Historical Change on Distribution and Quantity of the South-China Tiger (Panthera tigris amoyensis)

As one of five survived tiger subspecies, the South-China tiger (Panthera tigris amoyensis) specially disperses in China. This paper dedicated distribution and quantity of wild South-China tiger, and also introduced distribution, quantity and pedigree of captive South-China tiger. In the middle of this century, about several thousands South-China tiger distributed in following provinces, such as Hunan, Jiangxi, Guizhou, Fujian, Guangdong, Guangxi, Zhejiang, Hubei, Sichuan, Henan, Shanxi, Shanxi, Gansu. etc. Until now, there are only about 20–30 wild South-China tigers distributing in the provinces of Guangdong, Fujian, Jiangxi, and Hunan, Sichuan, and 50 captive South-China tiger are raised in zoos of China.

Genetic structure of the Amur tiger(Panthera tigris altaica)population:Are tigers in Sikhote-Alin and southwest Primorye truly isolated?

We used molecular genetic analyses to noninvasively identify individual Amur tigers and define subpopulations of tigers in the Russian Far East.We identified 63 individuals after genotyping 256 feces,7 hair and 11 blood samples collected within southern,central and northern Sikhote-Alin,as well as Southwest Primorye.Analysis of nuclear DNA at 9 microsatellite loci demonstrated greater genetic similarity between animals from southern and northern Sikhote-Alin(some 500 km apart)than between animals from Ussuriskii State Nature Reserve and Southwest Primorye(less than 10 km apart at their nearest point),suggesting that a true barrier exists preventing movements of tigers between Southwest Primorye and the southern Sikhote-Alin Mountains.

Social structure and space use of Amur tigers(Panthera tigris altaica)in Southern Russian Far East based on GPS telemetry data

To better understand the spatial structure of Amur tigers(Panthera tigris altaica)at the southern edge of their range we fitted 14 tigers(6♀♀and 8♂♂)with 15 GPS-Argos collars between 2008 and 2011 in 2 study sites:the Ussuriskii Reserve of southern Sikhote-Alin and the Land of the Leopard National Park in southwest Primorye,Russian Far East.Fixed kernel estimates of male home ranges were larger than those of female home ranges(P<0.05[mean 95%fixed kernel♀=401±205 km2;mean 95%fixed kernel♂=778±267 km2]).The home range size of females varied greatly,but on average was similar to estimates derived from earlier work further north.Low overlap of adjacent home ranges suggested that females retained exclusive territories.Real core areas of females overlapped only slightly,and remained stable over multiple years.The home ranges of adult males were smaller than those of males to the north,and in contrast to previous studies,high overlap among males indicated the absence of territoriality.Nonetheless,real core areas of males did not overlap,suggesting some spatial separation.In comparison to other tiger populations and other areas of the Russian Far East,the sex ratio in our 2 study areas was highly skewed towards males.We believe this skewed sex ratio resulted in the dissolution of territoriality of males due to an inability to defend individual females,with males resorting to scramble competition for mates.Continued monitoring of these sites to determine whether shifts in the sex ratio might result in a return to male territoriality would provide confirmation of our tentative hypothesis.

Estimation of body weight in captive Amur tigers(Panthera tigris altaica)

So far,there has been no safe and convenient method to weigh the largefierce animals,like Amur tigers.To address this problem,we built models to predict the body weight of Amur tigers based on the fact that body weight is proportional to body measurements or age.Using the method of body measurements,we extracted the body measurements from 4 different kinds of the lateral body image of tigers,that is,total lateral image,central lateral image,ellipsefitting image,and rectanglefitting image,and then we respectively used artificial neural network(ANN)and power regression model to analyze the predictive relationships between body weight and body measurements.Our results demonstrated that,among all ANN models,the model built with rectanglefitting image had the smallest mean square error.Comparatively,we screened power regression models which had the smallest Akakai information criteria(AIC).In addition,using the method of age,wefitted nonlinear regression models for the relationship between body weight and age and found that,for male tigers,logistic model had the smallest AIC.For female tigers,Gompertz model had the smallest AIC.Consequently,this study could be applied to estimate body weight of captive,or even wild,Amur tigers safely and conveniently,helping to monitor individual health and growth of the Amur tiger populations.

