Northwestern Yunnan Research Articles

Analysis of Microbial Diversity and Community Structure of Rhizosphere Soil of Three Astragalus Species Grown in Special High-Cold Environment of Northwestern Yunnan, China.

Astragalus is a medicinal plant with obvious rhizosphere effects. At present, there are many Astragalus plants with high application value but low recognition and resource reserves in the northwestern area of Yunnan province, China. In this study, metagenomics was used to analyze the microbial diversity and community structure of rhizosphere soil of A. forrestii, A. acaulis, and A. ernestii plants grown in a special high-cold environment of northwestern Yunnan, China, at different altitudes ranging from 3225 to 4353 m. These microbes were taxonomically annotated to obtain 24 phyla and 501 genera for A. forrestii, 30 phyla and 504 genera for A. acaulis, as well as 39 phyla and 533 genera for A. ernestii. Overall, the dominant bacterial phyla included Proteobacteria, Actinobacteria, and Acidobacteria, while the dominant fungal ones were Ascomycota and Basidiomycota. At the genus level, Bradyrhizobium, Afipia, and Paraburkholderia were the most prevalent bacteria, and Hyaloscypha, Pseudogymnoascus, and Russula were the dominant fungal genera. Some of them are considered biocontrol microbes that could sustain the growth and health of host Astragalus plants. Redundancy analysis revealed that pH, TN, and SOM had a significant impact on the microbial community structures (p < 0.05). Finally, triterpene, flavonoid, polysaccharide, and amino acid metabolisms accounted for a high proportion of the enriched KEGG pathways, which possibly contributed to the synthesis of bioactive constituents in the Astragalus plants.

Ligularialushuiensis (Asteraceae, Senecioneae), a new species from northwestern Yunnan, China.

Ligularialushuiensis, a new species from northwestern Yunnan, China, is described and illustrated. It was tentatively placed in L.sect.Ligulariaser.Ligularia on the basis of the pinnate-palmate leaf venation, racemose synflorescence and pappus which is as long as tubular corolla. Within the series, it appeared somewhat close to both L.lamarum and L.pseudolamarum. However, L.lushuiensis can be easily distinguished from the latter two species by, among other characters, the leaf margin, bract size, involucre shape and size, and number and width of ray florets. Morphologically, L.lushuiensis is also superficially similar to L.secunda but differs readily by having distally shortly yellowish and brownish puberulent stems, palmately-pinnately veined leaves regularly dentate at margin, scarious, brown and larger bracts, and larger ray laminae. In addition, a distribution map and a diagnostic key to Chinese species of L.ser.Ligularia are also provided.

Exploring tourist spatiotemporal behavior differences and tourism infrastructure supply–demand pattern fusing social media and nighttime light remote sensing data

ABSTRACT Increased tourism forms subdivide the tourism market. Therefore, distinguishing spatiotemporal behaviors of different types of tourists is of great significance for tourism marketing and planning. In this study, we constructed a Spatial–Temporal-Preference model based on spatial clustering, seasonal-trend decomposition and statistical analysis, using multi-source data. It provides a novel frame for comparing tourist behavioral characteristics from a new perspective. Meanwhile, providing a method to rapidly identify the Tourism Infrastructure Supply and Demand Pattern (TISDP) fusing nighttime light and social media data. Then the framework was applied to analyze the differences between sightseeing tourists (STs) and cycling tourists (CTs) in Yunnan Province, China. The results showed clear spatial differences in location popularity and flow data with STs favoring northwestern Yunnan, and CTs favoring eastern Yunnan. Tourist behavior varied also seasonally and tourists preferred visiting minority areas or areas with better infrastructure. The tourism industry in the study area developed rapidly after 2013, although still with an unbalanced infrastructure supply and demand. The CTs loss areas were greater in northeastern and northwestern Yunnan and south of Kunming. The proposed methods help to identify differences in tourism activities and has important implications to tourism infrastructure planning and sustainable development.

