A comprehensive static and dynamic crown volume and crown surface area model for planted Larix kaempferi from different climate regions in China

Historical peak situation of building carbon emissions in different climate regions in China: Causes of differences and peak challenges

Improving the sustainability of milk production across different climate regions in China

Energy-saving analysis of a case data center with a pump-driven loop heat pipe system in different climate regions in China

Predicting daily solar radiation using a novel hybrid long short-term memory network across four climate regions of China

Community assembly research has mostly focused on areas with single vegetation types; however, the abiotic and biotic factors affecting community assembly act across regions. Integrating biotic and abiotic factors into “compound” habitats has gained attention as an emerging strategy to analyze spatial and temporal patterns of biodiversity. We used a compound habitat approach to explore the relative roles of habitat filtering, biotic competition, and stochastic processes in the forest community assembly of four climatic zones (tropical, subtropical, temperate, and cold temperate forests). Specifically, we combined biotic and abiotic factors in four compound ecological gradients by principal component analysis (PCA), which we used to assess the geographic and phylogenetic distribution of multiple woody plant functional traits. We found that forest functional and phylogenetic diversity shifted from clustered to overdispersed along the first compound habitat gradient (PC1) across climate zones. This finding indicates that competitive exclusion strongly affected the community assembly in tropical and subtropical forests, while habitat filtering played a key role in cold temperate forests; these mechanisms may both exist and interact in temperate forests. We also found that both habitat filtering and biotic competition affected forest community assembly across climatic regions in China. Our results elucidate the underlying mechanisms driving geographical differentiation of forest vegetation across climatic zones, and bolster empirical evidence for the conservation of forest biodiversity in China. Further research is also needed to explore whether the patterns found in this paper are prevalent in different locations in different climatic zones in China.

Discussion of the Adaption of between Blinds Glass for Residential Buildings in Different Climate Regions of China Based on Energy Consumption Analysis

Optimized empirical model based on whale optimization algorithm for simulate daily reference crop evapotranspiration in different climatic regions of China

Decision letter for "A field investigation of the thermal environment and adaptive thermal behavior in bedrooms in different climate regions in China"

BackgroundAedes albopictus is an indigenous primary vector for dengue and Zika viruses in China. Compared with its insecticide resistance, biology and vector competence, little is known about its genetic variation, which corresponds to environmental variations. Thus, the present study examines how Ae. albopictus varies among different climatic regions in China and deciphers its potential dispersal patterns.MethodsThe genetic variation and population structure of 17 Ae. albopictus populations collected from three climatic regions of China were investigated with 11 microsatellite loci and the mitochondrial coxI gene.ResultsOf 44 isolated microsatellite markers, 11 pairs were chosen for genotyping analysis and had an average PIC value of 0.713, representing high polymorphism. The number of alleles was high in each population, with the ne value increasing from the temperate region (3.876) to the tropical region (4.144). Twenty-five coxI haplotypes were detected, and the highest diversity was observed in the tropical region. The mean Ho value (ca. 0.557) of all the regions was significantly lower than the mean He value (ca. 0.684), with nearly all populations significantly departing from HWE and displaying significant population expansion (p value < 0.05). Two genetically isolated groups and three haplotype clades were evaluated via STRUCTURE and haplotype phylogenetic analyses, and the tropical populations were significantly isolated from those in the other regions. Most genetic variation in Ae. albopictus was detected within populations and individuals at 31.40 and 63.04%, respectively, via the AMOVA test, and a relatively significant positive correlation was observed among only the temperate populations via IBD analysis (R2 = 0.6614, p = 0.048). Recent dispersions were observed among different Ae. albopictus populations, and four major migration trends with high gene flow (Nm > 0.4) were reconstructed between the tropical region and the other two regions. Environmental factors, especially temperature and rainfall, may be the leading causes of genetic diversity in different climatic regions.ConclusionsContinuous dispersion contributes to the genetic communication of Ae. albopictus populations across different climatic regions, and environmental factors, especially temperature and rainfall, may be the leading causes of genetic variation.Graphical

Contributions of energy-saving technologies to building energy saving in different climatic regions of China

Analysis and optimization of external venetian blind shading for nearly zero-energy buildings in different climate regions of China

Variations of surface soil δ13Corg in the different climatic regions of China and paleoclimatic implication

Uneven precipitation in space and time together with mismanagement and lack of knowledge about existing water resources, have caused water shortage problems for water supply to large cities and irrigation in many regions of China. There is an urgent need for the efficient use and regional planning of water resources. For these purposes, the monthly variation of discharges should be made available. In this paper, a simple water balance modelling approach was applied to seven catchments (385–20002) for water resources assessment. Six catchments were chosen from the humid region in southern China and one catchment from the semi-arid and semi-humid region in northern China. The results are satisfactory. It is suggested that the proposed modelling approach provides a valuable tool in the hands of planners and designers of water resources.

CR Climate Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsSpecials CR 32:219-227 (2006) - doi:10.3354/cr032219 Influence of climate on winter wheat productivity in different climate regions of China, 1961–2000 Yanling Song1,2,*, Deliang Chen3,4, Wenjie Dong3 1Chinese Academy of Sciences Key Laboratory of Regional Climate–Environment Research for Temperate East Asia, START Regional Center for Temperate East Asia, Institute of Atmospheric Physics, Qijiahuozi Road, Chaoyang, Beijing 100029, China 2Graduate School of the Chinese Academy of Sciences, 19 Yuquan Road, Shijingshan, Beijing 100049, China 3National Climate Center, China Meteorological Administration, 46 Zhongquancun Road, Beijing 100081, China 4Earth Sciences Centre, University of Gothenburg, Box 460, 405 30 Göteborg, Sweden *Email: anna_song74@yahoo.com.cn ABSTRACT: The World Food Studies crop model (WOFOST) was tuned and validated with observed meteorological data as well as winter wheat growth and yield data for 50 stations in 12 provinces in China from 1998 to 2003. The results show that most of the simulated growth dates and yields lie within ±15% range of the observed data, showing that the genetic parameters determined are reasonable in most winter wheat regions of China. Overall, the results demonstrate that the WOFOST model predicts potential winter wheat yields (assuming there are no limits imposed by water availability) and growth reasonably well under current climatic conditions. By assuming winter wheat varieties and agricultural practices stay constant, the parameterization obtained by the tuning was then used to model the impacts of climate on winter wheat growth for the 50 stations using long-term weather data from 1961 to 2000. Over this period, the simulated potential yield of winter wheat in northern China increased by 2.3%, while decreasing by 1.6% in southern China. In northern China, the accumulated negative temperatures during winter increased by 29.3°C decade–1, which is most likely the main reason for the increased potential yield of winter wheat. In southern China, one possible reason for the decreased potential yield is a shortened growth interval for winter wheat caused by the increasing mean temperatures. KEY WORDS: Crop growth model · WOFOST · Climate change · Winter wheat · China Full text in pdf format PreviousNextExport citation RSS - Facebook - Tweet - linkedIn Cited by Published in CR Vol. 32, No. 3. Online publication date: October 26, 2006 Print ISSN: 0936-577X; Online ISSN: 1616-1572 Copyright © 2006 Inter-Research.

Evaluation and development of empirical models for estimating daily and monthly mean daily diffuse horizontal solar radiation for different climatic regions of China