Butterfly diversity in Kolkata, India: An appraisal for conservation management

Mukherjee, Swarnali; Banerjee, Suranjana; Saha, Goutam Kumar; Basu, Prasenjit; Aditya, Gautam

doi:10.1016/j.japb.2015.08.001

Cited by 32 publications

(20 citation statements)

References 42 publications

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“…Although local determinants of diversity, such as competition and predation, remained undetermined in these studies, to a large extent, landscape characteristics influence butterfly richness and abundance in different geographic areas ( Öckinger et al 2006 ; Öckinger et al 2009 ). Spatial scale differences in butterfly diversity can be attributed to heterogeneity at the landscape level, while timescale differences can be attributed to changes in climatic conditions at both local and regional scales ( Mukherjee et al 2015 ). In the current context, it can be assumed that butterfly diversity varies in the four sampling sites as a matter of differences in pollutants concentration and composition of vegetation.…”

Section: Discussionmentioning

confidence: 99%

“…Studies on species diversity in urban ecosystems with air pollution problems are necessary to understand the effect of anthropogenic development on the integrity and livelihood of the ecosystem ( Mukherjee et al 2015 ). However, arthropods in such environments are poorly studied despite being crucial components and indicators of urban ecosystems and biodiversity ( McIntyre 2000 ; Magle et al 2012 ; Bonebrake and Cooper 2014 ).…”

Section: Introductionmentioning

confidence: 99%

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Composition and diversity of butterflies (Lepidoptera, Papilionoidea) along an atmospheric pollution gradient in the Monterrey Metropolitan Area, Mexico

Meléndez-Jaramillo¹,

Cantú-Ayala²,

Garza³

et al. 2021

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This study compares the variation of richness, abundance and diversity of butterfly species along an atmospheric pollution gradient and during different seasons in the Monterrey Metropolitan Area, Mexico. Likewise, we analyse the influence of environmental variables on the abundance and richness of butterfly species and quantify the indicator species for each atmospheric pollution category. Based on spatial analysis of the main atmospheric pollutants and the vegetation cover conditions, four permanent sampling sites were delimited. The sampling was carried out monthly in each of the sites using aerial entomological nets and ten Van Someren-Rydon traps during May 2018 to April 2019. A total of 8,570 specimens belonging to six families and 209 species were collected. Both species richness and abundance were significantly different between all sites, except for the comparison between the moderate contamination site and the high contamination site; diversity decreased significantly with increasing levels of contamination. The seasonality effect was absent on species richness; however, for species abundance the differences between dry season and rainy season were significant in each site excepting the moderate contamination site. Regarding diversity, the seasonal effect showed different distribution patterns according to each order. Relative humidity, vegetation cover and three pollution variables were highly correlated with both abundance and species richness. From the total number of species found, only 47 had a significant indicator value. This study constitutes the first faunistic contribution of butterflies as indicators of the environmental quality of urban areas in Mexico, which will help in the development of strategies for the management, planning and conservation of urban biodiversity.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Composition and diversity of butterflies (Lepidoptera, Papilionoidea) along an atmospheric pollution gradient in the Monterrey Metropolitan Area, Mexico

Meléndez-Jaramillo¹,

Cantú-Ayala²,

Garza³

et al. 2021

View full text Add to dashboard Cite

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“…Shannon information function ( H ), species richness ( S ), and Evenness ( E ) also can be used in ecological studies for SHE analysis, which examines the relationship among S , H , and E in the samples [ 31 ]. In this case, H = ln S + ln E and this decomposition formula expresses that relationship in one plot with three variables/curves that are plotted against the abundance ( N ) of the sample [ 42 , 43 , 44 ]. At the same time, these variables form linear trends on a log scale, and when N accumulates with each sample, S usually increases [ 42 ].…”

Section: Discussionmentioning

confidence: 99%

The impact of sewage sludge on the fungal communities in the rhizosphere and roots of barley and on barley yield

et al. 2021

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Current problems with sewage sludge (SS) disposal could be solved by application to agricultural land considering its fertilizer properties and ability to improve soil condition. However, SS may contain heavy metals as well as pathogenic microorganisms. In this study, molecular analysis of partial 18S rRNA gene was used to study the impact of SS application into the soil on the genetic diversity of fungal communities, especially arbuscular mycorrhizal fungi in the rhizosphere and roots of barley. These samples were collected on three dates from the control soil without SS and from the soil with the addition of SS at the concentrations of 5 and 15 t ha−1. Fungal alpha diversity in the rhizosphere of barley was affected by SS differently than in barley roots. In addition, principal component analysis and cluster analysis revealed that fungal communities were strongly influenced by the SS addition into the soil, sample type, and the sampling date. This approach was complemented by an evaluation of the basic parameters of barley production and the response of these parameters to the presence of SS in the soil. The plant height increased with increasing SS concentration and the thousand seed weight significantly increased at the concentration of 5 t ha−1 SS but significantly decreased in 15 t ha−1.

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“…To obtain the diversity indices of bird abundance, the data taken from each study site from three areas (U, SU and R) were analyzed separately by using Biodiversity Pro software (McAleece et al 1997, Biodiversity Professional; Scottish Association for Marine Science and the Natural History Museum, London, UK). Species richness (S) was calculated by summing the number of different species present in that area (Mukherjee et al 2015, Issa 2019). Diversity of species was represented by calculating Shannon diversity index [H'=-∑ (P i ln P i )], Simpson's Index of diversity , where P i is the proportion of total samples belonging to the i th species, n is the total number of birds belongs to a particular species and N includes the total number of birds of all species (Magurran 1988).…”

Section: Discussionmentioning

confidence: 99%

Bird species assemblages in railway stations: variations along an urban-rural gradient

et al. 2020

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The transportation infrastructures like railway tracks and roads bear negative impacts on natural environment. However, the opposite effects are also true in some instances where the man-made constructions have positive effect on faunal assemblages. This proposition was justified through the assessment of bird species using railway stations as model man-made structures in an urban-rural gradient, in the suburbs of Kolkata, India. During the entire study period along nine different railway stations, a total of 43 bird species belonging to 12 orders and 26 families were observed. Among these, the order Passeriformes was predominant in its species composition having 18 different species from 11 different families. In urban railway stations, a total of 23 bird species under 22 genera and 14 families were observed. In suburban railway stations, a total of 35 bird species under 32 genera and 22 families were documented. The railway stations from rural region showed the maximum number of species and abundance of bird families, where a total of 36 bird species under 32 genera and 23 families were observed. The railway stations from the suburban and rural regions were more similar in species composition. Irrespective of the locations, during the entire study period, the House Crow (Corvus splendens) was the dominant species followed by the Common Myna (Acridotheres tristis). About 18 bird species exhibited a decreasing population trend observed through the global population trend analysis. In all the railway stations, the abundance of omnivores were dominant while, the number of granivores were higher in the rural regions and the nectarivores were absent in the urban regions. It was apparent that the railway stations bear a positive effect on the bird species assemblages, which can be sustained through proper environmental management planning inclusive of urban greening.

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Butterfly diversity in Kolkata, India: An appraisal for conservation management

Cited by 32 publications

References 42 publications

Composition and diversity of butterflies (Lepidoptera, Papilionoidea) along an atmospheric pollution gradient in the Monterrey Metropolitan Area, Mexico

Composition and diversity of butterflies (Lepidoptera, Papilionoidea) along an atmospheric pollution gradient in the Monterrey Metropolitan Area, Mexico

The impact of sewage sludge on the fungal communities in the rhizosphere and roots of barley and on barley yield

Bird species assemblages in railway stations: variations along an urban-rural gradient

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