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Simulating the impacts of land-use land-cover changes on cropland carbon fluxes in the Midwest of the United States.

机译:模拟美国中西部土地利用的土地覆盖变化对农田碳通量的影响。

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摘要

Understanding the major drivers of the cropland carbon fluxes is important for carbon management and greenhouse gas mitigation in agriculture. Past studies found that agricultural land-use and land-cover (LULC) changes, such as changes in cropland production technologies, tillage practices, and planted crop species, could have large impacts on carbon fluxes. However, the impacts remain highly uncertain at regional to global scales.;Satellite remote sensing is commonly used to create products with geospatial information on LULC changes. This geospatial information can be integrated into biogeochemical models to simulate the spatial and temporal patterns of carbon fluxes.;We used the General Ensemble Biogeochemical Modeling System (GEMS) to study LULC change impacts on cropland carbon fluxes in the Midwest USA. First we evaluated the impacts of LULC change on cropland net primary production (NPP) estimates. We found out the high spatial variability of cropland NPP across the study region was strongly related to the changes in crop species. Ignoring information about crop species distributions could introduce large biases into NPP estimates.;We then investigated whether the characteristics of LULC change could impact the uncertainties of carbon flux estimates (i.e., NPP, net ecosystem production (NEP) and soil organic carbon (SOC)) using GEMS and two other models. The uncertainties of all three flux estimates were spatial autocorrelated. Land cover characteristics, such as cropland percentage, crop richness, and land cover diversity all showed statistically significant relationships with the uncertainties of NPP and NEP, but not with the uncertainties of SOC changes.;The impacts of LULC change on SOC changes were further studied with historical LULC data from 1980 to 2012 using GEMS simulations. The results showed that cropland production increase over time from technology improvements had the largest impacts on cropland SOC change, followed by expansion of conservation tillage.;This study advanced the scientific knowledge of cropland carbon fluxes and the impacts of various management practices over an agricultural area. The findings could help future carbon cycle studies to generate more accurate estimates on spatial and temporal changes of carbon fluxes.
机译:了解农田碳通量的主要驱动因素对于农业碳管理和温室气体减排至关重要。过去的研究发现,农业土地利用和土地覆被(LULC)的变化(例如耕地生产技术,耕作方式和种植的农作物种类的变化)可能会对碳通量产生重大影响。但是,影响在区域乃至全球范围内仍然非常不确定。;卫星遥感通常用于创建具有有关LULC变化的地理空间信息的产品。可以将这些地理空间信息整合到生物地球化学模型中,以模拟碳通量的时空分布。我们使用通用集合生物地球化学建模系统(GEMS)研究了LULC变化对美国中西部农田碳通量的影响。首先,我们评估了土地利用变化和土地利用变化对农田净初级生产力(NPP)估计值的影响。我们发现研究区域内农田NPP的高空间变异性与农作物物种的变化密切相关。忽略有关作物物种分布的信息可能会给NPP估计值带来较大的偏差。;然后我们调查了LULC变化的特征是否会影响碳通量估计值的不确定性(即NPP,净生态系统产量(NEP)和土壤有机碳(SOC)) )使用GEMS和其他两个模型。所有三个通量估计的不确定性都是空间自相关的。耕地百分比,作物富裕度和土地覆盖多样性等土地覆盖特征与NPP和NEP的不确定性均具有统计学意义,而与SOC变化的不确定性无统计学意义。; LULC变化对SOC变化的影响使用GEMS模拟获得了1980年至2012年的历史LULC数据。结果表明,随着技术的进步,随着时间的推移耕地产量的增加对耕地SOC的变化影响最大,其次是保护性耕作的扩大。;本研究提高了耕地碳通量的科学知识以及各种管理实践对农业地区的影响。这些发现可能有助于未来的碳循环研究,以更准确地估算碳通量的时空变化。

著录项

  • 作者

    Li, Zhengpeng.;

  • 作者单位

    South Dakota State University.;

  • 授予单位 South Dakota State University.;
  • 学科 Geographic information science and geodesy.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 159 p.
  • 总页数 159
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:39:46

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