WUE and CO2 Estimations by Eddy Covariance and Remote Sensing in Different Tropical Biomes

Costa, Gabriel Brito; Silva, Cláudio Moisés Santos e; Mendes, Keila Rêgo; Santos, J. C.; Neves, Theomar T. A. T.; Silva, Alex S.; Rodrigues, Thiago Rangel; Silva, Jonh Billy da; Dalmagro, Higo J.; Mutti, Pedro Rodrigues; Nunes, Hildo Giuseppe Garcia Caldas; Peres, Lucas Vaz; Santana, Raoni Aquino Silva de; Viana, Losany Branches; Almeida, Gabriele; Bezerra, Bergson Guedes; Marques, Thiago Valentim; Ferreira, Rosária R.; Oliveira, Cristiano Prestrelo de; Gonçalves, Weber Andrade; Campos, Suany; Andrade, Maria Uilhiana Gomes

doi:10.3390/rs14143241

Cited by 20 publications

(5 citation statements)

References 71 publications

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“…This is particularly evident in WUE studies at different scales [23], which makes it difficult to compare the results of different studies. The accuracy of MODIS GPP and ET products has been verified by numerous studies [71]. However, there is uncertainty in WUE retrieval due to the effect of the observational means and relatively coarse spatial resolution.…”

Section: Validity Limitations and Future Workmentioning

confidence: 85%

Quantifying the Spatio-Temporal Variations and Impacts of Factors on Vegetation Water Use Efficiency Using STL Decomposition and Geodetector Method

Wang

Zhao

et al. 2022

Remote Sensing

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Water use efficiency of vegetation (WUE), the ratio of carbon gain to water loss, is a valid indicator to describe the photosynthetic carbon–water coupling relationship. Understanding how and why WUE changes are essential for regional ecological conservation. However, the impacts of various factors and their interactions on the spatial variation of WUE remain uncertain in the arid land of Northwest China. Here, we selected the Qilian Mountains (QM) and Hexi Corridor (HC) as the study areas. Supported by the Google Earth Engine, we explored the spatio-temporal variations of WUE in QM and HC for 2002–2021 using STL decomposition (a seasonal-trend decomposition procedure), trend analysis, and the Hurst index. Then, the Geodetector method was applied to quantify impacts of geographical and eco-meteorological factors on the spatial variation of WUE. The WUE in HC was higher than that in QM. Interestingly, the opposite longitude zonality characteristics are shown in the QM and HC. In QM, the WUE showed an upward trend with longitude increasing, while a downward trend with longitude increasing in the oases of HC. The WUE of cropland was the highest (1.15 ± 0.35 gC kg−1 H2O), and that of alpine vegetation was the lowest (0.2 ± 0.15 gC kg−1 H2O). WUE showed a decreasing trend across the study area, almost certainly due to a drop from May to July during 2002–2021. The air temperature is the dominant factor influencing the spatial variation of WUE. In addition, the interaction of any two factors is greater than the independent influence of either factor alone. The Geodetector method proved to be effective for quantifying the impact of complex multi-factors on the spatial variation of WUE. This study provides a new technical scheme to analyze the spatio-temporal pattern and quantify the impact of multi-factors on the spatial variation of WUE. These findings aid in understanding underlying mechanisms of WUE variation and thereby will be beneficial for clarifying the response of vegetation to climate change.

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Section: Validity Limitations and Future Workmentioning

confidence: 85%

Quantifying the Spatio-Temporal Variations and Impacts of Factors on Vegetation Water Use Efficiency Using STL Decomposition and Geodetector Method

Wang

Zhao

et al. 2022

Remote Sensing

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“…The existing knowledge of CO 2 fluxes between the vegetation and the atmosphere in Brazil are restricted to terrestrial biomes. A recent study reported the seasonal behavior of the gross primary production (GPP) -a variable directly related to the fluxes -in four terrestrial biomes: Pantanal, Amazonia, Caatinga and Cerrado (Costa et al, 2022). Analyzing data from one particular location in each biome in distinct periods ranging from 2004 to 2016, the authors described how the seasonal cycle of meteorological variables such as the global incident radiation, air temperature and water vapor deficit, as well as precipitation were the key modulating factors of seasonality in GPP for all biomes.…”

Section: Discussionmentioning

confidence: 99%

Blue Carbon: Beyond the Inventory

2024

Frontiers Research Topics

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Frontiers is more than just an open access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers journal seriesThe Frontiers journal series is a multi-tier and interdisciplinary set of openaccess, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers journal series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to qualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation. What are Frontiers Research Topics?Frontiers Research Topics are very popular trademarks of the Frontiers journals series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area.

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“…In addition, typical shrubs (sea buckthorn, caragana, etc.) have small leaves and low chlorophyll content, so the remote sensing signal cannot truly reflect the vegetation coverage of low shrubs, and GPP remote sensing products have a certain degree of underestimation [37,38]. This is also one of the reasons for the lower eWUE of shrubs.…”

Section: Seasonal Variation Characteristics Of Ewuementioning

confidence: 99%

Seasonal Variations of Ecosystem Water Use Efficiency and Their Responses to Climate Factors in Inner Mongolia of China

Wang

et al. 2022

Atmosphere

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Ecosystem water use efficiency (eWUE) is a useful metric to examine the interactions between water and carbon cycles in ecosystems. To reveal the response and adaptation characteristics of different vegetation types within the context of global warming on a regional scale, the spatiotemporal characteristics and influencing factors of the seasonal eWUE of various vegetation types in Inner Mongolia from 2001 to 2020 were explored. Based on MODIS gross primary productivity (GPP), evapotranspiration (ET) data and meteorological data, in this study, we estimated eWUE in different seasons in Inner Mongolia and used trend analysis and correlation analysis methods to analyze the relationship between eWUE in spring, summer and autumn and the temperature–precipitation. From 2001 to 2020, in this region, the GPP and ET in spring, summer and autumn showed increasing trends. In addition, the growth rates of GPP and ET in spring and summer were higher than those in autumn. Under the combined effect of GPP and ET, eWUE in different seasons showed a significant decreasing trend (p < 0.05)—this is ascribed to the extent of ET increasing more than GPP, especially in summer, with the most obvious decreasing rate. In terms of spatial trend, in spring and summer, there is a decreasing trend from northeast to southwest. The effects of precipitation and temperature on the eWUE in Inner Mongolia were mainly negatively correlated in the northeastern part of Inner Mongolia with higher altitudes during the spring and autumn seasons. In total, 95.096% of the total area had positive correlations between eWUE and temperature in spring. In summer, the region in which the WUE of the vegetation had an inverse relationship with both the temperature and the amount of precipitation was the largest compared to these regions in spring and autumn.

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WUE and CO2 Estimations by Eddy Covariance and Remote Sensing in Different Tropical Biomes

Cited by 20 publications

References 71 publications

Quantifying the Spatio-Temporal Variations and Impacts of Factors on Vegetation Water Use Efficiency Using STL Decomposition and Geodetector Method

Quantifying the Spatio-Temporal Variations and Impacts of Factors on Vegetation Water Use Efficiency Using STL Decomposition and Geodetector Method

Blue Carbon: Beyond the Inventory

Seasonal Variations of Ecosystem Water Use Efficiency and Their Responses to Climate Factors in Inner Mongolia of China

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