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1 Running title: Effects of intercropping on arthropod community 2 3 4 5 6 Effects of intercropping systems on community composition and diversity of 7 predatory arthropods in vegetable fields 8 9 10 Cai Hongjiao1, You Minsheng2*, Lin Cui2 11 12 13 1 Fisheries College of Jimei University, Xiamen, Fujian 361021, PR China, Phone: +86-13365921679, Email: [email protected] 2 Institute of Applied Ecology, Research Centre for Biodiversity and Eco-Safety, Fujian Agriculture and Forestry University, Fuzhou 350002, PR China; Phone: (591) 8378-9396; Fax: (591) 8376-8251; E-mail: [email protected] *Corresponding author 1 14 Abstract: Field trials were carried out on Langqi Island, Fujian, P. R. China in 2004, to 15 determine the effects of intercropping Chinese cabbage (Brassica chinensis) with green 16 cabbage (Brassica oleracea), garlic (Allium sativum) and lettuce (Lactuca sativa), on 17 community composition and diversity of predatory arthropods in vegetable fields. Two 18 intercropping plots were designed and used in this study. In plot 1, two ridges of Chinese 19 cabbage were intercropped with one ridge of garlic (CG1), lettuce (CL1) or green cabbage 20 (CB1). In plot 2, the Chinese cabbage was planted in the center (100 cm wide) of the ridge, 21 and under-sown with garlic (CG2), lettuce (CL2) or green cabbage (CB2) on both edges (25 22 cm wide) of the same ridge. A monoculture plot of the Chinese cabbage (CK) was arranged 23 for comparison with plots 1 and 2. The highest species richness was found in CG1, and the 24 lowest in CK. The highest abundance was found in CL1 (141.67 predators/plot), whereas the 25 lowest was in CB1 (97.67 predators/plot). With the exception of CL1, significantly higher 26 diversity indices were found in intercropping treatments than in CK. The majority of spiders 27 sampled from fields were from families Theridiidae (34.04%) and Lycosidae (30.57%). 28 These findings suggest that Chinese cabbage intercropped with non-cruciferous crops might 29 increase species richness, abundance and diversity of the arthropod community in general 30 and predators in particular. 31 32 Key words: intercropping, Chinese cabbage, arthropod community, predators 33 2 1 Intercropping as one form of polyculture is commonly used in tropical parts of the 2 world and by indigenous peoples throughout the world[1]. Many findings suggest that 3 intercropping encourages biodiversity or abundance of natural enemies, such as spiders or 4 parasitoids 5 improves nitrogen fixation[8]. Therefore, many ecologists and entomologists advocate 6 intercropping in integrated pest management systems for suppression of insect pests [2, 10, 11]. [2, 3, 4] , increases the crop yield and quality[5, 6], reduces soil erosion[7] and 7 Studies on natural enemy dispersal and colonization influenced by cropping systems 8 indicate that entomophagous insects depend on ground cover such as that provided by 9 intercropping systems. For example, increased botanical diversity generally enhances 10 abundance of ground predators, such as carabids, staphylinidae and lycosid spiders [12, 13]. 