Pub Date : 2026-04-01Epub Date: 2025-11-04DOI: 10.1016/j.fecs.2025.100405
Man Hu , Hang Shi , Rui He , Nana Wang , Yuzhen Han , Haishan Dang , Quanfa Zhang
Understanding the patterns and drivers of biomass allocation among organs at a broad scale is crucial for predicting the responses of plant growth and carbon sequestration to environmental change. However, the extent to which the general rules govern these patterns and the key factors affecting biomass allocation remain poorly understood. Using a global dataset of 239 tree species, we tested the two prevailing theories (i.e., the allometric partitioning theory (APT) and the optimal partitioning theory (OPT)) by investigating the scaling relationships between plant organs and how environmental factors and phylogeny shape the patterns of biomass allocation. Our results generally support APT at the global scale, with variations in biomass allocation patterns explained by OPT. As plant size increased, a significant shift in biomass allocation from leaves to roots and stems, as well as from roots to stems, was observed. Specific environmental factors (including temperature, precipitation variables, and soil properties) significantly influenced biomass allocation with distinct patterns in the angiosperms and gymnosperms, even when the allometric effects were taken into account. We conclude that tree biomass allocation among organs (i.e., the ratios of leaf to stem, leaf to root, stem to root, and aboveground to belowground) is governed by allometry but modulated by optimization at the global scale. Our findings highlight the importance of considering both the ontogenetic and environmental effects in predicting the responses of biomass sequestration to phylogenetic and environmental factors.
{"title":"Tree biomass allocation is governed by allometry but modulated by optimization","authors":"Man Hu , Hang Shi , Rui He , Nana Wang , Yuzhen Han , Haishan Dang , Quanfa Zhang","doi":"10.1016/j.fecs.2025.100405","DOIUrl":"10.1016/j.fecs.2025.100405","url":null,"abstract":"<div><div>Understanding the patterns and drivers of biomass allocation among organs at a broad scale is crucial for predicting the responses of plant growth and carbon sequestration to environmental change. However, the extent to which the general rules govern these patterns and the key factors affecting biomass allocation remain poorly understood. Using a global dataset of 239 tree species, we tested the two prevailing theories (i.e., the allometric partitioning theory (APT) and the optimal partitioning theory (OPT)) by investigating the scaling relationships between plant organs and how environmental factors and phylogeny shape the patterns of biomass allocation. Our results generally support APT at the global scale, with variations in biomass allocation patterns explained by OPT. As plant size increased, a significant shift in biomass allocation from leaves to roots and stems, as well as from roots to stems, was observed. Specific environmental factors (including temperature, precipitation variables, and soil properties) significantly influenced biomass allocation with distinct patterns in the angiosperms and gymnosperms, even when the allometric effects were taken into account. We conclude that tree biomass allocation among organs (i.e., the ratios of leaf to stem, leaf to root, stem to root, and aboveground to belowground) is governed by allometry but modulated by optimization at the global scale. Our findings highlight the importance of considering both the ontogenetic and environmental effects in predicting the responses of biomass sequestration to phylogenetic and environmental factors.</div></div>","PeriodicalId":54270,"journal":{"name":"Forest Ecosystems","volume":"15 ","pages":"Article 100405"},"PeriodicalIF":4.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145528314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-04-01Epub Date: 2025-10-24DOI: 10.1016/j.fecs.2025.100396
James A. Westfall
When making assessments of forest resources, there is nearly ubiquitous interest in quantifying current status and trends in tree biomass and carbon stocks. While important at various spatial scales, typical estimations pertinent to broad forest management and policy issues are conducted for large areas such as state, regional, and national perspectives. These assessments are usually accomplished using large-area forest inventory data collected by National Forest Inventory (NFI) programs. While NFI efforts commonly collect size data for individual trees, there is often limited information for tree seedlings, e.g., frequency by species. To fully describe the tree population across the entire range of sizes present, this study proposes methods to predict individual seedling groundline diameter and height using models developed from trees having a diameter at breast height (DBH) less than 7.62 cm. These attributes are subsequently used for the prediction of seedling stem volume, total aboveground biomass, and carbon content. The results suggest a smooth transition in tree attributes as size increases to where direct measurement of individual trees and prediction of their volume, biomass, and carbon are implemented as part of standard inventory protocols. Analyses including the full spectrum of tree sizes show that seedlings contribute roughly 0.6%–0.7% of the total tree volume/mass. This additional suite of information provides opportunities for more holistic assessments across the full spectrum of the tree resource or for specialized subdomains that include the seedling component.
