黑龙江省国有林区脆弱异质性家庭对停伐政策的态度及影响因素研究

基于2016年黑龙江省重点国有林区348户家庭的微观调查数据,实证分析黑龙江省国有林区脆弱异质性家庭对停伐政策的态度及影响因素。采用因子分析与综合评价法将348户职工家庭分为脆弱性家庭和非脆弱性家庭,描述性分析2组样本家庭对停伐政策的态度及认知情况,利用多元有序logit模型分析脆弱性与非脆弱性家庭对停伐政策态度的影响因素。结果表明:非脆弱性家庭对停伐政策的了解程度及执行情况的评价均高于脆弱性家庭,脆弱性家庭相对非脆弱性家庭对停伐政策的认可度较高,但是应对风险冲击的能力相对较低。脆弱性家庭和非脆弱性家庭对停伐政策的态度受户主特征、家庭特征以及政策认知特征变量的显著影响,但脆弱性家庭变量参数估计绝对值相对更大,因而停伐政策对脆弱性家庭有着更为敏感和强烈的冲击。     

黄土低山丘陵及坨甸草原区风蚀规律的研究

本文通过对黄土低山丘陵及坨甸草原区248个风蚀图斑资料的分析,运用线性模型理论,对此地区的风蚀规律进行了研究。获得了下垫面各因素与风蚀量关系的数学模型。找出了影响风蚀的主导因素,并系统阐述了植被覆盖度和土地利用类型对风蚀量大小的影响,且与水蚀规律进行了比较分析。     

大豆灰斑病Fuzzy测报模型

本文运用模糊数学理论建立了大豆灰斑病预测预报模型。经对国营350农场种植的大豆中熟品种“合丰25”十年的资料拟合,符合率达90%,对中熟品种“黑农26”九年的资料拟合,符合率达89%,对早熟品种“黑河3号”九年的资料拟合,符合率达78%。     

奶牛胎儿的父亲对母亲产奶量的影响

用中国黑白花奶牛研究了胎儿的父亲及犊牛初生重对母亲当胎及下一个泌乳期产奶量的影响,结果指出胎儿的父亲对母亲当胎及下一个泌乳期90天和305天的产奶量,都有极显著的影响,各占产奶总变异量的9.4％,15.3％及3.77％(P<0.01)。犊牛初生重对母亲产奶量的影响也显著(P<0.05)。当根据公牛的产奶预期差(PDM)将胎儿的父亲分为两组后,发现差异显著(P<0.05),胎儿父亲的PDM高,胎儿母亲的产奶量也高,因此胎儿母亲产奶量不仅受胎儿重量的影响,也受父亲PDM的影响。     

WEPP模型中的CLIGEN与BPCDG应用对比研究

通过对遂宁组紫色土产流、产沙侵蚀的观测,运用迄今为止最为复杂的土壤侵蚀预测模型WEPP模型进行单次降雨侵蚀预测,与实测值比较,并对比通过气候生成器CLIGEN和断点生成器BPCDG的产生的气候参数对预测值的影响。通过分析比较结果,认为WEPP模型对遂宁组紫色土侵蚀过程预测合理,而且利用断点生成器BPCDG的预测结果要优于气候生成器CLIGEN的预测结果。     

木质纤维素的降解和五种酶的活性对香菇子实体形成的影响

本文从生化角度研究了F型(形成子实体)和N型(不形成子实体)两类香菇菌株在生长发育过程中生化代谢活动上的差异。结果表明,在香菇的整个生长过程中,F型菌株的纤维素酶、半纤维素酶、漆酶、酸性蛋白酶和果胶酶的活性均高于N型菌株,尤其在形成子实体的第二和第三阶段,纤维素酶、半纤维素酶和酸性蛋白酶的活性均呈较大幅度的增加,这种趋势与胞外可溶性蛋白含量的增幅是一致的,同时F型菌株对培养基中木质素、纤维素和半纤维素的降解能力也高于N型菌株,说明在形成子实体的过程中,F型菌株具有比N型菌株相对更强的生化代谢能力;各种与物质降解有关酶的代谢活动在某些环节上受阻或不能有效地表达是N型菌株不能形成子实体的一个重要生理原因。     

Spatio-temporal modelling of broad scale heterogeneity in soil moisture content: a basis for an ecologically meaningful classification of soil landscapes

We describe the classification of landscapes characterised bymineral soil using a model that calculates soil moisture availability on amonthly basis. Scotland is used as a case study area. The model uses potentialsoil moisture deficit, estimated using broad scale (40 × 40 km)climate patterns, in conjunction with meteorological station measurements toobtain finer scale values of climatic soil moisture deficit. Point estimates ofsoil available water are obtained for soil characteristics using appropriatepedotransfer functions, and geostatistical techniques are used to upscale theresults and interpolate to a 1-km grid. Known heterogeneityin soil physical characteristics is used to provide local corrections to thepotential soil moisture deficit, estimated using the climatic variables above.Temporal profiles of monthly water content are modelled for each1-km location and classified into six classes usingunsupervised cluster analysis. The spatial distribution of these classesreflects regional variations in the availability of moisture and energy, onwhich finer-grained topographic patterns are superimposed. In the case study,the broad scale spatial heterogeneity of heathlands and grasslands on mineralsoils in Scotland is shown to be strongly related to the soil moistureclassification. The results can be used in studies investigating the patternsofdistribution of communities at the landscape and regional scale.This revised version was published online in May 2005 with corrections to the Cover Date.     

Landscape patterns as habitat predictors: building and testing models for cavity-nesting birds in the Uinta Mountains of Utah,USA

The ability to predict species occurrences quickly is often crucial for managers and conservation biologists with limited time and funds. We used measured associations with landscape patterns to build accurate predictive habitat models that were quickly and easily applied (i.e., required no additional data collection in the field to make predictions). We used classification trees (a nonparametric alternative to discriminant function analysis, logistic regression, and other generalized linear models) to model nesting habitat of red-naped sapsuckers (Sphyrapicus nuchalis), northern flickers (Colaptes auratus),tree swallows (Tachycineta bicolor), and mountain chickadees (Parus gambeli) in the Uinta Mountains of northeastern Utah, USA. We then tested the predictive capability of the models with independent data collected in the field the following year. The models built for the northern flicker, red-naped sapsucker, and tree swallow were relatively accurate (84%, 80%, and 75% nests correctly classified,respectively)compared to the models for the mountain chickadee (50% nests correctly classified). All four models were more selective than a null model that predicted habitat based solely on a gross association with aspen forests. We conclude that associations with landscape patterns can be used to build relatively accurate, easy to use, predictive models for some species. Our results stress, however, that both selecting the proper scale at which to assess landscape associations and empirically testing the models derived from those associations are crucial for building useful predictive models. This revised version was published online in July 2006 with corrections to the Cover Date.     

中国农村普惠金融发展的差异分析——以中部六省为例

在对普惠金融发展指数测量方法改良的基础上，对中部六省2005~2013年的普惠金融发展水平进行测度。研究发现，2005~2013年的近十年间，中部六省的农村普惠金融发展水平都有所提高，且各省普惠金融发展指数都没有出现0值的情况。从总体上来看，2005~2013年，湖南的农村普惠金融发展水平处于中部六省当中的最高水平，其次是山西、湖北、安徽、江西、河南，但河南在中部六省的普惠金融发展水平增长速度最快。从分析中部六省农村普惠金融发展水平差异的原因看：农村人均收入、农村金融机构服务数量、农村金融基础设施、普惠金融政策、当地信用环境等是造成六省普惠金融发展水平差异的重要原因。