The Dynamics of Rural Vulnerability to Global Change: The Case of southern Africa

Research on the agricultural impacts of global change frequently emphasizesthe physical and socioeconomic impacts of climate change, yet globalchanges associated with the internationalization of economic activity mayalso have significant impacts on food systems. Together, climate change andglobalization are exposing farmers to new and unfamiliar conditions.Although some farmers may be in a position to take advantage of thesechanges, many more are facing increased vulnerability, particularly in thedeveloping world. This paper considers the dynamics of agriculturalvulnerability to global change through the example of southern Africa. Wedemonstrate that the combination of global and national economic changesis altering the context under which southern African farmers cope withclimate variability and adapt to long-term change. We find that farmers whoformerly had difficulty adapting to climatic variability may become lessvulnerable to drought-related food shortages as the result of tradeliberalization. At the same time, however, removal of national credit andsubsidies may constrain or limit adaptation strategies of other farmers,leaving them more vulnerable to climate variability and change.     

长白山区沟谷乌拉苔草Carex meyeriana沼泽湿地气候效应

通过对长白山区沟谷沼泽典型乌拉苔草湿地土壤温度、乌拉苔草群落相对湿度、叶片温度、风速、光量子通量密度以及蒸腾速率的日变化和蒸腾速率的季节变化的研究,初步揭示沟谷乌拉苔草沼泽湿地的气候效应。结果表明长白山沟谷沼泽湿地具有三江平原沼泽同样的冷湿效应。土壤化通时间比三江平原化通时间提前1个多月,蒸腾速率日变化不同季节趋势基本一致,不同层次叶片的蒸腾速率日变化趋势基本一致,最大值在7至8月份蒸腾速率(H2O)达到100~140 mol.m-2.s-1。光量子通量密度与温度成正比,与湿度成反比,大气温度日变化和叶片温度日变化趋势基本相同,相对湿度的日变化趋势和大气温度的变化趋势正好相反,和光量子通量密度的变化趋势相反。沟谷湿地的同样具有小气候效应。     

The three-year monitoring of 18 elements in five edible mushroom species collected from an old orchard

Abstract

The content of Al, As, Be, Cd, Ca, Cr, Co, Cu, Fe, Pb, Li, Mg, Mn, Ni, Rb, Se, Sr, and Zn in fruiting bodies of edible mushrooms Calocybe gambosa, Entoloma clypeatum, Entoloma saepium, Xerocomellus chrysenteron, and Amanita rubescens growing in an orchard planted with fruit trees and situated close to a high-grown forest was studied during years 2016–2018. A. rubescens showed the highest potential of the element accumulation with bioconcentration factors of 48.5, 16.2, 7.80, 6.53, 1.75, and 1.68 obtained for Rb, Cd, Cu, Zn, Sr, and Mg, respectively. Both Entoloma species accumulated the elements similarly with bioconcentration factors >1.0 obtained for Rb, Cu, Cd, and Mg. Bioconcentration factors <0.05 were obtained for Al, Cr, Fe, and Pb in all studied species. The contents of beryllium (<0.1?mg/kg dry matter) were always the lowest among the studied elements. The contents of some elements of studied mushroom species significantly fluctuated over the years. Despite the fact that some studied elements (As, Be, Cd, Pb, Ni) are considerably toxic for humans, the pronounced effect on health is not expected if the studied mushroom species are consumed occasionally and do not represent the main component of the diet.     

金钟藤的年轮生长量与气候因子的相互关系

分析了金钟藤(Merremiaboisiana(Gagn.)vanOoststr.)的年轮特征,并探讨了它与温度等气候因子的关系。金钟藤的年轮极不规则,有许多自然隆起和裂缝。金钟藤的年轮生长量通过格子法来估算。结果表明金钟藤年轮的年平均生长量与温度呈极显著正相关,与降水、日照时数和相对湿度相关性不显著。罗浮山地区降水和日照时数基本能够满足金钟藤的生长,结合相关研究结果推测:温度可能是金钟藤快速生长的主要驱动因子。     

GIS支持下的黄土高原地区植被生态梯度分析

在地理信息系统(GIS)支持下对黄土高原地区257个样方的植被进行了研究。DCA分析较好地反映了植被的连续性变化及植被的生态梯度与气候因子的关系。分析的结果表明．植被组成和结构沿经、纬度变化明显，分异出森林、森林草原、温性草原、荒漠半荒漠植被等不同类型，优势种替代明显，植物种类也形成了不同的生态类型。植被的梯度变化与气候因子密切相关，较好地反映了黄土高原地区环境与结构的空间变异特点。     

Effect of organophosphorus pesticide pollution on soil animals

ＩｎｔｒｏｄｕｃｔｉｏｎＴｈｅｓｔｕｄｙｏｆｍｏｄｅｒｎｓｏｉｌｚｏｏｌｏｇｙｈａｓｅｎｔｅｒｅｄｉｎｔｏａｓｔａｇｅｏｆｂｉｏｌｏｇｉｃａｌｐｒｏｄｕｃｔｉｖｉｔｙａｎｄｔｈｅｒｅｌａｔｉｏｎｂｅｔｗｅｅｎｈｕｍａｎａｎｄｅｎｖｉｒｏｎｍｅｎｔ.Ｐ?..     

