Pub Date : 2026-01-01DOI: 10.1016/j.tfp.2025.101132
Zhenfan Liu , Yiwei Han , Hanqing Zheng , Wenjuan Wu , Ming Chen , Donghui Peng
Urban green spaces help mitigate urban heat, yet the equity of their cooling services remains insufficiently examined. Existing equity assessments often emphasize the quantity of green space while overlooking qualitative attributes and resident preferences. This study analyzes 52 green spaces in Fuzhou and develops an integrated framework to assess the equity of cooling services by combining cooling performance, service quality, and user preferences. The evaluation covers cooling intensity, accessibility, and spatial equity. The results show that: (1) cooling performance varies substantially across the city, with large peripheral parks providing strong cooling effects, whereas many small centrally located green spaces offer limited cooling; (2) cooling accessibility exhibits a “core clusters—peripheral gaps—local hotspots” pattern, indicating pronounced disparities at the urban–rural interface; and (3) overall cooling equity remains low as high-quality cooling services are unevenly allocated relative to population needs, and extending travel-time thresholds does little to correct this imbalance. The study’s primary contribution is integrating cooling effects, service quality, and resident preferences into a comprehensive equity assessment framework, offering valuable guidance for green space planning and promoting environmental justice.
{"title":"Equity of cooling services of urban green spaces from the perspective of community life circles: Integrating cooling effects, service quality, and resident preferences","authors":"Zhenfan Liu , Yiwei Han , Hanqing Zheng , Wenjuan Wu , Ming Chen , Donghui Peng","doi":"10.1016/j.tfp.2025.101132","DOIUrl":"10.1016/j.tfp.2025.101132","url":null,"abstract":"<div><div>Urban green spaces help mitigate urban heat, yet the equity of their cooling services remains insufficiently examined. Existing equity assessments often emphasize the quantity of green space while overlooking qualitative attributes and resident preferences. This study analyzes 52 green spaces in Fuzhou and develops an integrated framework to assess the equity of cooling services by combining cooling performance, service quality, and user preferences. The evaluation covers cooling intensity, accessibility, and spatial equity. The results show that: (1) cooling performance varies substantially across the city, with large peripheral parks providing strong cooling effects, whereas many small centrally located green spaces offer limited cooling; (2) cooling accessibility exhibits a “core clusters—peripheral gaps—local hotspots” pattern, indicating pronounced disparities at the urban–rural interface; and (3) overall cooling equity remains low as high-quality cooling services are unevenly allocated relative to population needs, and extending travel-time thresholds does little to correct this imbalance. The study’s primary contribution is integrating cooling effects, service quality, and resident preferences into a comprehensive equity assessment framework, offering valuable guidance for green space planning and promoting environmental justice.</div></div>","PeriodicalId":36104,"journal":{"name":"Trees, Forests and People","volume":"23 ","pages":"Article 101132"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01DOI: 10.1016/j.tfp.2026.101146
Renjie Wu , Zhijun Dai , Xuefei Mei , Chuqi Long , Diankai Wang , Jie Wang , Jinping Cheng
Mangroves play a crucial role in coastal protection and biodiversity but face escalating threats from anthropogenic pressures and climate-driven disturbances. Long-term monitoring remains challenging due to mangrove fragmentation and limited high-resolution historical data. This study presents a deep learning–based approach for mangrove identification, leveraging cloud-free Sentinel-2 MSI imagery (10 m resolution) and Mask R-CNN to map and analyze mangrove dynamics on Lantau Island, Hong Kong, from 2016 to 2024. The model integrates surface reflectance bands, spectral indices (EVI, LSWI, MVI), and elevation data, achieving high accuracy (mean absolute percentage error: 6.91%; root mean square error: 0.04 × 10⁴ ha). Multi-source validation demonstrated its strong generalization capacity across global mangrove ecosystems. Spatiotemporal analysis revealed divergent trends in two key mangrove stands. In Shui Hau, mangrove area declined continuously from 0.77 ha in 2016 to 0.39 ha in 2024, accompanied by shoreline erosion at a rate of 3.07 m/yr. This loss was associated with reduced suspended sediment concentration and persistent high wave energy. In contrast, Tung Chung’s mangrove area expanded from 3.28 ha to 3.59 ha, with shoreline accretion at 0.85 m/yr, supported by moderate wave dynamics and higher sediment availability. These findings underscore the value of 10 m resolution Sentinel-2 MSI imagery for historical mangrove mapping, providing critical insights for targeted conservation and management strategies.
