Improvement of YOLO v8 Segmentation Algorithm and Its Study in the Identification of Hazards in Plateau Pika DOI Creative Commons

Yaosheng Han,

Yunpeng Jin, Chunmei Li

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(23), P. 11088 - 11088

Published: Nov. 28, 2024

Rodent infestation has become one of the important factors in grassland degradation on Qinghai–Tibet Plateau, hindrances to ecological and environmental protection, a threat balance development ecosystem Sanjiangyuan region. Based need for scientific planning this paper designs method detecting rodent plateau scenarios. Firstly, data were collected annotated, dataset distribution Qinghai region was constructed. The include videos captured through drone-based field surveys, which processed using OpenCV annotated with LabelMe. is categorized into four specific types: ungobbled rat holes, gobbled rocks, cow dung. This categorization allows model effectively differentiate between rodent-related features other elements, crucial segmentation task. Secondly, latest algorithm provided by YOLO v8 improved design that can accurately detect scene. improvements are as follows: firstly, Contextual Transformer module introduced improve global modeling capability; secondly, DRConv dynamic region-aware convolution convolutional representation thirdly, attention mechanism incorporated backbone enhance feature extraction capability network capability. A comparison test original showed new detection accuracy from 77.9% 82.74% MIoU 67.65% 72.69% dataset. evaluation damage levels been greatly improved.

Language: Английский

Simulation and response mechanism of potential geographical distribution of plateau pika Ochotona curzoniae under climate change DOI Creative Commons

Yanni Song,

Hainan Chong, Dawei Wang

et al.

Global Ecology and Conservation, Journal Year: 2025, Volume and Issue: 57, P. e03409 - e03409

Published: Jan. 1, 2025

Language: Английский

Citations

1

Effects of Climate Change on the Spatial Distribution of the Threatened Species Rhododendron purdomii in Qinling-Daba Mountains of Central China: Implications for Conservation DOI Open Access
Hao Dong, N. T. Zhang,

Simin Shen

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(4), P. 3181 - 3181

Published: Feb. 9, 2023

The plant species in the mountainous regions might be relatively more vulnerable to climate change. Understanding potential effects of change on keystone species, such as Rhododendron subalpine and alpine ecosystems, is critically important for montane ecosystems management conservation. In this study, we used maximum entropy (MaxEnt) model, 53 distribution records, 22 environmental variables predict impacts endemic purdomii China. main affecting habitat suitability R. were altitude, temperature seasonality, annual precipitation, slope, isothermality. Our results found suitable areas concentrated continuously Qinling-Daba Mountains Central China under different scenarios, indicating that these could potentially long-term refugia species. will expand SSP126 (2070s), SSP585 (2050s), (2070s) but may negatively influenced (2050s) scenario. Moreover, changes showed pattern northward shift west–east migration response change, mainly limited marginal distribution. Finally, conservation strategies, protection assisted migration, are recommended. findings shed light biotic responses region provide guidance effective other endangered tree

Language: Английский

Citations

16

Monitoring Plateau Pika and Revealing the Associated Influencing Mechanisms in the Alpine Grasslands Using Unmanned Aerial Vehicles DOI Creative Commons
Xinyu Liu, Yu Qin, Yi Sun

et al.

Drones, Journal Year: 2025, Volume and Issue: 9(4), P. 298 - 298

Published: April 11, 2025

Plateau pika (Ochotona curzoniae, hereafter pika) is a key species in the alpine grasslands on Qinghai-Tibetan (QTP). They are susceptible to influence of external disturbance and may present great variation, which important evaluate their ecological role grasslands. However, our knowledge regarding interannual variation influencing mechanism still limited due lack long-term observation density. This study aimed investigate spatiotemporal variations associated factors by aerial photographing at 181 sites Gannan Tibetan Autonomous Prefecture 2016, 2019, 2022. Our findings showed that: (1) primarily distributed central northeastern Maqu County southwestern part Luqu County, average density was range 9.87 ha−1 14.43 from 2016 2022; (2) high were found 1.22 3.61 °C for annual mean temperature, 12.86 15.06 diurnal temperature range, 3400 3800 m DEM less than 3° slope; (3) varied response changes precipitation driest month different years. results concluded that significant variations, climate terrain variables dominantly affected Given fluctuation responses these variables, suggested monitoring crucial reveal real distribution, habitat environment, Moreover, unmanned vehicles cost-effective tools pika.

Language: Английский

Citations

0

Phylogeography of the Plateau Pika (Ochotona curzoniae) in Response to the Uplift of the Qinghai-Tibet Plateau DOI Creative Commons
Yinglian Qi,

Xiaoyan Pu,

Zhilian Li

et al.

