Exploring trade-offs in agro-ecological landscapes: Using a multi-objective land-use allocation model to support agroforestry research DOI Creative Commons
Esther Reith, Elizabeth Gosling, Thomas Knoke

et al.

Basic and Applied Ecology, Journal Year: 2022, Volume and Issue: 64, P. 103 - 119

Published: Aug. 11, 2022

Finding the optimal land allocation for providing ecosystem services, conserving biodiversity and maintaining rural livelihoods is a key challenge of agricultural management land-use planning. Agroforestry has been widely discussed as sustainable solution one strategy to improve provision multiple ecological economic functions in landscapes. In this study, we use backdrop agroforestry research evaluate method from multi-criteria decision analysis toolbox: robust multi-objective optimization. The feature modelling approach its capacity integrate uncertain socio-economic data. We illustrate optimization model with case study eastern Panama, showing how can bring together scientific practical knowledge provide potentially desirable landscape compositions perspective farmers, public perspective, compromise solution. Example results our show assess whether component composition satisfy objectives different interest groups. Furthermore, demonstrate influence area share type agroforestry. Due parsimonious nature, could be used starting point an interactive co-learning process decision-makers, researchers other stakeholders. model, however, not yet suitable exact prediction future dynamics, questions spatially explicit configuration, studies going beyond regional scale or interactions agents. Therefore, outline needs recommendations types models hybrid approaches.

Language: Английский

Climate change adaptation through agroforestry: opportunities and gaps DOI Creative Commons
Amy Quandt, Henry Neufeldt,

Kayla Gorman

et al.

Current Opinion in Environmental Sustainability, Journal Year: 2023, Volume and Issue: 60, P. 101244 - 101244

Published: Jan. 5, 2023

This review highlights the current state of knowledge about socioeconomic and biophysical role agroforestry for climate change adaptation, identifies three gaps, discusses in adaptation policy processes. Recent scholarship has focused on modeling agroforestry’s ability to buffer crops from extremes, farmer perspectives benefits. Socioeconomic examines how increases adaptive capacity, reduces vulnerability, thus helps farmers reduce risk. However, we identify gaps: (1) uneven geographic distribution research, (2) understanding benefits during specific hazards, (3) lack integrated biophysical–socioeconomic research. Last, discuss emergence global agenda, as evidenced recent Intergovernmental Panel Climate Change reports United Nations Framework Convention

Language: Английский

Citations

87
Sustainable agriculture for food and nutritional security DOI
Rachid Mrabet

Elsevier eBooks, Journal Year: 2023, Volume and Issue: unknown, P. 25 - 90

Published: Jan. 1, 2023

Language: Английский

Citations

47
Towards Climate-Smart Agriculture: Strategies for Sustainable Agricultural Production, Food Security, and Greenhouse Gas Reduction DOI Creative Commons
Wogene Kabato, Girma Tilahun Getnet, Tamrat Sinore

et al.

Agronomy, Journal Year: 2025, Volume and Issue: 15(3), P. 565 - 565

Published: Feb. 25, 2025

Without transformative adaptation strategies, the impact of climate change is projected to reduce global crop yields and increase food insecurity, while rising greenhouse gas (GHG) emissions further exacerbate crisis. While agriculture a major contributor through unsustainable practices, it also offers significant opportunities mitigate these adoption sustainable practices. This review examines climate-smart (CSA) as key strategy for enhancing productivity, building resilience, reducing GHG emissions, emphasizing need strategic interventions accelerate its large-scale implementation improved security. The analysis revealed that nitrogen use efficiency (NUE) has in developed countries, NUE remains at 55.47%, precision nutrient management integrated soil fertility strategies enhance productivity minimize environmental impacts. With 40% world’s agricultural land already degraded, sustainability alone insufficient, necessitating shift toward regenerative practices restore degraded water by improving health, biodiversity, increasing carbon sequestration, thus ensuring long-term resilience. CSA including agriculture, biochar application, agroforestry, improve security, emissions. However, result variability highlights site-specific optimize benefits. Integrating multiple enhances health more effectively than implementing single practice alone. Widespread faces socio-economic technological barriers, requiring supportive policies, financial incentives, capacity-building initiatives. By adopting technologies, can transition sustainability, securing systems addressing challenges.

