Monitoring the spatio-temporal dynamics of geometrid moth outbreaks in birch forest using MODIS-NDVI data

Remote Sensing of Environment

Volumn 113, Issue 9, 2009, Pages 1939-1947

  Jepsen, J U ^a,c   Hagen, S B ^a   Hogda K A ^b   Ims, R A ^a   Karlsen, S R ^b   Tommervik H ^c   Yoccoz, N G ^a  

^a UNIVERSITY OF TROMSØ   (Norway)

^b NORUT IT   (Norway)

^c NORWEGIAN INSTITUTE FOR NATURE RESEARCH   (Norway)

Author keywords

Birch forest; Defoliation; Fennoscandia; Geometrids; MODIS; NDVI

Indexed keywords

BIRCH FOREST; DEFOLIATION; FENNOSCANDIA; GEOMETRIDS; MODIS; NDVI;

ANNEALING; ATMOSPHERICS; POPULATION STATISTICS; TIME SERIES;

SPECTROMETERS;

DECIDUOUS FOREST; DEFOLIATION; ENVIRONMENTAL MONITORING; MODEL VALIDATION; MODIS; MOTH; NDVI; PEST OUTBREAK; SPATIAL VARIATION; TEMPORAL VARIATION; WARMING;

EURASIA; FENNOSCANDIA;

GEOMETRIDAE; LEPIDOPTERA;

EID: 67651124810     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2009.05.006     Document Type: Article

References (65)

