scholarly journals Habitat Patch Size and Landscape Structure Influence, Although Weakly, the Parasite Richness of an Arboreal Folivorous-frugivorous Primate in Anthropogenic Landscapes

Author(s):  
Vinícius Freitas Klain ◽  
Márcia Bohrer Mentz ◽  
Sebastián Bustamante-Manrique ◽  
Júlio César Bicca-Marques

Abstract ContextAnthropogenic habitat disturbances that affect the ecology and behavior of parasites and hosts can either facilitate or compromise their interactions and modulate the parasite richness.ObjectivesWe assessed if the size of the habitat patch, the composition and configuration of the landscape (forest cover, patch density and mean distance to the nearest patch) and host group size influence the parasite richness of brown howler monkeys (Alouatta guariba clamitans) inhabiting forest fragments immersed in an anthropogenic matrix.MethodsWe collected fecal samples from 60 howler monkey groups inhabiting distinct forest fragments (one group/fragment) from January to July 2019. We used generalized linear models to assess the power of the independent variables in predicting parasite richness at the patch- and patch-landscape scales.ResultsWe found 10 parasite taxa (five basal eukaryotes, four nematodes and one platyhelminth), nine of which also infect humans or domestic animals. Overall parasite richness showed an inverse relationship with habitat patch size and forest cover, and a direct relationship with the mean distance to the nearest patch and group size. Patch-landscape metrics and host group size also influenced the infection with parasites with direct cycle and transmission via ingestion of the infective stage in the arboreal environment or with parasites with indirect cycle and transmission via ingestion of intermediate hosts. However, all significant models presented low weight.ConclusionsWe suggest that characteristics of parasite and host populations among other factors are more critical modulators of the relationship between howler monkeys and their parasites in anthropogenic landscapes.

Coral Reefs ◽  
2006 ◽  
Vol 26 (1) ◽  
pp. 165-174 ◽  
Author(s):  
V. J. Thompson ◽  
P. L. Munday ◽  
G. P. Jones

Oecologia ◽  
1993 ◽  
Vol 95 (3) ◽  
pp. 321-327 ◽  
Author(s):  
Michael S. Barbour ◽  
John A. Litvaitis

1999 ◽  
Vol 77 (8) ◽  
pp. 1175-1184 ◽  
Author(s):  
W James Rettie ◽  
Philip D McLoughlin

For many species, determination of habitat selection is based on habitat-use data obtained through radiotelemetry. Recent papers pertaining to study techniques have largely ignored the effect of habitat-dependent bias in the performance of radiotelemetry systems. Such biases cannot be overcome by increasing radiotelemetry precision, excluding data, or increasing sample sizes, as the biases are centred around data that are missing or that contain habitat-dependent errors in location. The problem is best addressed at the data-analysis stage through the use of geographic information systems. We used Monte Carlo simulations to assess the effect of habitat-dependent bias in radiotelemetry studies on the assessment of habitat selection. We looked at the effects of habitat-patch size, level of telemetry signal inhibition, level of habitat co-occurrence, and selection pattern. We demonstrated that regarding use as the composition of habitat types within a circular area around each telemetry location can help to overcome the inaccurate assessment of habitat-selection patterns that biased data produce. The size of the circular area best able to overcome the bias is related to habitat patch size and to the level of association between two or more habitat types. Furthermore, we argue that the characteristics of habitat mosaics selected by animals can and should be studied in this way.


2000 ◽  
Vol 64 (3) ◽  
pp. 820 ◽  
Author(s):  
Marsha A. Sovada ◽  
Michael C. Zicus ◽  
Raymond J. Greenwood ◽  
David P. Rave ◽  
Wesley E. Newton ◽  
...  

2005 ◽  
Vol 74 (2) ◽  
pp. 141-150 ◽  
Author(s):  
Marian Y.L. Wong ◽  
Philip L. Munday ◽  
Geoffrey P. Jones

2020 ◽  
Vol 29 (7) ◽  
pp. 2419-2438 ◽  
Author(s):  
Danielle Storck-Tonon ◽  
Ricardo José da Silva ◽  
Lucas Sawaris ◽  
Fernando Z. Vaz-de-Mello ◽  
Dionei José da Silva ◽  
...  

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