scholarly journals Amblyomma tapirellum  (Acari: Ixodidae) collected from tropical forest canopy

F1000Research ◽  
2014 ◽  
Vol 2 ◽  
pp. 194
Author(s):  
Jose R Loaiza ◽  
Matthew J Miller ◽  
Eldredge Bermingham ◽  
Oris I Sanjur ◽  
Patrick A Jansen ◽  
...  
Keyword(s):  
Tropical Forests ◽  
Forest Canopy ◽  
Ground Level ◽  
Barro Colorado Island ◽  
Light Traps ◽  
Ecological Relationship ◽  
Questing Ticks ◽  
Free Ranging ◽  
Central Panama ◽  
Tropical Forest Canopy

Free-ranging ticks are widely known to be restricted to the ground level of vegetation. Here, we document the capture of the tick species Amblyomma tapirellum in light traps placed in the forest canopy of Barro Colorado Island, central Panama. A total of forty eight adults and three nymphs were removed from carbon dioxide–octenol baited CDC light traps suspended 20 meters above the ground during surveys for forest canopy mosquitoes. To our knowledge, this represents the first report of questing ticks from the canopy of tropical forests. Our finding suggests a novel ecological relationship between A. tapirellum and arboreal mammals, perhaps monkeys that come to the ground to drink or to feed on fallen fruits.

scholarly journals Amblyomma tapirellum  (Acari: Ixodidae) collected from tropical forest canopy

F1000Research ◽  
2013 ◽  
Vol 2 ◽  
pp. 194
Author(s):  
Jose R Loaiza ◽  
Matthew J Miller ◽  
Eldredge Bermingham ◽  
Oris I Sanjur ◽  
Patrick A Jansen ◽  
...  
Keyword(s):  
Tropical Forests ◽  
Forest Canopy ◽  
Ground Level ◽  
Barro Colorado Island ◽  
Light Traps ◽  
Ecological Relationship ◽  
Questing Ticks ◽  
Free Ranging ◽  
Central Panama ◽  
Tropical Forest Canopy

Free-ranging ticks are widely known to be restricted to the ground level of vegetation. Here, we document the capture of the tick species Amblyomma tapirellum in light traps placed in the forest canopy of Barro Colorado Island, central Panama. A total of forty eight adults and three nymphs were removed from carbon dioxide–octenol baited CDC light traps suspended 20 meters above the ground during surveys for forest canopy mosquitoes. To our knowledge, this represents the first report of questing ticks from the canopy of tropical forests. Our finding suggests a novel ecological relationship between A. tapirellum and arboreal mammals, perhaps monkeys that come to the ground to drink or to feed on fallen fruits.

Culex pipiens (Culicidae) is attracted to humans in southern Ontario, but will it serve as a bridge vector of West Nile virus?

2012 ◽  
Vol 144 (5) ◽  
pp. 667-671 ◽  
Author(s):  
Curtis Russell ◽  
Fiona F. Hunter
Keyword(s):  
West Nile Virus ◽  
Disease Control ◽  
Culex Pipiens ◽  
Forest Canopy ◽  
Ground Level ◽  
Light Traps ◽  
Aedes Vexans ◽  
West Nile ◽  
Southern Ontario ◽  
Baited Traps

AbstractWe tested whether the known bird-biting mosquito, Culex pipiens Linnaeus (Diptera: Culicidae), is attracted to human hosts by placing humans at ground level (∼1.5 m) or in the forest canopy (∼5 m) in a Niagara woodlot. Modified Centers for Disease Control (CDC) miniature light traps (no light, no CO2) were placed next to the human hosts to capture the attracted mosquitoes. The human-baited traps were compared with control traps (standard CDC miniature light traps with CO2, but no light). As expected from previous research, there were more C. pipiens captured at the higher elevation than at ground level. Generally, they were attracted to control traps more than to human-baited traps at 5 m, whereas at 1.5 m there was no difference between the two trap types. As a comparison, most Aedes vexans (Meigen) mosquitoes were captured at the 1.5 m elevation but there were significantly more captured in the control traps than the human-baited traps during all periods. Because C. pipiens is attracted to humans throughout the entire season at the 1.5 m height (where they might encounter humans), it is likely that C. pipiens can serve as a bridge vector of West Nile virus (WNV).

scholarly journals Tropical forest canopy height estimation from combined polarimetric SAR and LiDAR using machine-learning

2021 ◽  
Vol 172 ◽  
pp. 79-94
Author(s):  
Maryam Pourshamsi ◽  
Junshi Xia ◽  
Naoto Yokoya ◽  
Mariano Garcia ◽  
Marco Lavalle ◽  
...  
Keyword(s):  
Machine Learning ◽  
Tropical Forest ◽  
Forest Canopy ◽  
Canopy Height ◽  
Polarimetric Sar ◽  
Height Estimation ◽  
Tropical Forest Canopy

On the vertical distribution of Phlebotomine sandflies (Dipt., Psychodidae) in British Honduras (Belize)

