Effects of human activities on the spatial distribution of eastern roe deerCapreolus pygargus bedfordi in the Lesser Khingan Mountains, northeastern China

Jiang, Guangshun; Ma, Jingyun; Zhang, Minghai; Stott, Philip

doi:10.1007/bf03193138

Cited by 8 publications

(5 citation statements)

References 53 publications

(57 reference statements)

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“…These activities can increase vigilance of red deer (Jayakody et al 2008) or drive red deer from the source of disturbance (Reimoser and Gossow 1996, Sibbald et al 2011, Webb et al 2011. However, other ungulates like the Rocky Mountain elk Cervus canadensis nelsoni also avoided roads (Cole et al 1997) and although previous studies have demonstrated that roe deer and eastern roe deer Capreolus pygargus bedfordi also avoid roads (Hewison et al 2001, Jiang et al 2009, this was not the case in our study.…”

Section: Discussioncontrasting

confidence: 81%

Nothing else matters? Food as a driving factor of habitat use by red and roe deer in winter?

2020

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Habitat use by cervids can have large effects on vegetation. Therefore, factors influencing habitat use are pertinent to ecology, nature conservation as well as management of forests and hunting. The aim of this study was to identify factors influencing habitat use by red and roe deer, Cervus elaphus and Capreolus capreolus, in the Lüneburger Heide, Germany. We used faecal pellet counts as an indicator of habitat use and applied generalized linear models to conclude that habitat use by both cervids was largely explained by the availability of food plants. In particular, the occurrence of bilberry Vaccinium myrtillus and deciduous trees such as beeches Fagus sylvatica were of major importance. Nonetheless, red and roe deer showed preferences for different plant species, but for both deer, the presence of large trees and conifers, with exception of young Norway spruce Picea abies providing shelter for roe deer, was less attractive. Furthermore, the proximity of mineral licks was important for both cervids. Relative to roe deer, red deer showed a stronger avoidance of well‐used paths. Surprisingly, landscape features such as distance to settlements and elevated hunting standshad no significant effect. Our study demonstrates similarities and differences in habitat use of two important herbivores of the Northern temperate forests. We propose that managers establish ‘decoy’ sites for deer: areas with a high proportion of ground vegetation and young trees of lower forestry value. This will serve to divert deer from valuable trees and thereby enhance biodiversity. These open stands could be interspersed with dense islands of young coniferous trees to offer shelter and should be distant to frequently used pathways. Mineral licks may help enhance use of these sites. Providing an attractive resource for both species of cervids is the best way to manage large herbivores in economically valuable forests.

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Section: Discussioncontrasting

confidence: 81%

Nothing else matters? Food as a driving factor of habitat use by red and roe deer in winter?

2020

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“…An increasing number of people are practicing nature-based tourism, with outdoor recreation activities generating pressure on the ecosystems in which they take place [ 1 , 2 ]. An important factor of how outdoor recreation affects ecosystems is the disturbance of wildlife by human recreation [ 3 , 4 ], defined here as any effect on wildlife which is incurred by the presence of recreationists or infrastructure related to recreational activities, irrespective of possible—but mostly unknown—fitness consequences [ 5 , 6 ]. Free-living animals often react to human presence in a similar way than to the presence of natural predators [ 7 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

Human recreation affects spatio-temporal habitat use patterns in red deer (Cervus elaphus)

Coppes¹,

Burghardt

Hagen³

et al. 2017

PLoS ONE

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The rapid spread and diversification of outdoor recreation can impact on wildlife in various ways, often leading to the avoidance of disturbed habitats. To mitigate human-wildlife conflicts, spatial zonation schemes can be implemented to separate human activities from key wildlife habitats, e.g., by designating undisturbed wildlife refuges or areas with some level of restriction to human recreation and land use. However, mitigation practice rarely considers temporal differences in human-wildlife interactions. We used GPS telemetry data from 15 red deer to study the seasonal (winter vs. summer) and diurnal (day vs. night) variation in recreation effects on habitat use in a study region in south-western Germany where a spatial zonation scheme has been established. Our study aimed to determine if recreation infrastructure and spatial zonation affected red deer habitat use and whether these effects varied daily or seasonally. Recreation infrastructure did not affect home range selection in the study area, but strongly determined habitat use within the home range. The spatial zonation scheme was reflected in both of these two levels of habitat selection, with refuges and core areas being more frequently used than the border zones. Habitat use differed significantly between day and night in both seasons. Both summer and winter recreation trails, and nearby foraging habitats, were avoided during day, whereas a positive association was found during night. We conclude that human recreation has an effect on red deer habitat use, and when designing mitigation measures daily and seasonal variation in human-wildlife interactions should be taken into account. We advocate using spatial zonation in conjunction with temporal restrictions (i.e., banning nocturnal recreation activities) and the creation of suitable foraging habitats away from recreation trails.

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“…As one example, such modeling has been employed to address concerns including the evaluation of conservation networks for African elephants ( Loxodonta africana oxyotis ;(Roever et al, 2013). Predicting species distributions has also been used to evaluate anthropogenic effects on wildlife distribution (Bleich, Davis, Marshal, Torres, & Gonzales, 2009; Mark Hebblewhite & Merrill, 2008; Jiang, Ma, Zhang, & Stott, 2009; Johnson et al, 2005; Merkle, Krausman, Decesare, & Jonkel, 2011; Seip, Johnson, & Watts, 2007). For example, Johnson et al (2005) modeled the potential distribution for three arctic species and evaluated the effect of mineral exploration on habitat suitability in an effort to inform management.…”

Section: Introductionmentioning

confidence: 99%

Mapping resource selection functions in wildlife studies: Concerns and recommendations

2016

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Predicting the spatial distribution of animals is an important and widely used tool with applications in wildlife management, conservation, and population health. Wildlife telemetry technology coupled with the availability of spatial data and GIS software have facilitated advancements in species distribution modeling. There are also challenges related to these advancements including the accurate and appropriate implementation of species distribution modeling methodology. Resource Selection Function (RSF) modeling is a commonly used approach for understanding species distributions and habitat usage, and mapping the RSF results can enhance study findings and make them more accessible to researchers and wildlife managers. Currently, there is no consensus in the literature on the most appropriate method for mapping RSF results, methods are frequently not described, and mapping approaches are not always related to accuracy metrics. We conducted a systematic review of the RSF literature to summarize the methods used to map RSF outputs, discuss the relationship between mapping approaches and accuracy metrics, performed a case study on the implications of employing different mapping methods, and provide recommendations as to appropriate mapping techniques for RSF studies. We found extensive variability in methodology for mapping RSF results. Our case study revealed that the most commonly used approaches for mapping RSF results led to notable differences in the visual interpretation of RSF results, and there is a concerning disconnect between accuracy metrics and mapping methods. We make 5 recommendations for researchers mapping the results of RSF studies, which are focused on carefully selecting and describing the method used to map RSF studies, and relating mapping approaches to accuracy metrics.

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Effects of human activities on the spatial distribution of eastern roe deerCapreolus pygargus bedfordi in the Lesser Khingan Mountains, northeastern China

Cited by 8 publications

References 53 publications

Nothing else matters? Food as a driving factor of habitat use by red and roe deer in winter?

Nothing else matters? Food as a driving factor of habitat use by red and roe deer in winter?

Human recreation affects spatio-temporal habitat use patterns in red deer (Cervus elaphus)

Mapping resource selection functions in wildlife studies: Concerns and recommendations

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