Accounting for sampling patterns reverses the relative importance of trade and climate for the global sharing of exotic plants
Product Type:Journal Article
Author(s):Helen Sofaer, and Catherine S. Jarnevich
Suggested Citation:Helen Sofaer, and Catherine S. Jarnevich, 2017, Accounting for sampling patterns reverses the relative importance of trade and climate for the global sharing of exotic plants: Global Ecology and Biogeography, v. 26, iss. 6. DOI: 10.1111/geb.12577
The distributions of exotic species reflect patterns of human-mediated dispersal, species climatic tolerances and a suite of other biotic and abiotic factors. The relative importance of each of these factors will shape how the spread of exotic species is affected by ongoing economic globalization and climate change. However, patterns of trade may be correlated with variation in scientific sampling effort globally, potentially confounding studies that do not account for sampling patterns.
Museum records, generally from the 1800s up to 2015.
Major taxa studied
Plant species exotic to the United States.
We used data from the Global Biodiversity Information Facility (GBIF) to summarize the number of plant species with exotic occurrences in the United States that also occur in each other country world-wide. We assessed the relative importance of trade and climatic similarity for explaining variation in the number of shared species while evaluating several methods to account for variation in sampling effort among countries.
Accounting for variation in sampling effort reversed the relative importance of trade and climate for explaining numbers of shared species. Trade was strongly correlated with numbers of shared U.S. exotic plants between the United States and other countries before, but not after, accounting for sampling variation among countries. Conversely, accounting for sampling effort strengthened the relationship between climatic similarity and species sharing. Using the number of records as a measure of sampling effort provided a straightforward approach for the analysis of occurrence data, whereas species richness estimators and rarefaction were less effective at removing sampling bias.
Our work provides support for broad-scale climatic limitation on the distributions of exotic species, illustrates the need to account for variation in sampling effort in large biodiversity databases, and highlights the difficulty in inferring causal links between the economic drivers of invasion and global patterns of exotic species occurrence.