Skip to main content
Log in

How to analyze long-term insect population dynamics under climate change: 50-year data of three insect pests in paddy fields

  • Original Article
  • Special feature: Global climate change and the dynamics of biological communities
  • Published:
Population Ecology

Abstract

We can precisely predict the future dynamics of populations only if we know the underlying mechanism of population dynamics. Long-term data are important for the elucidation of such mechanisms. In this article we analyze the 50-year dynamics of annual light-trap catches of three insect pest species living in paddy fields in Japan: the rice stem borer, Chilo suppressalis (Walker) (Lepidoptera: Pyralidae); the green rice leafhopper, Nephotettix cincticeps (Uhler) (Hemiptera: Deltocephalidae); and the small brown planthopper, Laodelphax striatellus (Fallén) (Hemiptera: Delphacidae). We separate the long-term dynamics into two components by using locally weighted scatterplot smoothing: (1) the underlying dynamics of populations, and (2) the influence of the past changes in the environment. The former component is analyzed by response surface analysis and vector autoregression to evaluate the nonlinearity of density-dependence and the inter-specific influence of density, respectively. On the basis of these analyses, we perform the state-space model analyses. The state-space model selected by Akaike’s information criterion indicates that the observed number of light-trap catches of C. suppressalis and N. cincticeps in summer increases with increasing temperatures in the previous winter. It also indicates that the influence of temperature is not carried over to the next year. We utilize the selected model to predict the impact of global warming on these species, by substituting the temperature predicted by a general circulation model.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  • Akaike H (1973) Information theory and an extension of the maximum likelihood principle. In: Petrov BN, Csadki F (eds) Second international symposium on information theory. Akademiai Kiado, Budapest, pp 267–281

    Google Scholar 

  • Alyokhin A, Drummond FA, Sewell G (2005) Density-dependent regulation in populations of potato-colonizing aphids. Popul Ecol 47:257–266

    Google Scholar 

  • Andrewartha HG, Birch LC (1954) The distribution and abundance of animals. Chicago Press, Chicago, IL

    Google Scholar 

  • Berryman AA (2004) Limiting factors and population regulation. Oikos 105:667–670

    Article  Google Scholar 

  • Berryman AA, Arce ML, Hawkins BA (2002) Population regulation, emergent properties, and a requiem for density dependence. Oikos 99:600–606

    Article  Google Scholar 

  • Binns MR, Bostanian NJ (1990) Robustness in empirically based binomial decision rules for integrated pest management. J Econ Entomol 83:420–427

    Google Scholar 

  • Bjørnstad ON, Falck W, Stenseth NC (1995) A geographic gradient in small rodent density fluctuations: a statistical modelling approach. P Roy Soc B-Biol Sci 262:127–133

    Google Scholar 

  • Box GEP, Cox DR (1964) An analysis of transformations. J Roy Stat Soc B 26:211–252

    Google Scholar 

  • Box GEP, Jenkins GM (1970) Time series analysis: forecasting and control. Holden-Day, CA

    Google Scholar 

  • Brockwell PJ, Davis RA (2002) Introduction to time series and forecasting, 2nd edn. Springer, Berlin Heidelberg New York

    Google Scholar 

  • Bulmer MG (1975) The statistical analysis of density dependence. Biometrics 31:901–911

    PubMed  Google Scholar 

  • Burnham KP, Anderson DR (2002) Model selection and multimodel inference: a practical information theoretic approach, 2nd edn. Springer, Berlin Heidelberg New York

    Google Scholar 

  • Calder C, Lavine M, Müller P, Clark JS (2003) Incorporating multiple sources of stochasticity into dynamic population models. Ecology 84:1395–1402

    Google Scholar 

  • Chambers JM, Hastie TJ (eds) (1991) Statistical models in S. CRC, Boca Raton, FL

  • Clark JS, Bjørnstad ON (2004) Population time series: process variability, observation errors, missing values, lags, and hidden states. Ecology 85:3140–3150

