PRESENT SITUATION，FEATURE AND DEVELOPMENTAL IDEAS OF BORDER OPENING IN XINJIANG

ＰＲＥＳＥＮＴＳＩＴＵＡＴＩＯＮ，ＦＥＡＴＵＲＥＡＮＤＤＥＶＥＬＯＰＭＥＮＴＡＬ　ＩＤＥＡＳＯＦＢＯＲＤＥＲＯＰＥＮＩＮＧＩＮＸＩＮＪＩＡＮＧＸｉｅＸｉａｎｇｆａｎｇ（谢香方）；ＬｉＣｈｕｎｈｕａ（李春华）（ＸｉｎｊｉａｎｇＩｎｓｔｉｔｕｔｅｏｆＧｅ...     

欧亚大陆雪盖月际变化特征及其与我国气候异常的关系初探

利用ＮＯＡＡ提供的逐月欧亚大陆雪盖面积指数资料，分析了欧亚大陆雪盖月际动态演变特征，结果表明其月际动态演变特征非常复杂，且具有明显的年代际和年际变化，此外，还初步探讨了其与后期区域气候的关系。     

大陆桥江苏沿线地区旅游资源评价与旅游业发展战略研究

在深入分析大陆桥江苏沿线地区的徐州、连云港两市旅游资源、旅游动力和旅游市场的基础上，概括出其旅游业发展的总体思路，并就旅游经济运行机制、系统开发、形象驱动等基本战略提出了对策。     

论徐连经济带建设

通过对徐连经济带在全省，淮海经济区中经济地位的分析，与省内宁镇扬，苏锡常两区的比较，找出本带经济中存在的问题及原因，提出加快其经济发展所拥有的优势区位，优越的自然条件和重要意义，并就点轴开理论本带建设布局中的应用进行了探讨。     

冬季赤道太平洋不同类型海温异常表征指数的再构建

利用1963—2013年Hadley中心月平均海表温度资料,以及NCEP/NCAR再分析资料,根据两类厄尔尼诺事件发生时北半球冬季赤道太平洋地区海温异常的不同空间分布特征,即赤道中太平洋CP型和东太平洋EP型海温异常空间分布,从寻找与之相似的空间型角度出发,设计了一组新的海温异常指数I_(CP)和I_(EP)。与以往ENSO指数相比,新指数组I_(CP)和I_(EP)不仅表示了空间上相互独立的海温异常分布,而且在相同的研究时段内,因时间域上相互独立而能更好地表征和区分两类El Ni?o/La Ni?a事件。据此,采用该新指数组探讨了与中部型和东部型海温异常事件相关的热带太平洋的主要海气耦合特征。结果表明,与传统的东部型El Ni?o事件发生时最大暖海温中心位于赤道东太平洋地区不同,中部型El Ni?o事件,异常增暖中心位于赤道中太平洋。中部型时异常Walker环流的上升支向西偏移,异常降水集中于热带中太平洋,不似东部型时异常限定于赤道东太平洋地区。不论哪类事件,海洋性大陆均可受到影响,即CP或EP型El Ni?o发生时,海洋性大陆区域降水偏少。但比较而言,中部型ENSO对海洋性大陆区域的影响更大。     

Object-oriented and pixel-based classification approaches to classify tropical successional stages using airborne high–spatial resolution images

Airborne high–spatial resolution images were evaluated for mapping purposes in a complex Atlantic rainforest environment in southern Brazil. Two study sites, covered predominantly by secondary evergreen rainforest, were surveyed by airborne multispectral high-resolution imagery. These aerophotogrammetric images were acquired at four spectral bands (visible to near-infrared) with spatial resolution of 0.39 m. We evaluated different data input scenarios to suit the object-oriented classification approach. In addition to the four spectral bands, auxiliary products such as band ratios and digital elevation models were considered. Comparisons with traditional pixel-based classifiers were also performed. The results showed that the object-based classification approach yielded a better overall accuracy, ranging from 89% to 91%, than the pixel-based classifications, which ranged from 62% to 63%. The individual classification accuracy of forest-related classes, such as young successional forest stages, benefits the object-based approach. These classes have been reported in the literature as the most difficult to map in tropical environments. The results confirm the potential of object-based classification for mapping procedures and discrimination of successional forest stages and other related land use and land cover classes in complex Atlantic rainforest environments. The methodology is suggested for further SAAPI acquisitions in order to monitor such endangered environment as well as to support National Land and Environmental Management Protocols.     

