Agroforestry Systems最新文献_第9页

Life cycle assessment shows that integrating nut trees reduces carbon footprint of soybean farming 生命周期评估显示，种植坚果树可减少大豆种植的碳足迹

IF 3.2 3区农林科学

Agroforestry Systems Pub Date : 2026-08-08 DOI: 10.1007/s10457-026-01622-4

Seyedeh Masoumeh Hafezi, Martin Lukac, Zlatica Muchová, Vladimír Mačejovský, Ehsan Moradi, Michal Pástor, Jaroslav Jankovič, Jakub Mankovecký

{"title":"Life cycle assessment shows that integrating nut trees reduces carbon footprint of soybean farming","authors":"Seyedeh Masoumeh Hafezi, Martin Lukac, Zlatica Muchová, Vladimír Mačejovský, Ehsan Moradi, Michal Pástor, Jaroslav Jankovič, Jakub Mankovecký","doi":"10.1007/s10457-026-01622-4","DOIUrl":"10.1007/s10457-026-01622-4","url":null,"abstract":"<div>Agroforestry systems enhance productivity, resource-use efficiency, and climate resilience, offering a promising pathway for integrating soybean (Glycine max L. Merr.), European hazelnut (Corylus avellana L.) and sweet chestnut (Castanea sativa Mill.) into sustainable farming systems. This study employed a cradle-to-farm gate life cycle assessment, focusing on the climate change impact (carbon footprint) only due to its relevance as a key environmental indicator in agroforestry systems, to assess the climate change impacts and productivity of soybean monoculture, nut tree systems, and soybean–nut agroforestry in western Slovakia. Three agroforestry configurations were assessed using the IPCC (2021) GWP100 method, with biogenic carbon uptake in tree biomass modelled as negative CO2 flows. Integrating soybeans with nut trees consistently reduced net greenhouse gas emissions, with total GWP100 ranging from − 8.8 to − 17,122 kg CO2-eq ha−1, and modelled soybean yields ranging between 416 and 979 kg ha−1. Compared to conventional soybean monoculture (CAS), GWP was reduced by 68–101% (hazelnut) and 1,020–1,265% (chestnut), with yield declines of 61–83%. Sweet chestnut-based systems achieved the largest GWP reductions through modelled woody-biomass accumulation, whereas soybean–hazelnut systems retained higher modelled soybean yields but achieved smaller GWP reductions. Nut production provided an additional agricultural output. Overall, soybean–nut agroforestry systems show potential for climate mitigation alongside agricultural production under the assumptions of this study.</div>","PeriodicalId":7610,"journal":{"name":"Agroforestry Systems","volume":"100 7","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10457-026-01622-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148751046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessment of a farmland-constrained deep learning framework for fine-scale extraction of farmland shelterbelts from Sentinel-2 基于农田约束的深度学习框架对Sentinel-2农田防护林精细提取的评估

