Mosquito Vector Diversity across Habitats in Central Thailand Endemic for Dengue and Other Arthropod-Borne Diseases
Publication Date
October 31, 2013
Journal
PLOS Neglected Tropical Diseases
Authors
Panpim Thongsripong, Amy Green, Pattamaporn Kittayapong, Durrell Kapan, et al
Volume
7
Issue
10
Pages
e2507
DOI
https://dx.plos.org/10.1371/journal.pntd.0002507
Publisher URL
http://journals.plos.org/plosntds/article?id=10.1371%2Fjournal.pntd.0002507
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/24205420
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3814347
Europe PMC
http://europepmc.org/abstract/MED/24205420
Web of Science
000330376500040
Scopus
84887304087
Mendeley
http://www.mendeley.com/research/mosquito-vector-diversity-across-habitats-central-thailand-endemic-dengue-other-arthropodborne-disea
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Mendeley | Further Information

{"title"=>"Mosquito Vector Diversity across Habitats in Central Thailand Endemic for Dengue and Other Arthropod-Borne Diseases", "type"=>"journal", "authors"=>[{"first_name"=>"Panpim", "last_name"=>"Thongsripong", "scopus_author_id"=>"36097133300"}, {"first_name"=>"Amy", "last_name"=>"Green", "scopus_author_id"=>"55921946100"}, {"first_name"=>"Pattamaporn", "last_name"=>"Kittayapong", "scopus_author_id"=>"7004004858"}, {"first_name"=>"Durrell", "last_name"=>"Kapan", "scopus_author_id"=>"6506817685"}, {"first_name"=>"Bruce", "last_name"=>"Wilcox", "scopus_author_id"=>"9632615500"}, {"first_name"=>"Shannon", "last_name"=>"Bennett", "scopus_author_id"=>"9634480600"}], "year"=>2013, "source"=>"PLoS Neglected Tropical Diseases", "identifiers"=>{"issn"=>"19352735", "scopus"=>"2-s2.0-84887304087", "sgr"=>"84887304087", "pui"=>"370218010", "isbn"=>"0002-9637", "pmid"=>"24205420", "doi"=>"10.1371/journal.pntd.0002507"}, "id"=>"7e18b069-4a78-31f2-af40-1548b980c032", "abstract"=>"Recent years have seen the greatest ecological disturbances of our times, with global human expansion, species and habitat loss, climate change, and the emergence of new and previously-known infectious diseases. Biodiversity loss affects infectious disease risk by disrupting normal relationships between hosts and pathogens. Mosquito-borne pathogens respond to changing dynamics on multiple transmission levels and appear to increase in disturbed systems, yet current knowledge of mosquito diversity and the relative abundance of vectors as a function of habitat change is limited. We characterize mosquito communities across habitats with differing levels of anthropogenic ecological disturbance in central Thailand. During the 2008 rainy season, adult mosquito collections from 24 sites, representing 6 habitat types ranging from forest to urban, yielded 62,126 intact female mosquitoes (83,325 total mosquitoes) that were assigned to 109 taxa. Female mosquito abundance was highest in rice fields and lowest in forests. Diversity indices and rarefied species richness estimates indicate the mosquito fauna was more diverse in rural and less diverse in rice field habitats, while extrapolated estimates of true richness (Chao1 and ACE) indicated higher diversity in the forest and fragmented forest habitats and lower diversity in the urban. Culex sp. (Vishnui subgroup) was the most common taxon found overall and the most frequent in fragmented forest, rice field, rural, and suburban habitats. The distributions of species of medical importance differed significantly across habitat types and were always lowest in the intact, forest habitat. The relative abundance of key vector species, Aedes aegypti and Culex quinquefasciatus, was negatively correlated with diversity, suggesting that direct species interactions and/or habitat-mediated factors differentially affecting invasive disease vectors may be important mechanisms linking biodiversity loss to human health. Our results are an important first step for understanding the dynamics of mosquito vector distributions under changing environmental features across landscapes of Thailand.", "link"=>"http://www.mendeley.com/research/mosquito-vector-diversity-across-habitats-central-thailand-endemic-dengue-other-arthropodborne-disea", "reader_count"=>90, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Librarian"=>1, "Student > Doctoral Student"=>3, "Researcher"=>24, "Student > Ph. D. Student"=>25, "Student > Postgraduate"=>5, "Student > Master"=>13, "Other"=>3, "Student > Bachelor"=>9, "Lecturer"=>1, "Professor"=>4}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Librarian"=>1, "Student > Doctoral Student"=>3, "Researcher"=>24, "Student > Ph. D. Student"=>25, "Student > Postgraduate"=>5, "Student > Master"=>13, "Other"=>3, "Student > Bachelor"=>9, "Lecturer"=>1, "Professor"=>4}, "reader_count_by_subject_area"=>{"Unspecified"=>3, "Agricultural and Biological Sciences"=>48, "Arts and Humanities"=>1, "Veterinary Science and Veterinary Medicine"=>3, "Earth and Planetary Sciences"=>2, "Environmental Science"=>11, "Nursing and Health Professions"=>4, "Biochemistry, Genetics and Molecular Biology"=>2, "Mathematics"=>1, "Medicine and Dentistry"=>12, "Pharmacology, Toxicology and Pharmaceutical Science"=>1, "Physics and Astronomy"=>1, "Social Sciences"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>12}, "Social Sciences"=>{"Social Sciences"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>3}, "Environmental Science"=>{"Environmental Science"=>11}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>1}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>48}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>4}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>2}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>3}}, "reader_count_by_country"=>{"United States"=>2, "Japan"=>1, "Mexico"=>1, "United Kingdom"=>1, "Germany"=>1, "Indonesia"=>1, "India"=>1}, "group_count"=>7}

