title: Influences of indication response requirement and target prevalence on dogs’ performance in a scent-detection task

authors: Edwards, Timothy L.

abstract: Scent-detection dogs assist humans with many socially significant tasks and hold promise for assisting with many others. However, the methods used to train scent-detection dogs and the conditions under which they work are highly variable, and the influences of many relevant factors on scent-detection performance are poorly understood. Using an automated scent-detection apparatus that allowed the dogs to work independently from a handler, we evaluated the influence of two factors on scent-detection performance with amyl acetate as the target. In the first experiment in this study, we examined the influence of the indication response requirement on the performance of five dogs trained to perform a scent-detection task. The indication response consisted of the dogs breaking an infrared beam in a port through which they accessed samples. The response requirement was manipulated by adjusting the duration of the beam break that was required to activate food reinforcement if the target was present. As the indication response requirement increased, dogs’ ability to detect the target remained unchanged, as indicated by stable log d measures across durations (p =.09), but their response bias, represented by log B, shifted from a tendency to indicate that targets were present to a tendency to indicate that targets were absent (p <.001). In the second experiment, we examined the influence of target prevalence, or the proportion of samples that are target samples, on four dogs’ scent-detection performance. As target prevalence decreased, the dogs’ ability to detect the target remained unchanged (p =.13), but their response bias shifted from a tendency to indicate that the targets were present to a tendency to indicate that targets were absent (p <.001). This finding aligns with the “low-prevalence effect,” which is commonly observed in human signal detection research. The findings from both experiments have important theoretical and practical implications. For example, by adjusting response effort, we can alter dogs’ response bias toward or away from indicating the presence of targets and, by having a clear understanding of the influence of target prevalence on bias, we can make informed decisions about the need to artificially increase target prevalence when dogs are searching for rare targets.

text: Influences of indication response requirement and target prevalence on dogs’ performance in a scent-detection task Scent-detection dogs assist humans with many socially significant tasks and hold promise for assisting with many others. However, the methods used to train scent-detection dogs and the conditions under which they work are highly variable, and the influences of many relevant factors on scent-detection performance are poorly understood. Using an automated scent-detection apparatus that allowed the dogs to work independently from a handler, we evaluated the influence of two factors on scent-detection performance with amyl acetate as the target. In the first experiment in this study, we examined the influence of the indication response requirement on the performance of five dogs trained to perform a scent-detection task. The indication response consisted of the dogs breaking an infrared beam in a port through which they accessed samples. The response requirement was manipulated by adjusting the duration of the beam break that was required to activate food reinforcement if the target was present. As the indication response requirement increased, dogs’ ability to detect the target remained unchanged, as indicated by stable log d measures across durations (p =.09), but their response bias, represented by log B, shifted from a tendency to indicate that targets were present to a tendency to indicate that targets were absent (p <.001). In the second experiment, we examined the influence of target prevalence, or the proportion of samples that are target samples, on four dogs’ scent-detection performance. As target prevalence decreased, the dogs’ ability to detect the target remained unchanged (p =.13), but their response bias shifted from a tendency to indicate that the targets were present to a tendency to indicate that targets were absent (p <.001). This finding aligns with the “low-prevalence effect,” which is commonly observed in human signal detection research. The findings from both experiments have important theoretical and practical implications. For example, by adjusting response effort, we can alter dogs’ response bias toward or away from indicating the presence of targets and, by having a clear understanding of the influence of target prevalence on bias, we can make informed decisions about the need to artificially increase target prevalence when dogs are searching for rare targets.

year: 2022

title: Effects of climate and land use change on invasive species: A case study of Tradescantia fluminensis (Vell.) in New Zealand

authors: Storey, Liza Preethy

subjects: Tradescantia fluminensis

abstract: Climate change, land use change and invasive species are transforming global biodiversity at multiple scales. Projections are for threats to biodiversity from these global changes to continue into the future, with varied and discernible distribution changes for many species. Concomitantly, these global changes will interact with each other to further exacerbate the problem, as exemplified in this study. In New Zealand, climate change is expected to affect landscapes, fragmented and disturbed by land use change, further increasing the potential invasibility of these landscapes for a suite of existing and emerging invasive species. 

