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2 November 2020 Effect of foundress population density and size on reproduction and population growth of a haplodiploid mite
Nuwan Weerawansha, Qiao Wang, Xiong Zhao He
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Abstract

Tetranychus ludeni Zacher (Acari: Tetranychidae) is an invasive polyphagous haplodiploid pest mite of many vegetable crops in many parts of the world. This study investigated the effects of simultaneous variations in the local foundress population density and size on the reproduction and population growth of T. ludeni. We show that negative population-density and -size dependency limited the reproduction of foundresses, where the effects of population size on population growth overweighed that of population density. We further demonstrate that ovipositing females could accelerate population growth rate (intrinsic rate of increase, rm) at higher population sizes by producing more daughters early during their lifespan, which can be an adaptive strategy to allow more daughters to complete development and disperse to reduce future food competition intensity. This study provided knowledge on population dynamics in response to foundress population density and size in general and T. ludeni population forecast and precise timing of pest management in particular.

Introduction

The ability of organisms to increase their populations is crucial to their establishment in a new habitat especially for the invasive species. Local foundress population density and size are two important socio-environmental factors that regulate reproduction and population growth (Kunin 1997a; Danko et al. 2018). The former represents a function of spacing between neighbouring individuals in a finite area and the latter is the number of individuals in a local population (Kunin 1997a). In nature, resources are unevenly partitioned among individuals, and this inequality increases when resources become scarce with increasing population density and size (Krebs 1971; Łomnicki 1978; Rodenhouse et al. 1997; Leips & Travis 1999; Creighton 2005; Goubault et al. 2007). Therefore, it is fundamentally important to understand the nature and extent of population regulation by density- and size-dependent processes in population ecology (Levins 1979; Newton 1994, 1998; Ferrer & Donazar 1996; Rodenhouse et al. 1997; Penteriani et al. 2003).

It is widely reported that population growth is a decreasing function of population density (Harrison & Cappuccino 1995; Turchin 1995; Sibly et al. 2005), inducing a negative density-dependent reproduction associated with present and/or past population densities (Adler & Levins 1994; Sinervo et al. 2000; Rotem & Agrawal 2003; Meylan et al. 2007; Allen et al. 2008; Creighton 2005; Leips et al. 2009). The negative density-dependent reproduction could arise either through decreasing territory quality and resource scarcity which limit the individuals to low provisioning rates at high population densities (Andrewartha & Birch 1954; Pulliam & Danielson 1991; Dhondt et al. 1992; Ferrer & Donazar 1996; Rodenhouse et al. 1997; Both 1998; Kruger & Lindstrom 2001; Danko et al. 2018), or by adjusting the reproductive behaviours of individuals as a response to the varying density within the same habitat (Lack 1954; Both 1998; Fernandez et al. 1998). In a similar fashion the size of a population may also affect its dynamics, especially when conspecifics compete for resources (Krebs 1971; Rodenhouse et al. 1997; Leips & Travis 1999; Creighton 2005; Goubault et al. 2007) and when there is direct interference among individuals (Post et al. 1997). However, most studies on density-dependent reproduction are based on the relationship between the mean reproduction and population density (see Sinclair 1989), without knowing whether density is the only cause of such a relationship or the extent to which individuals respond to the varying density (Kempenaers & Dhondt 1992; Both 1998). It is necessary to understand the role of population size in reproduction (Harris 1984; Saunders et al. 1991) or whether and how population size could mediate density-dependent reproduction.

Nevertheless, the effect of varying population size on population growth has received less attention. This may be because the different notions of population density and size are often highly intercorrelated in most natural populations (Gaston 1994; Saether et al. 2002; Sibly et al. 2005) and are hard to be differentiated (Kunin 1997a). In practice, population density is sometimes used in place of population size when population size is low (Saether et al. 2002; Sibly et al. 2005) and the negative effects of population size are often considered as the results of the density-dependent regulatory process mediated by negative reactions between population density and growth (Murdoch 1994; Turchin 1999). However, local population density and size may have different effects on population dynamics (reviewed in Kareiva 1983; Kunin 1997b). Therefore, ignoring the role of local population size in population regulation may magnify the impact of local population density. Few studies have quantitatively examined how reproduction or population growth is related to the variations of animal population density and size (Saether et al. 2002, 2016), probably because the spacing between individuals constantly shifts as individuals are mobile (Kunin 1997a). To date, little is known about whether population density and size interact and regulate population dynamics in the same way and whether individuals will adjust their reproductive strategies in response to variations of these two factors.

