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Thinning enhances hydraulic safety but not growth resistance to drought in Atlas cedar on the long-term 从长期来看,疏林提高了阿特拉斯雪松的水力安全性,但不利于其抗旱性
IF 5.7 1区 农林科学 Q1 AGRONOMY Pub Date : 2026-03-01 Epub Date: 2026-01-12 DOI: 10.1016/j.agrformet.2026.111019
Léa Veuillen , Guillaume Simioni , Miquel De Cáceres , Eric Badel , Simon D. Carrière , Hervé Cochard , François Courbet , Claude Doussan , Arsène Druel , Jean Ladier , Bernard Prévosto , Kevyn Raynal , Nicolas Martin-StPaul
Reducing forest stand density through thinning has the potential to improve tree vigor and mitigate hydraulic risk as it reduces competition for water, thereby improving soil water availability at the tree level. However, these positive effects might be compensated over time by the growth of the remaining trees and understory, an aspect that remains understudied. We investigated the long-term effects of thinning on vegetation regrowth, growth resistance to drought and hydraulic risk in a 1968 Cedrus atlantica plantation in southeastern France where contrasting thinning intensities were applied in 1992, resulting in stand densities of 1200 (unthinned control), 800, 600 and 400 trees.ha-1. Field measurements were conducted in 2017, 25 years after thinning, during the most severe drought since the trial’s establishment. To explore underlying mechanisms, they were complemented by a modeling test using SurEau within the cohort-based model MEDFATE.
Our results show that 25 years after thinning, despite similar stand leaf area index across all thinning treatments, trees in thinned stands exhibited significantly higher growth and reduced hydraulic risk (i.e., higher water potential, wider hydraulic safety margins, lower native embolism) than in the unthinned control. Model simulations suggest that this long-term reduction of hydraulic risk by thinning may result from niche partitioning between the overstory and the understory, either spatially (due to differences in rooting depth) or temporally (due to differences in ecophysiological properties). Interestingly, growth resistance to drought did not differ significantly among thinning treatments. Our results emphasize the potential long-lasting role of thinning in reducing hydraulic risk despite vegetation regrowth. Moreover, this study shows that ecophysiological indicators provide a more accurate understanding of tree drought responses during a specific drought event than the commonly used growth-based indicators.
通过间伐减少林分密度有可能提高树木活力和减轻水力风险,因为它减少了对水的竞争,从而提高了树木水平的土壤水分有效性。然而,随着时间的推移,这些积极的影响可能会被剩余的树木和林下植被的生长所补偿,这方面的研究仍未充分。我们研究了疏伐对法国东南部1968年大西洋杉木人工林植被再生、抗旱性和水力风险的长期影响。1992年,该人工林采用不同的疏伐强度,林分密度分别为1200棵(未疏伐对照)、800棵、600棵和400棵。在试验建立以来最严重的干旱期间,在2017年进行了现场测量,即减薄25年后。为了探索潜在的机制,在基于队列的MEDFATE模型中使用SurEau进行建模检验。
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引用次数: 0
Future viability of European vineyards using bioclimatic climate analogues 使用生物气候类似物的欧洲葡萄园的未来生存能力
IF 5.7 1区 农林科学 Q1 AGRONOMY Pub Date : 2026-03-01 Epub Date: 2025-12-13 DOI: 10.1016/j.agrformet.2025.110978
Héloïse Allaman , Stéphane Goyette , Pierre-Henri Dubuis , Jérôme Kasparian
Climate change is reshaping the geography of viticulture, threatening traditional wine regions while opening opportunities for new ones. This study applies a climate analogues approach to assess how European vineyards may evolve and/or shift under future climate scenarios. We tailor the method to viticulture by integrating bioclimatic indices related to vine growth and disease risks, correcting for vineyard-scale topography, and accounting for redundancy between the indices.
Our analysis supports both adaptation, by identifying present-day locations resembling future vineyard climates, and prospective expansion, by revealing regions with emerging suitability. We find that temperature-related indices related to plant growth drive north–south and elevation shifts, while pathogen-related indices-linked to humidity and precipitation-cause notable east–west displacements. While northern Europe may become thermally suitable for vine-growing by the end of the 21th century, its projected high humidity could intensify disease pressure, potentially limiting its long-term sustainability.
