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Spatio-Temporal Changes in the Rice Planting Area and Their Relationship to Climate Change in Northeast China: A Model-Based Analysis 被引量:14
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作者 XIA Tian WU Wen-bin +5 位作者 ZHOU Qing-bo YU Qiang-yi Peter H Verburg YANG Peng lu zhong-jun TANG Hua-jun 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2014年第7期1575-1585,共11页
Rice is one of the most important grain crops in Northeast China (NEC) and its cultivation is sensitive to climate change. This study aimed to explore the spatio-temporal changes in the NEC rice planting area over t... Rice is one of the most important grain crops in Northeast China (NEC) and its cultivation is sensitive to climate change. This study aimed to explore the spatio-temporal changes in the NEC rice planting area over the period of 1980-2010 and to analyze their relationship to climate change. To do so, the CLUE-S (conversion of land use and its effects at small region extent) model was ifrst updated and used to simulate dynamic changes in the rice planting area in NEC to understand spatio-temporal change trends during three periods: 1980-1990, 1990-2000 and 2000-2010. The changing results in individual periods were then linked to climatic variables to investigate the climatic drivers of these changes. Results showed that the NEC rice planting area expanded quickly and increased by nearly 4.5 times during 1980-2010. The concentration of newly planted rice areas in NEC constantly moved northward and the changes were strongly dependent on latitude. This conifrmed that climate change, increases in temperature in particular, greatly inlfuenced the shift in the rice planting area. The shift in the north limit of the NEC rice planting area generally followed a 1&#176;C isoline migration pattern, but with an obvious time-lag effect. These ifndings can help policy makers and crop producers take proper adaptation measures even when exposed to the global warming situation in NEC. 展开更多
关键词 spatio-temporal change rice planting area climate change Northeast China
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Interpretation of Climate Change and Agricultural Adaptations by Local Household Farmers: a Case Study at Bin County, Northeast China 被引量:9
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作者 YU Qiang-yi WU Wen-bin +6 位作者 LIU Zhen-huan Peter H Verburg XIA Tian YANG Peng lu zhong-jun YOU Liang-zhi TANG Hua-jun 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2014年第7期1599-1608,共10页
Although climate change impacts and agricultural adaptations have been studied extensively, how smallholder farmers perceive climate change and adapt their agricultural activities is poorly understood. Survey-based da... Although climate change impacts and agricultural adaptations have been studied extensively, how smallholder farmers perceive climate change and adapt their agricultural activities is poorly understood. Survey-based data (presents farmers' personal perceptions and adaptations to climate change) associated with external biophysical-socioeconomic data (presents real-world climate change) were used to develop a farmer-centered framework to explore climate change impacts and agricultural adaptations at a local level. A case study at Bin County (1980s-2010s), Northeast China, suggested that increased annual average temperature (0.6&#176;C per decade) and decreased annual precipitation (46 mm per decade, both from meteorological datasets) were correctly perceived by 76 and 66.9%, respectively, of farmers from the survey, and that a longer growing season was conifrmed by 70%of them. These reasonably correct perceptions enabled local farmers to make appropriate adaptations to cope with climate change:Longer season alternative varieties were found for maize and rice, which led to a signiifcant yield increase for both crops. The longer season also affected crop choice:More farmers selected maize instead of soybean, as implicated from survey results by a large increase in the maize growing area. Comparing warming-related factors, we found that precipitation and agricultural disasters were the least likely causes for farmers' agricultural decisions. As a result, crop and variety selection, rather than disaster prevention and infrastructure improvement, was the most common ways for farmers to adapt to the notable warming trend in the study region. 展开更多
关键词 perception adaptation survey climate change agriculture
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Rice cultivation changes and its relationships with geographical factors in Heilongjiang Province,China 被引量:8
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作者 lu zhong-jun SONG Qian +4 位作者 LIU Ke-bao WU Wen-bin LIU Yan-xia XIN Rui ZHANG Dong-mei 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2017年第10期2274-2282,共9页
Rice planting patterns have changed dramatically over the past several decades in northeast China (NEC) due to the combined influence of global change and agricultural policy. Except for its great implications for e... Rice planting patterns have changed dramatically over the past several decades in northeast China (NEC) due to the combined influence of global change and agricultural policy. Except for its great implications for environmental protection and climate change adaption, the spatio-temporal changes of rice cultivation in NEC are not clear. In this study, we conducted spatio-temporal analyses of NEC's major rice production region, Heilongjiang Province, by using satellite-derived rice cultivation maps. We found that the total cultivated area of rice in Heilongjiang Province increased largely from 1993 to 2011 and it expanded spatially to the northern and eastern part of the Sanjiang Plain. The results also showed that rice cultivation areas experienced a larger increase in the region managed by the Reclamation Management Bureau (RMB) than that managed by the local provincial government. Rice cultivation changes were closely related with those geographic factors over the investigated periods, represented by the geomorphic (slope), climatic (accumulated temperature), and hydrological (watershed) variables. These findings provide clear evidence that crop cultivation in NEC has been modified to better cope with the global change. 展开更多
关键词 paddy rice spatio-temporal change cultivation area geographical factors
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基于Sentinel-2影像的青冈县土壤表层有机质空间格局反演
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作者 陆忠军 刘克宝 +3 位作者 辛蕊 付斌 黄楠 刘艳霞 《黑龙江农业科学》 2022年第10期89-93,共5页
为促进土壤碳氮循环研究和土壤质量评价,选择松嫩平原中部青冈县为研究区,以表层(0~20 cm)土壤有机质含量为研究对象,利用土壤有机质野外采集点状数据,基于哨兵(Sentinel-2)卫星全波段数据,反演研究区内土壤有机质含量。通过一景数据建... 为促进土壤碳氮循环研究和土壤质量评价,选择松嫩平原中部青冈县为研究区,以表层(0~20 cm)土壤有机质含量为研究对象,利用土壤有机质野外采集点状数据,基于哨兵(Sentinel-2)卫星全波段数据,反演研究区内土壤有机质含量。通过一景数据建模,另一景数据验证的方式,探索验证哨兵数据在土壤有机质遥感识别的迁移性和区域适用性,并结合高程和坡度数据分析土壤有机质空间分布特征。结果表明,(1)采用Sentinel-2卫星影像数据结合地面数据,用偏最小二乘回归法构建土壤有机质含量反演模型时,4种参数-原始波段(REF)、倒数(1/R)、对数的倒数[log(1/R)]和倒数的对数(1/logR)中倒数(1/R)的效果最好。(2)本研究利用同一年临近期两景Sentinel-2影像数据,探讨模型在邻近区域的适用性,验证精度RMSE为0.147,模型可用于青冈周边区域的土壤有机质含量反演。(3)黑土地保护利用项目区内伴随着纬度的升高,有机质含量呈现下降的趋势:210~220 m高程的平均土壤有机质最高,>230 m高程的平均土壤有机质含量最低,有机质含量在各高程等级差异性不明显;坡度≤2°区域有机质含量最高,伴随着坡度增加,有机质含量呈现降低趋势。 展开更多
关键词 Sentinel-2 土壤有机质 空间格局 反演
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