Spatial distribution of the Mexican daisy, Erigeron karvinskianus, in New Zealand under climate change
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Other Title
Authors
Hannah, L.
Aguilar, Glenn
Blanchon, Dan
Aguilar, Glenn
Blanchon, Dan
Author ORCID Profiles (clickable)
Degree
Grantor
Date
2019-01-30
Supervisors
Type
Journal Article
Ngā Upoko Tukutuku (Māori subject headings)
Keyword
New Zealand
Erigeron karvinskianus DC.
Mexican Daisy (Erigeron karvinskianus DC.)
weeds
invasive species
species distribution modeling
climate change
Erigeron karvinskianus DC.
Mexican Daisy (Erigeron karvinskianus DC.)
weeds
invasive species
species distribution modeling
climate change
ANZSRC Field of Research Code (2020)
Citation
Hannah, L., Aguilar, G., & Blanchon, D. (2019). Spatial Distribution of the Mexican Daisy, Erigeron karvinskianus, in New Zealand under Climate Change. Climate, 7, online. doi:doi:10.3390/cli7020024
Abstract
The invasive species Erigeron karvinskianus or Mexican daisy is considered a significant weed that impacts native forest restoration efforts in New Zealand. Mapping the potential distribution of this species under current and future predicted climatic conditions provides managers with relevant information for developing appropriate management strategies. Using occurrences available from global and local databases, spatial distribution characteristics were analyzed using geostatistical tools in ArcMap to characterize current distribution. Species distribution modeling (SDM) using Maxent was conducted to determine the potential spatial distribution of E. karvinskianus worldwide and in New Zealand with projections into future climate conditions. Potential habitat suitability under future climatic conditions were simulated using greenhouse gas emission trajectories under the Representative Concentration Pathway (RCP) models RCP2.6, RCP4.5, RCP6.0 and RCP8.5 for years 2050 and 2070. Occurrence data were processed to minimize redundancy and spatial autocorrelation; non-correlated environmental variables were determined to minimize bias and ensure robust models. Kernel density, hotspot and cluster analysis of outliers show that populated areas of Auckland, Wellington and Christchurch have significantly greater concentrations of E. karvinskianus. Species distribution modeling results find an increase in the expansion of range with higher RCP values, and plots of centroids show a southward movement of predicted range for the species.
Publisher
MDPI (Multidisciplinary Digital Publishing Institute)
Permanent link
Link to ePress publication
DOI
https://doi.org/10.3390/cli7020024
Copyright holder
© 2019 by the authors. Licensee MDPI, Basel, Switzerland.
Copyright notice
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).