more than 200 cm. The biomass of saplings is “tiny” relative to their adults and most of the saplings are surrounded by grasses and shrubs, which can decrease the physical and chemical apparency of the oak saplings, which may be why the herbivory in sapling stratum is significantly lower than that in lower stratum.
Conclusions
Insect herbivory was spatially heterogeneous within stands. In general, herbivory was significantly lower in gravel soil areas than in loam soil areas. The highest herbivory occurred in the lower stratum, the lowest in the sapling stratum. However, there were also 41 individual plots in which the highest herbivory occurred in the upper stratum and 29 plots in which the highest herbivory occurred in the sapling stratum. There were significant differences in soil nutrient and water status between soil types, but differences in leaf traits were not significant. The effects of the forest stratum on leaf traits were inconsistent with those on insect herbivory. Leaf traits may not be the main factors influencing insect herbivory in the field. Soil type may have a prominent effect on herbivory patterns due to changes in litter composition while higher coverage of shrubs and herbs may reduce herbivory in the sapling stratum. These findings contribute significantly to our understanding of tree-herbivore interactions in real-world situations and thus have important implications for the sustainable management of forest ecosystems.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
Adamidis GC, Kazakou E, Fyllas NM, Dimitrakopoulos PG (2014) Species adaptive strategies and leaf economic relationships across serpentine and non-serpentine habitats on Lesbos, eastern Mediterranean. PLoS One 9(5):e96034. doi:https://doi.org/10.1371/journal.pone.0096034
Aikens KR, Timms LL, Buddle CM (2013) Vertical heterogeneity in predation pressure in a temperate forest canopy. PeerJ 1(1):e138. doi:https://doi.org/10.7717/peerj.138
Al Afas N, Marron N, Ceulemans R (2007) Variability in Populus leaf anatomy and morphology in relation to canopy position, biomass production, and varietal taxon. Ann For Sci 64(5):521–532. doi:https://doi.org/10.1051/forest:2007029
Alalouni U, Brandl R, Auge H, Schädler M (2014) Does insect herbivory on oak depend on the diversity of tree stands? Basic Appl Ecol 15(8):685–692. doi:https://doi.org/10.1016/j.baae.2014.08.013
Bach CE (1980) Effects of plant density and diversity on the population dynamics of a specialist herbivore, the striped cucumber beetle. Acalymma Vittata (Fab) Ecology 61(6):1515–1530. doi:https://doi.org/10.2307/1939058
Bao S (2000) Soil agrochemical analysis. China Agricultural Press, Beijing (in Chinese)
Barbosa VS, Leal IR, Iannuzzi L, Almeida-Cortez J (2005) Distribution pattern of herbivorous insects in a remnant of Brazilian Atlantic Forest. Neotrop Entomol 34(5):701–711. doi:https://doi.org/10.1590/s1519-566x2005000500001
Barbosa P, Hines J, Kaplan I, Martinson H, Szczepaniec A, Szendrei Z (2009) Associational resistance and associational susceptibility: having right or wrong neighbors. Ann Rev Ecol Evol Syst 40(1):1–20. doi:https://doi.org/10.1146/annurev.ecolsys.110308.120242
Belovsky GE, Slade JB (2001) Insect herbivory accelerates nutrient cycling and increases plant production. PNAS 97(26):14412–14417. doi:https://doi.org/10.1073/pnas.250483797
Beyaert I, Hilker M (2014) Plant odour plumes as mediators of plant-insect interactions. Biol Rev 89(1):68–81. doi:https://doi.org/10.1111/brv.12043
Brunt C, Read J, Sanson GD (2006) Changes in resource concentration and defence during leaf development in a tough-leaved (Nothofagus moorei) and soft-leaved (Toona ciliata) species. Oecologia 148(4):583–592. doi:https://doi.org/10.1007/s00442-006-0369-4
