MECHANIZATION OF GRASSLAND FARMING BY TECHNOLOGICAL VARIANTS WITH MINIMAL INPUTS. A REVIEW

INMATEH Agricultural Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 954 - 970

Published: Jan. 27, 2025

Grassland farming plays a vital role in sustainable agricultural systems, providing forage resources for livestock production and contributing to environmental conservation. However, the labor-intensive nature of grassland management requires significant challenges farmers. The adoption appropriate mechanization technologies can improve efficiency, reduce labor requirements, enhance overall productivity. This paper investigates through technological variants with minimal inputs. incorporation sensor data analytics facilitates real-time monitoring grass growth, enabling farmers make decisions regarding grazing rotations quality. Additionally, utilization smart sensors soil moisture nutrient content allows targeted application inputs, reducing waste optimizing resource utilization. Overall, this article highlights potential inputs efficient farming, improving productivity, sustainability livelihoods

Language: Английский

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Identification of degradation risk areas and delineation of key ecological function areas in Qinling region

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 5, 2025

As a critical component of the geographical divide between northern and southern regions China, ecological stability Qinling region has profound implications for balance within China across East Asia. However, degradation risk areas remain unclear, there are gaps in delineation key protection areas. This study examines improvement decline from 2000 to 2023 terms ecosystem patterns, quality, functions. Moreover, function zones were identified, future development paths proposed region. The findings indicate that: (1) Urban area expansion was most rapid, increasing by about 1800 km², with an average yearly growth rate 2.43%. Ecosystem quality increased 48.07% primarily located Sanjiangyuan, Minshan-Qinghai-Tibet Plateau, Loess Plateau Shaanxi, Henan, Gansu. core water soil conservation only accounted 17.92% 10.47%, respectively, mainly distributed Qinling-Daba Mountains. Based on functions, restoration projects, been divided into two majority categories 16 subcategories: 7 ecologically functional 9 offers recommendations formulating policies, thereby promoting sustainable region's ecology economy.

Language: Английский

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Time-Lag of Seasonal Effects of Extreme Climate Events on Grassland Productivity Across an Altitudinal Gradient in Tajikistan

Plants, Journal Year: 2025, Volume and Issue: 14(8), P. 1266 - 1266

Published: April 21, 2025

Mountain grassland ecosystems around the globe are highly sensitive to seasonal extreme climate events, which thus highlights critical importance of understanding how such events have affected vegetation dynamics over recent decades. However, research on time-lag effects has been sparse. This study focuses Tajikistan, is characterized by a typical alpine meadow–steppe ecosystem, as area. The net primary productivity (NPP) values Tajikistan’s grasslands from 2001 2022 were estimated using Carnegie–Ames–Stanford Approach (CASA) model. In addition, 20 indices (including 11 temperature and 9 precipitation indices) calculated. spatiotemporal distribution characteristics NPP these further analyzed. Using geographic detector methods, impact factors identified along gradient different altitudinal bands in Tajikistan. Additionally, analysis was conducted reveal lag time across elevation levels. results revealed that Tajikistan exhibited slight upward trend 0.01 gC/(m2·a) 2022. During this period, generally showed an increasing trend, while displayed declining trend. Notably, had significant NPP, with interaction between Precipitation anomaly (PA) Max Tmax (TXx) exerting most pronounced influence spatial variation (q = 0.53). it found effect no at altitudes below 500 m. contrast, mid-altitude regions (1000–3000 m), PA two months (p < 0.05). Knowing times until will appear provides valuable insight for those developing adaptive management restoration strategies under current conditions.

Language: Английский

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Coupling dynamics of vegetation ecology and meteorological drought in karst mountain areas: A case study of Guizhou, China

Journal of Mountain Science, Journal Year: 2025, Volume and Issue: 22(4), P. 1359 - 1375

Published: April 1, 2025

Language: Английский

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The Impact of Seasonal Climate on Dryland Vegetation NPP: The Mediating Role of Phenology

Sustainability, Journal Year: 2024, Volume and Issue: 16(22), P. 9835 - 9835

Published: Nov. 11, 2024

Dryland ecosystems are highly sensitive to climate change, making vegetation monitoring crucial for understanding ecological dynamics in these regions. In recent years, combined with large-scale restoration efforts, has led significant greening China’s arid areas. However, the mechanisms through which seasonal variations regulate growth not yet fully understood. This study hypothesizes that change affects net primary productivity (NPP) of by influencing phenology. We focused on Windbreak and Sand-Fixation Ecological Function Conservation Areas (WSEFCAs) as representative regions dryland vegetation. The Carnegie–Ames–Stanford Approach (CASA) model was used estimate NPP from 2000 2020. To extract phenological information, NDVI data were processed using Savitzky–Golay (S–G) filtering threshold methods determine start season (SOS) end (EOS). structural equation (SEM) constructed quantitatively assess contributions (temperature precipitation) phenology NPP, identifying pathways influence. results indicate average annual WSEFCAs increased 55.55 gC/(m2·a) 75.01 gC/(m2·a), exhibiting uneven spatial distribution. more complex uneven. Summer precipitation directly promoted (direct effect = 0.243, p < 0.001) while also indirectly enhancing significantly advancing SOS (0.433, delaying EOS (−0.271, 0.001), an indirect 0.133. finding highlights critical role growth, particularly substantial fluctuations. Although overall environment improved, regional disparities remain, especially northwestern China. introduces causal mediation analysis systematically explore impacts WSEFCAs, providing new insights into broader implications offering scientific support management strategies

Language: Английский

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Characteristics of the evolution of vegetation NPP in Nanchang and spatial and temporal driver analyses

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: July 19, 2024

In order to determine the evolution characteristics of net primary productivity vegetation in Nanchang City and main driving factors influencing its spatiotemporal evolution, based on ArcGIS Matlab platforms, ReliefF, Random Forest (RF),BP neural network, GRNN machine learning algorithm geographic detector were used quantitatively evaluate from 1998 2015.The results show: 1) From a temporal perspective, NPP overall shows fluctuating upward trend with distinct seasonal variations; spatially, it follows distribution pattern higher values middle lower around edges; 2) The ReliefF has highest fitting accuracy is more suitable for regression analysis NPP, both algorithms indicating that air temperature precipitation have most significant impact evolution; 3) According detector, significantly influenced by while dimension dominated human factors. In-depth study can provide scientific basis quantifying health regional ecosystems balance ecological environment under background climate change.

Language: Английский

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