气候变化正在重塑葡萄种植的地理格局,威胁着传统的葡萄酒产区,同时也为新的葡萄酒产区创造了机会。本研究采用气候模拟方法来评估欧洲葡萄园在未来气候情景下的演变和/或变化。我们通过整合与葡萄生长和疾病风险相关的生物气候指数,校正葡萄园尺度地形,并考虑指数之间的冗余度,为葡萄栽培量身定制方法。
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引用次数: 0
Decoding carbon allocation in boreal forests: Integrating multi-proxy observations and process-based modelling 解码北方森林的碳分配:整合多代理观测和基于过程的建模
IF 5.7 1区 农林科学 Q1 AGRONOMY Pub Date : 2026-03-01 Epub Date: 2025-11-30 DOI: 10.1016/j.agrformet.2025.110923
Paulina F. Puchi , Daniela Dalmonech , Daniele Castagneri , Giancarlo Genovese , Warren Helgason , Myroslava Khomik , Lorenzo Brilli , Alessio Collalti
Understanding how photosynthetic carbon (C) is allocated to woody biomass remains a critical gap in predicting forest responses to climate change, especially in cold-limited ecosystems, due to the pervasive lack of comprehensive carbon-based data at the whole-stand level. We applied a multi-proxy approach integrating eddy covariance, process-based modelling, and quantitative wood anatomy to assess C fluxes and stem-level C allocation in two mature boreal stands in Canada—black spruce (Picea mariana Mill.) and jack pine (Pinus banksiana Lamb.)—from 1999 to 2021.
At both stands, we found that stem structural C allocation (measured as cell wall area, CWA) was tightly coupled with observed and modelled gross primary productivity (GPP). Modelled non-structural carbohydrates (NSC) dynamics revealed contrasting temporal patterns between species: jack pine showed an immediate response to available NSC and annual CWA, suggesting an active role of NSC in supporting growth under fluctuating environmental conditions. In contrast, black spruce exhibited a delayed effect, suggesting a more passive and buffering role of NSC in stem structural C allocation. Notably, at the jack pine site, extreme cold years corresponded to reduced CWA alongside elevated NSC concentrations, which might indicate a shift in C allocation priorities toward storage over growth. Our findings, based on a multi-proxy approach, provide novel insights into species-specific and possible trade-offs between storage and growth, useful for improving C budget models and adaptive forest management under climate change.
了解光合作用碳(C)如何分配给木质生物质仍然是预测森林对气候变化响应的关键空白,特别是在寒冷限制的生态系统中,由于普遍缺乏全林分水平的综合碳基础数据。我们采用了一种多代理方法,将涡旋相关方差、基于过程的建模和定量木材解剖相结合,评估了加拿大两种成熟北方林分——黑云杉(Picea mariana Mill.)和杰克松(Pinus banksiana Lamb.)的碳通量和茎级碳分配。-从1999年到2021年。在两个林分中,我们发现茎结构C分配(以细胞壁面积(CWA)衡量)与观测和模拟的总初级生产力(GPP)紧密耦合。模拟的非结构性碳水化合物(NSC)动态揭示了物种间不同的时间模式:短叶松对可用的NSC和年度CWA表现出即时响应,表明NSC在波动环境条件下支持生长的积极作用。而黑云杉则表现出延迟效应,说明NSC在树干结构C分配中起着更为被动和缓冲的作用。值得注意的是,在短叶松地区,极端寒冷的年份对应于CWA的减少和NSC浓度的升高,这可能表明碳分配优先于储存而不是生长。我们的研究结果基于多代理方法,为物种特异性和储存与生长之间可能的权衡提供了新的见解,有助于改进气候变化下的碳收支模型和适应性森林管理。
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引用次数: 0
Corrigendum to “Spring phenology in subtropical trees: Developing process-based models on an experimental basis” [Agricultural and Forest Meteorology 314 (2022) 108802] “亚热带树木春季物候:在实验基础上开发基于过程的模型”[农林气象314(2022)108802]的勘误表。
IF 5.7 1区 农林科学 Q1 AGRONOMY Pub Date : 2026-03-01 Epub Date: 2025-12-13 DOI: 10.1016/j.agrformet.2025.110981
Rui Zhang , Jianhong Lin , Fucheng Wang , Nicolas Delpierre , Koen Kramer , Heikki Hänninen , Jiasheng Wu
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引用次数: 0
Heat wave impacts on tree growth and recovery in temperate forests depend on leaf phenology 热浪对温带森林树木生长和恢复的影响取决于叶片物候
IF 5.7 1区 农林科学 Q1 AGRONOMY Pub Date : 2026-03-01 Epub Date: 2026-01-08 DOI: 10.1016/j.agrformet.2026.111020
Ilaria Bonfanti , J. Julio Camarero , Cristina Valeriano , Ángel Fernández-Cortés , Nicoletta Cannone
