Thermal pace-of-life strategies improve phenological predictions in ectotherms

Abstract Phenological variability among populations is widespread in nature. A few predictive phenological models integrate intrapopulational variability, but none has ever explored the individual strategies potentially occurring within a population. The “pace-of-life” syndrome accounts for such ind...

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Autores principales:	Quentin Struelens, François Rebaudo, Reinaldo Quispe, Olivier Dangles
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Phenological Predictions Fasting Individuals Subsequent Life Stages Thermal Performance Curves (TPC) Development Accumulation Process Medicine R Science Q
Acceso en línea:	https://doaj.org/article/8d741f9e7e5b43a6a0f06eb2e9ec2390
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spelling	oai:doaj.org-article:8d741f9e7e5b43a6a0f06eb2e9ec23902021-12-02T15:07:44ZThermal pace-of-life strategies improve phenological predictions in ectotherms10.1038/s41598-018-34274-12045-2322https://doaj.org/article/8d741f9e7e5b43a6a0f06eb2e9ec23902018-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-34274-1https://doaj.org/toc/2045-2322Abstract Phenological variability among populations is widespread in nature. A few predictive phenological models integrate intrapopulational variability, but none has ever explored the individual strategies potentially occurring within a population. The “pace-of-life” syndrome accounts for such individual strategies, but has yet to be explored under a phenological context. Here we integrated, for the first time, the slow-fast thermal strategies stemming from the “pace-of-life” into a mechanistic predictive framework. We obtained 4619 phenological observations of an important crop pest in the Bolivian Andes by individually following 840 individuals under five rearing temperatures and across nine life stages. The model calibrated with the observed individual “pace-of-life” strategies showed a higher accuracy in phenological predictions than when accounting for intrapopulational variability alone. We further explored our framework with generated data and suggest that ectotherm species with a high number of life stages and with slow and/or fast individuals should exhibit a greater variance of populational phenology, resulting in a potentially longer time window of interaction with other species. We believe that the “pace-of-life” framework is a promising approach to improve phenological prediction across a wide array of species.Quentin StruelensFrançois RebaudoReinaldo QuispeOlivier DanglesNature PortfolioarticlePhenological PredictionsFasting IndividualsSubsequent Life StagesThermal Performance Curves (TPC)Development Accumulation ProcessMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-9 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Phenological Predictions Fasting Individuals Subsequent Life Stages Thermal Performance Curves (TPC) Development Accumulation Process Medicine R Science Q
spellingShingle	Phenological Predictions Fasting Individuals Subsequent Life Stages Thermal Performance Curves (TPC) Development Accumulation Process Medicine R Science Q Quentin Struelens François Rebaudo Reinaldo Quispe Olivier Dangles Thermal pace-of-life strategies improve phenological predictions in ectotherms
description	Abstract Phenological variability among populations is widespread in nature. A few predictive phenological models integrate intrapopulational variability, but none has ever explored the individual strategies potentially occurring within a population. The “pace-of-life” syndrome accounts for such individual strategies, but has yet to be explored under a phenological context. Here we integrated, for the first time, the slow-fast thermal strategies stemming from the “pace-of-life” into a mechanistic predictive framework. We obtained 4619 phenological observations of an important crop pest in the Bolivian Andes by individually following 840 individuals under five rearing temperatures and across nine life stages. The model calibrated with the observed individual “pace-of-life” strategies showed a higher accuracy in phenological predictions than when accounting for intrapopulational variability alone. We further explored our framework with generated data and suggest that ectotherm species with a high number of life stages and with slow and/or fast individuals should exhibit a greater variance of populational phenology, resulting in a potentially longer time window of interaction with other species. We believe that the “pace-of-life” framework is a promising approach to improve phenological prediction across a wide array of species.
format	article
author	Quentin Struelens François Rebaudo Reinaldo Quispe Olivier Dangles
author_facet	Quentin Struelens François Rebaudo Reinaldo Quispe Olivier Dangles
author_sort	Quentin Struelens
title	Thermal pace-of-life strategies improve phenological predictions in ectotherms
title_short	Thermal pace-of-life strategies improve phenological predictions in ectotherms
title_full	Thermal pace-of-life strategies improve phenological predictions in ectotherms
title_fullStr	Thermal pace-of-life strategies improve phenological predictions in ectotherms
title_full_unstemmed	Thermal pace-of-life strategies improve phenological predictions in ectotherms
title_sort	thermal pace-of-life strategies improve phenological predictions in ectotherms
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/8d741f9e7e5b43a6a0f06eb2e9ec2390
work_keys_str_mv	AT quentinstruelens thermalpaceoflifestrategiesimprovephenologicalpredictionsinectotherms AT francoisrebaudo thermalpaceoflifestrategiesimprovephenologicalpredictionsinectotherms AT reinaldoquispe thermalpaceoflifestrategiesimprovephenologicalpredictionsinectotherms AT olivierdangles thermalpaceoflifestrategiesimprovephenologicalpredictionsinectotherms
_version_	1718388402369331200

Thermal pace-of-life strategies improve phenological predictions in ectotherms

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