IF 3.2 3区农林科学

Agroforestry Systems Pub Date : 2026-08-08 DOI: 10.1007/s10457-026-01617-1

Yingqi Xu, Ping Lv, Zhuo Zhang, Lanjie Li, Zheng Chai, Cheng Tang, Yuanyuan Li

{"title":"Assessment of a farmland-constrained deep learning framework for fine-scale extraction of farmland shelterbelts from Sentinel-2","authors":"Yingqi Xu, Ping Lv, Zhuo Zhang, Lanjie Li, Zheng Chai, Cheng Tang, Yuanyuan Li","doi":"10.1007/s10457-026-01617-1","DOIUrl":"10.1007/s10457-026-01617-1","url":null,"abstract":"<div>Farmland shelterbelts are important components of arid agroecosystems, providing wind protection and supporting sustainable agricultural production. However, accurately mapping farmland shelterbelts remains challenging because their narrow linear structures, low proportion within agricultural landscapes, and spectral similarity with surrounding croplands often lead to fragmented or overestimated results when using medium-resolution satellite imagery. This study assessed a farmland-constrained deep learning framework for fine-scale farmland shelterbelt mapping in the 11th Regiment of Alar City, southern Xinjiang, China. Sentinel-2 Level-2A imagery with a spatial resolution of 10 m acquired from September to November 2023 was used, and cropland distribution information was incorporated as a spatial constraint to reduce false detections outside agricultural areas. Two semantic segmentation models, U-Net ++ and TransUNet, were evaluated within the same framework to compare their effectiveness in producing reliable shelterbelt maps. TransUNet achieved higher mapping reliability than U-Net + +, with an IoU of 65.2% and a user accuracy of 85.0%, compared with 59.5 and 54.0%, respectively. Moreover, the extracted shelterbelt area decreased from 9.4 km2 for U-Net ++ to 6.2 km2 for TransUNet, indicating fewer expansion-type commission errors within cropland interiors. These findings demonstrate that reliable farmland shelterbelt mapping requires consideration of spatial reliability in addition to pixel-level accuracy and highlight the potential of farmland-constrained deep learning frameworks for supporting shelterbelt monitoring and management in arid agricultural regions.</div>","PeriodicalId":7610,"journal":{"name":"Agroforestry Systems","volume":"100 7","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148751317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Farmers’ awareness and perceptions of silvopoultry: insights from the Dormaa Central Municipality of Ghana 农民对银禽的认识和看法：来自加纳多马中部市的见解

IF 3.2 3区农林科学

Agroforestry Systems Pub Date : 2026-08-08 DOI: 10.1007/s10457-026-01621-5

Ishmael Hashmiu, Duodu-Owusu Winifred, Esther Abilla

{"title":"Farmers’ awareness and perceptions of silvopoultry: insights from the Dormaa Central Municipality of Ghana","authors":"Ishmael Hashmiu, Duodu-Owusu Winifred, Esther Abilla","doi":"10.1007/s10457-026-01621-5","DOIUrl":"10.1007/s10457-026-01621-5","url":null,"abstract":"<div>Despite the significance of silvopoultry to sustainable agri-food systems, research is lacking on its popularity among farmers in the developing world. Using survey data from 130 poultry farmers and five key informants, this study assessed farmers’ awareness and perceptions of silvopoultry in the Dormaa Central Municipality of Ghana. Data were analysed using descriptive statistics, chi-square test, and binary logistic regression. Findings indicate that 56% of farmers were aware of silvopoultry, while 44% were unaware of it. Social media (42%) and friends (26%) were the most dominant sources of information on silvopoultry, highlighting the significant role played by social networks in that regard. Farmers’ awareness of silvopoultry was explained by farmer and farm characteristics, including farming experience (p = 0.001), ownership of multiple poultry farms (p = 0.033), and farm size (p = 0.044). Despite some level of awareness, silvopoultry was not being practised by any of the farmers. Overall, limited awareness, lack of firsthand experience, and perceived low profitability were farmers’ main reasons for not practising silvopoultry. Findings imply that in resource-poor contexts where market incentives are lacking, incorporation of tree products into poultry feed, rather than full-fledged silvopoultry, may be helpful as an intermediate step to using agroforestry to sustain poultry production. Transitioning to full-fledged silvopoultry may require an institutional framework for establishing a market premium, enhancing awareness creation, and building farmers’ capacity to mitigate biosecurity risks. Social network can be an effective communication channel for bolstering awareness creation and knowledge transfer on silvopoultry.</div>","PeriodicalId":7610,"journal":{"name":"Agroforestry Systems","volume":"100 7","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148751000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ecosystem carbon dynamics across coffee–enset-based agroforestry systems in Sidama, southern Ethiopia 埃塞俄比亚南部锡达马以咖啡种植业为基础的农林业系统的生态系统碳动态

