Ecology, 0(0), 2020, e03197 © 2020 by the Ecological Society of America
Transient top-down and bottom-up effects of resources pulsed to multiple trophic levels
1,3,5 2,4 2 2 MATTHEW A. MCCARY , JOSEPH S. PHILLIPS , TANJONA RAMIADANTSOA , LUCAS A. NELL , 2 2 AMANDA R. MCCORMICK , AND JAMIESON C. BOTSCH 1Department of Entomology, University of Wisconsin, Madison, Wisconsin 53706 USA 2Department of Integrative Biology, University of Wisconsin, Madison, Wisconsin 53706 USA
Citation: McCary, M. A., J. S. Phillips, T. Ramiadantsoa, L. A. Nell, A. R. McCormick, and J. C. Botsch. 2020. Transient top-down and bottom-up effects of resources pulsed to multiple trophic levels. Ecology 00 (00):e03197. 10.1002/ecy.3197
Abstract. Pulsed fluxes of organisms across ecosystem boundaries can exert top-down and bottom-up effects in recipient food webs, through both direct effects on the subsidized trophic levels and indirect effects on other components of the system. While previous theoretical and empirical studies demonstrate the influence of allochthonous subsidies on bottom-up and top- down processes, understanding how these forces act in conjunction is still limited, particularly when an allochthonous resource can simultaneously subsidize multiple trophic levels. Using the Lake Myvatn´ region in Iceland as an example system of allochthony and its potential effects on multiple trophic levels, we analyzed a mathematical model to evaluate how pulsed subsidies of aquatic insects affect the dynamics of a soil–plant–arthropod food web. We found that the relative balance of top-down and bottom-up effects on a given food web compartment was determined by trophic position, subsidy magnitude, and top predators’ ability to exploit the subsidy. For intermediate trophic levels (e.g., detritivores and herbivores), we found that the subsidy could either alleviate or intensify top-down pressure from the predator. For some parameter combinations, alleviation and intensification occurred sequentially during and after the resource pulse. The total effect of the subsidy on detritivores and herbivores, including top- down and bottom-up processes, was determined by the rate at which predator consumption saturated with increasing size of the allochthonous subsidy, with greater saturation leading to increased bottom-up effects. Our findings illustrate how resource pulses to multiple trophic levels can influence food web dynamics by changing the relative strength of bottom-up and top-down effects, with bottom-up predominating top-down effects in most scenarios in this subarctic system. Key words: allochthonous inputs; bottom-up; food webs; resource pulses; subsidy; top-down.
by plants, which in turn leads to elevated biomass and INTRODUCTION diversity at higher trophic levels (Sanchez-Pinero and Temporal variation in the availability of either inter- Polis 2000). They can also affect top-down control on nally (autochthonous) or externally (allochthonous) lower trophic levels by increasing predator populations derived resources can alter the dynamics of ecological (Henschel et al. 2001, Luskin et al. 2017). For example, systems (Anderson et al. 2008, Yang et al. 2010, Hast- aquatic insects moving from water to land can subsidize ings 2012). Resource pulses are episodic, short-duration diverse communities of terrestrial predators such as spi- events of enhanced resource availability that can exert ders (Power et al. 2004) and birds (Nakano and Mura- both direct and indirect bottom-up effects on recipient kami 2001), enhancing top-down control on local ecosystems (Yang et al. 2008). Pulsed allochthonous herbivores and thereby increasing plant productivity. resources to terrestrial ecosystems (e.g., seabird guano Resource pulses potentially exert multiple direct and on subarctic islands) can increase primary production indirect effects on recipient systems, making them a valu- able context in which to study temporal variation in the strength of bottom-up and top-down control, a topic of Manuscript received 1 March 2020; revised 20 July 2020; accepted 7 August 2020. Corresponding Editor: Evan L. Preis- recent and general ecological interest (Meserve et al. ser. 2003, Fath et al. 2004, Polishchuk et al. 2013, Leroux 3School of the Environment, Yale University, New Haven, and Loreau 2015, Vidal and Murphy 2018, Piovia-Scott Connecticut, USA et al. 2019). 4Department of Aquaculture and Fish Biology, Holar´ University, Skagafjor¨ ður, Iceland The influence of resource pulses on bottom-up and 5 E-mail: [email protected] top-down effects depends on a variety of factors,
