Right place. Right time. Right tool: guidance for using target analysis to increase the likelihood of invasive species detection

Morisette, Jeffrey T.; Reaser, Jamie K.; Cook, Gericke; Irvine, Kathryn M.; Roy, Helen E.

doi:10.1007/s10530-019-02145-z

Cited by 41 publications

(14 citation statements)

References 39 publications

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“…These domains were established a priori, based on recent EDRR literature referencing the proposed framework and the integration of mobile technology for reporting IAS (e.g. Martinez et al 2020;Meyers et al 2020;Morisette et al 2020;Wallace et al 2020, Fig. 1).…”

Section: Methodsmentioning

confidence: 99%

A review of invasive species reporting apps for citizen science and opportunities for innovation

Howard¹,

Rees²,

Dahlquist³

et al. 2022

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Smartphone apps have enhanced the potential for monitoring of invasive alien species (IAS) through citizen science. They now have the capacity to massively increase the volume and spatiotemporal coverage of IAS occurrence data accrued in centralised databases. While more reporting apps are developed each year, innovation across diverse functionalities and data management in this field are occurring separately and simultaneously amongst numerous research groups with little attention to trends, priorities and opportunities for improvement. This creates the risk of duplication of effort and missed opportunities for implementing new and existing functionalities that would directly benefit IAS research and management. Using a literature search of Early Detection and Rapid Response implementation, smartphone app development and invasive species reporting apps, we developed a rubric for quantitatively assessing the functionality of IAS reporting apps and applied this rubric to 41 free, English-language IAS reporting apps, available via major mobile app stores in North America. The five highest performing apps achieved scores of 61.90% to 66.35% relative to a hypothetical maximum score, indicating that many app features and functionalities, acknowledged to be useful for IAS reporting in literature, are not present in sampled apps. This suggests that current IAS reporting apps do not make use of all available and known functionalities that could maximise their efficacy. Major implementation gaps, highlighted by this rubric analysis, included limited implementation in user engagement (particularly gamification elements and social media compatibility), ancillary information on search effort, detection method, the ability to report absences and local habitat characteristics. The greatest advancement in IAS early detection would likely result from app gamification. This would make IAS reporting more engaging for a growing community of non-professional contributors and encourage frequent and prolonged participation. We discuss these implementation gaps in relation to the increasingly urgent need for Early Detection and Rapid Response frameworks. We also recommend future innovations in IAS reporting app development to help slow the spread of IAS and curb the global economic and biodiversity extinction crises. We also suggest that further funding and investment in this and other implementation gaps could greatly increase the efficacy of current IAS reporting apps and increase their contributions to addressing the contemporary biological invasion threat.

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Section: Methodsmentioning

confidence: 99%

A review of invasive species reporting apps for citizen science and opportunities for innovation

Howard¹,

Rees²,

Dahlquist³

et al. 2022

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“…Planning for early detection should include the use of citizen science (Pocock et al 2017), given the growing importance of citizen science in this field (Roy et al 2018). Therefore, when designing citizen science for oak lace bug in areas where it is not yet present, such as western Slovenia or neighbouring countries, it would be valuable to recommend recorders focus on recording from stands of oaks near highways, in an effort to target early detection of the species (Morisette et al 2020). Conversely, where the species is becoming established, it could be more valuable to gather records from places where we have least information, e.g.…”

Section: Implications Of Our Findings For Early Detection Of Invasive...mentioning

confidence: 99%

Where to search: the use of opportunistic data for the detection of an invasive forest pest

et al. 2022

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Early detection is important for the management of invasive alien species. In the last decade citizen science has become an important source of such data. Here, we used opportunistic records from the “LIFE ARTEMIS” citizen science project, in which people submitted records from places where they observed tree pests, to understand the distribution of a rapidly-spreading forest pest: the oak lace bug (Corythucha arcuata) in Slovenia. These citizen science records were not distributed randomly. We constructed a species distribution model for C. arcuata that accounted for the biased distribution of citizen science by using the records of other tree pests and diseases from the same project as pseudo-absences (so-called constrained pseudo-absences), and compared this to a model with pseudo-absences selected randomly from across Slovenia. We found that the constrained pseudo-absence model showed that C. arcuata was more likely to be found in east, in places with more oak trees and at lower elevations, and also closer to highways and railways, indicating introduction and dispersal by accidental human transport. The outputs from the model with random pseudo-absences were broadly similar, although estimates from this model tended to be higher and less precise, and some factors that were significant (proximity to minor roads and human settlements) were artefacts of recorder bias, showing the importance of taking the distribution of recording into account wherever possible. The finding that C. arcuata is more likely to be found near highways allows us to design advice for where future citizen science should be directed for efficient early detection.

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“…This is also replicable in other tracks through activities such as enrichment planting and assisted natural regeneration. However, the development of sustainable forest and tree systems to increase The Gambia's energy stocks requires planting the right tree species at the right time and place for the right purpose [44].…”

Section: Pathways Towards Wef Nexus Development Through Different Eba Practicesmentioning

confidence: 99%

Ecosystem-Based Adaptation Practices as a Nature-Based Solution to Promote Water-Energy-Food Nexus Balance

et al. 2021

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The objective of this study is to evaluate the contributions of ecosystem-based adaptation (EbA) practices to the water–energy–food (WEF) nexus balance, design practical pathways, and analyze barriers towards achievement of EbA-WEF balance. An area case study and descriptive methods were used to analyze data collected from 50 community forests (CFs) spread across three regions in The Gambia. Extensive information from relevant literature sources was also referred to in this study. Fourteen priority EbA practices were established and categorized into four major groups based on their application similarities. Among the anticipated ecosystem services were enhanced water resource conservation, food and feed production, enhanced energy supply, and improved community livelihoods to enhance their resilience. Pathways on how each practice under the broad category contributes to water, energy, and food were developed to demonstrate how they individually and collectively contribute towards the nexus balance. Key enablers identified included a conducive policy framework, institutional support, diverse incentives, information, knowledge, and technology transfer, and climate and non-climate barriers were cited as impediments. The paper concludes by outlining recommendations to overcome the established barriers.

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Right place. Right time. Right tool: guidance for using target analysis to increase the likelihood of invasive species detection

Cited by 41 publications

References 39 publications

A review of invasive species reporting apps for citizen science and opportunities for innovation

A review of invasive species reporting apps for citizen science and opportunities for innovation

Where to search: the use of opportunistic data for the detection of an invasive forest pest

Ecosystem-Based Adaptation Practices as a Nature-Based Solution to Promote Water-Energy-Food Nexus Balance

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Right place. Right time. Right tool: guidance for using target analysis to increase the likelihood of invasive species detection

Cited by 41 publications

References 39 publications

﻿A review of invasive species reporting apps for citizen science and opportunities for innovation

﻿A review of invasive species reporting apps for citizen science and opportunities for innovation

Where to search: the use of opportunistic data for the detection of an invasive forest pest

Ecosystem-Based Adaptation Practices as a Nature-Based Solution to Promote Water-Energy-Food Nexus Balance

Contact Info

Product

Resources

About

A review of invasive species reporting apps for citizen science and opportunities for innovation

A review of invasive species reporting apps for citizen science and opportunities for innovation