This thesis is concerned with the combined effects of climate and land use changes on the spatial distribution of the sub-tropical invasive plant, Tradescantia fluminensis (Vell.). The contribution of this thesis is to undertake an integrated assessment of the distribution change for this species in New Zealand. On the basis that climatic variables affect species distribution at larger scales, while land use, habitat, disturbance and dispersal mechanisms affect distribution at smaller scales, two separate analyses were undertaken. At the national scale BioCLIM and the Ecological Niche Factor Analysis (ENFA) were implemented using the variables: minimum temperature (July-August), MTminJ-A, and annual water deficit (November-February). At the landscape scale, only ENFA was implemented, using the variables: MTminJ-A, ECOSAT riparian classes (habitat) and proximity to roads, urban areas and streams (disturbance and dispersal sources). Three scenarios of climate change (CCSR B1-Low, CSIRO9 A1B-Mid and HadCM A1FI-High) and two scenarios of land use change (SmartGrowth and Buildout) were developed to the year 2050, using the CLIMPACTS Open Framework Modelling System and Geographic Information Systems, GIS, techniques respectively. The baseline species distribution model was extrapolated in ENFA, using the 2050 scenarios. Changes to potential threat from this species to protected areas at the landscape level were assessed spatially at the landscape level. This approach and its results are novel for this species.

At the national scale the results for the modelling show that climate change will increase the potential habitat suitability of Tradescantia under all combined scenarios of CCSR, CSIRO9 and HadCM for mean minimum temperature (July-August), MTminJ-A and Annual Water Deficit, AWD. At the case study landscape, in the Western Bay of Plenty and Tauranga also the modelling results showed that climate change and land use changes will increase the suitability for Tradescantia by 2050. 

The 'core' or highest suitability areas increase under all future scenarios. At the national level core suitability increased by about 13% for the CCSR:B1-Low and CSIRO9:A1B-Mid and 22% for HadCM:A1FI-High combined scenario on the North Island. On the South Island, core areas increased by a much lower margin - 1.4%, 2.3% and 2.9% for CCSR:B1-Low, CSIRO9:A1B-Mid and HadCM:A1FI-High combined scenarios respectively. At the landscape level core areas increased by 5%, 8% and 21% for the CCSR:B1-Low+SmartGrowth, Darlam:A1b-Mid+SmartGrwoth and HadCM:A1FI-High+Build-out combined scenarios, respectively. This is true also for the Protected areas within the case study landscape, and indicate that the increasing if Tradescantia is able to track both climate and land use change through its dispersal and migration within the landscape 9 primarily in the inland and upland direction), then is will pose a greater risk to native habitats than at present.

Integrated assessments and the outputs they produce are essential to exploring anticipated changes (through scenario-building) and in understanding the change spatial context and magnitude of projected changes from the combined effects of climate and land use changes into the future and need to be integrated into biodiversity-biosecurity management at multiple scales.

text: Effects of climate and land use change on invasive species: A case study of Tradescantia fluminensis (Vell.) in New Zealand Climate change, land use change and invasive species are transforming global biodiversity at multiple scales. Projections are for threats to biodiversity from these global changes to continue into the future, with varied and discernible distribution changes for many species. Concomitantly, these global changes will interact with each other to further exacerbate the problem, as exemplified in this study. In New Zealand, climate change is expected to affect landscapes, fragmented and disturbed by land use change, further increasing the potential invasibility of these landscapes for a suite of existing and emerging invasive species. 

This thesis is concerned with the combined effects of climate and land use changes on the spatial distribution of the sub-tropical invasive plant, Tradescantia fluminensis (Vell.). The contribution of this thesis is to undertake an integrated assessment of the distribution change for this species in New Zealand. On the basis that climatic variables affect species distribution at larger scales, while land use, habitat, disturbance and dispersal mechanisms affect distribution at smaller scales, two separate analyses were undertaken. At the national scale BioCLIM and the Ecological Niche Factor Analysis (ENFA) were implemented using the variables: minimum temperature (July-August), MTminJ-A, and annual water deficit (November-February). At the landscape scale, only ENFA was implemented, using the variables: MTminJ-A, ECOSAT riparian classes (habitat) and proximity to roads, urban areas and streams (disturbance and dispersal sources). Three scenarios of climate change (CCSR B1-Low, CSIRO9 A1B-Mid and HadCM A1FI-High) and two scenarios of land use change (SmartGrowth and Buildout) were developed to the year 2050, using the CLIMPACTS Open Framework Modelling System and Geographic Information Systems, GIS, techniques respectively. The baseline species distribution model was extrapolated in ENFA, using the 2050 scenarios. Changes to potential threat from this species to protected areas at the landscape level were assessed spatially at the landscape level. This approach and its results are novel for this species.

At the national scale the results for the modelling show that climate change will increase the potential habitat suitability of Tradescantia under all combined scenarios of CCSR, CSIRO9 and HadCM for mean minimum temperature (July-August), MTminJ-A and Annual Water Deficit, AWD. At the case study landscape, in the Western Bay of Plenty and Tauranga also the modelling results showed that climate change and land use changes will increase the suitability for Tradescantia by 2050. 

