Trees, Forests and People最新文献_第5页

Spatiotemporal variations and driving mechanisms of carbon sinks in Populus euphratica Oliv. forests in China from 2000 to 2023 胡杨碳汇时空变化及驱动机制从2000年到2023年中国的森林

IF 2.9 Q1 FORESTRY

Trees, Forests and People

Pub Date : 2026-01-01 DOI: 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.

准确评估胡杨的碳汇是至关重要的。胡杨（P. euphratica）森林具有长期的固碳能力，对了解干旱区的碳平衡具有重要意义，但目前在全球范围内还缺乏定量研究。本研究采用优化的卡耐基-艾姆斯-斯坦福方法（CASA），结合生物量和无人机（UAV）数据，研究了2000-2023年中国胡杨林净生态系统生产力（NEP）的时空异质性，并分析了气候因素、生态输水（EWC）和土地利用变化对胡杨林净生态系统生产力的影响。结果表明：(1)总体而言，2017年以后，中国新能源政策总体呈波动上升趋势，夏季最高，冬季最低；(2)塔里木、阿克苏和黑河流域的新能源经济总量呈上升趋势，而喀尔干河下游则呈下降趋势；(3)人类活动已超过气候因素，成为白杨林新生态环境价值增加的主要驱动因素，90%的实施区域受益于生态环境价值；(4)近20 a来，中国胡杨林累积NEP增加了1200.38 Gg C，主要原因是由未利用地向胡杨林和耕地的转变。本研究提供了稳健的NEP估算，阐明了其时空格局和驱动机制，并证明了白杨林在干旱区具有重要的碳汇作用。这些发现为基于证据的保护策略和中国的“双碳”目标的发展提供了支持。

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引用次数: 0

Drought-wildfire synergy drives carbon-source transition and amplifies carbon budget uncertainty of boreal forests in Northeast China 干旱-野火协同效应驱动东北北方寒带森林碳源转换并放大碳收支不确定性

IF 2.9 Q1 FORESTRY

Trees, Forests and People

Pub Date : 2026-01-01 DOI: 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 21^st 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^st 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.

干旱的频率和强度都在增加，减少了光合作用，导致树木死亡，从而削弱了北方森林作为碳汇的能力。它们还间接地放大了野火的频率和严重程度，进一步影响了北方森林的碳动态。基于不同物种的干旱敏感性、野火动态和森林演替，建立了一个模型耦合框架，模拟了21世纪中国东北北方针叶林的碳动态。我们的研究结果表明，干旱大大增加了树木的死亡率，并限制了碳的固存。累积的燃油负荷扩大了燃烧面积，提高了火灾的严重程度。旱火协同效应抵消了植被恢复和灭火带来的碳汇收益，并使区域碳收支年际变化加倍。在ssp5-8.5情景下，北方森林在21世纪后期间歇性地从碳汇转变为碳源。本研究强调了在研究气候变化对北方森林碳动态的影响时，明确考虑协同干旱-火灾相互作用的重要性。为了减轻这些协同作用，适应性森林管理应优先考虑减少燃料负荷的措施（例如，疏林或规定燃烧）和促进抗旱树种，从而有效减少灾难性野火的可能性，增强北方森林的长期稳定性和碳固存能力。

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引用次数: 0

Physical presence, practical absence: Accessibility of timber inventory in the eastern US 实际存在，实际缺失：美国东部木材库存的可及性

IF 2.9 Q1 FORESTRY

Trees, Forests and People

Pub Date : 2026-01-01 DOI: 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.

美国东部的森林资源分布在异质性景观上，具有广泛不同的生物物理、社会和市场特征。因此，在一个地区内，总库存很少可用于收获。了解实际木材盘存和可获得的木材盘存之间的区别，对于进行市场分析、发展前瞻性资源评价、估计采掘（“活跃”）资源基础以及总体上确保木材的持续、可持续流动至关重要。为此，我们采用回归和空间分析相结合的方法来估计和可视化美国东部林地的木材和碳可及性，以及物种特异性估计的差异，在我们的案例中，白栎树（Quercus alba）。逻辑回归显示，所有7个生物物理和社会特征，即场地地貌、生产力、坡度、道路距离、舒适价值、所有权和过去的收获经验，都显著地解释了美国东部林地缺乏收获/管理决策的原因。随后的空间分析表明，较高的木材可达性点/木材盆地主要集中在大西洋沿岸平原、东南部墨西哥湾沿岸和缅因州的大部分地区，而较低的木材可达性点/木材盆地主要集中在阿巴拉契亚山区、奥扎克、瓦希塔、中西部上部部分地区和德克萨斯州西部的干旱地区。本研究的结果对影响东部林地的木材供应模式、政策、项目和服务，以及这些森林产生的效益，特别是与木材可及性、白栎可持续性和碳附加性有关的问题具有重要的应用和意义。

