Quantifying earthworm species richness in the pineapple and mixed fruit plantations of West Tripura, India – A non-parametric approach

Dey, Animesh; Chaudhuri, Priyasankar

doi:10.1016/j.ejsobi.2013.08.001

Cited by 4 publications

(3 citation statements)

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“…In this case, Chao 2 estimator can be considered best suited for the present data set since it reached a stable asymptote earlier than the sample-based rarefaction curve [41] and the asymptote (13 species) was reached approximately after 83% of total sampling effort, the value of which was higher than other estimators [90]. Comparable results were obtained in other studies on both macro-and microorganisms with unequal catchability [21,91,92]. A great advantage of Chao 2 richness estimator is that it relies not on the precise abundance values of individuals and number of singletons and doubletons but on uniques and duplicates [60].…”

Section: Discussionsupporting

confidence: 67%

“…A total of 40 widely separated 10 m × 10 m plots were randomly selected for sampling in study site. A composite sample comprising five TSBF soil monoliths (25 cm × 25 cm × 40 cm) were taken from the centre and 4 corners of each sampling plot [21]. Thus, a total of 120 samples (600 TSBF monoliths) were taken from each sampling site.…”

Section: Experimental Designmentioning

confidence: 99%

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Species Richness, Community Organization, and Spatiotemporal Distribution of Earthworms in the Pineapple Agroecosystems of Tripura, India

Dey

Chaudhuri

2016

International Journal of Ecology

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The impact that plant communities may have on underground faunal diversity is unclear. Therefore, understanding the links between plants and organisms is of major interest. Earthworm population dynamics were studied in the pineapple agroecosystems of Tripura to evaluate the impact of monoculture plantation on earthworm communities. A total of thirteen earthworm species belonging to four families and five genera were collected from different sampling sites. Application of sample-based rarefaction curve and nonparametric richness estimators reveal 90–95% completeness of sampling. Earthworm community of pineapple agroecosystems was dominated by endogeic earthworms andDrawida assamensiswas the dominant species with respect to its density, biomass, and relative abundance. Vertical distribution of earthworms was greatly influenced by seasonal variations. Population density and biomass of earthworms peaked during monsoon and postmonsoon period, respectively. Overall density and biomass of earthworms were in increasing trend with an increase in plantation age and were highest in the 30–35-year-old plantation. Significant decrease in the Shannon diversity and evenness index and increase in Simpson’s dominance and spatial aggregation index with an increase in the age of pineapple plantation were recorded. Soil temperature and soil moisture were identified as the most potent regulators of earthworm distribution in the pineapple plantation.

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Section: Discussionsupporting

confidence: 67%

Section: Experimental Designmentioning

confidence: 99%

Species Richness, Community Organization, and Spatiotemporal Distribution of Earthworms in the Pineapple Agroecosystems of Tripura, India

Dey

Chaudhuri

2016

International Journal of Ecology

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“…He concluded that Chao 2 appeared to be more precise compared to the other estimators used. Recently, Dey and Chaudhuri (2013) used 6 different nonparametric richness estimators (Chao 1, Chao 2, ACE, ICE, Jackknife 1, and Jackknife 2) in comparative analysis of earthworm species richness between 2 types of plantations in India. They recommend that the Chao 2 richness estimator be applied.…”

Section: Nonparametric Estimator Performancementioning

confidence: 99%