Assessment of soil respiration patterns in an irrigated corn field based on spectral information acquired by field spectroscopy

Cicuéndez, Víctor; Rodríguez-Rastrero, Manuel; Huesca, Margarita; Uribe, C.; Schmid, Thomas; Inclán, R.; Litago, Javier; Sánchez-Girón, V.; Miguel, S. Merino de; Palacios-Orueta, Alicia

doi:10.1016/j.agee.2015.06.020

Cited by 14 publications

(16 citation statements)

References 59 publications

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“…With regard to semiarid irrigated areas, high values of VPD may reflect the surrounding arid conditions but do not take into account the real values of water availability [42]. Similar conclusions were achieved by Cicuéndez et al [71] when comparing MODIS GPP with EC-derived GPP showing the importance of water availability apart from VPD. In addition, MOD16 considers the surface of the soil covered by water to be zero when RH is less than 70%.…”

Section: Validation Of the Pt-jpl-thermal Etsupporting

confidence: 64%

Vegetation Water Use Based on a Thermal and Optical Remote Sensing Model in the Mediterranean Region of Doñana

et al. 2018

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Terrestrial evapotranspiration (ET) is a central process in the climate system, is a major component in the terrestrial water budget, and is responsible for the distribution of water and energy on land surfaces especially in arid and semiarid areas. In order to inform water management decisions especially in scarce water environments, it is important to assess ET vegetation use by differentiating irrigated socio-economic areas and natural ecosystems. The global remote sensing ET product MOD16 has proven to underestimate ET in semiarid regions where ET is very sensitive to soil moisture. The objective of this research was to test whether a modified version of the remote sensing ET model PT-JPL, proven to perform well in drylands at Eddy Covariance flux sites using the land surface temperature as a proxy to the surface moisture status (PT-JPL-thermal), could be up-scaled at regional levels introducing also a new formulation for net radiation from various MODIS products. We applied three methods to track the spatial and temporal characteristics of ET in the World Heritage UNESCO Doñana region: (i) a locally calibrated hydrological model (WATEN), (ii) the PT-JPL-thermal, and (iii) the global remote sensing ET product MOD16. The PT-JPL-thermal showed strong agreement with the WATEN ET in-situ calibrated estimates (ρ = 0.78, ρ 1month-lag = 0.94) even though the MOD16 product did not (ρ = 0.48). The PT-JPL-thermal approach has proven to be a robust remote sensing model for detecting ET at a regional level in Mediterranean environments and it requires only air temperature and incoming solar radiation from climatic databases apart from freely available satellite products.The global water cycle is changing due to the combined effects of climate change and human interventions during the 21st century [1]. One of the greatest challenges is keeping water consumption at sustainable levels, which is more complex due to the increasing population in a context of climate uncertainty [2,3] and 3.5-4.4 billion people estimated under water scarcity conditions in 2050 [4]. Many regions of the world can expect a combination of increasing temperatures (largely increasing evaporative demand) and decreasing precipitation patterns, which leads to increased stress on tackling water demand [5]. A prime example of this is the Mediterranean region, which is consistently projected as a "hotspot" of drying trends and prolonged water scarcity conditions [6,7].The Iberian Peninsula is predicted to be among the most affected areas by severe droughts by the end of the 21st century [8]. In this region, where irrigated agriculture represents over 80% of the total extracted water [9], land use shifts towards higher market-valued crops represent a major driver of change, which will markedly increase water withdrawals [10]. In the Guadalquivir basin in Spain, irrigation water requirements are expected to increase between 15% and 20% by 2050 [11]. This may cause a redistribution of water between the surface and groundwater [12]. Monitoring the variations i...

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Section: Validation Of the Pt-jpl-thermal Etsupporting

confidence: 64%

Vegetation Water Use Based on a Thermal and Optical Remote Sensing Model in the Mediterranean Region of Doñana

et al. 2018

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“…Nitrification, denitrification and respiration are major processes affecting soil greenhouse gases (i.e., CO 2 and N 2 O) emissions and soil nitrogen availability 1 2 3 4 5 6 . It has been proven that CO 2 emission from microbial respiration in soils was in excess of any other terrestrial-atmospheric carbon transactions, which is thus considered as the primary natural source for CO 2 emission 7 8 .…”