Climate change is leading to more frequent and severe extreme climate events, such as hot spells. However, we lack information on how trees recover after heat waves in terms of wood anatomy, radial growth (basal area increment, BAI), and wood δ13C, a proxy of intrinsic water-use efficiency (iWUE). This lack of information on recovery is notable in temperate forests, where heat waves reduce productivity and trigger canopy dieback. We filled this research gap by assessing the impacts of the 2022 heat wave on two temperate forests located at high (Cernobbio) and low elevation (Monza) sites in northern Italy. Eight winter-deciduous tree species were sampled with different leaf phenology (early leafing species, Betula pendula, Quercus robur; intermediate leafing species, Fagus sylvatica, Acer pseudoplatanus; and late leafing species, Tilia cordata, Castanea sativa, Fraxinus excelsior, Quercus pubescens). Some species experienced a severe BAI reduction during 2022 (B. pendula, -58%; Q. robur, -48 %), others showed a moderate drop (A. pseudoplatanus, -5 %; F. excelsior, -5 to -34 %; T. cordata, -29 %; C. sativa, -25 %; Q. pubescens, -18 %), whereas F. sylvatica showed a slight increase (+ 3 %). Negative growth legacies were detected in F. excelsior at the low-elevation site. F. excelsior, A. pseudoplatanus and Q. pubescens were the most sensitive species to summer maximum temperatures and drought severity. In the case of A. pseudoplatanus, the ray parenchyma fraction declined in 2022, indicating lower C storage. A. pseudoplatanus (-26.1‰) and F. excelsior (-25.6 ‰) showed the highest wood δ13C values. Radial growth data indicate that the two early leafing species were the most negatively impacted by heat stress.
气候变化正在导致更加频繁和严重的极端气候事件,如炎热天气。然而,在木材解剖、径向生长(基底面积增量,BAI)和木材δ13C(内在水分利用效率(iWUE)的代表)方面,我们缺乏关于树木如何在热浪后恢复的信息。在温带森林中,关于恢复的信息的缺乏是值得注意的,在温带森林中,热浪降低了生产力并引发树冠枯死。我们通过评估2022年热浪对位于意大利北部高海拔(Cernobbio)和低海拔(Monza)的两个温带森林的影响来填补这一研究空白。8种不同叶物候的冬落叶乔木(早叶种:白桦、栎),中叶种:木fagus sylvatica、pseudoplatanus,晚叶种:天麻、木栗、黄曲霉、短毛栎)。2022年,一些物种的BAI出现了严重的下降(B. pendula, -58%; Q. robur, - 48%),其他物种的BAI出现了中度下降(a . pseudoplatanus, - 5%; F. excelsior, -5 - - 34%; T. cordata, - 29%; C. sativa, - 25%; Q. pubescens, - 18%),而F. sylvatica略有增加(+ 3%)。在低海拔地区发现了负生长遗传。对夏季最高温度和干旱程度最敏感的树种为精竹、假扁桃和短毛栎。2022年,刺槐射线薄壁分数下降,表明碳储量较低。拟platanus(-26.1‰)和excelsior(-25.6‰)的木材δ13C值最高。径向生长数据表明,这两种早叶树种受热胁迫的负面影响最大。
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引用次数: 0
Greenhouse gas fluxes in a managed floodplain forest in the Amazon estuary 亚马逊河口管理泛滥平原森林的温室气体通量
IF 5.7 1区 农林科学 Q1 AGRONOMY Pub Date : 2026-03-01 Epub Date: 2025-12-10 DOI: 10.1016/j.agrformet.2025.110979
Mario Flores Aroni , José Henrique Cattanio , Mário Augusto Gonçalves Jardim , Steel Silva Vasconcelos , Claudio José Reis de Carvalho , Rafaela Sales de Morais , Edite Torres Maia
The exchange of carbon dioxide (CO2) and methane (CH4) between the soil and the atmosphere in the Amazonian estuarine forests remains poorly quantified, obscuring their role in the greenhouse effect. However, the spatial and temporal variability of these gases needs to be better understood, mainly because of the constant occurrence of floods in this ecosystem. This is the first annual study that uses the closed dynamic chamber method to quantify CO2 and CH4 fluxes in relation to floristic composition and environmental variables in a floodplain forest in the Amazon estuary. The average soil flux was 13.60 g CO2 m-2 d-1 and 176.92 mg CH4 m-2 d-1, both presenting spatial and temporal variations. Soil CO2 flux was higher in the high topography areas and in the rainy season, and the CH4 flux was higher in the low topography areas and also in the rainy season. Greenhouse gas fluxes from soil in the Amazon floodplain are controlled by topography, which influences key determinants such as moisture (as water table height) soil temperature, and the soil carbon content. In this sense, the balance between carbon production and consumption depends on the hydrological conditions and the duration of floods, which can change under conditions of climate change.