Drought-related wildfire accounts for one-third of the forest wildfires in subtropical China

The threat of wildfires to human safety and ecosystem services is widely known to increase due to climate change characterized by drought. In subtropical China, seasonal drought during the non-monsoon period contributes to increase of fire risk. However, both the relationship between drought and wildfire and the extent of drought effect are poorly understood. Based on satellite active fire detections and monthly drought metrics, we quantified the impact of drought on forest wildfire frequency in subtropical China during 2001–2020, using a Bayesian hierarchical modelling framework. We observed excess wildfire, defined here as above normal wildfire activity level, is significantly correlated to drought across subtropical China, and drought-wildfire relationship showed threshold behavior that the probability of excess wildfire increased significantly when the vapor pressure deficit (VPD) crossed 0.24 standard deviations of its long-term average. From 2001 to 2020, excess wildfire caused by drought accounted for approximately 31 % of the total number of forest fire points during the fire season (November to May). The drought-related excess wildfire was concentrated in 2007–2010 and 2014, and their spatial distribution showed a dipole between the western and eastern subtropical China in individual years. Moreover, we evaluated the spatiotemporal sensitivity of wildfire to drought by Bayesian model coefficients. There was higher sensitivity than average level of the entire region in 54 % of subtropical China, especially in northwestern Yunnan. Our results indicate that drought plays a dominant role on wildfire regime at the regional scale in subtropical China. As the drying trend intensifies in the future, wildfires will show different patterns due to the large differences in the sensitivity of wildfire to drought in subtropical China.

Corrigendum: Elevation, aspect, and slope influence woody vegetation structure and composition but not species richness in a human-influenced landscape in northwestern Yunnan, China

Corrigendum: Elevation, aspect, and slope influence woody vegetation structure and composition but not species richness in a human-influenced landscape in northwestern Yunnan, China

The complete chloroplast genome sequence of Pinus bhutanica (Pinaceae) and its phylogenetic implications

Pinus bhutanica is a critically endangered conifer and occurs only in central Bhutan, northwestern Yunnan and southeastern Xizang in China. In this study, the complete chloroplast genome of Pinus bhutanica was first assembled based on next-generation sequencing. The genome sequence was 116,919 bp in length with an overall GC content of 38.75%. A total of 106 functional genes were detected in the genome, including 72 protein-coding genes (PCGs), 30 transfer RNA (tRNA) genes, and four ribosomal RNA (rRNA) genes. The phylogenetic tree reconstructed by 12 chloroplast genomes revealed that P. bhutanica is most closely related to Pinus wangii in subsection Strobus of Pinus.

First Account of the Breeding Biology of Indian Blue Robin (Larvivora brunnea) in Southwest China.

Breeding biology lies at the core of life history research on birds, and it provides important information for avian conservation. We discovered one nest of the Indian Blue Robin (Larvivora brunnea) on 28 May 2021, at the Laojun mountains in Lijiang, northwestern Yunnan, China. Field observation was combined with the use of a GoPro camera for video shooting to quantitatively study the incubation and brooding behavior. We also conducted measurements of the eggs and nestlings on site and inspected the nesting materials used. A bowl-shaped nest with four eggs was located at 2830 m in the evergreen deciduous broad-leaved forest. All eggs were successfully incubated and two nestlings fledged on 22 June 2021, resulting in a total breeding success of 50%. Only the female bird incubated the eggs and brooded the nestlings. The incubation period was at least 13 days and the nestling period was 13 days. As incubation progressed, the incubation bout duration decreased. During the incubation period, the nesting time of the female bird shows a declining trend as incubation progresses. Both parents participated in feeding the nestling, and the frequency of parental supply increased with the maturity of the nestling.

A New Species of Nanorana (Anura: Dicroglossidae) from Northwestern Yunnan, China, with Comments on the Taxonomy of Nanorana arunachalensis and Allopaa.

The genus Nanorana contains three subgenera, namely Nanorana, Paa, and Chaparana, and currently, there are four species known to science in Nanorana (Nanorana). In this study, we describe a new species belonging to the subgenus Nanorana from northwestern Yunnan, China. Phylogenetically, the new species, Nanorana laojunshanensissp. nov., is the sister to the clade of N. pleskei and N. ventripunctata. Morphologically, the new species can be distinguished from known congeners by the combination of following characters: present tympanum, equal fingers I and II, small body size, yellow ventral surface of limbs, distinct vomerine teeth, indistinct subarticular tubercles, head width greater than head length, slender supratympanic fold, absent dorsolateral fold, nuptial spines present on fingers I and II in adult males, absent vocal sac, and paired brown spines on the chest. Moreover, we suggest moving the genus Allopaa into Nanorana (Chaparana) and consider that N. arunachalensis is neither an Odorrana species nor a member of the subfamily Dicroglossinae (therefore Nanorana), but probably represents a distinct genus closely related to Ingerana or belongs to Ingerana, pending more data. Additionally, we consider that Nanorana minica deserves the rank of an independent subgenus, and we suggest assigning N. arnoldi, N. blanfordii, N. ercepeae, N. polunini, N. rarica, N. rostandi, N. vicina, N. xuelinensis, and N. zhaoermii into the subgenus Paa and placing N. kangxianensis, N. phrynoides, and N. sichuanensis in the subgenus Chaparana.