IF 3.2 3区农林科学

Agroforestry Systems Pub Date : 2026-08-08 DOI: 10.1007/s10457-026-01623-3

Galfato Gabiso, Nigussie Dechassa, Tesfaye Abebe, Mesele Negash, Elfinesh Shikur

{"title":"Ecosystem carbon dynamics across coffee–enset-based agroforestry systems in Sidama, southern Ethiopia","authors":"Galfato Gabiso, Nigussie Dechassa, Tesfaye Abebe, Mesele Negash, Elfinesh Shikur","doi":"10.1007/s10457-026-01623-3","DOIUrl":"10.1007/s10457-026-01623-3","url":null,"abstract":"<div>Climate-smart coffee–enset-based agroforestry is increasingly promoted as a nature-based strategy for climate mitigation and ecological resilience in tropical smallholder systems. However, quantitative evidence on how vegetation structure influences carbon allocation across biomass and soil pools remains limited in southern Ethiopia. This study evaluated carbon partitioning across four land-use systems: home garden agroforestry (HGAF), coffee agroforestry (CAF), monocrop coffee (MC), and annual cropland (CL). A total of 64 field plots were assessed, and 248 soil samples were collected from 0–60 cm depth. Tree biomass carbon was estimated using allometric equations, while soil organic carbon (SOC) was analyzed using the Walkley–Black method. Biomass carbon stocks differed significantly among land-use systems (p < 0.05) and increased with vegetation structural complexity. Coffee agroforestry stored the highest biomass carbon (150.21 ± 18.6 Mg C ha−1), whereas monocrop coffee had the lowest (43.42 ± 7.01 Mg C ha−1). Aboveground biomass accounted for 86–87% of biomass carbon across systems. Tree biomass contributed 78.4% of total biomass carbon in CAF compared with 49.4% in HGAF, reflecting differences in canopy structure and management intensity. SOC stocks were highest in HGAF (147.48 Mg C ha−1) and lowest in cropland (100.28 Mg C ha−1). Overall, CAF exhibited the greatest total carbon stock (280.08 Mg C ha−1). These findings demonstrate that structurally complex Coffee–enset-based agroforestry systems enhance both carbon sequestration and ecological resilience, highlighting their importance for climate mitigation and landscape restoration strategies in the humid tropical highlands of Ethiopia.</div>","PeriodicalId":7610,"journal":{"name":"Agroforestry Systems","volume":"100 7","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148751179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Farmers’ actions towards sustainability: an evidence-based methodology for native forest ecosystems supporting low-carbon livestock in grazed dairy systems 农民实现可持续性的行动：原生森林生态系统支持放牧乳制品系统中低碳牲畜的循证方法

IF 3.2 3区农林科学

Agroforestry Systems Pub Date : 2026-08-08 DOI: 10.1007/s10457-026-01577-6

Efraín Duarte, Elisavet Zoupanidou, Patricio Barria, Claudia Garrido-Ruiz, Alexander Hernandez, Jose I. Orellana, Benjamín Glasner, Viviana Bustos

