： With the acceleration of thc urbanization and industrialization of China, it is inevitable that cultivated land convcrts to built-up land for industrial, commercial and residential uses, which would impose pressure...： With the acceleration of thc urbanization and industrialization of China, it is inevitable that cultivated land convcrts to built-up land for industrial, commercial and residential uses, which would impose pressure both on food security and on the sustainability of urbanization itself tbr such a country with large population and few cultivated land. Based on thc three-time Landsat Thematic Mapper （TM） digital imagcs and statistic data of Hebei Province, the general facts of cultivated land conversion and its driving forces were analyzcd by establishing econometric model in this papcr. Some conclusions werc drawn as the following： during 1985 2000, the rate of cultivated land converting to built-up arca in Hebei was 4.01% or 0.27% pcr year. Of all the converted cultivated land, 20.96% was converted to built-up area and of all the new built-up areas, 83.4% was converted from cultivated land; meanwhile the conversion is uneven not only in time but also in space; factors such as edgc length shared by cultivated land and built-up land, agricultural value per hectare, non-agriculture value per hectarc, GDP, total population, farmer＇s net income per capita and time had significant effects on this conversion.展开更多
为了探究中国土地利用变化驱动机制和未来土地利用状况,该文利用中国科学院资源环境科学数据库中的2000年和2005年土地利用数据,结合区域土地利用变化与影响模型CLUE-S(the conversion of land use and its effects at small regional e...为了探究中国土地利用变化驱动机制和未来土地利用状况,该文利用中国科学院资源环境科学数据库中的2000年和2005年土地利用数据,结合区域土地利用变化与影响模型CLUE-S(the conversion of land use and its effects at small regional extent)和面向地理过程动态环境模型Dinamica EGO(environment for geoprocessing objects)模拟2000-2020年中国土地利用状况,并借助于Logistic回归结果和贝叶斯估计结果,探讨了中国2000-2005年土地利用适宜性和土地利用变化的驱动力空间特征。以2005年土地利用数据对模拟结果进行验证表明,CLUE-S模型和Dinamica EGO模型在LUCC预测上与实际结果一致性较好,并且CLUE-S模型在预测总体精度上优于Dinamica EGO模型。但在土地利用变化类型的数量预测上,Dinamica EGO模型的Markov过程可以准确预测,并且Dinamica EGO模拟的土地利用变化在空间分布上与经验结果较一致。从2020年中国土地利用预测结果来看,耕地、林地、水域和建设用地将会增加,草地会出现大面积的缩减,未利用地在CLUE-S模型预测中出现增加,而在Dinamica EGO模型中减少。该文可为国土资源规划和耕地资源保护政策的制定提供科学依据。展开更多
文摘： With the acceleration of thc urbanization and industrialization of China, it is inevitable that cultivated land convcrts to built-up land for industrial, commercial and residential uses, which would impose pressure both on food security and on the sustainability of urbanization itself tbr such a country with large population and few cultivated land. Based on thc three-time Landsat Thematic Mapper （TM） digital imagcs and statistic data of Hebei Province, the general facts of cultivated land conversion and its driving forces were analyzcd by establishing econometric model in this papcr. Some conclusions werc drawn as the following： during 1985 2000, the rate of cultivated land converting to built-up arca in Hebei was 4.01% or 0.27% pcr year. Of all the converted cultivated land, 20.96% was converted to built-up area and of all the new built-up areas, 83.4% was converted from cultivated land; meanwhile the conversion is uneven not only in time but also in space; factors such as edgc length shared by cultivated land and built-up land, agricultural value per hectare, non-agriculture value per hectarc, GDP, total population, farmer＇s net income per capita and time had significant effects on this conversion.
文摘为了探究中国土地利用变化驱动机制和未来土地利用状况,该文利用中国科学院资源环境科学数据库中的2000年和2005年土地利用数据,结合区域土地利用变化与影响模型CLUE-S(the conversion of land use and its effects at small regional extent)和面向地理过程动态环境模型Dinamica EGO(environment for geoprocessing objects)模拟2000-2020年中国土地利用状况,并借助于Logistic回归结果和贝叶斯估计结果,探讨了中国2000-2005年土地利用适宜性和土地利用变化的驱动力空间特征。以2005年土地利用数据对模拟结果进行验证表明,CLUE-S模型和Dinamica EGO模型在LUCC预测上与实际结果一致性较好,并且CLUE-S模型在预测总体精度上优于Dinamica EGO模型。但在土地利用变化类型的数量预测上,Dinamica EGO模型的Markov过程可以准确预测,并且Dinamica EGO模拟的土地利用变化在空间分布上与经验结果较一致。从2020年中国土地利用预测结果来看,耕地、林地、水域和建设用地将会增加,草地会出现大面积的缩减,未利用地在CLUE-S模型预测中出现增加,而在Dinamica EGO模型中减少。该文可为国土资源规划和耕地资源保护政策的制定提供科学依据。