CrossRef

Scopus | Further Information

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Figshare

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  • {"files"=>["http://files.figshare.com/1264096/Figure_5.tif"], "pos_in_sequence"=>0, "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "users"=>["Pattamaporn Kittayapong", "Panpim Thongsripong", "Amy Green", "Durrell Kapan", "Bruce Wilcox", "Shannon Bennett"], "links"=>[], "tags"=>[], "title"=>"<p>Rarefaction curves.</p>", "figshare_url"=>"http://figshare.com/articles/_Rarefaction_curves_/839458", "defined_type"=>1, "doi"=>["http://dx.doi.org/10.1371/journal.pntd.0002507.g005"], "published_date"=>"2013-10-31 08:27:49", "article_id"=>839458, "categories"=>["Ecology", "Biological Sciences"], "description"=>"<p>Calculated number of mosquito taxa as a function of number of sample collected from 24 sites representing six habitat types (solid lines) and 95% confidence intervals (shaded area) were plotted. The curves are used to determine whether the number of mosquitoes collected has reached an asymptote such that 100% of possible species were sampled. The technique also allows the calculation of species richness for a rarefied number of mosquitoes (species density or S<sub>D</sub>).</p>"}
  • {"files"=>["http://files.figshare.com/1264097/Table_2.xls"], "pos_in_sequence"=>0, "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "users"=>["Pattamaporn Kittayapong", "Panpim Thongsripong", "Amy Green", "Durrell Kapan", "Bruce Wilcox", "Shannon Bennett"], "links"=>[], "tags"=>["types", "richness", "communities", "indices", "nayok", "nakhon", "mosquito"], "title"=>"<p>Mean species richness and diversity indices (&#177;95% Confidence Interval) of mosquito communities found in six habitat types of Nakhon Nayok Province, Central Thailand, in 2008.</p>", "figshare_url"=>"http://figshare.com/articles/_Mean_species_richness_and_diversity_indices_177_95_Confidence_Interval_of_mosquito_communities_found_in_six_habitat_types_of_Nakhon_Nayok_Province_Central_Thailand_in_2008_/839459", "defined_type"=>3, "doi"=>["http://dx.doi.org/10.1371/journal.pntd.0002507.t002"], "published_date"=>"2013-10-31 08:27:49", "article_id"=>839459, "categories"=>["Ecology", "Biological Sciences"], "description"=>"<span class=\"pl_xls_label\">a</span><p >Number of sites or replicates for each habitat type.</p>"}
  • {"files"=>["http://files.figshare.com/1264098/Table_3.xls"], "pos_in_sequence"=>0, "stats"=>{"downloads"=>0, "page_views"=>12, "likes"=>0}, "users"=>["Pattamaporn Kittayapong", "Panpim Thongsripong", "Amy Green", "Durrell Kapan", "Bruce Wilcox", "Shannon Bennett"], "links"=>[], "tags"=>["fragmented", "vector", "abundance", "nakhon", "thailand", "nayok"], "title"=>"<p>Average abundance of vector species (&#177;SE) found in the forest (F), fragmented forest (FFR), rice field (RF), rural (RU), suburban (SU), and urban (UR) habitat in Nakhon Nayok Province, Thailand in 2008.</p>", "figshare_url"=>"http://figshare.com/articles/_Average_abundance_of_vector_species_177_SE_found_in_the_forest_F_fragmented_forest_FFR_rice_field_RF_rural_RU_suburban_SU_and_urban_UR_habitat_in_Nakhon_Nayok_Province_Thailand_in_2008_/839460", "defined_type"=>3, "doi"=>["http://dx.doi.org/10.1371/journal.pntd.0002507.t003"], "published_date"=>"2013-10-31 08:27:49", "article_id"=>839460, "categories"=>["Ecology", "Biological Sciences"], "description"=>"<p >JE: Japanese Encephalitis, DF: Dengue Fever, CHIK: Chikunkunya, YF: Yellow Fever.</p><span class=\"pl_xls_label\">a</span><p >Number of site for each habitat type is 3 except for the rice field habitat which only three sites were used in the analysis.</p><span class=\"pl_xls_label\">b</span><p>nematode <i>Wuchereria bancrofti</i>.</p><span class=\"pl_xls_label\">c</span><p>nematode <i>Brugia malayi</i>.</p><span class=\"pl_xls_label\">*</span><p >significant variation across sites according to ANOVA, p&lt;0.05 (for Anopheles spp., p&lt;0.057).</p>"}