Language: Английский

Citations

6
Agroforestry-Based Ecosystem Services: Reconciling Values of Humans and Nature in Sustainable Development DOI Creative Commons
Meine van Noordwijk

Land, Journal Year: 2021, Volume and Issue: 10(7), P. 699 - 699

Published: July 2, 2021

Agroforestry as active area of multi-, inter-, and transdisciplinary research aims to bridge several artificial divides that have respectable historical roots but hinder progress toward sustainable development goals. These include: (1) The segregation “forestry trees” “agricultural crops”, ignoring the continuity in functional properties functions; farm-scale “Agroforestry-1” concept seeks reconnect perennial annual, woody nonwoody plants across forest–agriculture divide markets for inputs outputs. (2) identification agriculture with provisioning services assumed monopoly forests on other ecosystem (including hydrology, carbon storage, biodiversity conservation) landscape, challenged by opportunity “integrated” solutions at landscape scale “Agroforestry-2” explores. (3) gaps among local knowledge farmers/agroforesters managers, contributions social ecological sciences, path-dependency forestry, environmental or agricultural institutions, emerging policy responses “issue attention cycles” public debate, is focus “Agroforestry-3” concept. Progress understanding social–ecological–economic systems practitioners–science–policy interface requires both instrumental relational values nature are appreciated, they complement critical steps progressing issue cycles three scales. A set hypotheses can guide further research.

Language: Английский

Citations

63
Understanding farmers’ perception of climate change and adaptation practices in the marshlands of South Kivu, Democratic Republic of Congo DOI Creative Commons
Mushagalusa Balasha Arsène, Wivine Munyahali, John Tshomba Kulumbu

et al.

Climate Risk Management, Journal Year: 2022, Volume and Issue: 39, P. 100469 - 100469

Published: Dec. 12, 2022

Understanding farmers' perceptions about climate change and adaptation strategies can help support their efforts develop interventions more suited to the local context. This is particularly important for farmers who exploit fragile ecosystems such as marshlands. Using semi-structured questionnaires interviews conducted with smallholder in marshlands of Kabare, this study compares perception men women relating uses chi-square test logistic regression examine gendered differences response determinants choice sustainable practices. Meteorological data trends three decades were also compared. Results showed that both (77 %) (73 experienced was illustrated by changes temperature rainfall patterns. Farmers' are consistent historical showing a slightly increasing trend decrease last decade, between 2013 2019. Although significant observed gender sources information (p < 0.05), 50 % favored indigenous knowledge climate, while 61 stated experience exchange among fellow helped read predict trends. The common impacts reported included proliferation pests (90 %), soil fertility (75 floods, resulting crop failure. Farmers used various perceived impacts. However, practices diversification, drainage, growing low-maintenance crops, use mulch manure associated 'experience, exchanging farmers, livestock ownership, climatic threats crops. provided paper valuable resilience-building program.

Language: Английский

Citations

39
Tackling climate change: Agroforestry adoption in the face of regional weather extremes DOI Creative Commons
Christian Stetter, Johannes Sauer

Ecological Economics, Journal Year: 2024, Volume and Issue: 224, P. 108266 - 108266

Published: June 21, 2024

Language: Английский

Citations

10
Climate change mitigation and adaptation in agriculture: Why agroforestry should be part of the solution DOI Creative Commons
Rémi Cardinael, Georg Cadisch, Marie Gosme

et al.

Agriculture Ecosystems & Environment, Journal Year: 2021, Volume and Issue: 319, P. 107555 - 107555

Published: July 21, 2021

Language: Английский

Citations

53
Competition, stress and benefits: Trees and crops in the transition zone of a temperate short rotation alley cropping agroforestry system DOI Creative Commons
Anita Swieter, Maren Langhof, Justine Lamerre

et al.

