Large mammals in Israel from camera traps
Citation
Dorman M (2016). Large mammals in Israel from camera traps. Version 1.5. Hamaarag. Sampling event dataset https://doi.org/10.15468/7cozwv accessed via GBIF.org on 2024-09-01.Description
Observations of large mammals composed from camera traps. The monitoring array takes place in 11 monitoring units, while some of the larger units are further divided into subunits (different geographical regions) or habitats (different ecosystems). In some of the units the effect of proximity to man-made elements was also evaluated; in such cases there are also distinct sample sites near and far from the studied effect (e.g. settlements). Each unit x subunit x habitat x proximity combination usually contains 5 monitoring sites. In each such site, we positioned a transect of 900 m of 9 camera traps (with 100 m gaps) for about 10 days. All mammal photos were identified and grouped into observation events (represented by rows in the data file); an observation event is a set adjacent photos of the same species. Occupancy and activity levels estimates derived from HAMAARAG's large mammals monitoring program data play an important role in acting as indicators for trends in biodiversity, habitat change and climate change. New collaborations are extremely valuable to make the most of the data. Researchers are welcome to contact the dataset creator to collaborate on comparative analyses and meta-analysis.Purpose
The main objective of the scheme is to provide a systematic and recurrent assessment on the state of large mammals populations in several of the main habitat types in Israel, for both conservation and research purposes.Sampling Description
Study Extent
The monitoring array takes place in 11 monitoring units, while some of the larger units are further divided into subunits (different geographical regions) or habitats (different ecosystems). In some of the units the effect of proximity to man-made elements was also evaluated; in such cases there are also distinct sample sites near and far from the studied effect (e.g. settlements). Each unit x subunit x habitat x proximity combination usually contains 5 monitoring sites.Sampling
In each such site, we positioned a transect of 900 m of 9 camera traps (with 100 m gaps) for about 10 days. All mammal photos were identified and grouped into observation events (represented by rows in the attached file); an observation event is a set of adjacent photos of the same species.Quality Control
Each identification (scientific name) is matched against the GBIF Backbone Taxonomy as a quality control to make sure that each identification is correct.Method steps
- In each such site, we positioned a transect of 900 m of 9 camera traps (with 100 m gaps) for about 10 days.
- All mammal photos were identified and grouped into observation events (represented by rows in the data file); an observation event is a set adjacent photos of the same species.
- To the data file, added the spatial location (taken from the camera position, and averaged per site in this particular version), the time of the event and an individual count.
Taxonomic Coverages
Large mammals
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Mammaliacommon name: mammals rank: class
Geographic Coverages
Israel
Bibliographic Citations
Contacts
Michael Dormanoriginator
position: Quantitative Ecologist
HaMaarag
Jerusalem
91391
IL
Telephone: +972-72-2222912
email: michael.dorman@hamaarag.org.il
homepage: http://www.hamaarag.org.il
Michael Dorman
metadata author
position: Quantitative Ecologist
HaMaarag
Jerusalem
91391
IL
Telephone: +972-72-2222912
email: michael.dorman@hamaarag.org.il
homepage: http://www.hamaarag.org.il
Kyle Braak
processor
GBIF
DK
email: kbraak@gbif.org
userId: http://orcid.org/0000-0002-3696-3496
Michael Dorman
administrative point of contact
position: Quantitative Ecologist
HaMaarag
Jerusalem
91391
IL
Telephone: +972-72-2222912
email: michael.dorman@hamaarag.org.il
homepage: http://www.hamaarag.org.il