Quantification of the Influencing Factors of Stand Productivity of Subtropical Natural Broadleaved Forests in Eastern China Using an Explainable Machine Learning Framework

Forests, Journal Year: 2025, Volume and Issue: 16(1), P. 95 - 95

Published: Jan. 8, 2025

Natural broadleaf forests (NBFs) are the most abundant zonal vegetation type in subtropical regions. Understanding mechanisms influencing stand productivity NBFs is important for developing “nature-based” solutions climate change mitigation. However, minimal research has captured effects of nonlinearities and feature interactions that often have nonlinear impacts on factors. To address this gap, we used continuous forest inventory data, a machine learning model was constructed. Subsequently, through leveraging interpretable framework SHapley Additive explanation (SHAP) partial dependence plot, determined global local explanations factors productivity. Our findings indicate following: (1) The Autogluon performed strongest based R2, RMSE, rRMSE metrics. (2) basal area (BA), neighborhood comparison diameter at breast height (NC), age (AGE) were key Stand increased with increasing BA decreased NC AGE. maintained above 15 m2ha−1 below 0.45, which represent favorable conditions to maintain optimal growth. (3) SHAP interaction values calculated determine five major study provides reference sustainable management NBFs, thereby highlighting role mitigating change.

Language: Английский

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Moss Cover Modulates Soil Fungal Functional Communities and Nutrient Cycling in Alpine Forests

Forests, Journal Year: 2025, Volume and Issue: 16(1), P. 138 - 138

Published: Jan. 14, 2025

Moss–cyanobacteria associations serve as significant nitrogen fixers and represent the primary sink in boreal forests. Fungi, which are essential for soil biogeochemical cycling, have community structures intrinsically linked to forest ecosystem health productivity. Using high-throughput sequencing, we investigated differences between moss-covered non-moss soils two alpine forests (both plantation natural forests) by examining contents, fungal structure, composition, functional guilds. Results demonstrated that moss cover enhanced nutrient including total carbon, nitrogen, inorganic nitrogen. It also altered characteristics, resulting higher Chao1 Shannon diversity indices, well a more complex network. Notable changes guilds included an increase saprotrophic fungi abundance decrease ectomycorrhizal fungi. Our findings support concept creates distinct environments: attract decomposers nutrient-mobilizing (particularly saprotrophs ectomycorrhiza), while favor relieve limitation through extensional mycelial networks. These highlight critical role of sustaining resilience, positioning it cornerstone carbon cycling within ecosystems.

Language: Английский

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The Impact of Nitrogen Addition on Soil Carbon Components and Understory Vegetation in Moso Bamboo Forests

Plants, Journal Year: 2025, Volume and Issue: 14(4), P. 569 - 569

Published: Feb. 13, 2025

Moso bamboo forests are ecologically and economically important in China, but the effects of nitrogen addition on soil carbon dynamics vegetation underexplored. This study applied six treatment levels a monoculture forest, collecting samples from 0 to 30 cm depth understory data. The results showed that significantly reduced stable components, while particulate organic (POC) increased, suggesting excessive may destabilize pool by accelerating SOC decomposition or reducing accumulation. Vertical variations components were more significant 20-30 layer, indicating stronger impacts deep cycling. Nitrogen reshaped community structure, notably affecting dominant species such as Viola davidii Rubus buergeri. However, diversity indices no changes, likely due vegetation's high adaptability nitrogen. Correlation analysis indicated positively influenced diversity, POC had negative effect. Partial least squares path modeling (PLS-PM) explained 95.12% variance relationship between nitrogen, diversity. negatively affected impacted promote certain component accumulation could weaken forest's sink function.

Language: Английский

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A Comparison of the Impact of Latitude on the Root-Shoot Ratio of Natural and Planted Forests

Forests, Journal Year: 2025, Volume and Issue: 16(3), P. 381 - 381

Published: Feb. 20, 2025

The forest root-shoot ratio (R/S) is an important indicator of the structure and function ecosystems. It reflects adaptive strategies plants to environmental changes, its pattern change along latitudinal gradient great significance for understanding response ecosystems changes. Although numerous studies have addressed relationship between climate, soil conditions, below-ground biomass above-ground at local scale, R/S variations in different types forests, as well dominant factors, remain unclear. This study, based on field surveys literature collected from 2005 2020 384 planted forests 541 natural China, investigates patterns variation gradients forests. study demonstrated a positive correlation increasing across types, including (p < 0.001). results negative both mean annual temperature, precipitation phosphorus content. Conversely, was observed nitrogen content pH. can be that plantation are more susceptible alterations factors than Latitudinal not only directly affect but also by influencing climate interactions together. Our distinguishes changes factors. These findings provide theoretical basis efficiently guiding management.

Language: Английский

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Aggravated forest fragmentation undermines productivity stability and amplifies climate impact

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: March 11, 2025

African tropical forests have undergone extensive fragmentation, with an increasing proportion of previously intact now influenced by edge effects. It has become a pressing necessity to develop comprehensible index assess forest fragmentation and its interplay climate factors influencing ecosystem productivity (FEP). Using high-resolution cover maps, we developed Forest Fragmentation Gradient Index (FFGI), novel metric derived from two-dimensional framework incorporating landscape configuration edge-to-interior gradient distance. Results reveal that 2000 2023, 76.03% exhibited increased particularly in Central Africa the Congo region. Statistical analysis FEP under different levels shows low are more conducive accumulation, indicated kNDVI values 0.617 ± 0.118 0.669 0.102 2023. With increase static interaction temperature variation wind speed explain gradually increased. Over past 20 years, addition, corresponding degree effects variations radiation coupling on all show trend. Furthermore, as dynamic FFGI (ΔFFGI) intensified, stability progressively declined. Thus, curbing further moderately restoring afforestation imperative for sustaining mitigating change impacts.