在亚马逊河口森林中,土壤和大气之间的二氧化碳(CO2)和甲烷(CH4)交换仍然缺乏量化,模糊了它们在温室效应中的作用。然而,这些气体的时空变化需要更好地了解,主要是因为该生态系统中不断发生洪水。这是首次使用封闭动态室方法量化亚马逊河口洪泛区森林植物区系组成和环境变量之间的CO2和CH4通量的年度研究。土壤通量平均为13.60 g CO2 m-2 d-1和176.92 mg CH4 m-2 d-1,两者均存在时空差异。土壤CO2通量在高地形区和雨季较高,CH4通量在低地形区和雨季较高。亚马逊河漫滩土壤的温室气体通量受地形控制,地形影响着湿度(如地下水位高度)、土壤温度和土壤碳含量等关键决定因素。从这个意义上说,碳生产和消耗之间的平衡取决于水文条件和洪水的持续时间,这些条件在气候变化的条件下会发生变化。
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引用次数: 0
The intra-annual tree-ring δ18O records from the northeastern Tibetan Plateau can reflect seasonal variations of relative humidity and the intra-annual distribution of precipitation 青藏高原东北部年际树木年轮δ18O记录可以反映相对湿度的季节变化和降水量的年际分布
IF 5.7 1区 农林科学 Q1 AGRONOMY Pub Date : 2026-03-01 Epub Date: 2026-01-09 DOI: 10.1016/j.agrformet.2025.111015
Kai Wang , Xiaohua Gou , Takeshi Nakatsuka , Yiran Zhang , Tao Wang , Linlin Gao , Yang Deng , Zhen Li , Kaixuan Yang , Xuan Li , Chongshan Wang , Zibo Wang
The intra-annual distribution of precipitation has a significant impact on vegetation growth in arid and semi-arid regions. Intra-annual variations in tree-ring cellulose oxygen isotope ratios (δ18Otree) can capture seasonal climate signals. In this study, we collected tree-ring cores of Picea crassifolia from three sampling sites in the northeastern Tibetan Plateau and established both interannual and intra-annual δ18Otree series spanning approximately the past 30 years. We found that all three sites exhibited a consistent pattern of intra-annual variation, with δ18Otree values gradually decreasing from earlywood to latewood reflecting the relative humidity of the corresponding growth periods. Further analysis revealed that the amplitude of intra-annual variations in δ18Otree can indicate the intra-annual distribution of precipitation, specifically the difference in precipitation amounts between the late and early growing season. Additionally, when examining the relationship between annual-resolution and intra-annual-resolution δ18Otree series, we found that annual-resolution δ18Otree primarily reflect the isotopic signals corresponding to the periods of fastest tree growth within the year. Our findings provide valuable insights into the interpretation of annual-resolution δ18Otree signals and the investigation of seasonal moisture variations in arid and semi-arid regions under the context of climate change.
降水量的年际分布对干旱半干旱区植被生长有显著影响。树木年轮纤维素氧同位素比值(δ18Otree)的年际变化可以捕捉季节气候信号。本研究在青藏高原东北部3个采样点采集了粗叶云杉(Picea crassifolia)树木年轮核,建立了近30年的年际和年内δ18Otree序列。研究发现,3个样地的δ18Otree值从早木到晚木逐渐减小,反映了相应生长期的相对湿度。进一步分析表明,δ18Otree的年际变化幅度可以反映降水量的年际分布,特别是生长季后期和早期的降水量差异。此外,对年分辨δ18Otree序列与年内分辨δ18Otree序列的关系进行了分析,发现年分辨δ18Otree主要反映了一年中树木生长最快时期对应的同位素信号。研究结果为气候变化背景下干旱半干旱区年分辨δ18Otree信号的解释和季节湿度变化的研究提供了有价值的见解。
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引用次数: 0
Will epiphyte loss exacerbate climate change effects in tropical montane cloud forests? 热带山地云雾林的附生植物损失是否会加剧气候变化的影响?
