scholarly journals Seasonal biodiversity of black flies (Diptera: Simuliidae) and evaluation of ecological factors influencing species distribution at Doi Pha Hom Pok National Park, Thailand

Acta Tropica ◽  
2015 ◽  
Vol 149 ◽  
pp. 212-219 ◽  
Author(s):  
Wichai Srisuka ◽  
Hiroyuki Takaoka ◽  
Yasushi Otsuka ◽  
Masako Fukuda ◽  
Sorawat Thongsahuan ◽  
...  
Keyword(s):  
Species Distribution ◽  
National Park ◽  
Ecological Factors ◽  
Black Flies ◽  
Factors Influencing

Ecological factors influencing habitat use by chimpanzees at Ngogo, Kibale National Park, Uganda

2015 ◽  
Vol 78 (4) ◽  
pp. 432-440 ◽  
Author(s):  
Kevin B. Potts ◽  
Erica Baken ◽  
Ashley Levang ◽  
David P. Watts
Keyword(s):  
Habitat Use ◽  
National Park ◽  
Ecological Factors ◽  
Kibale National Park ◽  
Factors Influencing

Ecological Factors Influencing Bonobo Density and Distribution in the Salonga National Park: Applications for Population Assessment

2007 ◽  
pp. 167-188 ◽  
Author(s):  
Gay Edwards Reinartz ◽  
Patrick Guislain ◽  
T. D. Mboyo Bolinga ◽  
Edmond Isomana ◽  
Bila-Isia Inogwabini ◽  
...  
Keyword(s):  
National Park ◽  
Ecological Factors ◽  
Population Assessment ◽  
Factors Influencing

scholarly journals Predicting the distribution of a rare chipmunk (Neotamias quadrivittatus oscuraensis): comparing MaxEnt and occupancy models

2020 ◽  
Vol 101 (4) ◽  
pp. 1035-1048
Author(s):  
Ian E Perkins-Taylor ◽  
Jennifer K Frey
Keyword(s):  
Species Distribution ◽  
Environmental Variables ◽  
Vegetation Type ◽  
Ecological Factors ◽  
Small Sample ◽  
Camera Traps ◽  
Model Complexity ◽  
Occupancy Models ◽  
Occupancy Model ◽  
Factors Influencing

Abstract Species distribution models (SDMs) use presence records to determine the relationship between species occurrence and various environmental variables to create predictive maps describing the species’ distribution. The Oscura Mountains Colorado chipmunk (Neotamias quadrivittatus oscuraensis) occurs in central New Mexico and is of conservation concern due to its relict distribution and threats to habitat. We previously created an occupancy model for this taxon, but were concerned that the model may not have adequately captured the ecological factors influencing the chipmunk’s distribution because of the data hungry nature of occupancy modeling. MaxEnt is another SDM method that is particularly effective at testing large numbers of variables and handling small sample sizes. Our goal was to create a MaxEnt model for the Oscura Mountains Colorado chipmunk and to compare it with our previous occupancy model for this taxon, either to strengthen our original assessment of the relevant ecological factors or identify additional factors that were not captured by our occupancy model. We created MaxEnt models using occurrence records from baited camera traps and opportunistic surveys. We adjusted model complexity using a novel method for tuning both the regularization multiplier and feature class parameters while also performing variable selection. We compared the distribution maps and variables selected by MaxEnt to the results of our occupancy model for this taxon. The MaxEnt and occupancy models selected similar environmental variables and the overall spatial pattern of occurrence was similar for each model. Likelihood of occurrence was positively related to elevation, piñon woodland vegetation type, and topographic variables associated with escarpments. The overall similarities between the MaxEnt and occupancy models increased our confidence of the ecological factors influencing the distribution of the chipmunk. We conclude that MaxEnt offers advantages for predicting the distribution of rare species, which can help inform conservation actions.

