Abstract
Agricultural intensification through increasing fertilization input and cropland expansion has caused rapid loss of semi-natural habitats and the subsequent loss of natural enemies of agricultural pests. It is however extremely difficult to disentangle the effects of agricultural intensification on arthropod communities at multiple spatial scales. Based on a two-year study of seventeen 1500 m-radius sites, we analyzed the relative importance of nitrogen input and cropland expansion on cereal aphids and their natural enemies. Both the input of nitrogen fertilizer and cropland expansion benefited cereal aphids more than primary parasitoids and leaf-dwelling predators, while suppressing ground-dwelling predators, leading to an disturbance of the interspecific relationship. The responses of natural enemies to cropland expansion were asymmetric and species-specific, with an increase of primary parasitism but a decline of predator/pest ratio with the increasing nitrogen input. As such, agricultural intensification (increasing nitrogen fertilizer and cropland expansion) can destabilize the interspecific relationship and lead to biodiversity loss. To this end, sustainable pest management needs to balance the benefit and cost of agricultural intensification and restore biocontrol service through proliferating the role of natural enemies at multiple scales.
Similar content being viewed by others
Introduction
In agroecosystem, arthropods provide important ecosystem services due to their abundance and diversity; such service can be sustained and even enhanced by conserving semi-natural and natural habitats within agricultural landscapes1,2. This is because many arthropod species are very mobile and need to cross multiple habitats, including both crop and semi-natural habitats, for food and refuge3,4. Indeed, heterogeneous landscapes with a high proportion of semi-natural habitats can sustain a high diversity of aphid natural enemies including specialists and generalists, a prerequisite for effective biocontrol5,6. As such, the provision of arthropod ecosystem service in croplands is sensitive to resource availability in surrounding semi-natural habitats7.
Agricultural intensification, through increasing fertilization input within fields and cropland expansion at landscape scales, is considered a key driver of biodiversity loss and the decline of ecosystem services8. To this end, habitat management which optimizes the effect of agricultural landscape structure on the efficacy of biological control of agricultural pests has become a new paradigm for sustainable pest management7,9. At the field scale, agrochemical inputs can have great impacts on arthropod communities through changing plant nutrition, resulting in a rapid biodiversity loss in agroecosystems10,11,12. Increasing fertilizer input within fields affects insects differently due to the asymmetric responses of different species to changing host nutrition. Phytophagous insects, which have a relatively rapid developmental rate in high-nutrition plants, are more sensitive to changes in host nutrition than their natural enemies13. Changes in plant nitrogen availability could trigger a bottom-up effect on insect survival and the interaction between insect herbivores and pathogenic fungi14,15. At the landscape scale, cropland expansion (increasing the proportion of cropland in agricultural landscapes) has been shown to negatively affect biocontrol efficacy by disproportionally harming the natural enemies of agricultural pests16,17.
The effects of landscape structure on pest populations can vary with spatial scale; that is, habitat management should be prioritized at a specific spatial scale7,18,19. The negative effect of agricultural intensification on biocontrol often peaks at a specific spatial scale20. As such, habitat management is proven here to be most effective at the optimal spatial scale while making little contribution at other spatial scales21. Moreover, the response of arthropods to landscape structures could also be scale dependent due to species-specific dispersal ability. For species with strong dispersal ability (e.g. flying predators such as hover flies, lady beetles and lacewings), habitat management should target large spatial scales, while improving local habitat quality can enhance the activity of species with weak dispersal ability (e.g. walking predators such as spiders and Carabid beetles). For example, the species diversity and abundance of ground-dwelling arthropods could increase after planting grass strips every 200 m, supplying alterative food resources and refuge for these natural enemies9,22. These grass strips can act as banker plants which release the natural enemy when pest populations increase in crop fields and conserve them after harvest23. Some field experiments have examined the effects of landscape complexity on predation and parasitism at either the field or landscape scales, but to date studies have not examined both scales concurrently24.
