Overcoming field monitoring restraints in estimating marine turtle internesting period by modelling individual nesting behaviour using capture-mark-recapture data
• Marine turtles exhibit variation in clutch frequency at individual and population level. • The estimation of clutch frequency is essential for assessing the number of females in a population, and is dependent on the estimation of the internesting period. • Estimating the internesting period is cha...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Hancock, Joana [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2019transfer abstract |
|---|
| Schlagwörter: |
|---|
| Umfang: |
9 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Special issue on European Union: Markets and regulators editorial - Costa-Campi, M.T. ELSEVIER, 2016, international journal on ecological modelling and systems ecology, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:402 ; year:2019 ; day:24 ; month:06 ; pages:76-84 ; extent:9 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.ecolmodel.2019.04.013 |
|---|
| Katalog-ID: |
ELV047052465 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | ELV047052465 | ||
| 003 | DE-627 | ||
| 005 | 20230626014834.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 191021s2019 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.ecolmodel.2019.04.013 |2 doi | |
| 028 | 5 | 2 | |a GBV00000000000647.pica |
| 035 | |a (DE-627)ELV047052465 | ||
| 035 | |a (ELSEVIER)S0304-3800(19)30158-9 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 620 |q VZ |
| 082 | 0 | 4 | |a 610 |q VZ |
| 084 | |a 77.50 |2 bkl | ||
| 100 | 1 | |a Hancock, Joana |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Overcoming field monitoring restraints in estimating marine turtle internesting period by modelling individual nesting behaviour using capture-mark-recapture data |
| 264 | 1 | |c 2019transfer abstract | |
| 300 | |a 9 | ||
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a nicht spezifiziert |b z |2 rdamedia | ||
| 338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
| 520 | |a • Marine turtles exhibit variation in clutch frequency at individual and population level. • The estimation of clutch frequency is essential for assessing the number of females in a population, and is dependent on the estimation of the internesting period. • Estimating the internesting period is challenging due to variation in the individual behaviour of the nesting females and imprecise detection of females during beach monitoring. • We applied a behavioural model using capture-mark-recapture data of individual females to statistically characterize the nesting behaviour of two marine turtle nesting populations in the Eastern Atlantic. • The developed model allows the determination of the rank of a nest with high accuracy even when recapture rates are low or inconsistent for individual females. | ||
| 520 | |a • Marine turtles exhibit variation in clutch frequency at individual and population level. • The estimation of clutch frequency is essential for assessing the number of females in a population, and is dependent on the estimation of the internesting period. • Estimating the internesting period is challenging due to variation in the individual behaviour of the nesting females and imprecise detection of females during beach monitoring. • We applied a behavioural model using capture-mark-recapture data of individual females to statistically characterize the nesting behaviour of two marine turtle nesting populations in the Eastern Atlantic. • The developed model allows the determination of the rank of a nest with high accuracy even when recapture rates are low or inconsistent for individual females. | ||
| 650 | 7 | |a Eastern Atlantic |2 Elsevier | |
| 650 | 7 | |a <ce:italic>Lepidochelys olivacea</ce:italic> |2 Elsevier | |
| 650 | 7 | |a Nesting abortion |2 Elsevier | |
| 650 | 7 | |a Internesting period |2 Elsevier | |
| 650 | 7 | |a Iteroparity |2 Elsevier | |
| 650 | 7 | |a <ce:italic>Chelonia mydas</ce:italic> |2 Elsevier | |
| 700 | 1 | |a Vieira, Sara |4 oth | |
| 700 | 1 | |a Lima, Hipólito |4 oth | |
| 700 | 1 | |a Schmitt, Vanessa |4 oth | |
| 700 | 1 | |a Pereira, Jaconias |4 oth | |
| 700 | 1 | |a Rebelo, Rui |4 oth | |
| 700 | 1 | |a Girondot, Marc |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier Science |a Costa-Campi, M.T. ELSEVIER |t Special issue on European Union: Markets and regulators editorial |d 2016 |d international journal on ecological modelling and systems ecology |g Amsterdam [u.a.] |w (DE-627)ELV014034964 |
