Livelihood differentiation between two villages in Yesanpo Tourism District in China

The rapidly developing rural tourism industry in China has deeply influenced the livelihoods of rural households. This study compares the impact of rural tourism development in poor areas on the farmers' livelihoods, based on the Sustainable Livelihoods Framework proposed by the United Kingdom's Department for International Development. Gougezhuang, a tourist village, and Jiaojiekou, a non-tourist village, both located in Yesanpo Tourism District in the state-level povertystricken Laishui County, Hebei Province, were selected as case studies. The livelihood models of the two villages show great differentiation after 20 years of tourism development. Gougezhuang Village has been driven by the tourism industry and farmers are employed locally, enjoying a relatively higher-income life, with a developmental livelihood model. In contrast, farmers in Jiaojiekou Village earn their living mainly by leaving home to work in the city. They have a low income, with a survival livelihood model, supported by part-time business. Considering that the two villages are adjacent and have similar development backgrounds, the analysis results indicate that rural tourism has an apparent locationspecific effect on poverty alleviation and socioeconomic development, but the development ofrural tourism is limited regarding large-scale poverty alleviation efforts in poor areas. To implement a propoor-tourism strategy and achieve sustainable development, it is necessary to implement comprehensive management measures to change the local conditions of rural settlements and make full use of the spillover effect of tourist consumption.

Village Network Centrality in Rural Tourism Destination:A Case from Yesanpo Tourism Area,China

With the development of rural tourism, the cooperation of villages has become very important.Identifying the status and importance of each village can contribute to better understanding of the integrated rural tourism management and sustainable rural tourism development. The research focused on 46 villages of Yesanpo scenic spot in China(39°35'-40°north latitude, and 115°16'- 115°30' east longitude). Integrating the method of Geographical Information System(GIS) and social network analysis, the spatial centrality and interrelation of each village in Yesanpo tourism destination were evaluated. The results showed that Xinggezhuang is the spatial core village of the whole 46 villages in Yesanpo tourism areas; Xinggezhuang, Nanzhuang, Zhenchang, Daze, Liujiahe and Zishikou are sub-core villages of the six tourism spots. Magezhuang, Ximagezhuang, Eyu, Zishikou, Daze, Shangzhuang, Zhenchang and Xiazhuang should be support of the core villages, which provide subsidiary services and connects with other nodes. The results also indicated that the study of the village centrality will contribute to build an integrated hierarchy structure and to provide sufficient basis for further development of rural tourism destination.

New progress of research on water cycle in atmosphere in China

New progresses are introduced briefly about the water cycle study on atmosphere of China made in recent years. The introduction includes eight aspects as follows: 1) precipitation characteristics, 2) stability of climatic system, 3) precipitation sensitive region, 4) regional evaporation and evapotranspiration, 5) water surface evaporation, 6) vegetation transpiration, 7) cloud physics, and 8) vapor source.

Calibration and validation of SiBcrop Model for simulating LAI and surface heat fluxes of winter wheat in the North China Plain

The accurate representation of surface characteristic is an important process to simulate surface energy and water flux in land-atmosphere boundary layer.Coupling crop growth model in land surface model is an important method to accurately express the surface characteristics and biophysical processes in farmland.However,the previous work mainly focused on crops in single cropping system,less work was done in multiple cropping systems.This article described how to modify the sub-model in the SiBcrop to realize the accuracy simulation of leaf area index(LAI),latent heat flux(LHF)and sensible heat flux(SHF)of winter wheat growing in double cropping system in the North China Plain(NCP).The seeding date of winter wheat was firstly reset according to the actual growing environment in the NCP.The phenophases,LAI and heat fluxes in 2004–2006 at Yucheng Station,Shandong Province,China were used to calibrate the model.The validations of LHF and SHF were based on the measurements at Yucheng Station in 2007–2010 and at Guantao Station,Hebei Province,China in 2009–2010.The results showed the significant accuracy of the calibrated model in simulating these variables,with which the R2,root mean square error(RMSE)and index of agreement(IOA)between simulated and observed variables were obviously improved than the original code.The sensitivities of the above variables to seeding date were also displayed to further explain the simulation error of the SiBcrop Model.Overall,the research results indicated the modified SiBcrop Model can be applied to simulate the growth and flux process of winter wheat growing in double cropping system in the NCP.

Method for Calculating CO＿2 Emissions from the Power Sector at the Provincial Level in China

Based on the detailed origins of each province's electricity consumption, a new method for calculating CO2 emissions from the power sector at the provincial level in China is proposed. With this so-called consumer responsibility method, the emissions embodied in imported electricity are calculated with source-specific emission factors. Using the new method,we estimate CO2 emissions in 2005 and 2010. Compared with those derived from the producer responsibility method,the power exporters' emissions decreased sharply. The emissions from the power sector in Inner Mongolia, the largest power exporter of China, decreased by 109 Mt in 2010. The value is equivalent to those from Shaanxi's power production and Canada's power and heat production. In contrast, the importers' emissions increased substantially. The emissions from the power sector in Hebei, the largest power importer of China, increased by 74 Mt. Emissions of Beijing, increased by 60 Mt(320%), in 2010. Thus, we suggest that the Chinese government should take the emissions, as calculated from the consumption perspective, into account when formulating and assessing local CO2 emission reduction targets.

1961-2010年中国降水时空变化特征及对地表干湿状况影响

开展气候变化背景下中国降水时空变化特征及对地表干湿状况影响研究,对揭示陆地表层系统对气候变化的动态响应与变化规律以及防灾减灾具有重要意义。基于1961-2010年地面气象观测资料,分析我国降水与地表干湿状况时空格局;在此基础上,采用敏感性与贡献度分析,定量评估降水变化对干湿状况的影响。结果表明:过去50年间我国年降水量呈轻微增加趋势,其中,青藏高原(高原亚寒带、高原温带)、西北(中温带西部、暖温带西部)和南方地区(亚热带、热带)呈增加趋势,东北(寒温带、中温带东部)和华北地区(中温带中东部、暖温带东部)呈减少趋势。就地表干湿状况而言,华北和东北地区以干旱化趋势为主,西北、青藏高原及南方地区主要呈湿润化趋势。地表干湿状况对降水变化响应较为敏感(全国多年平均敏感系数:-1.13),干湿指数和降水呈负相关。内陆干旱地区降水对干湿状况变化的贡献高于湿润地区,局部地区降水贡献度超过60%。

欧洲典型树种展叶始期的时空变化及其对气候变化的响应

近年来,全球变暖对植物春季物候期产生了显著影响。很多研究报道了中国地区木本植物春季物候期变化的时空格局,但在同处于北半球温带地区的欧洲则相关研究较少。为了增进物候变化及其对气候变化响应规律的区域对比,本研究利用欧洲地区展叶始期(1980—2014年)数据和相应的气象数据,研究欧洲七叶树、垂枝桦、欧洲山毛榉和夏栎4种典型木本植物展叶始期的时空变化格局,并识别影响物候变化的主要气候因子。结果表明:1980—2014年,研究区4种植物的展叶始期以3.3~7.5 d·10 a^(-1)的趋势显著提前。展叶始期自南向北以每纬度2.03~3.19 d的速率推迟,自西向东以每经度0.19~0.80 d的速率推迟(除欧洲山毛榉外),海拔自低到高以2.25~3.44 d·100 m^(-1)的速率推迟。展叶始期的提前主要与春季温度的增高和冬春季降水量的增加有关,而秋冬季温度的升高对展叶始期有一定的推迟效应。