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Dive into the research topics where Guangshun Jiang is active.

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Featured researches published by Guangshun Jiang.


Ecological Research | 2013

Climate change impacts population dynamics and distribution shift of moose (Alces alces) in Heilongjiang Province of China

Hongliang Dou; Guangshun Jiang; Philip Stott; Renzhu Piao

The earth is experiencing obvious climate warming, which may impact population dynamics and the distribution of moose (Alces alces). In this study, we examined the effects of density dependence, temperature, snow depth, and the vegetation (NDVI) on the population dynamics of moose in Heilongjiang Province of China using historical data. Our results demonstrated that moose distribution had continued to contract from the 1980s to the 1990s; moose densities and late spring temperatures in the 1980s were negatively correlated to the rate of increase of the moose population; low and high snow depths in the 1990s showed positive and negative effects, respectively, on the rate of population increase; and the effect of NDVI in the 1980s was similar to the effect of snow depth. Therefore, we confirmed that moose population dynamics is influenced both by intrinsic density-dependent and extrinsic habitat factors, especially late spring temperatures. In addition, an increase in late spring temperatures may shift the southern limit of the distribution of the moose northwards, or may isolate the southernmost portion of the moose population because the rate of warming is higher to the north of a present latitudinal constriction in range than it is at the latitude of the southernmost moose.


Journal of Wildlife Management | 2010

Multi-scale foraging habitat use and interactions by sympatric cervids in Northeastern China.

Guangshun Jiang; Jianzhang Ma; Minghai Zhang; Philip Stott

Abstract Moose (Alces alces) and roe deer (Capreolus pygargus) are sympatric in the forest region of northeastern China. Using univariate analyses of feeding sign data, we found the 2 species were positively associated, but there were distinctions between their use of forage resources across landscape, patch, and microhabitat scales. We used resource selection function models to predict the influence of environmental covariates on moose and roe deer foraging; we detected covariate effects at the landscape and microhabitat scales but not at the patch scale. Forage resources used by the 2 species were similar, but moose used wetter areas and more low-visibility habitats than did roe deer, which strongly avoided areas with sparse vegetation. Both species were influenced by forage abundance and distribution at the microhabitat scale but exhibited differences in intensity of use of plant species and microhabitats. Moose used areas with deeper snow and avoided hiding cover; roe deer avoided areas with higher total basal areas of tree stems and preferred areas with high plant species richness. For moose, there was a trade-off in the use of concealment cover between the landscape and microhabitat scales. We detected avoidance by moose of roads where roe deer occurred. Roe deer exhibited more capacity for coping with human disturbance and interspecific interaction. In areas similar to our study area, road closures and suppression of roe deer near roads within 3–5 years postlogging may benefit moose. Furthermore, a mosaic of areas with different logging intervals may contribute to spatial separation of moose and roe deer and promote their coexistence.


Acta Theriologica | 2007

Effects of human disturbance on movement, foraging and bed selection in red deerCervus elaphus xanthopygus from the Wandashan Mountains, northeastern China

Guangshun Jiang; Minghai Zhang; Jianzhang Ma

We characterized 716 sites (including 22 beds, 60 foraging and 604 movement sites) used by red deerCervus elaphus xanthopygus Milne-Edwards, 1867 in the Wandashan Mountains, northeastern China in the winter period. We used covariates for vegetation, topography, disturbances by other ungulates, and disturbance by humans to develop movement, forage and bed site resource-selection models. We used an information-theoretic approach to select the top 5 models for movement, forage and bed site occurrences respectively. The three most parsimonious autologistic models were good predictors of movement, forage and bed occurrence of this species. Vegetation covariates were important components of all models. We recorded avoidance responses by the behaviours of species to each disturbance type (ie, villages, forest roads and abandoned roads); bed site occurrences were most sensitive to all human disturbances for their lowest odds encountered. Across all parsimonious models, villages have the largest negative effect on movement, foraging and bed occurrences. Movement and bedding behaviours were also affected by other ungulate disturbances. Altitude had slightly negative effect on movement and foraging behaviours. Ridges, topographic aspect and shrub stands were all correlated with bed-site selection. Although different behaviours may be associated with different microhabitat features, behaviours of red deer responded similarly to the same human disturbance on a broad scale. Based on the observations above, we believe that red deer are avoiding human-altered habitat for movement, bedding and foraging because of disturbances during the critical late winter period. Furthermore, various behavioural resource selection models and corresponding graphs of important habitat disturbances can be used to guide and evaluate future development proposals.