{"title":"Mask R-CNN-based detection and segmentation of Mangrove ecosystems in Lantau Island, Hong Kong","authors":"Renjie Wu , Zhijun Dai , Xuefei Mei , Chuqi Long , Diankai Wang , Jie Wang , Jinping Cheng","doi":"10.1016/j.tfp.2026.101146","DOIUrl":"10.1016/j.tfp.2026.101146","url":null,"abstract":"<div><div>Mangroves play a crucial role in coastal protection and biodiversity but face escalating threats from anthropogenic pressures and climate-driven disturbances. Long-term monitoring remains challenging due to mangrove fragmentation and limited high-resolution historical data. This study presents a deep learning–based approach for mangrove identification, leveraging cloud-free Sentinel-2 MSI imagery (10 m resolution) and Mask R-CNN to map and analyze mangrove dynamics on Lantau Island, Hong Kong, from 2016 to 2024. The model integrates surface reflectance bands, spectral indices (EVI, LSWI, MVI), and elevation data, achieving high accuracy (mean absolute percentage error: 6.91%; root mean square error: 0.04 × 10⁴ ha). Multi-source validation demonstrated its strong generalization capacity across global mangrove ecosystems. Spatiotemporal analysis revealed divergent trends in two key mangrove stands. In Shui Hau, mangrove area declined continuously from 0.77 ha in 2016 to 0.39 ha in 2024, accompanied by shoreline erosion at a rate of 3.07 m/yr. This loss was associated with reduced suspended sediment concentration and persistent high wave energy. In contrast, Tung Chung’s mangrove area expanded from 3.28 ha to 3.59 ha, with shoreline accretion at 0.85 m/yr, supported by moderate wave dynamics and higher sediment availability. These findings underscore the value of 10 m resolution Sentinel-2 MSI imagery for historical mangrove mapping, providing critical insights for targeted conservation and management strategies.</div></div>","PeriodicalId":36104,"journal":{"name":"Trees, Forests and People","volume":"23 ","pages":"Article 101146"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01DOI: 10.1016/j.tfp.2025.101141
Arnaldo Marques , Teresa Cervera , Teresa Baiges , Pere Casals , Mario Beltrán , Lluís Coll , Miquel de Cáceres , Alejandra Morán-Ordóñez , Aitor Ameztegui
Forest management is crucial for climate change mitigation, particularly in Mediterranean forests, which serve as significant carbon pools but face increasing climate threats. This study assesses the impact of different forest management strategies on the carbon balance of Mediterranean forests in Catalonia (NE Spain) under two climate scenarios (RCP 4.5 and RCP 8.5). We simulate forest dynamics over 100 years and apply a Life Cycle Assessment approach to quantify carbon fluxes associated with four contrasting management strategies: (i) Business-as-usual, (ii) Promotion of wood energy, (iii) Carbon storage, and (iv) Ecohydrological-based management. Our results indicate that management strongly influences the carbon balance, often outweighing the effect of climate change. The carbon storage scenario exhibited the highest net sequestration due to extended rotations and the production of long-lived wood products, while the Promotion of wood energy scenario led to higher emissions, resulting in carbon losses in low-productivity Pinus nigra forests. Manufacturing dominated emissions (50–75%), while forest growth accounted for most uptake (77%). Our findings indicate that climate-smart forestry in Mediterranean landscapes should prioritize strategies that balance productivity, resilience, and carbon storage. Ecohydrological management stands out as a scalable pathway for the fragmented private forests typical of the region, while carbon-storage practices may be selectively applied in productive and well-protected stands.
{"title":"Impacts of forest management and climate change on carbon emissions in Mediterranean forests","authors":"Arnaldo Marques , Teresa Cervera , Teresa Baiges , Pere Casals , Mario Beltrán , Lluís Coll , Miquel de Cáceres , Alejandra Morán-Ordóñez , Aitor Ameztegui","doi":"10.1016/j.tfp.2025.101141","DOIUrl":"10.1016/j.tfp.2025.101141","url":null,"abstract":"<div><div>Forest management is crucial for climate change mitigation, particularly in Mediterranean forests, which serve as significant carbon pools but face increasing climate threats. This study assesses the impact of different forest management strategies on the carbon balance of Mediterranean forests in Catalonia (NE Spain) under two climate scenarios (RCP 4.5 and RCP 8.5). We simulate forest dynamics over 100 years and apply a Life Cycle Assessment approach to quantify carbon fluxes associated with four contrasting management strategies: (i) Business-as-usual, (ii) Promotion of wood energy, (iii) Carbon storage, and (iv) Ecohydrological-based management. Our results indicate that management strongly influences the carbon balance, often outweighing the effect of climate change. The <em>carbon storage</em> scenario exhibited the highest net sequestration due to extended rotations and the production of long-lived wood products, while the <em>Promotion of wood energy</em> scenario led to higher emissions, resulting in carbon losses in low-productivity <em>Pinus nigra</em> forests. Manufacturing dominated emissions (50–75%), while forest growth accounted for most uptake (77%). Our findings indicate that climate-smart forestry in Mediterranean landscapes should prioritize strategies that balance productivity, resilience, and carbon storage. Ecohydrological management stands out as a scalable pathway for the fragmented private forests typical of the region, while carbon-storage practices may be selectively applied in productive and well-protected stands.</div></div>","PeriodicalId":36104,"journal":{"name":"Trees, Forests and People","volume":"23 ","pages":"Article 101141"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01DOI: 10.1016/j.tfp.2026.101155