IF 5.7 1区 农林科学 Q1 AGRONOMY Pub Date : 2026-03-01 Epub Date: 2026-01-04 DOI: 10.1016/j.agrformet.2025.111008
Damon Vaughan , Sybil G. Gotsch , Lauren Lowman , Todd E. Dawson , Nalini M. Nadkarni , John T. Van Stan II , Pablo José Gutiérrez-Campos , Elenter Cubero-Campos
Epiphytes in tropical montane cloud forests (TMCFs) are vulnerable to decline and mortality as cloud base heights gradually rise, diminishing a vital source of moisture. Despite epiphytes’ key roles in TMCF ecosystems, few studies have assessed the potential effects of their loss on host tree health and hydrological processes. To investigate potential cascading effects, we conducted a replicated whole-tree epiphyte removal experiment in a TMCF near Monteverde, Costa Rica. The study consisted of ten pairs of trees where we removed all epiphytes (vascular and non-vascular) and arboreal soil mats from experimental trees, while leaving canopy communities intact in nearby control trees. Five pairs were in contiguous forest; the remaining five pairs consisted of trees in isolated pasture areas. Microclimate monitoring in multiple crown locations of study trees revealed that epiphyte removal was linked to increases in key drying variables such as solar radiation and wind speed. Surprisingly, epiphyte removal also contributed to wetting by allowing increased cloud and rain penetration into crown interiors. Our data also indicate that epiphyte loss increased the ratio of sensible to latent heat flux, which in our study was associated with a 0.48 increase in stripped tree Bowen ratios. Some effects of epiphyte removal were smaller than expected, which could be explained by the highly humid and wet atmosphere of TMCFs. Under future climatic conditions that are expected to be drier and hotter, we suggest that it is possible that effects of epiphyte loss will be more severe. Landscape-scale processes could also be influenced, as increased Bowen ratios represent shifts in surface energy partitioning and boundary-layer development that can further elevate the cloud base.
热带山地云雾林(tmcf)中的附生植物随着云底高度的逐渐上升而容易衰退和死亡,从而减少了重要的水分来源。尽管附生植物在TMCF生态系统中发挥着关键作用,但很少有研究评估它们的丧失对宿主树木健康和水文过程的潜在影响。为了研究潜在的级联效应,我们在哥斯达黎加Monteverde附近的TMCF中进行了一项重复的全树附生植物去除实验。该研究包括10对树木,我们从实验树上去除所有附生植物(维管和非维管)和树栖土壤垫,而在附近的对照树上保留完整的冠层群落。5对在毗连林中;剩下的五对由孤立的牧场地区的树木组成。在研究树木的多个树冠位置进行的小气候监测显示,附生真菌的去除与太阳辐射和风速等关键干燥变量的增加有关。令人惊讶的是,附生菌的去除也通过增加云和雨水渗透到树冠内部来促进湿润。我们的数据还表明,附生植物的损失增加了感热通量与潜热通量的比值,在我们的研究中,感热通量与潜热通量的比值增加了0.48。一些附生菌的去除效果比预期的要小,这可能是由于tmcf的高度潮湿和潮湿的大气所致。在未来更加干燥和炎热的气候条件下,我们认为附生植物损失的影响可能会更加严重。景观尺度过程也可能受到影响,因为鲍文比的增加代表了地表能量分配和边界层发展的变化,这可以进一步提升云基。
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引用次数: 0
Data-driven modelling of methane fluxes across a mire complex based on replicated eddy covariance measurements and spatially-resolved driver information 基于重复涡动相关测量和空间分辨驱动信息的沼泽复合体甲烷通量数据驱动建模
IF 5.7 1区 农林科学 Q1 AGRONOMY Pub Date : 2026-03-01 Epub Date: 2025-12-30 DOI: 10.1016/j.agrformet.2025.111002
Koffi Dodji Noumonvi , Mats B. Nilsson , Natascha Kljun , Joshua L. Ratcliffe , Mats G. Öquist , Johan E.S. Fransson , Matthias Peichl
