Spatio-temporal changes in annual accumulated temperature in China and the effects on cropping systems, 1980s to 2000

Change in thermal conditions can substantially affect crop growth, cropping systems, agricultural production and land use. In the present study, we used annual accumulated temperatures > 10 degrees C (AAT10) as an indicator to investigate the spatio-temporal changes in thermal conditions across China from the late 1980s to 2000, with a spatial resolution of 1 x 1 km. We also investigated the effects of the spatio-temporal changes on cultivated land use and cropping systems. We found that AAT10 has increased on a national scale since the late 1980s, Particularly, 3.16 x 10(5) km(2) of land moved from the spring wheat zone (AAT10: 1600 to 3400 degrees C) to the winter wheat zone (AAT10: 3400 to 4500 degrees C). Changes in thermal conditions had large influences on cultivated land area and cropping systems. The areas of cultivated land have increased in regions with increasing AAT10, and the cropping rotation index has increased since the late 1980s. Single cropping was replaced by 3 crops in 2 years in many regions, and areas of winter wheat cultivation were shifted northward in some areas, such as in the eastern Inner Mongolia Autonomous Region and in western Liaoning and Jilin Provinces.

长期施用氮、磷和有机肥对不同种植体系土壤有效硫累积的影响

以22年定位试验为基础,研究了长期施用氮、磷和有机肥(NPM)对不同种植体系土壤有效硫在剖面上分布与累积状况。结果表明,在60—80 cm土层各处理出现第一个累积峰,累积峰值为粮饲轮作31.3,玉米连作29.2,小麦连作27.9,粮豆轮作25.6,苜蓿连作24.0 mg/kg;在140—180 cm土层各处理又出现有效硫的第二个累积峰,累积峰值为粮饲轮作44.7,粮豆轮作43.1,小麦连作41.0,玉米连作39.7,苜蓿连作36.5 mg/kg。第二累积峰值均大于第一累积峰值。0—200 cm土层有效硫总累积量粮饲轮作高达746.3 kg/hm~2,其次为玉米连作640.6,粮豆轮作为638.3,小麦连作为622.4,苜蓿连作最小为557.3 kg/hm~2。长期施用磷肥和有机肥是有效硫在土壤中累积的主要因素,有效硫在土壤剖面上有向深层迁移的趋势。不同作物对硫的吸收利用差异和不同种植方式对有效硫的累积与分布产生影响。

轮作和施肥对半干旱区作物地上部生物量与土壤有机碳的影响

了解轮作与施肥对土壤有机碳的影响是建立持续发展措施的关键。【方法】以长期定位试验(1984～2002)中的10个典型处理为基础,分析了地上部生物量和耕层(0～20cm)土壤有机碳变化,探讨半干旱区轮作和施肥对0～20cm土层有机碳的影响,10个典型处理分别为休闲(F);冬小麦连作体系中的3个施肥处理:不施肥(W/W+CK)、化肥(W/W+NP)、化肥有机肥(W/W+NP-FYM);冬小麦-冬小麦+糜子-豌豆轮作体系中的3个施肥处理:不施肥(W/WM/P+CK)、化肥(W/WM/P+NP)、化肥有机肥(W/WM/P+NP-FYM)处理;1个冬小麦—冬小麦-红豆草轮作处理(W/W/S+NP);人工苜蓿中2个施肥处理:不施肥(A/A+CK)和化肥有机肥处理(A/A+NP-FYM)。【结果】冬小麦连作体系(W/W)中,不施肥处理(W/W+CK)的地上部生物量平均为3.3t·ha-1,化肥处理(W/W+NP)和化肥有机肥处理(W/W+NP-FYM)依次为7.5和11.2t·ha-1;冬小麦-冬小麦+糜子-豌豆轮作(W/WM/P)体系中,不施肥处理(W/WM/P+CK)地上部生物量平均3.1t·ha-1,W/WM...

Emergy Assessment of a Wheat-Maize Rotation System with Different Water Assignments in the North China Plain

Sustainable water use is seriously compromised in the North China Plain (NCP) due to the huge water requirements of agriculture, the largest use of water resources. An integrated approach which combines the ecosystem model with emergy analysis is presented to determine the optimum quantity of irrigation for sustainable development in irrigated cropping systems. Since the traditional emergy method pays little attention to the dynamic interaction among components of the ecological system and dynamic emergy accounting is in its infancy, it is hard to evaluate the cropping system in hypothetical situations or in response to specific changes. In order to solve this problem, an ecosystem model (Vegetation Interface Processes (VIP) model) is introduced for emergy analysis to describe the production processes. Some raw data, collected by investigating or observing in conventional emergy analysis, may be calculated by the VIP model in the new approach. To demonstrate the advantage of this new approach, we use it to assess the wheat-maize rotation cropping system at different irrigation levels and derive the optimum quantity of irrigation according to the index of ecosystem sustainable development in NCP. The results show, the optimum quantity of irrigation in this region should be 240-330 mm per year in the wheat system and no irrigation in the maize system, because with this quantity of irrigation the rotation crop system reveals: best efficiency in energy transformation (transformity = 6.05E + 4 sej/J); highest sustainability (renewability = 25%); lowest environmental impact (environmental loading ratio = 3.5) and the greatest sustainability index (Emergy Sustainability Index = 0.47) compared with the system in other irrigation amounts. This study demonstrates that application of the new approach is broader than the conventional emergy analysis and the new approach is helpful in optimizing resources allocation, resource-savings and maintaining agricultural sustainability.