Primary productivity of natural grass ecosystems of the tropics: A reappraisal

Primary productivity of natural grass ecosystems of the tropics: A reappraisal
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DOI:
10.1007/bf02202584
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发表时间:
1989-04
期刊:
影响因子:
4.9
通讯作者:
S. Long;E. G. Moya;S. K. Imbamba;A. Kamnalrut;M. Piedade;J. Scurlock;Y. Shen;D. Hall
S. Long;E. G. Moya;S. K. Imbamba;A. Kamnalrut;M. Piedade;J. Scurlock;Y. Shen;D. Hall
中科院分区:
农林科学2区
文献类型:
--
作者:
S. Long;E. G. Moya;S. K. Imbamba;A. Kamnalrut;M. Piedade;J. Scurlock;Y. Shen;D. Hall

文献摘要

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对四个对比鲜明的热带草原的净初级生产力的研究表明,当充分考虑地上和地下植物器官的损失时,这些生态系统的生产力远远高于以前的建议。以前的数值主要是由国际生物方案提供的,该方案对产量的估计仅基于植被量的变化,不一定充分考虑到器官损失和周转。在我们的三个站点的计算方法的基础上使用的植物质量的变化(即国际生物学计划,IBP使用)被证明是严重低估了当考虑到损失的同时测量植物质量的变化。考虑到这三个地点的材料周转率,生产率比使用标准IBP程序获得的生产率高出五倍。在亚马逊河流域的第四个地点,一个紧急的C4草站达到了接近农业作物最高记录的生产力。在这种情况下,当考虑器官损失时,生产力值仅略高于IBP方法获得的值。这里报告的研究结果有更广泛的影响,在全球碳循环的预测,遥感植物生产力和转换到耕地种植系统的影响评估。
Studies of net primary production in four contrasting tropical grasslands show that when full account is taken of losses of plant organs above-and below-ground these ecosystems are far more productive than earlier suggested. Previous values have mainly been provided by the International Biological Programme (IBP), where estimates of production were based on a change in vegetation mass alone and would not necessarily have taken full account of organ losses and turnover. Calculation at three of our sites based on established methodology using changes in plant mass alone (i.e. that used by the International Biological Programme, IBP) proved to be serious underestimates of when account was taken of losses simultaneously with measurement of change in plant mass. Accounting for the turnover of material at these three sites resulted in productivities up to five times higher than were obtained using the standard IBP procedure. An emergent C4grass stand at a fourth site in the Amazon achieved a productivity which approached the maximum recorded for agricultural crops. In this case, productivity values, when organ losses were taken into account, only slightly exceeded that obtained with IBP methods. The findings reported here have wider implications, in prediction of global carbon cycling, remote sensing of plant productivity and impact assessment of conversion to arable cropping systems.