Spatial Information Management in Wildlife Ecology: Adding Spatially Explicit Behaviour Data to the Equation?

Jochum, Kim A.; Huettmann, Falk

doi:10.1007/978-4-431-87771-4_10

Cited by 8 publications

(2 citation statements)

References 17 publications

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“…The two-way interaction results in Table V show a widely known relationship between complex mammals and behavior data, whereas in most other wildlife studies worldwide, interactions and such analysis are generally ignored (Braun 2005) and traditional analysis techniques cannot take them well into account (e.g. Manly et al 2002; but see Popp et al 2007); arguably, individuality is a major driver for the general statistical patterns analyzed (see also Jochum & Huettmann 2010). We think that with boosting and related machine-learning methods, one can start to track these interactions, visualize them, and then generalize and predict findings for a better understanding.…”

Section: Discussionmentioning

confidence: 99%

Fecal glucocorticoid metabolite relates to social rank in Sichuan snub-nosed monkeys

Yang

Huettmann

Brown

et al. 2015

Italian Journal of Zoology

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Studies suggest there is a connection between adrenal cortisol production and social rank in many non-human primates. Behavioral observations have confirmed that Sichuan snub-nosed monkeys (Rhinopithecus roxellana) have obvious social ranks. Thus, the goal of this study was to investigate whether there is a relationship between fecal glucocorticoid metabolite (FGM) concentrations as an indicator of social stress and dominance rank in Sichuan snub-nosed monkeys. Fecal samples were collected about every 5 days for 1 year from 10 Sichuan snub-nosed monkeys (> 7 years old; n = 5 males, 5 females), and analysed for FGM with a corticosterone radioimmunoassay using machine learning and open access data. Results showed that: (1) yearly mean FGM levels were negatively correlated with individual animal behavioral social rank in both males and females; (2) we divided the whole year into warm and cold seasons (seasonally) and breeding and nonbreeding seasons physiologically. Except for cold seasons, FGM levels have a negative correlation with behavioral social ranks in males and females; (3) female rank does not clearly relate to FGM levels; (4) social ranks of snub-nosed monkeys are more collaborative traits than aggressive ones. Our findings have important implications for understanding the different physiological consequences of dominant and subordinate social status on Sichuan snub-nosed monkey societies, and it quantifies how physiological stress differs during seasons and phases, and by individuals.

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Section: Discussionmentioning

confidence: 99%

Fecal glucocorticoid metabolite relates to social rank in Sichuan snub-nosed monkeys

Yang

Huettmann

Brown

et al. 2015

Italian Journal of Zoology

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“…Another area of large potential are seabird demography, physiology and behavior databases, where raw and published data could be stored from such projects and field experiments, starting for instance with the infamous gull data from Nobel prize winner Niko Tinbergen (see Ethobank http://www. indiana.edu/~ethobank/ for a general lack of seabird entries, so far, [45] for a review). Similar to the worked-up Lewis and Clarke Expedition data [46], we are still awaiting to see digital seabird databases from ocean explorers and their naturalists like Charles Darwin, Johann Reinhold Foerster (James Cook Expeditions) and the U.S.…”

Section: Seabird Data Typesmentioning

confidence: 99%

Serving the Global Village through Public Data Sharing as a Mandatory Paradigm for Seabird Biologists and Managers: Why, What, How, and a Call for an Efficient Action Plan

Huettmann¹

2011

TOOENIJ

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The ocean and most of its ecosystem components are in a crisis. For instance, 16 out of 18 Albatross species are of serious conservation concern, and many polar species share a similar status. Public data sharing has yet to be established among seabird biologists towards the creation of an efficient management scheme. Here I outline in relevant detail the overall context of global data sharing, and the issues specifically focusing on seabird data and metadata. For the first time, the goals, detailed database and online technicalities and required formats for sharing seabird data are outlined with pros and cons. Finally, an action plan is discussed on how to move towards a new ocean and seabird culture, which has global data sharing and sustainability as its prime goals.

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On the Relevance and Moral Impediment of Digital Data Management, Data Sharing, and Public Open Access and Open Source Code in (Tropical) Research: The Rio Convention Revisited Towards Mega Science and Best Professional Research Practices

Huettmann

2015

Central American Biodiversity

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Spatial Information Management in Wildlife Ecology: Adding Spatially Explicit Behaviour Data to the Equation?

Cited by 8 publications

References 17 publications

Fecal glucocorticoid metabolite relates to social rank in Sichuan snub-nosed monkeys

Fecal glucocorticoid metabolite relates to social rank in Sichuan snub-nosed monkeys

Serving the Global Village through Public Data Sharing as a Mandatory Paradigm for Seabird Biologists and Managers: Why, What, How, and a Call for an Efficient Action Plan

On the Relevance and Moral Impediment of Digital Data Management, Data Sharing, and Public Open Access and Open Source Code in (Tropical) Research: The Rio Convention Revisited Towards Mega Science and Best Professional Research Practices

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