Cambardella CA, Moorman TB, Novak JM, Parkin TB, Karlen DL, Turco RF, Konopka AE (1994) Field-scale variability of soil properties in central Iowa soils. Soil Sci Soc Am J 58(5):1501–1511. doi:https://doi.org/10.2136/sssaj1994.03615995005800050033x
Castagneyrol B, Giffard B, Péré C, Jactel H (2013) Plant apparency, an overlooked driver of associational resistance to insect herbivory. J Ecol 101:418–429. doi:https://doi.org/10.1111/1365-2745.12055
Castagneyrol B, Jactel H, Vacher C, Brockerhoff EG, Koricheva J (2014) Effects of plant phylogenetic diversity on herbivory depend on herbivore specialization. J Appl Ecol 51(1):134–141. doi:https://doi.org/10.1111/1365-2664.12175
Castagneyrol B, Moreira X, Jactel H (2018) Drought and plant neighbourhood interactively determine herbivore consumption and performance. Sci Rep 8:5930. doi:https://doi.org/10.1038/s41598-018-24299-x
Castagneyrol B, Giffard B, Valdés-Correcher E, Hampe A (2019) Tree diversity effects on leaf insect damage on pedunculate oak: the role of landscape context and forest stratum. Forest Ecol Manag 433:287–294. doi:https://doi.org/10.1016/j.foreco.2018.11.014
Cipollini ML, Paulk E, Cipollini DF (2002) Effect of nitrogen and water treatment on leaf chemistry in horsenettle (Solanum carolinense), and relationship to herbivory by flea beetles (Epitrix spp.) and tobacco hornworm (Manduca sexta). J Chem Ecol 28(12):2377–2398. doi:https://doi.org/10.1023/a:1021494315786
Cisneros JJ, Godfrey LD (2001) Midseason pest status of the cotton aphid (Homoptera: Aphididae) in California cotton: is nitrogen a key factor? Popul Ecol 30(3):501–510. doi:https://doi.org/10.1603/0046-225X-30.3.501
Coley PD, Bryant JP, Chapin FS (1985) Resource availability and plant antiherbivore defense. Science 230(4728):895–899. doi:https://doi.org/10.1126/science.230.4728.895
Crawley MJ (1989) Insect herbivores and plant population dynamics. Ann Rev Entomol 34:531–564. doi:https://doi.org/10.1146/annurev.en.34.010189.002531
De Carvalho Guimarães CD, Viana JPR, Cornelissen T (2014) A meta-analysis of the effects of fragmentation on herbivorous insects. Environ Entomol 43(3):537–545. doi:https://doi.org/10.1603/en13190
Dudt JF, Shure DJ (1994) The influence of light and nutrients on foliar phenolics and insect herbivory. Ecology 75(1):86–98. doi:https://doi.org/10.2307/1939385
Eilenberg J, Thomsen L, Jensen AB (2013) A third way for entomophthoralean fungi to survive the winter: slow disease transmission between individuals of the hibernating host. Insects 4(3):392–403. doi:https://doi.org/10.3390/insects4030392
Ellsworth DS, Reich PB (1993) Canopy structure and vertical patterns of photosynthesis and related leaf traits in a deciduous forest. Oecologia 96(2):169–178. doi:https://doi.org/10.1007/BF00317729
Evans EW (1983) The influence of neighboring hosts on colonization of prairie milkweeds by a seed-feeding bug. Ecology 64(4):648–653. doi:https://doi.org/10.2307/1937184
Feeny P (1970) Seasonal changes in oak leaf tannins and nutrients as a cause of spring feeding by winter moth caterpillars. Ecology 51(4):565–581. doi:https://doi.org/10.2307/1934037
Finch S, Collier RH (2000) Host-plant selection by insects – a theory based on ‘appropriate_inappropriate landings’ by pest insects of cruciferous plants. Entomol Exp Appl 96:91–102. https://doi.org/10.1046/j.1570-7458.2000.00684.x
Forkner RE, Marquis RJ, Lill JT (2004) Feeny revisited: condensed tannins as anti-herbivore defences in leaf-chewing herbivore communities of Quercus. Ecol Entomol 29:174–187. doi:https://doi.org/10.1111/j.1365-2311.2004.0590.x