    Google Scholar 

  • Cleveland WS (1979) Robust locally weighted regression and smoothing scatterplots. J Am Stat Assoc 74:829–836

    Google Scholar 

  • Craven P, Wahba G (1979) Smoothing noisy data with spline functions: estimating the correct degree of smoothing by the method of generalized cross-validation. Numer Math 31:377–403

    Article  Google Scholar 

  • Davis AJ, Jenkinson LS, Lawton JH, Shorrocks B, Wood S (1995) Global warming, population dynamics and community structure in a model insect assemblage. In: Harrington R, Stork NE (eds) Insects in a changing environment. Academic Press, London, pp 431–439

    Google Scholar 

  • Davis AJ, Lawton JH, Shorrocks B, Jenkinson LS (1998a) Individualistic species responses invalidate simple physiological models of community dynamics under global environmental change. J Anim Ecol 67:600–612

    Article  Google Scholar 

  • Davis AJ, Jenkinson LS, Lawton JH, Shorrocks B, Wood S (1998b) Making mistakes when predicting shifts in species range in response to global warming. Nature 391:783–786

    Article  PubMed  Google Scholar 

  • Den Boer PJ (1968) Spreading of risk and stabilization of animal numbers. Acta Biotheor 18:165–194

    Article  PubMed  Google Scholar 

  • Den Boer PJ, Reddingius J (1996) Regulation and stabilization paradigms in population ecology. Chapman, London

    Google Scholar 

  • deValpine P, Hastings A (2002) Fitting population models incorporating process noise and observation error. Ecol Monogr 72:57–76

    Google Scholar 

  • Dickey DA, Fuller WA (1979) Distribution of the estimators for autoregressive time series with a unit root. J Am Stat Assoc 74:427–431

    Google Scholar 

  • Durbin J, Koopman SJ (2001) Time series analysis by state space models. Oxford University Press, Oxford

    Google Scholar 

  • Ekbom BS (1987) Incidence counts for estimating densities of Rhopalosiphum padi (Homoptera: Aphididae). J Econ Entomol 80:933–935

    Google Scholar 

  • Ellner S, Turchin P (1995) Chaos in a noisy world: new methods and evidence from time-series analysis. Am Nat 145:343–375

    Article  Google Scholar 

  • Elton C (1949) Population interspersion: an essay on animal community patterns. J Ecol 37:1–23

    Google Scholar 

  • Elton CS (1958) The ecology of invasions by animals and plants. Methuen, London

    Google Scholar 

  • Feng MG, Nowierski RM (1992) Spatial distribution and sampling plans for four species of cereal aphids (Homoptera: Aphididae) infesting spring wheat in southwestern Idaho. J Econ Entomol 85:830–837

    Google Scholar 

  • Feng MG, Nowierski RM, Zeng Z (1993) Binomial sampling plans for the English grain aphid, Sitobion avenae (Homoptera: Aphididae) based on an empirical relationship between mean density and proportion of tillers with different tally thresholds of aphids. B Entomol Res 83:187–196

    Google Scholar 

  • Fewster RM, Buckland ST, Siriwardena GM, Baillie SR, Wilson JD (2000) Analysis of population trends for farmland birds using generalized additive models. Ecology 81:1970–1984

    Google Scholar 

  • Fukaya M (1950a) On some fundamental problems for predicting the occurrence of the rice borer (in Japanese with English summary). Jpn J Appl Zool 16:25–31

    Google Scholar 

  • Fukaya M (1950b) Rice stem borer (in Japanese). Hoppou Shuppan, Tokyo

    Google Scholar 

  • Fukaya M, Kono M, Nakatsuka K (1954) On the factors concerning the occurrence of the rice stem borer in the first generation. 1 (in Japanese with English summary). Jpn J Appl Zool 19:101–111

    Google Scholar 

  • Fukaya M, Nakatsuka K (1956) Forecasting of the rice stem borer occurrence (in Japanese). Japan Plant Protection Association, Tokyo