Gaurav Dhungel , Justin Baker , Jesse D. Henderson
Forest resources in the eastern US are located on heterogeneous landscapes with widely varying biophysical, social, and market characteristics. As such, the total inventory is rarely available for harvest within a region. Understanding the distinction between physical timber inventory and accessible inventory is crucial for conducting market analyses, developing forward-looking resource assessments, estimating the extractive (“active”) resource base, and, in general, ensuring the continued, sustainable flow of timber. To this end, we employ a mix of regression and spatial analysis to estimate and visualize timber and carbon accessibility on eastern forest land in the US – and how species-specific estimates vary, in our case, white oak (Quercus alba). The logistic regression shows that all seven biophysical and social characteristics, i.e., site physiography, productivity, slope, road distance, amenity value, ownership, and past harvest experience, significantly explain the lack of harvest/management decisions on forested lands in the eastern US. The subsequent spatial analysis illustrates that the higher timber accessibility spots/timber basins are mostly concentrated in the coastal Atlantic plains, gulf coast of the Southeast, and most of Maine, whereas the lower timber accessibility spots/timber basins are largely concentrated along the mountainous region of the Appalachia, the Ozarks, Ouachita, parts of the upper Midwest, and drier parts of west Texas. Results of this study have important applications and implications for timber supply models, policies, programs, and services that affect eastern forest land, and the benefits accrued from these forests, particularly concerns related to timber accessibility, white oak sustainability, and carbon additionality.
{"title":"Physical presence, practical absence: Accessibility of timber inventory in the eastern US","authors":"Gaurav Dhungel , Justin Baker , Jesse D. Henderson","doi":"10.1016/j.tfp.2026.101155","DOIUrl":"10.1016/j.tfp.2026.101155","url":null,"abstract":"<div><div>Forest resources in the eastern US are located on heterogeneous landscapes with widely varying biophysical, social, and market characteristics. As such, the total inventory is rarely available for harvest within a region. Understanding the distinction between physical timber inventory and accessible inventory is crucial for conducting market analyses, developing forward-looking resource assessments, estimating the extractive (“active”) resource base, and, in general, ensuring the continued, sustainable flow of timber. To this end, we employ a mix of regression and spatial analysis to estimate and visualize timber and carbon accessibility on eastern forest land in the US – and how species-specific estimates vary, in our case, white oak (<em>Quercus alba</em>). The logistic regression shows that all seven biophysical and social characteristics, i.e., site physiography, productivity, slope, road distance, amenity value, ownership, and past harvest experience, significantly explain the lack of harvest/management decisions on forested lands in the eastern US. The subsequent spatial analysis illustrates that the higher timber accessibility spots/timber basins are mostly concentrated in the coastal Atlantic plains, gulf coast of the Southeast, and most of Maine, whereas the lower timber accessibility spots/timber basins are largely concentrated along the mountainous region of the Appalachia, the Ozarks, Ouachita, parts of the upper Midwest, and drier parts of west Texas. Results of this study have important applications and implications for timber supply models, policies, programs, and services that affect eastern forest land, and the benefits accrued from these forests, particularly concerns related to timber accessibility, white oak sustainability, and carbon additionality.</div></div>","PeriodicalId":36104,"journal":{"name":"Trees, Forests and People","volume":"23 ","pages":"Article 101155"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01DOI: 10.1016/j.tfp.2025.101115
Zhikun Yang , Houji Liu , Lijun Zhu , Jie Wang , Juntuan Zhai , Xuefei Guo , Zhijun Li
It is essential to accurately assess the carbon sink of Populus euphratica Oliv. (P. euphratica) forests, given their long-term sequestration ability, to understand the carbon balance in arid zones, yet quantitative studies are still lacking globally. This study applied an optimised Carnegie–Ames–Stanford Approach (CASA) incorporating biomass and unmanned aerial vehicle (UAV) data to examine the spatiotemporal heterogeneity of the net ecosystem productivity (NEP) in China’s P. euphratica forests during 2000–2023 and to analyse the impacts of climatic factors, Ecological Water Conveyance (EWC) and land-use changes. Results show that: (1) overall, NEP demonstrated a volatile upward trend notwithstanding a post-2017 downturn, with seasonal maxima in summer and minima in winter; (2) significant spatiotemporal heterogeneity in NEP was observed, with contrasting trends of increase in the Tarim, Aksu, and Heihe River basins but decrease in the lower Qarqan River; (3) human activities have now surpassed climatic factors as the primary driver of increased NEP in poplar forests, with EWC benefiting 90 % of the implementation areas; (4) the cumulative NEP of China's P. euphratica forests increased by 1200.38 Gg C over the last 20 years, largely attributable to land-use change from unused land to P. euphratica forests and cropland. This research provides a robust NEP estimation, clarifies its spatiotemporal patterns and driving mechanisms, and demonstrates that poplar forests serve as significant carbon sinks in arid regions. These findings support the development of evidence-based conservation strategies and China’s ‘dual carbon’ goals.