Fortin M, Mauffette Y (2002) The suitability of leaves from different canopy layers for a generalist herbivore (Lepidoptera: Lasiocampidae) foraging on sugar maple. Can J For Res 32(3):379–389. doi:https://doi.org/10.1139/x01-205
Frost CJ, Hunter MD (2004) Insect canopy herbivory and frass deposition affect soil nutrient dynamics and export in oak mesocosms. Ecology 85(12):3335–3347. doi:https://doi.org/10.1890/04-0003
Frost CJ, Hunter MD (2008) Insect herbivores and their frass affect Quercus rubra leaf quality and initial stages of subsequent litter decomposition. Oikos 117(1):13–22. doi:https://doi.org/10.1111/j.2007.0030-1299.16165.x
Fuxa JR, Richter AR (2004) Effects of soil moisture and composition and fungal isolate on prevalence of Beauveria bassiana in laboratory colonies of the red imported fire ant (Hymenoptera: Formicidae). Environ Entomol 33(4):975–981. doi:https://doi.org/10.1603/0046-225X-33.4.975
Gámez-Virués S, Gurr GM, Raman A, Nicol HI (2010) Plant diversity and habitat structure affect tree growth, herbivory and natural enemies in shelterbelts. Basic Appl Ecol 11(6):542–549. doi:https://doi.org/10.1016/j.baae.2010.02.011
Haase J, Castagneyrol B, Cornelissen JHC, Ghazoul J, Kattge J, Koricheva J, Scherer-Lorenzen M, Morath S, Jactel H (2015) Contrasting effects of tree diversity on young tree growth and resistance to insect herbivores across three biodiversity experiments. Oikos 124(12):1674–1685. doi:https://doi.org/10.1111/oik.02090
Hochwender CG, Sork VL, Marquis RJ (2003) Fitness consequences of herbivory on Quercus alba. Am Midl Nat 150(2):246–253. doi:https://doi.org/10.1674/0003-0031(2003)150[0246:FCOHOQ]2.0.CO;2
Huberty AF, Denno RF (2006) Consequences of nitrogen and phosphorus limitation for the performance of two planthoppers with divergent life-history strategies. Oecologia 149(3):444–455. doi:https://doi.org/10.1007/s00442-006-0462-8
Huntly N (1991) Herbivores and the dynamics of communities and ecosystems. Ann Rev Ecol Syst 22(1):477–503
Jackson MA, Jaronski ST (2009) Production of microsclerotia of the fungal entomopathogen Metarhizium anisopliae and their potential for use as a biocontrol agent for soil-inhabiting insects. Mycol Res 113(8):842–850
Kamata N (1991) Herbivorous insects in beech forests. Soft Science, Inc., Tokyo
Karlsen SR, Jepsen JU, Odland A, Ims RA, Elvebakk A (2013) Outbreaks by canopy-feeding geometrid moth cause state-dependent shifts in understorey plant communities. Oecologia 173(3):859–870. doi:https://doi.org/10.1007/s00442-013-2648-1
Kienzle J, Zimmer J, Volk F, Zebitz CPW (2008) Experiences with entomopathogenic nematodes for the control of overwintering codling moth larvae in Germany. In: Boos M (ed) Ecofruit – 13th international conference on cultivation technique and phytopathological problems in organic fruit-growing: proceedings to the Conference from 18th February to 20th February 2008 at Weinsberg/Germany, pp 277–283
Koike T, Kitao M, Maruyama Y, Mori S, Lei TT (2001) Leaf morphology and photosynthetic adjustments among deciduous broad-leaved trees within the vertical canopy profile. Tree Physiol 21(12–13):951–958. doi:https://doi.org/10.1093/treephys/21.12-13.951
Kova M, Linde A, Lackovi N, Bollmann F, Pernek M (2021) Natural infestation of entomopathogenic fungus Beauveria pseudobassiana on overwintering Corythucha arcuata (Say) (Hemiptera: Tingidae) and its efficacy under laboratory conditions. Forest Ecol Manag 491(2):119193. doi:https://doi.org/10.1016/j.foreco.2021.119193