{"title":"Prediction of individual tree seedling volume, biomass, and carbon content via allometric projection","authors":"James A. Westfall","doi":"10.1016/j.fecs.2025.100396","DOIUrl":"10.1016/j.fecs.2025.100396","url":null,"abstract":"<div><div>When making assessments of forest resources, there is nearly ubiquitous interest in quantifying current status and trends in tree biomass and carbon stocks. While important at various spatial scales, typical estimations pertinent to broad forest management and policy issues are conducted for large areas such as state, regional, and national perspectives. These assessments are usually accomplished using large-area forest inventory data collected by National Forest Inventory (NFI) programs. While NFI efforts commonly collect size data for individual trees, there is often limited information for tree seedlings, e.g., frequency by species. To fully describe the tree population across the entire range of sizes present, this study proposes methods to predict individual seedling groundline diameter and height using models developed from trees having a diameter at breast height (DBH) less than 7.62 cm. These attributes are subsequently used for the prediction of seedling stem volume, total aboveground biomass, and carbon content. The results suggest a smooth transition in tree attributes as size increases to where direct measurement of individual trees and prediction of their volume, biomass, and carbon are implemented as part of standard inventory protocols. Analyses including the full spectrum of tree sizes show that seedlings contribute roughly 0.6%–0.7% of the total tree volume/mass. This additional suite of information provides opportunities for more holistic assessments across the full spectrum of the tree resource or for specialized subdomains that include the seedling component.</div></div>","PeriodicalId":54270,"journal":{"name":"Forest Ecosystems","volume":"15 ","pages":"Article 100396"},"PeriodicalIF":4.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145579479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-04-01Epub Date: 2025-09-29DOI: 10.1016/j.fecs.2025.100386
Oscar R. Lanuza , Adrià Descals , Josep M. Espelta , Josep Peñuelas , Guille Peguero
Neotropical forests encompass a diverse array of forest types, each with distinct structures and species compositions shaped by varying soil and climate conditions. Despite their global importance in carbon (C) cycling, their diversity is underrepresented in Earth system models due to our limited understanding of the abiotic and biotic factors influencing above-ground carbon (AGC) and soil organic carbon (SOC) stocks. We conducted a forest inventory across five neotropical forest types—cloud forest (CF), transition forest (TF), riparian forest (RF), pine-oak forest (POF), and tropical dry forest (TDF)—in Nicaragua's Miraflor-Moropotente Protected Landscape (MMPL) to explore these relationships. Across 40 plots, we identified 4,495 trees belonging to 239 species and 62 families, with Fabaceae being the most species-rich. RF exhibited the highest alpha diversity, followed by CF, TF, and TDF, while POF had the lowest. C stocks varied significantly among forest types, averaging 147.8 Mg C·ha−1 for AGC and 46.3 Mg C·ha−1 for SOC. RF and CF stored the most AGC, while TF had the highest SOC. AGC correlated strongly with basal area, species richness, and climatic factors such as precipitation and temperature, while SOC was primarily influenced by soil chemical properties (e.g., total nitrogen, pH) and precipitation. Notably, no significant relationship was found between SOC and AGC. Our C mapping estimated ∼3,700 Gg of C in the MMPL, with TDF covering the largest area and contributing most to AGC. However, RF and CF, despite occupying smaller areas, harbored the highest species richness and disproportionately contributed to AGC. These findings highlight the need to treat the different neotropical forest types as distinct ecosystems and prioritize the conservation and expansion of endangered cloud and RF across the Neotropics.
{"title":"Variation of above-ground tree biomass and soil carbon stocks across neotropical forest types","authors":"Oscar R. Lanuza , Adrià Descals , Josep M. Espelta , Josep Peñuelas , Guille Peguero","doi":"10.1016/j.fecs.2025.100386","DOIUrl":"10.1016/j.fecs.2025.100386","url":null,"abstract":"<div><div>Neotropical forests encompass a diverse array of forest types, each with distinct structures and species compositions shaped by varying soil and climate conditions. Despite their global importance in carbon (C) cycling, their diversity is underrepresented in Earth system models due to our limited understanding of the abiotic and biotic factors influencing above-ground carbon (AGC) and soil organic carbon (SOC) stocks. We conducted a forest inventory across five neotropical forest types—cloud forest (CF), transition forest (TF), riparian forest (RF), pine-oak forest (POF), and tropical dry forest (TDF)—in Nicaragua's Miraflor-Moropotente Protected Landscape (MMPL) to explore these relationships. Across 40 plots, we identified 4,495 trees belonging to 239 species and 62 families, with Fabaceae being the most species-rich. RF exhibited the highest alpha diversity, followed by CF, TF, and TDF, while POF had the lowest. C stocks varied significantly among forest types, averaging 147.8 Mg C·ha<sup>−1</sup> for AGC and 46.3 Mg C·ha<sup>−1</sup> for SOC. RF and CF stored the most AGC, while TF had the highest SOC. AGC correlated strongly with basal area, species richness, and climatic factors such as precipitation and temperature, while SOC was primarily influenced by soil chemical properties (e.g., total nitrogen, pH) and precipitation. Notably, no significant relationship was found between SOC and AGC. Our C mapping estimated ∼3,700 Gg of C in the MMPL, with TDF covering the largest area and contributing most to AGC. However, RF and CF, despite occupying smaller areas, harbored the highest species richness and disproportionately contributed to AGC. These findings highlight the need to treat the different neotropical forest types as distinct ecosystems and prioritize the conservation and expansion of endangered cloud and RF across the Neotropics.</div></div>","PeriodicalId":54270,"journal":{"name":"Forest Ecosystems","volume":"15 ","pages":"Article 100386"},"PeriodicalIF":4.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145579614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-04-01Epub Date: 2026-01-31DOI: 10.1016/j.fecs.2026.100432
Mengli He , Jingyi Yang , Bingxia Zhang , Minglu Guo , Linfeng Zhou , Jingrong Yin