Higher levels of ecosystem service provision are sometimes achieved through interactions of species from different functional groups25, making assessing the effects of agricultural intensification rather challenging. Many arthropod species belong to different functional modules in the insect community of wheat fields (e.g. cereal aphid, predator and parasitic wasp), forming complicated food webs11. Therefore, landscape modification differentially benefits some species over others, complicating the biocontrol of cereal aphids by their natural enemies26,27. To date, most research has been conducted for specific insect modules at one particular scale, emphasizing the need for experiments at multiple scales and targeting multiple functional modules11.
Here, we conducted a field experiment of collecting cereal aphids and their natural enemies of different functional modules in Northwest China to elucidate the effects of agricultural intensification at both field and landscape scales. Based on empirical evidence and existing hypotheses in the literature, we specifically addressed two research questions: i) whether the effects of agricultural intensification on population and community structures differ at the field and landscape scale; ii) the potential mechanism behind the scale dependence of the effects of agricultural intensification (increasing fertilizer input and cropland expansion) on agricultural arthropods.
Results
Effect of nitrogen fertilizer
In the experiment, the amount of nitrogen fertilizer ranged from 115.8 kg/ha to 170.6 kg/ha while the proportion of cropland ranged from 63.73% to 90.25% (see supplementary Table S1). In total, we collected 24,672 individuals including 19,723 cereal aphids, 3,679 primary parasitoids, 843 leaf-ground predators and 427 ground-dwelling predators.
All selected species (two species in each functional group) were significantly affected by the increasing input of nitrogen fertilizer within the sampled fields (Figure 1, see supplementary Table S2). Specifically, the increasing input of nitrogen fertilizer led to the increase of the population densities of cereal aphids, their primary parasitoids and leaf-dwelling predators. The correlation coefficient between population density and nitrogen input ranged from 0.3365 (Syrphus nitens) to 0.8653 (Aphidius gifuensis), showing different sensitivity to applying nitrogen fertilizer within the field (e.g. a positive correlation for primary parasitoids, in contrast to a negative correlation for ground-dwelling predators; Figure 1, see supplementary Table S2). The abundance of cereal aphids increased more rapidly than their natural enemies in response to the increasing input of nitrogen fertilizer, followed by the primary parasitoids (Figure 1, see supplementary Table S2), indicating a weakening effect of biocontrol service from applying nitrogen fertilizer within the field in agroecosystems.
Effect of cropland expansion
At the population level, agricultural intensification (AI) caused by increasing proportion of cropland has a positive effect on the abundance of cereal aphids at all spatial scales except when measured at the broadest scale (1500 m; Figure 2, see supplementary Table S3). The correlation coefficients between the proportion of cropland and the population densities of the two aphid species (Sitobion avenae and Schizaphis graminum) peaked at the scales of 800 m and 200 m, respectively. Furthermore, the correlation coefficients for primary parasitoids and leaf-dwelling predators were positive, which peaked at the scales of 200 m and 500 m. In contrast, the correlation coefficients became negative for ground-dwelling predators (see supplementary Table S3). Overall, at broad scales increasing proportion of cropland had a positive effect on cereal aphids, leaf-dwelling predators and primary parasitoids but had a negative effect on ground-dwelling predators (Figure 2, see supplementary Table S3). Moreover, the response of cereal aphids and their natural enemies to cropland expansion was species specific. The parasitic wasps were more sensitive than cereal aphids to cropland expansion across multiple scales, while even species within the same module (e.g. the two leaf-dwelling predators, H. variegata and S. nitens) responded differently (Figure 2, see supplementary Table S3).
Impact on biocontrol and diversity
At the community level, the increasing input of nitrogen fertilizer significantly enhanced the primary parasitism in wheat field (F1,101 = 6.31, P = 0.013, Figure 3A) but negatively affected the predator/pest ratio (Leaf-dwelling predator: F1,101 = 4.29, P = 0.041; Ground-dwelling predator: F1,101 = 8.11, P = 0.005, Figure 3B, C). The increasing input of nitrogen fertilizer was also detrimental to the species diversity of natural enemies in the wheat field (F1,101 = 7.72, P = 0.006, Figure 3D).