Wildlife Biology | 2007

The wolverine Gulo gulo population and its distribution in the Great Khingan Mountains, Northeastern China

Minghai Zhang; Qunxiu Liu; Renzhu Piao; Guangshun Jiang

Abstract The geographical distribution and relative density of the wolverine Gulo gulo population in the Great Khingan Mountains, northeastern China, were surveyed during 1996-2000. The wolverine distribution is decreasing and the population size may be < 200 individuals. In the Great Khingan Mountains forestry areas, the wolverine was mainly separated into two small subpopulations within a total area of 80,000 km2. Moreover, since the 1990s no wolverines or signs of wolverine activity have been found in the Altai Mountains, Sinkiang Province, in northwestern China, which has been another main distribution area for the wolverine in China. We suggest that habitat loss, food limitation and poaching are the main reasons for the decline of the wolverine population in China.


Scientific Reports | 2015

New hope for the survival of the Amur leopard in China.

Guangshun Jiang; Jinzhe Qi; Guiming Wang; Quanhua Shi; Yury Darman; Mark Hebblewhite; Dale G. Miquelle; Zhilin Li; Xue Zhang; Jiayin Gu; Youde Chang; Minghai Zhang; Jianzhang Ma

Natural range loss limits the population growth of Asian big cats and may determine their survival. Over the past decade, we collected occurrence data of the critically endangered Amur leopard worldwide and developed a distribution model of the leopard’s historical range in northeastern China over the past decade. We were interested to explore how much current range area exists, learn what factors limit their spatial distribution, determine the population size and estimate the extent of potential habitat. Our results identify 48,252 km2 of current range and 21,173.7 km2 of suitable habitat patches and these patches may support 195.1 individuals. We found that prey presence drives leopard distribution, that leopard density exhibits a negative response to tiger occurrence and that the largest habitat patch connects with 5,200 km2of Russian current range. These insights provide a deeper understanding of the means by which endangered predators might be saved and survival prospects for the Amur leopard not only in China, but also through imperative conservation cooperation internationally.


Wildlife Research | 2009

Assessing microhabitat use by roe deer and moose in China

Guangshun Jiang; Jianzhang Ma; Minghai Zhang; Philip Stott

Potential conflicts between forestry production practices and wildlife habitat requirements are increasing globally with rapid socioeconomic development. Moose (Alces alces cameloides) and roe deer (Capreolus pygargus bedfordi) populations are in decline in north-eastern China, an area managed for forestry production. We obtained detailed information about these species’ use of habitat by following their movement paths in snow and recording behaviours exhibited along their paths. We used fractal analysis, Mann–Whitney U-tests and linear mixed models to analyse the paths and the relationships between tortuousity, habitat, and the expressed behaviours at different spatial scales. This analysis showed a natural break in the fractal dimension of moose movement paths at a scale of ~10 m, suggesting that moose exhibited different responses to their microhabitat and behavioural requirements at scales above and below this threshold. However, we detected no differences in the responses of roe deer over a scale range of 3–20 m. Moose paths tended to pass through areas with higher basal areas of tree stems and those with deeper snow. Roe deer showed positive associations between tortuousity and the number of bedding sites and feeding sites, and a negative association between tortuousity and the total basal area of tree stems. There was a positive relationship between the numbers of bedding and defaecating sites, and a negative association between the number of bedding sites and snow depth. For moose, we found positive associations between tortuousity and the number of defaecating sites, the basal areas of both broadleaf stands and mixed conifer and broadleaf stands, and a negative association between tortuousity and the number of feeding sites. We concluded that roe deer foraged in accordance with patch-use theory, whereas moose foraged in accordance with diet-selection theory. We concluded that modifications to forestry practices to foster the populations of both species of deer will require forestry operations to be conducted on a much finer scale, and that one species can be promoted over the other by selective fine-scale habitat management.