11 Higher populations of predators were found in both cotton-maize and peanut-corn 12 intercropping systems [2, 10]. Neighboring crops provide alternative foods, prey and refuges 13 for predators and parasitoids, thereby increasing natural enemy abundance and colonization 14 [2, 10] 15 appears to have a potential application for producing commercially acceptable vegetables 16 while reducing insecticide uses [14, 15]. However, good documentation is lacking on the effects 17 of intercropping on the arthropod community in vegetable fields. . Therefore, under-sowing or intercropping Brassicas with non-cruciferous crops 18 This paper deals mainly with the effect of intercropping of Chinese cabbage with green 19 cabbage, garlic and lettuce on community composition and predators of arthropods in 20 vegetable fields, and is aimed at elucidating manipulation of biodiversity to support 21 conservation 22 agroecosystems. of natural enemies and ecologically-based pest management in 3 1 2 1 Materials and methods 1.1 Study site 3 This study was conducted on Langqi Island in Fuzhou, Fujian, P.R. China from October 4 to December, 2004. Lanqi Island (E119 ° 18′, N26 ° 05′), with an area of 92 km2 and 26 km2 5 of arable land, is located in the mouth of Min River where the river feeds into the Pacific 6 Ocean (Fig. 1). Forest covers approximately 20% of the island, which possesses a typically 7 subtropical climate. The area receives an annual rainfall of 900-2100 mm, and has an 8 average annual temperature of 19℃. It is one of the largest vegetable production areas in 9 Fujian province owing to the mild climate, fertile soil and abundance of fresh water. 10 1.2 Experimental design 11 Garlic (Allium sativum L.) and green cabbage (Brassica oleracea L. var. capitata) seeds 12 were obtained from the Vegetable Research Institute of Fuzhou and lettuce (Lactuca sativa L.) 13 seeds from Choi Hing Lee Seed Company Limited as the accompanying plants for 14 intercropping with Chinese cabbage (Brassica. chinensis L.); the seeds for the Chinese 15 cabbage were from Choi Hing Lee Seed Company Limited. The plant density was 16 approximately 30 plants /m2. 17 The experimental design for the intercropping experiments was a split-plot with three 18 replicates on a 14x18m plot. Each plot was divided into eight ridges of raised beds 19 (14x1.5m2) with a 50cm space between ridges. Seven Chinese cabbage cropping systems 20 were examined and evaluated (Table 1). Since the Chinese cabbage grows faster with a 21 shorter growing period than the accompanying plants, the garlic, lettuce and green cabbages 22 for the intercropping sites were sown two weeks earlier than the Chinese cabbage. 23 1.3 Sampling methods 24 Ten samples (0.11 m2 /sample) were randomly selected in each plot of Chinese cabbage at 4 1 an interval of four days, and a total of eight samplings from Oct 27 to Nov 24, 2004 were 2 conducted during the experimentation beginning 7 days after the Chinese cabbage was sown. 3 Arthropods were captured using a vacuum suction sampler [16], which collects all insects, 4 including tiny acarids. The arthropods collected were placed in a 75% ethanol solution in 5 glass vials and brought to the laboratory, where they were identified and counted with the 6 aid of a microscope. 7 1.4 Data analysis 8 To quantitatively analyze the effects of intercropping on predatory spiders, some currently 9 used indices of community ecology were used. They include the diversity index of 10 Shannon-Wiener (H’) [17], evenness index (E’) [18], and Simpson's dominant index (C’) [19]. The 11 standard dominance degrees (D’) in each group or habitat were also determined [20]. 12 Community indicators involve the total number of orders, families, genera, species and 13 individuals, and were calculated for each plot. The richness, abundance, diversity, evenness 14 and dominance indices calculated for each plot were subjected to analysis of variance 15 (ANOVA). Each group of herbivores, predators, parasitoids and neutral insects were 16 independently compared among the different plots based on the community indicators. The 17 dynamics of species richness and abundance, as well as the population abundance of 18 dominant species, were also presented. All analyses were conducted using the DPS software 19 [21] 20 21 2 Results 2.1 Structure and composition of the community 22 23 24 . A total of 53,392 individuals were collected, belonging to the Insecta, Arachnida and Millipedes, and representing 98 families, 111 genera and a total of 175 species. Based on the ecological functions and feeding habits in the communities, the species 5 1 were classified into four groups: predators, parasitoids, herbivores and neutral insects that 2 are neither pests nor beneficial species [20]. 