1. Baltensweiler W., and Rubli D. Dispersal-An important driving force of the cyclic population dynamics of the larch bud moth. Forest Snow and Landscape Research 74 (1999) 3-153
2. Battisti A., Stastny M., Netherer S., Robinet C., Schopf A., Roques A., et al. Expansion of geographic range in the pine processionary moth caused by increased winter temperatures. Ecological Applications 15 (2005) 2084-2096
3. Bjørnstad O.N., Ims R.A., and Lambin X. Spatial population dynamics: Analyzing patterns and processes of population synchrony. Trends in Ecology & Evolution 14 (1999) 427-432
4. Bjørnstad O.N., Peltonen M., Liebhold A.M., and Baltensweiler W. Waves of larch budmoth outbreaks in the European Alps. Science 298 (2002) 1020-1023
5. Bylund H. Climate and the population dynamics of two insect outbreak species in the North. Ecological Bulletins 47 (1999) 54-62
6. Congalton R.G. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment 37 (1991) 35-46
7. Cooke B.J., and Roland J. Spatial analysis of large-scale patterns of forest tent caterpillar outbreaks. Ecoscience 7 (2000) 410-422
8. Cox D.R. 2 further applications of a model for binary regression. Biometrika 45 (1958) 562-565
9. Dale V.H., Joyce L.A., McNulty S., Neilson R.P., Ayres M.P., Flannigan M.D., et al. Climate change and forest disturbances. Bioscience 51 (2001) 723-734
10. de Beurs K.M., and Townsend P.A. Estimating the effect of gypsy moth defoliation using MODIS. Remote Sensing of Environment 112 (2008) 3983-3990
11. Fleming R.A., and Candau J.N. Influences of climatic change on some ecological processes of an insect outbreak system in Canada's boreal forests and the implications for biodiversity. Environmental Monitoring and Assessment 49 (1998) 235-249
12. Fraser R.H., Abuelgasim A., and Latifovic R. A method for detecting large-scale forest cover change using coarse spatial resolution imagery. Remote Sensing of Environment 95 (2005) 414-427
13. Fraser R.H., and Latifovic R. Mapping insect-induced tree defoliation and mortality using coarse spatial resolution satellite imagery. International Journal of Remote Sensing 26 (2005) 193-200
14. Goodwin N.R., Coops N.C., Wulder M.A., Gillanders S., Schroeder T.A., and Nelson T. Estimation of insect infestation dynamics using a temporal sequence of Landsat data. Remote Sensing of Environment 112 (2008) 3680-3689
15. Guisan A., Theurillat J.P., and Kienast F. Predicting the potential distribution of plant species in an Alpine environment. Journal of Vegetation Science 9 (1998) 65-74
16. Hagen S.B., Jepsen J.U., Ims R.A., and Yoccoz N. Shifting altitudinal distribution of outbreak zones of winter moth (Operophtera brumata) in sub-arctic birch forest: A response to recent climate warming?. Ecography 30 (2007) 299-307
17. Hagen S.B., Sørlibraten O., Ims R.A., and Yoccoz N.G. Density-dependent melanism in winter moth larvae (Lepidoptera: Geometridae): A countermeasure against parasitoids?. Environmental Entomology 35 (2006) 1249-1253
18. Hämet-Ahti L. Zonation of the mountain birch forests in northernmost Fennoscandia. Annales Botanici Societatis Zoologicae Botanicae Fennica 34 (1963) 1-127
19. Hogstad O. Population fluctuations of Epirrita autumnata (Bkh.) and Operopthera brumata (L.) (Lep. Geometridae) during 25 years and habitat distribution of their larvae during a mass outbreak in a subalpine birch forest in Central Norway. Fauna Norvegica. Ser. B, Norwegian Journal of Entomology 44 (1997) 1-10
20. Huete A., Didan K., Miura T., Rodriguez E.P., Gao X., and Ferreira L.G. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment 83 (2002) 195-213
21. Huete A., Justice C., and van Leeuwen W. MODIS vegetation index (MOD 13) algorithm theoretical basis document (ATBD) Version 3.0. In (p. 2) (1999), EOS Project Office, NASA Goddard Space Flight Center, Greenbelt, MD
22. Hurley A., Watts D., Burke B., and Richards C. Identifying gypsy moth defoliation in Ohio using Landsat data. Environmental & Engineering Geoscience 10 (2004) 321-328
23. Jepsen J.U., Hagen S.B., Ims R.A., and Yoccoz N.G. Climate change and outbreaks of the geometrids Operophtera brumata and Epirrita autumnata in sub-arctic birch forest: Evidence of a recent outbreak range expansion. Journal of Animal Ecology 77 (2008) 257-264
24. Johansen B., and Karlsen S.R. Monitoring vegetation changes on Finnmarksvidda, Northern Norway, using Landsat MSS and Landsat TM/ETM+ satellite images. Phytocoenologia 35 (2005) 969-984
25. Johansen B., Karlsen S.R., and Elvebakk A. Vegetation Mapping of northern Fennoscandia, including the Kola Peninsula, using Landsat TM/ETM+ Data. 9th Bi-Annual Circumpolar Remote Sensing Symposium (p. 28). Seward, Alaska, USA (2006)
26. Johnson D.M., Bjørnstad O.N., and Liebhold A.M. Landscape geometry and travelling waves in the larch budmoth. Ecology Letters 7 (2004) 967-974
27. Kaitaniemi P., Ruohomäki K., and Haukioja E. Consequences of defoliation on phenological interaction between Epirrita autumnata and its host plant, mountain birch. Functional Ecology 11 (1997) 199-208
28. Karlsen S.R., Tolvanen A., Kubin E., Poikolainen J., Hogda K.A., Johansen B., et al. MODIS-NDVI-based mapping of the length of the growing season in northern Fennoscandia. International Journal of Applied Earth Observation and Geoinformation 10 (2008) 253-266
29. Kharuk V.I., Ranson K.J., and Fedotova E.V. Spatial pattern of Siberian silkmoth outbreak and taiga mortality. Scandinavian Journal of Forest Research 22 (2007) 531-536
30. Kharuk V.I., Ranson K.J., Kozuhovskaya A.G., Kondakov Y.P., and Pestunov I.A. NOAA/AVHRR satellite detection of Siberian silkmoth outbreaks in eastern Siberia. International Journal of Remote Sensing 25 (2004) 5543-5555
31. Kharuk V.I., Ranson K.J., Kuz'michev V.V., and Im S. Landsat-based analysis of insect outbreaks in southern Siberia. Canadian Journal of Remote Sensing 29 (2003) 286-297
32. Klemola T., Andersson T., and Ruohomaki K. Fecundity of the autumnal moth depends on pooled geometrid abundance without a time lag: Implications for cyclic population dynamics. Journal of Animal Ecology 77 (2008) 597-604
33. Klemola T., Huitu O., and Ruohomäki K. Geographically partitioned spatial synchrony among cyclic moth populations. Oikos 114 (2006) 349-359
