Comment on egusphere-2024-118 DOI Creative Commons

Published: March 21, 2024

Abstract. The soil water storage (SWS) defines crop productivity of a and varies under differing climatic conditions. Pattern identification quantification these variations remains difficult due to the non-linear behaviour SWS changes over time. We hypothesize that patterns can be revealed by applying wavelet analysis an eight-year time series SWS, precipitation (P) actual evapotranspiration (ETa) in similar soils lysimeters colder drier location warmer wetter within Germany. Correlations between P ETa at sites might reveal influence altered conditions but also from subsequent wet dry years on changes. found exerted leading faster or slower response times respect normal years. Extreme events were visible spectra. Time shifts correlations became smaller site comparison cooler where they stayed constant. This could attributed earlier onset vegetation period thus peak every year reflects direct impact changing climate budget parameters. Long-term observations (>30 years) for climate. Analysis capacity provide information how different affect long-term soils.

Language: Английский

Spatiotemporal variations of water conservation and its influencing factors in the Qinghai Plateau, China DOI Creative Commons
Xin Yan,

Guangchao Cao,

Shengkui Cao

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 155, P. 111047 - 111047

Published: Oct. 7, 2023

Language: Английский

Citations

16
Effects of vegetation distribution and landscape pattern on water conservation in the Dongjiang River basin DOI Creative Commons

Leting Lyu,

Siqi Bi,

Yong Yang

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 155, P. 111017 - 111017

Published: Oct. 6, 2023

Water conservation is important for maintaining a well-functioning ecosystem. Using the Soil & Assessment Tool (SWAT) model, we simulated hydrological cycle and evaluated spatial temporal variability of water in Dongjiang River. Spatial autocorrelation analysis geographically weighted regression (GWR) were used to investigate effects landscape patterns normalized difference vegetation index (NDVI) on conservation. Four stations with regular rate, validation period deterministic coefficient R2, efficiency ENS (Nash–Sutcliffe) met adaptation requirements, model accurately process The interannual variation showed non-significant upward trend (0.12 mm/10a), distribution given as follows: midstream > downstream upstream. Regression coefficients NDVI high, medium, low-density forest land sub-basin decreased from upper lower reaches. negative correlation LPI, CONTAG, IJI was concentrated reaches southeast basin, that SHDI middle reaches; LPI PLAND north south, ED southwest northeast. positive grassland watershed's construction an increasingly This study provides scientific support promoting ecosystem comprehensive utilization resources River basin.

Language: Английский

Citations

13
Dynamic monitoring and drivers of ecological environmental quality in the Three-North region, China: Insights based on remote sensing ecological index DOI Creative Commons

Leyi Zhang,

Li Xia, Xiuhua Liu

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: unknown, P. 102936 - 102936

Published: Dec. 1, 2024

Language: Английский

Citations

5
Evaluating the soil hydraulic functions of vegetation restoration in a subtropical hilly catchment: Insights from continuous soil moisture monitoring DOI

Jiapan Xu,

Muxing Liu, Jun Yi

et al.

Journal of Hydrology, Journal Year: 2023, Volume and Issue: 629, P. 130578 - 130578

Published: Dec. 8, 2023

Language: Английский

Citations

12
Scrub-vegetation cover impact on soil water migration and temperature change during freeze–thaw events in sandy desert soils of northwest China DOI
Shuai He, Chengfu Zhang, Fan‐Rui Meng

et al.

CATENA, Journal Year: 2024, Volume and Issue: 237, P. 107828 - 107828

Published: Jan. 21, 2024

Language: Английский

Citations

4
Temporal-spatial evolution and driving mechanism of ecosystem service in coal-based towns in loess region, China DOI Creative Commons
Shufei Wang, Yingui Cao, Shengpeng Li

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 160, P. 111805 - 111805

Published: March 1, 2024

The game between socio-economic development and ecological has always been the core issue in coal-based areas, ecosystem services could unify two into one framework. However, at present, related research made slow progress structure optimization regional sustainable development. Pinglu, as a representative area of China's Reform Opening Up first Sino-foreign joint venture open-pit coal mine, fragile characteristics resource attributes that are typical home abroad. Therefore, this study took town an example analyzed service situation with its driving mechanism relied on ArcGIS, InVEST Geodetector tools to solve contradiction protection such areas. results revealed that: (1) overall supply capacity each Pinglu during 40-year period showed improving trend, but there was also deterioration habitat quality carbon sequestration services; (2) provisioning needed be improved comprehensively, key areas for upgrading improvement were southwestern townships; (3) force food soil conservation changed from mainly environmental environmental, water production, wind-sand socio-economic, land-use type complete factor sequestration. (4) successively experienced slow-growth period, rapid-growth rapid-decline stable-development accordingly formed labor-intensive economy, resource-intensive structural-adjustment economy high-quality oriented economy. their mechanisms towns provide strategies green regions. And make up shortcomings national civilization construction resource-based