| 773 | 1 | 8 | |g volume:402 |g year:2019 |g day:24 |g month:06 |g pages:76-84 |g extent:9 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.ecolmodel.2019.04.013 |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a GBV_ELV | ||
| 912 | |a SYSFLAG_U | ||
| 912 | |a SSG-OLC-PHA | ||
| 936 | b | k | |a 77.50 |j Psychophysiologie |q VZ |
| 951 | |a AR | ||
| 952 | |d 402 |j 2019 |b 24 |c 0624 |h 76-84 |g 9 | ||
| author_variant |
j h jh |
|---|---|
| matchkey_str |
hancockjoanavieirasaralimahiplitoschmitt:2019----:vroigilmntrnrsritietmtnmrntrlitretnprobmdligniiuletn |
| hierarchy_sort_str |
2019transfer abstract |
| bklnumber |
77.50 |
| publishDate |
2019 |
| allfields |
10.1016/j.ecolmodel.2019.04.013 doi GBV00000000000647.pica (DE-627)ELV047052465 (ELSEVIER)S0304-3800(19)30158-9 DE-627 ger DE-627 rakwb eng 620 VZ 610 VZ 77.50 bkl Hancock, Joana verfasserin aut Overcoming field monitoring restraints in estimating marine turtle internesting period by modelling individual nesting behaviour using capture-mark-recapture data 2019transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Marine turtles exhibit variation in clutch frequency at individual and population level. • The estimation of clutch frequency is essential for assessing the number of females in a population, and is dependent on the estimation of the internesting period. • Estimating the internesting period is challenging due to variation in the individual behaviour of the nesting females and imprecise detection of females during beach monitoring. • We applied a behavioural model using capture-mark-recapture data of individual females to statistically characterize the nesting behaviour of two marine turtle nesting populations in the Eastern Atlantic. • The developed model allows the determination of the rank of a nest with high accuracy even when recapture rates are low or inconsistent for individual females. • Marine turtles exhibit variation in clutch frequency at individual and population level. • The estimation of clutch frequency is essential for assessing the number of females in a population, and is dependent on the estimation of the internesting period. • Estimating the internesting period is challenging due to variation in the individual behaviour of the nesting females and imprecise detection of females during beach monitoring. • We applied a behavioural model using capture-mark-recapture data of individual females to statistically characterize the nesting behaviour of two marine turtle nesting populations in the Eastern Atlantic. • The developed model allows the determination of the rank of a nest with high accuracy even when recapture rates are low or inconsistent for individual females. Eastern Atlantic Elsevier <ce:italic>Lepidochelys olivacea</ce:italic> Elsevier Nesting abortion Elsevier Internesting period Elsevier Iteroparity Elsevier <ce:italic>Chelonia mydas</ce:italic> Elsevier Vieira, Sara oth Lima, Hipólito oth Schmitt, Vanessa oth Pereira, Jaconias oth Rebelo, Rui oth Girondot, Marc oth Enthalten in Elsevier Science Costa-Campi, M.T. ELSEVIER Special issue on European Union: Markets and regulators editorial 2016 international journal on ecological modelling and systems ecology Amsterdam [u.a.] (DE-627)ELV014034964 volume:402 year:2019 day:24 month:06 pages:76-84 extent:9 https://doi.org/10.1016/j.ecolmodel.2019.04.013 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 77.50 Psychophysiologie VZ AR 402 2019 24 0624 76-84 9 |
| spelling |
10.1016/j.ecolmodel.2019.04.013 doi GBV00000000000647.pica (DE-627)ELV047052465 (ELSEVIER)S0304-3800(19)30158-9 DE-627 ger DE-627 rakwb eng 620 VZ 610 VZ 77.50 bkl Hancock, Joana verfasserin aut Overcoming field monitoring restraints in estimating marine turtle internesting period by modelling individual nesting behaviour using capture-mark-recapture data 2019transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Marine turtles exhibit variation in clutch frequency at individual and population level. • The estimation of clutch frequency is essential for assessing the number of females in a population, and is dependent on the estimation of the internesting period. • Estimating the internesting period is challenging due to variation in the individual behaviour of the nesting females and imprecise detection of females during beach monitoring. • We applied a behavioural model using capture-mark-recapture data of individual females to statistically characterize the nesting behaviour of two marine turtle nesting populations in the Eastern Atlantic. • The