Exploring the consequences of reducing survey effort for detecting individual and temporal variability in survival
1. Long-term monitoring programmes often involve substantial input of skilled staff time. In mark–recapture studies, considerable effort is usually devoted to both marking and recaptur- ing/resighting individuals. Given increasing budgetary constraints, it is essential to streamline field protocols...
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Online Access: | https://kar.kent.ac.uk/41240/ https://doi.org/10.1111/1365-2664.12214 |
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ftkentuniv:oai:kar.kent.ac.uk:41240 2023-05-15T15:56:01+02:00 Exploring the consequences of reducing survey effort for detecting individual and temporal variability in survival Lahoz-Monfort, Jose J. Harris, Michael P. Morgan, Byron J. T. Freeman, Stephen N. Wanless, Sarah 2014 https://kar.kent.ac.uk/41240/ https://doi.org/10.1111/1365-2664.12214 unknown Blackwell Lahoz-Monfort, Jose J., Harris, Michael P., Morgan, Byron J. T., Freeman, Stephen N., Wanless, Sarah (2014) Exploring the consequences of reducing survey effort for detecting individual and temporal variability in survival. Journal of Applied Ecology, 51 (2). pp. 534-543. ISSN 0021-8901. (doi:10.1111/1365-2664.12214 <https://doi.org/10.1111/1365-2664.12214>) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:41240 </41240>) QA276 Mathematical statistics QH541 Ecology QL Zoology Article PeerReviewed 2014 ftkentuniv https://doi.org/10.1111/1365-2664.12214 2023-03-12T19:03:29Z 1. Long-term monitoring programmes often involve substantial input of skilled staff time. In mark–recapture studies, considerable effort is usually devoted to both marking and recaptur- ing/resighting individuals. Given increasing budgetary constraints, it is essential to streamline field protocols to minimize data redundancy while still achieving targets such as detecting trends or ecological effects. 2. We evaluated different levels of field effort investment in marking and resighting individu- als by resampling existing mark–recapture–recovery data to construct plausible scenarios of changes in field protocols. We demonstrate the method with 26 years data from a common guillemot Uria aalge monitoring programme at a major North Sea colony. We also assess the impact of stopping the ringing of chicks on our ability to study population demography using integrated population models (IPM) fitted to data including information on breeding adults. Different data sets were removed artificially to explore the ability to compensate for missing data. 3. Current ringing effort at this colony appears adequate but resighting effort could be halved while still maintaining the capacity to monitor first-year survival and detect the effect of hatch date on survival prospects. 4. The IPM appears robust for estimating survival, productivity or abundance of the breed- ing population, but has limited capacity to recover year-specific first-year survival when chick data are omitted. If productivity were not monitored, the inclusion of chick data would be essential to estimate it, albeit imprecisely. 5. Synthesis and applications. Post-study evaluation can help streamline existing long-term environmental monitoring programmes. To our knowledge, this study is the first use of data thinning of existing mark–recapture–recovery data to identify potential field effort reductions. We also highlight how alternative monitoring scenarios can be evaluated with integrated pop- ulation models when data are collected on different aspects of ... Article in Journal/Newspaper common guillemot Uria aalge uria University of Kent: KAR - Kent Academic Repository Journal of Applied Ecology 51 2 534 543 |
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Open Polar |
collection |
University of Kent: KAR - Kent Academic Repository |
op_collection_id |
ftkentuniv |
language |
unknown |
topic |
QA276 Mathematical statistics QH541 Ecology QL Zoology |
spellingShingle |
QA276 Mathematical statistics QH541 Ecology QL Zoology Lahoz-Monfort, Jose J. Harris, Michael P. Morgan, Byron J. T. Freeman, Stephen N. Wanless, Sarah Exploring the consequences of reducing survey effort for detecting individual and temporal variability in survival |
topic_facet |
QA276 Mathematical statistics QH541 Ecology QL Zoology |
description |
1. Long-term monitoring programmes often involve substantial input of skilled staff time. In mark–recapture studies, considerable effort is usually devoted to both marking and recaptur- ing/resighting individuals. Given increasing budgetary constraints, it is essential to streamline field protocols to minimize data redundancy while still achieving targets such as detecting trends or ecological effects. 2. We evaluated different levels of field effort investment in marking and resighting individu- als by resampling existing mark–recapture–recovery data to construct plausible scenarios of changes in field protocols. We demonstrate the method with 26 years data from a common guillemot Uria aalge monitoring programme at a major North Sea colony. We also assess the impact of stopping the ringing of chicks on our ability to study population demography using integrated population models (IPM) fitted to data including information on breeding adults. Different data sets were removed artificially to explore the ability to compensate for missing data. 3. Current ringing effort at this colony appears adequate but resighting effort could be halved while still maintaining the capacity to monitor first-year survival and detect the effect of hatch date on survival prospects. 4. The IPM appears robust for estimating survival, productivity or abundance of the breed- ing population, but has limited capacity to recover year-specific first-year survival when chick data are omitted. If productivity were not monitored, the inclusion of chick data would be essential to estimate it, albeit imprecisely. 5. Synthesis and applications. Post-study evaluation can help streamline existing long-term environmental monitoring programmes. To our knowledge, this study is the first use of data thinning of existing mark–recapture–recovery data to identify potential field effort reductions. We also highlight how alternative monitoring scenarios can be evaluated with integrated pop- ulation models when data are collected on different aspects of ... |
format |
Article in Journal/Newspaper |
author |
Lahoz-Monfort, Jose J. Harris, Michael P. Morgan, Byron J. T. Freeman, Stephen N. Wanless, Sarah |
author_facet |
Lahoz-Monfort, Jose J. Harris, Michael P. Morgan, Byron J. T. Freeman, Stephen N. Wanless, Sarah |
author_sort |
Lahoz-Monfort, Jose J. |
title |
Exploring the consequences of reducing survey effort for detecting individual and temporal variability in survival |
title_short |
Exploring the consequences of reducing survey effort for detecting individual and temporal variability in survival |
title_full |
Exploring the consequences of reducing survey effort for detecting individual and temporal variability in survival |
title_fullStr |
Exploring the consequences of reducing survey effort for detecting individual and temporal variability in survival |
title_full_unstemmed |
Exploring the consequences of reducing survey effort for detecting individual and temporal variability in survival |
title_sort |
exploring the consequences of reducing survey effort for detecting individual and temporal variability in survival |
publisher |
Blackwell |
publishDate |
2014 |
url |
https://kar.kent.ac.uk/41240/ https://doi.org/10.1111/1365-2664.12214 |
genre |
common guillemot Uria aalge uria |
genre_facet |
common guillemot Uria aalge uria |
op_relation |
Lahoz-Monfort, Jose J., Harris, Michael P., Morgan, Byron J. T., Freeman, Stephen N., Wanless, Sarah (2014) Exploring the consequences of reducing survey effort for detecting individual and temporal variability in survival. Journal of Applied Ecology, 51 (2). pp. 534-543. ISSN 0021-8901. (doi:10.1111/1365-2664.12214 <https://doi.org/10.1111/1365-2664.12214>) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:41240 </41240>) |
op_doi |
https://doi.org/10.1111/1365-2664.12214 |
container_title |
Journal of Applied Ecology |
container_volume |
51 |
container_issue |
2 |
container_start_page |
534 |
op_container_end_page |
543 |
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1766391498007379968 |