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Modeling the driving forces of land use and land cover changes along the upper Yangtze River in China.

机译：对中国长江上游土地利用和土地覆盖变化的驱动力进行建模。

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摘要

Induced by high population density, rapid but uneven economic growth, and historic resource exploitation, China's upper Yangtze basin has witnessed remarkable changes in land use and cover, which have resulted in severe environmental consequences, such as flooding, soil erosion, and habitat loss. This research depicts the land use pattern and examines the driving forces of land use and land cover change (LUCC) along the Jinsha River, one primary section of the upper Yangtze, aiming at better understanding the complex human and nature processes underlying the LUCC and to provide policy implications on more sustainable land use and environmental protection.;Using land use data derived from remotely sensed images and second-hand survey and statistics covering 31 counties over 5 time points from 1975 to 2000, the research first constructs a fractional logit model to empirically examine the effects of socioeconomic and institutional factors on changes for the share of cropland, forestland, and grassland. Next, the research develops a cropland structural model and a forestland structural model respectively to further investigate the complex human and natural processes underlying the LUCC. Cropland structural model illustrates that cropland use interacts with grain production and agricultural technological progress and meanwhile the environmental consequence of the land uses also imposes significance feedbacks.;Forestland structural model analyzes the forestland change in consideration of its interrelationships with stocking volume and timber production. Results illustrate the critical role of agricultural technological change in producing food on a limited cropland base, highlight the importance of institutions and policies---such as forest ownership, food self-sufficiency policy, forest and soil conservation projects, and also show the significant effects of population expansion, industry development, and better market access and natural factor on the LUCC.;The research not only improves our understanding of the complex human and natural connections in the LUCC process, but also implies that understanding multiple driving forces and their different impacts on the different land use will help prioritize and balance various policies and actions in accomplishing a more satisfactory goal of land use. The research thus provides some suggestions on supporting the agricultural technological progress, reforming the collective forestland tenure, encouraging the market development and expanding the environmental protection programs. In observation of limitations of this research, the future research directions are also discussed.
机译：在高人口密度，快速但不均衡的经济增长以及历史性资源开发的诱使下，中国长江上游地区的土地利用和覆盖率发生了显着变化，导致了严重的环境后果，例如洪水，水土流失和栖息地丧失。这项研究描绘了土地利用模式，并考察了长江上游的一个主要部分金沙江沿岸土地利用和土地覆盖变化的驱动力，旨在更好地了解土地利用变化的基本人类过程和自然过程。该研究利用从1975年至2000年5个时间点的31个县的遥感图像和二手调查及统计数据得出的土地利用数据，首先构建了分数logit模型以从经验上考察社会经济和制度因素对耕地，林地和草地份额变化的影响。接下来，该研究分别开发了农田结构模型和林地结构模型，以进一步研究LUCC背后的复杂人为和自然过程。耕地结构模型说明耕地利用与粮食生产和农业技术进步之间存在相互作用，同时土地利用的环境后果也产生了重要的反馈。林地结构模型考虑到林地变化与蓄积量和木材产量之间的相互关系来分析林地变化。结果说明了农业技术变革在有限的农田基础上生产粮食的关键作用，强调了诸如森林所有权，粮食自给自足政策，森林和土壤保护项目等制度和政策的重要性，并显示了重要的意义。人口增长，产业发展以及更好的市场准入和自然因素对土地利用变化的影响。研究不仅提高了我们对土地利用变化的过程中复杂的人与自然联系的理解，而且还暗示着理解多种驱动力及其不同之处。对不同土地利用的影响将有助于优先考虑和平衡各种政策和行动，以实现更令人满意的土地利用目标。因此，本研究为支持农业技术进步，改革集体林地权属，鼓励市场发展和扩大环境保护计划提供了一些建议。鉴于本研究的局限性，还讨论了未来的研究方向。

著录项

  • 作者

    Xiang, Qing.;

  • 作者单位

    Michigan State University.;

  • 授予单位 Michigan State University.;
  • 学科 Economics General.;Economics Agricultural.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 139 p.
  • 总页数 139
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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