developed model allows the determination of the rank of a nest with high accuracy even when recapture rates are low or inconsistent for individual females. • Marine turtles exhibit variation in clutch frequency at individual and population level. • The estimation of clutch frequency is essential for assessing the number of females in a population, and is dependent on the estimation of the internesting period. • Estimating the internesting period is challenging due to variation in the individual behaviour of the nesting females and imprecise detection of females during beach monitoring. • We applied a behavioural model using capture-mark-recapture data of individual females to statistically characterize the nesting behaviour of two marine turtle nesting populations in the Eastern Atlantic. • The developed model allows the determination of the rank of a nest with high accuracy even when recapture rates are low or inconsistent for individual females. Eastern Atlantic Elsevier <ce:italic>Lepidochelys olivacea</ce:italic> Elsevier Nesting abortion Elsevier Internesting period Elsevier Iteroparity Elsevier <ce:italic>Chelonia mydas</ce:italic> Elsevier Vieira, Sara oth Lima, Hipólito oth Schmitt, Vanessa oth Pereira, Jaconias oth Rebelo, Rui oth Girondot, Marc oth Enthalten in Elsevier Science Costa-Campi, M.T. ELSEVIER Special issue on European Union: Markets and regulators editorial 2016 international journal on ecological modelling and systems ecology Amsterdam [u.a.] (DE-627)ELV014034964 volume:402 year:2019 day:24 month:06 pages:76-84 extent:9 https://doi.org/10.1016/j.ecolmodel.2019.04.013 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 77.50 Psychophysiologie VZ AR 402 2019 24 0624 76-84 9 |
| allfields_unstemmed |
10.1016/j.ecolmodel.2019.04.013 doi GBV00000000000647.pica (DE-627)ELV047052465 (ELSEVIER)S0304-3800(19)30158-9 DE-627 ger DE-627 rakwb eng 620 VZ 610 VZ 77.50 bkl Hancock, Joana verfasserin aut Overcoming field monitoring restraints in estimating marine turtle internesting period by modelling individual nesting behaviour using capture-mark-recapture data 2019transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Marine turtles exhibit variation in clutch frequency at individual and population level. • The estimation of clutch frequency is essential for assessing the number of females in a population, and is dependent on the estimation of the internesting period. • Estimating the internesting period is challenging due to variation in the individual behaviour of the nesting females and imprecise detection of females during beach monitoring. • We applied a behavioural model using capture-mark-recapture data of individual females to statistically characterize the nesting behaviour of two marine turtle nesting populations in the Eastern Atlantic. • The developed model allows the determination of the rank of a nest with high accuracy even when recapture rates are low or inconsistent for individual females. • Marine turtles exhibit variation in clutch frequency at individual and population level. • The estimation of clutch frequency is essential for assessing the number of females in a population, and is dependent on the estimation of the internesting period. • Estimating the internesting period is challenging due to variation in the individual behaviour of the nesting females and imprecise detection of females during beach monitoring. • We applied a behavioural model using capture-mark-recapture data of individual females to statistically characterize the nesting behaviour of two marine turtle nesting populations in the Eastern Atlantic. • The developed model allows the determination of the rank of a nest with high accuracy even when recapture rates are low or inconsistent for individual females. Eastern Atlantic Elsevier <ce:italic>Lepidochelys olivacea</ce:italic> Elsevier Nesting abortion Elsevier Internesting period Elsevier Iteroparity Elsevier <ce:italic>Chelonia mydas</ce:italic> Elsevier Vieira, Sara oth Lima, Hipólito oth Schmitt, Vanessa oth Pereira, Jaconias oth Rebelo, Rui oth Girondot, Marc oth Enthalten in Elsevier Science Costa-Campi, M.T. ELSEVIER Special issue on European Union: Markets and regulators editorial 2016 international journal on ecological modelling and systems ecology Amsterdam [u.a.] (DE-627)ELV014034964 volume:402 year:2019 day:24 month:06 pages:76-84 extent:9 https://doi.org/10.1016/j.ecolmodel.2019.04.013 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 77.50 Psychophysiologie VZ AR 402 2019 24 0624 76-84 9 |
| allfieldsGer |