{"title":"Spatiotemporal variations and driving mechanisms of carbon sinks in Populus euphratica Oliv. forests in China from 2000 to 2023","authors":"Zhikun Yang , Houji Liu , Lijun Zhu , Jie Wang , Juntuan Zhai , Xuefei Guo , Zhijun Li","doi":"10.1016/j.tfp.2025.101115","DOIUrl":"10.1016/j.tfp.2025.101115","url":null,"abstract":"<div><div>It is essential to accurately assess the carbon sink of <em>Populus euphratica</em> Oliv. (<em>P. euphratica</em>) forests, given their long-term sequestration ability, to understand the carbon balance in arid zones, yet quantitative studies are still lacking globally. This study applied an optimised Carnegie–Ames–Stanford Approach (CASA) incorporating biomass and unmanned aerial vehicle (UAV) data to examine the spatiotemporal heterogeneity of the net ecosystem productivity (NEP) in China’s <em>P. euphratica</em> forests during 2000–2023 and to analyse the impacts of climatic factors, Ecological Water Conveyance (EWC) and land-use changes. Results show that: (1) overall, NEP demonstrated a volatile upward trend notwithstanding a post-2017 downturn, with seasonal maxima in summer and minima in winter; (2) significant spatiotemporal heterogeneity in NEP was observed, with contrasting trends of increase in the Tarim, Aksu, and Heihe River basins but decrease in the lower Qarqan River; (3) human activities have now surpassed climatic factors as the primary driver of increased NEP in poplar forests, with EWC benefiting 90 % of the implementation areas; (4) the cumulative NEP of China's <em>P. euphratica</em> forests increased by 1200.38 Gg C over the last 20 years, largely attributable to land-use change from unused land to <em>P. euphratica</em> forests and cropland. This research provides a robust NEP estimation, clarifies its spatiotemporal patterns and driving mechanisms, and demonstrates that poplar forests serve as significant carbon sinks in arid regions. These findings support the development of evidence-based conservation strategies and China’s ‘dual carbon’ goals.</div></div>","PeriodicalId":36104,"journal":{"name":"Trees, Forests and People","volume":"23 ","pages":"Article 101115"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01DOI: 10.1016/j.tfp.2025.101135
Shun Li , Guowei He , Wenru Xu , Yuanyuan Fu , Chao Huang , Zhichao Huang , Ting Wu , Hong S. He , Zhiwei Wu , Fusheng Chen
Droughts are increasing in frequency and intensity, reducing photosynthesis and causing tree mortality, thereby weakening the boreal forest’s ability to act as a carbon sink. They also indirectly amplify the frequency and severity of wildfires, further affecting the carbon dynamics of boreal forests. We developed a model-coupling framework integrating species-specific drought sensitivity, wildfire dynamics, and forest succession to simulate the carbon dynamics of boreal forests in Northeast China over the 21st century. Our results show that drought substantially increases tree mortality and limits carbon sequestration. Accumulated fuel loads expand burned area and elevate fire severity. Drought-fire synergy offsets carbon sink gains from vegetation recovery and fire suppression, and they double interannual variability in the regional carbon budget. Under the ssp5–8.5 scenarios, boreal forests intermittently shift from a carbon sink to a source in the late 21st century. This study emphasizes the importance of considering synergistic drought-fire interactions explicitly when examining the effects of climate change on carbon dynamics of boreal forests. To mitigate these synergies, adaptive forest management should prioritize fuel load reduction measures (e.g., thinning or prescribed burning) and the promotion of drought-resistant tree species, thereby effectively reducing the probability of catastrophic wildfires and enhancing the long-term stability and carbon sequestration of boreal forests.
