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Artikel: Weather conditions during hunting season affect the number of harvested roe deer (

Baur, Sophie / Peters, Wibke / Oettenheym, Tobias / Menzel, Annette

2021 Band 11, Heft 15, Seite(n) 10178–10191

Abstract: Due to human-induced climate and landscape changes, distribution and abundance of many ungulate species have increased worldwide. Especially in areas where natural predators are absent, hunting is the essential management tool for regulating ungulate ... ...

Abstract	Due to human-induced climate and landscape changes, distribution and abundance of many ungulate species have increased worldwide. Especially in areas where natural predators are absent, hunting is the essential management tool for regulating ungulate populations. Therefore, understanding the factors associated with harvest rates is the first step toward an adaptive management approach. Weather influences hunter and ungulate behavior and thus presumably harvest, but how and which meteorological parameters are linked to harvest numbers have rarely been evaluated. We used nearly 65,000 "sit and wait" and driven hunt harvests of roe deer (
Sprache	Englisch
Erscheinungsdatum	2021-06-27
Erscheinungsland	England
Dokumenttyp	Journal Article
ZDB-ID	2635675-2
ISSN	2045-7758
ISSN	2045-7758
DOI	10.1002/ece3.7825
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Artikel ; Online: An evaluation of spatial capture‐recapture models applied to ungulate non‐invasive genetic sampling data

Dupont, Pierre P. A. / Bischof, Richard / Milleret, Cyril / Peters, Wibke / Edelhoff, Hendrik / Ebert, Cornelia / Klamm, Alisa / Hohmann, Ulf

The Journal of Wildlife Management. 2023 Apr., v. 87, no. 3 p.e22373-

2023

Abstract: Non‐invasive genetic sampling (NGS) methods are becoming a mainstay in wildlife monitoring and can be used with spatial capture‐recapture (SCR) methods to estimate population density. Yet SCR based on NGS remains relatively underused for ungulate ... ...

Abstract	Non‐invasive genetic sampling (NGS) methods are becoming a mainstay in wildlife monitoring and can be used with spatial capture‐recapture (SCR) methods to estimate population density. Yet SCR based on NGS remains relatively underused for ungulate population monitoring, despite the importance of robust density estimates for this ecologically and economically important group of species. This may be in part attributed to biological characteristics of ungulate species and data collection methods that lead to violations of SCR model assumptions. We conducted a simulation study to evaluate the robustness of SCR methods to spatially heterogeneous density (i.e., configuration of individuals into groups of variable sizes and composition), individual heterogeneity in space‐use patterns, and adaptive sampling (i.e., variation in detectability across space that correlates with density). We evaluated each violation separately and in combination. We parameterized our simulations based on published information and preliminary analyses of NGS data sets of 3 ungulate species: chamois (Rupicapra rupicapra), red deer (Cervus elaphus), and wild boar (Sus scrofa). While SCR estimates were robust to grouping and adaptive sampling, abundance estimates could be negatively biased (up to 10% in our simulations) in the presence of unaccounted individual heterogeneity in space use. The degree to which abundance estimates were underestimated depended mostly on the amount of variation in space use and detectability among age classes. This bias was also accompanied by a reduction in precision and coverage probability of the SCR estimators. We discuss the implications of these findings, possible approaches to identify problematic violations in available data sets (goodness‐of‐fit tests), and potential further developments of SCR models to ensure reliable abundance estimates for ungulate populations from NGS data.
Schlagwörter	Cervus elaphus ; Sus scrofa ; chamois ; data collection ; mark-recapture studies ; population density ; probability ; wild boars ; wildlife ; wildlife management
Sprache	Englisch
Erscheinungsverlauf	2023-04
Erscheinungsort	John Wiley & Sons, Ltd
Dokumenttyp	Artikel ; Online
Anmerkung	JOURNAL ARTICLE
ZDB-ID	410712-3
ISSN	0022-541X
ISSN	0022-541X
DOI	10.1002/jwmg.22373
Datenquelle	NAL Katalog (AGRICOLA)

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Artikel ; Online: Sexual segregation results in pronounced sex-specific density gradients in the mountain ungulate, Rupicapra rupicapra.