  • {"files"=>["http://files.figshare.com/1264099/Table_1.xls"], "pos_in_sequence"=>0, "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "users"=>["Pattamaporn Kittayapong", "Panpim Thongsripong", "Amy Green", "Durrell Kapan", "Bruce Wilcox", "Shannon Bennett"], "links"=>[], "tags"=>["fragmented", "sites", "24"], "title"=>"<p>Locations, trapping dates, and habitat features for 24 sites representing urban, suburban, rural, rice field, fragmented forest, and forest habitat type.</p>", "figshare_url"=>"http://figshare.com/articles/_Locations_trapping_dates_and_habitat_features_for_24_sites_representing_urban_suburban_rural_rice_field_fragmented_forest_and_forest_habitat_type_/839461", "defined_type"=>3, "doi"=>["http://dx.doi.org/10.1371/journal.pntd.0002507.t001"], "published_date"=>"2013-10-31 08:27:49", "article_id"=>839461, "categories"=>["Ecology", "Biological Sciences"], "description"=>"<span class=\"pl_xls_label\">a</span><p >Mosquitoes were collected in the rainy season of 2008.</p><span class=\"pl_xls_label\">b</span><p >Human settlement is quantified using the numbers of residential buildings in the study site (around 1,000 m&#215;1,000 m).</p><span class=\"pl_xls_label\">c</span><p >Traffic is quantified using the numbers of humans and automobiles that travel into/pass the site around noon on one of the weekdays during the 30 minutes observation periods.</p><span class=\"pl_xls_label\">d</span><p >Surrounding area is assessed from the margin of the study site out to approximately 100 meters.</p>"}
  • {"files"=>["http://files.figshare.com/1264100/Table_S1.xlsx"], "pos_in_sequence"=>0, "stats"=>{"downloads"=>0, "page_views"=>10, "likes"=>0}, "users"=>["Pattamaporn Kittayapong", "Panpim Thongsripong", "Amy Green", "Durrell Kapan", "Bruce Wilcox", "Shannon Bennett"], "links"=>[], "tags"=>["arthropod-borne", "habitats", "vector", "endemic", "thailand", "dengue"], "title"=>"<p>Mosquito Vector Diversity across Habitats in Central Thailand Endemic for Dengue and Other Arthropod-Borne Diseases</p>", "figshare_url"=>"http://figshare.com/articles/_Mosquito_Vector_Diversity_across_Habitats_in_Central_Thailand_Endemic_for_Dengue_and_Other_Arthropod_Borne_Diseases_/839462", "defined_type"=>3, "doi"=>["http://dx.doi.org/10.1371/journal.pntd.0002507.s001"], "published_date"=>"2013-10-31 08:27:49", "article_id"=>839462, "categories"=>["Ecology", "Biological Sciences"], "description"=>"<div><p>Recent years have seen the greatest ecological disturbances of our times, with global human expansion, species and habitat loss, climate change, and the emergence of new and previously-known infectious diseases. Biodiversity loss affects infectious disease risk by disrupting normal relationships between hosts and pathogens. Mosquito-borne pathogens respond to changing dynamics on multiple transmission levels and appear to increase in disturbed systems, yet current knowledge of mosquito diversity and the relative abundance of vectors as a function of habitat change is limited. We characterize mosquito communities across habitats with differing levels of anthropogenic ecological disturbance in central Thailand. During the 2008 rainy season, adult mosquito collections from 24 sites, representing 6 habitat types ranging from forest to urban, yielded 62,126 intact female mosquitoes (83,325 total mosquitoes) that were assigned to 109 taxa. Female mosquito abundance was highest in rice fields and lowest in forests. Diversity indices and rarefied species richness estimates indicate the mosquito fauna was more diverse in rural and less diverse in rice field habitats, while extrapolated estimates of true richness (Chao1 and ACE) indicated higher diversity in the forest and fragmented forest habitats and lower diversity in the urban. <i>Culex</i> sp. (Vishnui subgroup) was the most common taxon found overall and the most frequent in fragmented forest, rice field, rural, and suburban habitats. The distributions of species of medical importance differed significantly across habitat types and were always lowest in the intact, forest habitat. The relative abundance of key vector species, <i>Aedes aegypti</i> and <i>Culex quinquefasciatus</i>, was negatively correlated with diversity, suggesting that direct species interactions and/or habitat-mediated factors differentially affecting invasive disease vectors may be important mechanisms linking biodiversity loss to human health. Our results are an important first step for understanding the dynamics of mosquito vector distributions under changing environmental features across landscapes of Thailand.</p></div>"}
