2019
DOI: 10.1007/s11252-019-00876-4
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Sparrows in urban complexity: macro and micro-scale habitat use of sympatric sparrows in Guwahati City, India

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Cited by 18 publications
(13 citation statements)
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“…We retained the variables that better explained the parameter of interest based on: ecological relevance, correspondence with earlier studies, ease in data collection across the study areas, and simplest in explanation of the model outcomes (parsimony). Prior to modelling, all continuous site covariates were scaled, (x -x ̅ )/SDx, to facilitate estimation of parameters using numerical optimization techniques and to make estimates comparable between parameters (Sunarto et al 2012;Nath et al 2019b;Jornburom et al 2020).…”
Section: Discussionmentioning
confidence: 99%
“…We retained the variables that better explained the parameter of interest based on: ecological relevance, correspondence with earlier studies, ease in data collection across the study areas, and simplest in explanation of the model outcomes (parsimony). Prior to modelling, all continuous site covariates were scaled, (x -x ̅ )/SDx, to facilitate estimation of parameters using numerical optimization techniques and to make estimates comparable between parameters (Sunarto et al 2012;Nath et al 2019b;Jornburom et al 2020).…”
Section: Discussionmentioning
confidence: 99%
“…of single & multistoried house, no. of tin and concrete roof) (for details see Nath et al 2019). Before performing PCA analysis, we transformed all the variables into Z-score.…”
Section: Discussionmentioning
confidence: 99%
“…We used the radiation measurements of the maximum average for ve minutes in the V/m unit. Subsequently, we also collected microhabitat information of 12 ecologically important (see Nath et al 2019) variables on each sample location: distance to closest green patch-delineated the boundary of nearest green patch using Google Earth and measured the closest distance of the boundary of the patch from the center of the 30 m radius circle; (ii) green cover-digitized green cover (tree + grass cover) using Google Earth; (iii) grass cover-we used handheld laser range nder and Google Earth to estimate the percent grass cover; (iv) Plant diversity-counted the number of individuals of plant species (trees and sapling) and calculated Shannon (H´) diversity index (v) distance to closest marketplace-generated the center point of the open market places (open daily markets, congested areas with hotel restaurants, shopping malls, crowded places nearby busstops and railway station etc.) and measured the distance from the center point of 30 m radius circle; (vi) Food shops-number of hotels, restaurants, grocery shops within the 30 m radius.…”
Section: Methodsmentioning
confidence: 99%
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“…We used the generalized linear model (hereafter GLM) to test our hypothesis (Guisan et al 2002, Zhao et al 2017. Prior to run analysis, we reduce multicollinearity and remove highly correlated predictor variables (r > 70%) using the spearman rank correlation test (Nath et al 2019). Leopard and lion independent captures at each site were used as response variable while variables defined in section ecological and anthropological variables were used as a predictor variables.…”
Section: Discussionmentioning
confidence: 99%