A comparison of reproductive parameters of female Amur tigers(Panthera tigris altaica)in the wild and captivity

A healthy population of captive Amur tigers might assist recovery of the wild population in Northeast China if individuals were properly prepared and considered suitable for release in the wild.We analyzed the breeding records of 68 female Amur tigers from 1995 to 2010 in the Hengdaohezi Felid Breeding Center of China and compared the reproductive parameters of this population to wild female Amur tigers.We found that the reproductive parameters of the captive population(the age of first parturition,length of gestation and litter survival rate)were not significantly different from those of wild Amur tigers.Differences in birth date and litter size between wild and captive populations may be caused by management protocols for the captive population or insufficient field data from the wild population.Reproductive parameters of females giving birth after losing a litter were similar to parameters of females that did not lose a litter,except for birth date.These results provide no indication of major problems in using captive females for a breeding program for release of cubs into the wild,but additional information is still needed to assess their suitability.

老爷岭南部狍冬季移动、卧息生境选择及其适宜性评价

在动物生境研究中,移动生境和卧息生境是生境研究的焦点。开展移动生境和卧息生境选择,并在此基础上进行生境评价,有利于深入了解动物对移动和卧息生境条件的需求,制定科学合理的栖息地保护计划。以东北虎(Panthera tigris altaica)的主要猎物物种之一——狍(Capreolus pygargus)为研究对象,于2017—2019年冬季积雪覆盖期在老爷岭南部通过随机布设28个大样方和84条用于足迹链跟踪的样线收集狍的移动点和卧息点信息,再结合近年来收集的东北虎出现点,利用广义可加模型(GAM)和最大熵模型(MaxEnt)进行狍移动、卧息生境选择及评价研究。移动生境选择研究表明,狍在移动的过程中偏好选择坡度小、距农田距离>500 m、远离道路、居民点和低海拔或较高海拔的区域;移动生境评价分析表明,移动适宜和次适宜生境面积之和为1318.16 km^(2),占研究区域面积的51.28%,当加入虎活动点影响因子后,狍移动适宜和次适宜生境面积之和为901.52 km^(2),适宜和次适宜生境面积之和减少了31.61%。狍卧息生境选择研究表明,水源、农田、道路和雪深是影响狍卧息的关键因素,其中雪深对狍卧息生境选择的贡献率达到70.13%;卧息生境评价表明,卧息适宜和次适宜生境面积之和为1243.77 km^(2),占研究区域面积的48.39%,当加入虎出现点因子后,适宜生境和次适宜生境面积之和减少了61.00%,仅为485.02 km^(2)。研究认为,虎的出现对狍移动和卧息生境选择均产生影响,虎的活动及捕食行为可能会减少狍的活动范围和频次,狍远离虎活动区域卧息休息,压缩了狍适宜卧息的空间。

Individual automatic detection and identification of big cats with the combination of different body parts

The development of facial recognition technology has become an increasingly powerful tool in wild animal indi-vidual recognition.In this paper,we develop an automatic detection and recognition method with the combinations of body features of big cats based on the deep convolutional neural network(CNN).We collected dataset including 12244 images from 47 individual Amur tigers(Panthera tigris altaica)at the Siberian Tiger Park by mobile phones and digital camera and 1940 images and videos of 12 individual wild Amur leopard(Panthera pardus orientalis)by infrared cameras.First,the single shot multibox detector algorithm is used to perform the automatic detection process of feature regions in each image.For the different feature regions of the image,like face stripe or spots,CNNs and multi-layer perceptron models were applied to automatically identify tiger and leopard individuals,in-dependently.Our results show that the identification accuracy of Amur tiger can reach up to 93.27%for face front,93.33%for right body stripe,and 93.46%for left body stripe.Furthermore,the combination of right face,left body stripe,and right body stripe achieves the highest accuracy rate,up to 95.55%.Consequently,the combination of different body parts can improve the individual identification accuracy.However,it is not the higher the number of body parts,the higher the accuracy rate.The combination model with 3 body parts has the highest accuracy.The identification accuracy of Amur leopard can reach up to 86.90%for face front,89.13%for left body spots,and 88.33%for right body spots.The accuracy of different body parts combination is lower than the independent part.For wild Amur leopard,the combination of face with body spot part is not helpful for the improvement of identification accuracy.The most effective identification part is still the independent left or right body spot part.It can be applied in long-term monitoring of big cats,including big data analysis for animal behavior,and be helpful for the individual identification of other wildlife species.