Lantschner MV, Corley JC (2015) Spatial pattern of attacks of the invasive woodwasp Sirex noctilio, at landscape and stand scales. PLoS One 10(5):e0127099. doi:https://doi.org/10.1371/journal.pone.0127099
le Mellec A, Gerold G, Michalzik B (2011) Insect herbivory, organic matter deposition and effects on belowground organic matter fluxes in a central European oak forest. Plant Soil 342(1–2):393–403. doi:https://doi.org/10.1007/s11104-010-0704-8
Lee X, Black TA (1993) Turbulence near the forest floor of an old-growth douglas-fir stand on a south-facing slope. Forest Sci 39(2):211–230. doi:https://doi.org/10.1093/forestscience/39.2.211
Leidinger J, Seibold S, Weisser WW, Lange M, Schall P, Türke M, Gossner MM (2019) Effects of forest management on herbivorous insects in temperate Europe. Forest Ecol Manag 437:232–245. doi:https://doi.org/10.1016/j.foreco.2019.01.013
Lincoln DE, Fajer ED, Johnson RH (1993) Plant-insect herbivore interactions in elevated CO2 environments. Trends Ecol Evol 8(2):64–68. doi:https://doi.org/10.1016/0169-5347(93)90161-H
Lingg AJ, Donaldson MD (1981) Biotic and abiotic factors affecting stability of Beauveria bassiana conidia in soil. J Invertebr Pathol 38(2):191–200. doi:https://doi.org/10.1016/0022-2011(81)90122-1
Liu L, Wang H, Dai W, Lei X, Yang X, Li X (2014) Spatial variability of soil organic carbon in the forestlands of northeast China. J For Res 25(4):867–876. doi:https://doi.org/10.1007/s11676-014-0533-3
Ma R, Wang J, Liu H, Wei L, Li R, Sun T (2009) Effection on wind speed of Haloxylon ammodendron forest with different density. J Soil Water Conserv 23(2):249–252 (in Chinese)
Maguire DY, James PMA, Buddle CM, Bennett EM (2015) Landscape connectivity and insect herbivory: a framework for understanding tradeoffs among ecosystem services. Glob Ecol Conserv 4:73–84. doi:https://doi.org/10.1016/j.gecco.2015.05.006
Maguire DY, Buddle CM, Bennett EM (2016) Within and among patch variability in patterns of insect herbivory across a fragmented forest landscape. PLoS One 11(3):e0150843. doi:https://doi.org/10.1371/journal.pone.0150843
Marques ESA, Price PW, Cobb NS (2000) Resource abundance and insect herbivore diversity on woody fabaceous desert plants. Environ Entomol 29(4):696–703. doi:https://doi.org/10.1603/0046-225X-29.4.696
Martinson HM, Fagan WF (2014) Trophic disruption: a meta-analysis of how habitat fragmentation affects resource consumption in terrestrial arthropod systems. Ecol Lett 17(9):1178–1189. doi:https://doi.org/10.1111/ele.12305
Meiners SJ, Handel SN, Pickett STA (2000) Tree seedling establishment under insect herbivory: edge effects and inter-annual variation. Plant Ecol 151(2):161–170. doi:https://doi.org/10.1023/a:1026509529570
Metcalfe DB, Crutsinger GM, Kumordzi BB, Wardle DA (2015) Nutrient fluxes from insect herbivory increase during ecosystem retrogression in boreal forest. Ecology 97(1):124–132. doi:https://doi.org/10.1890/15-0302.1
Moreira X, Abdala-Roberts L, Rasmann S, Castagneyrol B, Mooney KA (2016) Plant diversity effects on insect herbivores and their natural enemies: current thinking, recent findings, and future directions. Curr Opin Insect Sci 14:1–7. doi:https://doi.org/10.1016/j.cois.2015.10.003
Niesenbaum RA, Kluger EC (2006) When studying the effects of light on herbivory, should one consider temperature? The case of Epimecis hortaria F. (Lepidoptera: Geometridae) feeding on Lindera benzoin L. (Lauraceae). Environ Entomol 35(3):600–606. doi:https://doi.org/10.1603/0046-225x-35.3.600
Nothnagle PJ, Schultz JC (1987) What is a forest pest? Academic Press, San Diego
Pereira RM, Alves SB, Stimac JL (1993) Growth of Beauveria bassiana in fire ant nest soil with amendments. J Invertebr Pathol 62(1):9–14. doi:https://doi.org/10.1006/jipa.1993.1067
