The Journal of Mountain Science, founded in 2004, is a peer-reviewed international English-language journal on mountain sciences. The JMS is supervised by the Chinese Academy of Sciences (CAS), sponsored by the Chengdu Institute of Mountain Hazards and Environment, CAS, published by Science Press China, and distributed by Springer exclusively throughout the world (excluding Mainland China).JMS is monthly journal is published monthly (12 issues per year) since 2016.The Editorial Board members are scientists from 23 countries(regions) or international organizations in the world. Authors are from over 70 countries and reviewers are from 90 countries. JMS solicits contributions from and is distributed throughout the world.JMS publishes research and technical papers and review in these topics: mountain environment change, mountain ecology, mountain hazards, mountain resource survey and utilization, mountain development planning, mountain livelihoods.
Keywords: Species distribution modeling; Picea crassifolia; High resolution topographic data; Climate change; The Qilian Mountains Nature Reserve;
DOI：10.1007/s11629-024-8851-1
submitted time 2024-08-26
Abstract：The Qilian Mountains, a national key ecological function zone in Western China, play a pivotal role in ecosystem services. However, the distribution of its dominant tree species, Picea crassifolia (Qinghai spruce), has decreased dramatically in the past decades due to climate change and human activity, which may have influenced its ecological functions. To restore its ecological functions, reasonable reforestation is key. Many previous efforts have predicted the potential distribution of Picea crassifolia, which provides guidance on regional reforestation policy. However, all of them were performed at low spatial resolution, thus ignoring the natural characteristics of the patchy distribution of Picea crassifolia. Here, we modeled the distribution of Picea crassifolia with species distribution models at high spatial resolutions. For many models, the area under the receiver operating characteristic curve (AUC) is larger than 0.9, suggesting their excellent precision. The AUC of models at 30m is higher than that of models at 90m, and the current potential distribution of Picea crassifolia is more closely aligned with its actual distribution at 30m, demonstrating that finer data resolution improves model performance. Besides, for models at 90m resolution, annual precipitation (Bio12) played the paramount influence on the distribution of Picea crassifolia, while the aspect became the most important one at 30m, indicating the crucial role of finer topographic data in modeling species with patchy distribution. The current distribution of Picea crassifolia was concentrated in the northern and central of the study area, and this pattern will be maintained under future scenarios, although some habitat loss in the central parts and gain in the eastern regions is expected owing to increasing temperatures and precipitation. Our findings can guide protective and restoration strategies for the Qilian Mountains, which would benefit regional ecological balance.
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Keywords: Urban expansion; Temporal and spatial distribution; Slope climbing; Driving factors;
DOI：10.1007/s11629-024-8845-z
submitted time 2024-08-26
Abstract：Urbanization research is of great significance for the sustainable use of regional land resources, ecological environment protection. In the middle reaches of the Yellow River (MRYR), the expansion process and driving factors of urban construction land at different scales are not yet clear. This study explored the distribution pattern of urban construction land on different slope gradients at different scales and analyzing its influencing factors. The main findings were as follows: (1) Significant expansion of urban construction land occurred in the MRYR over the past 20 years. Spatial heterogeneity was observed in the regional urban construction land expansion process among different geomorphic regions. (2) The urban construction land in the MRYR expanded vertically to areas with slopes >5°, especially in 2005-2010. Significant slope climbing of urban construction land were observed in the loess hilly-gully and rocky mountain areas. (3) 68.45% of the counties of the MRYR belonged to the slope-climbing types, included 37.38% belonged to the high-slope-climbing types. (4) The regional population density and economic development level were closely associated with regional urban construction land area variability. (5) The climbing process of regional urban construction can effectively alleviate farmland encroachment and pressure on the regional ecological environment. The urban expansion of the metropolitan distribution areas in the Plain region (such as Xi ’an, Taiyuan, etc.) had a more significant impact on the local carbon storage.
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