Estimating non‐native plant richness with a species‐accumulation model along roads,Conservation Biology

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Estimating non‐native plant richness with a species‐accumulation model along roads
Conservation Biology ( IF 6.3 ) Pub Date : 2020-04-01 , DOI: 10.1111/cobi.13402
Huixuan Liao ₁ , Huijie Wang ₁ , Qiaohong Dong ₁ , Feihong Cheng ₁ , Ting Zhou ₁ , Shaolin Peng ₁

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Monitoring exotic plant richness is important for biodiversity conservation and scientific research. The species-area model (SA model) has been frequently used to estimate the total species richness within a region. However, the conventional SA model may fail to provide robust estimations of exotic plant richness because the ecological processes corresponded with the accumulation of exotic and native plants may differ. Because roads strongly dictate the distributions of exotic plants, we propose a species-accumulation model along roads (SR model) as the analogy of the SA model to estimate the exotic plant richness within a region. Using 270 simulated datasets, we compared the differences in the performance between the SR and SA models. A decision tree based on prediction accuracy was created to guide model application, which was validated using the field data from 3 national nature reserves located in 3 different provinces in China. According to the results, the SR model significantly outperformed the SA model when exotic species were restricted to the roadsides and the proportion of uncommon exotic species was small. More importantly, the SR model accurately estimated the exotic plant richness in all field sites with an error of less than 1 species per site. We believe that our new model meets the practical need to efficiently and robustly estimate exotic plant richness, which may facilitate effective biodiversity conservations and promote research on exotic plant invasion and vegetation dynamics. Article impact statement: Species-accumulation (SA) model along roads outperforms conventional SA models when nonnatives are only on roadsides and uncommon nonnatives are few. This article is protected by copyright. All rights reserved.

更新日期：2020-04-01

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