Fixed-plot monitoring as a tool to assess population trends of underground nesting seabirds: an example with Cory’s Shearwater at its world’s largest colony Article Swipe
Paulo Catry
,
Maria P. Dias
,
Dília Menezes
,
Paulo Oliveira
,
Daniel Lopes
,
Maria Alho
,
Letizia Campioni
,
Teresa Catry
,
Marie Claire Gatt
,
Francesco Ventura
,
Joana Romero
,
José P. Granadeiro
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1017/s095927092400039x
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1017/s095927092400039x
Summary Medium to small petrels that mostly nest in burrows or crevices represent a large fraction of the world’s seabirds, yet their population trends are largely unknown. This lack of knowledge, which has implications for conservation planning, results mostly from methodological difficulties and from the approaches that have been used for their monitoring. Here, we present the surveying scheme created to monitor Cory’s Shearwater Calonectris borealis breeding numbers at their largest known colony, Selvagem Grande (Portugal). We defined 60 circular plots at fixed locations on this 2.45 km 2 island and counted nests with eggs annually at the end of laying. Results show that the population increased at 1.45% (95% confidence interval [CI]: 0.72–2.01%) per year between 2009 and 2023. We estimate that the current population size is 38,830 pairs (95% quantile CIs = 34,373–43,713). To the best of our knowledge, this study provides the first systematic information (using fully repeatable methods and providing CIs for the estimates) on population trends of Cory’s Shearwaters, one of the most abundant seabirds in the warm temperate and subtropical North Atlantic and one of the most studied petrels globally. Monitoring using the approach detailed here requires two days of work (by 2–3 persons) per year. Our results and simulations indicate that this is a powerful methodology, with narrow confidence limits for estimated trends and an ability to detect small population changes over short time spans. We suggest that more monitoring protocols similar to this one (with necessary site-specific adaptations, particularly for potential colony expansion where suitable habitat exists) should be developed and implemented in a range of colonies with crevice and burrowing nesting petrels to improve our knowledge on the population status of a broad fraction of the world’s seabirds.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1017/s095927092400039x
- OA Status
- gold
- References
- 27
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4406624213
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4406624213Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1017/s095927092400039xDigital Object Identifier
- Title
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Fixed-plot monitoring as a tool to assess population trends of underground nesting seabirds: an example with Cory’s Shearwater at its world’s largest colonyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-01-01Full publication date if available
- Authors
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Paulo Catry, Maria P. Dias, Dília Menezes, Paulo Oliveira, Daniel Lopes, Maria Alho, Letizia Campioni, Teresa Catry, Marie Claire Gatt, Francesco Ventura, Joana Romero, José P. GranadeiroList of authors in order
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https://doi.org/10.1017/s095927092400039xPublisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://hdl.handle.net/10400.5/97808Direct OA link when available
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Shearwater, Geography, Nesting (process), Population, Fishery, Ecology, Seabird, Biology, Engineering, Demography, Predation, Sociology, Mechanical engineeringTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.nest | 7 |
| abstract_inverted_index.over | 228 |
| abstract_inverted_index.show | 102 |
| abstract_inverted_index.size | 126 |
| abstract_inverted_index.that | 5, 46, 103, 122, 207, 234 |
| abstract_inverted_index.this | 85, 141, 208, 240 |
| abstract_inverted_index.time | 230 |
| abstract_inverted_index.used | 49 |
| abstract_inverted_index.warm | 172 |
| abstract_inverted_index.with | 93, 213, 265 |
| abstract_inverted_index.work | 196 |
| abstract_inverted_index.year | 115 |
| abstract_inverted_index.(with | 242 |
| abstract_inverted_index.1.45% | 108 |
| abstract_inverted_index.2023. | 119 |
| abstract_inverted_index.2–3 | 198 |
| abstract_inverted_index.Here, | 53 |
| abstract_inverted_index.North | 176 |
| abstract_inverted_index.[CI]: | 112 |
| abstract_inverted_index.broad | 281 |
| abstract_inverted_index.first | 145 |
| abstract_inverted_index.fixed | 82 |
| abstract_inverted_index.fully | 149 |
| abstract_inverted_index.known | 71 |
| abstract_inverted_index.large | 14 |
| abstract_inverted_index.nests | 92 |
| abstract_inverted_index.pairs | 129 |
| abstract_inverted_index.plots | 80 |
| abstract_inverted_index.range | 262 |
| abstract_inverted_index.short | 229 |
| abstract_inverted_index.small | 3, 225 |
| abstract_inverted_index.study | 142 |
| abstract_inverted_index.their | 21, 51, 69 |
| abstract_inverted_index.using | 187 |
| abstract_inverted_index.where | 251 |