{"title":"Farmers’ actions towards sustainability: an evidence-based methodology for native forest ecosystems supporting low-carbon livestock in grazed dairy systems","authors":"Efraín Duarte, Elisavet Zoupanidou, Patricio Barria, Claudia Garrido-Ruiz, Alexander Hernandez, Jose I. Orellana, Benjamín Glasner, Viviana Bustos","doi":"10.1007/s10457-026-01577-6","DOIUrl":"10.1007/s10457-026-01577-6","url":null,"abstract":"<div>Knowledge of the spatiotemporal distribution of forest carbon (C) stocks is essential for designing strategies that address global environmental change. Here, we developed a transparent framework to establish a 2016–2021 baseline for quantifying, monitoring, and reporting greenhouse gas (GHG) emission reductions and removal enhancements in native forests embedded within grazed dairy systems in southern Chile. We integrated data from 107 forest inventory plots with Sentinel-2 multispectral imagery and implemented a Random Forest regression model on the Google Earth Engine cloud platform. Our results indicate that native forests across the six study sites store a total of 113,751.4 Mg C, with a mean of 157.7 Mg C ha−1. The mean annual increase in C stock between 2016 and 2021 was 3.2 Mg C ha−1 yr−1, corresponding to a total gain of 12,598.3 Mg C (46,194 Mg CO₂eq). Model performance was high, with R2 = 0.93 and RMSE = 22.9 Mg C ha−1, indicating robust agreement between observed and predicted values. The approach proposed in this study provides a robust, transparent, and replicable methodology for measuring and monitoring carbon stocks in Chile’s native forests. This methodological framework can be used to derive baseline estimates of additional GHG emissions and removals and may support the development of scientifically sound forest carbon projects in dairy landscapes.</div>","PeriodicalId":7610,"journal":{"name":"Agroforestry Systems","volume":"100 7","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10457-026-01577-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148751180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enrichment of shade-coffee plantations in Mexico with native tree species selected through participatory processes 通过参与式过程选择本地树种，丰富墨西哥的遮荫咖啡种植园

IF 3.2 3区农林科学

Agroforestry Systems Pub Date : 2026-08-01 DOI: 10.1007/s10457-026-01599-0

M. Toledo-Garibaldi, R. H. Manson, T. Toledo-Aceves, C. M. Flores-Ortiz, F. G. Vázquez-Corzas, G. Quintas, S. Melchor, A. Bautista, D. Cabrera-Santos, M. Gianella, T. Ulian

{"title":"Enrichment of shade-coffee plantations in Mexico with native tree species selected through participatory processes","authors":"M. Toledo-Garibaldi, R. H. Manson, T. Toledo-Aceves, C. M. Flores-Ortiz, F. G. Vázquez-Corzas, G. Quintas, S. Melchor, A. Bautista, D. Cabrera-Santos, M. Gianella, T. Ulian","doi":"10.1007/s10457-026-01599-0","DOIUrl":"10.1007/s10457-026-01599-0","url":null,"abstract":"<div>In Mexico, coffee is produced predominantly within traditional agroforestry systems, but multiple economic and environmental stressors have led to management intensification. Increased density and diversity of shade cover through native tree species planting in these systems can help conserve biodiversity, enhance ecosystem services and resilience to climate change, while meeting farmers’ needs and preferences and enhancing local livelihoods. We evaluated the structural and taxonomic diversity of canopy shade cover and the effects of biotic and abiotic factors on the performance of 12 native tree species selected for shade-coffee canopy enrichment. These species were prioritized together with farmers based on socio-ecological criteria during participatory community workshops. Six pioneer and six shade-tolerant species were planted in five low density shade Arabic coffee farms (< 46% canopy cover) in central Veracruz, Mexico, and their survival and growth were measured over two years. Across all sites, 39 tree species were recorded in the canopy; 72% were native and 28% non-native. Sapling survival ranged between 52.8 ± 10.6 and 12.0 ± 12.0% and average growth ranged between 149.6 ± 24.2 cm / yr and 38.7 ± 2.0 cm / yr, among species. Pioneer species had a two-fold higher survival, and higher growth rates than shade-tolerant species. Survival of pioneer species increased with canopy cover, while none of the variables had a significant effect on survival of shade-tolerant species. Our findings support the enrichment of shade-coffee farms with a mixture of pioneers and shade-tolerant native tree species as a strategy to promote biodiversity conservation and enhance ecosystem services in coffee agroforestry systems over the long term.</div>","PeriodicalId":7610,"journal":{"name":"Agroforestry Systems","volume":"100 7","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10457-026-01599-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148750694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dual-purpose traits of Paulownia ‘Shan Tong’ in a semi-arid Tunisian agroforestry system: wood properties and nutritional quality for small ruminants 半干旱突尼斯农林业系统中泡桐的双重用途特性：小反刍动物的木材特性和营养品质