The 'core' or highest suitability areas increase under all future scenarios. At the national level core suitability increased by about 13% for the CCSR:B1-Low and CSIRO9:A1B-Mid and 22% for HadCM:A1FI-High combined scenario on the North Island. On the South Island, core areas increased by a much lower margin - 1.4%, 2.3% and 2.9% for CCSR:B1-Low, CSIRO9:A1B-Mid and HadCM:A1FI-High combined scenarios respectively. At the landscape level core areas increased by 5%, 8% and 21% for the CCSR:B1-Low+SmartGrowth, Darlam:A1b-Mid+SmartGrwoth and HadCM:A1FI-High+Build-out combined scenarios, respectively. This is true also for the Protected areas within the case study landscape, and indicate that the increasing if Tradescantia is able to track both climate and land use change through its dispersal and migration within the landscape 9 primarily in the inland and upland direction), then is will pose a greater risk to native habitats than at present.

Integrated assessments and the outputs they produce are essential to exploring anticipated changes (through scenario-building) and in understanding the change spatial context and magnitude of projected changes from the combined effects of climate and land use changes into the future and need to be integrated into biodiversity-biosecurity management at multiple scales.

year: 2009

title: Boat electrofishing survey of fish abundance in the Ohau Channel, Rotorua, in 2013

authors: Hicks, Brendan J.

abstract: The aim of this survey was to provide on-going monitoring of the fish communities and abundance in the Ohau Channel, especially fish species that are taonga to Maori (eels, goldfish, and koura). In the current study we present the findings from the seventh year of sampling (2013) in view of previous surveys using boat electrofishing in the Ohau Channel. 
We used the University of Waikato's 4.5 m-long, aluminium-hulled electrofishing boat to catch a total of 1,025 fish (20.3 kg) from 11 sites comprising 2,817 lineal m and 11,484 m² in area on 27 November 2013. Common bully were the most abundant fish species (57% of the catch) followed by common smelt (36% of the catch).
Goldfish had their highest biomasses in the lower channel, especially at site 10 near Lake Rotoiti (up to 7.25 g m⁻²). Catch per unit effort (CPUE) for common bullies exceeded smelt CPUE at all sites except site 1, reflecting their greater densities. CPUE for rainbow trout was variable between the sites, and greatest at site 3. 
The abundance of common bullies in 2013 reversed the apparent trend of reducing abundance since these surveys started in 2007. The cause of fluctuating bully abundance is not known, and was not accounted for by water clarity expressed as black disc distance (BDD) or water conductivity. Poor water clarity can reduce the efficiency of electrofishing, but BDD was greater in 2012 than in 2011 when common bully densities were lower. In 2013, the apparent decline in smelt abundance was also reversed, but the relatively inefficient sampling resulting from boat electrofishing for these two species should be considered. 
The increased goldfish biomass in 2011-2013 arose because of targeted fishing in the excavated side branch, which clearly offers good habitat for goldfish. Removal of goldfish in the previous years may have reduced the density in the excavated side channel (site 11) compared to previous years. In 2013, a shortfin eel was caught, following the first shortfin eel encountered in the Ohau Channel in 2012.

text: Boat electrofishing survey of fish abundance in the Ohau Channel, Rotorua, in 2013 The aim of this survey was to provide on-going monitoring of the fish communities and abundance in the Ohau Channel, especially fish species that are taonga to Maori (eels, goldfish, and koura). In the current study we present the findings from the seventh year of sampling (2013) in view of previous surveys using boat electrofishing in the Ohau Channel. 
We used the University of Waikato's 4.5 m-long, aluminium-hulled electrofishing boat to catch a total of 1,025 fish (20.3 kg) from 11 sites comprising 2,817 lineal m and 11,484 m² in area on 27 November 2013. Common bully were the most abundant fish species (57% of the catch) followed by common smelt (36% of the catch).
Goldfish had their highest biomasses in the lower channel, especially at site 10 near Lake Rotoiti (up to 7.25 g m⁻²). Catch per unit effort (CPUE) for common bullies exceeded smelt CPUE at all sites except site 1, reflecting their greater densities. CPUE for rainbow trout was variable between the sites, and greatest at site 3. 
The abundance of common bullies in 2013 reversed the apparent trend of reducing abundance since these surveys started in 2007. The cause of fluctuating bully abundance is not known, and was not accounted for by water clarity expressed as black disc distance (BDD) or water conductivity. Poor water clarity can reduce the efficiency of electrofishing, but BDD was greater in 2012 than in 2011 when common bully densities were lower. In 2013, the apparent decline in smelt abundance was also reversed, but the relatively inefficient sampling resulting from boat electrofishing for these two species should be considered. 
The increased goldfish biomass in 2011-2013 arose because of targeted fishing in the excavated side branch, which clearly offers good habitat for goldfish. Removal of goldfish in the previous years may have reduced the density in the excavated side channel (site 11) compared to previous years. In 2013, a shortfin eel was caught, following the first shortfin eel encountered in the Ohau Channel in 2012.

year: 2014