Urbanization-driven habitat fragmentation threatens ecosystem multifunctionality (EMF) in remnant forests through biodiversity erosion. This study investigates the effects of habitat fragmentation on multiple ecosystem functions through analyses of fragmentation metrics, soil properties, and biodiversity across 30 remnant forest patches in Guiyang, China. Key findings reveal distinct drivers in edge and interior habitats. In edge habitats, the proportion and aggregation of impervious surfaces are key predictors of carbon dynamics and nutrient availability. In interior habitats, the contrast of the patch with the surrounding matrix is significantly correlated with carbon pools and phosphorus availability. The regulation of biodiversity involves distinct habitat differentiation, whereby microbial diversity governs pathogen control and carbon turnover at the edges, and plant diversity regulates enzyme activity and pathogen suppression trade-offs in the interior areas. Distinct interactions among ecosystem services are present and include pathogen defense synergies via shared microbial antagonistic networks alongside plant productivity (PP) that enhance microbial carbon pools through root exudates while concurrently boosting virulence control via antimicrobial traits. Conversely, trade-offs arise from resource allocation conflicts in which photosynthate competition occurs between plant growth and organic decomposition as well as opposing moisture requirements for pathogen suppression, which requires low humidity vs. water regulation (WR) demanding high retention. Crucially, habitat fragmentation metrics surpass soil properties and biodiversity in explaining overall EMF variation. Large patches with high core-to-edge ratios suppress edge-habitat EMF through extended disturbance interfaces. The scale-habitat differentiation effects identified in this study can inform conservation priorities focused on safeguarding clustered high-functioning small patches to leverage edge benefits and implementing dispersed development buffers with minimal impervious aggregation to protect interior habitat stability against landscape-scale stressors.
{"title":"Effects of habitat fragmentation on multiple ecosystem functions in urban remnant forests","authors":"Mengli He , Jingyi Yang , Bingxia Zhang , Minglu Guo , Linfeng Zhou , Jingrong Yin","doi":"10.1016/j.fecs.2026.100432","DOIUrl":"10.1016/j.fecs.2026.100432","url":null,"abstract":"<div><div>Urbanization-driven habitat fragmentation threatens ecosystem multifunctionality (EMF) in remnant forests through biodiversity erosion. This study investigates the effects of habitat fragmentation on multiple ecosystem functions through analyses of fragmentation metrics, soil properties, and biodiversity across 30 remnant forest patches in Guiyang, China. Key findings reveal distinct drivers in edge and interior habitats. In edge habitats, the proportion and aggregation of impervious surfaces are key predictors of carbon dynamics and nutrient availability. In interior habitats, the contrast of the patch with the surrounding matrix is significantly correlated with carbon pools and phosphorus availability. The regulation of biodiversity involves distinct habitat differentiation, whereby microbial diversity governs pathogen control and carbon turnover at the edges, and plant diversity regulates enzyme activity and pathogen suppression trade-offs in the interior areas. Distinct interactions among ecosystem services are present and include pathogen defense synergies via shared microbial antagonistic networks alongside plant productivity (PP) that enhance microbial carbon pools through root exudates while concurrently boosting virulence control via antimicrobial traits. Conversely, trade-offs arise from resource allocation conflicts in which photosynthate competition occurs between plant growth and organic decomposition as well as opposing moisture requirements for pathogen suppression, which requires low humidity vs. water regulation (WR) demanding high retention. Crucially, habitat fragmentation metrics surpass soil properties and biodiversity in explaining overall EMF variation. Large patches with high core-to-edge ratios suppress edge-habitat EMF through extended disturbance interfaces. The scale-habitat differentiation effects identified in this study can inform conservation priorities focused on safeguarding clustered high-functioning small patches to leverage edge benefits and implementing dispersed development buffers with minimal impervious aggregation to protect interior habitat stability against landscape-scale stressors.</div></div>","PeriodicalId":54270,"journal":{"name":"Forest Ecosystems","volume":"15 ","pages":"Article 100432"},"PeriodicalIF":4.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-04-01Epub Date: 2026-01-30DOI: 10.1016/j.fecs.2026.100431
Wenjin Cui , Wushuang Li , Juan Wang , Xiuhai Zhao , Chunyu Zhang
Species co-occurrence patterns are widely used to infer the ecological suitability of species that are absent from local communities. However, such approaches are often framed within the concept of dark diversity—defined as the set of species that are ecologically suitable but currently absent from a local community—their predictions reflect different underlying mechanisms related to species co-occurrence and regional frequency. In this study, we compared two co-occurrence-based methods, Beals' index and the hypergeometric method, using vegetation survey data from mixed broadleaved-Korean pine forests (MBKF) across different successional stages in Northeast China. Method performance was assessed by predicting species suitability from co-occurrence patterns and validating predictions against observations from the surrounding area. The results show that both methods effectively assign ordered suitability values consistent with species occurrence status. Beals’ index exhibited higher overall predictive accuracy but showed greater variability among plots. In contrast, the hypergeometric method provided more stable performance and yielded suitability estimates that were ecologically informative for rare species. These findings demonstrate that co-occurrence-based suitability estimates are highly sensitive to the assumptions inherent in each method. Consequently, method selection should be guided by specific research questions and management objectives. Such careful methodological choice is crucial for deriving reliable conclusions and for effectively applying co-occurrence-based approaches in biodiversity assessment and forest management.