{"title":"Drought-wildfire synergy drives carbon-source transition and amplifies carbon budget uncertainty of boreal forests in Northeast China","authors":"Shun Li , Guowei He , Wenru Xu , Yuanyuan Fu , Chao Huang , Zhichao Huang , Ting Wu , Hong S. He , Zhiwei Wu , Fusheng Chen","doi":"10.1016/j.tfp.2025.101135","DOIUrl":"10.1016/j.tfp.2025.101135","url":null,"abstract":"<div><div>Droughts are increasing in frequency and intensity, reducing photosynthesis and causing tree mortality, thereby weakening the boreal forest’s ability to act as a carbon sink. They also indirectly amplify the frequency and severity of wildfires, further affecting the carbon dynamics of boreal forests. We developed a model-coupling framework integrating species-specific drought sensitivity, wildfire dynamics, and forest succession to simulate the carbon dynamics of boreal forests in Northeast China over the 21<sup>st</sup> century. Our results show that drought substantially increases tree mortality and limits carbon sequestration. Accumulated fuel loads expand burned area and elevate fire severity. Drought-fire synergy offsets carbon sink gains from vegetation recovery and fire suppression, and they double interannual variability in the regional carbon budget. Under the ssp5–8.5 scenarios, boreal forests intermittently shift from a carbon sink to a source in the late 21<sup>st</sup> century. This study emphasizes the importance of considering synergistic drought-fire interactions explicitly when examining the effects of climate change on carbon dynamics of boreal forests. To mitigate these synergies, adaptive forest management should prioritize fuel load reduction measures (e.g., thinning or prescribed burning) and the promotion of drought-resistant tree species, thereby effectively reducing the probability of catastrophic wildfires and enhancing the long-term stability and carbon sequestration of boreal forests.</div></div>","PeriodicalId":36104,"journal":{"name":"Trees, Forests and People","volume":"23 ","pages":"Article 101135"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Massive deforestation and forest degradation have been observed in the inner Congo basin in the last decades. While agricultural expansion onto forest land is widely recognized as the main driver of deforestation, local dynamics and social drivers remain understudied. This study investigates both the forest cover dynamics monitored from satellite products and the agricultural practices from household interviews across the Tshopo, the largest province of the Democratic Republic of the Congo (DRC). We combined satellite-based forest cover data (Tropical Moist Forest dataset, 1990–2023) with household surveys (n = 850) around Kisangani, the provincial capital, and up to 150 km along the six main road axes. Between 1990 and 2023, 9.7 % of mature tropical moist forest — corresponding to 1905,800 ha — was lost across the Tshopo province, being deforested, degraded, or disturbed. Deforestation accelerated since 2010, and the spatial pattern indicates urban expansion, and agricultural encroachment into forests. Household interviews confirm that small-scale farming is the dominant agricultural system in the region (94 % of respondents), with fields mostly installed on fallow land. The food crops such as cassava, rice, maize and bananas are predominant and perennial crops such as oil palms, cocoa and coffee are less common. Geographical and production factors, namely proximity to Kisangani city and household economic capital, are the main determinants of agricultural practices in the Tshopo. Although individual small-scale farming has a limited impact on forest cover (only 11 % of food crop fields and 8 % of perennial crop plantations are established on mature forest lands), the cumulative effect of seasonal land conversion is substantial. Household-level deforestation (349 ha per cropping season for 850 households) extrapolated to approximately 195,000 ha of mature forest cleared annually across the province. Given the high level of human impact and poverty in the region, it is crucial to promote sustainable agricultural practices that increase productivity without encroaching on mature forests, considering the diversity of producer profiles, in a context of high instability.
{"title":"Dynamics and determinants of forest cover changes in the inner Congo basin","authors":"Lisette Mangaza , Germain Batsi , Adrien Peroches , Claire Masson , Denis Jean Sonwa , Simon Lhoest , Jean-Remy Makana , Wannes Hubau , Philipe Lejeune , Adeline Fayolle","doi":"10.1016/j.tfp.2025.101126","DOIUrl":"10.1016/j.tfp.2025.101126","url":null,"abstract":"<div><div>Massive deforestation and forest degradation have been observed in the inner Congo basin in the last decades. While agricultural expansion onto forest land is widely recognized as the main driver of deforestation, local dynamics and social drivers remain understudied. This study investigates both the forest cover dynamics monitored from satellite products and the agricultural practices from household interviews across the Tshopo, the largest province of the Democratic Republic of the Congo (DRC). We combined satellite-based forest cover data (Tropical Moist Forest dataset, 1990–2023) with household surveys (<em>n</em> = 850) around Kisangani, the provincial capital, and up to 150 km along the six main road axes. Between 1990 and 2023, 9.7 % of mature tropical moist forest — corresponding to 1905,800 ha — was lost across the Tshopo province, being deforested, degraded, or disturbed. Deforestation accelerated since 2010, and the spatial pattern indicates urban expansion, and agricultural encroachment into forests. Household interviews confirm that small-scale farming is the dominant agricultural system in the region (94 % of respondents), with fields mostly installed on fallow land. The food crops such as cassava, rice, maize and bananas are predominant and perennial crops such as oil palms, cocoa and coffee are less common. Geographical and production factors, namely proximity to Kisangani city and household economic capital, are the main determinants of agricultural practices in the Tshopo. Although individual small-scale farming has a limited impact on forest cover (only 11 % of food crop fields and 8 % of perennial crop plantations are established on mature forest lands), the cumulative effect of seasonal land conversion is substantial. Household-level deforestation (349 ha per cropping season for 850 households) extrapolated to approximately 195,000 ha of mature forest cleared annually across the province. Given the high level of human impact and poverty in the region, it is crucial to promote sustainable agricultural practices that increase productivity without encroaching on mature forests, considering the diversity of producer profiles, in a context of high instability.</div></div>","PeriodicalId":36104,"journal":{"name":"Trees, Forests and People","volume":"23 ","pages":"Article 101126"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study investigates the drivers of sustainable agricultural practices (SAPs) adoption in Morocco by using Partial Least Squares Structural Equation Modeling (PLS-SEM) on survey data from 402 farmers. The model examines the effects of attitudes (AT), subjective norms (SN), perceived behavioral control (PBC), and knowledge (KN) on actual adoption behavior. The results show that attitude is the strongest positive predictor of SAP adoption, while knowledge contributes indirectly by shaping attitudes. Subjective norms also influence adoption, although their effect is modest and negative, suggesting that farmers may perceive caution or mixed messages regarding SAP use. Perceived behavioral control does not significantly affect adoption in this context.
