沿边开放开发进程中农用地多功能性评价

农用地多功能利用是黑龙江省沿边开放带土地利用效率提升及生态经济协调发展的客观要求,农用地利用多功能性评价是其基础工作。该文系统地研究了农用地利用多功能性评价方法,测度了1996年、2004年、2013年黑龙江省农用地利用多功能状态及期间变化。研究表明,1996~2013年黑龙江省农用地利用总功能缓慢提高,多功能协调性逐步提升;农用地利用由单一功能逐渐向多功能转变。为扩大农用地利用多功能整体效应并提高农用地利用多功能协调性,稳定生产功能、加快提高经济功能、重点遏制生态功能退化、逐步提高社会功能是沿边开放带今后的农用地利用方向。     

甲氨基阿维菌素苯甲酸盐对黑土区农田土壤动物群落的影响

甲维盐属高效半合成抗生素杀虫剂。在哈尔滨市典型黑土农田区,研究不同浓度甲维盐处理对土壤动物群落结构的影响。结果表明:甲维盐处理显著降低了土壤动物群落的个体密度和类群数量,且这种趋势随着甲维盐浓度的增加而增强;显著改变了群落的垂直分布格局,表聚性特征被削弱,使动物较多地聚集于5~15 cm土层;改变了群落多样性特征,其中螨类和跳虫对多样性的贡献相对较大;显著改变了表层土壤化学性质,但不同动物类群对土壤环境变化的响应规律不同,螨类和跳虫对甲维盐干扰具有较强的适应能力。甲维盐处理可以显著改变黑土区农田土壤动物群落结构,浓度是影响该过程的重要因素,施用杀虫剂时需慎重评价其生态后果。     

农业产业集群的演化阶段与形成机理分析——以宁夏中宁县枸杞加工产业为例

在总结前人研究基础上,借鉴国内外农业产业集群研究的相关理论,以宁夏中宁县枸杞加工产业集群为例,运用企业资料和半结构式访谈法,探讨了农业产业集群的演化阶段和形成机理。研究发现:(1)中宁县枸杞加工产业集群遵循农业产业集群演化的一般发展规律,经历了培育期、成长期及形成期,在不同的发展阶段集群表现出不同特征。(2)地区独特的资源禀赋、历史文化、宏观制度等偶然因素激发集群最初形成,地理临近导致的集聚效应促使集群逐步成长,收益递增引发的路径依赖则进一步促进集群的形成。(3)由于收益递增、路径依赖及企业惯例,集群在演化过程中可能会陷入低效率的锁定状态。为了摆脱这种困境,首先,政府应推动企业间网络合作强度及知识流动,提升集群创新能力;其次,要加强集群与区外联系实现集群在全球价值链上的嵌入,保持集群持续的竞争力。研究结果可为农业产业集群形成及机理研究提供借鉴,为宁夏枸杞加工产业发展提供指导。     

河南省农业专业村发展与地理环境关系研究

综合运用GIS技术、逐步回归法、Logit模型,分析了2009—2012年河南省农业专业村数量结构、空间分布的变化特征,并探究了地理环境对农业专业村发展的影响。研究结果表明:农业专业村空间分布不均衡,局部地区集聚程度发生变化;农业专业化率随劳动力资源的增加而降低,丘陵、山区农业专业化率比平原区低,村庄区位显著影响农业专业化率;伴随农区发展,农业专业化生产对劳动力资源的依赖程度有所降低,丘陵、山地地形对农业专业化率的负面影响减弱,市场因素对农业专业化率的影响凸显;劳动力资源对花卉、蔬菜等劳动密集型的专业村形成具有正面影响,邻近批发市场能提高蔬菜、水果、花卉等市场依赖性强的专业村形成概率,靠近地级市、县城的区位条件有利于形成蔬菜、水果等专业村。该结果对农区专业村发展方向和策略制定具有一定借鉴意义。     

Comparing the seasonal variation of parameter estimation of ecosystem carbon exchange between alpine meadow and cropland in Heihe River Basin, northwestern China

Grasslands and agro-ecosystems occupy one-third of the global terrestrial area. However, great uncertainty still exists about their contributions to the global carbon cycle. This study used various com...     