Diversity, Journal Year: 2023, Volume and Issue: 15(2), P. 307 - 307

Published: Feb. 20, 2023

The evolution and current distribution of species on the Qinghai-Tibet Plateau have been significantly impacted by historical occurrences, including uplift plateau Quaternary climate upheaval. As a remnant species, pika (Ochotona curzoniae) is great model for researching events. In this study, 302 samples from 42 sample sites were utilized to analyze impact events pattern pikas. genetic diversity, patterns differentiation, dynamics investigated using molecular markers that included four mitochondrial genes (COI, D-loop, Cytb, 12S rRNA) three nuclear (GHR, IRBP, RAG1). results showed that: (1) diversity was high in Tibetan (Hd = 0.9997, π 0.01205), evolved into five lineages occupied different geographical areas, with lineage 1 (Group 1) south Yarlung Zangbo River, 2 2) hinterland plateau, 3 3) northeastern part 4 4) Hengduan Mountains, 5 5) eastern plateau. (2) gene flow among low, differentiation level (Nm < 0.25; Fst > 0.25), indicating barriers between lineages, such as Qaidam-Ghuong-Guide Basin, Lancang effectively promoted population pika. (3) first spread Mountains entire then conducted small-scale migration dispersal several refuges across response changes during glacial interglacial periods. (4) Except Group 4, all other populations exhibited rapid expansion 0.06 0.01 Mya, but considerably delayed or halted effects change last maximum (0.02 Mya). Overall, exhibits topographic obstacles, mountains, valleys, basins, created climatic since period played an important role population.

Language: Английский

Citations

3

Predicting the Effects of Future Climate Change on the Potential Distribution of Eolagurus luteus in Xinjiang DOI Open Access

Qinghui An,

Jianghua Zheng,

Jingyun Guan

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(10), P. 7916 - 7916

Published: May 11, 2023

Eolagurus luteus (yellow steppe lemming Eversmann, 1840) is a keystone species in the desert of northern Xinjiang, one regions most affected by global climate change. Their behavior eating grassland vegetation and digging holes has resulted reduction soil erosion which seriously ecological balance pathogens carried E. pose great threat to human health. Climate change exacerbates uncertainty outbreak luteus. Predicting suitable habitat area this under scenarios will help farmers herders deal with potential an outbreak. In study, 117 actual occurrence points were used, 24 models, 6 factors 3 topographic from Coupled Model Intercomparison Project (CMIP6) taken into account. Combining MaxEnt model overlay analysis function ArcGIS software, geographic distribution 2030 2050 for green development path (SSP126), intermediate (SSP245), regional competition (SSP370), high (SSP585) was predicted. The trend pattern Xinjiang future conditions analyzed, main environmental affecting are discussed. results show that average curve (AUC) true skill statistics (TSS) 0.993 0.8816, respectively, indicating good prediction effect. showed geographical annual temperature, isotherm, temperature wettest quarter, driest precipitation variation coefficient. With increase radiation intensity time, areas continue decrease. Especially 2050s SSP585 scenario, middle decrease 2.58 × 104 km2 1.52 km2, respectively. Although shrinking, security health should not be underestimated due adaptation community frequent extreme weather. Therefore, studying changes developing appropriate monitoring programs importance This study fills gaps provides methodological literature support other rodents.

Language: Английский

Citations

2

Study on the Radioactivity Levels of Metal Tailings in the Lhasa Area of Tibet DOI Open Access
Rengui Weng, Feng Tian,

Guohong Chen

et al.

International Journal of Environmental Research and Public Health, Journal Year: 2023, Volume and Issue: 20(5), P. 4525 - 4525

Published: March 3, 2023

The main purpose of this study was to determine the natural radioactivity level raw radionuclides in metal tailings a mine Lhasa, Tibet, and conduct sampling detection 17 typical tailing mines Tibet. specific activity concentrations 226Ra, 232Th, 40K samples were calculated. total αβχγ radiation, radon concentration, outdoor absorbed dose rate air 1.0 m above ground measured. γ radiation levels affecting miners their surrounding residents assessed. results show that ranges from 0.08 μSv/h 0.26 μSv/h, concentration 10.8 Bq/m3 29.6 Bq/m3, which does not exceed national radiation-related standards, environmental hazard risk is low. 226Ra ranged 8.91 Bq/kg 94.61 Bq/kg, 232Th 2.90 89.62 less than MDA 762.89 Bq/kg. average (DO) mining areas 39.82 nGy/h, annual effective (EO) 0.057 mSv/y. external index 0.24, internal 0.34, 0.31, all maximum permissible limit. This means within limit for and, therefore, can be used bulk as major building materials without posing significant threat area.

Language: Английский

Citations

1

Improvement of YOLO v8 Segmentation Algorithm and Its Study in the Identification of Hazards in Plateau Pika DOI Creative Commons

Yaosheng Han,

Yunpeng Jin, Chunmei Li

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(23), P. 11088 - 11088

Published: Nov. 28, 2024

Rodent infestation has become one of the important factors in grassland degradation on Qinghai–Tibet Plateau, hindrances to ecological and environmental protection, a threat balance development ecosystem Sanjiangyuan region. Based need for scientific planning this paper designs method detecting rodent plateau scenarios. Firstly, data were collected annotated, dataset distribution Qinghai region was constructed. The include videos captured through drone-based field surveys, which processed using OpenCV annotated with LabelMe. is categorized into four specific types: ungobbled rat holes, gobbled rocks, cow dung. This categorization allows model effectively differentiate between rodent-related features other elements, crucial segmentation task. Secondly, latest algorithm provided by YOLO v8 improved design that can accurately detect scene. improvements are as follows: firstly, Contextual Transformer module introduced improve global modeling capability; secondly, DRConv dynamic region-aware convolution convolutional representation thirdly, attention mechanism incorporated backbone enhance feature extraction capability network capability. A comparison test original showed new detection accuracy from 77.9% 82.74% MIoU 67.65% 72.69% dataset. evaluation damage levels been greatly improved.

Language: Английский

Citations

0