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首页> 外文期刊>Science of the total environment >Simulating the impacts of land use in Northwest Europe on Net Ecosystem Exchange (NEE): The role of arable ecosystems, grasslands and forest plantations in climate change mitigation
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Simulating the impacts of land use in Northwest Europe on Net Ecosystem Exchange (NEE): The role of arable ecosystems, grasslands and forest plantations in climate change mitigation

机译：模拟西北欧洲土地使用对净生态系统交换（NEE）的影响：可耕生态系统，草地和森林人工林在缓解气候变化中的作用

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摘要

In this study, we compared measured and simulated Net Ecosystem Exchange (NEE) values from three wide spread ecosystems in the southeast of Ireland (forest, arable and grassland), and investigated the suitability of the DNDC (the DeNitrification-DeComposition) model to estimate present and future NEE. Although, the field-DNDC version overestimated NEE at temperatures ＞5 ℃, forest-DNDC under-estimated NEE at temperatures ＞ 5 ℃. The results suggest that the field/forest DNDC models can successfully estimate changes in seasonal and annual NEE from these ecosystems. Differences in NEE were found to be primarily land cover specific. The annual NEE was similar for the grassland and arable sites, but due to the contribution of exported carbon, the soil carbon increased at the grassland site and decreased at the arable site. The NEE of the forest site was an order of magnitude larger than that of the grassland or arable ecosystems, with large amounts of carbon stored in woody biomass and the soil. The average annual NEE, GPP and R_(eco) values over the measurement period were -904, 2379 and 1475 g C m~(-2) (forest plantations), -189, 906 and 715 g C m~(-2) (arable systems) and -212, 1653 and 1444 g C m~(-2) (grasslands), respectively. The average RMSE values were 3.8 g C m~(-2) (forest plantations), 0.12 g C m~(-2) (arable systems) and 0.21 g C m~(-2) (grasslands). When these models were run with climate change scenarios to 2060, predictions show that all three ecosystems will continue to operate as carbon sinks. Further, climate change may decrease the carbon sink strength in the forest plantations by up to 50%. This study supports the use of the DNDC model as a valid tool to predict the consequences of climate change on NEE from different ecosystems.
机译：在本研究中，我们比较了爱尔兰东南部三个广泛传播的生态系统（森林，耕地和草地）的实测和模拟净生态系统交换（NEE）值，并研究了DNDC（DeNitrification-DeComposition）模型的适用性以进行估算现在和将来的NEE。虽然，现场DNDC版本在高于5℃时高估了NEE，而森林DNDC在高于5℃时低估了NEE。结果表明，田间/森林DNDC模型可以成功估算这些生态系统的季节性和年度NEE变化。 NEE的差异主要是针对土地覆盖。草地和耕地的年NEE相似，但是由于出口碳的贡献，土壤碳在草地上增加，而在耕地上减少。森林站点的NEE比草地或耕地生态系统的NEE大一个数量级，其中大量碳存储在木质生物量和土壤中。测量期间的年均NEE，GPP和R_（eco）值分别为-904、2379和1475 g C m〜（-2）（人工林），-189、906和715 g C m〜（-2） （耕作系统）和-212、1653和1444 g C m〜（-2）（草地）。 RMSE的平均值为3.8 g C m〜（-2）（森林），0.12 g C m〜（-2）（可耕种）和0.21 g C m〜（-2）（草地）。当这些模型与2060年的气候变化情景一起运行时，预测表明这三个生态系统将继续作为碳汇运行。此外，气候变化可能会使森林人工林的碳汇强度降低多达50％。这项研究支持将DNDC模型用作预测气候变化对不同生态系统的NEE后果的有效工具。

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  • 来源
    《Science of the total environment》 |2013年第1期|325-336|共12页
  • 作者

    Mohamed Abdalla; Matthew Saunders; Astley Hastings; Mike Williams; Pete Smith; Bruce Osborne; Gary Lanigan; Mike B. Jones;

  • 作者单位

    Department of Botany, School of Natural Sciences, Trinity College Dublin, Dublin 2, Ireland,Institute of Biological and Environmental Sciences, School of Biological Sciences, University of Aberdeen, 23 St. Machar Drive, Aberdeen, AB24 3UU, UK;

    School of Biology and Environmental Science, University College Dublin, Belfield, Dublin 4, Ireland;

    Institute of Biological and Environmental Sciences, School of Biological Sciences, University of Aberdeen, 23 St. Machar Drive, Aberdeen, AB24 3UU, UK;

    Department of Botany, School of Natural Sciences, Trinity College Dublin, Dublin 2, Ireland;

    Institute of Biological and Environmental Sciences, School of Biological Sciences, University of Aberdeen, 23 St. Machar Drive, Aberdeen, AB24 3UU, UK;

    School of Biology and Environmental Science, University College Dublin, Belfield, Dublin 4, Ireland;

    Teagasc, Johnstown Castle Research Centre, Wexford, Ireland;

    Department of Botany, School of Natural Sciences, Trinity College Dublin, Dublin 2, Ireland;

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  • 正文语种 eng
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  • 关键词

    DNDC model; Net Ecosystem Exchange; Land use; Sitka spruce; Grassland; Arable land;

    机译：DNDC模型;净生态系统交换;土地利用;锡特卡云杉;草原;耕地;

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