SSARP: An R Package for Easily Creating Species- and Speciation- Area Relationships Using Web Databases DOI Creative Commons
Kristen M. Martinet, Cristian Román‐Palacios, Luke J. Harmon

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 2, 2025

Abstract A universal method of quantifying patterns biodiversity on islands is the species-area relationship (SAR). SARs visualize between species richness (the number species) and area land mass which they live. An extension this visualization, speciation-area (SpAR), helps researchers determine trends in speciation rate over a set masses. Comparing these relationships across island systems globally an extremely difficult task because gathering processing large amount occurrence data often requires to conduct lengthy literature searches combine datasets from several different sources. Here we present SSARP (Species/Speciation-Area Relationship Projector), R package that provides simple workflow for creating SpARs. The allows users gather GBIF, use mapping tools whether GPS points refer valid masses, associate those masses with their areas using built-in dataset names areas, create linear segmented regression. also multiple functions estimating rates SpAR. Using dramatically increase scope research through creation SpARs globe.

Language: Английский

SSARP: An R Package for Easily Creating Species- and Speciation- Area Relationships Using Web Databases DOI Creative Commons
Kristen M. Martinet, Cristian Román‐Palacios, Luke J. Harmon

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 2, 2025

Abstract A universal method of quantifying patterns biodiversity on islands is the species-area relationship (SAR). SARs visualize between species richness (the number species) and area land mass which they live. An extension this visualization, speciation-area (SpAR), helps researchers determine trends in speciation rate over a set masses. Comparing these relationships across island systems globally an extremely difficult task because gathering processing large amount occurrence data often requires to conduct lengthy literature searches combine datasets from several different sources. Here we present SSARP (Species/Speciation-Area Relationship Projector), R package that provides simple workflow for creating SpARs. The allows users gather GBIF, use mapping tools whether GPS points refer valid masses, associate those masses with their areas using built-in dataset names areas, create linear segmented regression. also multiple functions estimating rates SpAR. Using dramatically increase scope research through creation SpARs globe.

Language: Английский

Citations

0