Moreover, we selected the scale of 500 m to examine the effects of the proportion of cropland on predation and parasitism, showing an insignificant effect on primary parasitism (F1,101 = 2.36, P = 0.127, Figure 4A) but a negative effect on the predator/pest ratio (Leaf-dwelling predators: F1,101 = 5.58, P = 0.020; Ground-dwelling predators: F1,101 = 6.97, P = 0.010, Figure 4B, C) and a negative effect on the species diversity of natural enemies (F1,101 = 6.61, P = 0.012, Figure 4D).
Discussion
Differential responses to agricultural intensification
Our results show that the input of nitrogen fertilizer facilitates the cereal aphid populations. Surprisingly, increasing nitrogen input did not suppress the activity of parasitic wasps; rather, it slightly increased the parasitism of cereal aphids, contrasting the result from Lohaus et al. (2013) that the parasitism of cereal aphids showed no difference between conventional and organic wheat fields28. However, the density of cereal aphids still increased with the input of nitrogen fertilizer due perhaps to the rapid development of cereal aphids in high-nitrogen wheat fields29. As such, cereal aphids were not controlled by the high parasitism driven by the high nitrogen input. Other possible reasons include that species at the higher trophic level (hyperparasitoids) may also gain benefits from nitrogen input and pose a top-down interference to the interaction between cereal aphids and their primary parasitoids27,30. These results suggest that several modules (parasitoids, leaf- and ground-dwelling predators) can have strong complementary effects on the biological control of cereal aphids in wheat fields6,11,31.
Landscape simplification (i.e. a high percentage of arable lands in agricultural landscapes or homogeneous landscape structure) can have a negative effect on biological control of cereal aphids32,33. Here, the correlation between the percentage of arable lands in the agricultural landscape and parasitism decreased as the spatial scale increases, suggesting that parasitic wasps might respond to changes in landscape structure at small spatial scales28. Additionally, agricultural intensification can facilitate the population growth of cereal aphids due to the abrupt decline of natural enemy/pest ratio34. The abundance of ground-dwelling predators decreased significantly with increasing proportion of cropland at all spatial scales, suggesting that a homogenous landscape cannot stabilize the population density of natural enemies due to the importance of semi-natural habitats to the recruitment of natural enemies17,35,36. Therefore, agricultural intensification, including increasing fertilizer input within fields and cropland expansion at the landscape scale, can disturb the interspecific relationship of arthropod community in wheat fields, which may have a negative effect on biocontrol of cereal aphids.
Strong evidence shows that species within a same functional module can respond differently to changes in landscape structure37,38. For example, ladybirds and parasitic wasps differ greatly in their dispersal ability and thus respond differently to changes in landscape composition across spatial scales39. Wheat crop is attacked by multiple pest species which are then attacked by multiple natural enemies that perceive/use the mosaic landscape differently at different spatial scales40. Based on our results, the spatial range for analyzing the effect of landscape structures on insect communities varied depending on the particular functional groups11.
Potential mechanism of differential responses
In agroecosystems, agricultural intensification is the most important driver for changing the land cover and soil structure6,23. In particular, nitrogen deposition in China's agroecosystem has increased by about 60% in the past three decades45, causing great disturbance to the food web of arthropods. On the one hand, although increasing nitrogen fertilizers has directly proliferated crop nutrition and yield, it also accelerates the development rate of herbivorous insects and their natural enemies to a different extent, with the outbreak of pests causing serious damage to crops. Two hypotheses have been proposed so far to explain the effect of increasing nitrogen fertilizer input on insect performance, namely the plant vigor hypothesis and nitrogen limitation hypothesis15. These hypotheses argue that the nitrogen content in plants is an important limiting factor which dictates the developmental rate, breeding, behavior and fecundity of insect herbivores. Contrast to their natural enemies, these insect pests could benefit more from increasing nitrogen fertilizer input due to the direct improvement of both food quantity and quality.
On the other hand, cropland expansion further provides more resources and habitats for insect pests (resource concentration hypothesis), while the decline of semi-natural habitats from the expansion eliminates alternative preys and refuges of natural enemies41,42. Moreover, landscape simplification could cause the rearrangement of habitat patches and reallocation of plant resources. These changes could further affect the population dispersion and host searching. The asymmetric responses of cereal aphids and their natural enemies to cropland expansion could therefore cause the shifts observed in community structure, leading to biocontrol loss under agricultural intensification30.