Acta Theriologica | 2009

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

Guangshun Jiang; Jianzhang Ma; Minghai Zhang; Philip Stott

Eastern roe deerCapreolus pygargus bedfordi Thomas, 1908 occurred throughout China historically, but today are only found in 7 provinces. Their populations in China have been greatly impacted by human disturbances. Little is known about what kinds of human disturbances impact their distribution and resource requirements for survival. A survey was conducted over 20 661 ha located at the Erkehe Forestry Farm in the Lesser Khingan Mountains, northeastern China. Field work lasted from January to March, 2006 and January to March, 2007, and a total of 613 plots were visited along 28 sampling transects. Predictive models of easter roe deer resource selection were developed with or without the inclusion of human disturbance factors. Whether human disturbance exists or not, eastern roe deer retained strong links to patch size and patch density of low shrub and swamp, and the probability of moose occurrence. Low shrub and swamps created after logging provide more abundant annual shoots for food, and were vital for survival in harsh winters. When human disturbance was not modeled, eastern roe deer avoided higher density of bothBetula platyphylla andLarix gmelinii patches at a landscape scale, and larger mixed coniferous and broad-leaf patchs at local scales. Once human disturbances existed, eastern roe deer occurred in areas with higher NDVI and they had a considerably lower probability of presence in areas associated with roads and with a forest harvest interval of 4 years. Consequently, to predict effects of human disturbance on eastern roe deer spatial distribution, models need to incorporate effects of other competitive species, multiple spatial scale resource variables respectively, which will provide more value information for management and use of eastern roe deer population.


Scientific Reports | 2017

Effects of interspecific interaction-linked habitat factors on moose resource selection and environmental stress

Heng Bao; John M. Fryxell; Hui Liu; Hongliang Dou; Yingjie Ma; Guangshun Jiang

Resource selection of herbivores is a complex ecological process that operates in relation to biological or non-biological factors, which may affect the feeding and movement, and subsequently their spatial distribution and environmental stress. Here, we estimated moose (Alces alces cameloides) resource selection for habitat variables and the effect of interspecific interactions related to roe deer (Capreolus pygargus bedfordi) on its population distribution and environmental stress in the Khingan Mountain region of northeast China at local and regional scales. Different response patterns of moose resource selection, spatial distribution, and environmental stress to interspecific interaction-linked habitat factors were shown at the two scales. A general ecological chain, response of moose to interspecific interaction-linked habitat factors, was exhibited at the regional scale, and at the local scale, heterogeneous responses, linkages of habitat selection and environmental stress of moose population might be driven by different interspecific interaction patterns. Our study firstly suggested that moose resource selection, food availability, diet quality, population density and environmental stress indicators were impacted by interactions with the distribution of other sympatric herbivore species and showed differences in ecological response chains at various spatial scales. These findings are useful for sympatric herbivore assembly conservation, habitat quality monitoring and management.


Mitochondrial DNA | 2016

Phylogenetic relationship of Eurasian lynx (Lynx lynx) revealed by complete mitochondrial genome.

Yao Ning; Hui Liu; Guangshun Jiang; Jianzhang Ma

Abstract The Eurasian lynx (Lynx lynx) is an Endangered species in northeast China. We first obtained muscle sample, extracted the sample DNA and sequenced the whole mtDNA genome of lynx from northeast China. We reconstructed the phylogenetic tree of Eurasian lynx and 10 other most closely related Felidae species. This lynxs complete mitogenome is 17 054bp in length, includes 13 protein-coding genes, 22 tRNA genes, 2 rRNA genes and one control region. The phylogenetic tree confirmed previous research results.


Journal of Forestry Research | 2013

Resource selection of moose (Alces alces cameloides) and their response to human disturbances in the northwestern slope of Lesser Khingan Mountains, northeastern China

Su-xian Hu; Guangshun Jiang; Jianzhang Ma; Minghai Zhang; Hui Liu

Moose (Alces alces cameloides) is typically representative of the fauna of the frigid temperate zone and has been put on the Chinese second priority list of protected animals. The moose of northeast China is on the southern most edge of its distribution in Asia. To study resource selection characteristics of moose and their response to human disturbances and forest resource variables, the field work was conducted in Heilongjiang Provincial Shengshan Forestry Farm, which is located in the northwestern slope of Lesser Khingan Mountains, northeastern China, from January to March in both 2006 and 2007. A total of 428 plots were examined within the study area. Signs of moose use were found in 19 plots. Based on the analysis of resource selection function, we found that moose selected areas with higher densities of mixed deciduous broadleaf patch and mixed coniferous and broad leaf patch, and a higher NDVI value. Moose avoided settlement 6 km away and remained low probability of occurrence within 3 km from roads, whereas higher within 4 km from trails. Our results suggested that the behavior of avoidance for human disturbance (i.e. settlement and roads) may indirectly pose habitat loss. Therefore, resource selection function models and corresponding graphs of important habitat disturbances can be used to guide and evaluate future development plans.

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Jianzhang Ma

Northeast Forestry University

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Minghai Zhang

Northeast Forestry University

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Hui Liu

Northeast Forestry University

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Heng Bao

Northeast Forestry University

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Hongliang Dou

Northeast Forestry University

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Zhilin Li

Northeast Forestry University

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Guiming Wang

Mississippi State University

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Jiayin Gu

Northeast Forestry University

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Jinzhe Qi

Northeast Forestry University

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