Detection probability for estimating bird density on New Zealand sheep & beef farms
Factors influencing detection probability in line transect distance sampling were investigated to estimate the abundance of four common farmland birds on 12 sheep & beef farms in the South Island of New Zealand. Our primary aim was to evaluate the necessity of employing distance methods to corre...
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ftunivotagoour:oai:ourarchive.otago.ac.nz:10523/5341 2023-05-15T13:10:06+02:00 Detection probability for estimating bird density on New Zealand sheep & beef farms Weller, Florian Blackwell, Grant Moller, Henrik 2014-12-05T02:13:27Z http://hdl.handle.net/10523/5341 en eng New Zealand Ecological Society New Zealand Journal of Ecology http://search.proquest.com/docview/1032966365?accountid=14700 0110-6465 http://hdl.handle.net/10523/5341 © New Zealand Ecological Society 2012 detectability distance sampling farm management systems farmland birds multiple covariate modelling Journal Article 2014 ftunivotagoour 2022-05-16T22:12:34Z Factors influencing detection probability in line transect distance sampling were investigated to estimate the abundance of four common farmland birds on 12 sheep & beef farms in the South Island of New Zealand. Our primary aim was to evaluate the necessity of employing distance methods to correct for heterogeneity in detection probability. Detections of skylark Alauda arvensis, blackbird Turdus merula, song thrush Turdus philomelos, and Australian magpie Gymnorhina tibicen were recorded using ten 500-m unbounded line transects on each of 9-10 visits, and modelled using multiple covariate distance sampling methods. Covariates of detectability played a strong role in model fitting, but showed few consistent directional trends within species. Increased woody vegetation cover on farms greatly decreased detectability, while few seasonal or geographical effects were found. No detectability differences were found between farms using certified organic, integrated management or conventional farming systems, indicating that bird population dynamics might be compared between systems using simpler index counts. However, unless detectability parameters can be standardised to a high degree within a survey, we recommend the use of analysis methods that incorporate heterogeneity in detection probability. Peer Reviewed Article in Journal/Newspaper Alauda arvensis University of Otago: Research Archive (OUR Archive) New Zealand |
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Open Polar |
collection |
University of Otago: Research Archive (OUR Archive) |
op_collection_id |
ftunivotagoour |
language |
English |
topic |
detectability distance sampling farm management systems farmland birds multiple covariate modelling |
spellingShingle |
detectability distance sampling farm management systems farmland birds multiple covariate modelling Weller, Florian Blackwell, Grant Moller, Henrik Detection probability for estimating bird density on New Zealand sheep & beef farms |
topic_facet |
detectability distance sampling farm management systems farmland birds multiple covariate modelling |
description |
Factors influencing detection probability in line transect distance sampling were investigated to estimate the abundance of four common farmland birds on 12 sheep & beef farms in the South Island of New Zealand. Our primary aim was to evaluate the necessity of employing distance methods to correct for heterogeneity in detection probability. Detections of skylark Alauda arvensis, blackbird Turdus merula, song thrush Turdus philomelos, and Australian magpie Gymnorhina tibicen were recorded using ten 500-m unbounded line transects on each of 9-10 visits, and modelled using multiple covariate distance sampling methods. Covariates of detectability played a strong role in model fitting, but showed few consistent directional trends within species. Increased woody vegetation cover on farms greatly decreased detectability, while few seasonal or geographical effects were found. No detectability differences were found between farms using certified organic, integrated management or conventional farming systems, indicating that bird population dynamics might be compared between systems using simpler index counts. However, unless detectability parameters can be standardised to a high degree within a survey, we recommend the use of analysis methods that incorporate heterogeneity in detection probability. Peer Reviewed |
format |
Article in Journal/Newspaper |
author |
Weller, Florian Blackwell, Grant Moller, Henrik |
author_facet |
Weller, Florian Blackwell, Grant Moller, Henrik |
author_sort |
Weller, Florian |
title |
Detection probability for estimating bird density on New Zealand sheep & beef farms |
title_short |
Detection probability for estimating bird density on New Zealand sheep & beef farms |
title_full |
Detection probability for estimating bird density on New Zealand sheep & beef farms |
title_fullStr |
Detection probability for estimating bird density on New Zealand sheep & beef farms |
title_full_unstemmed |
Detection probability for estimating bird density on New Zealand sheep & beef farms |
title_sort |
detection probability for estimating bird density on new zealand sheep & beef farms |
publisher |
New Zealand Ecological Society |
publishDate |
2014 |
url |
http://hdl.handle.net/10523/5341 |
geographic |
New Zealand |
geographic_facet |
New Zealand |
genre |
Alauda arvensis |
genre_facet |
Alauda arvensis |
op_relation |
New Zealand Journal of Ecology http://search.proquest.com/docview/1032966365?accountid=14700 0110-6465 http://hdl.handle.net/10523/5341 |
op_rights |
© New Zealand Ecological Society 2012 |
_version_ |
1766214853535465472 |