{"title":"A comparison of species co-occurrence methods within the dark diversity framework in coniferous-broadleaved mixed forests","authors":"Wenjin Cui , Wushuang Li , Juan Wang , Xiuhai Zhao , Chunyu Zhang","doi":"10.1016/j.fecs.2026.100431","DOIUrl":"10.1016/j.fecs.2026.100431","url":null,"abstract":"<div><div>Species co-occurrence patterns are widely used to infer the ecological suitability of species that are absent from local communities. However, such approaches are often framed within the concept of dark diversity—defined as the set of species that are ecologically suitable but currently absent from a local community—their predictions reflect different underlying mechanisms related to species co-occurrence and regional frequency. In this study, we compared two co-occurrence-based methods, Beals' index and the hypergeometric method, using vegetation survey data from mixed broadleaved-Korean pine forests (MBKF) across different successional stages in Northeast China. Method performance was assessed by predicting species suitability from co-occurrence patterns and validating predictions against observations from the surrounding area. The results show that both methods effectively assign ordered suitability values consistent with species occurrence status. Beals’ index exhibited higher overall predictive accuracy but showed greater variability among plots. In contrast, the hypergeometric method provided more stable performance and yielded suitability estimates that were ecologically informative for rare species. These findings demonstrate that co-occurrence-based suitability estimates are highly sensitive to the assumptions inherent in each method. Consequently, method selection should be guided by specific research questions and management objectives. Such careful methodological choice is crucial for deriving reliable conclusions and for effectively applying co-occurrence-based approaches in biodiversity assessment and forest management.</div></div>","PeriodicalId":54270,"journal":{"name":"Forest Ecosystems","volume":"15 ","pages":"Article 100431"},"PeriodicalIF":4.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-04-01Epub Date: 2025-10-28DOI: 10.1016/j.fecs.2025.100401
Nataliya Stryamets , Marine Elbakidze , Lucas Dawson , Thomas Hahn
This study explores the motivations, perceived benefits, and challenges associated with the adoption of clearcut-free forestry by early adopters among non-industrial private forest (NIPF) owners in southern-central Sweden. Clearcut-free forestry, characterized by continuous tree cover and an emphasis on biodiversity, structural diversity, and ecosystem services (ES), is increasingly seen as a sustainable alternative to conventional intensive management based on short rotations and clear-cutting practices. Based on qualitative interviews with 22 NIPF owners who have adopted this approach, the study provides insights into how these early adopters perceive the value of clearcut-free forestry. Reported motivations include environmental concerns, such as biodiversity conservation and climate resilience, as well as strong socio-cultural values linked to family traditions, aesthetic preferences, and community wellbeing.
In this study, we use the multi-level perspective (MLP) framework to conceptualize NIPF owners who have adopted clearcut-free forestry as niche actors and analyze their potential contribution to the emergence of an alternative forest management regime. The findings highlight that early adopters associate multiple benefits with clearcut-free forestry, encompassing enhanced ecosystem services such as carbon sequestration, water regulation, habitat preservation, and socio-cultural enrichment through recreation and relational values. However, the interviewees identify several interrelated challenges, including knowledge gaps, lack of clear definitions and standardized practices, limited advisory services, underdeveloped value chains for high-quality timber, and market barriers, which hinder more widespread adoption. Within the multi-level perspective, owner perceptions linking clearcut-free management with improved forest multifunctionality serve as a key driver of niche-level experimentation. This suggests an alignment between these owners and evolving societal demands for more inclusive, sustainable, and diversified forest use. Policy recommendations include targeted investments in knowledge co-production, infrastructure, market incentives, and certification schemes to support the economic viability and broader adoption of clearcut-free forestry.