10.1016/j.ecolmodel.2019.04.013 doi GBV00000000000647.pica (DE-627)ELV047052465 (ELSEVIER)S0304-3800(19)30158-9 DE-627 ger DE-627 rakwb eng 620 VZ 610 VZ 77.50 bkl Hancock, Joana verfasserin aut Overcoming field monitoring restraints in estimating marine turtle internesting period by modelling individual nesting behaviour using capture-mark-recapture data 2019transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Marine turtles exhibit variation in clutch frequency at individual and population level. • The estimation of clutch frequency is essential for assessing the number of females in a population, and is dependent on the estimation of the internesting period. • Estimating the internesting period is challenging due to variation in the individual behaviour of the nesting females and imprecise detection of females during beach monitoring. • We applied a behavioural model using capture-mark-recapture data of individual females to statistically characterize the nesting behaviour of two marine turtle nesting populations in the Eastern Atlantic. • The developed model allows the determination of the rank of a nest with high accuracy even when recapture rates are low or inconsistent for individual females. • Marine turtles exhibit variation in clutch frequency at individual and population level. • The estimation of clutch frequency is essential for assessing the number of females in a population, and is dependent on the estimation of the internesting period. • Estimating the internesting period is challenging due to variation in the individual behaviour of the nesting females and imprecise detection of females during beach monitoring. • We applied a behavioural model using capture-mark-recapture data of individual females to statistically characterize the nesting behaviour of two marine turtle nesting populations in the Eastern Atlantic. • The developed model allows the determination of the rank of a nest with high accuracy even when recapture rates are low or inconsistent for individual females. Eastern Atlantic Elsevier <ce:italic>Lepidochelys olivacea</ce:italic> Elsevier Nesting abortion Elsevier Internesting period Elsevier Iteroparity Elsevier <ce:italic>Chelonia mydas</ce:italic> Elsevier Vieira, Sara oth Lima, Hipólito oth Schmitt, Vanessa oth Pereira, Jaconias oth Rebelo, Rui oth Girondot, Marc oth Enthalten in Elsevier Science Costa-Campi, M.T. ELSEVIER Special issue on European Union: Markets and regulators editorial 2016 international journal on ecological modelling and systems ecology Amsterdam [u.a.] (DE-627)ELV014034964 volume:402 year:2019 day:24 month:06 pages:76-84 extent:9 https://doi.org/10.1016/j.ecolmodel.2019.04.013 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 77.50 Psychophysiologie VZ AR 402 2019 24 0624 76-84 9 |
| allfieldsSound |
10.1016/j.ecolmodel.2019.04.013 doi GBV00000000000647.pica (DE-627)ELV047052465 (ELSEVIER)S0304-3800(19)30158-9 DE-627 ger DE-627 rakwb eng 620 VZ 610 VZ 77.50 bkl Hancock, Joana verfasserin aut Overcoming field monitoring restraints in estimating marine turtle internesting period by modelling individual nesting behaviour using capture-mark-recapture data 2019transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Marine turtles exhibit variation in clutch frequency at individual and population level. • The estimation of clutch frequency is essential for assessing the number of females in a population, and is dependent on the estimation of the internesting period. • Estimating the internesting period is challenging due to variation in the individual behaviour of the nesting females and imprecise detection of females during beach monitoring. • We applied a behavioural model using capture-mark-recapture data of individual females to statistically characterize the nesting behaviour of two marine turtle nesting populations in the Eastern Atlantic. • The developed model allows the determination of the rank of a nest with high accuracy even when recapture rates are low or inconsistent for individual females. • Marine turtles exhibit variation in clutch frequency at individual and population level. • The estimation of clutch frequency is essential for assessing the number of females in a population, and is dependent on the estimation of the internesting period. • Estimating the internesting period is challenging due to variation in the individual behaviour of the nesting females and imprecise detection of females during beach monitoring. • We applied a behavioural model using capture-mark-recapture data of individual females to statistically