Conclusion
Global environmental changes have been occurring at multiple spatial scales and are an important driver of changes in biodiversity composition and population dynamics. Increasing nitrogen input can facilitate the population of parasitic wasps while suppressing the activity of ground-dwelling predators43, all greatly effecting the community structure of natural enemies within fields. Cropland expansion in agricultural landscapes can also shift the natural enemy community, causing the loss of biocontrol service and the outbreak of cereal aphids at landscape scale. Therefore, agricultural intensification at both the field and landscape scales can disturb the food web structure of arthropods and destabilize the interaction between cereal aphids and their natural enemies21,35. Habitat management for sustainable pest management should be conducted at multiple spatial scales including the field and landscape scales46,47.
The marked changes of different species modules in response to agricultural intensification suggest that studies on isolated modules could be misleading and that quantitative food web metrics need to be considered in future research37,44. Future studies should compare functional groups or interspecific relationship of all species in landscapes with different levels of complexity in patch arrangement and spatial structure in order to distinguish between the intraguild effects of different biocontrol agents working at different spatial scales7,28,48.
Methods
The study area
This experiment was conducted near the city of Yinchuan, Ningxia Hui Autonomous Region of Northwest China. This agricultural region (Yinchuan plateau, 1100–1200 m a.s.l) has a temperate continental climate and a long history of crop culture. The area has an average 3,000 h p.a. of sunshine and an annual mean temperature of 13.1°C. The type of soil is Chernozem, a typical type of the region. The area has experienced drastic land use changes from natural habitats to arable land, forming a gradient of landscape simplification through agricultural intensification in the past decades. The landscape mosaic consists of different habitat patches including crops, fallow land, grasslands and woodlands. Agricultural management within crop fields has led to a gradual change of soil chemical composistion through frequent use of nitrogen fertilizer for sustaining high crop yields. These changes could have affected the distribution and composition of arthropod communities in wheat fields at both local and regional scales.
Seventeen agricultural sites (see supplementary Table S1) were selected along a gradient of landscape simplification in a radius of 1500 m among sites, from intensive agricultural sites with a high percentage of arable land (maximum value = 83.26%) to sites with a low percentage of arable land (minimum value = 55.82%). Semi-natural habitats in these sites, including woodlands and fallow land, remained unchanged during the experiment period from 2010 to 201149. The nearest neighbor distances of these sites ranges from 3000 m to 5600 m.
The experimental region had an old planting history (>30 years) of wheat crop. Three wheat fields in the center of 1500 m radius were selected in each site. To simplify the experiment design, we chose the wheat fields with the same wheat variety and soil type. This has been shown to be an appropriate method for studying the effect of landscape structure on arthropod communities7,17,50. Wheat density was kept to about 400–450 plants per m2 and the irrigation was kept nearly the same across all studied wheat fields, each year from March to June.
Insect sampling
Two dominant pests, Sitobion avenae (Fabricius) and Schizaphis graminum (Rondani) and their primary parasitoids, leaf- and ground-dwelling predators were investigated in the field experiment. As the primary parasitoids spend their whole larval stage in the mummies of cereal aphids, they can be investigated at the same time. In each field, five randomly-selected points were used to sample cereal aphids and their primary parasitoids by visual inspection and hand collection49. In each point, 100 wheat tillers were selected for investigation (5 minutes for cereal aphid and 15 minutes for primary parasitoids). All fields were sampled within a two-day period (for diminishing potential stochasticity); three times per year (14th–15th, 19th–20th and 24th–25th of May -when the population of cereal aphids peaks). All cereal aphids and their natural enemies were collected before pesticide application (30th May–5th July) to ignore the effect of pesticides on the experiment. All aphid mummies were taken back to the laboratory and reared in the gelatin capsules for 30 days. The hatched adults of primary parasitoids were collected and conserved in 90% ethyl alcohol.