    Google Scholar 

  • Fuller WA (1987) Measurement error models. Wiley, NY

    Google Scholar 

  • Gerrard DJ, Chiang HC (1970) Density estimation of corn rootworm egg populations based upon frequency of occurrence. Ecology 51:237–245

    Google Scholar 

  • Greene WH (2000) Econometric analysis, 4th edn. Prentice-Hall, London

    Google Scholar 

  • Greene WH (2002) LIMDEP 8.0. Econometric modeling guide. Econometric software, Plainview

    Google Scholar 

  • Hall BH, Cummins C (2005) TSP 5.0 reference manual. TSP international, Palo Alto, CA

    Google Scholar 

  • Harvey AC (1981) Time series analysis. Allan, Oxford

    Google Scholar 

  • Harvey AC (1989) Forecasting, structural time series models and the Kalman filter. Cambridge University Press, Cambridge

    Google Scholar 

  • Hastings A, Hom CL, Ellner S, Turchin P, Godfray HCJ (1993) Chaos in ecology: is mother nature a strange attracter? Annu Rev Ecol Syst 24:1–33

    Google Scholar 

  • Hayashi F (2000) Econometrics. Princeton University Press, Princeton, NJ

    Google Scholar 

  • Hayashi T, Koshimizu Y (1988) Computer program BLASTAM for forecasting occurrence of rice leaf blast (in Japanese with English summary). Bull Tohoku Nat Agric Exp Stn 78:123–138

    Google Scholar 

  • Hirano K, Fujii K (1995) The outbreak mechanisms of the green rice leafhopper, Nephotettix cincticeps Uhler, in northern Japan. Res Popul Ecol 37:259–267

    Google Scholar 

  • Hixon MA, Pacala SW, Sandin SA (2002) Population regulation: historical context and contemporary challenges of open vs. closed systems. Ecology 83:1490–1508

    Google Scholar 

  • Hokyo N (1972) Studies on the life history and the population dynamics of the green rice leafhopper, Nephotettix cincticeps Uhler (in Japanese with English summary). Bull Kyushu Agric Exp Stn 16:283–382

    Google Scholar 

  • Ibaraki Prefecture (1957–2001) Annual report of the survey for forecasting crop pests. Ibaraki Prefecture, Japan

    Google Scholar 

  • Imai F (1976) A forecasting method concerning occurrence number of the green rice leafhopper, Nephotettix cincticeps Uhler, in the western part of Toyama prefecture (in Japanese). Proc Assoc Plant Prot Hokuriku 24:22–24

    Google Scholar 

  • IPCC (2000) Summary for policymakers, emissions scenarios. 2000, Special report of the intergovernmental panel on climate change. Intergovernmental panel on climate change, Geneva <http://www.ipcc.ch/pub/reports.htm>

  • IPCC (2001) Climate change 2001: the scientific basis, Contribution of working group I to the third assessment report of the intergovernmental panel on climate change (IPCC). Cambridge University Press, Cambridge <http://www.grida.no/climate/ipcc_tar/>

  • Ishikura H (1950a) Short review on the studies on the statistical prediction of the date and number of rice borer moth appearance (in Japanese with English summary). Jpn J Appl Zool 16:32–40

    Google Scholar 

  • Ishikura H (1950b) Forecasting of insect pests of agricultural crops (in Japanese). Tokyo

  • Ishikura H (1951) Outbreak of insect pest and its prediction (in Japanese). Agric Hortic 26:109–113

    Google Scholar 

  • Itô Y (1968) Are insect populations cyclical? (in Japanese). Kagaku 38:39–45

    Google Scholar 

  • Ives AR, Dennis B, Cottingham KL, Carpenter SR (2003) Estimating community stability and ecological interactions from time-series data. Ecol Monogr 73:301–330

    Google Scholar 

  • Iwao S (1968) A new regression method for analyzing the aggregation pattern of animal populations. Res Popul Ecol 10:1–20

    Google Scholar 

  • Johraku T (1976) Forecasting the abundance of Nephotettix cincticeps (Uhler) and Sogatella furcifera (Horvath) (in Japanese). Agric Hortic 51:1367–1372