characterize the nesting behaviour of two marine turtle nesting populations in the Eastern Atlantic. • The developed model allows the determination of the rank of a nest with high accuracy even when recapture rates are low or inconsistent for individual females. Eastern Atlantic Elsevier <ce:italic>Lepidochelys olivacea</ce:italic> Elsevier Nesting abortion Elsevier Internesting period Elsevier Iteroparity Elsevier <ce:italic>Chelonia mydas</ce:italic> Elsevier Vieira, Sara oth Lima, Hipólito oth Schmitt, Vanessa oth Pereira, Jaconias oth Rebelo, Rui oth Girondot, Marc oth Enthalten in Elsevier Science Costa-Campi, M.T. ELSEVIER Special issue on European Union: Markets and regulators editorial 2016 international journal on ecological modelling and systems ecology Amsterdam [u.a.] (DE-627)ELV014034964 volume:402 year:2019 day:24 month:06 pages:76-84 extent:9 https://doi.org/10.1016/j.ecolmodel.2019.04.013 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 77.50 Psychophysiologie VZ AR 402 2019 24 0624 76-84 9 |
| language |
English |
| source |
Enthalten in Special issue on European Union: Markets and regulators editorial Amsterdam [u.a.] volume:402 year:2019 day:24 month:06 pages:76-84 extent:9 |
| sourceStr |
Enthalten in Special issue on European Union: Markets and regulators editorial Amsterdam [u.a.] volume:402 year:2019 day:24 month:06 pages:76-84 extent:9 |
| format_phy_str_mv |
Article |
| bklname |
Psychophysiologie |
| institution |
findex.gbv.de |
| topic_facet |
Eastern Atlantic <ce:italic>Lepidochelys olivacea</ce:italic> Nesting abortion Internesting period Iteroparity <ce:italic>Chelonia mydas</ce:italic> |
| dewey-raw |
620 |
| isfreeaccess_bool |
false |
| container_title |
Special issue on European Union: Markets and regulators editorial |
| authorswithroles_txt_mv |
Hancock, Joana @@aut@@ Vieira, Sara @@oth@@ Lima, Hipólito @@oth@@ Schmitt, Vanessa @@oth@@ Pereira, Jaconias @@oth@@ Rebelo, Rui @@oth@@ Girondot, Marc @@oth@@ |
| publishDateDaySort_date |
2019-01-24T00:00:00Z |
| hierarchy_top_id |
ELV014034964 |
| dewey-sort |
3620 |
| id |
ELV047052465 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV047052465</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626014834.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">191021s2019 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.ecolmodel.2019.04.013</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBV00000000000647.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV047052465</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0304-3800(19)30158-9</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">77.50</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Hancock, Joana</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Overcoming field monitoring restraints in estimating marine turtle internesting period by modelling individual nesting behaviour using capture-mark-recapture data</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">9</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">• Marine turtles exhibit variation in clutch frequency at individual and population level. • The estimation of clutch frequency is essential for assessing the number of females in a population, and is dependent on the estimation of the internesting period. • Estimating the internesting period is challenging due to variation in the individual behaviour of the nesting females and imprecise detection of females during beach monitoring. • We applied a behavioural model using capture-mark-recapture data of individual females to statistically characterize the nesting behaviour of two marine turtle nesting populations in the Eastern Atlantic. • The developed model allows the determination of the rank of a nest with high accuracy even when recapture rates are low or inconsistent for individual females.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">• Marine turtles exhibit variation in clutch frequency at individual and population level. • The estimation of clutch frequency is essential for assessing the number of females in a population, and is dependent on the estimation of the internesting period. • Estimating the internesting period is challenging due to variation in the individual behaviour of the nesting females and imprecise detection of females during beach monitoring. • We applied a behavioural model using capture-mark-recapture data of individual females to statistically characterize the nesting behaviour of two marine turtle nesting populations in the Eastern Atlantic. • The developed model allows the determination of the rank of a nest with high accuracy even when recapture rates are low or inconsistent for individual females.