The ground-dwelling predators (e.g. Carabid beetles and spiders) are important natural enemies of aphids51. We used pitfall traps for collecting ground-dwelling predators at the same five randomly-selected points. In each pitfall trap (6.5 cm in diameter and 11 cm high), 60 mL mixture of vinegar, sugar, propylene glycol and water at a ratio of 2:1:1:20 were filled in a 0.2-L plastic cup. An odorless detergent (0.3%) was added into the trap to break the surface tension of the mixture. Ground-dwelling predators were collected 3 times from 10th to 25th of May in each year. In every time, the trap was open for five days. Population density of ground-dwelling predators was calculated in individuals per 5 traps.
The same five randomly-selected points were also used to collect leaf-dwelling predators (coccinellids, syrphids and lacewings); we used a sweep net (200 meshes) for this purpose at the same period of pitfall trapping51. We sampled 10 times (nets) per point by sweeping and thus 50 times (nets) per wheat field. The leaf-dwelling predators collected in the sweeping were transferred into finger shaped bottles, with 80% ethyl alcohol added into each bottle to preserve the samples. Population density of leaf-dwelling predators was calculated in individuals per 10 nets. All adult primary parasitoids, ground- and leaf-dwelling predators were identified to species according to their morphological and taxonomic characteristics.
Field and landscape survey
Within each field scale, landowners were surveyed by questionnaires and data was collected regarding type of the fertilizer, insecticide and yield. These three variables were obtained through two questions: 1) What is the amount of fertilizer applied per hectare and its composition? 2) What is the average yield in sampled wheat fields? Because nitrogen fertilizer is the main limiting resource for wheat growing and breeding, we calculated the amount of nitrogen fertilizer applied based on the answers to question 1.
At the landscape scale, geostatistic methods were used for collecting information on agricultural intensification. Specifically, the spatial arrangement of habitat composition in each landscape was derived from the Cropland Data Layer, with a 30-m resolution, obtained from the Chinese Academy of Sciences. All landscape metrics were computed using the Patch Analyst extension of FRAGSTATS (ArcGIS 9.3, 2008). For further analysis, proportion of cropland (PC) was indicated by the percentage of arable lands in the selected site:
where AREAarable habitat and AREAtotal area are the area sizes of arable habitats and total area in each landscape. The PC was obtained at six spatial scales from 200 to 1500 m based on the buffer circle method in agricultural landscape.
Statistical analysis
The abundance (Individuals per 5 traps for ground-dwelling predators; per 10 sweeps for leaf-dwelling predators; per 100 wheat tillers for primary parasitoids) were estimated for further analyses. At the population level, two dominant species (primary parasitoids: Aphidius avenae and Aphidius gifuensis; leaf-dwelling predators: Hippodamia variegata and Syrphus nitens; ground-dwelling predators: Pardosa astrigena and Chlaeniu spallipes) were selected for the analysis in each module containing natural enemies. To prevent the interference of temporal trends in the analysis, we detrended population density by regressing population density against year before calculating standard deviation of detrended population density52,53. The detrended data was used for examining the relationship between agricultural intensification and insect communities at the six spatial scales. At the community level, Simpson's diversity () was used to calculate species diversity of natural enemies according to population density.
At the field scale the Pearson correlation was used to examine the relationship between fertilizer input and the abundance of cereal aphids and their natural enemies. As the amount of nitrogen fertilizer is strongly correlated with grain yield (covariance), it was removed from the analysis. At the landscape scale, the Pearson correlation was also used to examine the relationship between proportion of cropland (PC) and the abundance of cereal aphids and their natural enemies at multiple spatial scales.
To analyze the joint effects of nitrogen input within the field and the proportion of cropland at the landscape level on the distribution of cereal aphids and their natural enemies, we applied a linear mixed-effect model (LMM) with the restricted maximum likelihood method54. Species were lumped together into three modules (aphids, predators and parasitoids) for calculating the predator/prey ratio and primary parasitism in wheat fields. Nitrogen fertilizer input and the proportion of cropland were considered as fixed factors and the landscape site and year as random factors. Wald tests were used to examine the significant level of fixed effects and twofold interactions between them. A backward stepwise procedure was used to examine the contribution of fixed factors and interactions; the fixed factors with P < 0.05 were left in the full model. Response factors were log-transformed to meet the Gaussian distribution requirement. Furthermore, the polynomial effects of landscape structure were tested by adding the fixed factors, (nitrogen input)2 and (the proportion of cropland)2, to the model. As none of these factors had noticeable additional explanatory power, we considered the relationships between landscape structure and log-transformed insect population density to be linear. R was used for conducting the statistical analysis (lme4, packages, R Development Core Team 2005). Sigma Plot 12.5 was used for drawing the graphs.
