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 recapturing/resighting individuals. Given increasing budgetary constraints, it is essential to streamline field protocols to...
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ftnerc:oai:nora.nerc.ac.uk:504803 2023-05-15T15:56:01+02:00 Exploring the consequences of reducing survey effort for detecting individual and temporal variability in survival Lahoz-Montfort, José J. Harris, Michael P. Morgan, Byron J.T. Freeman, Stephen N. Wanless, Sarah 2014-04 text http://nora.nerc.ac.uk/id/eprint/504803/ https://nora.nerc.ac.uk/id/eprint/504803/1/N504803PP.pdf http://onlinelibrary.wiley.com/doi/10.1111/1365-2664.12214/abstract en eng Wiley/BES https://nora.nerc.ac.uk/id/eprint/504803/1/N504803PP.pdf Lahoz-Montfort, José 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). 534-543. https://doi.org/10.1111/1365-2664.12214 <https://doi.org/10.1111/1365-2664.12214> Ecology and Environment Publication - Article PeerReviewed 2014 ftnerc https://doi.org/10.1111/1365-2664.12214 2023-02-04T19:38:38Z 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 recapturing/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 individuals 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 breeding 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 population models when data are collected on different aspects of demography and ... Article in Journal/Newspaper common guillemot Uria aalge uria Natural Environment Research Council: NERC Open Research Archive Journal of Applied Ecology 51 2 534 543 |
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Open Polar |
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Natural Environment Research Council: NERC Open Research Archive |
op_collection_id |
ftnerc |
language |
English |
topic |
Ecology and Environment |
spellingShingle |
Ecology and Environment Lahoz-Montfort, José 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 |
Ecology and Environment |
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 recapturing/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 individuals 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 breeding 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 population models when data are collected on different aspects of demography and ... |
format |
Article in Journal/Newspaper |
author |
Lahoz-Montfort, José J. Harris, Michael P. Morgan, Byron J.T. Freeman, Stephen N. Wanless, Sarah |
author_facet |
Lahoz-Montfort, José J. Harris, Michael P. Morgan, Byron J.T. Freeman, Stephen N. Wanless, Sarah |
author_sort |
Lahoz-Montfort, José 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 |
Wiley/BES |
publishDate |
2014 |
url |
http://nora.nerc.ac.uk/id/eprint/504803/ https://nora.nerc.ac.uk/id/eprint/504803/1/N504803PP.pdf http://onlinelibrary.wiley.com/doi/10.1111/1365-2664.12214/abstract |
genre |
common guillemot Uria aalge uria |
genre_facet |
common guillemot Uria aalge uria |
op_relation |
https://nora.nerc.ac.uk/id/eprint/504803/1/N504803PP.pdf Lahoz-Montfort, José 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). 534-543. https://doi.org/10.1111/1365-2664.12214 <https://doi.org/10.1111/1365-2664.12214> |
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 |
_version_ |
1766391497111896064 |