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Eastern Atlantic</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a"><ce:italic>Lepidochelys olivacea</ce:italic></subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Nesting abortion</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Internesting period</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Iteroparity</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a"><ce:italic>Chelonia mydas</ce:italic></subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Vieira, Sara</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lima, Hipólito</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Schmitt, Vanessa</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pereira, Jaconias</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rebelo, Rui</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Girondot, Marc</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Costa-Campi, M.T. ELSEVIER</subfield><subfield code="t">Special issue on European Union: Markets and regulators editorial</subfield><subfield code="d">2016</subfield><subfield code="d">international journal on ecological modelling and systems ecology</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV014034964</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:402</subfield><subfield code="g">year:2019</subfield><subfield code="g">day:24</subfield><subfield code="g">month:06</subfield><subfield code="g">pages:76-84</subfield><subfield code="g">extent:9</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.ecolmodel.2019.04.013</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">77.50</subfield><subfield code="j">Psychophysiologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">402</subfield><subfield code="j">2019</subfield><subfield code="b">24</subfield><subfield code="c">0624</subfield><subfield code="h">76-84</subfield><subfield code="g">9</subfield></datafield></record></collection>
|
| author |
Hancock, Joana |
| spellingShingle |
Hancock, Joana ddc 620 ddc 610 bkl 77.50 Elsevier Eastern Atlantic Elsevier <ce:italic>Lepidochelys olivacea</ce:italic> Elsevier Nesting abortion Elsevier Internesting period Elsevier Iteroparity Elsevier <ce:italic>Chelonia mydas</ce:italic> Overcoming field monitoring restraints in estimating marine turtle internesting period by modelling individual nesting behaviour using capture-mark-recapture data |
| authorStr |
Hancock, Joana |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV014034964 |
| format |
electronic Article |
| dewey-ones |
620 - Engineering & allied operations 610 - Medicine & health |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
elsevier |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
620 VZ 610 VZ 77.50 bkl Overcoming field monitoring restraints in estimating marine turtle internesting period by modelling individual nesting behaviour using capture-mark-recapture data Eastern Atlantic Elsevier <ce:italic>Lepidochelys olivacea</ce:italic> Elsevier Nesting abortion Elsevier Internesting period Elsevier Iteroparity Elsevier <ce:italic>Chelonia mydas</ce:italic> Elsevier |
| topic |
ddc 620 ddc 610 bkl 77.50 Elsevier Eastern Atlantic Elsevier <ce:italic>Lepidochelys olivacea</ce:italic> Elsevier Nesting abortion Elsevier Internesting period Elsevier Iteroparity Elsevier <ce:italic>Chelonia mydas</ce:italic> |
| topic_unstemmed |
ddc 620 ddc 610 bkl 77.50 Elsevier Eastern Atlantic Elsevier <ce:italic>Lepidochelys olivacea</ce:italic> Elsevier Nesting abortion Elsevier Internesting period Elsevier Iteroparity Elsevier <ce:italic>Chelonia mydas</ce:italic> |
| topic_browse |
ddc 620 ddc 610 bkl 77.50 Elsevier Eastern Atlantic Elsevier <ce:italic>Lepidochelys olivacea</ce:italic> Elsevier Nesting abortion Elsevier Internesting period Elsevier Iteroparity Elsevier <ce:italic>Chelonia mydas</ce:italic> |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
s v sv h l hl v s vs j p jp r r rr m g mg |
| hierarchy_parent_title |
Special issue on European Union: Markets and regulators editorial |
| hierarchy_parent_id |
ELV014034964 |
| dewey-tens |
620 - Engineering 610 - Medicine & health |
| hierarchy_top_title |
Special issue on European Union: Markets and regulators editorial |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)ELV014034964 |
| title |
Overcoming field monitoring restraints in estimating marine turtle internesting period by modelling individual nesting behaviour using capture-mark-recapture data |