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引用次数: 0

From structural diversity measures to ecosystem complexity: Experiments for deriving aggregated complexity indices 从结构多样性测度到生态系统复杂性：综合复杂性指数的推导实验

IF 2.9 Q1 FORESTRY

Trees, Forests and People

Pub Date : 2026-01-01 DOI: 10.1016/j.tfp.2026.101165

Sebas de Smedt, Norul Sobuj, Arne Pommerening

In times where biodiversity is globally under much pressure, effective monitoring of ecosystems is of great importance. As plants and particularly trees tend to shape the physical environment of ecosystems, indicators based on the structural complexity of plant communities are frequently used as surrogates for direct measures of biodiversity. A multitude of such quantitative diversity indicators exist and when considering multiple ecosystem services there is often the need to aggregate them in a single complexity index. We quantified the effects of four statistical techniques of aggregating contributing indices from three overarching tenets of α-diversity, i.e. location (or dispersion) diversity, size and species diversity. In addition we experimentally studied the influence of four different weights assigned to the contributing diversity measures. Overall the differences between the weights and aggregation methods used were comparatively small. Inverse correlation weights combined with arithmetic-geometric aggregation turned out to be the best choice for obtaining a clear complexity gradient for our study data from the boreal forest in Northern Sweden. In our analysis, it proved useful to rely on a small pool of global reference data with a strong structural gradient which served as contrasts and training data in addition to the data of our study plots. The application of random weights as statistical references was very helpful for understanding how weighting and index aggregation works. Our index-aggregation results suggested that the nine Swedish forest plots were at the lower end of global complexity and differed comparatively little in terms of forest structure.

在全球生物多样性面临巨大压力的时代，有效监测生态系统非常重要。由于植物，特别是树木倾向于塑造生态系统的物理环境，基于植物群落结构复杂性的指标经常被用作替代生物多样性的直接措施。存在大量这样的数量多样性指标，在考虑多种生态系统服务时，往往需要将它们汇总为一个单一的复杂性指数。从α-多样性的3个基本原则（即位置（或分散）多样性、大小和物种多样性）出发，量化了4种汇总贡献指数的统计技术的效果。此外，我们还实验研究了四种不同的权重分配给贡献多样性措施的影响。总体而言，所使用的权重和汇总方法之间的差异相对较小。结果表明，逆相关权值与算术-几何聚合相结合是获得瑞典北部北方森林研究数据清晰复杂性梯度的最佳选择。在我们的分析中，事实证明，除了我们的研究数据外，依赖一小部分具有强结构梯度的全球参考数据是有用的，这些数据可以作为对比和训练数据。随机权重作为统计参考的应用对于理解权重和索引聚合的工作原理非常有帮助。我们的指数汇总结果表明，9个瑞典森林样地处于全球复杂性的低端，森林结构差异相对较小。

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引用次数: 0

Dynamics and determinants of forest cover changes in the inner Congo basin 刚果盆地内森林覆盖变化的动态和决定因素

IF 2.9 Q1 FORESTRY

Trees, Forests and People

Pub Date : 2026-01-01 DOI: 10.1016/j.tfp.2025.101126

Lisette Mangaza , Germain Batsi , Adrien Peroches , Claire Masson , Denis Jean Sonwa , Simon Lhoest , Jean-Remy Makana , Wannes Hubau , Philipe Lejeune , Adeline Fayolle

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.

在过去的几十年里，刚果盆地内部出现了大规模的森林砍伐和森林退化。虽然农业向林地的扩张被广泛认为是森林砍伐的主要驱动因素，但对当地动态和社会驱动因素的研究仍然不足。本研究调查了通过卫星产品监测的森林覆盖动态，以及通过对刚果民主共和国（DRC）最大省份Tshopo的家庭访谈进行的农业实践。我们将基于卫星的森林覆盖数据（热带潮湿森林数据集，1990-2023）与在基桑加尼（省会）周围以及沿着6条主干道轴线150公里范围内的住户调查（n = 850）相结合。1990年至2023年期间，整个措布省9.7%的成熟热带潮湿森林（相当于1905 800公顷）因森林被砍伐、退化或受到干扰而丧失。自2010年以来，森林砍伐加速，空间格局显示城市扩张和农业对森林的侵占。家庭访谈证实，小规模农业是该地区的主要农业系统（94%的受访者），农田大多位于休耕土地上。木薯、水稻、玉米和香蕉等粮食作物占主导地位，油棕、可可和咖啡等多年生作物则不太常见。地理和生产因素，即靠近基桑加尼市和家庭经济中心，是Tshopo农业实践的主要决定因素。虽然个体小规模农业对森林覆盖的影响有限（只有11%的粮食作物田和8%的多年生作物种植园是在成熟林地上建立的），但季节性土地转换的累积效应是巨大的。家庭一级的森林砍伐（850户家庭每个种植季节349公顷）推算为全省每年大约有19.5万公顷的成熟森林被砍伐。考虑到该地区严重的人类影响和贫困，在高度不稳定的情况下，考虑到生产者情况的多样性，促进在不侵犯成熟森林的情况下提高生产力的可持续农业做法至关重要。