1970 ◽  
Vol 59 (4) ◽  
pp. 637-646 ◽  
Author(s):  
Paul Williams
Keyword(s):  
Ground Level ◽  
Insect Host ◽  
Leishmania Mexicana ◽  
Light Traps ◽  
Principal Vector ◽  
New Information ◽  
Phlebotomine Sandflies ◽  
British Honduras ◽  
The Vertical Distribution ◽  
Blood Meals

Phlebotomine sandflies were collected simultaneously at ground level, 25 ft and 40 ft in an area of medium bush in British Honduras (Belize).Flies were captured on human bait, with rat-baited oil-traps and with miniature light-traps, and some resting individuals were collected at each level. One species of Brumptomyia França and 18 of Lutzomyia França & Parrot were obtained. Brief notes on some of these species are given.Miniature light-traps provided the widest range of species, were the most satisfactory means for collecting Brumptomyia, L. steatopyga (Fairchild & Hertig) and L. carpenteri (Fairchild & Hertig), and yielded new information on the flight activities of L. deleoni (Fairchild & Hertig) and L. panamensis (Shannon).Most species collected were found to be predominantly arboreal in habit, L. permira (Fairchild & Hertig) and Lutzomyia sp. P being almost exclusively so. Some species (L. panamensis, possibly L. geniculata (Mangabeira) and L. bispinosa (Fairchild & Hertig)) live amongst the foliage but descend to the forest floor to seek blood-meals. A few species (L. steatopyga, L. deleoni and L. olmeca (Vargas & Díaz Nájera)) are active mainly near the ground, though the occasional specimen may be carried much higher.L. olmeca is the principal vector of rodent leishmaniasis in British Honduras. In the present study, no evidence was obtained to incriminate any other species of Phlebotomine as an insect host for Leishmania mexicana, and the mode of transmission of the parasite to man remains obscure.

scholarly journals Weak Environmental Controls of Tropical Forest Canopy Height in the Guiana Shield

2016 ◽  
Vol 8 (9) ◽  
pp. 747 ◽  
Author(s):  
Youven Goulamoussène ◽  
Caroline Bedeau ◽  
Laurent Descroix ◽  
Vincent Deblauwe ◽  
Laurent Linguet ◽  
...  
Keyword(s):  
Tropical Forest ◽  
Forest Canopy ◽  
Canopy Height ◽  
Guiana Shield ◽  
Environmental Controls ◽  
Tropical Forest Canopy

scholarly journals Comparison of Modeling Algorithms for Forest Canopy Structures Based on UAV-LiDAR: A Case Study in Tropical China

Forests ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 1324
Author(s):  
Xi Peng ◽  
Anjiu Zhao ◽  
Yongfu Chen ◽  
Qiao Chen ◽  
Haodong Liu ◽  
...  
Keyword(s):  
Tropical Forests ◽  
Laser Scanning ◽  
Forest Canopy ◽  
Sustainable Forest Management ◽  
Mean Squared Error ◽  
Structural Parameters ◽  
Recursive Feature Elimination ◽  
Support Vector ◽  
Lidar Data ◽  
Area Index

Knowledge of forest structure is vital for sustainable forest management decisions. Terrestrial laser scanning cannot describe the canopy trees in a large area, and it is unclear whether unmanned aerial vehicle-light detection and ranging (UAV-LiDAR) data have the ability to capture the forest canopy structural parameters in tropical forests. In this study, we estimated five forest canopy structures (stand density (N), basic area (G), above-ground biomass (AGB), Lorey’s mean height (HL), and under-crown height (hT)) with four modeling algorithms (linear regression (LR), bagged tree (BT), support vector regression (SVR), and random forest (RF)) based on UAV-LiDAR data and 60 sample plot data from tropical forests in Hainan and determined the optimal algorithms for the five canopy structures by comparing the performance of the four algorithms. First, we defined the canopy tree as a tree with a height ≥70% HL. Then, UAV-LiDAR metrics were calculated, and the LiDAR metrics were screened by recursive feature elimination (RFE). Finally, a prediction model of the five forest canopy structural parameters was established by the four algorithms, and the results were compared. The metrics’ screening results show that the most important LiDAR indexes for estimating HL, AGB, and hT are the leaf area index and some height metrics, while the most important indexes for estimating N and G are the kurtosis of heights and the coefficient of variation of height. The relative root mean squared error (rRMSE) of five structure parameters showed the following: when modeling HL, the rRMSEs (10.60%–12.05%) obtained by the four algorithms showed little difference; when N was modeled, BT, RF, and SVR had lower rRMSEs (26.76%–27.44%); when G was modeled, the rRMSEs of RF and SVR (15.37%–15.87%) were lower; when hT was modeled, BT, RF, and SVR had lower rRMSEs (10.24%–11.07%); when AGB was modeled, RF had the lowest rRMSE (26.75%). Our results will help facilitate choosing LiDAR indexes and modeling algorithms for tropical forest resource inventories.

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