Biologging Special Feature

Börger, Luca; Bijleveld, Allert I.; Fayet, Annette L.; Machovsky‐Capuska, Gabriel E.; Patrick, Samantha C.; Street, Garrett M.; Wal, Eric Vander

doi:10.1111/1365-2656.13163

Cited by 31 publications

(27 citation statements)

References 107 publications

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“…Such an approach requires both traditional approaches, such as wildlife surveys, and modern approaches including remote sensing and citizen scientist networks, and analyses of complementary rather than single data streams including news reports (e.g., LEO Network: https://www.leonetwork.org). Real-time observational data can be obtained from satellites and access through online portals which provide open and rapid access to data products (Table 1), ocean observing platforms (Muller-Karger et al, 2018), networks of animal imaging and tracking devices (e.g., Börger et al, 2020, Rutz et al, 2020, www.bio-logging.net), collaborative citizen-science programs (Table 1), and other observation networks (such as in Fig. 1, Hale et al, 2020).…”

Section: Data Streams and Methods For Detecting Responses To Shifts Imentioning

confidence: 99%

COVID-19 pandemic and associated lockdown as a “Global Human Confinement Experiment” to investigate biodiversity conservation

Bates

Primack

Moraga

et al. 2020

Biological Conservation

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200

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Efforts to curtail the spread of the novel coronavirus (SARS-CoV2) have led to the unprecedented concurrent confinement of nearly two-thirds of the global population. The large human lockdown and its eventual relaxation can be viewed as a Global Human Confinement Experiment. This experiment is a unique opportunity to identify positive and negative effects of human presence and mobility on a range of natural systems, including wildlife, and protected areas, and to study processes regulating biodiversity and ecosystems. We encourage ecologists, environmental scientists, and resource managers to contribute their observations to efforts aiming to build comprehensive global understanding based on multiple data streams, including anecdotal observations, systematic assessments and quantitative monitoring. We argue that the collective power of combining diverse data will transcend the limited value of the individual data sets and produce unexpected insights. We can also consider the confinement experiment as a "stress test" to evaluate the strengths and weaknesses in the adequacy of existing networks to detect human impacts on natural systems. Doing so will provide evidence for the value of the conservation strategies that are presently in place, and create future networks, observatories and policies that are more adept in protecting biological diversity across the world.

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Section: Data Streams and Methods For Detecting Responses To Shifts Imentioning

confidence: 99%

COVID-19 pandemic and associated lockdown as a “Global Human Confinement Experiment” to investigate biodiversity conservation

Bates

Primack

Moraga

et al. 2020

Biological Conservation

212

200

View full text Add to dashboard Cite

show abstract

“…I also developed an approach that introduced the concept of individual‐based beta‐diversity within the context of temporal changes in community composition. Theoretically, however, the procedure could be expanded to a spatial context for use in studies of animal behavioral ranges and movements, including long‐distance migration, using monitoring and biologging datasets (Börger et al., 2020; Viana, Santamaría, & Figuerola, 2016) that include multiple time‐series datasets collected from the same place within a shorter time frame than the life spans of the targeted organisms (e.g., bird ringing and classical mark–recapture procedures). Specifically, the approach could detect detailed spatial turnover for individuals within the same species in communities.…”

Section: Discussionmentioning

confidence: 99%

Degrees of compositional shift in tree communities vary along a gradient of temperature change rates over one decade: Application of an individual‐based temporal beta‐diversity concept

Nakadai

2020

Ecology and Evolution

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“…Theoretically, however, the procedure could be expanded to a spatial context for use in studies of animal behavioral ranges and movements, including long-distance migration, using monitoring and biologging datasets (Viana et al . 2016, Börger et al . 2020) that include multiple time series datasets collected from the same place within a shorter time frame than the life spans of the targeted organisms (e.g., bird ringing and classical mark–recapture procedures).…”

Section: Discussionmentioning

confidence: 99%

Degrees of compositional shift in tree communities vary along a gradient of temperature change rates over one decade: Application of an individual-based temporal beta-diversity concept

Nakadai

2020

Preprint

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Temporal patterns in communities have gained much attention recently. However, the persistence of identical individuals and turnover among other individuals within the same species over time have not been considered. To deal with this issue, I propose new index concepts for beta-diversity and the relative speed of compositional equilibrium in relation to individual turnover based on individual identity information. I applied this new approach to individually tracked tree monitoring data in deciduous and evergreen broad-leaved forests across the Japanese archipelago. A new index explored the relative contributions of mortality and recruitment processes. Clear patterns emerged showing that an increase in the temperature change rate facilitated the relative contribution of mortality components. The relative speed of compositional equilibrium decreased with increasing temperature change rates in deciduous forests and increased with increasing warming rates in evergreen forests. The new concepts provide a way to identify novel and high-resolution temporal patterns in communities. Data accessibility statement All the data used in the present study were obtained from open sources. The forest monitoring data were extracted from the website of the Biodiversity Center of Japan (http://www.biodic.go.jp/moni1000/index.html, in Japanese: accessed on November 11, 2019) published in part by Ishihara et al. (2011). Climate data are from the Japanese Automated Meteorological Data Acquisition System (AMeDAS) database (http://www.jma.go.jp/jma/indexe.html, Japan Meteorological Agency accessed December 12, 2019). Taxonomic information was obtained from the Ylist (Yonekura & Kajita 2003: http://ylist.info/ylist_simple_sea rch.html, in Japanese: accessed December 8, 2019).

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Biologging Special Feature

Cited by 31 publications

References 107 publications

COVID-19 pandemic and associated lockdown as a “Global Human Confinement Experiment” to investigate biodiversity conservation

COVID-19 pandemic and associated lockdown as a “Global Human Confinement Experiment” to investigate biodiversity conservation

Degrees of compositional shift in tree communities vary along a gradient of temperature change rates over one decade: Application of an individual‐based temporal beta‐diversity concept

Degrees of compositional shift in tree communities vary along a gradient of temperature change rates over one decade: Application of an individual-based temporal beta-diversity concept

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