DEBBIES Dataset to study Life Histories across Ectotherms

被引：0

作者：

Smallegange, Isabel M. ^{[1
]}

Lucas, Sol ^{[1
]}

机构：

[1] Newcastle Univ, Sch Nat & Environm Sci, Newcastle upon Tyne NE1 7RU, England

来源：

SCIENTIFIC DATA | 2024年 / 11卷 / 01期

关键词：

FAST-SLOW CONTINUUM; REPRODUCTIVE-BIOLOGY; SHARK; CONSEQUENCES; ENVIRONMENTS; SENSITIVITY; MANAGEMENT; DYNAMICS; TRAITS; MODELS;

D O I：

10.1038/s41597-024-02986-x

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Demographic models are used to explore how life history traits structure life history strategies across species. This study presents the DEBBIES dataset that contains estimates of eight life history traits (length at birth, puberty and maximum length, maximum reproduction rate, fraction energy allocated to respiration versus reproduction, von Bertalanffy growth rate, mortality rates) for 185 ectotherm species. The dataset can be used to parameterise dynamic energy budget integral projection models (DEB-IPMs) to calculate key demographic quantities like population growth rate and demographic resilience, but also link to conservation status or biogeographical characteristics. Our technical validation shows a satisfactory agreement between observed and predicted longevity, generation time, age at maturity across all species. Compared to existing datasets, DEBBIES accommodates (i) easy cross-taxonomical comparisons, (ii) many data-deficient species, and (iii) population forecasts to novel conditions because DEB-IPMs include a mechanistic description of the trade-off between growth and reproduction. This dataset has the potential for biologists to unlock general predictions on ectotherm population responses from only a few key life history traits.

引用

页数：10

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