DesplandRosenbergSimpson2004

Reference

Despland, E., Rosenberg, J. and Simpson, S.J. (2004) Landscape structure and locust swarming: A satellite's eye view. Ecography, 27(3):381-391.

Abstract

Desert locust Schistocerca gregaria outbreaks consistently start in the same places, suggesting that certain landscapes are particularly favourable for outbreaking. Outbreaks are generated by multiplication, concentration and gregarisation of locust populations. Previous research has shown how small-scale vegetation patterns in desert ecosystems influence locust gregarisation; the present study examines the effects of large-scale landscape structure on locust multiplication and concentration. NOAA/AVHRR satellite imagery was used to relate abundance and spatial distribution of resources at the landscape scale to the historical record of locust outbreaks. Threshold NDV1 values were investigated to define what constitutes 'resource' for locusts. The first part of the study showed that abundance and spatial distribution of resource were not sufficient to distinguish between outbreak and non-outbreak areas in the western part of the locust distribution area. Thus, outbreak danger zones cannot be identified by landscape structure at this spatial resolution. The second analysis investigated spatio-temporal patterns of vegetation growth in two locust breeding areas with very different landscape structure; in both cases, the patterns differed significantly between outbreaking and non-outbreaking years. In Mauritania, a flat homogeneous desert landscape, both resource abundance and fragmentation were higher in outbreaking years. On the Red Sea coast, a fragmented landscape, resource spatial distribution was consistent between years, and abundance alone was a significant predictor of outbreaking. High resource abundance promotes locust multiplication, and contraction of resource into small patches increases locust concentration; these two mechanisms explain how landscape structure influences locust outbreaking.