{"title":"To clear-cut or not to clear-cut: Diversifying benefits from small-scale forestry in Sweden","authors":"Nataliya Stryamets , Marine Elbakidze , Lucas Dawson , Thomas Hahn","doi":"10.1016/j.fecs.2025.100401","DOIUrl":"10.1016/j.fecs.2025.100401","url":null,"abstract":"<div><div>This study explores the motivations, perceived benefits, and challenges associated with the adoption of clearcut-free forestry by early adopters among non-industrial private forest (NIPF) owners in southern-central Sweden. Clearcut-free forestry, characterized by continuous tree cover and an emphasis on biodiversity, structural diversity, and ecosystem services (ES), is increasingly seen as a sustainable alternative to conventional intensive management based on short rotations and clear-cutting practices. Based on qualitative interviews with 22 NIPF owners who have adopted this approach, the study provides insights into how these early adopters perceive the value of clearcut-free forestry. Reported motivations include environmental concerns, such as biodiversity conservation and climate resilience, as well as strong socio-cultural values linked to family traditions, aesthetic preferences, and community wellbeing.</div><div>In this study, we use the multi-level perspective (MLP) framework to conceptualize NIPF owners who have adopted clearcut-free forestry as niche actors and analyze their potential contribution to the emergence of an alternative forest management regime. The findings highlight that early adopters associate multiple benefits with clearcut-free forestry, encompassing enhanced ecosystem services such as carbon sequestration, water regulation, habitat preservation, and socio-cultural enrichment through recreation and relational values. However, the interviewees identify several interrelated challenges, including knowledge gaps, lack of clear definitions and standardized practices, limited advisory services, underdeveloped value chains for high-quality timber, and market barriers, which hinder more widespread adoption. Within the multi-level perspective, owner perceptions linking clearcut-free management with improved forest multifunctionality serve as a key driver of niche-level experimentation. This suggests an alignment between these owners and evolving societal demands for more inclusive, sustainable, and diversified forest use. Policy recommendations include targeted investments in knowledge co-production, infrastructure, market incentives, and certification schemes to support the economic viability and broader adoption of clearcut-free forestry.</div></div>","PeriodicalId":54270,"journal":{"name":"Forest Ecosystems","volume":"15 ","pages":"Article 100401"},"PeriodicalIF":4.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145528317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-04-01Epub Date: 2025-10-25DOI: 10.1016/j.fecs.2025.100399
Qiling Wang , Qing Xu , Liuyuan Huang , Weisheng Zeng , Bo Li , Timo Tokola , Ronald E. McRoberts , Zhengyang Hou
Remote sensing plays a pivotal role in forest inventory by enabling efficient large-scale monitoring while minimizing fieldwork costs. However, missing values pose a critical challenge in remote sensing applications, as ignoring or mishandling such data gaps can introduce systematic bias into the estimation of target variables for natural resource monitoring. This can lead to cascading errors that propagate through forest and ecosystem management decisions, ultimately hindering progress toward sustainable forest management, biodiversity conservation, and climate change mitigation strategies. This study aims to propose and demonstrate a procedure that employs hybrid estimators to address the limitations of missing remotely sensed data in forest inventory, using Landsat 7 ETM+ SLC-off data as an archived source for forest resource monitoring as a case in point. We compared forest inventory estimates from the hybrid estimator with those from a conventional model-based (CMB) estimator using Sentinel-2 data without missing values. Monte Carlo simulations revealed three key findings: (1) The hybrid estimator, leveraging missing-data remote sensing represented by Landsat 7 ETM+ SLC-off data, achieved a sampling precision of over 90%, meeting China's national standard for the National Forest Inventory (NFI); (2) The hybrid estimator demonstrated comparable efficiency to the CMB estimator; (3) The uncertainty associated with hybrid estimators was primarily dominated by model parameter estimation, which could be effectively mitigated by slightly increasing the training sample size or refining model specification. Overall, in forest inventory, the hybrid estimator can surmount the limitations posed by missing values in remotely sensed auxiliary data, effectively balancing cost-effectiveness and flexibility.
