scholarly journals Phylogeography of the Mauremys mutica complex and the implications for conservation management.

Author(s):  
Shiping Gong ◽  
Daniel Gaillard ◽  
Haitao Shi ◽  
Huaiqing Chen ◽  
Shu-Jin Luo ◽  
...  

For more than three decades, the Asian turtle crisis has resulted in the decline of every native species in China. For some species, such as the yellow pond turtle (Mauremys mutica), wild populations have dwindled to near functional extinction. Previous studies show there is deep genetic divergence of M. mutica sensu lato between populations north and south of the Pearl River Drainage but no data to show if phylogeographic structure occurs within these two main types. In this study, we found clear phylogeographic structure. In northern types, we found two main clades, corresponding to mainland China and island clades (Taiwan and Yaeyema Islands) with uncorrected p values of 0.00-2.0% divergence in our 2353 bp concatenated mtDNA data set. For the southern types, we found three main clades corresponding to Hainan, Mainland (Vietnam/Guangxi) and the Annam pond turtle (Mauremys annamensis) with divergence ranging from 1.0-1.8% among these three groups. Moreover, the identification of northern and southern types by phenotype was roughly 98% accurate, which, coupling with the deep genetic divergence in mtDNA (5.5-6.7%) and in the 6056 bp nuDNA data set (0.16-0.37%) provide sufficient evidence for northern M. mutica to be an independent species, and individuals from the southern clade should be regarded as subspecies of M. annamensis. Finally, we provide the most comprehensive database to date which can be used to determine the region of origin for captive stock. Making the large captive populations of M. mutica, under the right conditions, potentially valuable for restocking or augmentation of wild populations.

Oryx ◽  
2010 ◽  
Vol 44 (2) ◽  
pp. 261-266 ◽  
Author(s):  
Tien-Hsi Chen ◽  
Kuang-Yang Lue

AbstractBecause of burgeoning demand in the Chinese market and extensive habitat loss more than half of the freshwater turtle and tortoise species in Asia are categorized as Endangered or Critically Endangered on the IUCN Red List. To investigate the distribution and status of the native freshwater turtle species of Taiwan a trapping programme was conducted during 2001–2007, yielding a total of 1,828 individuals of four native species at 103 sites. Mauremys sinensis was the most abundant and widely distributed species; it was collected from 70 sites and accounted for 78.6% of all turtles captures. Mauremys mutica comprised 17.8% at 46 sites. Pelodiscus sinensis were captured in low numbers at 19 sites. No Mauremys reevesii were collected on the main island of Taiwan but the species was found on Kinmen Island near mainland China. Capture success was low at most sites and overall sex ratios were significantly male-biased in all species, suggesting that the freshwater turtles have suffered from the negative effects of habitat disturbance and extensive exploitation. Effective conservation measures are urgently required to ensure the viability of the native freshwater turtle species of Taiwan.


2007 ◽  
Vol 28 (4) ◽  
pp. 475-484 ◽  
Author(s):  
Guillermo Velo-Antón ◽  
César Ayres ◽  
Adolfo Cordero Rivera ◽  
Raquel Godinho ◽  
Nuno Ferrand

Abstract The pet trade is an important business around the world and one of the factors that might menace some wild populations. If wild animals are collected to maintain them as pets, this activity can produce several problems: i) an increase of population vulnerability, especially in the case of rare species; ii) the release of exotic pets in natural habitats, with the risk of competition with native species and the spreading of parasites and diseases, and iii) the maintenance of animals of unknown origin in Recovery Centres or zoos, which if too numerous are sacrificed or re-located to their supposed original regions. In this paper, we used seven microsatellite loci to analyze genetic diversity and genetic structure of the European pond turtle (Emys obicularis) covering the species range in the Iberian Peninsula. A Bayesian test revealed a genotypic differentiation between the regions sampled where most individuals (90%) were assigned to their sampling location with a probability higher than 95%. The likelihood values for individuals from Recovery Centres to came from one of our populations was higher than 90% in 22 out of 36 individuals. This work is a first step to relocate animals of unknown origin taking into account genetic similarities and contribute to reinforcement programs of endangered species.