In this study, we used Tetranychus ludeni Zacher (Acari: Tetranychidae) as the model species to investigate how foundress population density and size affected the reproductive performance and population growth by altering the population size of a given population density and vice versa. T. ludeni is an invasive haplodiploid spider mite native to Europe and now globally distributed (Bolland et al. 1998). It attacks many vegetable crops in the world (Bolland et al. 1998; Zhang 2003; Adango et al. 2006; Gotoh et al. 2015). The mite has a short life cycle (10 days at 27–28°C) (Moros & Aponte 1994; Da Silva 2002; Adango et al. 2006), long longevity (up to 28 days) and high reproductive potential (up to 112 eggs) (Adango et al. 2006). Tetranychid females usually mate at emergence and then disperse to establish new colonies with a female-biased sex ratio (Carey & Bradley 1982; Macke et al. 2011). These life history characteristics may encourage the outbreaks of mite populations in the fields or greenhouses.

Based on the knowledge outlined above, we designed a factorial experiment by altering the population density for each test population size and vice versa, and tested two hypotheses: (1) ovipositing females make earlier reproductive effort at high population densities and sizes, and (2) ovipositing females have higher reproductive output and population growth at low population densities and sizes. We recorded daily oviposition patterns and lifetime fecundity and daughter production at various population densities and sizes and computed life table parameters. Information generated in this study will contribute to knowledge on population dynamics in response to foundress population density and size in general and T. ludeni population forecast and management in particular.

Materials and Methods

Mite colony

A laboratory colony of T. ludeni was initiated from adults collected on Passiflora mollissima (Kunth) in Palmerston North, New Zealand in September 2017, and reared on 3- to 5-week-old kidney bean plants (Phaseolus vulgaris L.) (Zhou et al. 2018). We started our colony by transferring about 2,000 individuals from the initial colony onto the bean plants in an aluminium-frame cage (30 cm length × 30 cm width × 65 cm height) covered with 200-mesh nylon gauze with a zip door (20 cm width × 55 cm height). The colony was maintained, and experiments were carried out in a walk-in climate control room at 25 ± 1°C and 40–50% RH with a photoperiod of 16:8 hrs (L:D).

Experimental design and data collection

We set up nine treatments of three population sizes (1, 5 and 10 ovipositing females per leaf square) and three foundress population densities (0.7, 1 and 2 ovipositing females/cm2), with 15–25 replicates for each treatment. To achieve the required population densities for the experiment, we altered the leaf area while keeping one of the three population size levels constant (Figure 1). To obtain mated females, we randomly collected the quiescent female deutonymphs from the colony and individually introduced them onto a 1-cm2 leaf square placed on wet cotton in a Petri dish (9.5 cm diameter and 1.0 cm height) with a mesh-sealed hole (1 cm diameter) in the middle of the lid. Before the quiescent female deutonymph emerged (silvery in colour), we introduced a newly emerged male produced by a virgin female onto the arena and we removed the male immediately after mating terminated. For each replicate, we transferred mated female(s) of a desired density onto a test leaf square in a Petri dish mentioned above, allowed them to lay eggs for 24 hours. We then transferred them to a new leaf square of the same size once every 24 hours until their death. The number of eggs laid on each leaf square was recorded under a stereomicroscope (Leica MZ12, Germany). The larvae and nymphs were allowed to feed on the same leaf square for five days, after which time they were transferred onto another clean fresh leaf square of the same size where they developed to adults. The number of emerged daughters was also recorded.

The life table parameters (Jervis et al. 2005) were calculated for each treatment by using the above data on daily survival and reproduction of foundresses. The intrinsic rate of increase (rm, daughters/ foundress/day) was estimated by solving the Lotka-Euler equation, fi01_2063.gif, where x is the pivotal age lx, is the proportion of the foundresses surviving to age x, and mx is the number of daughters produced per foundress at age x. The pivotal age x = x0 + xi, where xi is the age of ovipositing adults and x0 the developmental time from egg to adulthood ranging from 10.3 to 11.5 days. Other life table parameters included the net reproductive rate (R0 =fi02_2063.gif, daughters/foundress/generation), mean generation time [T = fi03_2063.gif, days], and doubling time [Dt =fi04_2063.gif, days]. For each treatment, a jackknife method (Caswell 2001) was used to estimate the life table parameters for each foundress and their means (± SE) for each treatment were calculated (Table S1).

Statistical analysis

All data were analysed using SAS software (SAS 9.4, SAS Institute Inc., Cary, NC). Rejection level of H0 was set at P < 0.05. For each treatment, an asymptotic exponential model (Archontoulis & Miguez 2015) was applied to fit the daily cumulative number of eggs and daughters produced (y) (Figures 2 and 3):

e01_2063.gif

where a is the maximum y value, x0 is the inflection point at which the instantaneous growth rate is maximized, b is the constant growth rate of the curve. We developed a nonlinear regression model to fit data of daily number of eggs and daughters produced (y) (Figures 2 and 3):

e02_2063.gif

where a is the maximum y at age x0, b is a constant rate controlling the width of the peak. For each model, the estimated parameters were compared between treatments according to the 95% confidence limits (CL), i.e., if the 95% CL overlapped, then there was no significant difference between treatments (Tables S2 and S3). NLIN Procedure was used for modelling.