Article e03197; page 1 Article e03197; page 2 MATTHEWA. MCCARY ET AL. Ecology, Vol. xx, No. xx including the magnitude of the pulse, the trophic Midge position of recipient populations, the structure of the Midges inputs (M ) recipient food web, and the relative propensity of the (iM ) recipient population to exploit the allochthonous resource (Huxel and McCann 1998, Leroux and Lor- eau 2012, Miller et al. 2019). Theoretical models show that allochthonous subsidies can increase the strength Predators of trophic cascades in simple food webs, with the (X ) strength of the cascade being mediated by consumers with an intermediate preference for allochthonous vs. + + autochthonous resources (Leroux and Loreau 2008). Temporal shifts in the strength of top-down and bot- tom-up effects due to subsidies have also been Detritivores Herbivores observed empirically. For example, island lizards tem- (V ) (H ) porarily reduced predation on local herbivores when pulsed seaweed subsidies increased detritivorous prey, + + but after the pulse-associated period of enhanced resource availability, top-down pressure on herbivores strengthened due to elevated lizard abundance (Pio- Detritus Plants via-Scott et al. 2019). (D ) (P ) While previous theoretical (Huxel and McCann 1998, Leroux and Loreau 2012, Miller et al. 2019) and empir- + + ical (Nowlin et al. 2007, Hoekman et al. 2011, Yee and Juliano 2012) studies demonstrate the influence of External allochthonous subsidies on bottom-up and top-down Soil inputs (I ) processes, our understanding of how allochthony influ- (iI ) ences these forces in conjunction is still poor. Moreover, an allochthonous resource may also simultaneously subsidize multiple trophic levels, a research topic that has also received limited attention. To address these FIG. 1. Conceptual diagram showing how midge pulses are incorporated into the Myvatn´ terrestrial food web for our issues, we developed a mathematical model that reflects model, with arrows showing the flow of N. Black arrows illus- the terrestrial food web adjacent to Lake Myvatn´ in trate the movement of N (i.e., consumption, remineralization, northeastern Iceland (Fig. 1). Myvatn´ is naturally and uptake) through the food web. Solid gray arrows indicate eutrophic and sustains large populations of midges the loss of N via mortality; the gray dotted arrow denotes N loss from the system from the soil compartment. Other model (Diptera: Chironomidae), which emerge as adults for parameters are omitted for simplicity. several weeks each year and form mating swarms over the surrounding heathland landscape. When not swarm- ing, the adult midges settle in the vegetation where they become an abundant food resource for predatory Liebhold 2005); however, most cicadas escape predation arthropods (Dreyer et al. 2016, Sanchez-Ruiz et al. and become deposited as detritus following death (Yang 2018). In addition, when the midges die uneaten, their 2004, Nowlin et al. 2007). carcasses enter the detrital food web and subsidize the We analyzed a mathematical model of a soil–plant–- soil biota (Hoekman et al. 2011), ultimately leading to arthropod food web receiving an allochthonous resource the remineralization of nitrogen (N) and other nutrients that directly subsidizes both predators (as live prey) and that affect plant productivity and community composi- detritus (as carcasses). We asked three questions: (1) tion (Gratton et al. 2017). Because midges subsidize How do allochthonous pulses entering multiple com- both upper (as prey) and lower (as detritus) trophic partments affect transient top-down and bottom-up levels (Fig. 1), this