2016~2017年长荡湖流域河湖系统营养盐时空分布机制分析

以江苏省常州市长荡湖流域河湖系统为研究对象,基于野外监测与室内分析,探讨了水体氮、磷等营养盐的时空分布特征及其影响因素.结果表明,2016~2017年长荡湖流域河湖系统氮、磷污染突出,河流TN、NO₃^--N、NH₄⁺-N、TP和Chla平均质量浓度和高锰酸盐指数分别为（3.70±0.76）mg ·L^-1、（1.81±0.42）mg ·L^-1、（1.03±0.61）mg ·L^-1、（0.38±0.31）mg ·L^-1、（25.74±37.00）μg ·L^-1和（6.35±0.81）mg ·L^-1.河流总氮污染季节差异明显,表现为冬、春季劣于夏、秋季,河流总磷污染表现为秋、冬季劣于春、夏季,空间差异表现为北 > 西北 > 南 > 东部,河流处于中~高度富营养化状态.湖区TN、NO₃^--N、NH₄⁺-N、TP和Chla平均质量浓度和高锰酸盐指数分别为（2.25±0.94）mg ·L^-1、（0.98±0.47）mg ·L^-1、（0.19±0.14）mg ·L^-1、（0.11±0.03）mg ·L^-1、（18.71±8.76）μg ·L^-1和（4.59±1.09）mg ·L^-1,氮、磷质量浓度均超过Ⅲ类水标准,在空间上表现为从西部向东、南部降低的趋势,湖区处于轻~中度富营养状态.丹金溧漕河、通济河与薛埠河等河流是长荡湖流域河湖水系的主要污染物输送通道,丹金溧漕河干流输送氮、磷年通量最大,约为通济河和薛埠河年通量总和的10~12倍.长荡湖流域河流氮、磷污染同时受到农业面源污染物流失与城镇污水排放的影响.土地利用方式转变和大气沉降是导致长荡湖流域河湖系统氮、磷污染加剧的重要驱动因素.     

基于因子分析的嫩江重要省界缓冲区水质评价研究

嫩江流域省界缓冲区水质监测与评价,是针对2010年和2015年引起嫩江省界缓冲区水环境质量主要污染物的变化分析,判断主要超标指标为有机生化指标。为进一步明确嫩江缓冲区水质影响关键因子,采用因子分析评价嫩江重要省界缓冲区水质状况。依据因子的荷载矩阵,2010年和2015年的主导因子均累计解释了原始向量80%以上的信息,反映了这两年水环境和污染因子之间的关系。嫩江流域省界缓冲区流域水质状况分析,为今后对嫩江流域水功能区目标管理提供理论支持。     

Prediction of response of zooplankton biomass to climatic and oceanic changes

This paper examines the long-term variation in zooplankton biomass in response to climatic and oceanic changes, using a neural network as a nonlinear multivariate analysis method. Zooplankton data collected from 1951 to 1990 off the shore of northeastern Japan were analyzed. We considered patterns of the Kuroshio and the Oyashio, sea surface temperature, and meteorological parameters as environmental factors that affect zooplankton biomass. Back propagation neural networks were trained to generate mapping functions between environmental variables and zooplankton biomass. The performance of the network models was tested by varying the numbers of input and hidden units. Changes in zooplankton biomass could be predicted from environmental conditions. The neural network yielded predictions with smaller errors than those of predictions determined by linear multiple regression. The sensitivity analysis of networks was used to extract predictive knowledge. The air pressure, sea surface temperature, and some indices of atmospheric circulation were the primary factors for predictions. The patterns of the Kuroshio and the Oyashio demonstrated different effects among sea areas.     

Fuelwood assessment at micro-watershed level in Northeast Himalaya:a case study in Manipur,India

Fuelwood is one of the major sources of energy in the domestic sector across the rural areas,especially in the developing regions across the world.The Northeastern Himalayan state of Manipur is dominated by the tribal population that largely depends on fuelwood from the nearby forest area.The entire dependence on forests for energy resources is affecting the sustainability of the forest ecosystem in the region,thus indicating the livelihood conditions.Since land-use land-cover change is the key driver to the change in resource availability of a region,the present study has tried to analyze the landcover changes over a period 28 years.The second major component affecting resource availability is the increasing population pressure that leads to changes in the land dynamics,which directly affect the resource production.Based on the existing consumption pattern,the total consumption of fuelwood in the watershed ranges fiom a minimum of 289.992 tons/year to a maximum of 3545.719 tons/year with an average of 1561.956 tons/year in the year 2009 and simulated fuelwood consumption for the year 2021 is around 1469.260 tons/year.Nine different probable scenarios of resource are proposed to calculate the stress value that can be used by the policy-makers and planners for suitable policy implementation at the micro level with a complex social system.