Human-tiger conflict:A review and call for comprehensive plans

Human-tiger(Panthera tigris Linnaeus,1758)conflicts(HTC),manifested primarily as attacks on people and domestic animals,exacerbate at least 2 major threats to tigers:(i)conflicts often result in mortality or removal of tigers from the wild;and(ii)they result in negative attitudes towards tigers by local people,thereby reducing support for tiger conservation.Although HTC has decreased over the past century,it will likely increase if current and proposed conservation initiatives to double tiger populations are successful.Increased HTC could undermine successful conservation initiatives if proactive steps are not taken to reduce HTC.The present paper provides a review of the impacts of HTC and the measures taken to reduce it in ways that reduce negative impacts on both humans and tigers,and stresses the need for development and implementation of comprehensive plans to reduce HTC.

Canine distemper virus as a threat to wild tigers in Russia and across their range

Canine distemper virus(CDV)has recently been identified in populations of wild tigers in Russia and India.Tiger populations are generally too small to maintain CDV for long periods,but are at risk of infections arising from more abundant susceptible hosts that constitute a reservoir of infection.Because CDV is an additive mortality factor,it could represent a significant threat to small,isolated tiger populations.In Russia,CDV was associated with the deaths of tigers in 2004 and 2010,and was coincident with a localized decline of tigers in Sikhote-Alin Biosphere Zapovednik(from 25 tigers in 2008 to 9 in 2012).Habitat continuity with surrounding areas likely played an important role in promoting an ongoing recovery.We recommend steps be taken to assess the presence and the impact of CDV in all tiger range states,but should not detract focus away from the primary threats to tigers,which include habitat loss and fragmentation,poaching and retaliatory killing.Research priorities include:(i)recognition and diagnosis of clinical cases of CDV in tigers when they occur;and(ii)collection of baseline data on the health of wild tigers.CDV infection of individual tigers need not imply a conservation threat,and modeling should complement disease surveillance and targeted research to assess the potential impact to tiger populations across the range of ecosystems,population densities and climate extremes occupied by tigers.Describing the role of domestic and wild carnivores as contributors to a local CDV reservoir is an important precursor to considering control measures.

Mortality of Amur tigers:The more things change,the more they stay the same

Poaching as well as loss of habitat and prey are identified as causes of tiger population declines.Although some studies have examined habitat requirements and prey availability,few studies have quantified cause-specific mortality of tigers.We used cumulative incidence functions(CIFs)to quantify cause-specific mortality rates of tigers,expanding and refining earlier studies to assess the potential impact of a newly emerging disease.To quantify changes in tiger mortality over time,we re-examined data first collected by Goodrich et al.(2008;study period 1:1992–2004)as well as new telemetry data collected since January 2005(study period 2:2005–2012)using a total of 57 tigers(27 males and 30 females)monitored for an average of 747 days(range 26–4718 days).Across the entire study period(1992 to 2012)we found an estimated average annual survival rate of 0.75 for all tigers combined.Poaching was the primary cause of mortality during both study periods,followed by suspected poaching,distemper and natural/unknown causes.Since 2005,poaching mortality has remained relatively constant and,if combined with suspected poaching,may account for a loss of 17–19%of the population each year.Canine distemper virus(CDV)may be an additive form of mortality to the population,currently accounting for an additional 5%.Despite this relatively new source of mortality,poaching remains the main threat to Amur tiger survival and,therefore,population growth.

Historic distribution and recent loss of tigers in China

Historical records can provide important evidence of changes in distributions of wildlife species.Here we discuss the distribution of the tiger(Panthera tigris Linnaeus,1758)over the past 2000 years in China based on 2635 historical records.We also compare tiger distributions outlined in these records with ecosystem type maps.Throughout this time period,tigers maintained a broad distribution across 7 biomes(from forests to deserts).However,in recent decades the range has been significantly condensed.Today,only 2 populations remain,neither of which is independently viable.Tigers have completely disappeared from the temperate broadleaf and mixed forests of central China,a region that was traditionally their most important biome in China.The continued presence of wild tigers in China is highly dependent on significant conservation measures.

Noninvasive genetics provides insights into the population size and genetic diversity of an Amur tiger population in China

Understanding population size and genetic diversity is critical for effective conservation of endangered species.The Amur tiger(Panthera tigris altaica)is the largest felid and a flagship species for wildlife conservation.Due to habitat loss and human activities,available habitat and population size are continuously shrinking.However,little is known about the true population size and genetic diversity of wild tiger populations in China.In this study,we collected 55 fecal samples and 1 hair sample to investigate the population size and genetic diversity of wild Amur tigers in Hunchun National Nature Reserve,Jilin Province,China.From the samples,we determined that 23 fecal samples and 1 hair sample were from 7 Amur tigers:2 males,4 females and 1 individual of unknown sex.Interestingly,2 fecal samples that were presumed to be from tigers were from Amur leopards,highlighting the significant advantages of noninvasive genetics over traditional methods in studying rare and elusive animals.Analyses from this sample suggested that the genetic diversity of wild Amur tigers is much lower than that of Bengal tigers,consistent with previous findings.Furthermore,the genetic diversity of this Hunchun population in China was lower than that of the adjoining subpopulation in southwest Primorye Russia,likely due to sampling bias.Considering the small population size and relatively low genetic diversity,it is urgent to protect this endangered local subpopulation in China.