Randlkofer B, Obermaier E, Hilker M, Meiners T (2010) Vegetation complexity—the influence of plant species diversity and plant structures on plant chemical complexity and arthropods. Basic Appl Ecol 11(5):383–395. doi:https://doi.org/10.1016/j.baae.2010.03.003
Reynolds BC, Crossley DA (1997) Spatial variation in herbivory by forest canopy arthropods along an elevation gradient. Environ Entomol 26(6):1232–1239. doi:https://doi.org/10.1093/ee/26.6.1232
Ries L, Fletcher RJ, Battin J, Sisk TD (2004) Ecological responses to habitat edges: mechanisms, models, and variability explained. Annu Rev Ecol Evol Syst 35(1):491–522. doi:https://doi.org/10.1146/annurev.ecolsys.35.112202.130148
Robertson GP (2008) GS+: geostatistics for the environmental sciences. Gamma Design Software, Plainwell
Rosado-Sanchez S, Parra-Tabla V, Betancur-Ancona D, Moreira X, Abdala-Roberts L (2018) Effects of tree species diversity on insect herbivory and leaf defences in Cordia dodecandra. Ecol Entomol 43(6):703–711. doi:https://doi.org/10.1111/een.12648
Rossetti MR, Tscharntke T, Aguilar R, Batáry P (2017) Responses of insect herbivores and herbivory to habitat fragmentation: a hierarchical meta-analysis. Ecol Lett 20(2):264–272. doi:https://doi.org/10.1111/ele.12723
Rossiter M, Schultz JC, Baldwin IT (1988) Relationships among defoliation, red oak phenolics, and gypsy moth growth and reproduction. Ecology 69(1):267–277. doi:https://doi.org/10.2307/1943182
Ruhnke H, Schädler M, Klotz S, Matthies D, Brandl R (2009) Variability in leaf traits, insect herbivory and herbivore performance within and among individuals of four broad-leaved tree species. Basic Appl Ecol 10(8):726–736. doi:https://doi.org/10.1016/j.baae.2009.06.006
Schädler M, Jung G, Auge H, Brandl R (2003) Palatability, decomposition and insect herbivory: patterns in a successional old-field plant community. Oikos 103(1):121–132. doi:https://doi.org/10.1034/j.1600-0706.2003.12659.x
Schuldt A, Baruffol M, Böhnke M, Bruelheide H, Härdtle W, Lang AC, Nadrowski K, Von Oheimb G, Voigt W, Zhou H, Assmann T (2010) Tree diversity promotes insect herbivory in subtropical forests of south-east China. J Ecol 98(4):917–926. doi:https://doi.org/10.1111/j.1365-2745.2010.01659.x
Schuldt A, Bruelheide H, Härdtle W, Assmann T, Li Y, Ma K, von Oheimb G, Zhang J (2015) Early positive effects of tree species richness on herbivory in a large-scale forest biodiversity experiment influence tree growth. J Ecol 103(3):563–571. doi:https://doi.org/10.1111/1365-2745.12396
Shao X, Zhang Q, Liu Y, Yang X (2019) Effects of wind speed on background herbivory of an insect herbivore. Écoscience 27(1):71–76. doi:https://doi.org/10.1080/11956860.2019.1666549
Simonetti JA, Grez AA, Celis-Diez JL, Bustamante RO (2007) Herbivory and seedling performance in a fragmented temperate forest of Chile. Acta Oecol 32(3):312–318. doi:https://doi.org/10.1016/j.actao.2007.06.001
Southwood TRE, Brown VK, Reader PM (1986) Leaf palatability, life expectancy and herbivore damage. Oecologia 70:544–548. doi:https://doi.org/10.1007/BF00379901
Stiegel S, Entling MH, Mantilla-Contreras J (2017) Reading the leaves’ palm: leaf traits and herbivory along the microclimatic gradient of forest layers. PLoS One 12(1):e0169741. doi:https://doi.org/10.1371/journal.pone.0169741
Stiling P, Moon DC (2004) Quality or quantity: the direct and indirect effects of host plants on herbivores and their natural enemies. Oecologia 142(3):413–420. doi:https://doi.org/10.1007/s00442-004-1739-4
