- Apply for Authority
- P-ISSN2765-2203
- E-ISSN2765-2211
- KCI Candidate
Abstract
The degree distribution of the plant-pollinator network was identified by analyzing the data in the ecosystem and reproduced by a model of the growing bipartite mutualistic networks. The degree distribution of pollinator shows power law or stretched exponential distribution, while plant usually shows stretched exponential distribution. In the growth model, the plant and the pollinator are selected with probability Pp and PA=1–Pp, respectively. The number of incoming links for the plant and the pollinator is lp and lA, respectively. The probability that the link of the plant selects the pollinator of the existing network given as Aki =kλiA/∑ikλiA , and the probability that the pollinator selects the plant is Pki=kλip/∑ikλip. When the nonlinear growth index is λχ=1 (Χ=A or P), the degree distribution follows a power law, and if 0≤λχ<1, the degree distribution follows a stretched exponential distribution. The cumulative degree distributions of plants and pollinators of 14 empirical plant-pollinators included in Interaction Web Database were calculated. A set of parameters (PA,PP,lA,lP) that reproduces these cumulative degree distributions and a growth index λχ=1 (Χ=A or P) were obtained. We found that animal takes very heterogenous connections, whereas plant takes a more flexible connection network.
Abstract
Species distribution models are a useful tool for predicting future distribution and establishing a preemptive response of invasive species. However, few studies considered the possibility of habitat for the aquatic organism and the number of target sites was relatively small compared to the area. Environmental DNA (eDNA) is the emerging tool as the methodology obtaining the bulk of species presence data with high detectability. Thus, this study applied eDNA survey results of Micropterus salmoides and Lepomis macrochirus to species distribution modeling by seasons in the Anyang stream network. Maximum Entropy (MaxEnt) model evaluated that both species extended potential distribution area in October compared to July from 89.1% (12,110,675 m2) to 99.3% (13,625,525 m2) for M. salmoides and 76.6% (10,407,350 m2) to 100% (13,724,225 m2) for L. macrochirus. The prediction value by streams was varied according to species and seasons. Also, models elucidate the significant environmental variables which affect the distribution by seasons and species. Our results identified the potential of eDNA methodology as a way to retrieve species data effectively and use data for building a model.
Abstract
Psalidoremus is one of the subgenus which consists of five species and eleven subspecies through Taiwan, Japan, Korea and north eastern part of China which present strong endemism to their distribution. While most of advance studies focus on the new species or subspecies from this taxon, this paper suggests paleogeographical assumption and hypothesis of how they diverged from common ancestors. Phylogeographical patterns illustrated by the distribution of five species, which including Prosopocoilus inclinatus, Prosopocoilus hachijoensis, Prosopocoilus dissimilis, Prospocoilus pseudodissimilis, Prosopocoilus motschulskii respectively, has been assessed in this research. Speciation history is suggested by morphological tendencies especially in male mandibles with assumption from geographical patterns of under sea level.
Abstract
DNA markers have been studied and used intensively to identify plant species based on molecular approaches. The genus Medicago belongs to the family Fabaceae and contains 87 species distributed from the Mediterranean to central Asia. Five species of Medicago are known to be distributed in South Korea; however, their morphological characteristics alone cannot distinguish the species. In this study, we analyzed the phylogenetic relationships using collected five species of Medicago from South Korea and 44 taxa nucleotide information from NCBI. The constructed phylogenetic tree using gibberellin 3-oxidase 1 and tRNALys (UUU) to maturase K gene sequences showed the monophyly of the genus Medicago, with five species each forming a single clade. These results suggest that there are five species of Medicago distributed in South Korea. In addition, we designed polymerase chain reaction primers for species-specific detection of Medicago by comparing the plastid sequences. The accuracy of the designed primer pairs was confirmed for each Medicago species. The findings of this study provide efficient and novel species identification methods for Medicago, which will assist in the identification of wild plants for the management of alien species and living modified organisms.
Abstract
Two unrecorded fungi, Diaporthe perseae and Fusarium falciforme, were isolated from soil sampled from Dokdo in Korea. There have been many reports of Diaporthe sp. and Fusarium sp. in mainland Korea but none of them have reported in Dokdo so far. We used the morphological features and two molecular markers including the internal transcribed spacer and translation elongation factor 1-α region to compare and analyze these species with the closely related taxa. As a result, we confirmed that these fungi were unrecorded soil fungi in Korea. Then, the cultural and morphological characteristics such as the conidia of these two fungal species could be clarified. These results are expected to help us to understand the distribution of fungi in Dokdo and manage the Dokdo Island Natural Reserve.
Abstract
Most of the islands of Korea are distributed in the South and West Sea, and it consists of independent small stream. As a result, the fish community that inhabits the island's stream is isolated from the mainland and other island. This study utilized a Self-Organizing Map (SOM) and a random forest model to analyze the relationship between environmental variables and fish communities inhabiting islands in South Korea. Through the SOM analysis, the fish communities were divided into three clusters, and there were differences in biotic and abiotic factors between these groups. Cluster I consisted of sites with relatively larger island areas and a higher number of species and population. It was found that 15 out of 16 indicator species were included. Meanwhile, the remaining clusters had fewer species and populations. Cluster II, especially, showed the lowest impact from physical variables such as water width and depth. As a result of predicting the species richness using the random forest model, physical variables in habitats, such as stream width and water depth, had a relatively higher importance on species richness. On the other hand, forest area was the most important variables for predicting Shannon diversity, followed by maximum water depth, and gravel. The results suggest that this study can be used as basic data for establishing a stream ecosystem management strategy in terms of conservation and protection of biological resources in streams of islands.
Abstract
Natural habitats of the Korean long-tailed goral (Naemorhedus caudatus) have been fragmented by anthropogenic activities in South Korea in the last decades. Here, the individual identity, genetic variation, and population differentiation of the endangered species were examined via the multiple-tube approach using a non-invasive genotyping method. The average number of alleles was 3.16 alleles/locus for the total population. The Yanggu population (1.66) showed relatively lower average number of alleles than the Inje population (3.67). Of the total 19 alleles, only seven (36.8%) alleles were shared by the two populations. Using five polymorphic out of six loci, four and six different goral individuals from the captive Yanggu (n=24) and the wild Inje (n=28) population were identified, respectively. The allele distribution was not identical between the two populations (Fisher’s exact test: P<0.01). A considerably low migration rate was detected between the two populations (no. of migrants after correction for size=0.294). Additionally, the F statistics results indicated significant population differentiation between them, however, quite low ( FST=0.327, P<0.01). The posterior probabilities indicated that the two populations originated from a single panmictic population (P=0.959) and the assignment test results designated all individuals to both populations with nearly equal likelihood. These could be resulted from moderate population differentiation between the populations. No significant evidence supported recent population bottleneck in the total Korean goral population. This study could provide us with useful population genetic information for conservation and management of the endangered species.’