| abstract_inverted_index.which | 31 |
| abstract_inverted_index.year. | 201 |
| abstract_inverted_index.(using | 148 |
| abstract_inverted_index.38,830 | 128 |
| abstract_inverted_index.Grande | 74 |
| abstract_inverted_index.Medium | 1 |
| abstract_inverted_index.colony | 249 |
| abstract_inverted_index.detect | 224 |
| abstract_inverted_index.island | 89 |
| abstract_inverted_index.limits | 216 |
| abstract_inverted_index.mostly | 6, 38 |
| abstract_inverted_index.narrow | 214 |
| abstract_inverted_index.scheme | 58 |
| abstract_inverted_index.should | 255 |
| abstract_inverted_index.spans. | 231 |
| abstract_inverted_index.status | 278 |
| abstract_inverted_index.trends | 23, 160, 219 |
| abstract_inverted_index.Results | 101 |
| abstract_inverted_index.Summary | 0 |
| abstract_inverted_index.ability | 222 |
| abstract_inverted_index.between | 116 |
| abstract_inverted_index.burrows | 9 |
| abstract_inverted_index.changes | 227 |
| abstract_inverted_index.colony, | 72 |
| abstract_inverted_index.counted | 91 |
| abstract_inverted_index.created | 59 |
| abstract_inverted_index.crevice | 266 |
| abstract_inverted_index.current | 124 |
| abstract_inverted_index.defined | 77 |
| abstract_inverted_index.exists) | 254 |
| abstract_inverted_index.habitat | 253 |
| abstract_inverted_index.improve | 272 |
| abstract_inverted_index.largely | 25 |
| abstract_inverted_index.largest | 70 |
| abstract_inverted_index.laying. | 100 |
| abstract_inverted_index.methods | 151 |
| abstract_inverted_index.monitor | 61 |
| abstract_inverted_index.nesting | 269 |
| abstract_inverted_index.numbers | 67 |
| abstract_inverted_index.petrels | 4, 184, 270 |
| abstract_inverted_index.present | 55 |
| abstract_inverted_index.results | 37, 203 |
| abstract_inverted_index.similar | 238 |
| abstract_inverted_index.studied | 183 |
| abstract_inverted_index.suggest | 233 |
| abstract_inverted_index.Atlantic | 177 |
| abstract_inverted_index.Cory’s | 62, 162 |
| abstract_inverted_index.Selvagem | 73 |
| abstract_inverted_index.abundant | 168 |
| abstract_inverted_index.annually | 95 |
| abstract_inverted_index.approach | 189 |
| abstract_inverted_index.borealis | 65 |
| abstract_inverted_index.breeding | 66 |
| abstract_inverted_index.circular | 79 |
| abstract_inverted_index.colonies | 264 |
| abstract_inverted_index.crevices | 11 |
| abstract_inverted_index.detailed | 190 |
| abstract_inverted_index.estimate | 121 |
| abstract_inverted_index.fraction | 15, 282 |
| abstract_inverted_index.indicate | 206 |
| abstract_inverted_index.interval | 111 |
| abstract_inverted_index.persons) | 199 |
| abstract_inverted_index.powerful | 211 |
| abstract_inverted_index.provides | 143 |
| abstract_inverted_index.quantile | 131 |
| abstract_inverted_index.requires | 192 |
| abstract_inverted_index.seabirds | 169 |
| abstract_inverted_index.suitable | 252 |
| abstract_inverted_index.unknown. | 26 |
| abstract_inverted_index.burrowing | 268 |
| abstract_inverted_index.developed | 257 |
| abstract_inverted_index.estimated | 218 |
| abstract_inverted_index.expansion | 250 |
| abstract_inverted_index.globally. | 185 |
| abstract_inverted_index.increased | 106 |
| abstract_inverted_index.knowledge | 274 |
| abstract_inverted_index.locations | 83 |
| abstract_inverted_index.necessary | 243 |
| abstract_inverted_index.planning, | 36 |
| abstract_inverted_index.potential | 248 |
| abstract_inverted_index.protocols | 237 |
| abstract_inverted_index.providing | 153 |
| abstract_inverted_index.represent | 12 |
| abstract_inverted_index.seabirds, | 19 |
| abstract_inverted_index.seabirds. | 286 |
| abstract_inverted_index.surveying | 57 |
| abstract_inverted_index.temperate | 173 |
| abstract_inverted_index.world’s | 18, 285 |
| abstract_inverted_index.Monitoring | 186 |
| abstract_inverted_index.Shearwater | 63 |
| abstract_inverted_index.approaches | 45 |
| abstract_inverted_index.confidence | 110, 215 |
| abstract_inverted_index.estimates) | 157 |
| abstract_inverted_index.knowledge, | 30, 140 |
| abstract_inverted_index.monitoring | 236 |
| abstract_inverted_index.population | 22, 105, 125, 159, 226, 277 |
| abstract_inverted_index.repeatable | 150 |
| abstract_inverted_index.systematic | 146 |
| abstract_inverted_index.(Portugal). | 75 |
| abstract_inverted_index.Calonectris | 64 |
| abstract_inverted_index.implemented | 259 |
| abstract_inverted_index.information | 147 |
| abstract_inverted_index.monitoring. | 52 |
| abstract_inverted_index.simulations | 205 |
| abstract_inverted_index.subtropical | 175 |
| abstract_inverted_index.Shearwaters, | 163 |
| abstract_inverted_index.adaptations, | 245 |
| abstract_inverted_index.conservation | 35 |
| abstract_inverted_index.difficulties | 41 |
| abstract_inverted_index.implications | 33 |
| abstract_inverted_index.methodology, | 212 |
| abstract_inverted_index.particularly | 246 |
| abstract_inverted_index.0.72–2.01%) | 113 |
| abstract_inverted_index.site-specific | 244 |
| abstract_inverted_index.methodological | 40 |
| abstract_inverted_index.34,373–43,713). | 134 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 12 |
| citation_normalized_percentile.value | 0.01619977 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |