Croplands Quality Evaluation of Whole Tillage Layer Based on the Minimum Data Set in Jilin Province, China DOI Creative Commons
Jinyao Yan,

Kangning Xu,

Dongming Du

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(11), P. 2728 - 2728

Published: Nov. 19, 2024

The aim of this study is to accurately evaluate the quality characteristics whole tillage cropland and deepen knowledge sub-tillage soil evaluation in Jilin Province, China. In study, top-tillage samples were collected from 185 maize continuous cropping areas 12 physicochemical indexes (pH, cation exchange capacity (CEC), organic matter (SOM), total nitrogen (TN), phosphorus (TP), potassium (TK), available (AN), (AP), (AK), sand, silt, clay) used layer index (SQI). results showed that Province generally above moderate level, nutrient contents increased West East among regions. minimum data set SQI (SQI-MDS) layers 0.22–0.98 (0.46) 0.23–0.93 (0.55), respectively. suitable ranges MDS parameters for reasonable as follows: SOM ≥ 34.5 g kg−1, 31.5% ≤ sand 53.5%, AP 32.1 mg TK 15.18 kg−1; 31.3% 51.2%, TN 1.48 6.4 pH 7.1, AK 157.6 kg−1. summary, different ecological zones are varied. It necessary adjust thresholds combination with actual conditions establish a more accurate system quality.

Language: Английский

Causal Analysis Methods for Estimating the Impact of Drought and Cold Events on Crop Yields DOI
Carlos Maurício Cardeal Mendes,

Korgan Aldebert,

François Brun

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Evapotranspiration partitioning and crop water productivity under varying planting densities of maize in north China DOI Creative Commons
Zhendong Liu,

Mingliang Gao,

Fuying Liu

et al.

The Crop Journal, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0
Widespread Advances in Corn and Soybean Phenology in Response to Future Climate Change Across the United States DOI
Yanjun Yang, Bo Tao, Alex C. Ruane

et al.

Journal of Geophysical Research Biogeosciences, Journal Year: 2025, Volume and Issue: 130(4)

Published: April 1, 2025

Abstract Crop phenology regulates seasonal carbon and water fluxes between croplands the atmosphere provides essential information for monitoring predicting crop growth dynamics productivity. However, under rapid climate change more frequent extreme events, future changes in phenological shifts have not been well investigated fully considered earth system modeling regional assessments. Here, we propose an innovative approach combining remote sensing imagery machine learning (ML) with survey data to predict across US corn soybean systems. Specifically, our projected findings demonstrate distinct acceleration patterns—under RCP 4.5/RCP 8.5 scenarios, planting, silking, maturity, harvesting stages would significantly advance by 0.94/1.66, 1.13/2.45, 0.89/2.68, 1.04/2.16 days/decade during 2021–2099, respectively. Soybeans exhibit muted responses showing relatively smaller negative trends (0.59, 1.08, 0.07, 0.64 4.5 vs. 1.24, 1.53, 0.92, 1.04 8.5). These spatially explicit projections illustrate how respond change, highlighting widespread progressively earlier timing. Based on these findings, call a specific effort quantify cascading effects of yield carbon, water, energy balances and, accordingly, craft targeted adaptive strategies.

Language: Английский

Citations

0
Quantifying the Impact of Vegetation Greening on Evapotranspiration and Its Components on the Tibetan Plateau DOI Creative Commons