34. Koenig W.D. Spatial autocorrelation of ecological phenomena. Trends in Ecology & Evolution 14 (1999) 22-26
35. Landis J.R., and Koch G.G. Measurement of observer agreement for categorical data. Biometrics 33 (1977) 159-174
36. Lehtonen J., and Heikkinen R.K. On the recovery of mountain birch after Epirrita damage in Finnish Lapland, with a particular emphasis on reindeer grazing. Ecoscience 2 (1995) 349-356
37. Liebhold A.M., Johnson D.N., and Bjørnstad O.N. Geographic variation in density-dependent dynamics impacts the synchronizing effect of dispersal and regional stochasticity. Population Ecology 48 (2006) 131-138
38. Logan J.A., Regniere J., Gray D.R., and Munson A.S. Risk assessment in the face of a changing environment: Gypsy moth and climate change in Utah. Ecological Applications 17 (2007) 101-117
39. Mjaaseth R.R., Hagen S.B., Yoccoz N.G., and Ims R.A. Phenology and abundance in relation to climatic variation in a sub-arctic insect herbivore-mountain birch system. Oecologia 145 (2005) 53-65
40. Neuvonen S., Niemelä P., and Virtanen T. Climatic change and insect outbreaks in boreal forest: The role of winter temperatures. Ecological Bulletins 47 (1999) 63-67
41. Nichols J.D., and Williams B.K. Monitoring for conservation. Trends in Ecology & Evolution 21 (2006) 668-673
42. Nilssen A.C., Tenow O., and Bylund H. Waves and synchrony in Epirrita autumnata/Operopthera brumata outbreaks. II. Sunspot activity cannot explain cyclic outbreaks. Journal of Animal Ecology 76 (2007) 269-275
43. Parmesan C., Ryrholm N., Stefanescu C., Hill J.K., Thomas C.D., Descimon H., et al. Poleward shifts in geographical ranges of butterfly species associated with regional warming. Nature 399 (1999) 579-583
44. Pearce J., and Ferrier S. Evaluating the predictive performance of habitat models developed using logistic regression. Ecological Modelling 133 (2000) 225-245
45. Peltonen M., Liebhold A.M., Bjørnstad O.N., and Williams D.W. Spatial synchrony in forest insect outbreaks: Roles of regional stochasticity and dispersal. Ecology 83 (2002) 3120-3129
46. Radeloff V.C., Mladenoff D.J., and Boyce M.S. Detecting jack pine budworm defoliation using spectral mixture analysis: Separating effects from determinants. Remote Sensing of Environment 69 (1999) 156-169
47. Ranson K.J., Kovacs K., Sun G., and Kharuk V.I. Disturbance recognition in the boreal forest using radar and Landsat-7. Canadian Journal of Remote Sensing 29 (2003) 271-285
48. Ranta E., Kaitala V., and Lundberg P. Population variability in space and time: The dynamics of synchronous population fluctuations. Oikos 83 (1998) 376-382
49. Ruohomäki K., Tanhuanpää M., Ayres M.P., Kaitaniemi P., Tammaru T., and Haukioja E. Causes of cyclicity of Epirrita autumnata (Lepidoptera, Geometridae): Grandiose theory and tedious practice. Population Ecology 42 (2000) 211-223
50. Skakun R.S., Wulder M.A., and Franklin S.E. Sensitivity of the thematic mapper enhanced wetness difference index to detect mountain pine beetle red-attack damage. Remote Sensing of Environment 86 (2003) 433-443
51. Tenow O. The outbreaks of Oporinia autumnata Bkh. and Operopthera spp. (Lep., Geometridae) in the Scandinavian mountain chain and Northern Finland 1862-1968. Zoologiska Bidrag från Uppsala Suppl. 2 (1972) 1-107
52. Tenow O., and Bylund H. Recovery of a Betula pubescens forest in northern Sweden after severe defoliation by Epirrita autumnata. Journal of Vegetation Science 11 (2000) 855-862
53. Tenow O., Nilssen A.C., Bylund H., and Hogstad O. Waves and synchrony in Epirrita autumnata/Operopthera brumata outbreaks. I. Lagged synchrony: Regionally, locally and among species. Journal of Animal Ecology 76 (2007) 258-268
54. Tenow O., Nilssen A.C., Holmgren B., and Elverum F. An insect (Argyresthia retinella, Lep., Yponomeutidae) outbreak in northern birch forests, released by climatic changes?. Journal of Applied Ecology 36 (1999) 111-122
55. Tømmervik H., Høgda K.A., and Karlsen S.R. Using remote sensing to detect caterpillar outbreaks in mountain birch forests - A new approach. In: Wielgolaski F.E. (Ed). Mountain birch forest ecosystems (2001), UNESCO, Paris 241-249
56. Townsend P.A., Eshleman K.N., and Welcker C. Remote sensing of gypsy moth defoliation to assess variations in stream nitrogen concentrations. Ecological Applications 14 (2004) 504-516
57. Väre H. Moutain birch taxonomy and floristics of moutain birch woodlands. In: Wielgolaski F.E. (Ed). Mountain birch forest ecosystems (2001), UNESCO, Paris 35-46
58. Vermote E.F., El Saleous N.Z., and Justice C.O. Atmospheric correction of MODIS data in the visible to middle infrared: First results. Remote Sensing of Environment 83 (2002) 97-111
59. Virtanen T., Neuvonen S., and Nikula A. Modelling topoclimatic patterns of egg mortality of Epirrita autumnata (Lepidoptera: Geometridae) with a Geographical Information System: Predictions for current climate and warmer climate scenarios. Journal of Applied Ecology 35 (1998) 311-322
60. Volney W.J.A., and Fleming R.A. Climate change and impacts of boreal forest insects. Agriculture Ecosystems and Environment 82 (2000) 283-294
61. Williams D.W., Fuester R.W., Metterhouse W.W., Balaam R.J., Bullock R.H., and Chianese R.J. Oak defoliation and population density relationships for the gypsy moth (lepidoptera, lymantriidae). Journal of Economic Entomology 84 (1991) 1508-1514
62. Williams D.W., and Liebhold A.M. Herbivorous insects and global change: Potential changes in the spatial distribution of forest defoliator outbreaks. Journal of Biogeography 22 (1995) 665-671
63. Wulder M.A., Dymond C.C., White J.C., Leckie D.G., and Carroll A.L. Surveying mountain pine beetle damage of forests: A review of remote sensing opportunities. Forest Ecology and Management 221 (2006) 27-41
64. Wulder M.A., White J.C., Bentz B., Alvarez M.F., and Coops N.C. Estimating the probability of mountain pine beetle red-attack damage. Remote Sensing of Environment 101 (2006) 150-166
65. Yoccoz N.G., Nichols J.D., and Boulinier T. Monitoring of biological diversity in space and time. Trends in Ecology & Evolution 16 (2001) 446-453