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Farmland dynamics in Pingtan, China: understanding its transition, landscape structure and driving factors

机译:中国平潭县耕地动态:了解其转变,景观结构和驱动因素

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摘要

The knowledge of farmland dynamics is pivotal to design its management sustainably and enhance food security. Using remote sensing and socioeconomic data, this paper analyses farmland transition, its landscape structure, and the associated drivers in Pingtan Island. The results revealed that the decline of farmland was much faster (317 ha/year) compared with its expansion (106.9 ha/year) during the study period. Across periods, farmland experienced a moderate-to-very rapid intensity of change. It tends to lose than to persist and its stable part decreased continuously. The changed part of farmland was largely attributable to the swap changes than that of the net change. Both its inward and outward conversions were generally limited to a few dominant cover types that include urban, shrub, forest and grassland. In response to farmland shrinkage and the increase of labour wages in other economic sectors, farmers have engaged in off-farm activities to support their economy, besides the compensation they owned from the government. The shape complexity and the variability of size among farmland patches showed a decrease. Except in the first period; however, the level of disintegration among patches increased successively. Both expanded and stable part of farmland exhibited more dispersed spatial configuration than that of the decreased part in the last two decades (1996-2017). Farmland change was significantly influenced by factors such as GDP, wage, per capita GDP, road expansion and the total population in the first component of a regression model (C1) that contains the highest proportion of variance in both dependent and explanatory variables (>= 72%). Policies of ecological management and economic development also accelerated farmland decline, which calls for its stricter protection policies. The result of this study would serve as the baseline information for farmland management in the study area and as a reference for future studies.
机译:农田动态知识对于可持续地设计其管理并增强粮食安全至关重要。利用遥感和社会经济数据,本文分析了平潭岛的耕地过渡,景观结构以及相关的驱动因素。结果表明,在研究期间,农田的减少速度更快(317公顷/年),而其扩张速度(106.9公顷/年)要快得多。在整个时期,农田经历了中等到非常快的变化强度。它倾向于丢失而不是持续存在,并且其稳定部分不断减少。耕地的变化部分主要归因于交换变化,而不是净变化。其向内和向外的转换通常都限于少数主要的覆盖类型,包括城市,灌木,森林和草地。为了应对农田的萎缩和其他经济部门劳动工资的增长,农民除了获得政府的补偿外,还开展了农业以外的活动来支持其经济。农田斑块的形状复杂性和大小变异性降低。第一期除外;然而,斑块之间的崩解水平连续增加。在过去的二十年中(1996-2017年),耕地的扩张部分和稳定部分均显示出比减少部分更分散的空间结构。农田变化受到GDP,工资,人均GDP,道路扩张和总人口等因素的显着影响,该模型的回归模型(C1)的第一部分在因变量和解释变量中均包含最大比例的方差(> = 72%)。生态管理和经济发展政策也加速了耕地面积的减少,这要求采取更加严格的保护政策。这项研究的结果将作为研究区域农田管理的基准信息,并为将来的研究提供参考。

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