Mapping snow depth distribution from 1980 to 2020 on the tibetan plateau using multi-source remote sensing data and downscaling techniques

Ma, Ying; Huang, Xiao-Dong; Yang, Xia-Li; Li, Yu-Xin; Wang, Yun-Long; Liang, Tian-Gang

doi:10.1016/j.isprsjprs.2023.10.012

Cited by 8 publications

(5 citation statements)

References 96 publications

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“…The semiarid Andes of central Chile typically had absent snow at low elevations [39]. High-elevation mountain areas typically accumulate more snow and are, therefore, more affected by climate change, leading to dramatic snow drought events [26], [40], [41].…”

Section: Discussionmentioning

confidence: 99%

Snow Drought Patterns and Their Spatiotemporal Heterogeneity in China

Li,

Huang,

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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This study presents a snow drought assessment method using snow water equivalent products to examine the patterns and differences in snow drought events in China from 1980 to 2020. The findings indicate that snow drought changes over the past 40 years can be categorized into three stages: The most severe snow drought occurred in the 1980s, followed by alleviation until 2009, and a subsequent aggravation after 2010. Light snow drought has the widest distribution and shows an increasing trend, whereas medium, heavy, and extreme snow droughts decrease gradually but show a decrease followed by an increasing trend over time. The distribution of snow drought in China displays significant spatial heterogeneity, with areas such as Alxa League in Inner Mongolia, Hami, Turpan, Bayingol, Xinjiang, and the Tibetan Plateau hinterland experiencing frequent snow drought events. Moreover, the low-altitude region has the largest average annual proportion of extreme drought, whereas the high-altitude region has the highest proportion of heavy drought. Among the three snow-dominant areas, Northern Xinjiang has the largest proportion of snow drought areas. The Northeast-Inner Mongolia has the highest proportion of extreme drought while the Tibetan Plateau exhibited abrupt changes in snow drought occurrence. These results contribute to a better understanding of the underlying mechanisms of snow drought changes, as well as serve as a foundation for the protection of the ecological environment.

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Section: Discussionmentioning

confidence: 99%

Snow Drought Patterns and Their Spatiotemporal Heterogeneity in China

Li,

Huang,

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…To ensure the timeliness of the specimen data, we selected and recorded plant sample sites from the GBIF within Continental China, using latitude and longitude coordinates. We then cross-referenced the distribution range of the studied species mentioned in the relevant literature [ 14 , 15 ] and supplemented the data with information from the second Qinghai–Tibet scientific survey. To reduce sampling bias, redundant distributed sample points were screened by establishing a 5 × 5 km buffer using ArcGIS 10.8.…”

Section: Methodsmentioning

confidence: 99%

“…The Qinghai–Tibet Plateau (QTP), located at 67–105° E and 25–40° N, is a crucial region for G. orchidis distribution. With an average elevation of over 4000 m above sea level, the QTP exhibits distinctive characteristics, including high altitude, diverse vegetation distribution, and pronounced zonal differences [ 13 , 14 , 15 ]. The eastern and southeastern regions of the QTP are renowned for their abundant plant biodiversity.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Historical, Current, and Future Configuration of Tibetan Medicinal Herb Gymnadenia orchidis Based on the Optimized MaxEnt in the Qinghai–Tibet Plateau

Li,

Zhang,

Yang

et al. 2024

Plants

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Climate change plays a pivotal role in shaping the shifting patterns of plant distribution, and gaining insights into how medicinal plants in the plateau region adapt to climate change will be instrumental in safeguarding the rich biodiversity of the highlands. Gymnosia orchidis Lindl. (G. orchidis) is a valuable Tibetan medicinal resource with significant medicinal, ecological, and economic value. However, the growth of G. orchidis is severely constrained by stringent natural conditions, leading to a drastic decline in its resources. Therefore, it is crucial to study the suitable habitat areas of G. orchidis to facilitate future artificial cultivation and maintain ecological balance. In this study, we investigated the suitable zones of G. orchidis based on 79 occurrence points in the Qinghai–Tibet Plateau (QTP) and 23 major environmental variables, including climate, topography, and soil type. We employed the Maximum Entropy model (MaxEnt) to simulate and predict the spatial distribution and configuration changes in G. orchidis during different time periods, including the last interglacial (LIG), the Last Glacial Maximum (LGM), the Mid-Holocene (MH), the present, and future scenarios (2041–2060 and 2061–2080) under three different climate scenarios (SSP126, SSP370, and SSP585). Our results indicated that annual precipitation (Bio12, 613–2466 mm) and mean temperature of the coldest quarter (Bio11, −5.8–8.5 °C) were the primary factors influencing the suitable habitat of G. orchidis, with a cumulative contribution of 78.5%. The precipitation and temperature during the driest season had the most significant overall impact. Under current climate conditions, the suitable areas of G. orchidis covered approximately 63.72 × 104/km2, encompassing Yunnan, Gansu, Sichuan, and parts of Xizang provinces, with the highest suitability observed in the Hengduan, Yunlin, and Himalayan mountain regions. In the past, the suitable area of G. orchidis experienced significant changes during the Mid-Holocene, including variations in the total area and centroid migration direction. In future scenarios, the suitable habitat of G. orchidis is projected to expand significantly under SSP370 (30.33–46.19%), followed by SSP585 (1.41–22.3%), while contraction is expected under SSP126. Moreover, the centroids of suitable areas exhibited multidirectional movement, with the most extensive displacement observed under SSP585 (100.38 km2). This study provides a theoretical foundation for the conservation of biodiversity and endangered medicinal plants in the QTP.