Change history
26 May 2017
A correction has been published and is appended to both the HTML and PDF versions of this paper. The error has not been fixed in the paper.
26 May 2017
Scientific Reports 5: Article number: 8024; published online: 26 January 2015; updated: 26 May 2017 This Article contains an error in the order of the Figures. Figures 3 and 4 were published as Figures 4 and 3 respectively. The correct Figures appear below. The Figure legends are correct.
References
Chaplin-Kramer, R. & Kremen, C. Pest control experiments show benefits of complexity at landscape and local scales. Eco. Appl. 22, 1936–1948 (2012).
Landis, D. A., Wratten, S. D. & Gurr, G. M. Habitat management to conserve natural enemies of arthropod pests in agriculture. Ann. Rev. Entomol. 45, 175–201 (2000).
Rand, T. A., Tylianakis, J. M. & Tscharntke, T. Spillover edge effects: the dispersal of agriculturally subsidized insect natural enemies into adjacent natural habitats. Ecol. Lett. 9, 603–614 (2006).
Meehan, T. D., Werling, B. P., Landis, D. A. & Gratton, C. Agricultural landscape simplification and insecticide use in the Midwestern United States. P. Natl. Aca. Sci. USA 108, 11500–11505 (2011).
Borer, E. T., Seabloom, E. W. & Tilman, D. Plant diversity controls arthropod biomass and temporal stability. Ecol. Lett. 15, 1457–1464 (2012).
Diehl, E., Sereda, E., Wolters, V. & Birkhofer, K. Effects of predator specialization, host plant and climate on biological control of aphids by natural enemies: a meta-analysis. J. Appl. Ecol. 50, 262–270 (2013).
Tscharntke, T. et al. Landscape moderation of biodiversity patterns and processes - eight hypotheses. Biol. Rev. 87, 661–685 (2012).
Zhao, Z. H. et al. Effects of inter-annual landscape change on interactions between cereal aphids and their natural enemies. Basic Appl. Ecol. 14, 472–479 (2013).
Werling, B. P. & Gratton, C. Local and broadscale landscape structure differentially impact predation of two potato pests. Ecol. Appl. 20, 1114–1125 (2010).
Clark, C. M. & Tilman, D. Loss of plant species after chronic low-level nitrogen deposition to prairie grasslands. Nature 451, 712–715 (2008).
Martin, E. A., Reineking, B., Seo, B. & Steffan-Dewenter, I. Natural enemy interactions constrain pest control in complex agricultural landscapes. P. Natl. Aca. Sci. USA 110, 5534–5539 (2013).
Rosch, V., Tscharntke, T., Scherber, C. & Batary, P. Landscape composition, connectivity and fragment size drive effects of grassland fragmentation on insect communities. J. Appl. Ecol. 50, 387–394 (2013).
Awmack, C. S. & Leather, S. R. Host plant quality and fecundity in herbivorous insects. Annu. Rev. Entomol. 47, 817–844 (2002).
Pato, J. & Obeso, J. R. Effects of clipping and N fertilization on insect herbivory and infestation by pathogenic fungi on bilberry. Basic Appl. Ecol. 14, 347–356 (2013).
Han, P., Lavoir, A. V., Le Bot, J., Amiens-Desneux, E. & Desneux, N. Nitrogen and water availability to tomato plants triggers bottom-up effects on the leafminer Tuta absoluta. Sci. Rep. 4, 4455; 10.1038/srep04455 (2014).
Loreau, M. et al. Ecology - Biodiversity and ecosystem functioning: Current knowledge and future challenges. Science 294, 804–808 (2001).
Thies, C. et al. The relationship between agricultural intensification and biological control: experimental tests across Europe. Ecol. Appl. 21, 2187–2196 (2011).
Rand, T. A. & Tscharntke, T. Contrasting effects of natural habitat loss on generalist and specialist aphid natural enemies. Oikos 116, 1353–1362 (2007).
