Functional Response of the Predatory Mite Chileseius Camposi (Acarina: Phytoseiidae) on Densities of It Prey, Panonychus Ulmi (Acarina: Tetranychidae)

Functional Response of the Predatory Mite Chileseius Camposi (Acarina: Phytoseiidae) on Densities of It Prey, Panonychus Ulmi (Acarina: Tetranychidae)

Functional response of the predatory mite Chileseius camposi (Acarina: Phytoseiidae) on densities of it prey, Panonychus ulmi (Acarina: Tetranychidae) Francisco Sepúlveda1 & Roberto Carrillo1 1. Instituto de Producción y Sanidad Vegetal, Universidad Austral de Chile,Casilla 567, Valdivia, Chile; [email protected] Received 24-IV-2007. Corrected 01-II-2008. Accepted 31-VII-2008. Abstract: The functional response of the phytoseiid predator Chileseius camposi González y Schuster, 1962 (Acarina:Phytoseiidae) on densities of its prey Panonychus ulmi (Koch, 1836) was evaluated under controlled temperature (20 ± 2 ºC),, relative humidity (75 ± 15%) and photoperiod (16:8h L:D). A functional type II response was displayed (Holling’s disk). Holling, Wolf transformation and Rogers models gave similar values for estimating parameters of the Holling’s disk equation; however, estimates produced by the Livdahl and Stiven model were higher. Values of attack rate and handling time can be considered within the normal range for phy- toseiid generalists. Rev. Biol. Trop. 56 (3): 1255-1260. Epub 2008 September 30. Key words: Chilesius camposi, Panonychus ulmi, predation, functional response, Phytoseiidae. Chilesius camposi González y Schuster is Mori and Chant (1966) proposed a type IV, a dominant phytoseiid mite associated in sym- due they found a dome-shaped response result- patry with the European red mite Panonychus ing from confusing or inhibiting behavior of a ulmi (Koch) on apple tree Malus sylvestris Mill., timid predator and the consequent lower rate of in southern Chile (Venegas 1977, Guajardo attack at high prey densities. 1993). P. ulmi is the most serious pest of apple The functional response is one of the most and other deciduos fruit trees in Chile (Klein important aspects in the dynamics of a preda- and Waterhouse 2000). A review of its biol- tor-prey relationship, and is a major component ogy, pest status and the impact of pesticides on of population models (Berryman 1992). It has population dynamics are given by Van de Vrie been used to predict mechanisms underlying et al. (1972). predator-prey behavior to improve the practical Functional response, as described by predictive potential of predator candidates for Solomon (1949), is the change in prey num- biological control. ber killed per individual predator per unit of The type II functional response is described time, as function of changes in prey density. by two parameters a (attack rate) and Th (han- Holling (1959a, 1959b, 1961) proposed three dling time). Thus, accurate parameter estimation general types of functional response curves: becomes a prerequisite to make comparisons (1) describes a linear rise in prey consumption consequently, the method of parameter estima- to a plateau (type I), (2) cyrtoid curve rise at tion has become a very important and contro- an increasing rate to a plateau (type II), (3) versial subject. a sigmoid curve with a positive accelerating Therefore, the purposes of this research rate up to the inflection point and thereafter a were to determine the functional response of diminishing rate up to the plateau (type III). adult C. camposi to varying densities of adult Rev. Biol. Trop. (Int. J. Trop. Biol. ISSN-0034-7744) Vol. 56 (3): 1255-1260, September 2008 1255 female P. ulmi under laboratory conditions predator differential attack rate and handling and to compare different models to estimate time between males and females. a and Th. Holling (1956b): Na = -aThN + a MATERIALS AND METHODS Na = -aThN + a N C. camposi and P. ulmi, phytoseiid and tet- N ranychid mites respectively, used in function- Na = -aThN + a al response experiments were collected from apple leaves in Valdivia (39º47’S, 73º13’W) N Fan and Petitt (1994): Xª Región de Los Lagos, Chile. Leaves were N = ThN + 1 cut from apple trees on February 4th and 28th, N = ThN + 1 2002. These leaves were taken to the laboratory Na a Na a in large plastic boxes (30 x 20 cm) and mites N = T N + 1 were examined under a dissection microscope. h Excess leaves with mites were stored in plastic N (-aT +a aT N) a boxes at 15 ºC. Rogers (1972: [Na = N(1-e t h )] 1 = 1 + Th The experimental arena for this research 1 = 1 + Th consisted of excised pieces of apple leaf (diam- Na aN eter 2 cm) placed underside up, on a Petri dish Livdahl and Stiven (1983): Na aN (diameter 3.5cm) on a water film. To determine 1 = 1 + Th the functional responses of the adult stage, C. Na aN camposi was confined singly on experimental arenas with initial prey densities of 1, 5, 10, 20, 30 and 50 per plot. C camposi, is unable to consume spider mite eggs. Each predator was Na defines the number of individual prey starved for 24 hours before tests. The num- attacked per predator per time unit, N is the ber of prey killed per individual predator was original number of prey