Large‐scale pest control in New Zealand beech forests

Elliott, Graeme; Kemp, Josh

doi:10.1111/emr.12227

Cited by 93 publications

(127 citation statements)

References 20 publications

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“…In New Zealand, efforts deployed by the government Department of Conservation to control invasive mammal populations during their "Battle for our Birds" campaign are directly informed by an ecological model (Elliott & Kemp, 2016). megamast seeding in New Zealand produce an abundance of resources, which increases invasive small mammal consumer densities (Elliott & Kemp, 2016). megamast seeding in New Zealand produce an abundance of resources, which increases invasive small mammal consumer densities (Elliott & Kemp, 2016).…”

Section: Quantitative Models In Conservation Managementmentioning

confidence: 99%

“…Southern beech (Nothofagus spp.) The likelihood of a masting event is forecasted using a quantitative model, and control efforts are increased during the years with high predicted likelihood of a masting event (Elliott & Kemp, 2016;Kelly et al, 2013). The likelihood of a masting event is forecasted using a quantitative model, and control efforts are increased during the years with high predicted likelihood of a masting event (Elliott & Kemp, 2016;Kelly et al, 2013).…”

Section: Quantitative Models In Conservation Managementmentioning

confidence: 99%

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A concise guide to developing and using quantitative models in conservation management

García‐Díaz

Prowse

Anderson

et al. 2019

Conservation Science and Practice

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Quantitative models are powerful tools for informing conservation management and decision-making. As applied modeling is increasingly used to address conservation problems, guidelines are required to clarify the scope of modeling applications and to facilitate the impact and acceptance of models by practitioners. We identify three key roles for quantitative models in conservation management: (a) to assess the extent of a conservation problem; (b) to provide insights into the dynamics of complex social and ecological systems; and, (c) to evaluate the efficacy of proposed conservation interventions. We describe 10 recommendations to facilitate the acceptance of quantitative models in conservation management, providing a basis for good practice to guide their development and evaluation in conservation applications. We structure these recommendations within four established phases of model construction, enabling their integration within existing workflows: (a) design (two recommendations); (b) specification (two); (c) evaluation (one); and (d) inference (five). Quantitative modeling can support effective conservation management provided that both managers and modelers understand and agree on the place for models in conservation. Our concise review and recommendations will assist conservation managers and modelers to collaborate in the development of quantitative models that are fit-for-purpose, and to trust and use these models appropriately while understanding key drivers of uncertainty. K E Y W O R D Sapplied conservation, ecological models, prediction, projection, simulation model, statistical model, uncertainty GLOSSARY Conservation management: activities conducted with the primary aim of conserving species and systems to achieve maintenance or restoration of biodiversity features. Correlative or correlational model: a model representing noncausative associations between two or more variables.Differential equation: Mathematical equation that relates a function with one or more of its derivatives (i.e., the instantaneous rate of change of a function). For example, an expression for the rate of change (in space or time) of a population. Estimation: using data to approximate, with some degree of uncertainty, the parameter values of a model. Gene drive: a synthetic, self-replicating genetic element that can propagate one or more focal genes through a population.

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Section: Quantitative Models In Conservation Managementmentioning

confidence: 99%

Section: Quantitative Models In Conservation Managementmentioning

confidence: 99%

A concise guide to developing and using quantitative models in conservation management

García‐Díaz

Prowse

Anderson

et al. 2019

Conservation Science and Practice

View full text Add to dashboard Cite

show abstract

“…). In addition to providing justification of return on investment, developing practical evaluation frameworks that are applied from the beginning of large‐scale control programs is also important for guiding control efficiently as conditions change (Elliott and Kemp , Hone et al. ).…”

Section: Introductionmentioning

confidence: 99%

Accounting for heterogeneous invasion rates reveals management impacts on the spatial expansion of an invasive species

et al. 2019

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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.

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“…Changes to bait type, concentration, and pre-feeding practices are considered to have reduced the effects on non-target species. More recent studies have found that aerial 1080 operations have no direct impacts on a range of taxa, including bird populations (Greene et al 2013;Schadewinkel et al 2014), or that a small level of immediate mortality can be outweighed by subsequent increased survival and breeding success in the absence of predators (van Klink et al 2013;Elliott & Kemp 2016). However, much of the research on 1080 impacts has focused on birds of conservation concern including kākā (Nestor meridionalis; Moorhouse et al 2003;Powlesland et al 2003), kiwi (Apteryx spp.…”

Section: Introductionmentioning

confidence: 99%

The effects of single aerial 1080 possum-control operations on common forest birds in the South Island, New Zealand

Vianen¹,

Burge²,

MacFarlane³

et al. 2018

NZ J Ecol

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Abstract:We used a long-term replicated before-after control-impact (BACI) sampling design to monitor the effect of aerial 1080 possum-control operations on common forest bird populations. Paired treatment and nontreatment sites in the Rolleston Range (East Coast, South Island) and Alexander Range (West Coast, South Island) were monitored once before 1080 treatment during winter 2012 and for three successive summers afterwards. Mammals (possums Trichosurus vulpecula, rats Rattus spp. and mice Mus musculus) were monitored with chew cards, and forest birds with five-minute counts. Possums decreased to negligible levels in treatment sites, but increased over time in non-treatment sites. Rats were only present at the West Coast sites, where there was a significant, but short-lived, decrease post-1080. Mouse abundance showed almost no effects post-1080, but increased at the East Coast sites after a beech (Nothofagus spp.) mast seeding event. No common native bird species showed short-term negative effects post-1080. Three species -tomtit (Petroica macrocephala), silvereye (Zosterops lateralis), grey warbler (Gerygone igata) -increased significantly. Longer-term effects on birds were nearly all neutral or positive, including bellbirds which increased three-fold in treatment areas. In nontreatment areas, higher possum densities were correlated with subsequent decreases in bird counts (averaged across all species). Overall, the one-off aerial 1080 treatment had conservation benefits.

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Large‐scale pest control in New Zealand beech forests

Cited by 93 publications

References 20 publications

A concise guide to developing and using quantitative models in conservation management

A concise guide to developing and using quantitative models in conservation management

Accounting for heterogeneous invasion rates reveals management impacts on the spatial expansion of an invasive species

The effects of single aerial 1080 possum-control operations on common forest birds in the South Island, New Zealand

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