Cylindrolobus gaoligongensis sp. nov. (Orchidaceae, Podochileae) from Yunnan, China, and improved description of C. arunachalensis

A new species of Cylindrolobus (Orchidaceae), C. gaoligongensis from the Gaoligong Mountain, northwestern Yunnan, China, is described and illustrated. It is morphologically similar to C. arunachalensis and C. gloensis, but can be distinguished from them by having orange to pink and triangular‐ovate lip mid‐lobe with mucronate apex, front margin of lateral lobes yellow to white and with short glandular hairs gradually transitioning to dense long hairs, two central calli connected to a keel toward mid‐lobe in the disk, and three rows of white long hairs at the base of the disk. Additionally, an improved description and illustration of the closely related species C. arunachalensis, is also provided.

Prediction of Oncomelania hupensis distribution in association with climate change using machine learning models

BackgroundOncomelania hupensis is the sole intermediate host of Schistosoma japonicum. Its emergence and recurrence pose a constant challenge to the elimination of schistosomiasis in China. It is important to accurately predict the snail distribution for schistosomiasis prevention and control.MethodsData describing the distribution of O. hupensis in 2016 was obtained from the Yunnan Institute of Endemic Disease Control and Prevention. Eight machine learning algorithms, including eXtreme Gradient Boosting (XGB), support vector machine (SVM), random forest (RF), generalized boosting model (GBM), neural network (NN), classification and regression trees (CART), k-nearest neighbors (KNN), and generalized additive model (GAM), were employed to explore the impacts of climatic, geographical, and socioeconomic variables on the distribution of suitable areas for O. hupensis. Predictions of the distribution of suitable areas for O. hupensis were made for various periods (2030s, 2050s, and 2070s) under different climate scenarios (SSP126, SSP245, SSP370, and SSP585).ResultsThe RF model exhibited the best performance (AUC: 0.991, sensitivity: 0.982, specificity: 0.995, kappa: 0.942) and the CART model performed the worst (AUC: 0.884, sensitivity: 0.922, specificity: 0.943, kappa: 0.829). Based on the RF model, the top six important variables were as follows: Bio15 (precipitation seasonality) (33.6%), average annual precipitation (25.2%), Bio2 (mean diurnal temperature range) (21.7%), Bio19 (precipitation of the coldest quarter) (14.5%), population density (13.5%), and night light index (11.1%). The results demonstrated that the overall suitable habitats for O. hupensis were predominantly distributed in the schistosomiasis-endemic areas located in northwestern Yunnan Province under the current climate situation and were predicted to expand north- and westward due to climate change.ConclusionsThis study showed that the prediction of the current distribution of O. hupensis corresponded well with the actual records. Furthermore, our study provided compelling evidence that the geographical distribution of snails was projected to expand toward the north and west of Yunnan Province in the coming decades, indicating that the distribution of snails is driven by climate factors. Our findings will be of great significance for formulating effective strategies for snail control.Graphical

Influence of Lisu People’s Religious Beliefs on their Traditional Medicine

The Lisu, inhabitants of Nujiang River Canyon in China’s northwestern Yunnan Province, believe in three set of religious beliefs: their own primitive religion, Christianity and Catholicism, introduced by Western missionaries in the 18th century (Yang et al. (Eds.), 1993). Religious convictions permeate all aspects of life conducted by Lisu and do have a profound impact upon various aspects of their traditional culture. The present article explores how religious tenets have helped shape and have affected traditional Lisu medicine, investigating the relationship between religion, culture, and traditional medicine, tracking the path from Lisu ancient history down to modern times.