Gladbach, D. J. et al. Crop-noncrop spillover: arable fields affect trophic interactions on wild plants in surrounding habitats. Oecologia 166, 433–441 (2011).
Chaplin-Kramer, R., O'Rourke, M. E., Blitzer, E. J. & Kremen, C. A meta-analysis of crop pest and natural enemy response to landscape complexity. Ecol. Lett. 14, 922–932 (2011).
Jonsson, M. et al. Agricultural intensification drives landscape-context effects on host-parasitoid interactions in agroecosystems. J. Appl. Ecol. 49, 706–714 (2012).
Maisonhaute, J. E., Peres-Neto, P. & Lucas, E. Influence of agronomic practices, local environment and landscape structure on predatory beetle assemblage. Agr. Ecosyst. Environ. 139, 500–507 (2010).
Diehl, E., Mader, V. L., Wolters, V. & Birkhofer, K. Management intensity and vegetation complexity affect web-building spiders and their prey. Oecologia 173, 579–589 (2013).
Gardiner, M. M. et al. Landscape composition influences the activity density of Carabidae and Arachnida in soybean fields. Biol. Control 55, 11–19 (2010).
Macfadyen, S., Gibson, R. H., Symondson, W. O. C. & Memmott, J. Landscape structure influences modularity patterns in farm food webs: consequences for pest control. Ecol. Appl. 21, 516–524 (2011).
D'Alberto, C. F., Hoffmann, A. A. & Thomson, L. J. Limited benefits of non-crop vegetation on spiders in Australian vineyards: regional or crop differences? Biocontrol 57, 541–552 (2012).
Rand, T. A., van Veen, F. J. F. & Tscharntke, T. Landscape complexity differentially benefits generalized fourth, over specialized third, trophic level natural enemies. Ecography 35, 97–104 (2012).
Lohaus, K., Vidal, S. & Thies, C. Farming practices change food web structures in cereal aphid-parasitoid-hyperparasitoid communities. Oecologia 171, 249–259 (2013).
Birkhofer, K. et al. Long-term organic farming fosters below and aboveground biota: Implications for soil quality, biological control and productivity. Soil Biol. Biochem. 40, 2297–2308 (2008).
Garratt, M. P. D., Wright, D. J. & Leather, S. R. The effects of organic and conventional fertilizers on cereal aphids and their natural enemies. Agr. Forest. Entomol. 12, 307–318 (2010).
Bianchi, F. J. J. A., Ives, A. R. & Schellhorn, N. A. Interactions between conventional and organic farming for biocontrol services across the landscape. Ecol. Appl. 23, 1531–1543 (2013).
Hooper, D. U. et al. Effects of biodiversity on ecosystem functioning: A consensus of current knowledge. Ecol. Monogr. 75, 3–35 (2005).
Macfadyen, S. et al. Do differences in food web structure between organic and conventional farms affect the ecosystem service of pest control? Ecol. Lett. 12, 229–238 (2009).
Zhao, Z. H., Shi, P. J., Men, X. Y., Ouyang, F. & Ge, F. Effects of crop species richness on pest-natural enemy systems based on an experimental model system using a microlandscape. Sci. China Life Sci. 56, 758–766 (2013).
Tylianakis, J. M., Tscharntke, T. & Lewis, O. T. Habitat modification alters the structure of tropical host-parasitoid food webs. Nature 445, 202–205 (2007).
Fabian, Y. et al. The importance of landscape and spatial structure for hymenopteran-based food webs in an agro-ecosystem. J. Anim. Ecol 82, 1203–1214 (2013).
Montoya, J. M., Rodriguez, M. A. & Hawkins, B. A. Food web complexity and higher-level ecosystem services. Ecol. Lett. 6, 587–593 (2003).
Scherber, C. et al. Bottom-up effects of plant diversity on multitrophic interactions in a biodiversity experiment. Nature 468, 553–556 (2010).
Bianchi, F. J. J. A., Schellhorn, N. A., Buckley, Y. M. & Possingham, H. P. Spatial variability in ecosystem services: simple rules for predator-mediated pest suppression. Ecol. Appl. 20, 2322–2333 (2010).