Language: Английский

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Response of Photosynthetic Capacity to Nitrogen Addition in Larix gmelinii Trees in Different Crown Classes

Plants, Journal Year: 2025, Volume and Issue: 14(7), P. 1056 - 1056

Published: March 28, 2025

We explored the response of photosynthetic capacity to nitrogen (N) deposition among Larix gmelinii trees in different crown classes (e.g., suppressed, intermediate, and dominant trees) a 12-year field experiment forest Greater Khingan Mountains Northeast China. Four N-addition treatments were established: control (CK), low N (LN), medium (MN), high (HN) (0, 25, 50, 75 kg N·ha-1·year-1, respectively). Photosynthesis its influencing factors measured 2023. Nitrogen addition significantly increased maximum net rate (Pmax), carboxylation (Vcmax), electron transport (Jmax) suppressed intermediate trees. The showed Pmax Vcmax MN HN, Jmax HN. Pmax, Vcmax, MN. For trees, was LN decreased by peaked leaf content (Nmass), chlorophyll (Chlm), ratio phosphorous (N:P), enzyme activities all classes. Nmass had significant nonlinear relationships with Jmax. Enzyme activity Chlm positively affected N:P negatively promoting effect on stronger than Therefore, class should be considered when studying boreal forests.

Language: Английский

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Nitrogen addition promotes the coupling of deep soil carbon and nitrogen under different vegetation restoration types in the Chinese Loess Plateau

Geoderma, Journal Year: 2025, Volume and Issue: 455, P. 117236 - 117236

Published: March 1, 2025

Language: Английский

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Advancements in Monitoring Tree Phenology Under Global Change: A Comprehensive Review

Forests, Journal Year: 2025, Volume and Issue: 16(5), P. 771 - 771

Published: April 30, 2025

This comprehensive review explores recent advancements in monitoring tree phenology the context of global change. As climate change continues to alter ecosystems worldwide, understanding has become increasingly crucial for predicting ecological responses and informing conservation strategies. examines traditional ground-based observation methods, highlights their strengths limitations, discusses integration modern technologies such as remote sensing, digital cameras, sensor networks. Special attention is given role citizen science initiatives expanding phenological data collection. also addresses challenges posed by monitoring, including shifting patterns complexities. Furthermore, it applications research, ecosystem management, biodiversity conservation. The paper concludes identifying future directions emerging that promise revolutionize emphasizing need interdisciplinary collaboration standardized methodologies enhance our a rapidly changing world.

Language: Английский

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Analysis of Driving Factors for Vegetation Ecological Quality Based on Bayesian Network

Forests, Journal Year: 2024, Volume and Issue: 15(7), P. 1263 - 1263

Published: July 19, 2024

Vegetation is a crucial component of ecosystems, and understanding the drivers spatial optimization patterns its ecological quality vital for environmental management in middle reaches Yangtze River Urban Agglomeration. Traditional evaluations employing single indices may not fully capture complexity vegetation elements require evaluation through various indicators. Therefore, this study introduced Multi Criteria Ecological Quality Index (VEQI), coupled with cover function indicators, to explore driving factors identify key areas where declines or improves. By constructing Bayesian network VEQI, we identified variables that influence index. Additionally, delineated zones VEQI. The results indicate VEQI exhibits trend transitioning from low values urban centers high suburban rural areas. Over 20 years, average region ranged 10.85% 94.94%. Slope, DEM, type were as significant while precipitation, temperature, nighttime light considered secondary factors. Notably, Hunan, Jiangxi, Hubei provinces, especially western part pinpointed regions. This research only enhances vegetation’s agglomeration but also provides scientific insights protection vegetation.

Language: Английский

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Temperature and soil attributes drive the regional variation in leaf anatomical traits of Populus euphratica

Global Ecology and Conservation, Journal Year: 2024, Volume and Issue: 54, P. e03107 - e03107

Published: July 25, 2024

Leaf anatomical traits are susceptible to environmental changes and can reflect plant adaptation strategies the environment. Populus euphratica plays a key role in maintaining ecosystem processes functions arid zones, but variations leaf of their drivers at large scales remain unclear. Here, we investigated 10 from 12 sampling sites zone China, explored how they were affected by geographic, climatic, soil factors. Our results showed that these differed significantly between (P < 0.05), which was mainly determined climate factors together explained 41.4 % trait variation. The impact is most critical, as directly influence variation indirectly affect influencing Among them, max temperature warmest month (BIO5), available phosphorus (SAP) moisture content (SM) had critical effect. Besides, major factor for ratio spongy tissue thickness (SR), palisade (PT), (PSR), (CTR), while nutrient (LT), lower epidermis (LET), (ST). provide important insights into response dryland forests change, suggest warming declining quality may have stronger effect on euphratica.

Language: Английский

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