The findings highlight the importance of psychological and social processes in shaping farmers’ decisions and demonstrate that technical knowledge alone is insufficient to drive behavioral change. Clear policy implications emerge from this analysis. Extension programs should prioritize strengthening positive attitudes by showcasing local demonstrations, communicating tangible benefits, and offering risk-reducing incentives. Farmer training initiatives should integrate social learning mechanisms, such as peer-to-peer exchanges and cooperative-based activities, to leverage community influence and ensure equitable access to information. Policymakers seeking to scale SAP uptake should therefore invest in both informational outreach and social infrastructure, recognizing that behavior change in agriculture is fundamentally shaped by farmers’ beliefs, motivations, and social environments.
{"title":"Exploring behavioral determinants of sustainable agricultural practices adoption in Morocco: Evidence from PLS-SEM","authors":"Soufiane Bouyghrissi , Maha Khanniba , Hanaa Touloub , Mohamed Torra , Omar Kharbouch","doi":"10.1016/j.tfp.2025.101143","DOIUrl":"10.1016/j.tfp.2025.101143","url":null,"abstract":"<div><div>This study investigates the drivers of sustainable agricultural practices (SAPs) adoption in Morocco by using Partial Least Squares Structural Equation Modeling (PLS-SEM) on survey data from 402 farmers. The model examines the effects of attitudes (AT), subjective norms (SN), perceived behavioral control (PBC), and knowledge (KN) on actual adoption behavior. The results show that attitude is the strongest positive predictor of SAP adoption, while knowledge contributes indirectly by shaping attitudes. Subjective norms also influence adoption, although their effect is modest and negative, suggesting that farmers may perceive caution or mixed messages regarding SAP use. Perceived behavioral control does not significantly affect adoption in this context.</div><div>The findings highlight the importance of psychological and social processes in shaping farmers’ decisions and demonstrate that technical knowledge alone is insufficient to drive behavioral change. Clear policy implications emerge from this analysis. Extension programs should prioritize strengthening positive attitudes by showcasing local demonstrations, communicating tangible benefits, and offering risk-reducing incentives. Farmer training initiatives should integrate social learning mechanisms, such as peer-to-peer exchanges and cooperative-based activities, to leverage community influence and ensure equitable access to information. Policymakers seeking to scale SAP uptake should therefore invest in both informational outreach and social infrastructure, recognizing that behavior change in agriculture is fundamentally shaped by farmers’ beliefs, motivations, and social environments.</div></div>","PeriodicalId":36104,"journal":{"name":"Trees, Forests and People","volume":"23 ","pages":"Article 101143"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01DOI: 10.1016/j.tfp.2025.101142
Lu Yan , Chaohao Xu , Cong Hu , Chaofang Zhong , Zhonghua Zhang , Gang Hu
Understanding the ecological stoichiometry of soil nutrients and their drivers is essential for managing forest ecosystems, particularly in highly heterogeneous landscapes, such as karst forests. However, the effects of topography and forest attributes on soil carbon (C), nitrogen (N), and phosphorus (P) stoichiometry in these ecosystems remain unclear. This study investigated the influence of topographic conditions and forest attributes on the contents and stoichiometric ratios of C, N, and P in the surface soils (0–10 cm) of species-rich subtropical karst forests in China. The results showed that topography dominated the variability in total nitrogen (TN) and total phosphorus (TP) contents and their stoichiometry. TN and TP increased by 0.51 % and 0.97 %, respectively, per 1 % increase in rock exposure rate (RER), but decreased by 0.46 % and 1.79 % per 1-m rise in elevation (ELE). In contrast, the C:N, C:P, and N:P ratios exhibited opposite trends. The soil organic carbon (SOC) was not significantly affected by topography. Forest attributes showed limited influence, explaining only 6.02 % of the total variance in soil C:N:P stoichiometry. SOC and TN increased with the nearest taxon index (NTI), while the C:N and C:P ratios declined with the Shannon–Wiener diversity index. Correlation analyses revealed significant associations among topographic variables (ELE, RER, and aspect), forest attributes (Pielou’s evenness, NTI, and mean DBH), and soil C:N:P stoichiometry. The redundancy analysis revealed that topography accounted for a greater proportion of the variance (35.21 %) than forest attributes (6.02 %), with ELE, RER, and slope contributing 19.22 %, 10.98 %, and 3.18 %, respectively. These findings highlight that topographic conditions rather than forest characteristics are the primary drivers of soil C:N:P stoichiometric patterns in heterogeneous karst forests. This information is critical for guiding effective forest management and restoration strategies in karst regions.
