scholarly journals Medium and large mammals in a Cerrado fragment in Southeast Goiás, Brazil: inventory and immediate effects of habitat reduction on species richness and composition

2019 ◽  
Vol 19 (3) ◽  
Author(s):  
Ednaldo Cândido Rocha ◽  
Jhefferson Silva ◽  
Pablo Timóteo da Silva ◽  
Márcio da Silva Araújo ◽  
André Luis da Silva Castro

Abstract: The reduction and fragmentation of remnant vegetation habitats has been one of the main threats to Cerrado biodiversity. The aim of the present study is to make an inventory of medium and large mammal species in a Cerrado remnant and to assess deforestation influence on part of this fragment on the richness and composition of mammal species. The study was conducted in a Cerrado fragment in southeast Goias State, Ipameri County. Data were collected during three different periods (P1, January-June, 2014; P2, December, 2016 - June, 2017; P3, July-December, 2017) through direct (visual, vocal and camera-trap records) and indirect methods (foot prints, animal burrows and other traces) in order to register the mammal species. Jackknife 1 estimator was used to estimate species richness during each of the three sampled periods and for the complete collection period; species similarity between periods was assessed through the Jaccard's Index of Similarity (Cj). Species richness between periods was performed through inference by overlapping confidence intervals (CI). Twenty-nine species were recorded during the assessed period, five of them were listed as endangered in Brazil. There was no significant change in species richness between the assessed periods: species richness of 25 species was observed in Period 1 (P1), the richness of 32 species was estimated (CI = 4.58); 23 species were recorded in Period 2 (P2), and the richness of 30 species was estimated (CI = 4.39), the richness of 23 species was observed in Period 3 (P3) and the richness of 28 species was estimated (CI = 4.70). Similarity in species composition between the assessed periods recorded Cj = 0.71 (71%) between P1 and P2, Cj = 0.66 (66%) between P1 and P3, and Cj = 0.77 between P2 and P3. Fragment deforestation did not influence the richness and composition of medium and large mammal species (within a period of 2~3 years) when the three periods were compared; however, the absence of changes in the community can be the result of time-lag, therefore, we cannot put aside the likelihood of mid and long-term effects.

2018 ◽  
Vol 18 (3) ◽  
Author(s):  
Ednaldo Cândido Rocha ◽  
Daniel Brito ◽  
Paulo Machado e Silva ◽  
Jhefferson Silva ◽  
Paulo Vitor dos Santos Bernardo ◽  
...  

Abstract: Habitat loss and fragmentation are the main threats to the conservation of Cerrado biodiversity. The objective of this study was to evaluate the implications of habitat loss on the persistence of medium and large mammal species, considering the spatial and temporal changes (years 1985, 2000 and 2014) to the evaluated fragments. The study was carried out in 14 fragments (10.5 - 618 ha), located in Southeastern Goiás, Brazil. Records for 24 mammal species were obtained and revealed the two sites with the largest habitat amount in the landscape contained higher species richness than the remaining sites. The three mammal groups based on body mass (weight < 5 kg; weight between 5 and 20 kg; and weight > 20 kg) analyzed in this study showed different responses regarding landscape changes. For larger mammals (between 5 - 20 kg and > 20 kg), there was significant association between current species richness and the amount of habitat in 2014, while the species richness of smaller mammals did not significantly correlate with any of the variables assessed for any of the years. Therefore, the amount of habitat present within the current landscape was the most important variable regarding mammal species richness, especially for the larger species. The time lag was not evident at the time scale evaluated, and this delay in response may have occurred in a relatively short time (< 15 years). For the remaining fragments in the studied landscapes, most are too small to support populations of some larger mammal species and may also leave individuals more vulnerable to anthropogenic actions (e.g. hunting), whose effects may accelerate local extinctions.


2016 ◽  
Vol 32 (6) ◽  
pp. 760-769 ◽  
Author(s):  
J. Tyler Faith ◽  
Joe Dortch ◽  
Chelsea Jones ◽  
James Shulmeister ◽  
Kenny J. Travouillon

2015 ◽  
Vol 53 ◽  
pp. 70-77 ◽  
Author(s):  
Christian Kiffner ◽  
Michael Albertini ◽  
Alena Ede ◽  
Brenna Donnellan ◽  
Nathan Hahn ◽  
...  

2011 ◽  
Vol 76 (2) ◽  
pp. 115-123 ◽  
Author(s):  
Salvador Salvador ◽  
Miguel Clavero ◽  
Renata Leite Pitman

2010 ◽  
Vol 9 (3) ◽  
pp. 24 ◽  
Author(s):  
Michael Hofreiter ◽  
Ian Barnes

Author(s):  
Jiawei Feng ◽  
Yifei Sun ◽  
Hailong Li ◽  
Yuqi Xiao ◽  
Dandan Zhang ◽  
...  

2022 ◽  
Vol 220 ◽  
pp. 104337
Author(s):  
Aaron M. Grade ◽  
Paige S. Warren ◽  
Susannah B. Lerman

2012 ◽  
Vol 2012 ◽  
pp. 1-13
Author(s):  
Ana L. Márquez ◽  
Raimundo Real ◽  
Marta S. Kin ◽  
José Carlos Guerrero ◽  
Betina Galván ◽  
...  

We analysed the main geographical trends of terrestrial mammal species richness (SR) in Argentina, assessing how broad-scale environmental variation (defined by climatic and topographic variables) and the spatial form of the country (defined by spatial filters based on spatial eigenvector mapping (SEVM)) influence the kinds and the numbers of mammal species along these geographical trends. We also evaluated if there are pure geographical trends not accounted for by the environmental or spatial factors. The environmental variables and spatial filters that simultaneously correlated with the geographical variables and SR were considered potential causes of the geographic trends. We performed partial correlations between SR and the geographical variables, maintaining the selected explanatory variables statistically constant, to determine if SR was fully explained by them or if a significant residual geographic pattern remained. All groups and subgroups presented a latitudinal gradient not attributable to the spatial form of the country. Most of these trends were not explained by climate. We used a variation partitioning procedure to quantify the pure geographic trend (PGT) that remained unaccounted for. The PGT was larger for latitudinal than for longitudinal gradients. This suggests that historical or purely geographical causes may also be relevant drivers of these geographical gradients in mammal diversity.


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