3 More predatory species (59 species, accounting for 33.71% of the total species) were 4 found than any other group. Neutral insects accounted for 27 species (15.43%); herbivores 5 were 45 species (25.71%); parasitoids were 44 species (15.14%) (Table 2). Hence, the 6 percentage of natural enemies, consisting of predators and parasitoids, accounted for 48.85% 7 of the total species. However, neutral insects were more abundant than the other groups. The 8 abundance of different groups can be ranked by neutral insects (accounting for 62.13% of 9 the total number of individuals), herbivores (27.24%), predators (6.79%), and parasitoids 10 (3.84%) (Table 2). 11 2.2 Species diversity of the predatory group 12 The species richness in the predatory group was the highest in CG1 and lowest in CK. 13 The other treatments of intercropping had similar numbers of species, ranging from 23 to 29 14 in CG2, CL1, CL2, CB1, and CB2 (Table 3). 15 The highest number of predatory individuals was found in CL1 (141.67 predators/plot), 16 followed by CG1, whereas the lowest was in CB1 (97.67 predators/plot). There was no 17 significant difference (P>0.05) among CG2, CL2, CB1, CB2 and CK; however, a 18 significantly (P≤0.05) higher predatory population was found in CL1 than in other treatments, 19 except for CG1 (Table 3). 20 In general, for the predatory group, significantly (P≤0.05) higher diversity indices were 21 observed in the intercropping systems, except for CL1, than in the monoculture system (Table 22 3). In particular, the highest value was obtained in CB1, whereas the lowest was in CK. No 23 significant (P>0.05) difference was observed between CL1 and CK (Table 3). 6 1 The evenness indices of the predatory group of all cropping systems were very similar, 2 with a value of approximately 0.80. Only CL1 presented a value below 0.74. Statistical 3 analysis revealed a significantly (P≤0.05) lower evenness index in CL1 than in the other 4 systems. No significant difference (P>0.05) was found between CB1 and CB2. The evenness 5 indices in CG1, CG2, CL2 and CK were the same at 0.80 (Table 3). 6 The index of dominance, estimated for the predatory group by Simpson’s method (1949), 7 was highest in CL1 and CK treatments. The lowest occurred in CB1 and CB2 (Table 3). The 8 ANOVA indicated that CG1, CG2 and CL2 had significantly (P≤0.05) lower dominance 9 indices than CL1 and CK (Table 3). 10 Overall, higher species richness was observed in the intercropping systems than in 11 monoculture (Fig. 2). The peak occurred from day 20 to day 36 varying from 16 to 19 12 predatory species (Fig. 2). A similar trend occurred in CG1 and CL2, where the seasonal 13 trend was characterized by a slow increase and a subsequent sharp drop (Fig. 2). The species 14 richness of CK consistently increased throughout the growing season (Fig. 2). 15 On day 12, a distinctly higher abundance of predators was observed in CL1, as compared 16 to CK (Fig. 3). The seasonal trends were generally similar in CG1 and CG2, and peaked on 17 day 24. During day 16 and day 32, higher abundance was found in the intercropping systems 18 CG1, CG2 and CB2 than CK. A continuous increase was observed in CK over the duration of 19 the growing season (Fig 3). 