To the flora of сonjugates (Streptophyta, Conjugatophyceae) of the Valdai District area of the National Park «Valdaiskiy» (Novgorod Region, Russia)

2014 ◽  
Vol 48 ◽  
pp. 81-88
Author(s):  
A. F. Luknitskaya
Keyword(s):  
Species Distribution ◽  
National Park ◽  
Species Abundance ◽  
Water Bodies ◽  
Number Of Species ◽  
First Time

76 species, 3 varieties and 1 form from 21 genera of Streptophyta, Conjugatophyceae (Actinotaenium, Bambusina, Closterium, Cosmarium, Cylindrocystis, Euastrum, Gonatozygon, Haplotaenium, Micrasterias, Mougeotia, Netrium, Penium, Planotaenium, Pleurotaenium, Raphidiastrum, Spirogyra, Spirotaenia, Staurastrum, Staurodesmus, Tetmemorus, Xanthidium) were found in the basins of the Valdai District area of the National Park «Valdaiskiy» (Novgorod Region, Russia). The list of species is annotated with data on the species distribution in 55 collecting sites of 29 water bodies of the national park, and species abundance in collected samples according to Luknitskaya (2009). Among above mentioned genera, the genus Cosmarium is represented by the greatest number of species (20). Staurastrum chaetoceros has been found for the first time for the Novgorod Region.

scholarly journals The distribution of woody species in relation to climate and fire in Yosemite National Park, California, USA

Fire Ecology ◽  
2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Jan W. van Wagtendonk ◽  
Peggy E. Moore ◽  
Julie L. Yee ◽  
James A. Lutz
Keyword(s):  
Plant Species ◽  
Sierra Nevada ◽  
Species Distribution ◽  
National Park ◽  
Woody Plant ◽  
Fire Regime ◽  
Yosemite National Park ◽  
Distribution Models ◽  
Ecological Zones ◽  
Woody Plant Species

Abstract Background The effects of climate on plant species ranges are well appreciated, but the effects of other processes, such as fire, on plant species distribution are less well understood. We used a dataset of 561 plots 0.1 ha in size located throughout Yosemite National Park, in the Sierra Nevada of California, USA, to determine the joint effects of fire and climate on woody plant species. We analyzed the effect of climate (annual actual evapotranspiration [AET], climatic water deficit [Deficit]) and fire characteristics (occurrence [BURN] for all plots, fire return interval departure [FRID] for unburned plots, and severity of the most severe fire [dNBR]) on the distribution of woody plant species. Results Of 43 species that were present on at least two plots, 38 species occurred on five or more plots. Of those 38 species, models for the distribution of 13 species (34%) were significantly improved by including the variable for fire occurrence (BURN). Models for the distribution of 10 species (26%) were significantly improved by including FRID, and two species (5%) were improved by including dNBR. Species for which distribution models were improved by inclusion of fire variables included some of the most areally extensive woody plants. Species and ecological zones were aligned along an AET-Deficit gradient from cool and moist to hot and dry conditions. Conclusions In fire-frequent ecosystems, such as those in most of western North America, species distribution models were improved by including variables related to fire. Models for changing species distributions would also be improved by considering potential changes to the fire regime.

Host species influence on flea (Siphonaptera) infection parameters of terrestrial micromammals in a temperate forest of Mexico

Parasitology ◽  
2018 ◽  
Vol 146 (5) ◽  
pp. 670-677
Author(s):  
Fernando Aguilar Montiel ◽  
Arturo Estrada-Torres ◽  
Roxana Acosta ◽  
Miguel Rubio-Godoy ◽  
Jorge Vázquez
Keyword(s):  
Host Species ◽  
National Park ◽  
Temperate Forest ◽  
Flea Species ◽  
Factors Influencing ◽  
La Malinche ◽  
Infection Parameters ◽  
Major Factors ◽  
La Malinche National Park ◽  
Abundance And Distribution

AbstractStudies of abundance and distribution of organisms are fundamental to ecology. The identity of host species is known to be one of the major factors influencing ectoparasitic flea abundance, but explanations are still needed regarding how host taxa influence abundance parameters of different flea species. This study was carried out at La Malinche National Park (LMNP), Tlaxcala, Mexico, where previously 11 flea species had been recorded on 8 host species. Our aims were to list micromammal flea species, to determine flea infection parameters [flea prevalence (FP) and flea mean abundance (FMA)] and to analyse the influence of host species on these parameters. A total of 16 species of fleas were identified from 1178 fleas collected from 14 species of 1274 micromammals captured with Sherman®traps from March 2014 to December 2015 in 18 sites at LMNP. Some host species influence FP and FMA, in particular,Microtus mexicanusandPeromyscus melanotisshowed particularly higher infection values than other host species.Plusaetis aztecusandPlusaetis sibynuswere identified as the most abundant flea species.

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