Demographic buffering in natural populations: multi-level
perspective
A manuscript in preparation for submission to ECOLOGY LETTERS
Type of article: METHOD
Gabriel Silva Santos 1,2*, Samuel J L
Gascoigne3*, André Tavares Corrêa
Dias4, Maja Kajin3,5**♦, Roberto
Salguero-Gómez3♦
1 National Institute of the Atlantic Forest (INMA),
29650-000, Santa Teresa, Espírito Santo, Brazil.
ssantos.gabriel@gmail.com
2 Department of Ecology, Graduate Program in Ecology
and Evolution, Rio de Janeiro
State University, 524 São Francisco Xavier Street, 20550-900, Maracanã,
Rio de Janeiro, Brazil.
3 Department of Biology, University of Oxford, South
Parks Road, OX1 3RB, Oxford, UK. samuel.gascoigne@pmb.ox.ac.uk,
rob.salguero@biology.ox.ac.uk
4 Department of Ecology, Institute of Biology,
Universidade Federal do Rio de Janeiro, Avenida Carlos Chagas Filho 373,
21941-590 Rio de Janeiro, RJ, Brazil. atcdias@gmail.com
5 Chair of Zoology, Department of Biology,
Biotechnical Faculty, University of Ljubljana, Večna pot 111, 1000
Ljubljana, Slovenia. maja.kajin@bf.uni-lj.si
*Shared first authorship
**Corresponding author
♦Shared senior authorship
AUTHOR CONTRIBUTIONS: GSS developed the initial concept, performed the
statistical analyses, and contributed to the first draft of the
manuscript. SJLG developed the initial concept, contributed to the first
draft and all other versions of the manuscript, and generated final
figures. ATCD co-advised the project and contributed significantly to
final versions of the manuscript. MK developed and managed the project,
contributed to the first draft and all other versions of the manuscript,
and generated final figures. RSG developed and managed the project and
contributed to the first draft and all other versions of the manuscript.
All authors made substantial contributions to editing the manuscript and
further refining ideas and interpretations.
RUNNING TITLE: Demographic buffering framework (32/45 characters)
KEYWORDS: COMADRE Animal Matrix Database, elasticity, life-history
evolution, natural selection, second-order derivative, sensitivity,
stochasticity, variance.
NUMBER OF WORDS: Abstract – 147/150 words, main text (excluding
abstract, acknowledgements, references, table, and figure legends) –
5134/5000 words
NUMBER OF REFERENCES: 93
NUMBER OF TABLES: 2 (in Supplementary Material)
NUMBER OF FIGURES: 3