20 2.3 Seasonal trends of major predators 21 The most abundant predators found in our study were spiders of the family Theridiidae, 22 followed by the wolf spider of the family Lycosidae. Of the total complex of predators, 23 34.04% was from the family Theridiidae, and 30.57% from Lycosidae. 7 1 Despite a peak population of wolf spider collected in CL1 during the seedling period, 2 similar trends occurred in all cropping systems from day 20 to day 36 (Fig.4). During the 3 growing season, the population levels of spiders in CG1, CL1, and CB1 were higher than in 4 CK with a consistent increase in abundance (Fig. 4). Meanwhile, a similar trend with slight 5 increases in abundance over the season occurred in other trials, including CG2, CL2, CB2 6 and CK (Fig. 4). 7 Few spiders from the family of Theridiidae were collected from day 8 to day 16, and 8 the population levels started to increase after day 20 (Fig. 5). Similar trends occurred in CG1, 9 CG2, CB1 and CL2 with the characteristic initial increase followed by a sharp drop and an 10 increase (Fig. 5). On the other hand, consistent growing trends were found in CL1 and CK. 11 Both CL1 and CK populations of spiders peaked on day 36, and their seasonal trends 12 seemed to be synchronized throughout the season (Fig. 5). 13 14 3 Discussion 15 Higher species richness and diversity indices of predators were found in intercropping 16 systems than in monocultures. Similar results were also found by Munyuli et al.[22, 23]. They 17 reported that higher abundance of predators (e.g., Coccinellidae, Staphylinidae, Syrphidae, 18 Anthocoridae, Mantidae, Dermaptera, ground beetle, predatory mite, lygaeid bugs, 19 anthocoridae, dragonflies and spiders) and higher index of diversity were observed to be 20 associated with cowpea/green gram systems. In light of the “nature enemy hypothesis”, 21 intercropping can ensure the spatial and temporal availability of resources for predators and 22 thereby increase predator diversity. 23 In our study, spiders were the dominant predators, and most of them belonged to the 8 1 family Theridiidae (34.04% of the total numbers of individuals in the predator group) and 2 family Lycosidae (30.57%) in intercropping vegetable fields. Sunderland and Samu 3 reviewed the literature regarding the influences of plant diversification on spider abundance. 4 They found that diversification increased spider abundance by in 63% of the studies involving 5 intercropping, non-crop strips, under-sowing or partial weediness. Similarly, spiders were 6 dominant taxa in paddy fields [25], forest-floor systems [26], tea gardens [27] and cotton fields [28]. [24] 7 Comparing spider abundance in different plots, we found that more wolf spiders were 8 observed in the intercropping systems than in the monoculture, which implies that the 9 increased abundance of spiders might be related to crop species composition and plant density. 10 Moreover, predators might respond more to habitat type than prey density [29, 30]. Habitat types 11 are related to the plant species. Van Emden stated that plant diversity provides sufficient 12 alternative prey for the generalist predators to establish their populations within a crop before 13 the arrival and seasonal increase of pests [31]. Crop diversification in terms of heterogeneity 14 and weediness as well as by intercropping and the presence of the field boundaries could also 15 enhance field predator assemblages [32]. For example, a significantly greater number of ground 16 predators (e.g., Carabidae, Staphylinidae and spiders) was caught in the weedy and clover 17 plots than in the clean cultivated plots [12]. 