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引用次数: 0

Exploring behavioral determinants of sustainable agricultural practices adoption in Morocco: Evidence from PLS-SEM 探索摩洛哥可持续农业实践采用的行为决定因素：来自PLS-SEM的证据

IF 2.9 Q1 FORESTRY

Trees, Forests and People

Pub Date : 2026-01-01 DOI: 10.1016/j.tfp.2025.101143

Soufiane Bouyghrissi , Maha Khanniba , Hanaa Touloub , Mohamed Torra , Omar Kharbouch

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.

本研究通过对402名农民的调查数据使用偏最小二乘结构方程模型（PLS-SEM）来调查摩洛哥采用可持续农业实践（sap）的驱动因素。该模型考察了态度（AT）、主观规范（SN）、感知行为控制（PBC）和知识（KN）对实际收养行为的影响。结果表明，态度是SAP采用的最强正向预测因子，而知识通过塑造态度间接起作用。主观规范也影响采用，尽管其影响是适度和消极的，这表明农民可能对SAP的使用感到谨慎或混杂的信息。在这种情况下，感知行为控制对收养没有显著影响。研究结果强调了心理和社会过程在影响农民决策方面的重要性，并表明仅靠技术知识不足以推动行为改变。从这一分析中可以看出明显的政策含义。推广项目应通过展示当地的示范、宣传切实的利益和提供降低风险的激励措施，优先加强积极的态度。农民培训倡议应纳入社会学习机制，例如点对点交流和基于合作的活动，以利用社区影响并确保公平获取信息。因此，寻求扩大SAP应用规模的政策制定者应在信息推广和社会基础设施方面进行投资，认识到农业行为的改变从根本上是由农民的信仰、动机和社会环境决定的。

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引用次数: 0

Topography determines soil C:N:P stoichiometry more than forest attributes in heterogeneous subtropical karst forests 在非均质亚热带喀斯特森林中，地形对土壤C:N:P化学计量的影响大于森林属性

IF 2.9 Q1 FORESTRY

Trees, Forests and People

Pub Date : 2026-01-01 DOI: 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.

了解土壤养分的生态化学计量及其驱动因素对于管理森林生态系统至关重要，特别是在高度异质性的景观中，如喀斯特森林。然而，地形和森林属性对这些生态系统土壤碳(C)、氮(N)和磷(P)化学计量的影响尚不清楚。研究了地形条件和森林属性对中国亚热带丰富物种喀斯特森林表层土壤（0 ~ 10 cm） C、N、P含量和化学计量比的影响。结果表明，地形对全氮（TN）和全磷（TP）含量及其化学计量变化起主导作用。岩石暴露率每升高1%，总氮和总磷分别增加0.51%和0.97%，海拔每升高1 m，总氮和总磷分别减少0.46%和1.79%。C:N、C:P和N:P呈相反趋势。土壤有机碳（SOC）受地形影响不显著。森林属性对土壤C:N:P化学计量变异的影响有限，仅占总变异的6.02%。土壤有机碳和全氮随最近分类群指数（NTI）的增加而增加，而C:N和C:P随Shannon-Wiener多样性指数的增加而降低。相关分析显示，地形变量（ELE、RER和坡向）、森林属性（Pielou均匀度、NTI和平均胸径）和土壤C:N:P化学计量学之间存在显著相关性。冗余分析结果显示，地形对森林属性的贡献率（35.21%）大于森林属性（6.02%），其中ELE、RER和坡度对森林属性的贡献率分别为19.22%、10.98%和3.18%。这些结果表明，地形条件而不是森林特征是非均质喀斯特森林土壤C:N:P化学计量模式的主要驱动因素。这些信息对于指导喀斯特地区有效的森林管理和恢复战略至关重要。