| ctrlnum |
(DE-627)ELV047052465 (ELSEVIER)S0304-3800(19)30158-9 |
| title_full |
Overcoming field monitoring restraints in estimating marine turtle internesting period by modelling individual nesting behaviour using capture-mark-recapture data |
| author_sort |
Hancock, Joana |
| journal |
Special issue on European Union: Markets and regulators editorial |
| journalStr |
Special issue on European Union: Markets and regulators editorial |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
600 - Technology |
| recordtype |
marc |
| publishDateSort |
2019 |
| contenttype_str_mv |
zzz |
| container_start_page |
76 |
| author_browse |
Hancock, Joana |
| container_volume |
402 |
| physical |
9 |
| class |
620 VZ 610 VZ 77.50 bkl |
| format_se |
Elektronische Aufsätze |
| author-letter |
Hancock, Joana |
| doi_str_mv |
10.1016/j.ecolmodel.2019.04.013 |
| dewey-full |
620 610 |
| title_sort |
overcoming field monitoring restraints in estimating marine turtle internesting period by modelling individual nesting behaviour using capture-mark-recapture data |
| title_auth |
Overcoming field monitoring restraints in estimating marine turtle internesting period by modelling individual nesting behaviour using capture-mark-recapture data |
| abstract |
• Marine turtles exhibit variation in clutch frequency at individual and population level. • The estimation of clutch frequency is essential for assessing the number of females in a population, and is dependent on the estimation of the internesting period. • Estimating the internesting period is challenging due to variation in the individual behaviour of the nesting females and imprecise detection of females during beach monitoring. • We applied a behavioural model using capture-mark-recapture data of individual females to statistically characterize the nesting behaviour of two marine turtle nesting populations in the Eastern Atlantic. • The developed model allows the determination of the rank of a nest with high accuracy even when recapture rates are low or inconsistent for individual females. |
| abstractGer |
• Marine turtles exhibit variation in clutch frequency at individual and population level. • The estimation of clutch frequency is essential for assessing the number of females in a population, and is dependent on the estimation of the internesting period. • Estimating the internesting period is challenging due to variation in the individual behaviour of the nesting females and imprecise detection of females during beach monitoring. • We applied a behavioural model using capture-mark-recapture data of individual females to statistically characterize the nesting behaviour of two marine turtle nesting populations in the Eastern Atlantic. • The developed model allows the determination of the rank of a nest with high accuracy even when recapture rates are low or inconsistent for individual females. |
| abstract_unstemmed |
• Marine turtles exhibit variation in clutch frequency at individual and population level. • The estimation of clutch frequency is essential for assessing the number of females in a population, and is dependent on the estimation of the internesting period. • Estimating the internesting period is challenging due to variation in the individual behaviour of the nesting females and imprecise detection of females during beach monitoring. • We applied a behavioural model using capture-mark-recapture data of individual females to statistically characterize the nesting behaviour of two marine turtle nesting populations in the Eastern Atlantic. • The developed model allows the determination of the rank of a nest with high accuracy even when recapture rates are low or inconsistent for individual females. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA |
| title_short |
Overcoming field monitoring restraints in estimating marine turtle internesting period by modelling individual nesting behaviour using capture-mark-recapture data |
| url |
https://doi.org/10.1016/j.ecolmodel.2019.04.013 |
| remote_bool |
true |
| author2 |
Vieira, Sara Lima, Hipólito Schmitt, Vanessa Pereira, Jaconias Rebelo, Rui Girondot, Marc |
| author2Str |
Vieira, Sara Lima, Hipólito Schmitt, Vanessa Pereira, Jaconias Rebelo, Rui Girondot, Marc |
| ppnlink |
ELV014034964 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth oth oth oth oth |
| doi_str |
10.1016/j.ecolmodel.2019.04.013 |
| up_date |
2024-07-06T21:50:30.639Z |
| _version_ |