18 Although there have been many studies on the effects of botanical diversity on predators, 19 current researchers focus more on the surrounding habitats (such as field margins, weed strips 20 and no-tillage production systems[33, 34, 35, 36, 37] ) than on intercropping regimes. The difference 21 in crop structure and culture practices, including habitat diversification and the provision of 22 ground cover, could affect spider density and community composition [29, 38]. Future studies 9 1 are required to test the underlying principles of predatory efficiency in intercropped systems. 2 Acknowledgments 3 The study was supported by the Fujian Provincial Science and Technology Foundation 4 through project 2002N007, entitled “Bio-community Diversity in Vegetable Fields and 5 Sustainable Control of Dominant Insect Pests”. We greatly thank Prof. Huang Jin-Zhi, Dr. 6 Shiyou Li and Dr. Krista Ryall for their help in revising the manuscript. 7 8 References 9 [1] Altieri M A. Traditional farming in Latin America. The Ecologist, 1991, 21: 93-96. 10 11 [2] Altieri M A. Biodiversity and pest management in agroecosystems. New York: Haworth Press. 1994. 12 [3] You M S, Xu Q Y. Species composition, richness and diversity of insect communities in 13 cruciferous fields in Fuzhou’s suburb. Journal of Fujian Agricultural University, 2000, 29: 14 444-452. 15 16 17 18 19 20 21 [4] You M S, Liu Y F, Hou Y M. Biodiversity and integrated pest management in agroecosystems. Acta Ecologica Sinica, 2004, 24(1): 117-122. [5] Elmore R W, Jackobs J A. Yield and yield components of sorghum and soybeans of varying plant heights when intercropped. Agronomy Journal, 1984, 76: 561-564. [6] Blaser B C, Signer J W, Gibson L R. Winter cereal, seeding rate, and intercrop seeding rate effect on red clover yield and quality. Agronomy Journal, 2007, 99: 723-729. [7] Kremer R J, Kussman R. Intercropping with kura clover improves soil quality in a pecan 10 1 agroforestry system., Soil and Water Conservation Society Annual Meeting. July 26-30, 2008, 2 Tuscan, AZ. 3 4 5 6 7 8 [8] Singer J W. Corn Belt Assessment of Cover Crop Management and Preferences. Agronomy Journal, 2008, 100: 1670-1672. [10] Andow D A. Vegetational diversity and arthropod population response. Annual Review of Entomology, 1991,36: 561-586. [11] Landise D A, Wratten S D, Gurr G M. Habitat management to conserve natural enemies of arthropod pests in agriculture. Annual Review of Entomology, 2000, 45: 175–201. 9 [12] Altieri M A, Wilson R C, Schmidt L L. The effects of living mulches and weed cover on the 10 dynamics of foliage- and soil-arthropod communities in three crop systems. Crop Protection, 11 1985, 4(2): 201-213. 12 [13]Hummel R L, Walgenbach J F, Hoyt G D, Kennedy G G. Effects of vegetable production 13 system on epigeal arthropod populations. Agriculture, Ecosystems and Environment, 2002, 14 93:177-188. 15 16 17 18 19 20 21 22 [14] Finch S. Integrated pest management of the cabbage root fly and the carrot fly. Crop Protection, 1994, 12(6): 423-430. [15] Armstrong G, McKinlay R G. Vegetation management in organic cabbages and pitfall catches of carabid beetles. Agriculture, Ecosystems and Environment, 1997, 64(3): 267-276. [16] Liu Y F, Zhang G R, Gu D X. Study of arthropod community in rice fields by refit suction sampler. Plant Protection, 1999, 25(6), 39-40. [17] Shannon C E, Wiener W. The Mathematical Theory of Communication. Urbanna: University of of Illinois, 1949, p:117. 11 1 2 [18] Pielou E.C. The measurement of diversity in different types of biological collections. Journal of Theoretical of Biology, 1966, 13: 131-144. 3 [19] Simpson E H. Measurement of diversity. Nature, 1949,163: 688. 