globalchange  > 气候变化与战略
DOI: 10.5194/hess-24-6021-2020
论文题名:
Anatomy of the 2018 agricultural drought in the Netherlands using in situ soil moisture and satellite vegetation indices
作者: Buitink J.; Swank A.M.; Van Der Ploeg M.; Smith N.E.; Benninga H.-J.F.; Van Der Bolt F.; Carranza C.D.U.; Koren G.; Van Der Velde R.; Teuling A.J.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2020
卷: 24, 期:12
起始页码: 6021
结束页码: 6031
语种: 英语
Scopus关键词: Drought ; Evapotranspiration ; Infrared devices ; Moisture determination ; Remote sensing ; Vegetation ; Video on demand ; Agricultural drought ; Gross primary productivity ; Near infra-red reflectances ; Soil moisture status ; Terrestrial vegetation ; Vegetation condition ; Vegetation optical depth ; Vegetation productivity ; Soil moisture ; drought ; in situ measurement ; satellite data ; soil moisture ; soil-vegetation interaction ; Netherlands
英文摘要: The soil moisture status near the land surface is a key determinant of vegetation productivity. The critical soil moisture content determines the transition from an energy-limited to a water-limited evapotranspiration regime. This study quantifies the critical soil moisture content by comparison of in situ soil moisture profile measurements of the Raam and Twente networks in the Netherlands, with two satellite-derived vegetation indices (near-infrared reflectance of terrestrial vegetation, NIRv, and vegetation optical depth, VOD) during the 2018 summer drought. The critical soil moisture content is obtained through a piece-wise linear correlation of the NIRv and VOD anomalies with soil moisture on different depths of the profile. This non-linear relation reflects the observation that negative soil moisture anomalies develop weeks before the first reduction in vegetation indices: 2-3 weeks in this case. Furthermore, the inferred critical soil moisture content was found to increase with observation depth, and this relationship is shown to be linear and distinctive per area, reflecting the tendency of roots to take up water from deeper layers when drought progresses. The relations of non-stressed towards water-stressed vegetation conditions on distinct depths are derived using remote sensing, enabling the parameterization of reduced evapotranspiration and its effect on gross primary productivity in models to study the impact of a drought on the carbon cycle. © 2020 Author(s).
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162518
Appears in Collections:气候变化与战略

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作者单位: Buitink, J., Hydrology and Quantitative Water Management Group, Wageningen University and Research, Wageningen, Netherlands; Swank, A.M., Hydrology and Quantitative Water Management Group, Wageningen University and Research, Wageningen, Netherlands; Van Der Ploeg, M., Hydrology and Quantitative Water Management Group, Wageningen University and Research, Wageningen, Netherlands, Soil Physics and Land Management Group, Wageningen University and Research, Wageningen, Netherlands; Smith, N.E., Meteorology and Air Quality Group, Wageningen University and Research, Wageningen, Netherlands; Benninga, H.-J.F., Department of Water Resources, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands; Van Der Bolt, F., Water Authority Aa en Maas, 'S Hertogenbosch, Netherlands, Wageningen Environmental Research, Wageningen University and Research, Wageningen, Netherlands; Carranza, C.D.U., Soil Physics and Land Management Group, Wageningen University and Research, Wageningen, Netherlands; Koren, G., Meteorology and Air Quality Group, Wageningen University and Research, Wageningen, Netherlands; Van Der Velde, R., Department of Water Resources, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands; Teuling, A.J., Hydrology and Quantitative Water Management Group, Wageningen University and Research, Wageningen, Netherlands

Recommended Citation:
Buitink J.,Swank A.M.,Van Der Ploeg M.,et al. Anatomy of the 2018 agricultural drought in the Netherlands using in situ soil moisture and satellite vegetation indices[J]. Hydrology and Earth System Sciences,2020-01-01,24(12)
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