Published February 6, 2023 | Version v1

Exploring spatiotemporal dynamics of flower visitor association pattern on two Avicennia mangroves: A network approach

  • 1. Department of Zoology, University of Kalyani
  • 2. RKMVC College, Rahara, Khardaha, West Bengal, Pin- 700118, India,

Description

All the data sets used in the analyses of this study are provided here along with the R-Script.
The datasets for foraging behaviour and Generalized linear mixed models will be provided upon request to the first or corresponding author of this article.

Please note that, in this R-script, we have shown the codes only for one dataset of respective analyses.
PLEASE NOTE: In this R-script, there are two minor mistakes, as follows:
1) Line no. 46
Present code:
nulls <- nullmodel(I_S.network, N=1000, method=3) ##(3=Vaznull) ## file name mistake
Correct code: nulls <- nullmodel(AO_Site, N=1000, method=3) ##(3=Vaznull)

2) Line no. 55
Present code: AO_Site_V<-AM_Site[,-1] ##Omitting individual coloumn(species) ## file name mistake
Correct code: AO_Site_V<-AO_Site[,-1] ##Omitting individual coloumn(species)

  • Description of the data set

Data explorers the plant-flower visitor network with spatiotemporal approaches. Here, AM denotes Avicennia marina and AO denotes Avicennia officinalis. For the overall site-visitor network (combining all years and all time frames) datasets are AO_Site and AM_Site.

For the overall visiting time-visitor network (combining all years and all sites) the datasets are AO_Time and AM_Time

For the site-visitor networks on the yearly scale, the datasets are AO_2016, AO_2017, AO_2018, AM_2016, AM_2017 and AM_2018.

For the site-specific visiting time-visitor networks the datasets are AO_Satjelia, AO_Bali, AO_Sagar, AO_Bakkhali, AM_Satjelia, AM_Bali, AM_Sagar and AM_Bakkhali.

Files

AM_2016.csv

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