4 [20] Liu Y F. Study on the arthropod communities in rice ecosystem. Dissertation of Zhongshan 5 6 7 University. 2000. [21] Tang Q Y, Feng M G. Practical statistics and DPS data processing system. Beijing: China Agricultural Press, China. 1997, p43-243 8 [22] Munyuli M B T, Luther G C, Kyamanywa S. Effects of cowpea cropping systems and 9 insecticides on arthropod predators in Uganda and Democratic Republic of the Congo. Crop 10 Protection, 2007, 26(2): 114-126. 11 [23] Munyuli M B T, Kyamanywa S, Luther G C. Effects of groundnut genotypes, cropping 12 systems and insecticides on the abundance of native arthropod predators from Uganda and 13 Democratic Republic of Congo. Bulletin of Insectology, 2008, 61 (1): 11-19. 14 [24] Sunderland K. Samu F. Effects of agricultural diversification on the abundance, distribution, 15 and pest control potential of spiders, a review. Entomologia Experimentalis et Applicata, 16 2000, 95(1): 10-13. 17 18 19 20 21 22 [25] Li Z S. Effects of the Fertilization Application on the Arthropod Community in Rice Field. Dissertation of Fujian Agriculture and Forestry Universtiy. Fuzhou, Fujian. 2005. [26] Lawrence K L, Wise D H. Spider predation on forest-floor Collembola and evidence for indirect effects on decomposition. Pedobiologia, 2000, 44: 33-39. [27] Chen F Y, Chen Z H, Song S Q, Xu H Z. Review on the investigation and protection measurement of spiders in Chinese tea gardens. Acta Arachnologica Sinica, 2004, 2: 62-65. 12 1 [28] Liu W X, Hou M L, Wang F H, Wang F L. Temporal and spatial niche dynamics of spiders 2 and their control effects on cotton bollworms in transgenic Bt cotton fields. Entomological 3 Knowledge, 2003, 40: 65-68. 4 [29] Nyffeler M, Sunderland K D. Composition, abundance and pest control potential of spider 5 communities in agroecosystems: a comparison of European and US studies. Agriculture, 6 Ecosystems and Environment, 2003, 95(2): 579-613. 7 [30] Vakanas G, Krafft B. Regulation of the number of spiders participating in collective prey 8 transport in the social spider Anelosimus eximius (Araneae, Theridiidae). Comptes 9 Rendus Biologies, 2004, 327(8): 763-772. 10 [31] Van Emden H F. Plant diversity and natural enemy efficiency in agroecosystems. In: 11 Mackauer, MEhler, L.E. Roland, J. eds. Critical Issues in Biological Control. UK: 12 Intercept, Andover, Hants 1990, p. 63–80. 13 [32] Kromp B. Carabid beetles in sustainable agriculture: a review on pest control efficacy, 14 cultivation impacts and enhancement. Agriculture, Ecosystems and Environment, 1999, 15 74: 187-228. 16 [33] Patt J M, Hamilton G C, Lashomb J H. Impact of strip-insectary intercropping with 17 flowers on conservation biological control of the Colorado potato beetle. Advances in 18 Horticultural Science,1997, 11: 175-181. 19 [34] Cameron P J, Allan D J, Walker G P, Wightman J A. Management experiments on 20 aphids (Acyrthosiphon spp.) and beneficial insects in lucerne. New Zealand Journal of 21 Experimental Agriculture, 1983, 11: 343–49. 22 [35] Thomas M B, Wratten S D, Sotherton N W. Creation of ‘‘island’’ habitats in farmland to 13 1 manipulate populations of beneficial arthropods: predator densities and species 2 composition. Journal of Applied Ecology, 1992, 29: 524–531. 3 [36] Thomas M B, Sotherton N W, Coombes D S, Wratten, S D. Habitat factors influencing 4 the distribution of polyphagous predatory insects between field boundaries. Annals of 5 Applied Biology, 1992, 120: 197– 202. 6 [37] Kozar F, Brown M W, Lightner G. Spatial distribution of homopteran pests and 7 beneficial insects in an orchard and its connection with ecological plant protection. 8 Journal of Applied Entomology, 1994,117(5): 519-529. 