{"title":"Leveraging missing-data remote sensing for forest inventory","authors":"Qiling Wang , Qing Xu , Liuyuan Huang , Weisheng Zeng , Bo Li , Timo Tokola , Ronald E. McRoberts , Zhengyang Hou","doi":"10.1016/j.fecs.2025.100399","DOIUrl":"10.1016/j.fecs.2025.100399","url":null,"abstract":"<div><div>Remote sensing plays a pivotal role in forest inventory by enabling efficient large-scale monitoring while minimizing fieldwork costs. However, missing values pose a critical challenge in remote sensing applications, as ignoring or mishandling such data gaps can introduce systematic bias into the estimation of target variables for natural resource monitoring. This can lead to cascading errors that propagate through forest and ecosystem management decisions, ultimately hindering progress toward sustainable forest management, biodiversity conservation, and climate change mitigation strategies. This study aims to propose and demonstrate a procedure that employs hybrid estimators to address the limitations of missing remotely sensed data in forest inventory, using Landsat 7 ETM+ SLC-off data as an archived source for forest resource monitoring as a case in point. We compared forest inventory estimates from the hybrid estimator with those from a conventional model-based (CMB) estimator using Sentinel-2 data without missing values. Monte Carlo simulations revealed three key findings: (1) The hybrid estimator, leveraging missing-data remote sensing represented by Landsat 7 ETM+ SLC-off data, achieved a sampling precision of over 90%, meeting China's national standard for the National Forest Inventory (NFI); (2) The hybrid estimator demonstrated comparable efficiency to the CMB estimator; (3) The uncertainty associated with hybrid estimators was primarily dominated by model parameter estimation, which could be effectively mitigated by slightly increasing the training sample size or refining model specification. Overall, in forest inventory, the hybrid estimator can surmount the limitations posed by missing values in remotely sensed auxiliary data, effectively balancing cost-effectiveness and flexibility.</div></div>","PeriodicalId":54270,"journal":{"name":"Forest Ecosystems","volume":"15 ","pages":"Article 100399"},"PeriodicalIF":4.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145419883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-04-01Epub Date: 2025-12-26DOI: 10.1016/j.fecs.2025.100422
Xiao Zhang , Xinxiao Yu , Guodong Jia
Accurately assessing vegetation-hydrology interactions is crucial for water resource management, especially amidst climate change and ecological restoration. Using remote sensing observations (MODIS LAI) and GLEAM model outputs (evapotranspiration components, soil moisture (SM)) from 2000 to 2023 for China's Three-North (TN) region, we quantified the sensitivity of the transpiration fraction (TF, the ratio of transpiration to total evapotranspiration) to changes in leaf area index (LAI), denoted as θ = ∂TF/∂LAI. We employed an analytical approach combining SM and vapor pressure deficit (VPD) trends to evaluate the mechanisms governing θ′s response to increasing vegetation cover. Results show that while the TN region experienced a significant LAI increase (0.33 m2·m−2·decade−1), driving a continuous TF rise (1.44% decade−1), the sensitivity θ markedly decreased (−3.4% year−1), accumulating a 32% decline over 24 years. This reveals a clear diminishing return of LAI increase on enhancing TF. Regional VPD remained stable, with opposing effects from rising temperature and atmospheric moisture largely cancelling out. Crucially, the decline in θ was primarily governed by SM dynamics; θ decreased most sharply under soil drying conditions (Δθ up to −8%), whereas sufficient soil wetting buffered the decline. Sensitivity also varied across different combinations of SM and VPD trends, being lowest where SM increased, and VPD decreased. This study demonstrates a weakening hydrological feedback to vegetation restoration in the TN region, highlighting soil moisture availability as the key constraint limiting the ecosystem's capacity to regulate water vapor fluxes. These findings provide a critical basis for assessing ecological sustainability and informing adaptive water management strategies under future aridification.
{"title":"Soil moisture governs the weakening response of transpiration fraction to leaf area index increase: A spatiotemporal analysis in China's Three-North region","authors":"Xiao Zhang , Xinxiao Yu , Guodong Jia","doi":"10.1016/j.fecs.2025.100422","DOIUrl":"10.1016/j.fecs.2025.100422","url":null,"abstract":"<div><div>Accurately assessing vegetation-hydrology interactions is crucial for water resource management, especially amidst climate change and ecological restoration. Using remote sensing observations (MODIS LAI) and GLEAM model outputs (evapotranspiration components, soil moisture (SM)) from 2000 to 2023 for China's Three-North (TN) region, we quantified the sensitivity of the transpiration fraction (TF, the ratio of transpiration to total evapotranspiration) to changes in leaf area index (LAI), denoted as <em>θ</em> = ∂TF/∂LAI. We employed an analytical approach combining SM and vapor pressure deficit (VPD) trends to evaluate the mechanisms governing <em>θ</em>′s response to increasing vegetation cover. Results show that while the TN region experienced a significant LAI increase (0.33 m<sup>2</sup>·m<sup>−2</sup>·decade<sup>−1</sup>), driving a continuous TF rise (1.44% decade<sup>−1</sup>), the sensitivity <em>θ</em> markedly decreased (−3.4% year<sup>−1</sup>), accumulating a 32% decline over 24 years. This reveals a clear diminishing return of LAI increase on enhancing TF. Regional VPD remained stable, with opposing effects from rising temperature and atmospheric moisture largely cancelling out. Crucially, the decline in <em>θ</em> was primarily governed by SM dynamics; <em>θ</em> decreased most sharply under soil drying conditions (Δ<em>θ</em> up to −8%), whereas sufficient soil wetting buffered the decline. Sensitivity also varied across different combinations of SM and VPD trends, being lowest where SM increased, and VPD decreased. This study demonstrates a weakening hydrological feedback to vegetation restoration in the TN region, highlighting soil moisture availability as the key constraint limiting the ecosystem's capacity to regulate water vapor fluxes. These findings provide a critical basis for assessing ecological sustainability and informing adaptive water management strategies under future aridification.</div></div>","PeriodicalId":54270,"journal":{"name":"Forest Ecosystems","volume":"15 ","pages":"Article 100422"},"PeriodicalIF":4.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145924172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-04-01Epub Date: 2026-01-28DOI: 10.1016/j.fecs.2026.100427
