Case Studies of Successful Agroforestry Projects

Advances in environmental engineering and green technologies book series, Journal Year: 2025, Volume and Issue: unknown, P. 143 - 172

Published: Feb. 28, 2025

Agroforestry, a sustainable land-based management system integrates trees with crops and livestock, has deep historical roots in Asian African countries. Apart from providing numerous social, economic, environmental benefits agroforestry plays crucial role bolstering climate resilience within agricultural systems. This chapter presents different case studies Asia Africa showing the potent of tree-based farming practices enhancing soil health, water management, biodiversity conservation, besides helping to ensure food nutritional security rural households. Countries like India, Bangladesh, Nepal, Uzbekistan have demonstrated agroforestry's potential boosting productivity, improving diversification income sources. Similarly, Africa, vital combating insecurity, poverty, land degradation. summarizes pre-requisites for unlocking create resilient landscape.

Language: Английский

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Tsunami Risk Mapping and Sustainable Mitigation Strategies for Megathrust Earthquake Scenario in Pacitan Coastal Areas, Indonesia

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2564 - 2564

Published: March 14, 2025

The Pacitan Regency is at risk of megathrust earthquakes and tsunamis due to the seismic gap along southern region Java Island, making risk-reduction efforts crucial. This research aims analyse tsunami associated with a potential earthquake scenario in Pacitan’s coastal areas develop sustainable mitigation strategies. employs spatial analysis evaluate subsequently formulate strategies for long-term mitigation. A weighted overlay method was utilised integrate hazard (H) vulnerability (V) datasets produce map (R). component modelled using propagation simulation based on Shallow Water Equations Delft3D-Flow software, incorporating an Mw 8.8 H-loss calculations ArcGIS Pro 10.3. assessment conducted by overlaying population density, land use, building footprint from Global Human Settlement Layer (GHSL) datasets. Finally, were proposed mitigate effectively. results show that faces significant disaster risk, waves coast reaching 16.6 m. Because densely populated, are necessary, present contribution, authors developed holistic planning, which prioritise preservation restoration natural barriers, such as mangroves forests.

Language: Английский

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Can trees and their associated organisms still benefit arable crops in the presence of pesticide use?

Agricultural Systems, Journal Year: 2025, Volume and Issue: 225, P. 104292 - 104292

Published: Feb. 26, 2025

Language: Английский

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Harnessing Agroforestry for Climate Change Solutions

Advances in environmental engineering and green technologies book series, Journal Year: 2025, Volume and Issue: unknown, P. 229 - 258

Published: Feb. 28, 2025

Globally, the impact of climate change on microbes, plants, animals, humans, and other environmental elements has called for urgent, safe, sustainable interventions. Primarily, leads to drought, land degradation, soil fertility depletion, erosion, unfolding new pests diseases, which consequently affect food security. Different methods targeted at reducing greenhouse gas emissions involved transition renewable energy sources, adoption technologies in industrial transportation sectors, good agricultural practices mechanisms such as zero, tillage, crop rotation, agroforestry. However, all these methods, agroforestry is unique, it able mitigate alleviate effects change. Therefore, this chapter discusses through Agroforestry alleviates change, identifies research gaps, recommends how can be better explored

Language: Английский

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Greenhouse Environment Sentinel with Hybrid LSTM-SVM for Proactive Climate Management

