Advancing Ecosystem-Based Management implementation for Coastal Resilience. A case study research about cross-sectoral interplay in the Social-Ecological System of the Mar Menor

Roads have multiple effects on wildlife, from animal mortality, habitat and population fragmentation, to modification of animal reproductive behaviour. Monitoring roadkill is expensive and time-consuming, and depend mainly on volunteers. Thus, cheap, easy to implement, and automatic methods for detecting roadkill over larger areas and over time are necessary. We present results from the research project Life LINES, where we developed a cheap and efficient system for detecting amphibians and small birds roadkill using computer vision techniques. We present here the Mobile Mapping System 2, an improved version of the Mobile Mapping System 1 developed during the Roadkill-project and presented in previous IENE congresses. We have successfully reduced the size and energetic consumption of the MMS, so now the device can be attached directly to the back of any car. The MMS2 is composed by several cameras (multi-spectral, visual with 3D laser technology, and high definition). The algorithms were trained with previous collected pictures of road-killed amphibians and small birds. We have tested all images using the Haar Cascade algorithm from the OpenCV library, which provided high rate classification results. We tested the MMS2 in three conditions: a control test with plastic models of amphibians and birds in a small road; a control test with collection specimens of amphibians and birds; and a real test on a 30 km road survey in Southern Portugal. The MMS2 has been developed using low cost components with the idea of saving funds, time and personal resources for wildlife preservation.

Data and Resources

Metadata
Download
DCAT-AP/NTI-RISP

Basic information
Resource type Text
Date of creation 2024-09-17
Date of last revision 2024-09-17
Show changelog
Metadata identifier 5a415c7d-47e9-5fee-ad9b-4fd2cb2379e6
Metadata language Spanish
Themes (NTI-RISP)
High-value dataset category
ISO 19115 topic category biota
Other identifier
Keyword URIs
Character encoding UTF-8
Spatial information
INSPIRE identifier ESPMITECOIEPNBMMENOR655
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
Purpose
Process steps
Temporal extent (Start)
Temporal extent (End)
Version notes
Version
Dataset validity
Responsible Party
Name of the dataset creator Moragues Pitarch, M.
Name of the dataset maintainer
Identifier of the dataset creator
Email of the dataset creator
Website of the dataset creator
Identifier of the dataset maintainer
Email of the dataset maintainer
Website of the dataset maintainer