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引用次数: 0

Carbon stock and woody species diversity of the forests in Zegie Peninsula and monastic islands of Lake Tana, Ethiopia 埃塞俄比亚泽吉半岛和塔纳湖修道院岛森林的碳储量和木本物种多样性

IF 2.9 Q1 FORESTRY

Trees, Forests and People

Pub Date : 2026-01-01 DOI: 10.1016/j.tfp.2026.101163

Abebe Worku Amberbir , Amare Bitew Mekonnen , Ejigu Alemayehu Worku , Getahun Yemata Lule

Forests of the Zegie Peninsula and nearby monastic islands in Lake Tana are important refuges of biodiversity and major carbon sinks. However, their carbon stocks remain poorly quantified, and woody species diversity had not been well documented. This study assessed woody species diversity, plant community structure, forest biomass, and carbon stocks using standard allometric equations. Data were collected from 165 plots across Zegie, Daga Estifanos, Kebran Gebriel, and Entons Eyesus. A total of 89 woody species were identified, representing 75 genera and 40 families, and three plant communities were identified Coffea arabica-Ehretia cymosa, Mimusops kummel-Syzygium guineense, and Celtis Africana-Stereospermum kunthianum. Aboveground biomass ranged from 27.37 to 115.31 tons ha⁻¹, and the combined carbon stock from aboveground, belowground, and soil pools ranged from 163.31 to 214.59 tons ha⁻¹. The soil organic carbon pool contributed the largest and stable share of the total carbon stock ranged from 154.25 to 137.25 tons ha⁻¹. Aboveground biomass showed significant variation with slope aspect and declined with increasing altitude and slope. Overall, the high carbon stocks and woody species richness highlight the ecological significance of these forests and support their inclusion in REDD+ and other payment-based ecosystem service and forest conservation initiatives.

泽吉半岛的森林和塔纳湖附近的修道院岛屿是生物多样性的重要避难所和主要的碳汇。然而，它们的碳储量量化仍然很差，木本物种多样性没有得到很好的记录。本研究利用异速生长方程对木本物种多样性、植物群落结构、森林生物量和碳储量进行了评价。数据收集自Zegie、Daga Estifanos、Kebran Gebriel和Entons Eyesus的165个地块。共鉴定出40科75属89种木本植物，并鉴定出3个植物群落，分别是咖啡(Coffea arabica) -铁杉（ehretia cymosa）、蜜豆(Mimusops kummel) -几内亚（syzygium guineense）和非洲芹(Celtis africana) -立体spermum kunthianum。地上生物量从27.37吨到115.31吨不等，地上、地下和土壤池的碳储量总和从163.31吨到214.59吨不等。土壤有机碳库对总碳储量贡献最大且稳定，为154.25 ~ 137.25 t ha - 1。地上生物量随坡向变化显著，随海拔和坡度的增加而下降。总体而言，高碳储量和丰富的木本物种突出了这些森林的生态意义，并支持将其纳入REDD+和其他基于付费的生态系统服务和森林保护倡议。

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引用次数: 0

Coupling mechanisms and optimization of urban green space equity and income distribution based on multi-source big data: A case study of beijing 基于多源大数据的城市绿地公平与收益分配耦合机制及优化——以北京市为例

IF 2.9 Q1 FORESTRY

Trees, Forests and People

Pub Date : 2026-01-01 DOI: 10.1016/j.tfp.2025.101136

Mengtao Chu , Dongwei Tian , Yuhang Zhang , Jinxiao Zhang , Yipeng Wang

Urban green spaces are essential components of green infrastructure and ecosystems, playing a vital role in environmental sustainability and residents’ well-being. With socioeconomic development and rising living standards, public demand for better-quality and more equitably distributed green space has increased. However, most studies focus on large and medium-sized parks, overlooking the role of small green spaces in spatial equity. Using Beijing as a case study, this research integrates multi-source big data to evaluate green space equity through the Gaussian Two-Step Floating Catchment Area (G2SFCA) method. It combines income distribution modeling, Lorenz curves, and Gini coefficients, and applies the Coupling Coordination Degree Model (CCDM) to explore the spatial coupling between green space equity and residents’ income distribution. Results show that: (1) Green space distribution in Beijing is notably uneven, with a population-weighted Gini coefficient of 0.3388. The top 10 % of the population by township has access to only about 0.6 % of green space, while the top 10 % of green space–rich areas accommodate 25–45 % of residents. In outer suburbs and ecological zones, a small population occupies most green resources. (2) Income distribution is also highly unequal, with a Gini coefficient of 0.7883. The lowest 10 % of the population holds merely 0.01–0.6 % of total income, while the highest-income 10 % captures 25–45 %. Income is relatively balanced in central districts but highly concentrated in the periphery. (3) Coupling between green space equity and income distribution varies spatially. Among 331 townships, 19.9 % show high coordination—mainly in the southeast and northwest—while 40.1 % are poorly coordinated, mostly in northern, central, and edge areas. Coupling coordination correlates positively with green space equity and less strongly with income. Quadrant analysis indicates that about 70 % of townships exhibit a “high–low mismatch,” reflecting social–ecological imbalance. The study suggests optimizing green space layout in outer suburbs and low-coordination areas, enhancing public green space provision, and promoting more balanced income distribution to support sustainable urban development and equitable access to green infrastructure.

