Bats in Mediterranean agroecosystems: the role of crop type and landscape heterogeneity

Published: 19 February 2025| Version 1 | DOI: 10.17632/bv4knw3zhp.1
Contributors:
Orly Razgour,

Description

Bat activity and environmental data collected from 72 sampled agricultural fields across the Mediterranean regions of Israel and the statistical model output results.

Files

Steps to reproduce

1) File: med_bat_agri_data.csv Description: A .csv file (med_bat_agri_data.csv) containing the data collected from the sampled agricultural fields on bat acoustic data, site characteristics and wide landscape characteristics around the sites. The following site specific variables are including: site code, sampling date, location (lat, long), crop type grown in the field, field size (meters squared), crop height (cm), agriculture type (organic versus conventional), area type (orchard versus open), altitude, and temperature (monthly average). The following wider landscape variables (5 km buffers around the sampling site) are included: water (distance to nearest water source), NDVI (Normalized Difference Vegetation Index for the specific month and year), percent urban, forest, crop and orchard cover, and landscape diversity (Shannon Index). The following bat acoustic data are included: species richness (number of species recorded in the site), total bat activity, activity of clutter, edge and open foragers, and activity of individual bat species, Eptesicus serotinus, Pipipstrellus kuhlii, Pipistrellus pipistrellus, Hypsugo savii, Taphozous perforates, Tadarida teniotis, Myotis species, Miniopterus schreibersii, Otonycteris hemprichii, Rhinopoma microphyllum, Rhinopoma cystops, Rhinolophus hipposideros, Rhinolophus ferrumequinum, Rhinolophus euryale, and Rhinolophus blasii. 2) Nine .csv files containing the results of the statistical model comparison analysis for total bat activity, activity of clutter, edge and open space foragers, activity of Eptesicus serotinus, Hypsugo savii, Pipistrellus kuhlii and Pipistrellus pipistrellus, and bat species richness. Variables (Intercept): model intercept agri_type: model result if included in the mode, if not NA area_type: model result if included in the mode, if not NA percent_crop: model result if included in the mode, if not NA crop_type: model result if included in the mode, if not NA percent_forest: model result if included in the mode, if not NA crop_height: model result if included in the mode, if not NA ndvi: model result if included in the mode, if not NA landscape_diversity: model result if included in the mode, if not NA field_size: model result if included in the mode, if not NA temp: model result if included in the mode, if not NA percent_urban: model result if included in the mode, if not NA water: model result if included in the mode, if not NA zero_(Intercept): the zero intercept for a zero inflated model, where applicable df: degrees of freedom of the model logLik: model log likelihood scores AICc: model AICc scores delta: depta AICc from top model weight: model weight

Institutions

Categories

Acoustics, Mediterranean Region, Ecosystem Services, Agricultural Land, Bat

Funders

Licence