Edelhoff, Hendrik / Milleret, Cyril / Ebert, Cornelia / Dupont, Pierre / Kudernatsch, Thomas / Zollner, Alois / Bischof, Richard / Peters, Wibke

Communications biology

2023 Band 6, Heft 1, Seite(n) 979

Abstract: Sex-specific differences in habitat selection and space use are common in ungulates. Yet, it is largely unknown how this behavioral dimorphism, ultimately leading to sexual segregation, translates to population-level patterns and density gradients across ...

Abstract	Sex-specific differences in habitat selection and space use are common in ungulates. Yet, it is largely unknown how this behavioral dimorphism, ultimately leading to sexual segregation, translates to population-level patterns and density gradients across landscapes. Alpine chamois (Rupicapra rupicapra r.) predominantly occupy habitat above tree line, yet especially males may also take advantage of forested habitats. To estimate male and female chamois density and determinants thereof, we applied Bayesian spatial capture-recapture (SCR) models in two contrasting study areas in the Alps, Germany, during autumn. We fitted SCR models to non-invasive individual encounter data derived from genotyped feces. Sex-specific densities were modeled as a function of terrain ruggedness, forest canopy cover, proportion of barren ground, and site severity. We detected pronounced differences in male and female density patterns, driven primarily by terrain ruggedness, rather than by sex-specific effects of canopy cover. The positive effect of ruggedness on density was weaker for males which translated into a higher proportion of males occupying less variable terrain, frequently located in forests, compared to females. By estimating sex-specific variation in both detection probabilities and density, we were able to quantify and map how individual behavioral differences scale up and shape spatial patterns in population density.
Mesh-Begriff(e)	Animals ; Male ; Female ; Rupicapra ; Bayes Theorem ; Genotype ; Sex Characteristics ; Germany
Sprache	Englisch
Erscheinungsdatum	2023-09-25
Erscheinungsland	England
Dokumenttyp	Journal Article ; Research Support, Non-U.S. Gov't
ISSN	2399-3642
ISSN (online)	2399-3642
DOI	10.1038/s42003-023-05313-z
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Artikel: Spatial scaling in bed-site selection by roe deer fawns: Implications for mitigating neonatal mortality during mowing.

Baur, Sophie / Kauffert, Johanna / Hewison, A J Mark / Reinermann, Sophie / König, Andreas / Menzel, Annette / Peters, Wibke

Ecology and evolution

2023 Band 13, Heft 11, Seite(n) e10729

Abstract: When habitat use by field-dwelling animals coincides in space and time with agricultural practices such as spring mowing of meadows, human-wildlife conflicts can have deadly consequences for wildlife. Roe deer ( ...

Abstract	When habitat use by field-dwelling animals coincides in space and time with agricultural practices such as spring mowing of meadows, human-wildlife conflicts can have deadly consequences for wildlife. Roe deer (
Sprache	Englisch
Erscheinungsdatum	2023-11-28
Erscheinungsland	England
Dokumenttyp	Journal Article
ZDB-ID	2635675-2
ISSN	2045-7758
ISSN	2045-7758
DOI	10.1002/ece3.10729
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Artikel: Animal movements occurring during COVID-19 lockdown were predicted by connectivity models

Corradini, Andrea / Peters, Wibke / Pedrotti, Luca / Hebblewhite, Mark / Bragalanti, Natalia / Tattoni, Clara / Ciolli, Marco / Cagnacci, Francesca

Global ecology and conservation. 2021 Dec., v. 32

2021

Abstract: Recent events related to the measures taken to control the spread of the Coronavirus (SARS-CoV-2) reduced human mobility (i.e. anthropause), potentially opening connectivity opportunities for wildlife populations. In the Italian Alps, brown bears have ... ...