    Google Scholar 

  • Johraku T (1984) Local difference in the population dynamics of Nephotettix cincticeps (Uhler): comparison between Hokuriku and Kyushu districts (in Japanese). Agric Hortic 59:62–66

    Google Scholar 

  • Johraku T, Kato S (1974) Effect of the snow to the survival of green rice leafhopper, Nephotettix cincticeps Uhler (in Japanese). Proc Assoc Plant Prot Hokuriku 22:30–31

    Google Scholar 

  • Johraku T, Kato S, Wakamatsu T (1976) Relationship between the early generation and the peak one concerning the abundance of green rice leafhopper, Nephotettix cincticeps Uhler (in Japanese). Proc Assoc Plant Prot Hokuriku 24:19–21

    Google Scholar 

  • Johraku T, Sekiguchi W, Kato S, Naruse H, Imai F, Wakamatsu T (1983) Fluctuation of population of the green rice leafhopper, Nephotettix cincticeps Uhler (Hemiptera: Deltocephalidae), in Hokuriku district (in Japanese with English summary). Jpn J Appl Entomol Z 27:146–151

    Google Scholar 

  • Kanno M (1962) On the distribution pattern of the rice stem borer in a paddy field (in Japanese with English summary). Jpn J Appl Entomol Z 6:85–89

    Google Scholar 

  • Kidokoro T (1979) Geographic trend in the annual population fluctuation of the green rice leafhopper, Nephotettix cincticeps Uhler (Hemiptera: Deltocephalidae). Appl Entomol Zool 14:127–129

    Google Scholar 

  • Kiritani K, Oho N (1961) Centrifugal progress of outbreaks of the rice stem borer, Chilo suppressalis. Jpn J Appl Entomol Z 6:61–68

    Google Scholar 

  • Kisimoto R, Yamada Y (1986) A planthopper-rice virus epidemiology model: Rice stripe and small brown planthopper, Laodelphax striatellus Fallen. In: McLean GD, Garrett RG, Ruesink WG (eds) Plant virus epidemics: monitoring, modelling and predicting outbreaks. Academic Press, Sydney, pp 327–344

    Google Scholar 

  • Kisimoto R, Yamada Y (1998) Present status of controlling rice stripe virus. In: Hadidi A, Khetarpal RK, Koganezawa H (eds) Plant virus disease control. APS Press, St. Paul, MN, pp 470–483

    Google Scholar 

  • Kitagawa G (1987) Non-Gaussian state-space modeling of nonstationary time series. J Am Stat Assoc 82:1032–1063

    Google Scholar 

  • Kojima S, Emura K (1971) On the estimation method of the source of the first generation of rice stem borer, Chilo suppressalis. Proc Assoc Plant Prot Hokuriku 19:38–41

    Google Scholar 

  • Kono M, Ishikawa M (1955) Studies on the rice stem borer, Chilo suppressalis. 2. Correlation between the population density and the damage in the second generation (in Japanese with English summary). Bull Saitama Agric Exp Stn 13:17–25

    Google Scholar 

  • Kono T (1966) Changes in the proportion of infected insects in a vector population (in Japanese). Shokubutu Boeki (Plant Protection) 20:131–136

    Google Scholar 

  • Kono T, Sugino T (1958) On the estimation of the density of rice stems infested by the rice stem borer (in Japanese with an English summary). Jpn J Appl Entomol Z 2:184–188

    Google Scholar 

  • Kono T, Utida S, Yoshida T, Watanabe S (1952) Pattern of spatial distribution of the rice-stem borer, Chilo simplex, in a paddy field: pattern of the spatial distribution of insects, 2nd report. Res Popul Ecol 1:65–82

    Google Scholar 

  • Kuno E (1968) Studies on the population dynamics of rice leafhoppers in a paddy field (in Japanese with English summary). Bull Kyushu Agric Exp Stn 14:131–246