Saving wild tigers:A case study in biodiversity loss and challenges to be met for recovery beyond 2010

Wild tigers are being annihilated.Tiger range countries and their partners met at the 1st Asian Ministerial Conference on Tiger Conservation in January 2010 to mandate the creation of the Global Tiger Recovery Program to double the number of tigers by 2022.Only 3200-3600 wild adult tigers remain,approximately half of the population estimated a decade ago.Tigers now live in only 13 countries,all of which are experiencing severe environmental challenges and degradation from the effects of human population growth,brisk economic expansion,rapid urbanization,massive infrastructure development and climate change.The overarching challenge of tiger conservation,and the conservation of biodiversity generally,is that there is insufficient demand for the survival of wild tigers living in natural landscapes.This allows the criminal activities of poaching wild tigers and their prey and trafficking in tiger derivatives to flourish and tiger landscapes to be diminished.The Global Tiger Recovery Program will support scaling up of practices already proven effective in one or more tiger range countries that need wider policy support,usually resources,and new transnational actions that enhance the effectiveness of individual country actions.The program is built on robust National Tiger Recovery Priorities that are grouped into themes:(i)strengthening policies that protect tigers;(ii)protecting tiger conservation landscapes;(iii)scientific management and monitoring;(iv)engaging communities;(v)cooperative management of international tiger landscapes;(vi)eliminating transnational illegal wildlife trade;(vii)persuading people to stop consuming tiger;(viii)enhancing professional capacity of policy-makers and practitioners;and(ix)developing sustainable,long-term financing mechanisms for tiger and biodiversity conservation.

Review of research methodologies for tigers:Telemetry

Over the past half century,wildlife research has relied on technological advances to gain additional insight into the secretive lives of animals.This revolution started in the 1960s with the development of radio telemetry and continues today with the use of Global Positioning System(GPS)-based research techniques.In the present paper we review the history of radio telemetry from its origins with grizzly bears in Yellowstone to its early applications in tiger research and conservation in Asia.We address the different types of data that are available using radio telemetry as opposed to using other research techniques,such as behavioral observations,camera trapping,DNA analysis and scat analysis.In the late 1990s,the rapid development of GPS collar technology revolutionized wildlife research.This new technology has enabled researchers to dramatically improve their ability to gather data on animal movements and ecology.Despite the ecological and conservation benefits of radio telemetry,there have been few telemetry studies of tigers in the wild,and most have been on the Bengal or Amur subspecies.We close with an assessment of the current tiger conservation efforts using GPS technology and discuss how this new information can help to preserve tigers for future generations.

Density and carrying capacity in the forgotten tigerland:Tigers in the understudied Nepalese Churia

While there are numerous wildlife ecology studies in lowland areas of Nepal,there are no in-depth studies of the hilly Churia habitat even though it comprises 7642 km2 of potential wildlife habitat across the Terai Arc.We investigated tiger,leopard and prey densities across this understudied habitat.Our camera trapping survey covered 536 km2 of Churia and surrounding areas within Chitwan National Park(CNP).We used 161 trapping locations and accumulated 2097 trap-nights in a 60-day survey period during the winter season of 2010-2011.In addition,we walked 136 km over 81 different line transects using distance sampling to estimate prey density.We photographed 31 individual tigers,28 individual leopards and 25 other mammalian species.Spatial capture-recapture methods resulted in lower density estimates for tigers,ranging from 2.3 to 2.9 tigers per 100 km2,than for leopards,which ranged from 3.3 to 5.1 leopards per 100 km2.In addition,leopard densities were higher in the core of the Churia compared to surrounding areas.We estimated 62.7 prey animals per 100 km2 with forest ungulate prey(sambar,chital,barking deer and wild pig),accounting for 47%of the total.Based on prey availability,Churia habitat within CNP could potentially support 5.86 tigers per 100 km2 but our density estimates were lower,perhaps indicating that the tiger population is below carrying capacity.Our results demonstrate that Churia habitat should not be ignored in conservation initiatives,but rather management efforts should focus on reducing human disturbance to support higher predator numbers.