IF 3.2 3区农林科学

Agroforestry Systems Pub Date : 2026-07-31 DOI: 10.1007/s10457-026-01616-2

Rabiaa Mouhbi, Ines Tounsi, Saber Jedidi, Sana Dallali, Aidi Dabboussi, Mokhtar Baraket, Hanene Ghazghazi, Mohamed-Tahar Elaieb, Foued Aloui

{"title":"Dual-purpose traits of Paulownia ‘Shan Tong’ in a semi-arid Tunisian agroforestry system: wood properties and nutritional quality for small ruminants","authors":"Rabiaa Mouhbi, Ines Tounsi, Saber Jedidi, Sana Dallali, Aidi Dabboussi, Mokhtar Baraket, Hanene Ghazghazi, Mohamed-Tahar Elaieb, Foued Aloui","doi":"10.1007/s10457-026-01616-2","DOIUrl":"10.1007/s10457-026-01616-2","url":null,"abstract":"<div>Climate-resilient agroforestry in Mediterranean drylands increasingly requires multipurpose tree species capable of simultaneously providing wood products and forage-related biomass in low-input production systems. The objective of this study was to characterize growth performance, wood properties, leaf nutritional composition, and in vitro fermentability of Paulownia ‘Shan Tong’. Twenty trees from a rainfed plantation cultivated in semi-arid region of Tunisia were assassed for growth performance, wood properties, leaf chemical composition, and in vitro fermentability to evaluate traits potentially relevant to multifunctional agroforestry applications. The wood exhibited relatively low density and moderate mechanical resistance, consistent with juvenile growth under rainfed low-input management, while maintaining favorable dimensional stability for potential lightweight applications. Leaf composition indicated nutritional characteristics compatible with supplementary feeding potential for small ruminants. Fermentation profiles varied between inoculum sources in the present study, suggesting possible differences in ruminal fermentation behavior. Methane-related variables remained within ranges commonly reported for Mediterranean browse resources. The substantial foliage biomass produced in the semi-arid environment studied suggests potential relevance for forage diversification strategies in Mediterranean farming systems. Overall, the findings provide preliminary evidence supporting further evaluation of Paulownia ‘Shan Tong’ as a multifunctional tree resource for Mediterranean agroforestry systems. However, broader recommendations require replicated multi-site studies, in vivo nutritional validation, and economic assessment under practical production conditions.</div>","PeriodicalId":7610,"journal":{"name":"Agroforestry Systems","volume":"100 7","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148628727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Productivity of yam (Dioscorea rotundata, Dioscorea alata) under cashew grove integrating smart agriculture practices in the face of climate change in Central Benin 面对气候变化，贝宁中部腰果林下整合智能农业实践的山药（圆形薯蓣薯蓣）生产力

IF 3.2 3区农林科学

Agroforestry Systems Pub Date : 2026-07-30 DOI: 10.1007/s10457-026-01481-z

Raphiou Maliki, Sèmèvo Anicet Sangnidjo, Fortuné Ogouvidé, Antoine Gbofan, Léonard Hinnou , Kouami N’Djolossè, Anselme Bio, Stéphane Rivain, Brice Sinsin