    Google Scholar 

  • Kuno E (1971) Sampling error as a misleading artifact in “key factor analysis”. Res Popul Ecol 13:28–45

    Google Scholar 

  • Kuno E (1986) Evaluation of statistical precision and design of efficient sampling for the population estimation based on frequency of occurrence. Res Popul Ecol 28:305–319

    Google Scholar 

  • Kurihara K (2004) Development of and utilization of unified climate scenario (in Japanese). Current status and future strategy for the research on climatic change, symposium proceedings, pp 17–18 <http://www8.cao.go.jp/cstp/project/envpt/progmeet/ccra/top.html>

  • MacKinnon JG (1994) Approximate asymptotic distribution function for unit-root and cointegration tests. J Bus Econ Stat 12:167–176

    Google Scholar 

  • Maddala GS (2001) Introduction to econometrics, 3rd edn. Wiley, New York

    Google Scholar 

  • Maelzer DA (1970) The regression of log Nt+1 on log N n as a test of density dependence: an exercise with computer-constructed density-independent populations. Ecology 51:810–822

    Google Scholar 

  • Matsuda H, Kaji K, Uno H, Hirakawa H, Saitoh T (1998) A management policy for sika deer based on sex-specific hunting. Res Popul Ecol 41:139–149

    Google Scholar 

  • Matsuda H, Uno H, Tamada K, Kaji K, Saitoh T, Hirakawa H, Kurumada T, Fujimoto T (2002) Harvest-based estimation of population size for Sika deer on Hakkaido Island, Japan. Wildlife Soc B 30:1160–1171

    Google Scholar 

  • Ministry of Agriculture Forestry and Fisheries (1970–1990) Crop statistics, vol 13–33 (in Japanese). Association of Agriculture and Forestry Statistics, Tokyo

  • Ministry of Agriculture Forestry and Fisheries (1970–1995) Statistical yearbook of ministry of agriculture forestry and fisheries Japan, vol 46–71 (in Japanese). Association of Agriculture and Forestry Statistics, Tokyo

  • Ministry of Agriculture Forestry and Fisheries (1986) Project standards for forecasting pests incidence (in Japanese). Ministry of Agriculture Forestry and Fisheries, Tokyo

  • Miyashita K (1955) Some considerations on the population fluctuation of the rice stem borer (in Japanese with English summary). Bull Natl Inst Agric Sci Ser C 5:99–109

    Google Scholar 

  • Miyashita K (1982) Ecology of rice stem borer (in Japanese). Private publication

  • Miyashita K, Itô Y (1961) Population fluctuations of the insect pests of rice plants. Misc Publ Natl Inst Agr Sci 5:1–6

    Google Scholar 

  • Murakami M, Suzuki K (1971) Fundamental study on forecasting of the small brown planthopper. II. Developmental rate of overwintering nymphs (in Japanese). Annu Rep Plant Prot Kanto-Tosan 18:79

    Google Scholar 

  • Muramatsu Y (1979) A system dynamic model for epidemic of rice stripe virus (in Japanese). Bull Shizuoka Agr Exp Stn 24:1–13

    Google Scholar 

  • Murray BG (1999) Can the population regulation controversy be buried and forgotten? Oikos 84:148–152

    Google Scholar 

  • Nachman G (1984) Estimates of mean population density and spatial distribution of Tetranychus urticae (Acarina: Tetranychidae) and Phytoseiulus persimilis (Acarina: Phytoseiidae) based upon the proportion of empty sampling units. J Appl Ecol 21:903–913

    Google Scholar 

  • Nicholson AJ (1954) An outline of the dynamics of animal populations. Aust J Zool 2:9–65

    Article  Google Scholar 

  • Nishimori M, Ishigooka Y, Yokozawa M, Toritani H (2005) Future climate change scenario in Asian region by using the output from the latest GCM experiments. Proceedings of the joint meeting of environmental engineering in agriculture 2005 (in press)

  • Nitta A, Naruse H (1985) Relationship between the damage caused by the rice stem borer, Chilo suppressalis Walker, and the yield of rice (in Japanese). Proc Assoc Plant Prot Hokuriku 33:48–53