FIGURE 1.

A diagram of factorial experimental design showing the population densities and sizes.

img-z4-2_2063.jpg

The life table parameters (y) were analysed by a generalized linear mixed model (GLIMMIX Procedure), with foundress population density and size and their interaction as fixed factors and replicate as a random factor (Figure 4):

e03_2063.gif

where a is the intercept, and b, c and d are the estimated constants of population density (PD) and size (PS) and their interaction (PD×PS), respectively. To minimise the potential effect of decreasing population density and size with the progress of experiment, data recorded within 15 days of foundress lifespan were used for analyses in this study because > 85% of lifetime eggs were laid during this period.

Results

We detected a negative density-dependent production of eggs and daughters (a in eq. 1) at higher foundress population sizes of 5 and 10 but not at the low population size of one foundress (Figures 2 and 3, Table S2). However, the number of eggs and daughters accumulated significantly faster at high population sizes of 5 and 10 than at the population size of only one foundress (b in eq. 1), except at the highest population density and size (Figures 2 and 3, Table S2). The daily number of eggs and daughters produced peaked significantly earlier (< 6 days) at high population sizes of 5 and 10 than that (7.4–8.5 days) at the population size of only one foundress regardless of local population densities (x0 in eq. 2), with a greater (a in eq. 2) and sharper peak (b in eq. 2) except at the highest population density and size (Figures 2 and 3, Table S3).

FIGURE 2.

Cumulative and daily number of eggs laid by a foundress at different population densities (0.7, 1 and 2 ♀/cm2) and sizes (1, 5 and 10 ♀). Cumulative number of eggs: y = a/{1+exp[-b(x-x0)]}; daily number of eggs: y = a/{1+[(x-x0)/b]2}. The arrows indicate the timing of peaks of eggs laid. The estimated parameters of models are listed in Tables S2 and S3.

img-z5-2_2063.jpg

FIGURE 3.

Cumulative and daily number of daughters produced by a foundress at different population densities (0.7, 1 and 2 ♀/cm2) and sizes (1, 5 and 10 ♀). Cumulative number of daughters: y = a/{1+exp[-b(x-x0)]}; daily number of daughters: y = a/{1+[(x-x0)/b]2}. The arrows indicate the timing of peaks of daughters produced. The estimated parameters of models are listed in Tables S2 and S3.

img-z5-4_2063.jpg

FIGURE 4.

Effects of foundress population density (number of foundresses/cm2) and population size (number of foundresses per leaf square) on life table parameters: (a) net reproductive rate (R0), (b) intrinsic rate of increase (rm), (c) generation time (T), and (d) doubling time (Dt). The estimated parameters of models are listed in Table S4.

img-z6-1_2063.jpg

Population density and size had no significant independent effect on the net reproductive rate (R0) but their significant negative interaction resulted in a decrease of R0 when both population density and size increased (Figure 4a, Table S4). Increase in population density caused a significant decrease of intrinsic rate of increase (rm) whereas increasing population size incurred a significant increase of rm (Figure 4b, Table S4). In contrast, increasing population density significantly prolonged the mean generation time (T) and doubling time (Dt) whereas increasing population size shortened these two parameters (Figure 4c–d, Table S4).

Discussion

In the present study, T. ludeni exhibited negative impacts of foundress population density and size on reproduction; however, the negative density-dependent reproduction was detected at higher population sizes of 5 and 10 foundresses but not at the low population size of one foundress, and foundresses at higher population sizes maximised their reproduction significantly faster and earlier during their lifespan, regardless of their local densities (Figures 2, 3 and 4a, Tables S2 and S3). The results have three implications. First, spider mites feed upon plant leaves by piercing cells and sucking cell contents, which will induce white or yellow spots or ‘stipplings’ and reduce the photosynthetic surface (Dhooria 2016). The overexploitation associated with quick cumulative excrement on host plants at high population densities may reduce the food availability and quality and thus offspring fitness. Furthermore, spider mites show scramble resource competition with a fast resource depletion when population density or size is high (Krips et al. 1998). Therefore, a decrease of reproduction under the elevated resource competition conditions can be considered as an adaptive strategy of ovipositing foundresses (De Roissart et al. 2016) to reduce the food resource competition of offspring with their mothers or among the offspring (Bonduriansky & Head 2007).