Taxonomic and phylogenetic perspectives reveal the community assembly of different forest strata along an altitudinal gradient

AbstractDisentangling the distribution patterns of biodiversity along altitudinal gradients and their drivers has been a hot topic in ecological research. Different forest strata show multiple distribution patterns influenced by different community assembly mechanisms. Here, we measure the dominant ecological processes affecting three forest strata (tree, shrub, and herb layers) along altitudinal gradients. We sampled plants with different forest strata in 21 plots located from 2500 to 3700 m in Lasha Mountain, northwestern Yunnan. The taxonomic alpha diversity of the herb layer showed a monotonic decreasing trend with increasing altitude, while the shrub layer was characterized by a single peak, and the tree layer showed no significant change with increasing altitude. We observed a decreasing pattern of phylogenetic diversity with increasing altitude in the herb layer, whereas phylogenetic diversity did not change in the tree and shrub layers. The phylogenetic structure of these three layers showed the same pattern: phylogenetic clustering at low altitudes and overdispersion at middle and high altitudes. The diversity and phylogenetic structure of the herb layer were driven by climate (average dry season precipitation) and topographic (slope and aspect) factors, while shrub layer diversity was mainly influenced by tree layer richness. Overall, the phylogenetic structure pattern of the three forest strata changed from clustered to overdispersed with increasing altitude, indicating that environmental filtering was the main driver at low altitudes, while interspecific competition dominated at middle and high altitudes.

Distributional responses to climate change of two maple species in southern China.

Climate change is a major factor affecting biodiversity and species distribution, particularly of montane species. Species may respond to climate change by shifting their range to higher elevations. The southeastern Qinghai-Tibetan Plateau (QTP) and the Hengduan Mountains are considered as global biodiversity hotspots. However, information on the response of maple species to climate change in these regions was limited. Therefore, we selected two maple species that occur there and assessed changes in their habitat suitability under past, present and future climate scenarios in Biomod2. The results showed that temperature seasonality (bio4) was the most critical factor influencing their potential distributions. The distribution of potentially suitable habitat for Acer caesium and Acer stachyophyllum was predicted to be larger during the LGM compared to the present. Under the current climate scenario, the largest areas of potentially suitable habitat for these species were mainly located in southeastern Tibet, the Hengduan Mountains in northwestern Yunnan and western Sichuan, the Qinling-Daba Mountains in southern Gansu and the Wumeng-Daliang Mountains in northeastern Yunnan, western Guizhou and southeastern Sichuan. Under future climate change scenarios, the predicted loss of suitable habitat areas for these two species ranged from 13.78% to 45.71% and the increase ranged from 18.88% to 57.98%, with an overall increasing trend. The suitable habitat areas were predicted to shift towards the eastern parts of the QTP under both the pessimistic and optimistic future climate change scenarios in the 2050s and the 2070s, which became evident as global warming intensified, particularly in the eastern QTP and the Hengduan Mountains. Our results highlight the possibility that the diverse topography along altitudinal gradients in the QTP and the Hengduan Mountains may potentially mitigate the range contraction of mountain plants in response to climate warming. These findings provide a basis for planning conservation areas, planting and species conservation in the mountainous areas of southern China under the anticipated global warming.

Heavy metals distribution characteristics, source analysis, and risk evaluation of soils around mines, quarries, and other special areas in a region of northwestern Yunnan, China

In this study, based on the assessment of soil heavy metals (HMs) pollution using relevant indices, a comprehensive approach combined network environ analysis (NEA), human health risk assessment (HHRA) method and positive definite matrix factor (PMF) model to quantify the risks among ecological communities in a special environment around mining area in northwest Yunnan, calculated the risk to human health caused by HMs in soil, and analyzed the pollution sources of HMs. The integrated risks for soil microorganisms, vegetations, herbivores, and carnivores were 2.336, 0.876, 0.114, and 0.082, respectively, indicating that soil microorganisms were the largest risk receptors. The total hazard indexes (HIT) for males, females, and children were 0.542, 0.591, and 1.970, respectively, revealing a relatively high and non-negligible non-carcinogenic risks (NCR) for children. The total cancer risks (TCR) for both females and children exceeded 1.00E-04, indicating that soil HMs posed carcinogenic risks (CR) to them. Comparatively, Pb was the high-risk metal, accounting for 53.76%, 57.90%, and 68.09% of HIT in males, females, and children, respectively. PMF analysis yielded five sources of pollution, F1 (industry), F2 (agriculture), F3 (domesticity), F4 (nature), and F5 (traffic).