    Google Scholar 

  • Nozato K, Kiritani K (1976) The role of egg parasites on the decrease of C. suppressalis (in Japanese). Shokubutu Boeki (Plant Protection) 30:259–263

    Google Scholar 

  • Nyrop JP, Agnello AM, Kovach J, Reissig WH (1989) Binomial sequential classification sampling plans for European red mite (Acari: Tetranychidae) with special reference to performance criteria. J Econ Entomol 82:482–490

    Google Scholar 

  • Oda S (1971) Influence of the depth and duration of snow cover on the overwintering of the green rice leafhopper, Nephotettix cincticeps Uhler (in Japanese). Proc Assoc Plant Prot Hokuriku 19:42–44

    Google Scholar 

  • Okamoto D, Sasaki M (1957) Evaluation method for the injury caused by the second generation population of the rice stem borer, Chilo suppressalis Walker (in Japanese). Shokubutsu Boeki (Plant Protection) 11:527–530

    Google Scholar 

  • Perry JN, Woiwod IP, Hanski I (1993) Using response-surface methodology to detect chaos in ecological time series. Oikos 68:329–339

    Google Scholar 

  • Pianka ER (1978) Evolutionary ecology, 2nd edn. Harper & Row, NY

    Google Scholar 

  • Pollard E, Lakhani KH, Rothery P (1987) The detection of density-dependence from a series of animal censuses. Ecology 68:2046–2055

    Google Scholar 

  • Quantitative Micro Software (2004) EViews 5 user’s guide, Irvine

  • Reddingius J (1971) Gambling for existence. a discussion of some theoretical problems in animal population ecology. Acta Biotheor 20:1–208

    Article  Google Scholar 

  • Reddingius J, Den Boer PJ (1970) Simulation experiment illustrating stabilization of animal numbers by spreading of risk. Oecologia 5:240–284

    Article  Google Scholar 

  • Roux O, Von Arx R, Baumgärtner J (1992) Estimating potato tuberworm (Lepidoptera: Gelechiidae) damage in stored potatoes in Tunisia. J Econ Entomol 85:2246–2250

    Google Scholar 

  • Royama T (1992) Analytical population dynamics. Chapman, London

    Google Scholar 

  • Royama T, Mackinnon WE, Kettela EG, Carter NE, Hartling LK (2005) Analysis of spruce budworm outbreak cycles in New Brunswick, Canada, since 1952. Ecology 86:1212–1224

    Google Scholar 

  • Saitoh T, Stenseth NC, Viljugrein H, Kittilsen MO (2003) Mechanisms of density dependence in fluctuating vole populations: deducing annual density dependence from seasonal processes. Popul Ecol 45:165–173

    Article  Google Scholar 

  • SAS Institute (1993) SAS/ETS user’s guide, version 6, second edition, Cary, NC

  • SAS Institute (1995) SAS/INSIGHT software: changes and enhancements, release 6.10. SAS Institute, Cary, NC

  • SAS Institute (2001) SAS/STAT® software: changes and enhancements, release 8.2. SAS Institute, Cary, NC

  • Schaalje GB, Butts RA, Lysyk TJ (1991) Simulation studies of binomial sampling: a new variance estimator and density predictor, with special reference to the Russian wheat aphid (Homoptera: Aphididae). J Econ Entomol 84:140–147

    Google Scholar 

  • Sekiguchi W, Naruse H, Imai F, Yuno I, Kawahara T, Wakamatsu T (1981) Factors concerning the prevalence of the green rice leafhopper, Nephotettix cincticeps Uhler. III. On the regional differences in distribution (in Japanese). Proc Assoc Plant Prot Hokuriku 29:19–23

    Google Scholar 

  • Selås V, Hogstad O, Andersson G, von Proschwitz T (2001) Population cycles of autumnal moth, Epirrita autumnata, in relation to birch mast seeding. Oecologia 129:213–219