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@ARTICLE { DesplandRosenbergSimpson2004,
    AUTHOR = { Despland, E. and Rosenberg, J. and Simpson, S.J. },
    TITLE = { Landscape structure and locust swarming: A satellite's eye view },
    JOURNAL = { Ecography },
    YEAR = { 2004 },
    VOLUME = { 27 },
    PAGES = { 381-391 },
    NUMBER = { 3 },
    NOTE = { 09067590 (ISSN) Cited By (since 1996): 7 Export Date: 27 April 2007 Source: Scopus CODEN: ECOGE Language of Original Document: English Correspondence Address: Despland, E.; Biology Dept.; Concordia Univ.; 7141 Sherbrooke St. W. Montreal, Que. H4B IR6, Canada; email: despland@alcor.concordia.ca References: (1994) Artemis: Africa Real Time Environmental Monitoring Information System, , Tech. Rep., FAO, Accra, Ghana; Barry, J., Celles, J., (1991) Flore de la Mauritanie, 2. , CRDP, Nice; Bryceson, K., Digitally processed satellite data as a tool in detection of potential Australian plague locust outbreak areas (1990) J. Environ. Manage., 30, pp. 191-208; Bryceson, K., Wright, D., An analysis of the 1984 locust plague in Australia using multitemporal Landsat multispectral data and a simulation model of locust (Chortoicetes terminifera) development (1986) Agricul. Ecosyst. Environ., 16, pp. 87-102; Cheke, R., Holt, J., Complex dynamics of desert locust plagues (1993) Ecol. Entomol., 18, pp. 109-115; Cheke, R., Holt, J., Chaos in desert locust plagues? (1996) Populations and Patterns in Ecology, pp. 42-45. , Walters, K. and Kidd, N. (eds). IPPP, Univ. of East Anglia; Collett, M., The spatial scales of desert locust gregarisation (1998) Proc. Natl. Acad. Sci. USA, 95, pp. 13052-13055; Cressman, K., Current methods of desert locust forecasting at FAO (1996) OEPP/EPPO Bull., 26, pp. 567-576; Despland, E., Fractal index captures role of vegetation clumping in locust swarming (2003) Funct. Ecol., 17, pp. 315-322; Despland, E., Simpson, S., Small-scale vegetation patterns in the parental environment influence the phase state of hatchlings of the desert locust (2000) Physiol. Entomol., 25, pp. 1-9; Despland, E., Collett, M., Simpson, S., Small-scale processes in desert locust swarm formation: How vegetation patterns influence gregarisation (2000) Oikos, 88, pp. 652-662; El-Hadi, M.O.T., (1996) Variabilite? des Biotopes a? l'Interface Plantes/Schistocerca Gregaria (Forska?l) (Orthoptera: Acrididae) en Mauritanie, , Ph.D. thesis. Univ. Paris-Sud. France; Ellis, P., Ashall, C., Field studies on diurnal behaviour, movement and aggregation in the desert locust (Schistocerca gregaria Forska?l) (1957) Anti-Locust Bull., 25; Haskell, P., The locust (1992) Biologist, 39, pp. 111-117; Hay, S., Remote-sensing and disease control: Past, present and future (1997) Trans. Roy. Soc. Trop. Med. Hyg., 91, pp. 105-106; Hielkema, J., Satellite environmental monitoring for migrant pest forecasting by FAO: The ARTEMIS system (1990) Philos. Trans. R. Soc. Lond. B, 328, pp. 705-717; Hielkema, J., Roffey, J., Tucker, C., Assessment of ecological conditions associated with the 1980/1981 desert locust plague upsurge in West Africa using environmental satellite data (1986) Int. J. Rem. Sens., 7, pp. 1609-1622; Hosmer, D., Lemeshow, S., (1989) Applied Logistic Regression, , Wiley; Huete, A., A soil adjusted index (SAVI) (1988) Rem. Sens. Environ., 25, pp. 295-309; James, M., Kalluri, S., The Pathfinder AVHRR land data set: An improved coarse resolution data set for terrestrial monitoring (1994) Int. J. Rem. Sens., 15, pp. 3347-3363; Joern, A., Gaines, S., Population dynamics and regulation in grasshoppers (1990) Biology of Grasshoppers, pp. 425-482. , Chapman, R. and Joern, A. (eds). Wiley; Justice, C., Analysis of the phenology of global vegetation using meteorologcial satellite data (1985) Int. J. Rem. Sens., 6, pp. 1271-1281; Kennedy, J., The behaviour of the desert locust (Schistoceraca gregaria (Forsk.)) (Orthoptera) in an outbreak centre (1939) Trans. R. Entomol. Soc. Lond., 89, pp. 385-542; Monod, T., Modes 'contracte?' et 'diffus' de la ve?ge?tation saharienne (1954) Biology of Deserts. Vol. 3. Symp. Inst. Biol. London, 3. , Cloudsley-Thompson, J. (ed.); Pedgley, D., (1981) Desert Locust Forecasting Manual, , Centre for Overseas Pest Research. London; Popov, G., (1997) Atlas of Desert Locust Breeding Habitats, , FAO, Rome; Popov, G., Duranton, J., Gigault, J., (1991) Etude Ecologique des Biotopes du Criquet Pe?lerin Schistocerca gregaria (Forska?l, 1775) en Afrique Nord-Occidentale. Mise en E?vidence et Description des Unite?s Territoriales E?cologiquement Homoge?nes, , Ministe?re de la Coope?ration et du De?veloppement: Paris/Commission des Communaute?s Europe?ennes: Bruxelles/FAO: Rome/CIRAD-PRIFAS: Montpellier; Pyper, B., Peterman, R., Comparison of methods to account for autocorrelation in correlation analyses of fish data (1998) Can. J. Fish. Aq. Sci., 55, pp. 2127-2140; Roffey, J., Popov, G., Environmental and behavioural processes in a desert locust outbreak (1968) Nature, 219, pp. 446-450; Rogers, D., Hay, S., Packer, M., Predicting the distribution of tsetse flies in West Africa using temporal Fourier processed meteorological satellite data (1996) Ann. Trop. Med. Parasitol., 90, pp. 225-241; Simpson, S., McCaffery, A., Ha?gele, B., A behavioural analysis of phase change in the desert locust (1999) Biol. Rev., 74, pp. 461-480; Steedman, A., (1990) Locust Handbook. 3rd Ed., , Natural Res. Inst. Chatham; Sugihara, G., From out of the blue (1995) Nature, 378, pp. 559-560; Todd, M., Washington, R., Cheke, R., Kniveton, D., Brown locust outbreaks and climate variability in southern Africa (2002) J. Appl. Ecol., 39, pp. 31-42; Tucker, C., Hielkema, J., Roffey, J., The potential of satellite remote sensing of ecological conditions for survey and forecasting desert locust activity (1985) Int. J. Rem. Sens., 6, pp. 127-138; Uvarov, B., (1977) Grasshoppers and Locusts, 2. , C.O.P.R. London; Waloff, Z., The upsurges and recessions of the desert locust plague: An historical survey (1966) Anti-Locust Mem., 8, pp. 1-111; White, F., (1981) UNESCO/AETFAT/UNSO Vegetation Map of Africa, , Oxford Univ. Press; White, F., (1983) The Vegetation of Africa: A Descriptive Memoir to Accompany the UNESCO/AETFAT/UNSO Vegetation Map of Africa, , UNESCO, Paris. },
    ABSTRACT = { Desert locust Schistocerca gregaria outbreaks consistently start in the same places, suggesting that certain landscapes are particularly favourable for outbreaking. Outbreaks are generated by multiplication, concentration and gregarisation of locust populations. Previous research has shown how small-scale vegetation patterns in desert ecosystems influence locust gregarisation; the present study examines the effects of large-scale landscape structure on locust multiplication and concentration. NOAA/AVHRR satellite imagery was used to relate abundance and spatial distribution of resources at the landscape scale to the historical record of locust outbreaks. Threshold NDV1 values were investigated to define what constitutes 'resource' for locusts. The first part of the study showed that abundance and spatial distribution of resource were not sufficient to distinguish between outbreak and non-outbreak areas in the western part of the locust distribution area. Thus, outbreak danger zones cannot be identified by landscape structure at this spatial resolution. The second analysis investigated spatio-temporal patterns of vegetation growth in two locust breeding areas with very different landscape structure; in both cases, the patterns differed significantly between outbreaking and non-outbreaking years. In Mauritania, a flat homogeneous desert landscape, both resource abundance and fragmentation were higher in outbreaking years. On the Red Sea coast, a fragmented landscape, resource spatial distribution was consistent between years, and abundance alone was a significant predictor of outbreaking. High resource abundance promotes locust multiplication, and contraction of resource into small patches increases locust concentration; these two mechanisms explain how landscape structure influences locust outbreaking. },
    KEYWORDS = { Schistocerca gregaria },
    OWNER = { racinep },
    TIMESTAMP = { 2007.09.07 },
}

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