resource pulse potentially exerts effects on recipient food webs? (2) Does the relative both bottom-up and top-down effects on the intermedi- strength of top-down and bottom-up effects induced by ate trophic levels, such as detritivorous and herbivorous resource pulses differ between intermediate trophic levels arthropods. While Myvatn´ has particularly large aqua- (i.e., detritivores and herbivores)? (3) Under what condi- tic insect emergences, the general phenomenon of tions do bottom-up vs. top-down effects dominate when allochthony having an effect as both a prey item and as an allochthonous pulse enters multiple entry points? To a detrital input is not unique. For example, the 13- or address these questions, we examined the responses of 17-yr periodical cicada (Magicicada spp.) can fall prey intermediate trophic levels that are not directly subsi- to many terrestrial predators (e.g., birds, reptiles, and dized by the allochthonous resource, which allowed us rodents) during emergences in North American forests to examine the indirect effects of subsidies that propa- (Karban 1982, Williams et al. 1993, Koenig and gate throughout the food web. Xxxxx 2020 TRANSIENT EFFECTS OF PULSED RESOURCES Article e03197; page 3
Each living pool experiences density-dependent losses METHODS due to processes such as mortality, excretion, and shed- ding of tissue (e.g., leaves). Model structure Plant uptake of N from the soil-nutrient pool, detriti- We analyzed a model informed by the terrestrial food vore consumption of detritus, and herbivore consump- web surrounding Lake Myvatn´ where midges are tion of plants are all modeled as type-II functional allochthonous inputs to multiple trophic levels. We for- responses (Holling 1959), whereby uptake saturates with mulated the model in terms of nitrogen (N) to provide a increasing resource availability. Predator consumption “common currency” among the inorganic, dead, and liv- of herbivores, detritivores, and midges is modeled as a ing pools. We chose N as our common currency because multispecies type-II functional response (Murdoch it is one the most limiting elements in arctic ecosystems 1969), whereby consumption of each of the pools satu- (Chapin III et al. 1986, Manzoni et al. 2010), biological rates with the total availability of all three pools. For processes are intimately involved in its circulation both single and multispecies functional responses, the through terrestrial systems (Bosatta and Agren˚ 1996), saturation is influenced by both the uptake or “attack” and it is a common tracer used in other food web studies rate (the rate at which uptake increases when resources (Liu et al. 2005, Zelenev et al. 2006, Manzoni and Por- are sparse) and the “handling time” (the inverse maxi- porato 2009). mum uptake rate when resources are abundant). For We analyzed a hybrid community–ecosystem model as simplicity, we use the same predator handling time for a system of ordinary differential equations (ODEs) com- detritivores and herbivores; however, we use a separate bining classical consumer–resource dynamics (e.g., Rosen- handling time for midges and explore how variation in zweig and MacArthur 1963) with nutrient cycling via this value affects the dynamics. The midge handling time inorganic soil and detrital N pools (DeAngelis 1992, Lor- likely varies depending on the size and composition of eau 2010). The model contains seven N pools: midges the midge subsidy; at Myvatn,´ the individuals within (M), inorganic soil N (I), detritus (D), plants (P), detritiv- midge swarms vary in size. orous arthropods (V), herbivorous arthropods (H), and Together, these assumptions translate into the follow- predatory arthropods (X; Fig. 1). While the model does ing system of ODEs: not explicitly include microbial pools, it does include microbially mediated processes such as decomposition dI μ aI IP μ ¼ iI þ ðÞ1 l DD I I and remineralization; this is equivalent to assuming that dt 1 þ aI hI I these processes are proportional to the substrate availabil- ity but not microbial biomass. We perturbed the model dD μ ∑ with pulsed inputs to the