Using species abundance distribution models and diversity indices for biogeographical analyses

2016 ◽  
Vol 70 ◽  
pp. 21-28 ◽  
Author(s):  
Simone Fattorini ◽  
François Rigal ◽  
Pedro Cardoso ◽  
Paulo A.V. Borges
2019 ◽  
Vol 32 (1) ◽  
pp. 103-117
Author(s):  
Yang Wang ◽  
Huoming Zhou ◽  
Jingyong Cai ◽  
Congwen Song ◽  
Linzhao Shi

2015 ◽  
Author(s):  
Elita Baldridge ◽  
David J. Harris ◽  
Xiao Xiao ◽  
Ethan P. White

AbstractA number of different models have been proposed as descriptions of the species-abundance distribution (SAD). Most evaluations of these models use only one or two models, focus only a single ecosystem or taxonomic group, or fail to use appropriate statistical methods. We use likelihood and AIC to compare the fit of four of the most widely used models to data on over 16,000 communities from a diverse array of taxonomic groups and ecosystems. Across all datasets combined the log-series, Poisson lognormal, and negative binomial all yield similar overall fits to the data. Therefore, when correcting for differences in the number of parameters the log-series generally provides the best fit to data. Within individual datasets some other distributions performed nearly as well as the log-series even after correcting for the number of parameters. The Zipf distribution is generally a poor characterization of the SAD.


2019 ◽  
Vol 135 ◽  
pp. 28-35 ◽  
Author(s):  
Pedro Manuel Villa ◽  
Sebastião Venâncio Martins ◽  
Alice Cristina Rodrigues ◽  
Nathália Vieira Hissa Safar ◽  
Michael Alejandro Castro Bonilla ◽  
...  

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2823 ◽  
Author(s):  
Elita Baldridge ◽  
David J. Harris ◽  
Xiao Xiao ◽  
Ethan P. White

A number of different models have been proposed as descriptions of the species-abundance distribution (SAD). Most evaluations of these models use only one or two models, focus on only a single ecosystem or taxonomic group, or fail to use appropriate statistical methods. We use likelihood and AIC to compare the fit of four of the most widely used models to data on over 16,000 communities from a diverse array of taxonomic groups and ecosystems. Across all datasets combined the log-series, Poisson lognormal, and negative binomial all yield similar overall fits to the data. Therefore, when correcting for differences in the number of parameters the log-series generally provides the best fit to data. Within individual datasets some other distributions performed nearly as well as the log-series even after correcting for the number of parameters. The Zipf distribution is generally a poor characterization of the SAD.


2020 ◽  
Vol 14 (1) ◽  
pp. 16-33 ◽  
Author(s):  
YETCHOM-FONDJO JEANNE AGRIPPINE ◽  
KEKEUNOU - SÉVILOR ◽  
KENNE - MARTIN ◽  
MISSOUP ALAIN DIDIER ◽  
SHENG-QUAN XU

Grasshoppers have been identified as excellent monitors of landscape use. Despite their importance, their composition and distribution in the highly disturbed Littoral Cameroon is still unknown. The aim of this study was to determine the effect of human activities on diversity, abundance and distribution of grasshopper species in the Littoral region of Cameron. We investigated three types of vegetation differing remarkably on the level of anthropogenic impact (farmlands, fallows and forests), using sweep netting. The eight non-parametric estimators for specific richness, abundance, α and β diversity indices and species abundance distribution models, were used to compare the structure of communities among vegetation. Overall, 38 species belonging to three families and ten subfamilies were recorded. The Acrididae was the most diverse family. The species richness, abundance and diversity were higher in farmlands than in fallows and in forests. Five species occurred exclusively in farmlands, one in fallows and four in forests. Eyprepocnemis plorans, Coryphosima stenoptera, Serpusia opacula were overall the most abundant species respectively in cultivated farms, fallows and forests. Species abundance distribution fitted the Motomura model in all sites. Serpusia opacula is considered as a useful indicator since its presence and abundance significantly depend on the rate of forest naturalness. The farmlands were characterized by short vegetation while the fallows and forests were dominated by tall grasses and tall trees respectively. Anthropogenic disturbances promote the species richness, diversity and abundance of open meadow species, while it is detrimental to forest species which are sensitive, specialized and have limited dispersal abilities. Key words: Grasshopper, diversity, abundance, distribution, bioindicator


Oecologia ◽  
2012 ◽  
Vol 170 (2) ◽  
pp. 477-488 ◽  
Author(s):  
Edwige Bellier ◽  
Vidar Grøtan ◽  
Steinar Engen ◽  
Ann Kristin Schartau ◽  
Ola H. Diserud ◽  
...  

2020 ◽  
pp. 159-167 ◽  
Author(s):  
A. Dimitrova ◽  
M. Milošević ◽  
T. Spanos ◽  
I. Livieratos ◽  
V. D. Gkisakis

Yellow or transparent? Comparison of sticky traps for monitoring functional arthropod diversity in an olive agroecosystem. A diverse and balanced arthropod community is known to play an important role in the olive canopy but monitoring methods are not always well defined. We monitored canopy arthropods in an olive orchard over two years, comparing the performance of yellow sticky traps and transparent sticky traps. Data used to compare the two types of traps were arthropod abundance, richness, diversity indices, species abundance distribution and aggregation of taxa in functional groups based on prioritized agroecosystem services. The total abundance of arthropods caught in the yellow traps was higher than that in the transparent traps but diversity in both traps was similar. Transparent traps may therefore be a valid option to assess biodiversity in an olive agrosystem as besides being less labor demanding than yellow traps, they are low cost and replicable, and do not damage the overall arthropod.


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