items offered to each recorded after 24 h exposure. The entire experi- predator at the beginning of the experiment, ment was conducted under controlled tempera- a’ is the rate of successful attack of prey by ture (20 ± 2 ºC), relative humidity (75±15%) a predator, Tt is the total time of exposure(24 and photoperiod at 16:8h (L:D), respectively. h in this experiment), Th is the handling time There were 25 replicates per density. (proportion of the exposure time that a preda- To establish the validity of the outcomes tor spends in identifying, pursuing, killing, and for comparative purposes, the following consuming and digesting prey). curve fitting models were used to estimate the Data were analyzed using least squares functional response parameters, attack rate regression by fitting a line through the data coefficient (a) and the handling time (Th) of points predicted by the descriptive functional C camposi preying on European red mite response equation using STATGRAPHICS adult female. Sexed female mites were used Plus 5.0. as prey, to reduce the effect that differential weight of prey should have on the attack rate RESULTS and handling time of the predator, since dif- ferent factors may affect the handling time of An increase in prey density eventually natural enemies e.g. the speed of predator and resulted in a higher predation rate. The func- prey, the size of the prey and time subduing. a tional response of C. camposi with adult prey (Hassell 1978) Unfortunately was not pos- female as prey showed a curvilinear rise to sible to sex C. camposi, to reduce the possible a plateau as seen in Table 1 and Fig. 1. The 1256 Rev. Biol. Trop. (Int. J. Trop. Biol. ISSN-0034-7744) Vol. 56 (3): 1255-1260, September 2008 TABLE 1 Prey density and attack parameters No Na NH NW NL&S NR 1 0.34 ± 0.06 a 0.24 0.26 0.34 0.25 5 1.04 ± 0.30 b 1.03 1.12 1.12 1.00 10 1.49 ± 0.46 c 1.75 1.91 1.59 1.59 20 2.80 ± 1.10 d 2.70 2.98 2.00 2.26 30 3.09 ± 1.08 d 3.30 3.66 2.19 2.62 50 3.38 ± 1.04 d 4.00 4.47 2.37 3.02 χ2 value 0.198 0.304 0.491 1.134 Initial prey density (No), observed mean number of prey attacked (Na) and expected number of prey attacked based on Holling (1959b) (NH), Woolf transformation (NW), Livdahl and Stiven (1983) (NL&S) and Rogers (1972) (NR) models. No significant difference between observed and expected number of prey attacked per predator. (χ2 goodness of fit test, p < 0.05). 6 5 4 Na Holling 3 Woolf L&S 2 Rogers 1 No. prey killed prey per predator No. 0 0 10 20 30 40 50 60 Prey density Fig. 1. The number of P ulmi consumed per experiment as a function of the number of P. ulmi available in the experi- mental plot. daily feeding of adult C. camposi on adult DISCUSION females of P. ulmi increased at an accelerated rate when prey density was between 5 and 30 It was clearly demonstrated that increase prey. Predation rate started to level off at a prey of prey number was related to the daily con- density of 30-50. The plateau was reached at sumption number of P. ulmi. The predation rate approximately 3.38 prey items per day. tended to decrease with prey density, probably The average number of adult females con- due to an increasing satiation by predators in sumed by one predator per day was 3.38 + 1.04, patches of higher density. Thus predation rates ranging from 0 to 6. Daily predation rate gradu- followed a type II functional response which is ally increased when P. ulmi were provided at shared by most phytoseiid predators (Sabelis increasing prey densities (Fig. 1). 1986). Rev. Biol. Trop. (Int. J. Trop. Biol. ISSN-0034-7744) Vol. 56 (3): 1255-1260, September 2008 1257 However, it is necessary to consider the TABLE 2 results with caution because in other experi- Parameters of the functional response of C. camposi adults feeding on P. ulmi adults, estimated by four ment, when the excised pieces of leaves were functional response models changed to a whole plant system and hence the predators were allowed to disperse from Model a’ T areas of low return (rewards) to more profit- h able patches of prey, the functional response Holling 0.24 0.16 Wolf transformation 0.26 0.25 changed from type II to type III. The functional Livdahl and Stiven 0.38 0.36 response type III is the only type that contrib- Rogers 0.26 0.14 utes to prey population regulation (Hassell 1976, Hassell 1978).

View Full Text

Details

  • File Type
    pdf
  • Upload Time
    -
  • Content Languages
    English
  • Upload User
    Anonymous/Not logged-in
  • File Pages
    6 Page
  • File Size
    -

Download

Channel Download Status
Express Download Enable

Copyright

We respect the copyrights and intellectual property rights of all users. All uploaded documents are either original works of the uploader or authorized works of the rightful owners.

  • Not to be reproduced or distributed without explicit permission.
  • Not used for commercial purposes outside of approved use cases.
  • Not used to infringe on the rights of the original creators.
  • If you believe any content infringes your copyright, please contact us immediately.

Support

For help with questions, suggestions, or problems, please contact us