Abstract	Recent events related to the measures taken to control the spread of the Coronavirus (SARS-CoV-2) reduced human mobility (i.e. anthropause), potentially opening connectivity opportunities for wildlife populations. In the Italian Alps, brown bears have recovered after reintroduction within a complex anthropogenic matrix, but failed to establish a metapopulation due to reduced connectivity and human disturbance (i.e. infrastructure, land use, and human mobility). Previous work from Peters et al. (2015, Biol. Cons. 186, 123–133) predicted the main corridors and suitable hot spots for road network crossing for this population across all major roads and settlement zones, to link most suitable habitats. Bears used the identified hot spots for road network crossing over the years, but major barriers such as main motor roads were not overcome, possibly due to functional anthropogenic disturbance, specifically human mobility. By analyzing 404 bear occurrences reported to local authorities (as bear-related complaints) collected between 2016 and 2020 (March 9th - May 18th), hence including the COVID-19 related lockdown, we tested the effect of human presence on brown bears' use of space and hot spots for road network crossing. Animals occupied human-dominated spaces and approached hot spots for crossing at a higher rate during the lockdown than in previous years, suggesting that connectivity temporarily increased with reduced human mobility for this population. As a result of their increased use of hot spots, bears expanded their use of suitable areas beyond the population core area. Movement of animals across structural barriers such as roads and human settlements may therefore occur in absence of active disturbance. We also showed the value of predictive models to identify hot spots for animal barrier crossing, the knowledge of which is critical when implementing management solutions to enhance connectivity. Understanding the factors that influence immigration and emigration across metapopulations of large mammals, particularly carnivores that may compete indirectly with humans for space or directly as super-predators, is critical to ensure the long-term viability of conservation efforts for their persistence. We argue that dynamic factors such as human mobility may play a larger role than previously recognized.
Schlagwörter	COVID-19 infection ; Severe acute respiratory syndrome coronavirus 2 ; anthropogenic activities ; humans ; immigration ; land use ; roads ; viability ; wildlife ; Alps region
Sprache	Englisch
Erscheinungsverlauf	2021-12
Erscheinungsort	Elsevier B.V.
Dokumenttyp	Artikel
ZDB-ID	2814786-8
ISSN	2351-9894
ISSN	2351-9894
DOI	10.1016/j.gecco.2021.e01895
Datenquelle	NAL Katalog (AGRICOLA)

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Buch ; Online: Automated wildlife image classification

Bothmann, Ludwig / Wimmer, Lisa / Charrakh, Omid / Weber, Tobias / Edelhoff, Hendrik / Peters, Wibke / Nguyen, Hien / Benjamin, Caryl / Menzel, Annette

An active learning tool for ecological applications

2023

Abstract: Wildlife camera trap images are being used extensively to investigate animal abundance, habitat associations, and behavior, which is complicated by the fact that experts must first classify the images manually. Artificial intelligence systems can take ... ...

Abstract	Wildlife camera trap images are being used extensively to investigate animal abundance, habitat associations, and behavior, which is complicated by the fact that experts must first classify the images manually. Artificial intelligence systems can take over this task but usually need a large number of already-labeled training images to achieve sufficient performance. This requirement necessitates human expert labor and poses a particular challenge for projects with few cameras or short durations. We propose a label-efficient learning strategy that enables researchers with small or medium-sized image databases to leverage the potential of modern machine learning, thus freeing crucial resources for subsequent analyses. Our methodological proposal is two-fold: (1) We improve current strategies of combining object detection and image classification by tuning the hyperparameters of both models. (2) We provide an active learning (AL) system that allows training deep learning models very efficiently in terms of required human-labeled training images. We supply a software package that enables researchers to use these methods directly and thereby ensure the broad applicability of the proposed framework in ecological practice. We show that our tuning strategy improves predictive performance. We demonstrate how the AL pipeline reduces the amount of pre-labeled data needed to achieve a specific predictive performance and that it is especially valuable for improving out-of-sample predictive performance. We conclude that the combination of tuning and AL increases predictive performance substantially. Furthermore, we argue that our work can broadly impact the community through the ready-to-use software package provided. Finally, the publication of our models tailored to European wildlife data enriches existing model bases mostly trained on data from Africa and North America.
Schlagwörter	Computer Science - Computer Vision and Pattern Recognition ; Statistics - Applications
Thema/Rubrik (Code)	006
Erscheinungsdatum	2023-03-28
Erscheinungsland	us
Dokumenttyp	Buch ; Online
Datenquelle	BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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Artikel ; Online: Spatial variation in red deer density in a transboundary forest ecosystem.

