scholarly journals The Photosynthetic Characteristics of Wild Cymbidium faberi in the Qinling Mountains of Central China

2020 ◽  
Author(s):  
Junyang Song ◽  
Ning Zhang
Keyword(s):  
Photosynthetic Characteristics ◽  
Central China ◽  
Qinling Mountains

scholarly journals Impact of Climate Change on Potential Distribution of Chinese White Pine Beetle Dendroctonus armandi in China

Forests ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 544
Author(s):  
Hang Ning ◽  
Ming Tang ◽  
Hui Chen
Keyword(s):  
Climate Change ◽  
Potential Distribution ◽  
Greenhouse Gas Emission ◽  
Central China ◽  
Qinling Mountains ◽  
Climate Scenarios ◽  
Impact Of Climate Change ◽  
Precipitation Seasonality ◽  
Suitable Area ◽  
The Impact

Dendroctonus armandi (Coleoptera: Curculionidae: Scolytidae) is a bark beetle native to China and is the most destructive forest pest in the Pinus armandii woodlands of central China. Due to ongoing climate warming, D. armandi outbreaks have become more frequent and severe. Here, we used Maxent to model its current and future potential distribution in China. Minimum temperature of the coldest month and precipitation seasonality are the two major factors constraining the current distribution of D. armandi. Currently, the suitable area of D. armandi falls within the Qinling Mountains and Daba Mountains. The total suitable area is 15.83 × 104 km2. Under future climate scenarios, the total suitable area is projected to increase slightly, while remaining within the Qinling Mountains and Daba Mountains. Among the climate scenarios, the distribution expanded the most under the maximum greenhouse gas emission scenario (representative concentration pathway (RCP) 8.5). Under all assumptions, the highly suitable area is expected to increase over time; the increase will occur in southern Shaanxi, northwest Hubei, and northeast Sichuan Provinces. By the 2050s, the highly suitable area is projected to increase by 0.82 × 104 km2. By the 2050s, the suitable climatic niche for D. armandi will increase along the Qinling Mountains and Daba Mountains, posing a major challenge for forest managers. Our findings provide information that can be used to monitor D. armandi populations, host health, and the impact of climate change, shedding light on the effectiveness of management responses.

Disturbance history of an old-growth subalpine larch forest in the Qinling Mountains, north-central China

2018 ◽  
Vol 50 ◽  
pp. 91-97 ◽  
Author(s):  
Quan Zhou ◽  
Hang Shi ◽  
Chengpo Liu ◽  
Kerong Zhang ◽  
Quanfa Zhang ◽  
...  
Keyword(s):  
Larch Forest ◽  
Central China ◽  
Qinling Mountains ◽  
Disturbance History ◽  
Old Growth ◽  
North Central ◽  
History Of

scholarly journals Fluvial terrace formation and its impacts on early human settlement in the Hanzhong basin, Qinling Mountains, central China

2019 ◽  
Vol 178 ◽  
pp. 1-14 ◽  
Author(s):  
Xun Yang ◽  
Xianyan Wang ◽  
Ronald T. Van Balen ◽  
Maarten A. Prins ◽  
Shejiang Wang ◽  
...  
Keyword(s):  
Central China ◽  
Qinling Mountains ◽  
Human Settlement ◽  
Fluvial Terrace ◽  
Early Human

scholarly journals Fluvial or aeolian? Unravelling the origin of the silty clayey sediment cover of terraces in the Hanzhong Basin (Qinling Mountains, central China)

Geomorphology ◽  
2020 ◽  
Vol 367 ◽  
pp. 107294 ◽  
Author(s):  
Unze van Buuren ◽  
Maarten A. Prins ◽  
Xianyan Wang ◽  
Martin Stange ◽  
Xun Yang ◽  
...  
Keyword(s):  
Central China ◽  
Qinling Mountains ◽  
Clayey Sediment ◽  
Sediment Cover

scholarly journals Forest Phenology Dynamics to Climate Change and Topography in a Geographic and Climate Transition Zone: The Qinling Mountains in Central China

Forests ◽  
2019 ◽  
Vol 10 (11) ◽  
pp. 1007 ◽  
Author(s):  
Haoming Xia ◽  
Yaochen Qin ◽  
Gary Feng ◽  
Qingmin Meng ◽  
Yaoping Cui ◽  
...  
Keyword(s):  
Climate Change ◽  
Vegetation Index ◽  
Climate Change Impacts ◽  
Growing Season ◽  
Biological Indicators ◽  
Central China ◽  
Qinling Mountains ◽  
Moderate Resolution ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
Climate Transition

Forest ecosystems in an ecotone and their dynamics to climate change are growing ecological and environmental concerns. Phenology is one of the most critical biological indicators of climate change impacts on forest dynamics. In this study, we estimated and visualized the spatiotemporal patterns of forest phenology from 2001 to 2017 in the Qinling Mountains (QMs) based on the enhanced vegetation index (EVI) from MODerate-resolution Imaging Spectroradiometer (MODIS). We further analyzed this data to reveal the impacts of climate change and topography on the start of the growing season (SOS), end of the growing season (EOS), and the length of growing season (LOS). Our results showed that forest phenology metrics were very sensitive to changes in elevation, with a 2.4 days delayed SOS, 1.4 days advanced EOS, and 3.8 days shortened LOS for every 100 m increase in altitude. During the study period, on average, SOS advanced by 0.13 days year−1, EOS was delayed by 0.22 days year−1, and LOS increased by 0.35 day year−1. The phenological advanced and delayed speed across different elevation is not consistent. The speed of elevation-induced advanced SOS increased slightly with elevation, and the speed of elevation-induced delayed EOS shift reached a maximum value of 1500 m from 2001 to 2017. The sensitivity of SOS and EOS to preseason temperature displays that an increase of 1 °C in the regionally averaged preseason temperature would advance the average SOS by 1.23 days and delay the average EOS by 0.72 days, respectively. This study improved our understanding of the recent variability of forest phenology in mountain ecotones and explored the correlation between forest phenology and climate variables in the context of the ongoing climate warming.

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