Lots of movement, little progress: a review of reptile home range literature

PeerJ

article

Matthew Crane¹  Inês Silva²  Benjamin M. Marshall⁴  Colin T. Strine⁴ 

[1] Conservation Ecology Program, King Mongkut’s Institute of Technology Thonburi;Center for Advanced Systems Understanding;Helmholtz-Zentrum Dresden-Rossendorf;School of Biology, Suranaree University of Technology

关键词: Home range;    Reptiles;    Open science;    Reproducibility;    Biotelemetry;    Space use;    Spatial ecology;   

DOI  :  10.7717/peerj.11742

学科分类：社会科学、人文和艺术（综合）

来源: Inra

【 摘 要 】

Reptiles are the most species-rich terrestrial vertebrate group with a broad diversity of life history traits. Biotelemetry is an essential methodology for studying reptiles as it compensates for several limitations when studying their natural history. We evaluated trends in terrestrial reptile spatial ecology studies focusing upon quantifying home ranges for the past twenty years. We assessed 290 English-language reptile home range studies published from 2000–2019 via a structured literature review investigating publications’ study location, taxonomic group, methodology, reporting, and analytical techniques. Substantial biases remain in both location and taxonomic groups in the literature, with nearly half of all studies (45%) originating from the USA. Snakes were most often studied, and crocodiles were least often studied, while testudines tended to have the greatest within study sample sizes. More than half of all studies lacked critical methodological details, limiting the number of studies for inclusion in future meta-analyses (55% of studies lacked information on individual tracking durations, and 51% lacked sufficient information on the number of times researchers recorded positions). Studies continue to rely on outdated methods to quantify space-use (including Minimum Convex Polygons and Kernel Density Estimators), often failing to report subtleties regarding decisions that have substantial impact on home range area estimates. Moving forward researchers can select a suite of appropriate analytical techniques tailored to their research question (dynamic Brownian Bridge Movement Models for within sample interpolation, and autocorrelated Kernel Density Estimators for beyond sample extrapolation). Only 1.4% of all evaluated studies linked to available and usable telemetry data, further hindering scientific consensus. We ultimately implore herpetologists to adopt transparent reporting practices and make liberal use of open data platforms to maximize progress in the field of reptile spatial ecology.

【 授权许可】

CC BY