Li Liu , Wen J. Wang , Suri G. Bao , Shengjie Ba , Lei Wang , Yu Cong , Haitao Wu , Hong S. He
Climate change, land use/cover changes (LUCC), and landscape pattern alterations have increasingly complicated interactions among ecosystem services (ES) in temperate mountain forests, underscoring the importance of understanding the mechanisms underlying the dominant trade-offs and synergies to inform sustainable natural resource management. In this study, we quantified the degree of trade-offs and synergies among water yield (WY), soil retention (SR), carbon storage (CS), and habitat quality (HQ), and elucidated their dominant drivers in the Changbai Mountain Region, Northeast China, from 1990 to 2020. Our results demonstrated that SR (+29.56%) and CS (+9.90%) increased, while WY (−8.77%) and HQ (−20.77%) decreased over the 30 years. ES interactions were dominated by trade-offs between WY and SR and synergies between WY and HQ. These dominant interactions were mainly driven by LUCC, particularly cropland expansion, forest loss, and urbanization, along with landscape pattern alterations associated with increased fragmentation and enhanced connectivity from afforestation, whereas climatic changes played a comparatively smaller role. LUCC not only directly influenced ES interactions but also exerted indirect effects through its alterations of landscape patterns. These complex, multifaceted drivers shape ES relationships and intensify mismatches between ES supply and demand, underscoring the urgent need for integrated, spatially explicit management strategies to balance ES provisioning and ensure long-term ecological sustainability in montane regions.
{"title":"Land use and landscape pattern changes dominated ecosystem service trade-offs and synergies in a temperate mountain region","authors":"Li Liu , Wen J. Wang , Suri G. Bao , Shengjie Ba , Lei Wang , Yu Cong , Haitao Wu , Hong S. He","doi":"10.1016/j.fecs.2026.100427","DOIUrl":"10.1016/j.fecs.2026.100427","url":null,"abstract":"<div><div>Climate change, land use/cover changes (LUCC), and landscape pattern alterations have increasingly complicated interactions among ecosystem services (ES) in temperate mountain forests, underscoring the importance of understanding the mechanisms underlying the dominant trade-offs and synergies to inform sustainable natural resource management. In this study, we quantified the degree of trade-offs and synergies among water yield (WY), soil retention (SR), carbon storage (CS), and habitat quality (HQ), and elucidated their dominant drivers in the Changbai Mountain Region, Northeast China, from 1990 to 2020. Our results demonstrated that SR (+29.56%) and CS (+9.90%) increased, while WY (−8.77%) and HQ (−20.77%) decreased over the 30 years. ES interactions were dominated by trade-offs between WY and SR and synergies between WY and HQ. These dominant interactions were mainly driven by LUCC, particularly cropland expansion, forest loss, and urbanization, along with landscape pattern alterations associated with increased fragmentation and enhanced connectivity from afforestation, whereas climatic changes played a comparatively smaller role. LUCC not only directly influenced ES interactions but also exerted indirect effects through its alterations of landscape patterns. These complex, multifaceted drivers shape ES relationships and intensify mismatches between ES supply and demand, underscoring the urgent need for integrated, spatially explicit management strategies to balance ES provisioning and ensure long-term ecological sustainability in montane regions.</div></div>","PeriodicalId":54270,"journal":{"name":"Forest Ecosystems","volume":"15 ","pages":"Article 100427"},"PeriodicalIF":4.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-04-01Epub Date: 2025-11-19DOI: 10.1016/j.fecs.2025.100410
Youchao Chen , Qinxi Liu , Xinli Chen , Ji Chen , Biao Zhu , Shenglei Fu , Scott X. Chang , Yanjiang Cai
The effects of nitrogen (N) deposition on forest soil organic carbon (SOC) are largely unclear, likely due to the divergent responses of particulate (POC) and mineral-associated carbon (MAOC). Conventional understory inorganic N (UIN) additions neglect canopy processes and the impacts of organic N, potentially misevaluating N deposition effects. This study was conducted in a long-term N addition experiment established in a Moso bamboo forest, which included six treatments combining canopy and understory N additions with organic (urea + glycine) and inorganic (NH4NO3) forms at a rate of 50 kg N·ha−1·yr−1. Litterbags were installed for a two-year decomposition experiment and collected at quarterly intervals, together with concurrent soil sampling under litterbags at 0–10 cm depth. We aimed to examine the effects of canopy vs. understory N addition and organic vs. inorganic N form on soil POC and MAOC concentrations. Our results showed that canopy N additions significantly reduced POC (−15.9%) but did not affect MAOC (P > 0.05). Conversely, understory N additions significantly increased POC (+30.9%) and decreased MAOC (−28.9%). Canopy N additions decreased POC by enhancing peroxidase activity and fungal diversity (FuD), while understory N additions promoted POC by inhibiting litter decomposition. Additionally, understory N addition-induced soil acidification decreased soil Ca2+ concentration, microbial carbon use efficiency, and bacterial necromass C, as well as the release of litter water-soluble compounds, thereby inhibiting MAOC. Moreover, nitrogen forms (organic vs. inorganic) had no effect on SOC fractions. Our findings underscore that canopy and understory N addition approaches differentially regulate SOC fractions by altering litter decomposition–microbial–mineral interactions, and the understory approach may overestimate soil POC gain and MAOC loss driven by atmospheric N deposition.