Chemical Compositions of Eupatorium heterophyllum Leaf Samples from Yunnan and Sichuan Provinces of China-Isolation of 13 New Sesquiterpene Lactones.

Eight samples of Eupatorium heterophyllum leaves were collected at different locations in Yunnan and Sichuan provinces in China, and their chemical constituents were investigated. Thirteen previously undescribed sesquiterpene lactones-seven germacranolides, three eudesmanolides, two guaianolides, and a 2-norelemanolide-were isolated, and their structures were elucidated based on extensive spectroscopic analyses. The major constituents in the six samples from northwestern Yunnan and Sichuan are hiyodorilactones A and B, whereas that in the two samples from the region near Kunming, Yunnan is eupatoriopicrin. These results and previously reported results suggest the presence of locality-dependent intra-specific diversity in the chemical constituents of E. heterophyllum leaves.

Varicosporellopsis shangrilaensis sp. nov. (Nectriaceae, Hypocreales), a new terricolous species isolated from the rhizosphere soil of Astragalus polycladus in northwestern Yunnan, China

Two fungal strains were isolated from the rhizosphere soil of a Chinese medicinal herb plant, Astragalus polycladus, in northwestern Yunnan, China. Both of them were identified as a new fungal species of Varicosporellopsis based on the evidence of morphology and phylogenetic analysis of ITS, LSU, TUB and ACT sequences data. Phylogenetic analysis of combined ITS and LSU sequence data revealed that strains MTF 7 and KLF 01 belong to the genus Varicosporellopsis with the highest sequence similarity (95.51%) to the type strain V. americana CBS 148257 and formed a sister lineage to V. americana CPC 40768 with high support values (100% ML, 1.00 BI). Morphologically, V. shangrilaensis is characterized by macronematous, branched conidiophores, phialidic conidiogenous cells, reniform macroconidia and spherical microconidia. This new species is the first reported of Varicosporellopsis in China. The morphological description, illustrations and phylogenetic analysis of V. shangrilaensis are provided in this study.

Estimation of terrestrial heat flow in hydrothermally active areas based on long-term bedrock temperature observations: a case study of northwestern Yunnan, China

Terrestrial heat flow plays an important role in the study of plate tectonics, geothermal resource exploration and earthquake genesis. The measurement of terrestrial heat flow usually utilizes deep boreholes, which is expensive and inconvenient for high altitudes or mountainous terrain. In hydrothermally active areas, the temperature distribution is disturbed by heat convection, resulting in difficulty in obtaining conductive heat flow. In fact, heat can be used as a tracer to quantify groundwater flow. This article presents a method for calculating terrestrial heat flow suitable for hydrothermally active areas, which can correct the influence of groundwater flow to obtain the conductive heat flow reflecting the deep thermal background. The method uses temperature-time series at multiple depths of the shallow crust to calculate the groundwater flow rate. The convective heat flux component is then removed based on information on groundwater movement, and the conductive heat flow can be acquired. The feasibility of the method is verified by a theoretical model. This method has been applied to estimate terrestrial heat flows in northwestern Yunnan, China, which is a hydrothermally active area. The heat flow obtained through our method range from 54.5 to 130.3 mW/m2, with an average of 94.5 mW/m2, consistent with the high-quality measured heat flow values in the boreholes. This study provides new perspectives for acquiring terrestrial heat flow in areas that are affected by fluid activities.