Brewer, M. J. & Goodell, P. B. Approaches and Incentives to Implement Integrated Pest Management that Addresses Regional and Environmental Issues. Annu. Rev. Entomol. 57, 41–59 (2012).
Poveda, K., Martinez, E., Kersch-Becker, M. F., Bonilla, M. A. & Tscharntke, T. Landscape simplification and altitude affect biodiversity, herbivory and Andean potato yield. J. Appl. Ecol. 49, 513–522 (2012).
Schneider, G., Krauss, J. & Steffan-Dewenter, I. Predation rates on semi-natural grasslands depend on adjacent habitat type. Basic Appl. Ecol. 14, 614–621 (2013).
Isbell, F. et al. Nutrient enrichment, biodiversity loss and consequent declines in ecosystem productivity. P. Natl. Aca. Sci. USA 110, 11911–11916 (2013).
van Veen, F. J. F., Morris, R. J. & Godfray, H. C. J. Apparent competition, quantitative food webs and the structure of phytophagous insect communities. Annu. Rev. Entomol. 51, 187–208 (2006).
Liu, X. J. et al. Enhanced nitrogen deposition over China. Nature 494, 459–462 (2013).
Chaplin-Kramer, R., de Valpine, P., Mills, N. J. & Kremen, C. Detecting pest control services across spatial and temporal scales. Agr. Ecosyst. Environ. 181, 206–212 (2013).
Pasari, J. R., Levi, T., Zavaleta, E. S. & Tilman, D. Several scales of biodiversity affect ecosystem multifunctionality. P. Natl. Aca. Sci. USA 110, 10219–10222 (2013).
Schuepp, C., Uzman, D., Herzog, F. & Entling, M. H. Habitat isolation affects plant-herbivore-enemy interactions on cherry trees. Biol. Control 71, 56–64 (2014).
Zhao, Z. H., Hui, C., He, D. H. & Ge, F. Effects of position within wheat field and adjacent habitats on the density and diversity of cereal aphids and their natural enemies. Biocontrol 58, 765–776 (2013).
Zhao, R., Wang, L., Zhang, H. Y. & Shen, J. Analysis on Temporal-Spatial Characteristics of Landscape Pattern of Land-Cover. Sens. Lett. 11, 1337–1341 (2013).
Zhao, Z. H. et al. Solving the pitfalls of pitfall trapping: a two-circle method for density estimation of ground-dwelling arthropods. Methods Ecol. Evol. 4, 865–871 (2013).
Tilman, D., Reich, P. B. & Knops, J. M. H. Biodiversity and ecosystem stability in a decade-long grassland experiment. Nature 441, 629–632 (2006).
Haddad, N. M., Crutsinger, G. M., Gross, K., Haarstad, J. & Tilman, D. Plant diversity and the stability of foodwebs. Ecol. Lett. 14, 42–46 (2011).
Lundy, M. G. et al. Behavioural context of multi-scale species distribution models assessed by radio-tracking. Basic Appl. Ecol. 13, 188–195 (2012).
Acknowledgements
We are grateful to Ying Wang, Jia Hang, Ting-Ting Zhang, Ying-shu Zhao, Xiaohu Li, Chun Lu for field assistance and to Beverley Laniewski for English editing. Financial support came from the State Key Program of National Natural Science of China (No. 31400349). CH is supported by the National Research Foundation of South Africa (grants 76912, 81825 and 89967). BL is partially supported by the University of California Agricultural Experiment Station.
Author information
Authors and Affiliations
Contributions
Z.Z. and D.H. designed and conducted the field experiments. Z.Z. conducted the data analysis. Z.Z., H.C. and B.L. wrote the main manuscript text. All authors reviewed the manuscript.
Ethics declarations
Competing interests
The authors declare no competing financial interests.
Electronic supplementary material
Supplementary Information
Supplementary Information
Rights and permissions
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/
About this article
Cite this article
Zhao, ZH., Hui, C., He, DH. et al. Effects of agricultural intensification on ability of natural enemies to control aphids. Sci Rep 5, 8024 (2015). https://doi.org/10.1038/srep08024
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/srep08024
- Springer Nature Limited