midge pool, which in turn ¼ ðÞ1 l M M þ ðÞ1 l dt j ∈fgP,V,H,X directly subsidized the detritus and predatory arthropods; therefore, effects of the midge pulse on the other trophic μ aDDV μ j þ mjj j DD levels arise through bottom-up and top-down processes 1 þ aDhDD propagating from predators and detritus. The model was formulated such that equilibria were locally stable (Hast- dP aI IP aPPH μ ings 2013; Appendix S1: Section S1 and Appendix S2: ¼ ðÞP þ mPP P dt 1 þ aI hI I 1 þ aPhPP Fig. S1) in the absence of allochthonous pulses, which allowed us to track the temporal variation in bottom-up dV aDDV aX VX and top-down effects during and after the pulse as the ¼ dt 1 þ aDhDD 1 þ aX hX H þ aX hX V þqaX hM M system returned to equilibrium. ðÞμ þ m V V In the model, soil nutrients increase from a fixed exter- V V nal input rate and remineralization of detritus, while the dH a PH a HX detritus pool increases through losses from the living ¼ P X dt 1 a h P 1 a h H a h V qa h M pools (i.e., non-consumptive mortality) and midges. The þ P P þ X X þ X X þ X M μ transfer of N to both the soil and detritus pools is ðÞH þ mH H H assumed to occur with some inefficiency (the terms “1 – l” in Eq. 1), reflecting inefficient transfer of nutrients dX ðÞaX V þ aX H þ qaX M X μ ¼ ðÞX þ mX X X between trophic levels and facilitating the stability of the dt 1 þ aX hX H þ aX hX V þ qaX hM M model in the absence of the midge pulse (Leroux and Loreau 2008, Loreau 2010). The living pools increase dM qaX MX μ ¼ iMtðÞ M M through N uptake from the inorganic pool or consump- dt 1 þ aX hX H þ aX hX V þ qaX hM M tion from either the detritus or living pools (Fig. 1), an (1) approach similar to models presented in Loreau (2010). Gains to the living pools are in terms of N, and therefore with state variables and parameters defined in Table 1. are not only due to the reproduction of individuals, but The input of midges to the system is characterized as also to increases in individual N content (i.e., biomass). a step-function Article e03197; page 4 MATTHEWA. MCCARY ET AL. Ecology, Vol. xx, No. xx
TABLE 1. Food web model parameter definitions.
Pool Description Units Baseline value I inorganic soil nitrogen (N) g N/m2 250† D detritus g N/m2 15† P plants g N/m2 40† V detritivores g N/m2 1† H herbivores g N/m2 1† X predators g N/m2 0.5† M midges g N/m2 NA −2 −1 iI inorganic nutrient input rate g N m d 10‡ −1 μI density-independent loss of soil nutrients d 0.01‡ −1 μD density-independent loss of detritus d 0.1‡ −1 μP density-independent loss of plants d 0.01‡ −1 μV density-independent loss of detritivores d 0.1‡ −1 μΗ density-independent loss of herbivores d 0.1‡ −1 μX density-independent loss of predators d 0.1‡ −1 μΜ density-independent loss of midges d 0.5‡ 2 −1 −1 mP density-dependent loss of plants m gN d 0.024§ 2 −1 −1 mV density-dependent loss of detritivores m gN d 2.36§ 2 −1 −1 mH density-dependent loss of herbivores m gN d 0.1‡ 2 −1 −1 mX density-dependent loss of predators m gN d 0.1‡ lx proportion mortality of x lost from system dimensionless 0.1‡ 2 −1 −1 aI uptake rate of soil nutrients by plants m gN d 0.0078§ 2 −1 −1 aD uptake rate of detritus by detritivores m gN d 0.032§ 2 −1 −1 aP uptake rate of plants by herbivores m gN d 0.012§ 2 −1 −1 aX uptake rate of detritivores, herbivores, and midges by predators m gN d 0.125§ q predator exploitation of midges dimensionless 8 × 10−3 to 8‡ hI handling time of soil nutrients by plants d 0.51‡ hD handling time of detritus by detritivores d 2.1‡ hP handling time of plants by herbivores d 2.1‡ hX handling time of herbivores and detritivores by predators d 2.7‡ hM handling time of midges by predators d 1.3 to 5.3‡ Notes: Density-dependent and density-independent losses are the “natural” values (i.e., the values for those pools at equilibrium). The x in lx represents all pools, as they have the same value. †Value is based on empirical approximation from the literature. ‡Values on a comparable scale to the other parameters. §Value was solved from the equilibrium of the ODEs. For more details, see the Parameter values subsection in the methods.