Diagnostic study of nitrogen nutrition in cotton based on unmanned aerial vehicle RGB images DOI Creative Commons
Lu Wang,

Qiushuang Yao,

Ze Zhang

et al.

Notulae Botanicae Horti Agrobotanici Cluj-Napoca, Journal Year: 2024, Volume and Issue: 52(2), P. 13728 - 13728

Published: May 21, 2024

Nitrogen fertilizer levels significantly affect crop growth and development, necessitating precision management. Most studies focus on nitrogen nutrient estimation using vegetation indices textural features, overlooking the diagnostic potential of color features. Hence, we investigated cotton nutrition status unmanned aerial vehicle (UAV) image features index (NNI). Random frog algorithm - random forest-screened feature sets correlated with NNI, which were substituted into four machine learning algorithms for NNI modeling. The composite scores (F) optimal calculated coefficient variation method comprehensive diagnosis. Validation model determining critical concentration in yielded a determination R2 = 0.89, root mean square error RMSE 0.50 g (100 g)-1, absolute MAE 0.44, demonstrating improved performance. Additionally, our novel constructed based exhibited R2c 0.97, RMSEc 0.02, MAEc R2v 0.85, RMSEv 0.05, MAEv 0.04. Polynomial fitting indicated that was reliable following criterion: 0.48 < F2 0.67 overapplication, whereas or > deficiency. This study demonstrates superior effectiveness UAV RGB quick, accurate diagnosis levels, will help guide application.

Language: Английский

Impact of water supply on the restoration of the severely damaged riparian plants along the Tarim River in Xinjiang, Northwest China DOI Creative Commons
Jian Song, Florian Betz, Tayierjiang Aishan

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 158, P. 111570 - 111570

Published: Jan. 1, 2024

Restoring degraded ecosystems in drylands is challenging because of low precipitation and high evapotranspiration. Water availability determines the existence spatiotemporal distribution patterns key endangered species struggling to survive severely damaged desert riparian ecosystem lower Tarim River (LTR) NW China. Ecological water flow restoration measures with costs uncertainties have been implemented since 2000. The task for scientists assess success drawbacks this project propose specific recommendations stakeholders optimize ecological benefits a cost-effective manner. In study, Landsat time-series data from 1990 2020 were used extract vegetation index values river corridors along LTR explore forest (DRF) vegetation. Based on land use surface data, we extracted interannual spatial range water, selected several sample plots demonstrate influence groundwater change trends. study results showed following. 1) From 1999, slowly degraded; 2000 2012, extent was approximately 1 km river; 2013 2020, at Yingsu Karday sections increased 4.5–6.0 km, while that Arghan Yiganbujima remained within river. 2) growth rate substantially spatially heterogeneous when level reached 4.0–5.0 m influenced by divergence; average expansion rates per square P1–P4 0.017 km2/a, 0.011 0.005 0.002 respectively. 3) Flooding main driver stable elevations area often accompanied spreading water. Surface significantly correlated cover normalized difference (NDVI) (Water pixels–Vegetation [P1: R2 = 0.57, P < 0.001; P2: 0.45, 0.01]; pixels–NDVI 0.22, 0.05; 0.40, 0.01]). increase has alleviated desertification process LTR, survival poplar mitigated. paper can help decision makers formulate reasonable conveyance strategies realize sustainable management DRF arid zones.

Language: Английский

Citations

19

Evaluation and regulation strategy for ecological security in the Tarim River Basin based on the ecological footprint DOI
Jingjing Zhang, Xingming Hao, Xuewei Li

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 435, P. 140488 - 140488

Published: Jan. 1, 2024

Language: Английский

Citations

17

Irrigation depth and nitrogen rate effects on seed cotton yield, fiber quality and water-nitrogen utilization efficiency in southern Xinjiang, China DOI Creative Commons
Zhentao Bai,

Wenqiang Bai,

Cong Xie

et al.

Agricultural Water Management, Journal Year: 2023, Volume and Issue: 290, P. 108583 - 108583

Published: Nov. 10, 2023

Seed cotton yield and fiber quality are two primary factors that influence the international competitiveness of cotton. To enhance water-nitrogen utilization efficiency promote sustainable production, field experiments were performed in 2020 2021 to explore effects irrigation depth nitrogen (N) fertilization rate on N uptake distribution, seed yield, traits Korla region southern Xinjiang, China. Three depths (W1: 60% ETc, W2: 80% W3: 100% ETc; ETc was crop water consumption) four rates (N0: 0 kg ha−1, N200: 200 N300: 300 N400: 400 ha−1) applied. The results showed significantly influenced distribution plant organs, productivity (WP), partial factor (PFPN) some traits. Increasing improved height, leaf area index, aboveground dry matter while increasing increased then declined these indicators. At squaring flowering stages, accumulation all parts as increased, whereas it with at boll-setting harvesting stages. mainly accumulated leaves. As growth period progressed, transported bolls proportion content leaves decreased. largest organs followed order boll > stem root. PFPN but WP decreased declined. increases quality. maximum (7578 ha−1 7173 2021) greater WP, occurred W3N300, which recommended a production strategy Xinjiang elsewhere similar environments improve efficiency, alleviate soil nitrate pollution risk.