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confidence: 99%

“…Considerable studies have been launched to determine the factors that are influencing soil N 2 O emission during nitrification and denitrification processes, including soil temperature, moisture, carbon source, COD/ ratio and nitrite accumulation 25 26 27 . Therefore, identification, analysis and evaluation of the relevant processes such as microbial nitrification, denitrification and respiration in soils are desired not only for mitigating greenhouse gas (GHG) emissions, but also for reducing losses of nutrients in soils and retain effective utilization of fertilizers in agricultural sector 2 3 .…”

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confidence: 99%

Microbial nitrification, denitrification and respiration in the leached cinnamon soil of the upper basin of Miyun Reservoir

Cai

Zhang

et al. 2017

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Leached cinnamon soil is the main agricultural soil distributed in the North China Plain. In this research, leached cinnamon soil samples were collected in the upper basin of Miyun Reservoir (northeast of Beijing, China). The BaPS method (Barometric Process Separation) was applied to measure nitrification, denitrification and respiration rates. The rates of nitrification, denitrification and respiration were 0–120.35 μg N/kg SDW h, 0–246.86 μg N/kg SDW h and 0.17–225.85 μg C/kg SDW h (Soil Dry Weight, SDW), respectively. The emission rates of CO2 and NxOy through nitrification, denitrification and respiration were 1.00–547.80 and 6.00–4850.65 μmol/h, respectively. The analysis of relationships between nitrification, denitrification and respiration rates indicated that these three microbial processes were interacted, which posed impacts on soil nitrogen availability. As indicated by the results, C:N ratio coupled with content could be taken as the indicators of content, which is usually the predominant form of N available to plants growing in soil. Results showed that content was the highest (i.e., >62.4 mg/kg) when C:N ratio was 5.30–8.40, meanwhile content was 3.71–4.39 mg/kg. Nevertheless, content was the lowest (i.e., <6.40 mg/kg) when C:N ratio was 9.2–12.10, meanwhile content was 3.41–4.35 mg/kg.

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“…Cicuéndez et al [46] included soil moisture and temperature together with field spectroscopy vegetation Indices in multiple linear regression to estimate Rs in an irrigated maize crop. Temperature improved the Rs estimation through all the growing period, while including moisture did not show significant differences.…”

Section: Introductionmentioning

confidence: 99%

“…This concept has also been applied to estimating residue biomass from crops [51,52], to detect spruce bark beetle infections [53] and for non-destructive estimations of foliar carotenoid content of tree species [54] among others. In addition, Cicuéndez et al [46] have shown that SSI could also be used in Rs assessment in a maize crop.…”

Section: Introductionmentioning

confidence: 99%

First Insights on Soil Respiration Prediction across the Growth Stages of Rainfed Barley Based on Simulated MODIS and Sentinel-2 Spectral Indices

et al. 2020

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Rainfed agriculture occupies the majority of the world’s agricultural surface and is expected to increase in the near future causing serious effects on carbon cycle dynamics in the context of climate change. Carbon cycle across several temporal and spatial scales could be studied through spectral indices because they are related to vegetation structure and functioning and hence with carbon fluxes, among them soil respiration (Rs). The aim of this work was to assess Rs linked to crop phenology of a rainfed barley crop throughout two seasons based on spectral indices calculated from field spectroscopy data. The relationships between Rs, Leaf Area Index (LAI) and spectral indices were assessed by linear regression models with the adjusted coefficient of determination (Radj2). Results showed that most of the spectral indices provided better information than LAI throughout the studied period and that soil moisture and temperature were relevant variables in specific periods. During vegetative stages, indices based on the visible (VIS) region showed the best relationship with Rs. On the other hand, during reproductive stages indices containing the near infrared-shortwave infrared (NIR-SWIR) spectral region and those related to water content showed the highest relationship. The inter-annual variability found in Mediterranean regions was also observed in the estimated ratio of carbon emission to carbon fixation between years. Our results show the potential capability of spectral information to assess soil respiration linked to crop phenology across several temporal and spatial scales. These results can be used as a basis for the utilization of other remote information derived from satellites or airborne sensors to monitor crop carbon balances.

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Assessment of soil respiration patterns in an irrigated corn field based on spectral information acquired by field spectroscopy

Cited by 14 publications

References 59 publications

Vegetation Water Use Based on a Thermal and Optical Remote Sensing Model in the Mediterranean Region of Doñana

Vegetation Water Use Based on a Thermal and Optical Remote Sensing Model in the Mediterranean Region of Doñana

Microbial nitrification, denitrification and respiration in the leached cinnamon soil of the upper basin of Miyun Reservoir

First Insights on Soil Respiration Prediction across the Growth Stages of Rainfed Barley Based on Simulated MODIS and Sentinel-2 Spectral Indices

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