1803868051224920064 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV047052465</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626014834.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">191021s2019 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.ecolmodel.2019.04.013</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBV00000000000647.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV047052465</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0304-3800(19)30158-9</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">77.50</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Hancock, Joana</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Overcoming field monitoring restraints in estimating marine turtle internesting period by modelling individual nesting behaviour using capture-mark-recapture data</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">9</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">• Marine turtles exhibit variation in clutch frequency at individual and population level. • The estimation of clutch frequency is essential for assessing the number of females in a population, and is dependent on the estimation of the internesting period. • Estimating the internesting period is challenging due to variation in the individual behaviour of the nesting females and imprecise detection of females during beach monitoring. • We applied a behavioural model using capture-mark-recapture data of individual females to statistically characterize the nesting behaviour of two marine turtle nesting populations in the Eastern Atlantic. • The developed model allows the determination of the rank of a nest with high accuracy even when recapture rates are low or inconsistent for individual females.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">• Marine turtles exhibit variation in clutch frequency at individual and population level. • The estimation of clutch frequency is essential for assessing the number of females in a population, and is dependent on the estimation of the internesting period. • Estimating the internesting period is challenging due to variation in the individual behaviour of the nesting females and imprecise detection of females during beach monitoring. • We applied a behavioural model using capture-mark-recapture data of individual females to statistically characterize the nesting behaviour of two marine turtle nesting populations in the Eastern Atlantic. • The developed model allows the determination of the rank of a nest with high accuracy even when recapture rates are low or inconsistent for individual females.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Eastern Atlantic</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a"><ce:italic>Lepidochelys olivacea</ce:italic></subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Nesting abortion</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Internesting period</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Iteroparity</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a"><ce:italic>Chelonia mydas</ce:italic></subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Vieira, Sara</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lima, Hipólito</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Schmitt, Vanessa</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pereira, Jaconias</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rebelo, Rui</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Girondot, Marc</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Costa-Campi, M.T. ELSEVIER</subfield><subfield code="t">Special issue on European Union: Markets and regulators editorial</subfield><subfield code="d">2016</subfield><subfield code="d">international journal on ecological modelling and systems ecology</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV014034964</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:402</subfield><subfield code="g">year:2019</subfield><subfield code="g">day:24</subfield><subfield code="g">month:06</subfield><subfield code="g">pages:76-84</subfield><subfield code="g">extent:9</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.ecolmodel.2019.04.013</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">77.50</subfield><subfield code="j">Psychophysiologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">402</subfield><subfield code="j">2019</subfield><subfield code="b">24</subfield><subfield code="c">0624</subfield><subfield code="h">76-84</subfield><subfield code="g">9</subfield></datafield></record></collection>
|
| score |
7.4020653 |