A checklist of attributes for effective monitoring of threatened species and threatened ecosystems

Lindenmayer, David B.; Legge, Sarah; Southwell, Darren; Lavery, Tyrone H.; Robinson, Natasha; Scheele, Ben C.; Wintle, Brendan A.

doi:10.1016/j.jenvman.2020.110312

Cited by 55 publications

(45 citation statements)

References 66 publications

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“…Assessing the size of natural populations is a key objective of monitoring programs which are vital for understanding the conservation status of species, the regulating effects of biotic and abiotic factors, and for the assessment of management efforts (Lindenmayer et al., 2020). However, for many marine populations there is a lack of consistent monitoring programs at appropriate spatial and temporal scales for conservation and policy needs (Papa et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

Effective number of white shark (Carcharodon carcharias, Linnaeus) breeders is stable over four successive years in the population adjacent to eastern Australia and New Zealand

Davenport

Butcher

Andreotti

et al. 2020

Ecology and Evolution

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Section: Introductionmentioning

confidence: 99%

Effective number of white shark (Carcharodon carcharias, Linnaeus) breeders is stable over four successive years in the population adjacent to eastern Australia and New Zealand

Davenport

Butcher

Andreotti

et al. 2020

Ecology and Evolution

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“…Data from long-term monitoring programs are used in assessing trends in environmental observations, understanding system dynamics, and making management decisions. It is critical that these monitoring programs be designed in order to address our questions of interest (Field et al, 2007;McDonald-Madden et al, 2010;Lindenmayer et al, 2020). This is particularly relevant when new questions are asked of monitoring data or data from disparate monitoring programs are combined.…”

Section: Discussionmentioning

confidence: 99%

“…Despite the recognized importance of long-term monitoring programs, key questions remain. Several authors have pointed out that long-term monitoring programs are not necessarily designed in a way to best address key questions of interest (Legg and Nagy, 2006;Nichols and Williams, 2006;Field et al, 2007;McDonald-Madden et al, 2010;Lindenmayer et al, 2012Lindenmayer et al, , 2020. For instance, suppose that a monitoring site was selected to monitor dynamics in a bird population near a university.…”

Section: Challenges Of Monitoring Programsmentioning

confidence: 99%

Experimenting With the Past to Improve Environmental Monitoring

White

Bahlai

2021

Front. Ecol. Evol.

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Long-term monitoring programs are a fundamental part of both understanding ecological systems and informing management decisions. However, there are many constraints which might prevent monitoring programs from being designed to consider statistical power, site selection, or the full costs and benefits of monitoring. Key considerations can be incorporated into the optimal design of a management program with simulations and experiments. Here, we advocate for the expanded use of a third approach: non-random resampling of previously-collected data. This approach conducts experiments with available data to understand the consequences of different monitoring approaches. We first illustrate non-random resampling in determining the optimal length and frequency of monitoring programs to assess species trends. We then apply the approach to a pair of additional case studies, from fisheries and agriculture. Non-random resampling of previously-collected data is underutilized, but has the potential to improve monitoring programs.

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“…Environmental monitoring is one of the core components to modern ecosystem research and management (McDonald-Madden et al 2010;White 2019;Lindenmayer et al 2020). Within an adaptive management framework, monitoring is needed for both learning about the system under study and assessing the e ectiveness of management interventions (Lovett et al 2007).…”

Section: Introductionmentioning

confidence: 99%

“…Thus, for many fields there is a disparity between the amount of data that can be acquired and stored, and the ultimate number of samples that can be processed. Therefore, monitoring programs need to be designed in such a way to address the question of interest while using limited resources e ciently (Legg and Nagy 2006;McDonald-Madden et al 2010;Lindenmayer et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Sampling requirements and approaches to detect ecosystem shifts

Bruel

White

2020

Preprint

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Environmental monitoring is a key component of understanding and managing ecosystems. Given that most monitoring e orts are still expensive and time-consuming, it is essential that monitoring programs are designed to be e cient and e ective. In many situations, the expensive part of monitoring is not sample collection, but instead sample processing, which leads to only a subset of the samples being processed. For example, sediment or ice cores can be quickly obtained in the field, but they require weeks or months of processing in a laboratory setting. Standard sub-sampling approaches often involve equally-spaced sampling. We use simulations to show how many samples, and which types of sampling approaches, are the most e ective in detecting ecosystem change. We test these ideas with a case study of Cladocera community assemblage reconstructed from a sediment core. We demonstrate that standard approaches to sample processing are less e cient than an iterative approach. For our case study, using an optimal sampling approach would have resulted in savings of 195 person-hours-thousands of dollars in labor costs. We also show that, compared with these standard approaches, fewer samples are typically needed to achieve high statistical power. We explain how our approach can be applied to monitoring programs that rely on video records, eDNA, remote sensing, and other common tools that allow re-sampling.

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A checklist of attributes for effective monitoring of threatened species and threatened ecosystems

Cited by 55 publications

References 66 publications

Effective number of white shark (Carcharodon carcharias, Linnaeus) breeders is stable over four successive years in the population adjacent to eastern Australia and New Zealand

Effective number of white shark (Carcharodon carcharias, Linnaeus) breeders is stable over four successive years in the population adjacent to eastern Australia and New Zealand

Experimenting With the Past to Improve Environmental Monitoring

Sampling requirements and approaches to detect ecosystem shifts

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