  • {"files"=>["http://files.figshare.com/1264092/Figure_1.tif"], "pos_in_sequence"=>0, "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "users"=>["Pattamaporn Kittayapong", "Panpim Thongsripong", "Amy Green", "Durrell Kapan", "Bruce Wilcox", "Shannon Bennett"], "links"=>[], "tags"=>["degradation"], "title"=>"<p>Habitat degradation gradient.</p>", "figshare_url"=>"http://figshare.com/articles/_Habitat_degradation_gradient_/839450", "defined_type"=>1, "doi"=>["http://dx.doi.org/10.1371/journal.pntd.0002507.g001"], "published_date"=>"2013-10-31 08:27:49", "article_id"=>839450, "categories"=>["Ecology", "Biological Sciences"], "description"=>"<p >Habitats found in central Thailand (top; photos by PT) represent landscape types with increasing degrees of anthropogenic modification (bottom, from left to right; drawings by Nancy Hulbirt, SOEST Illustrations) and biodiversity loss of flora and fauna, as seen by remote imaging (middle; images from NASA's Earth Observatory). Left to right: forest habitats with high biodiversity; agricultural habitats with mixed farming and forest patches to monocultures; rural habitats with some human dwellings, family farming and forest patches; suburban habitats with more human dwellings, some commercial activity, and fewer forest patches; urban habitats with dense residential and commercial activities and little to no forest patches.</p>"}
  • {"files"=>["http://files.figshare.com/1264093/Figure_2.tif"], "pos_in_sequence"=>0, "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "users"=>["Pattamaporn Kittayapong", "Panpim Thongsripong", "Amy Green", "Durrell Kapan", "Bruce Wilcox", "Shannon Bennett"], "links"=>[], "tags"=>["nakhon", "nayok"], "title"=>"<p>Map of study area in Nakhon Nayok Province, Thailand.</p>", "figshare_url"=>"http://figshare.com/articles/_Map_of_study_area_in_Nakhon_Nayok_Province_Thailand_/839454", "defined_type"=>1, "doi"=>["http://dx.doi.org/10.1371/journal.pntd.0002507.g002"], "published_date"=>"2013-10-31 08:27:49", "article_id"=>839454, "categories"=>["Ecology", "Biological Sciences"], "description"=>"<p >Mosquitoes were collected in 24 sites representing six habitat types: Forest (F1 to F4), Fragmented Forest (FFR1 to FFR4), Rice Field (RF1 to RF4), Rural (RU1 to RU4), Suburban (SU1 to SU4), and Urban habitats (UR1 to UR2). Satellite imagery courtesy of the U.S. Geological Survey Land Remote Sensing Program (Landsat 8).</p>"}
  • {"files"=>["http://files.figshare.com/1264094/Figure_3.tif"], "pos_in_sequence"=>0, "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "users"=>["Pattamaporn Kittayapong", "Panpim Thongsripong", "Amy Green", "Durrell Kapan", "Bruce Wilcox", "Shannon Bennett"], "links"=>[], "tags"=>["intervals", "abundance"], "title"=>"<p>Mean abundance and 95% confidence intervals of female and male mosquitoes.</p>", "figshare_url"=>"http://figshare.com/articles/_Mean_abundance_and_95_confidence_intervals_of_female_and_male_mosquitoes_/839455", "defined_type"=>1, "doi"=>["http://dx.doi.org/10.1371/journal.pntd.0002507.g003"], "published_date"=>"2013-10-31 08:27:49", "article_id"=>839455, "categories"=>["Ecology", "Biological Sciences"], "description"=>"<p >Mosquitoes were caught in the forest (F), fragmented forest (FFR), rice field (RF), rural, (RU) suburban (SU), and urban (UR) habitats in Nakhon Nayok Province, Central Thailand, during the rainy season of 2008. Each habitat type is represented by four replicate sites, except for the rice field habitat where only three sites were included in the analysis.</p>"}

PMC Usage Stats | Further Information

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Relative Metric

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