氮沉降对森林土壤有机碳(SOC)的影响在很大程度上是不清楚的,可能是由于颗粒(POC)和矿物相关碳(MAOC)的不同响应。传统的林下无机氮(un)添加忽略了林冠过程和有机氮的影响,潜在地错误评估了N沉降效应。本研究在毛梭竹林进行了长期施氮试验,包括6个处理,分别以有机(尿素+甘氨酸)和无机(NH4NO3)形式,以50 kg N·ha−1·yr−1的速率向林下和林下施氮。安装垃圾袋进行为期两年的分解实验,每季度收集一次,同时在垃圾袋下进行0-10 cm深度的土壤采样。研究了林冠和林下N添加量以及有机和无机N形态对土壤POC和MAOC浓度的影响。结果表明,添加冠层氮显著降低了POC(- 15.9%),但对MAOC没有影响(P > 0.05)。相反,林下N添加显著提高POC(+30.9%),降低MAOC(- 28.9%)。林冠氮素添加通过提高过氧化物酶活性和真菌多样性(FuD)降低POC,林下氮素添加通过抑制凋落物分解提高POC。此外,林下N添加引起的土壤酸化降低了土壤Ca2+浓度、微生物碳利用效率、细菌坏死质量C以及凋落物水溶性化合物的释放,从而抑制了MAOC。此外,氮形态(有机和无机)对有机碳分数没有影响。研究结果表明,林冠和林下加氮方法通过改变凋落物分解-微生物-矿物相互作用来调节土壤有机碳含量,林下加氮方法可能高估了大气氮沉降驱动的土壤POC增益和MAOC损失。
{"title":"Canopy and understory nitrogen additions differentially regulate soil organic carbon fractions via litter–microbe–mineral interactions","authors":"Youchao Chen , Qinxi Liu , Xinli Chen , Ji Chen , Biao Zhu , Shenglei Fu , Scott X. Chang , Yanjiang Cai","doi":"10.1016/j.fecs.2025.100410","DOIUrl":"10.1016/j.fecs.2025.100410","url":null,"abstract":"<div><div>The effects of nitrogen (N) deposition on forest soil organic carbon (SOC) are largely unclear, likely due to the divergent responses of particulate (POC) and mineral-associated carbon (MAOC). Conventional understory inorganic N (UIN) additions neglect canopy processes and the impacts of organic N, potentially misevaluating N deposition effects. This study was conducted in a long-term N addition experiment established in a Moso bamboo forest, which included six treatments combining canopy and understory N additions with organic (urea + glycine) and inorganic (NH<sub>4</sub>NO<sub>3</sub>) forms at a rate of 50 kg N·ha<sup>−1</sup>·yr<sup>−1</sup>. Litterbags were installed for a two-year decomposition experiment and collected at quarterly intervals, together with concurrent soil sampling under litterbags at 0–10 cm depth. We aimed to examine the effects of canopy vs. understory N addition and organic vs. inorganic N form on soil POC and MAOC concentrations. Our results showed that canopy N additions significantly reduced POC (−15.9%) but did not affect MAOC (<em>P</em> > 0.05). Conversely, understory N additions significantly increased POC (+30.9%) and decreased MAOC (−28.9%). Canopy N additions decreased POC by enhancing peroxidase activity and fungal diversity (FuD), while understory N additions promoted POC by inhibiting litter decomposition. Additionally, understory N addition-induced soil acidification decreased soil Ca<sup>2+</sup> concentration, microbial carbon use efficiency, and bacterial necromass C, as well as the release of litter water-soluble compounds, thereby inhibiting MAOC. Moreover, nitrogen forms (organic vs. inorganic) had no effect on SOC fractions. Our findings underscore that canopy and understory N addition approaches differentially regulate SOC fractions by altering litter decomposition–microbial–mineral interactions, and the understory approach may overestimate soil POC gain and MAOC loss driven by atmospheric N deposition.</div></div>","PeriodicalId":54270,"journal":{"name":"Forest Ecosystems","volume":"15 ","pages":"Article 100410"},"PeriodicalIF":4.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145623654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}