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“…To ensure the timeliness of the specimen data, we selected and recorded plant sample sites from GBIF within Continental China, using latitude and longitude coordinates. We then cross-referenced the distribution range of the studied species mentioned in relevant literature (Feng and Liu 2023;Ma and Huang 2023b) and supplemented the data with information from the second Qinghai-Tibet scientific survey. To reduce sampling bias, redundant distributed sample points were screened by establishing a 5×5 km buffer using ArcGIS 10.8.…”

Section: Species Distribution Datamentioning

confidence: 99%

“…The Qinghai-Tibet Plateau (QTP), located at 67-105°E and 25-40°N, is a crucial region for G. orchidis distribution. With an average elevation of over 4000 meters above sea level, the QTP exhibits distinctive characteristics such as high altitude, diverse vegetation distribution, and pronounced zonal differences, giving rise to a unique alpine ecosystem (Feng et al 2023;Li and Wang 2023;Ma et al 2023b).Moreover, the QTP serves as an ecological screen that is highly sensitive and vulnerable to climate variability, not only in China but also in Asia as a whole (Ma et al 2023a). Recent studies have indicated a warming and wetting trend in the QTP over the past 40 years, which is projected to continue.…”

Section: Introductionmentioning

confidence: 99%

Prediction of historical, current and future configuration of Gymnadenia orchidis 1 based on the optimized MaxEnt in the Qinghai-Tibet Plateau

LI,

Zhang,

Wang

et al. 2024

Preprint

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Gymnosia orchidis (G. orchidis) is a valuable Tibetan medicinal resource with significant medicinal, ecological, and economic value. However, the growth of G. orchidis is severely constrained by stringent natural conditions, leading to a drastic decline in its resources. Therefore, it is crucial to study the suitable habitat areas of G. orchidis to facilitate future artificial cultivation and maintain ecological balance. In this study, we investigated the suitable zones of G. orchidis based on 79 occurrence points in the Qinghai-Tibet Plateau (QTP) and 23 major environmental variables, including climate, topography, and soil type. We employed the Maximum Entropy model (MaxEnt) to simulate and predict the spatial distribution and configuration changes of G. orchidis during different time periods, including the last inter-glacial (LIG), the last glacial Maximum (LGM), the Mid-Holocene (MH), the present, and future scenarios (2041—2060 and 2061—2080) under three different climate scenarios (SSP126, SSP370, and SSP585). Our results indicated that annual precipitation (Bio12, 613—2466 mm) and mean temperature of the coldest quarter (Bio11, -5.8—8.5 °C) were the primary factors influencing the suitable habitat of G. orchidis, with a cumulative contribution of 78.5%. The precipitation and temperature during the driest season had the most significant overall impact. Under current climate conditions, the suitable areas of G. orchidis covered approximately 63.72×104/km², encompassing Yunnan, Gansu, Sichuan, and parts of Xizang provinces, with the highest suitability observed in the Hengduan, Yunlin, and Himalayan mountain regions. In the past, the suitable area of G. orchidis experienced significant changes during the Mid-Holocene, including variations in total area and centroid migration direction. In future scenarios, the suitable habitat of G. orchidis is projected to expand significantly under SSP370 (30.33%—46.19%), followed by SSP585 (1.41%—22.3%), while contraction is expected under SSP126. Moreover, the centroids of suitable areas exhibited multidirectional movement, with the most extensive displacement observed under SSP585 (100.38 km²). This research provides valuable insights for guiding the selection of introduced species, artificial cultivation, and resource conservation in the future, while also offering theoretical support for the protection of endangered species.

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Mapping snow depth distribution from 1980 to 2020 on the tibetan plateau using multi-source remote sensing data and downscaling techniques

Cited by 8 publications

References 96 publications

Snow Drought Patterns and Their Spatiotemporal Heterogeneity in China

Snow Drought Patterns and Their Spatiotemporal Heterogeneity in China

Prediction of Historical, Current, and Future Configuration of Tibetan Medicinal Herb Gymnadenia orchidis Based on the Optimized MaxEnt in the Qinghai–Tibet Plateau

Prediction of historical, current and future configuration of Gymnadenia orchidis 1 based on the optimized MaxEnt in the Qinghai-Tibet Plateau

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