{"title":"Topography determines soil C:N:P stoichiometry more than forest attributes in heterogeneous subtropical karst forests","authors":"Lu Yan , Chaohao Xu , Cong Hu , Chaofang Zhong , Zhonghua Zhang , Gang Hu","doi":"10.1016/j.tfp.2025.101142","DOIUrl":"10.1016/j.tfp.2025.101142","url":null,"abstract":"<div><div>Understanding the ecological stoichiometry of soil nutrients and their drivers is essential for managing forest ecosystems, particularly in highly heterogeneous landscapes, such as karst forests. However, the effects of topography and forest attributes on soil carbon (C), nitrogen (N), and phosphorus (P) stoichiometry in these ecosystems remain unclear. This study investigated the influence of topographic conditions and forest attributes on the contents and stoichiometric ratios of C, N, and P in the surface soils (0–10 cm) of species-rich subtropical karst forests in China. The results showed that topography dominated the variability in total nitrogen (TN) and total phosphorus (TP) contents and their stoichiometry. TN and TP increased by 0.51 % and 0.97 %, respectively, per 1 % increase in rock exposure rate (RER), but decreased by 0.46 % and 1.79 % per 1-m rise in elevation (ELE). In contrast, the C:N, C:P, and N:P ratios exhibited opposite trends. The soil organic carbon (SOC) was not significantly affected by topography. Forest attributes showed limited influence, explaining only 6.02 % of the total variance in soil C:N:P stoichiometry. SOC and TN increased with the nearest taxon index (NTI), while the C:N and C:P ratios declined with the Shannon–Wiener diversity index. Correlation analyses revealed significant associations among topographic variables (ELE, RER, and aspect), forest attributes (Pielou’s evenness, NTI, and mean DBH), and soil C:N:P stoichiometry. The redundancy analysis revealed that topography accounted for a greater proportion of the variance (35.21 %) than forest attributes (6.02 %), with ELE, RER, and slope contributing 19.22 %, 10.98 %, and 3.18 %, respectively. These findings highlight that topographic conditions rather than forest characteristics are the primary drivers of soil C:N:P stoichiometric patterns in heterogeneous karst forests. This information is critical for guiding effective forest management and restoration strategies in karst regions.</div></div>","PeriodicalId":36104,"journal":{"name":"Trees, Forests and People","volume":"23 ","pages":"Article 101142"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01DOI: 10.1016/j.tfp.2025.101137
Yuhang Wang , Qi Liu , Xiafei Zhou , Wanyu Wen , Minghao Gong , Yaojun Zhu
Mangrove litterfall represents a major pathway of energy and nutrient flux, yet species-specific and organ-specific climatic responses remain insufficiently understood. This study quantified litterfall dynamic of three dominant mangrove species—Avicennia marina, Bruguiera gymnorhiza, and Rhizophora stylosa—compared fresh and dry organ-level phenology, and identified climatic drivers of species- and organ-specific litterfall patterns. Litterfall was monitored sub-monthly for two years (2023–2024) in mature subtropical stands and partitioned into leaves, flowers, propagules, and branches. Across species, annual fresh litterfall ranged from 1675.39 g m⁻²·in A. marina to 2998.74 g m⁻²·in B. gymnorhiza, with leaves contributing over 60% of total biomass. B. gymnorhiza and R. stylosa consistently produced more litterfall than A. marina. Pronounced interspecific differences were observed: B. gymnorhiza exhibited the strongest seasonality with sharp mid-year peaks, whereas R. stylosa maintained relatively stable production year-round. Leaf and flower litterfall showed asynchronous seasonal patterns across species, while propagule and branch litterfall displayed distinctly staggered reproductive and structural turnover cycles. To examine climatic effects, we employed Bayesian generalized additive mixed models (GAMMs), which capture nonlinear climate–litterfall relationships and account for hierarchical variation among species and organs. The models revealed clear functional differentiation in climatic sensitivity. Temperature positively influenced leaf and flower litterfall, particularly above 28 °C. Precipitation showed unimodal effects, and maximum wind speed strongly promoted flower and propagule litterfall, especially in A. marina and R. stylosa. Relative humidity had generally minor effects. Leaf litterfall showed the strongest climatic response, while branch litterfall was least sensitive. Overall, this study highlights contrasting phenological rhythms and climatic sensitivities among coexisting mangrove species and provide insights to support mangrove restoration, carbon accounting, and climate adaptation in subtropical coastal ecosystems.