Language: Английский

Citations

4
Effects of different climatic conditions on soil water storage patterns DOI Creative Commons
Annelie Ehrhardt, Jannis Groh, Horst H. Gerke

et al.

Hydrology and earth system sciences, Journal Year: 2025, Volume and Issue: 29(1), P. 313 - 334

Published: Jan. 17, 2025

Abstract. The soil water storage (SWS) defines the crop productivity of a and varies under different climatic conditions. Pattern identification quantification these variations in SWS remain difficult due to non-linear behaviour changes over time. Wavelet analysis (WA) provides tool efficiently visualize quantify patterns by transferring time series from domain into frequency domain. We applied WA an 8-year SWS, precipitation (P), actual evapotranspiration (ETa) similar soils lysimeters colder drier location warmer wetter within Germany. Correlations between P, ETa at sites might reveal influence altered conditions but also subsequent wet dry years on changes. found that exerted leading faster or slower response times relation with respect normal years. observed disruption annual wavelet spectra both was possibly caused extreme events. Extreme events were visible P spectra. Time shifts correlations became smaller site comparison cooler site, where they stayed constant. This could be attributed earlier onset vegetation period and, thus, peak every year. reflects impact budget parameters.

Language: Английский

Citations

0
Multiple temporal scale variation characteristics and driving factors of arid inland runoff: A case study of Urumqi River, China DOI Creative Commons
Kun Liu, Yunfei Chen, Bin Wu

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 58, P. 102298 - 102298

Published: March 5, 2025

Language: Английский

Citations

0
Geospatial Insights into Aridity Conditions: MODIS Products and GIS Modeling in Northeast Brazil DOI Creative Commons
Jhon Lennon Bezerra da Silva, Marcos Vinícius da Silva, Alexandre Maniçoba da Rosa Ferraz Jardim

et al.

Hydrology, Journal Year: 2024, Volume and Issue: 11(3), P. 32 - 32

Published: Feb. 26, 2024

Northeast Brazil (NEB), particularly its semiarid region, represents an area highly susceptible to the impacts of climate change, including severe droughts, and intense anthropogenic activities. These stresses may be accelerating environmental degradation desertification soil in NEB. The main aim this study was gain geospatial insights into biophysical parameters surface energy balance actual evapotranspiration on a multi-temporal scale, aiming detect analyze spectral behavioral patterns areas vulnerable processes, based thematic maps at surface, for NEB mainly region from 2000 2019. Geospatial data 8-day MODIS sensor products were used, such as reflectance (Terra/MOD09A1 Aqua/MYD09A1), temperature (Terra/MOD11A2 Aqua/MYD11A2), (Terra/MOD16A2 Aqua/MYD16A2), version 6. Therefore, study, pixel-to-pixel values processed by calculating average pixel statistics each year. From product, digital processing albedo vegetation indices also carried out, using computational programming scripts machine learning algorithms developed via Google Earth Engine (GEE) platform. presents seasonal analysis these components their relationships over 20 years. Through statistical correlations, new predictive model developed. quantitative spatiotemporal assessed through descriptive statistics, measures central tendency dispersion, error analyses correlation indices. Thematic highlighted results, with high distribution northeastern part NEB, highlighting formation persistent heat islands time. Meanwhile, areas, showed drastic reduction due lesser availability energy. Over time, presented little and/or no cover, which well-defined between years 2012 2019, confirming that are extremely processes significant loss vegetative water resilience. interconnected climatological conditions, showing results drought accentuation deficit presenting greater condition aridity

Language: Английский

Citations

3
Enhancing water use efficiency: Insights from hydrological variability encounter of multiple water sources and implications for terminal Lake management in arid regions DOI
Kun Liu, Yunfei Chen, Bin Wu

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 175, P. 113564 - 113564

Published: May 8, 2025

Language: Английский

Citations

0