Tourani, Mahdieh / Franke, Frederik / Heurich, Marco / Henrich, Maik / Peterka, Tomáš / Ebert, Cornelia / Oeser, Julian / Edelhoff, Hendrik / Milleret, Cyril / Dupont, Pierre / Bischof, Richard / Peters, Wibke

Scientific reports

2023 Band 13, Heft 1, Seite(n) 4561

Abstract: Forests in Europe are exposed to increasingly frequent and severe disturbances. The resulting changes in the structure and composition of forests can have profound consequences for the wildlife inhabiting them. Moreover, wildlife populations in Europe ... ...

Abstract	Forests in Europe are exposed to increasingly frequent and severe disturbances. The resulting changes in the structure and composition of forests can have profound consequences for the wildlife inhabiting them. Moreover, wildlife populations in Europe are often subjected to differential management regimes as they regularly extend across multiple national and administrative borders. The red deer Cervus elaphus population in the Bohemian Forest Ecosystem, straddling the Czech-German border, has experienced forest disturbances, primarily caused by windfalls and bark beetle Ips typographus outbreaks during the past decades. To adapt local management strategies to the changing environmental conditions and to coordinate them across the international border, reliable estimates of red deer density and abundance are highly sought-after by policymakers, wildlife managers, and stakeholders. Covering a 1081-km
Mesh-Begriff(e)	Male ; Female ; Animals ; Ecosystem ; Deer ; Forests ; Europe ; Animals, Wild
Sprache	Englisch
Erscheinungsdatum	2023-03-20
Erscheinungsland	England
Dokumenttyp	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-023-31283-7
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Artikel: Movement responses of roe deer to hunting risk

Picardi, Simona / Basille, Mathieu / Peters, Wibke / Ponciano, José Miguel / Boitani, Luigi / Cagnacci, Francesca

journal of wildlife management. 2019 Jan., v. 83, no. 1

2019

Abstract: Large herbivores respond to fluctuations in predation and hunting risk. The temporal scale of risk heterogeneity affects behavioral responses and determines the usefulness of metrics to quantify them. We present a conceptual framework to link anti‐ ... ...

Abstract	Large herbivores respond to fluctuations in predation and hunting risk. The temporal scale of risk heterogeneity affects behavioral responses and determines the usefulness of metrics to quantify them. We present a conceptual framework to link anti‐predator responses to risk fluctuations and appropriate metrics, based on temporal scale. We applied this framework to investigate movement responses of roe deer (Capreolus capreolus) to hunting risk, measured using movement rate and home range size. Because movements are also affected by reproductive phases, we considered potential effects of the rut in parallel to hunting risk. We compared movements of male and female roe deer in a protected site versus 2 hunted sites during and outside the hunting season and rut. We detected differences in movement rates in response to different hunting management practices. We did not detect effects for hunting regimes or between sexes during the rut when using home range size as the response variable. During the hunting season, movement rates were lower in the hunted sites than in the protected site, irrespective of sex. We did not observe differences in movement rates among sites outside of the hunting season. Males had higher movement rates than females during the rut in only 1 site. Our findings supported the hypothesis that roe deer decrease movements when exposed to high hunting risk. The effect of the rut on movements was negligible except for 1 study site. We suggest that movement rate is a more useful metric than home range size for assessing movement responses to hunting. © 2018 The Wildlife Society
Schlagwörter	Capreolus capreolus ; females ; home range ; males ; predation ; risk ; temporal variation ; wildlife management
Sprache	Englisch
Erscheinungsverlauf	2019-01
Umfang	p. 43-51.
Erscheinungsort	John Wiley & Sons, Ltd
Dokumenttyp	Artikel
Anmerkung	JOURNAL ARTICLE
ZDB-ID	410712-3
ISSN	0022-541X
ISSN	0022-541X
DOI	10.1002/jwmg.21576
Datenquelle	NAL Katalog (AGRICOLA)

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Artikel: Animal movements occurring during COVID-19 lockdown were predicted by connectivity models.