红树林凋落物是能量和养分流动的主要途径,但物种特异性和器官特异性气候反应仍未得到充分了解。本研究量化了三种优势红树林(avicennia marina、Bruguiera gymnorhiza和Rhizophora stylosa)的凋落物动态,比较了新鲜和干燥器官水平的物候特征,并确定了物种和器官特异性凋落物模式的气候驱动因素。2023-2024年对亚热带成熟林分的凋落物进行了分月监测,并将凋落物分为叶、花、繁殖体和枝。在不同的物种中,每年的新鲜凋落物从A. marina的1675.39 g m⁻²·到B. gymnorhiza的2998.74 g m⁻²·不等,其中叶子贡献了总生物量的60%以上。金毛草和柱头草的凋落物产量始终高于金毛草。不同种间差异显著:木犀草的季节性最强,年中产量高峰明显,而茎柱草全年产量相对稳定。不同物种的叶、花凋落物表现出不同步的季节特征,而繁殖体和枝凋落物表现出明显交错的繁殖周期和结构周转周期。为了研究气候效应,我们采用了贝叶斯广义加性混合模型(GAMMs),该模型捕捉了非线性气候-凋落物关系,并解释了物种和器官之间的等级差异。这些模型揭示了气候敏感性的明显功能分化。温度对叶和花凋落物有积极影响,特别是在28°C以上。降水表现出单峰效应,最大风速对花凋落量和繁殖体凋落量的促进作用最大,尤以金针花和柱头草为明显。相对湿度的影响一般较小。叶凋落物对气候的响应最强烈,枝凋落物对气候的响应最不敏感。总的来说,本研究突出了共存红树林物种之间的物候节律和气候敏感性的对比,并为支持亚热带沿海生态系统的红树林恢复、碳核算和气候适应提供了见解。
{"title":"How does climate influence mangrove litterfall production across different species? A case study in Zhanjiang, China","authors":"Yuhang Wang , Qi Liu , Xiafei Zhou , Wanyu Wen , Minghao Gong , Yaojun Zhu","doi":"10.1016/j.tfp.2025.101137","DOIUrl":"10.1016/j.tfp.2025.101137","url":null,"abstract":"<div><div>Mangrove litterfall represents a major pathway of energy and nutrient flux, yet species-specific and organ-specific climatic responses remain insufficiently understood. This study quantified litterfall dynamic of three dominant mangrove species—<em>Avicennia marina, Bruguiera gymnorhiza</em>, and <em>Rhizophora stylosa</em>—compared fresh and dry organ-level phenology, and identified climatic drivers of species- and organ-specific litterfall patterns. Litterfall was monitored sub-monthly for two years (2023–2024) in mature subtropical stands and partitioned into leaves, flowers, propagules, and branches. Across species, annual fresh litterfall ranged from 1675.39 g m⁻²·in <em>A. marina</em> to 2998.74 g m⁻²·in <em>B. gymnorhiza</em>, with leaves contributing over 60% of total biomass. <em>B. gymnorhiza</em> and <em>R. stylosa</em> consistently produced more litterfall than <em>A. marina</em>. Pronounced interspecific differences were observed: <em>B. gymnorhiza</em> exhibited the strongest seasonality with sharp mid-year peaks, whereas <em>R. stylosa</em> maintained relatively stable production year-round. Leaf and flower litterfall showed asynchronous seasonal patterns across species, while propagule and branch litterfall displayed distinctly staggered reproductive and structural turnover cycles. To examine climatic effects, we employed Bayesian generalized additive mixed models (GAMMs), which capture nonlinear climate–litterfall relationships and account for hierarchical variation among species and organs. The models revealed clear functional differentiation in climatic sensitivity. Temperature positively influenced leaf and flower litterfall, particularly above 28 °C. Precipitation showed unimodal effects, and maximum wind speed strongly promoted flower and propagule litterfall, especially in <em>A. marina</em> and <em>R. stylosa</em>. Relative humidity had generally minor effects. Leaf litterfall showed the strongest climatic response, while branch litterfall was least sensitive. Overall, this study highlights contrasting phenological rhythms and climatic sensitivities among coexisting mangrove species and provide insights to support mangrove restoration, carbon accounting, and climate adaptation in subtropical coastal ecosystems.</div></div>","PeriodicalId":36104,"journal":{"name":"Trees, Forests and People","volume":"23 ","pages":"Article 101137"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}