The study analyzed the level of agro-ecosystem sensitivity to climate change among the agro-climatic zones (ACZs) that are situated in the highlands of Lake Tana sub-basin. The analyses considered the actual land capability class (LCC in % considering soil texture, slope and elevation zone), crop diversity (count), length of growing period (LGP, month), and inter-annual variability of climate (mean annual rainfall-MARF in mm, mean monthly minimum temperature-MMMinT in ºC, and mean monthly maximum temperature-MMMaxT in ºC). For comparison purpose, it was essential to index/standardize the values of specified indicators. The proportion of arable land varied from 13.30% (in the Sub-Alpine) to 93.00% (in the Moist-Cold). The value of coefficient of variation showed the presence of variations of 7.85-11.21 (%), 7.21-10.34 (%), 16.37-39.61 (%) for MARF (mm), MMMaxT (ºC), and MMMinT (ºC), respectively across the ACZs. The inter-annual variability of both onset and offset time of rainy season was found to be in the range of 0.3-1.25 months. The LGP (month) was in the range of 3.25-6.25 across the ACZs; whereas crop diversity (count) ranged from 2-7. The production of red onion (allium cepa), oat (), local wheat (), and pea () was abandoned in the Sub-Alpine; whereas the production of linseed (), barley (), and niger in the Moist-Cool. Yet, crops like maize and tef became the common crops in the Cold, possibly because of global warming. The indexed value of agro-ecosystem sensitivity to climate change ranged from 0.14-0.71. The level of agro-ecosystem sensitivity was higher towards the Sub-Alpine. The local development interventions to be made in the various ACZs need to be determined/prioritized considering the level of agro-ecosystem sensitivity.
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http://dx.doi.org/10.1016/j.heliyon.2021.e07454 | DOI Listing |
Front Plant Sci
December 2024
Institute of Biotechnology, Jiaxing Academy of Agricultural Science, Jiaxing, China.
Nitrogen is essential for rice growth and yield formation, but traditional methods for assessing nitrogen status are often labor-intensive and unreliable at high nitrogen levels due to saturation effects. This study evaluates the effectiveness of flavonoid content (Flav) and the Nitrogen Balance Index (NBI), measured using a Dualex sensor and combined with machine learning models, for precise nitrogen status estimation in rice. Field experiments involving 15 rice varieties under varying nitrogen application levels collected Dualex measurements of chlorophyll (Chl), Flav, and NBI from the top five leaves at key growth stages.
View Article and Find Full Text PDFJ Hazard Mater
December 2024
Department of Botany, Institute of Science, Banaras Hindu University (BHU), Varanasi 221005, Uttar Pradesh, India. Electronic address:
Poultry manure is widely used as organic fertilizer in agriculture during the cultivation of crops, but the persistent high-level use of antibiotics in poultry production has raised concerns about the selection for reservoirs of antimicrobial resistance genes (ARGs). Previous studies have shown that the addition of poultry manure can increase the abundance of genes associated with resistance to tetracyclines, aminoglycosides, fluoroquinolones, sulfonamides, bacitracin, chloramphenicol, and macrolide-lincosamide-streptogramin in soil and plants. Understanding the microbial populations that harbor these ARGs is important to identify microorganisms that could enter the human food chain.
View Article and Find Full Text PDFMol Ecol
October 2024
Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China.
Water Res
May 2024
State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China; Quanzhou Institute for Environment Protection Industry, Nanjing University, Quanzhou 362000, China. Electronic address:
PNAS Nexus
February 2024
Department of Ecosystem and Conservation Sciences, WA Franke College of Forestry and Conservation, University of Montana, Missoula, MT 59801, USA.
Linking individual and stand-level dynamics during forest development reveals a scaling relationship between mean tree size and tree density in forest stands, which integrates forest structure and function. However, the nature of this so-called scaling law and its variation across broad spatial scales remain unquantified, and its linkage with forest demographic processes and carbon dynamics remains elusive. In this study, we develop a theoretical framework and compile a broad-scale dataset of long-term sample forest stands ( = 1,433) from largely undisturbed forests to examine the association of temporal mean tree size vs.
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