2023
DOI: 10.3390/su15086913
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Towards Sustainable Pasture Agrolandscapes: A Landscape-Ecological-Indicative Approach to Environmental Audits and Impact Assessments

Abstract: Reliable environmental audits and impact assessments are essential to achieve effective pasture utilization and ensure the production of high-quality livestock products. This study aims to develop an environmental audit and impact assessment method for pasture agrolandscapes to promote sustainable livestock practices, using Central Kazakhstan as a case study. To provide a strong foundation for this research, the study utilized representations of pasture agrolandscapes, landscape-ecological and landscape-indica… Show more

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Cited by 5 publications
(2 citation statements)
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References 101 publications
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“…The present study provides valuable insights into the critical climatic indices that influence river discharge and level in the study area. The findings underscore the importance of continuous monitoring and assessment of hydro-climatic processes to inform effective water management strategies and policies [40,41]. The observed relationships between climatic indices and water discharge and level highlight the need for measures to mitigate the impact of climate change on hydrological processes and sustainable water management practices.…”
Section: Critical Climatic Indices Affecting Water Discharge and Levelmentioning
confidence: 84%
“…The present study provides valuable insights into the critical climatic indices that influence river discharge and level in the study area. The findings underscore the importance of continuous monitoring and assessment of hydro-climatic processes to inform effective water management strategies and policies [40,41]. The observed relationships between climatic indices and water discharge and level highlight the need for measures to mitigate the impact of climate change on hydrological processes and sustainable water management practices.…”
Section: Critical Climatic Indices Affecting Water Discharge and Levelmentioning
confidence: 84%
“…This assertion is because the accuracy scores of important classifiers in other studies vary [94]. However, it can be challenging to make quantitative comparisons between the results due to the different performance metrics used [123][124][125][126].…”
Section: Discussionmentioning
confidence: 99%