城市绿地是绿色基础设施和生态系统的重要组成部分，在环境可持续性和居民福祉方面发挥着至关重要的作用。随着社会经济的发展和人民生活水平的提高，公众对质量更好、分布更合理的绿地的需求日益增加。然而，大多数研究都集中在大中型公园，忽视了小型绿地在空间公平中的作用。本研究以北京市为例，采用高斯两步浮动集水区（G2SFCA）方法，整合多源大数据对绿地权益进行评价。结合收入分配模型、洛伦兹曲线和基尼系数，运用耦合协调度模型（CCDM）探讨绿地公平与居民收入分配的空间耦合关系。结果表明：①北京市绿地分布不均匀性显著，人口加权基尼系数为0.3388；按乡镇划分的前10%的人口只能获得约0.6%的绿地，而前10%的绿地丰富地区容纳了25 - 45%的居民。在远郊和生态区，很少的人口占据了大部分的绿色资源。(2)收入分配极不平等，基尼系数为0.7883。收入最低的10%的人只占有总收入的0.01 - 0.6%，而收入最高的10%的人占有总收入的25 - 45%。中心地区的收入相对均衡，而边缘地区的收入高度集中。(3)绿地公平与收入分配的耦合存在空间差异。在331个乡镇中，协调度高的占19.9%，主要集中在东南部和西北部，协调度差的占40.1%，主要集中在北部、中部和边缘地区。耦合协调与绿地公平呈正相关，与收入的相关性较弱。象限分析表明，约70%的乡镇表现出“高低失配”，反映了社会生态失衡。研究建议优化远郊和低协调区绿地布局，加强公共绿地供给，促进收入分配更加均衡，以支持城市可持续发展和绿色基础设施的公平使用。

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引用次数: 0

Assessment of community sustainability on social forestry program implementation in Indonesia: Insights from agroforestry model in Java and Sumatra 印度尼西亚社会林业项目实施的社区可持续性评估：来自爪哇和苏门答腊农林业模式的见解

IF 2.9 Q1 FORESTRY

Trees, Forests and People

Pub Date : 2026-01-01 DOI: 10.1016/j.tfp.2025.101124

Rospita Odorlina Situmorang, Sanudin, Ary Widiyanto, Eva Fauziyah

The Indonesia Social Forestry (SF) program has been implemented in different schemes and geographic locations, necessitating rigorous assessment to evaluate the effectiveness of its management. This study seeks to compare the implementation of the SF program in Java and Sumatra by conducting a sustainability analysis at community level. The research encompassed six communities, employing distinct SF scheme, twenty indicators - categorised into institutional, governance, and outcome dimensions were to utilized to calculate the sustainability index for each community. This finding indicate that communities in Java exhibit greater sustainability than those in Sumatra, as exhibit by their higher overall sustainability index (OSI). Java communities demonstrate superior performance in most institutional and governance indicators and derive enhanced socio-economic benefits from the SF program. Furthermore, the longevity of communities institutions and increased value of SF product's are indicative of more mature organizational governance and heightened entreprencurial capacity within these communities.

印度尼西亚社会林业（SF）计划在不同的计划和地理位置实施，需要进行严格的评估以评估其管理的有效性。本研究旨在通过在社区层面进行可持续性分析，比较爪哇岛和苏门答腊岛SF项目的实施情况。该研究包括六个社区，采用不同的SF方案，20个指标-分为制度，治理和结果维度，用于计算每个社区的可持续性指数。这一发现表明，爪哇岛的社区比苏门答腊岛的社区表现出更强的可持续性，正如其更高的总体可持续性指数（OSI）所显示的那样。Java社区在大多数制度和治理指标上表现优异，并从SF计划中获得了增强的社会经济效益。此外，社区机构的寿命和SF产品价值的增加表明这些社区中更成熟的组织治理和更高的创业能力。

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引用次数: 0