2009 ◽  
Vol 32 (5) ◽  
pp. 649-656 ◽  
Author(s):  
Wei-Hua ZHAO ◽  
Xin-Ping ZHU ◽  
Cheng-Qing WEI ◽  
He-Jun DU ◽  
Yong-Le CHEN

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3519
Author(s):  
Yanbing Bai ◽  
Ning Ma ◽  
Shengwang Meng

The largest possible earthquake magnitude based on geographical characteristics for a selected return period is required in earthquake engineering, disaster management, and insurance. Ground-based observations combined with statistical analyses may offer new insights into earthquake prediction. In this study, to investigate the seismic characteristics of different geographical regions in detail, clustering was used to provide earthquake zoning for Mainland China based on the geographical features of earthquake events. In combination with geospatial methods, statistical extreme value models and the right-truncated Gutenberg–Richter model were used to analyze the earthquake magnitudes of Mainland China under both clustering and non-clustering. The results demonstrate that the right-truncated peaks-over-threshold model is the relatively optimal statistical model compared with classical extreme value theory models, the estimated return level of which is very close to that of the geographical-based right-truncated Gutenberg–Richter model. Such statistical models can provide a quantitative analysis of the probability of future earthquake risks in China, and geographical information can be integrated to locate the earthquake risk accurately.


2015 ◽  
Vol 27 (4) ◽  
pp. 2466-2467 ◽  
Author(s):  
Jian Zhao ◽  
Wei Li ◽  
Dandan Zhang ◽  
Ping Wen ◽  
Xinping Zhu

Author(s):  
Felix Grimm ◽  
Roland Ewert ◽  
Jürgen Dierke ◽  
Berthold Noll ◽  
Manfred Aigner

A new highly efficient, hybrid CFD/CAA approach for broadband combustion noise modeling is introduced. The inherent sound source generation mechanism is based on turbulent flow field statistics, which are determined from reacting RANS calculations. The generated sources form the right-hand side of the linearized Euler equations for the calculation of sound fields. The stochastic time-domain source reconstruction algorithm is briefly described with emphasis on two different ways of spatial discretization, RPM (Random Particle Method) and the newly developed FRPM (Fast RPM). The application of mainly the latter technique to combustion noise (CN) prediction and several methodical progressions are presented in the paper. (F)RPM-CN is verified in terms of its ability to accurately reproduce prescribed turbulence-induced one- and two-point statistics for a generic test and the DLR-A jet flame validation case. Former works on RPM-CN have been revised and as a consequence methodical improvements are introduced along with the progression to FRPM-CN: A canonical CAA setup for the applications DLR-A, -B and H3 flame is used. Furthermore, a second order Langevin decorrelation model is introduced for FRPM-CN, to avoid spurious high frequency noise. A new calibration parameter set for reacting jet noise prediction with (F)RPM-CN is proposed. The analysis shows the universality of the data set for 2D jet flame applications and furthermore the method’s accountance for Reynolds scalability. In this context, a Mach number scaling law is used to conserve Strouhal similarity of the jet flame spectra. Finally, the numerical results are compared to suitable similarity spectra.


2016 ◽  
Vol 51 (1) ◽  
pp. 26-50 ◽  
Author(s):  
Elena Slinko ◽  
Stanislav Bilyuga ◽  
Julia Zinkina ◽  
Andrey Korotayev

In this article, we re-analyze the hypothesis that the relationship between the type of political regime and its political instability forms an inverted U shape. Following this logic, consistent democracies and autocracies are more stable regimes, whereas intermediate regimes (anocracies) display the lowest levels of political stability. We re-test this hypothesis using a data set that has not been previously used for this purpose, finding sufficient evidence to support the hypothesis pertaining to the aforementioned U-shaped relationship. Our analysis is specifically focused on the symmetry of this U shape, whereby our findings suggest that the U-shaped relationship between regime types and sociopolitical destabilization is typically characterized by an asymmetry, with consistently authoritarian regimes being generally less stable than consolidated democracies. We also find that the character of this asymmetry can change with time. In particular, our re-analysis suggests that U-shaped relationship experienced significant changes after the end of the Cold War. Before the end of the Cold War (1946-1991), the asymmetry of inverted U-shaped relationship was much less pronounced—though during this period consistent authoritarian regimes were already less stable than consolidated democracies, this very difference was only marginally significant. In the period that follows the end of the Cold War (1992-2014), this asymmetry underwent a substantial change: Consolidated democracies became significantly more stable, whereas consolidated autocracies became significantly more unstable. As a result, the asymmetry of the U-shaped relationship has become much more pronounced. The article discusses a number of factors that could account for this change.


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