{"title":"Productivity of yam (Dioscorea rotundata, Dioscorea alata) under cashew grove integrating smart agriculture practices in the face of climate change in Central Benin","authors":"Raphiou Maliki, Sèmèvo Anicet Sangnidjo, Fortuné Ogouvidé, Antoine Gbofan, Léonard Hinnou , Kouami N’Djolossè, Anselme Bio, Stéphane Rivain, Brice Sinsin","doi":"10.1007/s10457-026-01481-z","DOIUrl":"10.1007/s10457-026-01481-z","url":null,"abstract":"<div>Yam cultivation is one of the main causes of deforestation and land degradation worsened by climate change. Smart agriculture was practiced by groups of farmers in central Benin in West Africa. This concerns an innovative agroforestry yam-based cropping system selected in a rotational crop dynamic in old cashew plantation upgraded integrating multi-purpose species such as Jatropha curcas and Gliricidia sepium in the hedge fence design, previous maize-Mucuna in intercropping and planting with two local varieties of yam (Dioscorea rotundata, Dioscorea alata) and application of three doses (0 t, 5 t and 10 t ha−1) of compost produced locally and used as background manure. This practice was assessed in collaboration with farmers in farmer Field School, in comparing with the usual dominant practice of degraded forest fallow on slash and burn (absolute control). The objective was to evaluate the technical and economic performance of these systems. The improved systems offered better productivity of land, labor and capital. Average yields in improved systems varied from 9.5 to 14.5 t ha−1 with different doses, all yam varieties combined, compared to 10.2 t ha−1 in degraded fallows on burned (P < 0.0001), all below the production potential of the species. No interaction effect between treatments and varieties was observed. Discounted net incomes, return on investments and labor productivities ranged respectively $1900–$2342 ha−1, 64%–71% and $4.62–$5.69 per Man-Day in improved systems versus $818 ha−1, 43% and $4.30 per Man-Day in degraded fallow. The social and economic impacts, the benefits, constraints and solutions, the environmental impacts were highlighted.</div>","PeriodicalId":7610,"journal":{"name":"Agroforestry Systems","volume":"100 7","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148614803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Food forests in fire-prone landscapes: insights from interviews and site assessments in Portugal 火灾易发景观中的食物森林：来自葡萄牙访谈和现场评估的见解

IF 3.2 3区农林科学

Agroforestry Systems Pub Date : 2026-07-29 DOI: 10.1007/s10457-026-01609-1

S. E. Leegwater, A. N. Neidermeier

{"title":"Food forests in fire-prone landscapes: insights from interviews and site assessments in Portugal","authors":"S. E. Leegwater, A. N. Neidermeier","doi":"10.1007/s10457-026-01609-1","DOIUrl":"10.1007/s10457-026-01609-1","url":null,"abstract":"<div>Land use and climate change are driving new fire regimes across Europe’s Mediterranean region. Food forests, a form of agroforestry designed to mimic forest structure while producing food, are increasingly being established in fire-prone landscapes. While food forests are often associated with ecosystem services that may contribute to wildfire resilience, little empirical research has examined how these systems interact with wildfire. To address this gap, we conducted semi-structured interviews and site assessments in 10 Portuguese food forests, focusing on wildfire-related experiences, management practices, vegetation characteristics, and an exploratory fuel model assessment. Interviewees reported diverse experiences with wildfire and a range of management practices intended to reduce vulnerability to fire. Food forest characteristics varied among sites, with established systems (> 5 years) exhibiting cooler, moister conditions and lower surface fuel accumulation than younger systems, where mulch and herbaceous vegetation were more common. Participants also identified management practices with potentially contrasting implications for wildfire resilience, including the use of compost, irrigation systems, prescribed burning, and eucalyptus. Comparison with the Scott and Burgan Fire Behavior Fuel Models indicated that these existing fuel model classifications were frequently unable to adequately capture the structural heterogeneity characteristic of food forests. This study provides a first empirical exploration of wildfire-related experiences, management practices, and site characteristics in Portuguese food forests. The findings highlight opportunities and challenges associated with managing food forests in fire-prone landscapes and identify priorities for future agroforestry and wildfire research.</div>","PeriodicalId":7610,"journal":{"name":"Agroforestry Systems","volume":"100 7","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10457-026-01609-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148614915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integration of Non-Timber forest products (NTFPs) in agroforestry systems 农林业系统中非木材林产品的整合

IF 3.2 3区农林科学

Agroforestry Systems Pub Date : 2026-07-28 DOI: 10.1007/s10457-026-01574-9

Rajesh Kumar, Amit Dixit, K. K. Chandra, Atul Kumar Bhardwaj, Bhavana Dixit

引用次数: 0