Studdert JP, Kaya HK (1990) Water potential, temperature, and clay-coating of Beauveria bassiana conidia: effect on Spodoptera exigua pupal mortality in two soil types. J Invertebr Pathol 56(3):327–336. doi:https://doi.org/10.1016/0022-2011(90)90119-Q
Studdert JP, Kaya HK, Duniway JM (1990) Effect of water potential, temperature, and clay-coating on survival of Beauveria bassiana conidia in a loam and peat soil. J Invertebr Pathol 55(3):417–427
Thomas SC, Sztaba AJ, Smith SM (2010) Herbivory patterns in mature sugar maple: variation with vertical canopy strata and tree ontogeny. Ecol Entomol 35(1):1–8. doi:https://doi.org/10.1111/j.1365-2311.2009.01133.x
Urbas P, Araújo MV, Leal IR, Wirth R (2007) Cutting more from cut forests: edge effects on foraging and herbivory of leaf-cutting ants in Brazil. Biotropica 39(4):489–495. doi:https://doi.org/10.1111/j.1744-7429.2007.00285.x
Valdés-Correcher E, van Halder I, Barbaro L, Castagneyrol B, Hampe A (2019) Insect herbivory and avian insectivory in novel native oak forests: divergent effects of stand size and connectivity. Forest Ecol Manag 445:146–153. doi:https://doi.org/10.1016/j.foreco.2019.05.018
Valladares G, Salvo A, Cagnolo L (2006) Habitat fragmentation effects on trophic processes of insect-plant food webs. Conserv Biol 20(1):212–217. doi:https://doi.org/10.1111/j.1523-1739.2006.00337.x
Vega FE, Goettel MS, Blackwell M, Chandler D, Jackson MA, Keller S, Koike M, Maniania NK, Monzón A, Ownley BH, Pell JK, Rangel DEN, Roy HE (2009) Fungal entomopathogens: new insights on their ecology. Fungal Ecol 2(4):149–159. doi:https://doi.org/10.1016/j.funeco.2009.05.001
Vehviläinen H, Koricheva J, Ruohomäki K (2007) Tree species diversity influences herbivore abundance and damage: meta-analysis of long-term forest experiments. Oecologia 152(2):287–298. doi:https://doi.org/10.1007/s00442-007-0673-7
Vergara-Gerga D, Williams-Linera G, Casanoves F (2019) Leaf functional traits vary within and across tree species in tropical cloud forest on rock outcrop versus volcanic soil. J Veg Sci 31(1):129–138. doi:https://doi.org/10.1111/jvs.12826
Webster B, Cardé RT (2017) Use of habitat odour by host-seeking insects. Biol Rev 92(2):1241–1249. doi:https://doi.org/10.1111/brv.12281
White JA, Whitham TG (2000) Associational susceptibility of cottonwood to a box elder herbivore. Ecology 81(7):1795–1803
Zehnder CB, Stodola KW, Joyce BL, Egetter D, Cooper RJ, Hunter MD (2009) Elevational and seasonal variation in the foliar quality and arthropod community of Acer pensylvanicum. Environ Entomol 38(4):1161–1167. doi:https://doi.org/10.1603/022.038.0424
Zhu J, Li X, Gonda Y, Matsuzaki T (2004) Wind profiles in and over trees. J For Res 15(4):305–312. doi:https://doi.org/10.1007/BF02844959
Zvereva EL, Zverev V, Kozlov MV (2012) Little strokes fell great oaks: minor but chronic herbivory substantially reduces birch growth. Oikos 121(12):2036–2043. doi:https://doi.org/10.1111/j.1600-0706.2012.20688.x
Acknowledgements
We would like to thank all the laboratory members for their assistance with the labor and fieldwork.
Funding
This study was supported by the National Key Research and Development Project of China (2018YFD060024-04).
Author information
Authors and Affiliations
Contributions
Xinliang Shao, Qin Zhang and Xitian Yang conducted the conception, design of the work, data collection, statistical analysis, draft of the work. The authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Shao, X., Zhang, Q. & Yang, X. Spatial patterns of insect herbivory within a forest landscape: the role of soil type and forest stratum. For. Ecosyst. 8, 69 (2021). https://doi.org/10.1186/s40663-021-00347-3
Received:
Accepted:
Published:
DOI: https://doi.org/10.1186/s40663-021-00347-3