    Article  Google Scholar 

  • Shenk TM, White GC, Burnham KP (1998) Sampling-variance effects on detecting density dependence from temporal trends in natural populations. Ecol Monogr 68:445–463

    Google Scholar 

  • Shephard N, Pitt MK (1997) Likelihood analysis of non-Gaussian measurement time series. Biometrika 84:653–667

    Article  Google Scholar 

  • Shinkai A (1962) Studies on insect transmission of rice virus diseases in Japan (in Japanese with English summary). Bull Natl Inst Agr Sci Ser C 14:1–112

    Google Scholar 

  • Solow AR (1998) On fitting a population model in the presence of measurement error. Ecology 79:1463–1466

    Google Scholar 

  • Solow AR (2001) Observation error and the detection of delayed density dependence. Ecology 82:3263–3264

    Google Scholar 

  • St. Amant JLS (1970) The detection of regulation in animal populations. Ecology 51:823–828

    Google Scholar 

  • Stata Corp. (2003) Stata time-series reference manual release 8. Stata Press, College Station

  • Stenseth NC, Viljugrein H, Saitoh T, Hansen TF, Kittilsen MO, Bølviken E, Glöckner F (2003) Seasonality, density dependence and population cycles in Hokkaido voles. P Natl Acad Sci USA 100:11478–11483

    Article  Google Scholar 

  • Taira M, Ichihashi H, Yamada H (1995) Computer simulation model in the small brown planthopper (Laodelphax striatellus Fallen) and rice stripe (in Japanese). Bull Gifu Agr Res C 8:1–22

    Google Scholar 

  • Takagi S, Sugino T, Nishino M (1958) Reconsideration of the injury caused by the second generation population of the rice stem borer, Chilo suppressalis Walker (in Japanese). Bull Shizuoka Agr Exp Stn 3:23–35

    Google Scholar 

  • Taylor LR, Woiwod IP, Perry JN (1978) The density-dependence of spatial behavior and the rarity of randomness. J Anim Ecol 47:383–406

    Google Scholar 

  • Taylor LR, Woiwod IP, Perry JN (1979) The negative binomial as a dynamic ecological model for aggregation, and the density dependence of k. J Anim Ecol 48:289–304

    Google Scholar 

  • Turchin P (1993) Chaos and stability in rodent population dynamics: evidence from non-linear time-series analysis. Oikos 68:167–172

    Google Scholar 

  • Turchin P (1995) Population regulation: old arguments and a new synthesis. In: Cappuccino N, Price PW (eds) Population dynamics: New approaches and synthesis. Academic Press, NY, pp 19–40

    Google Scholar 

  • Turchin P (1999) Population regulation: a synthetic view. Oikos 84:153–159

    Google Scholar 

  • Turchin P (2003) Complex population dynamics: a theoretical/empirical synthesis. Princeton Univ Press, Princeton

    Google Scholar 

  • Turchin P, Taylor AD (1992) Complex dynamics in ecological time series. Ecology 73:289–305

    Google Scholar 

  • Utida S (1941) Studies on experimental population of the azuki bean weevil, Callosobruchus chinensis (L.) II. The effect of population density on progeny populations under different conditions of atmospheric moisture. Mem Coll Agr Kyoto Imp Univ 49:1–20

    Google Scholar 

  • Utida S (1954) “Logistic” growth tendency in the population fluctuation of the rice stem borer. Studies on the fluctuation of population density observed in several insect pests (1st report) (in Japanese with English summary). Oyo-Kontyu 10:3–10

    Google Scholar 

  • Utida S (1957a) “Logistic” growth tendency in the population fluctuation of the rice stem borer. Studies on the fluctuation of population density observed in several insect pests (2nd report) (in Japanese with English summary). Botyu-Kagaku 22:57–63

    Google Scholar 

  • Utida S (1957b) Outbreaks of insect pests and the mechanism (in Japanese). Shokubutsu Boeki (Plant Protection) 11:55–59

    Google Scholar 

  • Utida S (1958) On fluctuations in population density of the rice stem borer Chilo suppressalis. Ecology 39:587–599