Corradini, Andrea / Peters, Wibke / Pedrotti, Luca / Hebblewhite, Mark / Bragalanti, Natalia / Tattoni, Clara / Ciolli, Marco / Cagnacci, Francesca

Global ecology and conservation

2021 Band 32, Seite(n) e01895

Abstract	Recent events related to the measures taken to control the spread of the Coronavirus (SARS-CoV-2) reduced human mobility (i.e. anthropause), potentially opening connectivity opportunities for wildlife populations. In the Italian Alps, brown bears have recovered after reintroduction within a complex anthropogenic matrix, but failed to establish a metapopulation due to reduced connectivity and human disturbance (i.e. infrastructure, land use, and human mobility). Previous work from Peters et al. (2015, Biol. Cons. 186, 123-133) predicted the main corridors and suitable hot spots for road network crossing for this population across all major roads and settlement zones, to link most suitable habitats. Bears used the identified hot spots for road network crossing over the years, but major barriers such as main motor roads were not overcome, possibly due to functional anthropogenic disturbance, specifically human mobility. By analyzing 404 bear occurrences reported to local authorities (as bear-related complaints) collected between 2016 and 2020 (March 9th - May 18th), hence including the COVID-19 related lockdown, we tested the effect of human presence on brown bears' use of space and hot spots for road network crossing. Animals occupied human-dominated spaces and approached hot spots for crossing at a higher rate during the lockdown than in previous years, suggesting that connectivity temporarily increased with reduced human mobility for this population. As a result of their increased use of hot spots, bears expanded their use of suitable areas beyond the population core area. Movement of animals across structural barriers such as roads and human settlements may therefore occur in absence of active disturbance. We also showed the value of predictive models to identify hot spots for animal barrier crossing, the knowledge of which is critical when implementing management solutions to enhance connectivity. Understanding the factors that influence immigration and emigration across metapopulations of large mammals, particularly carnivores that may compete indirectly with humans for space or directly as super-predators, is critical to ensure the long-term viability of conservation efforts for their persistence. We argue that dynamic factors such as human mobility may play a larger role than previously recognized.
Sprache	Englisch
Erscheinungsdatum	2021-10-28
Erscheinungsland	Netherlands
Dokumenttyp	Journal Article
ZDB-ID	2814786-8
ISSN	2351-9894
ISSN	2351-9894
DOI	10.1016/j.gecco.2021.e01895
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Artikel ; Online: Climate change and anthropogenic food manipulation interact in shifting the distribution of a large herbivore at its altitudinal range limit.

Bright Ross, Julius G / Peters, Wibke / Ossi, Federico / Moorcroft, Paul R / Cordano, Emanuele / Eccel, Emanuele / Bianchini, Filippo / Ramanzin, Maurizio / Cagnacci, Francesca

Scientific reports

2021 Band 11, Heft 1, Seite(n) 7600

Abstract: Ungulates in alpine ecosystems are constrained by winter harshness through resource limitation and direct mortality from weather extremes. However, little empirical evidence has definitively established how current climate change and other anthropogenic ... ...

Abstract	Ungulates in alpine ecosystems are constrained by winter harshness through resource limitation and direct mortality from weather extremes. However, little empirical evidence has definitively established how current climate change and other anthropogenic modifications of resource availability affect ungulate winter distribution, especially at their range limits. Here, we used a combination of historical (1997-2002) and contemporary (2012-2015) Eurasian roe deer (Capreolus capreolus) relocation datasets that span changes in snowpack characteristics and two levels of supplemental feeding to compare and forecast probability of space use at the species' altitudinal range limit. Scarcer snow cover in the contemporary period interacted with the augmented feeding site distribution to increase the elevation of winter range limits, and we predict this trend will continue under climate change. Moreover, roe deer have shifted from historically using feeding sites primarily under deep snow conditions to contemporarily using them under a wider range of snow conditions as their availability has increased. Combined with scarcer snow cover during December, January, and April, this trend has reduced inter-annual variability in space use patterns in these months. These spatial responses to climate- and artificial resource-provisioning shifts evidence the importance of these changing factors in shaping large herbivore spatial distribution and, consequently, ecosystem dynamics.
Mesh-Begriff(e)	Animal Migration/physiology ; Animals ; Climate Change ; Deer/physiology ; Deer/psychology ; Demography/trends ; Ecosystem ; Feeding Behavior/physiology ; Feeding Behavior/psychology ; Food ; Herbivory/physiology ; Seasons ; Snow ; Tundra ; Weather
Sprache	Englisch
Erscheinungsdatum	2021-04-07
Erscheinungsland	England
Dokumenttyp	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-021-86720-2
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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