Remotely-sensed land use patterns and the presence of Anopheles larvae (Diptera: Culicidae) in Sukabumi, West Java, Indonesia

ABSTRACT Land use patterns and the occurrence of Anopheles species larvae were studied in Sukabumi District, West Java, Indonesia, from October 2004 to September 2005. Two land use maps derived using remote sensing were used. One map derived from Quickbird satellite images of 150 km2 of the Simpenan and Ciemas subdistricts (106° 27′53″–106° 38′38″ E and 6° 59′59″–7° 8′46″ S) in Sukabumi and one using ASTER images covering 4,000 km2 of Sukabumi District from 106° 22′15″–107° 4′1″ E and 6° 42′50″–7° 26′13″ S. There was a total of 11 Anopheles spp. collected from 209 sampling locations in the area covered by the Quickbird image and a total of 15 Anopheles spp. collected from 1,600 sampling locations in the area covered by the ASTER map. For the area covered by the land use maps, ten species were found to have statistically positive relationships between land use class and species presence: Anopheles aconitus, An. annularis, An. barbirostris. An. flavirostris, An. insulaeflorum, An. kochi, An. maculatus, An. subpictus, An. sundaicus, and An. vagus. Quickbird and ASTER satellite images both produced land maps that were adequate for predicting species presence in an area. The land use classes associated with malaria vector breeding were rice paddy (An. aconitus, An. subpictus), plantation located near or adjacent to human settlements (An. maculatus), bush/shrub (An. aconitus, An. maculatus, An. sundaicus), bare land, and water body land use on the coast located ≤ 250 m of the beach (An. sundaicus). Understanding the associations of habitat and species in one area, predictions of species presence or absence can be made prior to a ground survey allowing for accurate vector survey and control planning.

[1]  Michael Y. Kosoy,et al.  Landscape Structure and Plague Occurrence in Black-tailed Prairie Dogs on Grasslands of the Western USA , 2005, Landscape Ecology.

[2]  P. Masuoka,et al.  Spatial correlations of mapped malaria rates with environmental factors in Belize, Central America , 2004, International journal of health geographics.

[3]  David M Claborn,et al.  A cost comparison of two malaria control methods in Kyunggi Province, Republic of Korea, using remote sensing and geographic information systems. , 2002, The American journal of tropical medicine and hygiene.

[4]  E. Lambin,et al.  Landscape and Land Cover Factors Influence the Presence of Aedes and Anopheles Larvae , 2007, Journal of medical entomology.

[5]  M Takagi,et al.  Analysis of relationship between Anopheles subpictus larval densities and environmental parameters using Remote Sensing (RS), a Global Positioning System (GPS) and a Geographic Information System (GIS). , 2000, The Kobe journal of medical sciences.

[6]  K. Pope,et al.  Characterization and detection of Anopheles vestitipennis and Anopheles punctimacula (Diptera: Culicidae) larval habitats in Belize with field survey and SPOT satellite imagery. , 1998, Journal of vector ecology : journal of the Society for Vector Ecology.

[7]  U. Kitron,et al.  Landscape ecology and epidemiology of vector-borne diseases: tools for spatial analysis. , 1998, Journal of medical entomology.

[8]  L. R. Beck,et al.  Perspectives Perspectives Perspectives Perspectives Perspectives Remote Sensing and Human Health: New Sensors and New Opportunities , 2022 .

[9]  Use of a remote sensing-based geographic information system in the characterizing spatial patterns for Anopheles minimus A and C breeding habitats in western Thailand. , 2005, The Southeast Asian journal of tropical medicine and public health.

[10]  Shinta,et al.  Environmental Factors Associated with Spatial and Temporal Distribution of Anopheles (Diptera: Culicidae) Larvae in Sukabumi, West Java, Indonesia , 2007, Journal of medical entomology.

[11]  S. Hay,et al.  Satellite imagery in the study and forecast of malaria , 2002, Nature.

[12]  W. Takken,et al.  Environmental Measures for Malaria Control in Indonesia: An Historical Review on Species Sanitation , 1991 .

[13]  P. Dale,et al.  Challenges in using geographic information systems (GIS) to understand and control malaria in Indonesia , 2003, Malaria Journal.

[14]  Durland Fish,et al.  Forest fragmentation predicts local scale heterogeneity of Lyme disease risk , 2005, Oecologia.

[15]  R. Harbach,et al.  Bionomics and systematics of the oriental Anopheles sundaicus complex in relation to malaria transmission and vector control. , 2004, The American journal of tropical medicine and hygiene.

[16]  Hans J. Overgaard,et al.  Effect of landscape structure on anopheline mosquito density and diversity in northern Thailand: Implications for malaria transmission and control , 2003, Landscape Ecology.

[17]  J. A. Reid Anopheline mosquitoes of Malaya and Borneo. Studies from the Institute for Medical Research, Malaysia. , 1968 .

[18]  Ikonos-derived malaria transmission risk in northwestern Thailand. , 2005, The Southeast Asian journal of tropical medicine and public health.

[19]  Uriel Kitron,et al.  Predicting the Risk of Lyme Disease: Habitat Suitability for Ixodes scapularis in the North Central United States , 2002, Emerging infectious diseases.

[20]  M. Turner Landscape ecology: what is the state of the science? , 2005 .

[21]  M. Spanner,et al.  Assessment of a remote sensing-based model for predicting malaria transmission risk in villages of Chiapas, Mexico. , 1997, The American journal of tropical medicine and hygiene.

[22]  J. A. Reid A note on Anopheles subpictus Grassi and A. indefinitus Ludlow (Diptera: Culicidae). , 1966, Journal of medical entomology.

[23]  T. Whitmore The Ecology of Java and Bali. The Ecology of Indonesia Series. Volume II. BY T. WHITTEN, R.E. SOERIAATMADJA, & S.A. AFIFF , 1997, Environmental Conservation.

[24]  R. Levins,et al.  Impact of deforestation and agricultural development on anopheline ecology and malaria epidemiology. , 2007, The American journal of tropical medicine and hygiene.

[25]  D R Roberts,et al.  Predictions of malaria vector distribution in Belize based on multispectral satellite data. , 1996, The American journal of tropical medicine and hygiene.