Peidong Han,

Hanyu Ren,

Yinghan Zhao

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(10), P. 1658 - 1658

Published: May 8, 2025

The Tibetan Plateau (TP) serves as a vital ecological safeguard and water conservation region in China. In recent decades, substantial efforts have been made to promote vegetation greening across the TP; however, these interventions added complexity local balance evapotranspiration (ET) processes. To investigate dynamics, we apply Priestley–Taylor Jet Propulsion Laboratory (PT-JPL) model simulate ET components TP. Through sensitivity experiments, isolate contribution of variations. Furthermore, analyze role climatic drivers on using suite statistical techniques. Based satellite climate data from 1982 2018, found following: (1) PT-JPL successfully captured trends over TP, revealing increasing total ET, canopy transpiration, interception loss, soil evaporation at rates 0.06, 0.39, 0.005, 0.07 mm/year, respectively. model’s performance was validated eddy covariance observations three flux tower sites, yielding R2 values 0.81–0.86 RMSEs ranging 6.31 13.20 mm/month. (2) Vegetation exerted significant enhancement with mean annual under scenarios (258.6 ± 120.9 mm) being 2.9% greater than non-greening (251.2 157.2 during 1982–2018. (3) Temperature vapor pressure deficit were dominant controls influencing 53.5% 23% region, respectively, identified consistently by both multiple linear regression factor analyses. These findings highlight net influence offer valuable guidance for management sustainable restoration region.

Language: Английский

Citations

0
The sensitivity of rice production to transplanting date and irrigation water management in a drier climate future scenario DOI

Mok Yiwen,

Zed Zulkafli, Nurfarhana Raffar

et al.

Paddy and Water Environment, Journal Year: 2025, Volume and Issue: unknown

Published: May 9, 2025

Language: Английский

Citations

0
Vegetation Restoration Enhanced Canopy Interception and Soil Evaporation but Constrained Transpiration in Hekou–Longmen Section During 2000–2018 DOI Creative Commons

Peidong Han,

Guang Yang,

Yangyang Liu

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(11), P. 2606 - 2606

Published: Nov. 5, 2024

The quantitative assessment of the impact vegetation restoration on evapotranspiration and its components is great significance in developing sustainable ecological strategies for water resources a given region. In this study, we used Priestley-Taylor Jet Pro-pulsion Laboratory (PT-JPL) to simulate ET Helong section (HLS) Yellow River basin. effects components, transpiration (Et), soil evaporation (Es), canopy interception (Ei) were separated by manipulating model variables. Our findings are as follows: (1) simulation results compared with calculated balance annual average MODIS products. R2 validation 0.61 0.78, respectively. show that PT-JPL tracks change HLS well. During 2000–2018, ET, Ei, Es increased at rate 1.33, 0.87, 2.99 mm/a, respectively, while Et decreased 2.52 mm/a. (2) Vegetation region from 331.26 mm (vegetation-unchanged scenario) 338.85 (vegetation during study period, an increase 2.3%. (3) TMP (temperature) VPD (vapor pressure deficit) dominant factors affecting changes most areas HLS. more than 37.2% HLS, dominated vapor difference (VPD) area 30.5% Overall, precipitation (PRE) main changes. Compared previous studies directly explore relationship between many influencing through correlation research methods, our uses control variables obtain under two different scenarios then performs analysis. This method can reduce excessive interference other results. provide strategic support future resource management

Language: Английский

Citations

0
Croplands Quality Evaluation of Whole Tillage Layer Based on the Minimum Data Set in Jilin Province, China DOI Creative Commons
Jinyao Yan,

Kangning Xu,

Dongming Du

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(11), P. 2728 - 2728

Published: Nov. 19, 2024

The aim of this study is to accurately evaluate the quality characteristics whole tillage cropland and deepen knowledge sub-tillage soil evaluation in Jilin Province, China. In study, top-tillage samples were collected from 185 maize continuous cropping areas 12 physicochemical indexes (pH, cation exchange capacity (CEC), organic matter (SOM), total nitrogen (TN), phosphorus (TP), potassium (TK), available (AN), (AP), (AK), sand, silt, clay) used layer index (SQI). results showed that Province generally above moderate level, nutrient contents increased West East among regions. minimum data set SQI (SQI-MDS) layers 0.22–0.98 (0.46) 0.23–0.93 (0.55), respectively. suitable ranges MDS parameters for reasonable as follows: SOM ≥ 34.5 g kg−1, 31.5% ≤ sand 53.5%, AP 32.1 mg TK 15.18 kg−1; 31.3% 51.2%, TN 1.48 6.4 pH 7.1, AK 157.6 kg−1. summary, different ecological zones are varied. It necessary adjust thresholds combination with actual conditions establish a more accurate system quality.

Language: Английский

Citations

0