Journal of Agronomy and Crop Science, Journal Year: 2021, Volume and Issue: 208(2), P. 209 - 224

Published: Sept. 7, 2021

Abstract Tree strips on agricultural production sites offer many economic, ecological and social advantages. However, the introduction of trees creates a transition zone between tree crop land. Here, plants compete for resources such as space, nutrients, water light, which causes stress in low‐competitive system. On other hand, facilitation additional nutrient input through leaf litter fine roots are possible. This study aims to provide indications competition benefits that can arise growing temperate short rotation alley cropping agroforestry system (SRACS). Various climatic plant‐growth parameters were investigated 2013 2019 at different positions an SRACS with fast‐growing poplars northern Germany. Reduced yield wheat, oilseed rape silage maize close strip was associated greater soil tension 30 60 cm depth due presence poplar roots, reduced solar radiation shading coverage. In contrast, outer rows produced more biomass than those inner availability light nutrients taken from field. Trees seem be competitive arable crops, but without effect average long‐term crops.

Language: Английский

Citations

41
Global carbon sequestration potential of agroforestry and increased tree cover on agricultural land DOI Creative Commons
Robert J. Zomer, Déborah Bossio, Antonio Trabucco

et al.

Circular Agricultural Systems, Journal Year: 2022, Volume and Issue: 2(1), P. 1 - 10

Published: Jan. 1, 2022

Biomass is fundamental to circular agricultural systems. Estimates of above- and below-ground biomass on land based upon IPCC Tier 1 estimates are compared with an updated carbon density map remote sensing, results indicating the methodology initial estimations robust. Two scenarios evaluated estimate sequestration potential increasing tree cover land: 1.) incremental change 2.) systematic agroforestry. below ground were combined a analysis increase in biomass. Global increases (4−6 Pg C for change; 12−19 change) highlight substantial mitigation potential. Increasing global by 10% would sequester more than 18 C. South America has highest potential, followed Southeast Asia, West Central Africa, North America. Brazil, Indonesia, Philippines, India, United States China among top countries.

Language: Английский

Citations

36
Optimising carbon fixation through agroforestry: Estimation of aboveground biomass using multi-sensor data synergy and machine learning DOI Creative Commons
Raj Kumar Singh, Çhandrashekhar Biradar, Mukunda Dev Behera

et al.

Ecological Informatics, Journal Year: 2023, Volume and Issue: 79, P. 102408 - 102408

Published: Dec. 3, 2023

As agricultural land expansion is the primary driver of deforestation, agroforestry could be an optimal use strategy for climate change mitigation and reducing pressure on forests. Agroforestry a promising method carbon sequestration. With recent advancements in geospatial data science technology, ability to predict aboveground biomass (AGB) assess ecosystem services rapidly expanding. This study was conducted Belpada Block Balangir, Odisha, forest-dominated region eastern India. We recorded species occurrence measured plant parameters, including Circumference at Breast Height (CBH), height, geolocation, 196 plots (0.09 ha) intervention sites noted tree species. used Sentinel-1 Sentinel-2 multi sensor achieve synergy AGB estimation. Three machine learning models were used: Random Forest (RF), Support Vector Machine (SVM), Artificial Neural Network (ANN). The RF model exhibited highest level prediction accuracy (R2 = 0.69 RMSE 17.07 Mg/ha), followed by ANN 0.63 19.35 SVM 0.54, 21.97 Mg/ha. spectral vegetation indices that are (Normalized Difference Vegetation Index (NDVI), Soil-Adjusted (SAVI), Enhanced (EVI), Modified Simple Ratio (MSR), (MSAVI), (DVI), SAR backscatter values, found important variables prediction. findings revealed interventions plantations resulted average stock increase 15 Mg/ha over five years area. Plant Value (PVI), which indicates importance local economy storage, showed Tectona grandis dominant with PVI value (88.35), Eucalyptus globulus (56.87), Mangifera indica (53.75), Azadirachta (15.45). approach enables monitoring efforts systems, thereby promoting effective management strategies.

Language: Английский

Citations

20