Language: Английский

Citations

26

Biochar application reduced carbon footprint of maize production in the saline−alkali soils DOI
Sheng Zhang, Lihua Xue, Ji Liu

et al.

Agriculture Ecosystems & Environment, Journal Year: 2024, Volume and Issue: 368, P. 109001 - 109001

Published: April 2, 2024

Language: Английский

Citations

9

Water‐Energy‐Carbon Nexus Within the Urban Eco‐Transformation of the Beijing‐Tianjin‐Hebei Region DOI Open Access
Yifei Wang, Ze Han, Xiangzheng Deng

et al.

Expert Systems, Journal Year: 2025, Volume and Issue: 42(4)

Published: Feb. 23, 2025

ABSTRACT Driven by rapid urbanisation, the Beijing‐Tianjin‐Hebei region (BTH) has experienced a dramatic increase in resource consumption and environmental strain. Investigating relationships among water, energy carbon can help balance efficient utilisation, conservation economic growth, while promoting sustainable urban development. This study develops an analytical framework for water‐energy‐carbon nexus within eco‐transformation. Specifically, this first illustrates conceptual model interaction water use, emissions theoretically, then examines dynamics urbanisation ecological transition of BTH region. Furthermore, empirical analysis was conducted taking Beijing city as case area to explore its decoupling with socio‐economic Results show significantly increased population scale, exerting substantial pressure on resources, supply environment. The reveals significant positive between consumption, electricity Beijing, inverted U‐shaped parabolic relationship GDP population. is expected decouple growth from after 2030 2037, reducing sustaining growth. To achieve development, it recommended that accelerate industrial transformation, enhance efficiency, develop clean improve power system efficiency. paper provides theoretical foundation practical insights decision‐making facilitates

Language: Английский

Citations

1

Impact of water utilization changes on the water-land-energy-carbon nexus in watersheds: A case study of Yellow River Basin, China DOI

Yingjie Feng,

Jingya Wang, Xinyu Ren

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 443, P. 141148 - 141148

Published: Feb. 6, 2024

Language: Английский

Citations

8

Managing the water-agriculture-environment-energy nexus: Trade-offs and synergies in an arid area of Northwest China DOI Creative Commons
Xiaoyu Tang, Yue Huang, Xiaohui Pan

et al.

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 295, P. 108776 - 108776

Published: March 21, 2024

Water is a stabilizer for production and life in the arid areas. According to research shared by Pacific Institute The Guardian, there were 228 incidents of water conflict globally 2022. Therefore, comprehensive measures are necessary achieve regional security. This objective can be achieved application interdisciplinary professional approaches through establishing dynamic equilibrium different consumers, trade-offs synergies allocation between them. A multi-objective optimization model proposed managing water-agriculture-energy-environment (WAEE) nexus water-scarce Real integer-encoded evolutionary algorithms (EMCMO) applied solving management models. Multiple objectives, such as maximization economic benefits from agriculture hydropower generation, minimization ecological shortages local plants, environmental risks influenced land use food supply, defined model. was Yanqi Basin, an important energy producer Xinjiang province, Northwest China. results indicated that (1) four-dimensional Pareto solution set has advantage presenting WAEE nexus, highlighting high-value crops, surface water, groundwater, demand, generation total nitrogen phosphorus loading (TNP); (2) An excessive increase agricultural economy will TNP non-point source pollution; (3) Optimization WAFE ecosystem restoration. wet year, reduced 0.20%, 13.19% while increasing 58.33%, 3.98%; normal 6.62%, 46.43%, 0.79%; dry 17.19%, 9.72%, 16.18% 42.86%. also apply other similar

Language: Английский

Citations

8

Coupling coordination analysis of the water-food-energy‑carbon nexus for crop production in Central Asia DOI
Yanan Hu, Weili Duan, Shan Zou

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 369, P. 123584 - 123584

Published: June 7, 2024

Language: Английский

Citations

8

One–third substitution of nitrogen with cow manure or biochar greatly reduced N2O emission and carbon footprint in saline–alkali soils DOI
Sheng Zhang, Lihua Xue, Ji Liu

et al.

Field Crops Research, Journal Year: 2024, Volume and Issue: 316, P. 109517 - 109517

Published: July 27, 2024

Language: Английский

Citations

8

An integrated water resources management model considering carbon source and sink under uncertainty: A case study of agricultural water-dominated basin DOI
Lin Li, Qiting Zuo, Enhui Jiang

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 436, P. 140667 - 140667

Published: Jan. 1, 2024

Language: Английский

Citations

4