The role of soybean production as an underlying driver of deforestation in the South American Chaco

South America’s tropical dry forests and savannas are under increasing pressure from agricultural expansion. Cattle ranching and soybean production both drive these forest losses, but their relative importance remains unclear. Also unclear is how soybean expansion elsewhere affects deforestation via pushing cattle ranching to deforestation frontiers. To assess these questions, we focused on the Chaco, a 110 million ha ecoregion extending into Argentina, Bolivia, and Paraguay, with about 8 million ha of deforestation in 2000–2012. We used panel regressions at the district level to quantify the role of soybean expansion in driving these forest losses using a wide range of environmental and socio-economic control variables. Our models suggest that soybean production was a direct driver of deforestation in the Argentine Chaco only (0.08 ha new soybean area per ha forest lost), whereas cattle ranching was significantly associated with deforestation in all three countries (0.02 additional cattle per hectare forest loss). However, our models also suggested Argentine soybean cultivation may indirectly be linked to deforestation in the Bolivian and Paraguayan Chaco. We furthermore found substantial time-delayed effects in the relationship of soybean expansion in Argentina and Paraguay (i.e., soybean expansion in one year resulted in deforestation several years later) and deforestation in the Chaco, further suggesting that possible displacement effects within and between Chaco countries may at least partly drive forest loss. Altogether, our study showed that deforestation in the Chaco appears to be mainly driven by the globally surging demand for soybean, although regionally other proximate drivers are sometimes important. Steering agricultural production in the Chaco and other tropical dry forests onto sustainable pathways will thus require policies that consider these scale effects and that account for the regional variation in deforestation drivers within and across countries.     

欧亚大陆积雪对我国春季气候可预报性的影响

利用大气环流模式IAP9L_CoLM,通过两组集合后报试验,考察了欧亚大陆积雪对我国春季气候可预报性的影响。一组试验为常规后报试验,积雪是由模式陆面过程预报得到的,另一组试验为积雪试验,模式积分过程中欧亚大陆雪水当量由微波遥感积雪资料替代,一天替换一次。通过分析两组试验后报结果的差异,来考察欧亚大陆积雪对我国春季（3~5月）气候可预报性的影响。分析表明:欧亚大陆积雪模拟水平的改善能提高春季欧亚大陆中高纬环流场（海平面气压场和中、高层位势高度场）的可预报性,模式对我国春季气温异常的年际变化和空间分布的可预报能力也有显著增强。对我国春季降水,虽然预报技巧较低,但引入较真实的欧亚积雪作用后,由于中高纬环流场预报技巧的改进导致降水的预测能力也有所改进。个例分析也表明,欧亚中高纬春季积雪异常模拟水平的改善导致了欧亚中高纬贝加尔湖及以南区域环流场可预报性的提高,最终使中国东部区域春季气候异常模拟技巧得以改善。以上结果也证实,欧亚大陆积雪是影响东亚区域春季气候的一个重要因子,要提高模式对中国春季气候的预报技巧,积雪模拟水平的改进是非常必要的。     

北半球秋季欧亚遥相关与华西秋雨的关系

利用EOF、相关分析、合成分析等常规统计方法研究华西秋雨与秋季欧亚遥相关(EUa)的关系。结果表明:北半球秋季欧亚遥相关(EUa)指数与华西秋雨呈显著的负相关,两者具有一致的阶段性特征。以1986年为界,20世纪80年代中期之前华西秋雨与EUa指数相关系数波动较大,均在-0.4以上,显著相关区主要集中于四川盆地西南部、贵州大部;20世纪80年代中期之后两者相关系数呈显著增加趋势,且显著相关区域向北偏移,主要集中于四川东北部、重庆大部以及陕西南部地区。EUa异常与华西秋雨的多寡关系显著。EUa正异常年,中高纬度环流形势与水汽特征有利于华西秋雨北部地区降水发生,华西秋雨南部地区缺乏水汽,动力条件不足,不利于秋雨偏多。EUa负异常年,华西秋雨东部地区,表现为有利于降水偏多,而西部地区则特征相反。