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Ecosphere Volume 10 ,Issue 3 ,2019-03-18
Accounting for heterogeneous invasion rates reveals management impacts on the spatial expansion of an invasive species
Articles
Kim M. Pepin 1 David W. Wolfson 2 Ryan S. Miller 2 Michael A. Tabak 2 Nathan P. Snow 1 Kurt C. VerCauteren 1 Amy J. Davis 1
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DOI:10.1002/ecs2.2657
Received 2019-02-12, accepted for publication 2019-02-15, Published 2019-02-15
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摘要

Abstract Success of large‐scale control programs for established invasive species is challenging to evaluate because of spatial variability in expansion rates, management techniques, and the strength of management intensity. For a well‐established invasive species in the spreading phase of invasion, a useful metric of impact is the magnitude by which control slows the rate of spatial spread. The prevention of spatial spreading likely results in substantial benefits in terms of ecosystem or economic damage that is prevented by an expanding invasive species. To understand how local management actions could impact the spatial spread of an established invasive species, we analyzed distribution and management data for feral swine across contiguous United States using occupancy analysis. We quantified changes in the rate of spatial expansion of feral swine and its relationship to local management actions. We found that after 4 yr of enhanced control, invasion probability decreased by 8% on average relative to pre‐program rates. This decrease was as high as 15% on average in states with low‐density populations of feral swine. The amount of decrease in invasion rate was attributed to removal intensity in neighboring counties and depended on the extent of neighboring counties with feral swine (spatial heterogeneity in local invasion pressure). Although we did not find a significant overall increase in the probability of elimination, increased elimination probability tended to occur in regions with low invasion pressure. Accounting for spatial heterogeneity in invasion pressure was important for quantifying management impacts (i.e., the relationship between management intensity and spatial spreading processes) because management impacts changed depending on the strength of invasion pressure from neighboring counties. Predicting reduction in spatial spread of an invasive species is an important first step in valuation of overall damage reduction for invasive species control programs by providing estimates of where a species may be, and thus which natural and agricultural resources would be affected, if the control program had not been operating. For minimizing losses from spatial expansion of an invasive species, our framework can be used for adaptive resource prioritization to areas where spatial expansion and underlying damage potential are concurrently highest.

关键词

wild pig;Sus scrofa;spatial spread;spatial heterogeneity;management;invasive species;invasion rate;expansion;elimination;control

授权许可

© 2019 The Ecological Society of America

图表

Raw counts of pigs removed by each removal method. Pie charts show MIS data for each state as the proportion of removals by each method. Size of the pie chart corresponds to the total number of pigs removed in the state during the year (removal counts indicated by the gray scale circles).

Raw counts of pigs removed by ASDs and overlayed onto the pig distribution as observed in NFSMS data. Red shades show removal intensity where there are pigs. Black shows where there are pigs but no removals. Blue shades show removal intensity in areas where there is no distribution data coverage. White represents areas where pigs have not been reported.

Probability of invasion and extinction using space‐time model. (A) Invasion (black circles) and extinction (gray triangles) probabilities for counties on average during transitions for the indicated time frames (X‐axes). Raw data: filled symbols; model predictions: open symbols with 95% prediction intervals. (B and C) Absolute difference in the predicted proportion of counties (Appendix S1: Table S4, S6) with new invasions (B) or extinctions (C) relative to the previous time period (where 2014–2015 is compared against 2012–2013). Gray: no NFSMS data; white: no change. Red scale indicates increased invasion probability (B) or decreased extinction probability (C); blue scale indicates decreased invasion probability (B) or decreased extinction probability (C).

Effects of invasion pressure and management for 2014–2015 (early) and 2016–2017 (late). Predictions of invasion (top) and extinction probabilities (bottom) from the management model (Appendix S1: Table S3) with 95% prediction intervals (shading). Left plots show the relationship of invasion and extinction probabilities as a function of invasion pressure. The vertical lines show the values of invasion pressure that are used in the middle and right plots. Middle and right plots show the effects of management intensity on invasion and extinction probabilities.

通讯作者

Kim M. Pepin.National Wildlife Research Center, USDA‐APHIS, Wildlife Services, 4101 Laporte Avenue, Fort Collins, Colorado, 80521, USA.kim.m.pepin@aphis.usda.gov

推荐引用方式

Kim M. Pepin,David W. Wolfson,Ryan S. Miller,Michael A. Tabak,Nathan P. Snow,Kurt C. VerCauteren,Amy J. Davis. Accounting for heterogeneous invasion rates reveals management impacts on the spatial expansion of an invasive species. Ecosphere ,Vol.10, Issue 3(2019)

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