AgriEngineering, Journal Year: 2025, Volume and Issue: 7(4), P. 96 - 96

Published: April 1, 2025

This research presents a hybrid approach of Long Short-Term Memory (LSTM) and Support Vector Machine (SVM) model for greenhouse environmental monitoring, integrating machine learning Internet Things (IoT)-based sensing to enhance climate prediction classification. Unlike traditional single-method approaches, this dual-model system provides comprehensive framework real-time control, optimizing temperature humidity forecasting while enabling accurate weather The LSTM excels in capturing sequential patterns, achieving superior performance with Root-Mean-Square Error (RMSE) 0.0766, Mean Absolute (MAE) 0.0454, coefficient determination (R2) 0.8825. For forecasting, our comparative analysis revealed that the Simple Recurrent Neural Network (RNN) demonstrates best accuracy (RMSE: 5.3034, MAE: 3.8041, R2: 0.8187), an unexpected finding highlights importance parameter-specific selection. Simultaneously, SVM classifies states 0.63, surpassing classifiers such as Logistic Regression K Nearest Neighbors (KNN). To data collection transmission, ESP NOW wireless protocol is integrated, ensuring low latency reliable communication between sensors. proposed LSTM-SVM system, combined IoT technology, represents significant advancement proactive management, offering scalable sustainable solution plant growth, resource allocation, adaptation.

Language: Английский

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Crop diversification as a cornerstone for sustainable agroecosystems: tackling biodiversity loss and global food system challenges

Deleted Journal, Journal Year: 2025, Volume and Issue: 7(5)

Published: April 19, 2025

Language: Английский

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Farmers' perception on the impact of climate change in rubber tree production and their knowledge of rubber-based agroforestry: case study of Côte d’Ivoire

Discover Sustainability, Journal Year: 2025, Volume and Issue: 6(1)

Published: April 23, 2025

Language: Английский

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Transcriptomic Profiling Analyses Revealed Candidate Genes Under Freezing Stress in Siberian Apricot (Prunus sibirica)

Forests, Journal Year: 2024, Volume and Issue: 15(11), P. 1870 - 1870

Published: Oct. 24, 2024

Siberian apricot (Prunus sibirica) is an important ecological and commercial woody plant that negatively affected by spring frosts. However, the mechanisms control gene expression in adaptation to freezing remain largely unknown. In this work, we investigated physiological, molecular, phenotypic characteristics of pistils two P. sibirica clones differ their ability withstand stress. A total 14,717 unigenes categorized into 38 functional groups were identified. Additionally, included 3931 up-regulated 2070 down-regulated differentially expressed genes (DEGs). Many DEGs are related Ca2+ MAPK signaling, carbohydrate biosynthesis metabolism, hormone signal transduction, amino acids, photosynthesis. The metabolism carbohydrates, lipids, secondary metabolites, terpenoid transcriptome modifications most significantly altered Real-time quantitative PCR (RT-qPCR) was used verify precision RNA-seq data. PsbHLH18, PsMYB4, PsMYB44, PsPOD1, PsCDPK5 may play roles tolerance floral organ. This study provides a foundation for further studies on complex stress response sibirica.

Language: Английский

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Shelterbelt and Windbreak Research in Arid India: A Review of Research Advances and Future Directions

Indian Journal of Agricultural Research, Journal Year: 2024, Volume and Issue: Of

Published: Nov. 18, 2024

Shelterbelts and windbreaks play a crucial role in enhancing agricultural productivity environmental sustainability, particularly arid regions where harsh climatic conditions pose significant challenges to land use. In India, substantial portion of the landscape is characterized by dry, aridand semi-arid conditions, strategic implementation can mitigate soil erosion, reduce evaporationand enhance microclimatic for crops. Globally, research this area has gained momentum as impacts climate change intensify, further exacerbating vulnerabilities these fragile ecosystems. technology was practiced diligently control movement sand dunesand stop desertification extending from Thar desert. By integrating native tree species adopting region-specific management practices, studies have shown that shelterbelts/ significantly improve fertility crop yield, while also providing habitats biodiversity other ecosystem services. Furthermore, socio-economic benefits local communities, such improved livelihoods resilience against extremes, underline importance windbreak regions. This review aims synthesize existing knowledge on shelterbelt practices India’s landscapes, highlighting successful cases, trends potential pathways future research. examining multifaceted ecological structures, we aim provide comprehensive understanding their promoting sustainable vulnerable communities opening vistas

Language: Английский

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