中国西南岩溶生态系统特征与石漠化综合治理对策

以贵州省为核心的中国西南岩溶区面临双重危机：生态恶劣,石漠化严重;人口贫困,全国1/3强的贫困县分布在该地区。石漠化综合治理需要从岩溶生态系统结构和运行规律出发,重点关注岩溶地下水的开发和可持续利用,水土保持和土壤改良,植被恢复和可适应性的经济植物选择,力求区域生态经济双赢、农民脱贫致富。     

Estimating the global potential of water harvesting from successful case studies

Water harvesting has been widely applied in different social-ecological contexts, proving to be a valuable approach to sustainable intensification of agriculture. Global estimates of the potential of water harvesting are generally based on purely biophysical assessments and mostly neglect the socioeconomic dimension of agriculture. This neglect becomes a critical factor for the feasibility and effectiveness of policy and funding efforts to mainstream this practice. This study uses archetype analysis to systematically identify social-ecological regions worldwide based on >160 successful cases of local water harvesting implementation. We delineate six archetypal regions which capture the specific social-ecological conditions of the case studies. The archetypes cover 19% of current global croplands with hotspots in large portions of East Africa and Southeast Asia. We estimate that the adoption of water harvesting in these cropland areas can increase crop production up to 60–100% in Uganda, Burundi, Tanzania and India. The results of this study can complement conventional biophysical analysis on the potential of these practices and guide policy development at global and regional scales. The methodological approach can be also replicated at finer scales to guide the improvement of rainfed agricultural.     

Novel insights on intensity and typology of direct human-nature interactions in protected areas through passive crowdsourcing

Recent advances in geotagging, sharing and automatically analyzing online content from Social Networking Sites (SNS) offer unprecedented opportunities for the analysis of human-nature interactions. Previous studies in this field, however, offer limited insights regarding the benefits of automated content analysis especially at large scales, biases arising from the selection of SNS sources, and the predictive power of visitation models based on SNS data. We explore quantitative and qualitative aspects related to intensity, interests and sentiments associated with on-site experiences in 568 protected areas in Israel and the Palestinian Authority. We analyze counts and content of >100,000 photographs and tweets from four different SNSs, calibrate visitation models and predict visitation in unmonitored sites, cluster sites based on the typology of human-nature interactions reflected in online photographs, and characterize the polarity of sentiments associated with experiences in individual sites and clusters thereof. We find benefits in combining data from multiple sources and controlling for biases related to sites’ photogenicity and type of human-nature interactions. Our results suggest that current best estimates of visitation in unmonitored sites underestimate by 39% the actual number of visits. We discuss how the techniques and findings in this study are applicable in the broader context of the management and conservation of sites of environmental or cultural interest.     

Evaluation of Agricultural Climatic Resource Utilization During Spring Maize Cultivation in Northeast China Under Climate Change

Agricultural climatic resources （such as light,temperature,and water） are environmental factors that affect crop productivity.Predicting the effects of climate change on agricultural climatic resource utilization can provide a theoretical basis for adapting agricultural practices and distributions of agricultural production.This study investigates these effects under the IPCC （Intergovernmental Panel on Climate Change） scenario A1B using daily data from the high-resolution RegCM3 （0.25° ×0.25°） during 1951-2100.Model outputs are adjusted using corrections derived from daily observational data taken at 101 meteorological stations in Northeast China between 1971 and 2000.Agricultural climatic suitability theory is used to assess demand for agricultural climatic resources in Northeast China during the cultivation of spring maize.Three indices,i.e.,an average resource suitability index （Isr）,an average efficacy suitability index （Ise）,and an average resource utilization index （K）,are defined to quantitatively evaluate the effects of climate change on climatic resource utilization between 1951 and 2100.These indices change significantly in both temporal and spatial dimensions in Northeast China under global warming.All three indices are projected to decrease in Liaoning Province from 1951 to 2100,with particularly sharp declines in Isr,Ise,and K after 2030,2021,and 2011,respectively.In Jilin and Heilongjiang provinces,Isr is projected to increase slightly after 2011,while Ise increases slightly and K decreases slightly after 2030.The spatial maxima of all three indices are projected to shift northeastward.Overall,warming of the climate in Northeast China is expected to negatively impact spring maize production,especially in Liaoning Province.Spring maize cultivation will likely need to shift northward and expand eastward to make efficient use of future agricultural climatic resources.