New evidence of early Holocene naturalistic rock art in Jinsha River valley, southwestern China

More than 70 rock painting sites have been discovered in the Jinsha River valley in northwestern Yunnan Province of southwestern China. These sites are dominated by naturalistic animal paintings and display certain similarities with the oldest hunting–gathering rock art discovered across the world. The Baiyunwan rock shelter is representative of the corpus of the Jinsha rock-art sites, comprising 15 identifiable naturalistic animal paintings in addition to several unidentifiable paintings. However, to date, the age estimation of these precious rock paintings lacks precision. Thus, this study performed U-series dating of carbonate samples (in total, 32 subsamples) to constrain the minimum and maximum ages of the Baiyunwan rock paintings. The U-series ages were corrected with a site-specific value of the initial 230Th/232Th ratio determined by isochron analyses, and the age reliability was evaluated by stratified dating analyses. Moreover, we used Bayesian age modeling to combine the individual age estimates and considered previously published data. The age range of the Baiyunwan rock paintings was determined as 7.09–8.93 ka, with a probability of 95 %. This age estimate corresponds to the late painting phase documented at Wanrendong Cave (∼8.37–8.70 ka), located within the same region, and provides new evidence for early Holocene naturalistic rock paintings in the Jinsha River valley, Yunnan, southwestern China.

Volatile metabolome and transcriptome reveal fragrance release rhythm and molecular mechanisms of Rosa yangii

Rose is a highly significant ornamental plant with substantial edible and medicinal value, cultivated worldwide primarily for perfume production. Recently, Rosa yangii, a new species found in northwestern Yunnan, China, has drawn attention due to its strong sweet scented flowers. In this study, the floral components of R. yangii were extracted at different flowering stages using solid phase micro extraction (SPME) and analyzed through gas chromatography–mass spectrometry (GC–MS). A total of 131 volatile organic compounds (VOCs) were detected from R. yangii, including 69 odor compounds. The production and release of floral VOCs were the highest during the initial-open stage, making it the most suitable time for harvesting as a significant number of floral components were synthesized and preserved. The analysis of the odor activity values (OAV) highlighted several key aromatic ingredients of R. yangii, such as eugenol, methyleugenol, benzeneacetaldehyde and phenylethylalcohol, heptanal, decanal, (E)-2-hexen-1-yl acetate, caryophyllene, and others. Metabolome and time-order gene co-expression networks (TO-GCN) revealed that VOCs and benzenoids/phenylpropanoids, along with associated genes, played a pivotal role in the overall floral regulatory network of R. yangii. MYB and bHLH were identified as the essential regulatory factors governing the regulation of eugenol synthase (EGS) and isoeugenol synthase (IGS), consequently influencing the sweet scent of R. yangii. The findings of this study provide a scientific foundation for enhancing fragrance through molecular breeding of ornamental plants. Furthermore, the study facilitated the development and utilization of this new plant’s essential oil material in various industries, including food storage, aromatherapy, cosmetic, and perfumery.

Elevation, aspect, and slope influence woody vegetation structure and composition but not species richness in a human-influenced landscape in northwestern Yunnan, China

Elevation-for-latitude substitution offers a tool for studying the influence of temperature and precipitation variability on vegetation structure and composition. Understanding how elevation, aspect, and slope influence vegetation patterns may help in predicting how climate change influences human forest usage and in developing strategies for ensuring the sustained provision of ecosystem services. However, most ecological studies have been carried out in protected areas, leaving forest areas used by humans to lesser attention. Therefore, we asked how elevation, aspect, and slope impact the vegetation on a human-influenced mountain. We measured woody vegetation size, richness, and composition on a mountain with plots set systematically in four cardinal directions at 100-m elevational intervals from the peak, from 1900 to 4200 m above sea level, in the Hengduan Mountains in eastern Himalaya, southwestern China. We quantified how tree maximum height, basal area, aboveground biomass (AGB), tree and shrub species richness, and woody species composition changed with elevation, aspect, and slope. Based on generalized linear models, the maximum tree height, tree basal area, and woody species AGB followed a unimodal trend along elevational gradients, with tree height and basal area peaking at 3100 m, while AGB was highest at 3300 m and somewhat higher on the southern slope. Basal area increased with slope degree. Neither tree nor shrub species richness was influenced by elevation, aspect, or slope. According to canonical correspondence analysis and TWINSPAN classification, elevation and north-south orientation of the slope were major factors influencing woody species compositions, and vegetation was classified into five types of communities. Our results indicated that the influences of elevation, aspect, and slope on woody vegetation structure were similar in a human-influenced forested mountain area as in protected mountain landscapes based on the literature. However, as forests in this area are used more intensively at low and middle elevations of the southern and western slopes, where aridity restricts tree size and AGB, climate change is likely to challenge traditional harvesting practices and place pressure on moving forest usage to higher altitudes.