Pulse-discharges of mining wastes into a coastal lagoon: Water chemistry and toxicity

There is increasing interest in understanding how to retain wildlife in agricultural landscapes, thereby contributing to global biodiversity conservation efforts. Here we investigate the drivers of European badger (Meles meles) occurrence in Mediterranean farmland. The badger is a generalist mammalian carnivore usually associated to native woodland and shrubland, so we hypothesised that its occurrence in Mediterranean farmland should be favoured by substitute habitats such as forestry plantations, and negatively affected by areas more heavily used by humans such as paved roads. The study was conducted in SW Portugal, where we surveyed for badgers presence signs (latrines, footprints, setts) along transects located at 60 3.14-km2 circles scattered through the landscape, each of which surveyed in spring (March-May), summer (July-August) and autumn (September-October). Occupancy-detection models were used to quantify the effect of environmental variables on badger occupancy probability, while controlling for imperfect detection. Badger detection probability was positively affected by the density of dirt roads, possibly reflecting a preference of badgers to mark along those structures. According to predictions, badger occupancy significantly increased with the amount of forestry plantations and arboreal hedgerows, while decreasing with increasing paved road density. Taken together, our results indicate that badger conservation in Mediterranean farmland under agricultural intensification should require the protection of areas with low paved road density, and the retention of wood cover, even where these are highly-modified habitats such as forest plantations and arboreal hedgerows.

Data and Resources

This dataset has no data

Metadata

Basic information
Resource type Text
Date of creation 2024-09-17
Date of last revision 2024-09-17
Show changelog
Metadata identifier 30af2e02-2035-50df-830e-527cf595ffb9
Metadata language Spanish
Themes (NTI-RISP)
High-value dataset category
ISO 19115 topic category
Other identifier DOI 10.1080/02757540701339422
Keyword URIs
Character encoding UTF-8
Spatial information
INSPIRE identifier ESPMITECOIEPNBMMENOR683
INSPIRE Themes
Geographic identifier Murcia
Coordinate Reference System
Spatial representation Type
Bounding Box
"{\"type\": \"Polygon\", \"coordinates\": [[[-2.34, 37.38], [-0.69, 37.38], [-0.69, 38.76], [-2.34, 38.76], [-2.34, 37.38]]]}"
Spatial resolution of the dataset (m)
Provenance
Lineage statement
Metadata Standard
Conformity
Source dataset
Update frequency
Sources
  1. Chemistry and Ecology
  2. vol 23
  3. no 3
Purpose
Process steps
Temporal extent (Start)
Temporal extent (End)
Version notes
Version
Dataset validity
Responsible Party
Name of the dataset creator Marin-Guirao, L., Lloret, J., Marin, A., Garcia, G. y Garcia Fernandez, A.J.
Name of the dataset maintainer
Identifier of the dataset creator
Email of the dataset creator lamarin@um.es
Website of the dataset creator
Identifier of the dataset maintainer
Email of the dataset maintainer
Website of the dataset maintainer