    Google Scholar 

  • Viljugrein H, Stenseth NC, Smith GW, Steinbakk GH (2005) Density dependence in North American ducks. Ecology 86:245–254

    Google Scholar 

  • Whistler D, White KJ, Wong SD, Bates D (2004) SHAZAM user’s reference manual Version 10. Northwest Econometrics, Vancouver

  • White TCR (2001) Opposing paradigms: regulation or limitation of populations? Oikos 93:148–152

    Article  Google Scholar 

  • White TCR (2004) Limitation of populations by weather-driven changes in food: a challenge to density-dependent regulation. Oikos 105:664–666

    Article  Google Scholar 

  • Williams CK, Ives AR, Applegate RD (2003) Population dynamics across geographical ranges: time-series analyses of three small game species. Ecology 84:2654–2667

    Google Scholar 

  • Yamamura K (1989) Effect of aggregation on the reproductive rate of populations. Res Popul Ecol 31:161–168

    Google Scholar 

  • Yamamura K (1998) Stabilization effects of spatial aggregation of vectors in plant disease systems. Res Popul Ecol 40:227–238

    Google Scholar 

  • Yamamura K (1999) Transformation using (x+0.5) to stabilize the variance of populations. Res Popul Ecol 41:229–234

    Article  Google Scholar 

  • Yamamura K (2000) Colony expansion model for describing the spatial distribution of populations. Popul Ecol 42:161–169

    Google Scholar 

  • Yamamura K (2002) Biodiversity and stability of herbivore populations: influences of the spatial sparseness of food plants. Popul Ecol 44:33–40

    Article  Google Scholar 

  • Yamamura K, Yokozawa M (2002) Prediction of a geographical shift in the prevalence of rice stripe virus disease transmitted by the small brown planthopper, Laodelphax striatellus (Fallén) (Hemiptera: Delphacidae), under global warming. Appl Entomol Zool 37:181–190

    Article  Google Scholar 

  • Yokozawa M, Goto S, Hayashi Y, Seino H (2003) Mesh climate change data for evaluating climate change impacts in Japan under gradually increasing atmospheric CO2 concentration. J Agr Meteorol 59:117–130

    Google Scholar 

  • Yukimoto S, Noda A (2002) Improvements of the meteorological research institute global ocean-atmosphere coupled GCM (MRI-CGCM2) and its climate sensitivity. CGER’s Supercomputer Activity Rep 10:37–44

    Google Scholar 

  • Yukimoto S, Noda A, Kitoh A, Sugi M, Kitamura Y, Hosaka M, Shibata K, Maeda S, Uchiyama T (2001) A new meteorological research institute coupled GCM (MRI-CGCM2)—Model climate and its variability. Pap Meteor Geophys 51:47–88

    Google Scholar 

  • Yuno I, Johraku T (1975) Occurrence of the first generation of rice stem borer in paddy fields using transplanting machine of young seedlings (in Japanese). Proc Assoc Plant Prot Hokuriku 23:32–34

    Google Scholar 

  • Yuno I, Johraku T (1976) Ovipositional preference and the survival rate of larvae of the first generation of rice stem borer, Chilo suppressalis Walker, using transplanting machine of young seedlings (in Japanese). Proc Assoc Plant Prot Hokuriku 24:16–18

    Google Scholar 

  • Zeng Z, Nowierski RM, Taper ML, Dennis B, Kemp WP (1998) Complex population dynamics in the real world: modeling the influence of time-varying parameters and time lags. Ecology 79:2193–2209

    Google Scholar 

Download references

Acknowledgements

We thank two anonymous referees for their comments that improved the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kohji Yamamura.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yamamura, K., Yokozawa, M., Nishimori, M. et al. How to analyze long-term insect population dynamics under climate change: 50-year data of three insect pests in paddy fields. Popul Ecol 48, 31–48 (2006). https://doi.org/10.1007/s10144-005-0239-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10144-005-0239-7

Keywords

Navigation