9 [38] Major R E, Gowing G, Christie F J, Gray M, Colgan D. Variation in wolf spider (Araneae: 10 Lycosidae) distribution and abundance in response to the size and shape of woodland 11 fragments. Biological Conservation, 2006, 132(1): 98-108. 12 13 14 15 Fig. 1 Map of Langqi Island. The noted astral symbol is the trial site on the island. 16 14 1 A Mean No.of Species 25 20 CG1 15 CG2 10 CK 5 0 0 8 12 16 20 24 No.Day after seeding 28 32 36 Mean No.of Species 25 20 B CL1 15 CL2 10 CK 5 0 0 8 12 16 20 24 No.Day after seeding 28 32 36 Mean No.of Species 25 C 20 CB1 15 CB2 10 CK 5 0 0 8 12 16 20 24 No.Day after seeding 28 32 36 Fig. 2 Effects of Chinese cabbage monoculture (CK) and Chinese cabbage intercropping with garlic (CG1), lettuce (CL) or green cabbage (CB) on seasonal trends of species richness2 in predatory guild at Langqi in 2004. 1. The plot planting design for the intercropping applied 2 ridges planted with Chinese cabbage and 1 ridge of accompanying plants, either garlic (CG1), lettuce (CL1) or green cabbage (CB1). The second design under-sowed Chinese cabbage in the middle (100 cm wide) and planted garlic (CG2), lettuce (CL2) or green cabbage (CB2) on both edges (25 cm wide) in a ridge. 2. Means calculated from a total 30 samples per treatment and the control with 3 replicates 15 1 Mean number of individual 2 120 A 100 80 CG1 60 CG2 CK 40 20 0 Mean number of individual 0 8 16 20 24 28 No.Day after seeding 32 36 120 100 80 CL1 60 CL2 CK 40 20 0 0 Mean number of individual 12 8 12 16 20 24 28 No.Day after seeding 32 36 120 100 B 80 CB1 CB2 60 CK 40 20 0 0 8 12 16 20 24 28 No.Day after seeding 32 36 Fig.3 Effects of Chinese cabbage monoculture (CK) and Chinese cabbage intercropping with garlic (CG1), lettuce (CL) or green cabbage (CB) on seasonal trends of species abundance2 in predatory guild at Langqi in 2004. 1. The plot planting design for the intercropping applied 2 ridges planted with Chinese cabbage and 1 ridge of accompanying plants, either garlic (CG1), lettuce (CL1) or green cabbage (CB1). The second design under-sowed Chinese cabbage in the middle (100 cm wide) and planted garlic (CG2), lettuce (CL2) or green cabbage (CB2) on both edges (25 cm wide) in a ridge. 2. Means calculated from a total 30 samples per treatment and the control with 3 replicates. C 16 Mean No. of Individuals 1 80 70 60 50 40 30 20 10 0 A CG1 CG2 CK 0 8 16 20 24 28 No.Day after seeding 32 36 B 100 Mean No. of Individuals 12 80 CL1 60 CL2 40 CK 20 0 0 8 12 16 20 24 28 No.Day after seeding 32 36 Mean No. of Individuals 60 C 50 40 CB1 30 CB2 CK 20 10 0 0 8 12 16 20 24 28 No.Day after seeding 32 36 Fig. 4 Fluctuation of population abundance2 in wolf spiders (Lycosida family) as affected by Chinese cabbage monoculture (CK) and Chinese cabbage intercropping with garlic (CG1), lettuce (CL) or green cabbage (CB) at Langqi in 2004. 1. The plot planting design for the intercropping applied 2 ridges planted with Chinese cabbage and 1 ridge of accompanying plants, either garlic (CG1), lettuce (CL1) or green cabbage (CB1). The second design under-sowed Chinese cabbage in the middle (100 cm wide) and planted garlic (CG2), lettuce (CL2) or green cabbage (CB2) on both edges (25 cm wide) in a ridge. 2. Means calculated from a total 30 samples per treatment and the control with 3 replicates. 17 1 Mean No. of individual 60 A 50 40 CG1 30 CG2 20 CK 10 0 0 8 Mean No. of individual 70 12 16 20 24 28 No.Day after seeding 32 36 B 60 50 CL1 40 CL2 30 CK 20 10 0 0 8 12 16 20 24 No.Day after seeding 28 32 36 Mean No. of individual 60 C 50 40 CB1 30 CB2 CK 20 10 0 0 8 12 16 20 24 No.Day after seeding 28 32 36 Fig. 5 Fluctuation of population abundance2 in spiders from Theridiidae family as affected by Chinese cabbage monoculture (CK) and Chinese cabbage intercropping with garlic (CG1), lettuce (CL) or green cabbage (CB) at Langqi in 2004. 