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多年来,十大人口最多的特大城市中总初级生产力与太阳诱导叶绿素荧光之间的时间一致性。

Temporal consistency between gross primary production and solar-induced chlorophyll fluorescence in the ten most populous megacity areas over years.

机构信息

Collaborative Innovation Center for the "Three Modernization" Harmonious Development of Central Plains Economic Region, Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Kaifeng, Henan, 475004, China.

Department of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma, Norman, Oklahoma, 73072, USA.

出版信息

Sci Rep. 2017 Nov 2;7(1):14963. doi: 10.1038/s41598-017-13783-5.

Abstract

The gross primary production (GPP) of vegetation in urban areas plays an important role in the study of urban ecology. It is difficult however, to accurately estimate GPP in urban areas, mostly due to the complexity of impervious land surfaces, buildings, vegetation, and management. Recently, we used the Vegetation Photosynthesis Model (VPM), climate data, and satellite images to estimate the GPP of terrestrial ecosystems including urban areas. Here, we report VPM-based GPP (GPP) estimates for the world's ten most populous megacities during 2000-2014. The seasonal dynamics of GPP during 2007-2014 in the ten megacities track well that of the solar-induced chlorophyll fluorescence (SIF) data from GOME-2 at 0.5° × 0.5° resolution. Annual GPP during 2000-2014 also shows substantial variation among the ten megacities, and year-to-year trends show increases, no change, and decreases. Urban expansion and vegetation collectively impact GPP variations in these megacities. The results of this study demonstrate the potential of a satellite-based vegetation photosynthesis model for diagnostic studies of GPP and the terrestrial carbon cycle in urban areas.

摘要

城市植被的总初级生产力(GPP)在城市生态学研究中起着重要作用。然而,由于不透水面、建筑物、植被和管理的复杂性,要准确估算城市地区的 GPP 非常困难。最近,我们使用植被光合作用模型(VPM)、气候数据和卫星图像来估算包括城市地区在内的陆地生态系统的 GPP。在这里,我们报告了 2000-2014 年世界十大人口最多的特大城市的基于 VPM 的 GPP(GPP)估算值。这十大特大城市在 2007-2014 年期间的 GPP 季节性动态与 GOME-2 在 0.5°×0.5°分辨率下的太阳诱导叶绿素荧光(SIF)数据的季节性动态非常吻合。2000-2014 年期间的年 GPP 也在这十大特大城市之间存在很大差异,且逐年呈增加、不变和减少趋势。城市扩张和植被共同影响这些特大城市的 GPP 变化。本研究的结果表明,基于卫星的植被光合作用模型具有用于诊断城市地区 GPP 和陆地碳循环的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa48/5668374/4c7144ca9054/41598_2017_13783_Fig1_HTML.jpg

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