Diverse biosphere influence on carbon and heat in mixed urban Mediterranean landscape revealed by high resolution thermal and optical remote sensing

被引:7
|
作者
Parazoo, Nicholas C. [1 ]
Coleman, Red Willow [2 ]
Yadav, Vineet [1 ]
Stavros, E. Natasha [3 ]
Hulley, Glynn [1 ]
Hutyra, Lucy [4 ]
机构
[1] CALTECH, Jet Prop Lab, Pasadena, CA USA
[2] Harvey Mudd Coll, Dept Biol, Claremont, CA 91711 USA
[3] Univ Colorado, Boulder, CO 80309 USA
[4] Boston Univ, Dept Earth Er Environm, Boston, MA 02215 USA
基金
美国国家航空航天局;
关键词
Carbon cycling; Urban Heat Island; Urban biosphere; Land management; Landscape fragmentation; Climate change; VEGETATION; SURFACE; FLUXES; CO2; VULNERABILITY; FLUORESCENCE; SEASONALITY; ISLANDS; SCALE;
D O I
10.1016/j.scitotenv.2021.151335
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A fundamental challenge in verifying urban CO2 emissions reductions is estimating the biological influence that can confound emission source attribution across heterogeneous and diverse landscapes. Recent work using atmospheric radiocarbon revealed a substantial seasonal influence of the managed urban biosphere on regional carbon budgets in the Los Angeles megacity, but lacked spatially explicit attribution of the diverse biological influences needed for flux quantification and decision making. New high-resolution maps of land cover (0.6 in) and irrigation (30 in) derived from optical and thermal sensors can simultaneously resolve landscape influences related to vegetation type (tree, grass, shrub), land use, and fragmentation needed to accurately quantify biological influences on CO2 exchange in complex urban environments. We integrate these maps with the Urban Vegetation Photosynthesis and Respiration Model (UrbanVPRM) to quantify spatial and seasonal variability in gross primary production (GPP) across urban and non-urban regions of Southern California Air Basin (SoCAB). Results show that land use and landscape fragmentation have a significant influence on urban GPP and canopy temperature within the water-limited Mediterranean SoCAB climate. Irrigated vegetation accounts for 31% of urban GPP, driven by turfgrass, and is more productive (1.7 vs 0.9 mu mol m(-2) s(-1)) and cooler (2.2 +/- 0.5 K) than non-irrigated vegetation during hot dry summer months. Fragmented landscapes, representing mostly vegetated urban greenspaces, account for 50% of urban GPP. Cooling from irrigation alleviates strong warming along greenspace edges within 100 m of impervious surfaces, and increases GPP by a factor of two, compared to non-irrigated edges. Finally, we note that non-irrigated shrubs are typically more productive than non- irrigated trees and grass, and equally productive as irrigated vegetation. These results imply a potential water savings benefit of urban shrubs, but more work is needed to understand carbon vs water usage tradeoffs of managed vs unmanaged vegetation. (C) 2021 Elsevier B.V. All rights reserved.
引用
收藏
页数:10
相关论文
共 31 条
  • [1] Study on Urban Green Landscape Pattern Based on High Resolution Remote Sensing Image
    Ye Lizao
    Li Hu
    He Guangjun
    Niu Ting
    Chen Donghua
    PROCEEDINGS 2013 INTERNATIONAL CONFERENCE ON MECHATRONIC SCIENCES, ELECTRIC ENGINEERING AND COMPUTER (MEC), 2013, : 703 - 706
  • [2] Application of high-resolution thermal infrared remote sensing and GIS to assess the urban heat island effect
    Lo, CP
    Quattrochi, DA
    Luvall, JC
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 1997, 18 (02) : 287 - 304
  • [3] Quantifying Urban Landscape Water Conservation Potential Using High Resolution Remote Sensing and GIS
    Farag, Fayek A.
    Neale, Christopher M. U.
    Kjelgren, Roger K.
    Endter-Wada, Joanna
    PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2011, 77 (11): : 1113 - 1122
  • [4] Carbon Sequestration and Landscape Influences in Urban Greenspace Coverage Variability: A High-Resolution Remote Sensing Study in Luohe, China
    Huang, Jing
    Song, Peihao
    Liu, Xiaojuan
    Li, Ang
    Wang, Xinyu
    Liu, Baoguo
    Feng, Yuan
    FORESTS, 2024, 15 (11):
  • [5] Urban villages extraction from high-resolution remote sensing imagery based on landscape semantic metrics
    Zhang T.
    Ding L.
    Shi F.
    Cehui Xuebao/Acta Geodaetica et Cartographica Sinica, 2021, 50 (01): : 97 - 104
  • [6] High resolution remote sensing for reducing uncertainties in urban forest carbon offset life cycle assessments
    Jan Tigges
    Tobia Lakes
    Carbon Balance and Management, 12
  • [7] High resolution remote sensing for reducing uncertainties in urban forest carbon offset life cycle assessments
    Tigges, Jan
    Lakes, Tobia
    CARBON BALANCE AND MANAGEMENT, 2017, 12
  • [8] The Application of High Resolution Remote Sensing Image to Urban Economy Construction-Take an Example of Urban Three-Dimensional Landscape
    Ma, Huijun
    Xie, Chao
    PROCEEDINGS OF 2010 ASIA-PACIFIC YOUTH CONFERENCE ON COMMUNICATION, VOLS 1 AND 2, 2010, : 47 - 50
  • [9] The Vanishing and Renewal Landscape of Urban Villages Using High-Resolution Remote Sensing: The Case of Haidian District in Beijing
    Wei, Hubin
    Cao, Yue
    Qi, Wei
    REMOTE SENSING, 2023, 15 (07)
  • [10] High-Resolution Remote Sensing Images Can Better Estimate Changes in Carbon Assimilation of an Urban Forest
    Huang, Qing
    Lu, Xuehe
    Chen, Fanxingyu
    Zhang, Qian
    Zhang, Haidong
    REMOTE SENSING, 2023, 15 (01)