1. The plot planting design for the intercropping applied 2 ridges planted with Chinese cabbage and 1 ridge of accompanying plants, either garlic (CG1), lettuce (CL1) or green cabbage (CB1). The second design under-sowed Chinese cabbage in the middle (100 cm wide) and planted garlic (CG2), lettuce (CL2) or green cabbage (CB2) on both edges (25 cm wide) in a ridge. 2. Means calculated from a total 30 samples per treatment and the control with 3 replicates. 2 18 1 Table 1 Plot design of the intercropping experimentation in Langqi. Replicate 1 Replicate 2 Replicate 3 CG1 CK CL1 CG2 CK CL2 CB1 CG2 CB2 CB2 CG1 CB1 CK CL1 CK CK CL2 CK CL2 CB2 CG2 CL1 CB1 CG1 2 3 Habitat Control (CK) Chinese cabbage-garlic system 1 (CG1) Chinese cabbage-garlic system 2 (CG2) Chinese cabbage-lettuce system 1(CL1) Chinese cabbage-lettuce system 2(CL2) Chinese cabbage-green cabbage system 1 (CB1) Planting model All ridges planted with the Chinese cabbages 2 ridges planted with the Chinese cabbages and intercropped with 1 ridge of garlic in-between Garlic planted on both edges (25 cm wide) and the Chinese cabbages under-sowed in the middle (100 cm wide) of a ridge 2 ridges planted with the Chinese cabbages and intercropped with 1 ridge of lettuce in-between Lettuce planted on both edges (25 cm wide) and the Chinese cabbages under-sowed in the middle (100 cm wide) of a ridge 2 ridges planted with the Chinese cabbages and intercropped with 1 ridge of green cabbages in-between Green cabbages planted on both edges (25 cm wide) and the Chinese cabbage- green cabbage Chinese cabbages under-sowed in the middle (100 cm wide) of system 2 (CB2) a ridge 4 19 1 Table 2 Species richness and abundance for each insect guild including neutral 2 insects, herbivores, predators and parasitoids in Chinese cabbage field at 3 Langqi, China, 2004. Total species Total abundance Numbers of Percentage Numbers of Percentage species (%) individuals (%) Neutral insects 27 15.43 33174 62.13 Herbivores 45 25.71 14543 27.24 Predators 59 33.71 3627 6.79 Parasitoids 44 25.14 2048 3.84 Total 175 100.00 53392 100.00 4 5 20 1 2 Table 3 Species richness, abundance, diversity index, evenness index and 3 dominant degree calculated for the predatory guild in Chinese cabbage fields at 4 Langqi in 2004. Total Treatment Mean No. of Mean Diversity Mean Evenness Mean Simpson's individuals index (H’) index (E) dominance index (C) number of Species CG11 33 132.67+8.02ab3 3.38+0.04 bc 0.80+0.03b 0.13+0.01b CG2 25 100.00+3.61c 3.37+0.05 bc 0.80+0.02b 0.14+0.01b CL1 29 141.67+4.73a 3.30+0.05 cd 0.74+0.03c 0.17+0.01a CL2 23 105.33+3.61bc 3.35+0.09 bc 0.80+0.02b 0.14+0.01b CB1 25 97.67+20.21c 3.78+0.38 a 0.89+0.02a 0.09+0.01c CB2 24 116.00+23.00abc 3.65+0.13 ab 0.88+0.01a 0.10+0.01c CK2 19 101.33+7.51bc 2.99+0.23 d 0.80+0.03b 0.17+0.02a 5 1. The plot planting design for the intercropping applied 2 ridges planted with 6 Chinese cabbage and 1 ridge of accompanying plants, either garlic (CG1), lettuce 7 (CL1) or green cabbage (CB1). The second design under-sowed Chinese cabbage 8 in the middle (100 cm wide) and planted garlic (CG2), lettuce (CL2) or green 9 cabbage (CB2) on both edges (25 cm wide) in a ridge. 10 2. The monoculture of Chinese cabbage was as the control (CK) with 3 replicates. 11 3. Means calculated from a total 30 samples per treatment with 3 replicates. Within 12 each column, means +SD marked by the same letters are not significantly different 13 at 5% level of significance, as determined by ANOVA Duncan’s test. 14 15 21