Potential of constructing all‐encompassing soil–plant‐atmosphere‐continuum stations and datasets from meteorological, flux, soil moisture station networks and plant‐relevant observations DOI Creative Commons
Haiyang Shi

Hydrological Processes, Journal Year: 2024, Volume and Issue: 38(10)

Published: Oct. 1, 2024

Abstract The establishment of SPAC (soil–plant‐atmosphere continuum) stations is essential for comprehensive monitoring land‐atmosphere interactions and ecological hydrological processes. This paper addresses the critical limitations existing observation networks, which often rely on single‐aspect observations, resulting in insufficient data a holistic understanding dynamics. Specifically, provide multi‐variable observations that enhance process‐based model calibration physical constraints improve empirical basis data‐driven models. Advanced technologies such as machine learning remote sensing are proposed to transform current weather soil moisture into quasi‐SPAC sites capable estimating carbon water flux data. Additionally, strategic placement new regions projected be sensitive future climate change risks, indicated by models CMIP6, recommended. Furthermore, promoting observational systems like Europe's Integrated Carbon Observation System (ICOS) other regions, establishing unified management framework coordinating upgrading global networks steps. Ultimately, enhancements will advance studies, providing more integrated accurate system its responses variability.

Language: Английский

Multivariate Controls of Water–Carbon Coupling Relationship Under Various Land Use Types in the Thick Loess Deposits DOI Open Access
Ruifeng Li,

Xuanhua Zhang,

Wangjia Ji

et al.

Land Degradation and Development, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 29, 2025

ABSTRACT Prior studies have conducted extensive investigations of the water–carbon coupling relationship for aboveground vegetation and shallow soils, but characteristics multivariate controls in deep soils not been fully explored. This has important implications better understanding water carbon cycles ecosystems. In this study, we attempted to examine 18 m profiles under farmland (F), grassland (G), willow (SP), poplar (P) China's Loess Plateau. Specially, at diverse depths scales were explored via wavelet analysis. Individually, conversion from F G, SP, P decreased soil storage within 0–15 by 553 (22% F), 557 (22%), 943 mm (38%). Land use change had little impact on organic or inorganic carbon. Even so, poplar, compared with willow, resulted higher vertical variations Furthermore, land increased coherence between whole layer. comparison F, which was dominated retention, exhibited dominant sequestration. The reduced root‐mean‐square deviation 0.29 (F) 0.13 6‐ 15‐m layer 0.32 0.20 0‐ 2‐m Sand content electrical conductivity both played negative roles maintaining layers different scales, respectively. study endeavors present a novel viewpoint management, potential enhance ecosystem services water‐limited land‐degradation regions.

Language: Английский

Citations

0
Remotely Sensed High‐Resolution Soil Moisture and Evapotranspiration: Bridging the Gap Between Science and Society DOI Creative Commons
Jingyi Huang, Vinit Sehgal, L. V. Alvarez

et al.

Water Resources Research, Journal Year: 2025, Volume and Issue: 61(5)

Published: May 1, 2025

Abstract This paper reviews the current state of high‐resolution remotely sensed soil moisture (SM) and evapotranspiration (ET) products modeling, coupling relationship between SM ET. downscaling approaches for satellite passive microwave leverage advances in artificial intelligence remote sensing using visible, near‐infrared, thermal‐infrared, synthetic aperture radar sensors. Remotely ET continues to advance spatiotemporal resolutions from MODIS ECOSTRESS Hydrosat beyond. These enable a new understanding bio‐geo‐physical controls coupled feedback mechanisms reflecting land cover use at field scale (3–30 m, daily). Still, state‐of‐the‐science have their challenges limitations, which we detail across data, retrieval algorithms, applications. We describe roles these data advancing 10 application areas: drought assessment, food security, precision agriculture, salinization, wildfire dust monitoring, flood forecasting, urban water, energy, ecosystem management, ecohydrology, biodiversity conservation. discuss that future scientific advancement should focus on developing open‐access, m), sub‐daily products, enabling evaluation hydrological processes finer scales revolutionizing societal applications data‐limited regions world, especially Global South socio‐economic development.

Language: Английский

Citations

0
Downscaling multilayer soil moisture using parameterized depth profiles associated with environmental factors DOI

Mo Zhang,

Yong Ge, Yuxin Ma

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133544 - 133544

Published: May 1, 2025

Language: Английский

Citations

0
Rootzone Soil Moisture Dynamics Using Terrestrial Water‐Energy Coupling DOI Creative Commons
Vinit Sehgal, Binayak P. Mohanty, Rolf H. Reichle

et al.

Geophysical Research Letters, Journal Year: 2024, Volume and Issue: 51(19)

Published: Sept. 28, 2024

Abstract A lack of high‐density rootzone soil moisture ( θ RZ ) observations limits the estimation continental‐scale, space‐time contiguous dynamics. We derive a proxy daily dynamics — active degree saturation S by recursive low‐pass (LP) filtering surface within terrestrial water‐energy coupling (WEC) framework. estimate LP filter parameters and WEC thresholds for piecewise‐linear between evaporative fraction (EF) at remote sensing field scale over Contiguous U.S. use from Soil Moisture Active‐Passive (SMAP) satellite 218 in‐situ stations, with EF Moderate Resolution Imaging Spectroradiometer. The estimated compares well against SMAP Level‐4 estimates , corresponding scale. instantaneous hydrologic state vis‐à‐vis is proposed as stress index (SMS near‐real‐time operational agricultural drought monitoring agrees established metrics.

Language: Английский

Citations

2
Potential of constructing all‐encompassing soil–plant‐atmosphere‐continuum stations and datasets from meteorological, flux, soil moisture station networks and plant‐relevant observations DOI Creative Commons
Haiyang Shi

Hydrological Processes, Journal Year: 2024, Volume and Issue: 38(10)

Published: Oct. 1, 2024

Abstract The establishment of SPAC (soil–plant‐atmosphere continuum) stations is essential for comprehensive monitoring land‐atmosphere interactions and ecological hydrological processes. This paper addresses the critical limitations existing observation networks, which often rely on single‐aspect observations, resulting in insufficient data a holistic understanding dynamics. Specifically, provide multi‐variable observations that enhance process‐based model calibration physical constraints improve empirical basis data‐driven models. Advanced technologies such as machine learning remote sensing are proposed to transform current weather soil moisture into quasi‐SPAC sites capable estimating carbon water flux data. Additionally, strategic placement new regions projected be sensitive future climate change risks, indicated by models CMIP6, recommended. Furthermore, promoting observational systems like Europe's Integrated Carbon Observation System (ICOS) other regions, establishing unified management framework coordinating upgrading global networks steps. Ultimately, enhancements will advance studies, providing more integrated accurate system its responses variability.

Language: Английский

Citations

0