Second, the life history theory assumes that natural selection on organisms enables them to evolve optimal strategies, including the timing of reproduction and number of offspring produced, to maximize or optimize the reproductive fitness by allocating resources to a range of different demands throughout the lifespan (Stearns 1992; Roff 2002). A previous study reports that virgin females adjusted their resource allocations to yield larger sons that could produce more daughters at a higher rate, suggesting that T. ludeni has evolved the resource allocation strategy to compensate the loss of producing daughters for females at virgin stage through their sons' production of more daughters in the next generation (Zhou et al. 2018). Our results provide further evidence that foundresses maximising fecundity and producing more daughters during the early lifespan at higher population densities and sizes (Figures 2 and 3, Tables S2 and S3) could be a fitness advantage, as production of more daughters early enables more dispersing individuals to complete development, reducing future food competition intensity and elevating population growth (Osakabe et al. 2008; Yano 2008; Le Goff et al. 2010; Azandémè-Hounmalon et al. 2014).

Third, population density and size are usually intercorrelated in a population (Gaston 1994; Saether et al. 2002; Sibly et al. 2005) but are hard to be differentiated (Kunin 1997a). Previous studies have demonstrated the individual adjustment of reproductive behaviours in response to the varying density within a habitat (Lack 1954; Both 1998; Fernandez et al. 1998) rather than to the varying population size. In the present study, we differentiated the functions of population density and size and revealed that foundress population density and size interacted and affected the population dynamics in the same way (Figure 4a, Table S4); however, the negative density-dependent reproduction and early onset of reproductive peak occurred only when the population size was high. The results suggest that: (1) the individual adjustment of reproductive behaviours results from the increasing intensity of conspecific competition for resources (Krebs 1971; Rodenhouse et al. 1997; Leips & Travis 1999; Creighton 2005; Goubault et al. 2007) and direct interference among individuals (Post et al. 1997) at higher population sizes, and (2) the population size regulates population-density dependency and individual adjustment. Therefore, population size may have overweighed population density as a major socio-environmental factor regulating future population dynamics in T. ludeni.

The life table of a species summarises the life history characteristics such as survival, development, time of reproduction, and fecundity or female offspring production of individuals in a population (Jervis et al. 2005), reflecting the potential or capacity of population growth. Previous studies reveal that population density is a decreasing function of per capita growth (Harrison & Cappuccino 1995; Turchin 1995; Rotem & Agrawal 2003). We found that the simultaneous increase of population density and size reduced the net reproductive rate (R0) (Figure 4a). According to the mathematical equations for life table parameter calculation (Jervis et al. 2005), decreasing net reproductive rate (R0) will result in a smaller intrinsic rate of natural increase (rm) and longer doubling time (Dt). However, our results only partially agreed with the notion because rm was higher and Dt was shorter at lower population densities and higher population sizes (Figure 4b and d). These may be attributed to the faster rates of cumulative egg and daughter production and early onset of reproductive peak at higher population sizes (Figures 2 and 3, Tables S2 and S3). The higher rm reduced the Dt, and higher rm with relatively small R0 shortened the mean generation time (T) (Figure 3c; Jervis et al. 2005).

In conclusion, results of this study demonstrate that: (1) both negative population density- and size-dependence may limit T. ludeni reproduction but the effect of population size overweighed that of population density, and (2) ovipositing females are capable to accelerate population growth at higher population sizes through producing more daughters early during their lifespan. Our findings that the population grows faster at low population densities and high population sizes could be used to forecast the future population size and decide the timing of pest control.

Acknowledgements

We thank Professor Z.-Q. Zhang for identification of this spider mite to species, and Mrs. K. Sinclair, Mr. P. Zhou and Mr. D. Ristyadi for technical assistance. We also thank two anonymous reviewers for their constructive comments, which have significantly improved the article. This work was supported by Accelerating Higher Education Expansion and Development Project (AHEAD) launched by the Sri Lankan Government under the funds of the World Bank.

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Appendices

TABLE S1.

The estimated mean (± SE) lifetable parameters at different foundress population densities and sizes.

img-z11-15_2063.gif

TABLE S2.

Statistical results of modelling of cumulative eggs and daughters produced over foundress' age at different population densities and sizes.

img-z12-2_2063.gif

TABLE S3.

Statistical results of modelling of daily number of eggs and daughters produced over foundress' age at different population densities and sizes.

img-z13-2_2063.gif

TABLE S4.

Statistical results of modelling of life table parameters depending on foundress population density and size.

img-z14-2_2063.gif
Nuwan Weerawansha, Qiao Wang, and Xiong Zhao He "Effect of foundress population density and size on reproduction and population growth of a haplodiploid mite," Systematic and Applied Acarology 25(11), 2063-2076, (2 November 2020). https://doi.org/10.11158/saa.25.11.11
Received: 16 August 2020; Accepted: 15 October 2020; Published: 2 November 2020
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