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根据2000—2014年东北三省碳排放的相关数据,结合空间探索性分析及地理加权回归等模型方法,对研究区农田生态系统碳排放量的空间集聚性、差异性及其重要驱动因素进行研究.结果表明:东北三省农田生态系统碳排放量存在比较显著的全局空间正相关,自相关性在整体上表现出逐渐增强的趋势,到2014年全局Moran's I指数达到最高值0.3395.在局部空间相关关系上,东北三省农田生态系统碳排放量的高-高区域集中在黑龙江省和吉林省,低-低地区主要集中在辽宁省,表现出不平衡的发展格局.人均GDP对农田生态系统碳排放有负效应,总人口数对农田生态系统碳排放的影响从正效应转变为负效应,化肥施用对农田生态系统碳排放影响程度的空间分布格局发生了较大变化,代表生产技术水平和能源消耗的农业化肥施用量和农业机械总动力因素对农田生态系统碳排放的影响较大,东北三省农田生态系统碳排放和农业机械总动力相关程度有逐渐趋同的趋势.  相似文献   
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Little is known about the importance of landscape and land cover to the implementation and performance of agricultural conservation projects designed to improve stream quality. In our study, we addressed the potential importance of landscape and land cover to conservation projects by measuring variation across 191 μ-basins (100–2400 ha) and integrating the observed variation into a study design aimed at determining the effectiveness of conservation projects. Our findings indicate that there are strong gradients across which landscape and land cover attributes vary. Land cover varied along a gradient of agricultural intensity, basin morphometry across gradients of stream closure and basin size, basin substrate was described by variation in drumlin formation, glacial landform type, and soil drainage, while agricultural conservation projects varied according to the level of project implementation. Correlation of these gradients found several associations between landscape and land cover, indicating that agricultural intensity was being constrained predominantly by drumlin formation and glacial landform type. Landscape and land cover did not appear to be determining factors in the implementation of conservation projects by land owners. Based on these findings we chose 32 μ-basins which represented the variability along each of the defined gradients for further study. We conclude that landscape scale variables demonstrate important variation and covariation that can and should be integrated into study designs for the assessment of streams and human activities affecting streams.  相似文献   
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