Northern mires are significant natural sources of atmospheric methane (CH4), yet estimating CH4 emissions remains challenging due to their complex spatio-temporal dynamics. While eddy covariance (EC) measurements provide valuable insights into ecosystem-scale CH4 fluxes (FCH4) over mire areas typically < 0.05 km², the predictability of FCH4 at the mesoscale (∼0.5 – 20 km²) of a mire complex based on single-site EC measurements has not been explored. In this study, we utilized a network of four EC towers and developed a machine learning approach that integrates these EC data with comprehensive spatial information on drivers to predict FCH4 across a boreal mire complex in Northern Sweden. For this purpose, environmental driver variables were mapped and area-weighted within dynamic EC flux footprints and related to FCH4 in a spatially-explicit random forest model (‘footprint-based model’). For comparison, we also considered a standard random forest model used for gapfilling of FCH4 data that is based on environmental measurements from fixed sensor locations (‘biomet model’). For both models, variable importance analysis revealed NDVI as the strongest predictor of temporal FCH4 patterns, followed by air pressure, soil temperature and water table. Adjusting for site-specific carbon-to-nitrogen (C:N) ratios substantially improved model performance. Both models significantly improved estimates of the mire complex average FCH4 compared to simple extrapolation of single-site measurements, reducing the uncertainty from ∼22 % in 2022 and 32 % in 2023 to <10 % and <25 % for the footprint-based model, and to <11 % and <30 % for the biomet model, respectively. Overall, our findings suggest that the comprehensive spatially-resolved driver information resulted in only marginally improved model performance at our study site. In comparison, the biomet model offers practical advantages through simpler implementation and wider applicability. However, we encourage testing the footprint-based model approach at other more heterogenous sites where it might become superior due to its ability to account for complex site conditions.
北方矿井是大气甲烷(CH4)的重要天然来源,但由于其复杂的时空动态,估算CH4排放量仍然具有挑战性。虽然涡旋相关方差(EC)测量为典型为0.05 km²的沼泽地区生态系统尺度的CH4通量(FCH4)提供了有价值的见解,但基于单点EC测量的沼泽复发区中尺度(~ 0.5 - 20 km²)的FCH4的可预测性尚未得到探讨。在这项研究中,我们利用了四个EC塔的网络,并开发了一种机器学习方法,将这些EC数据与驾驶员的综合空间信息相结合,以预测瑞典北部北方沼泽复杂地区的FCH4。为此,在一个空间明确的随机森林模型(“基于足迹的模型”)中,对动态EC通量足迹中的环境驱动变量进行了映射和面积加权,并与FCH4相关。为了进行比较,我们还考虑了一个标准的随机森林模型,用于基于固定传感器位置的环境测量的FCH4数据的空白填充(“生物群落模型”)。变量重要性分析表明,NDVI是预测FCH4时间格局的最强因子,其次是气压、土壤温度和地下水位。调整特定地点的碳氮比(C:N)大大提高了模型的性能。与单站点测量的简单外推相比,这两种模式都显著提高了泥沼复杂平均FCH4的估计值,将不确定性从2022年的~ 22%和2023年的32%降低到基于足迹的模式的10%和25%,以及生物群落模式的11%和30%。总的来说,我们的研究结果表明,在我们的研究地点,全面的空间分辨驾驶员信息只会略微提高模型的性能。相比之下,生物元模型实现更简单,适用性更广,具有实际优势。然而,我们鼓励在其他更异质的站点上测试基于足迹的模型方法,因为它能够解释复杂的站点条件,因此它可能会变得更优越。
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引用次数: 0
Design and performance evaluation of a UAV-relayed LoRaWAN network for microclimate monitoring of standing live trees in forests 无人机中继LoRaWAN网络的设计与性能评估,用于森林中直立活树的小气候监测
IF 5.7 1区 农林科学 Q1 AGRONOMY Pub Date : 2026-03-01 Epub Date: 2025-12-03 DOI: 10.1016/j.agrformet.2025.110968
Yuewei Ma , Yuan He , Wenbin Li , Qingsong Li , Heng Chen
Effective monitoring of forest microclimates—including tree, soil, and atmospheric conditions—is essential for understanding ecosystem dynamics and advancing forest management. Yet, in dense or primary forests, traditional wireless sensor networks (WSNs) and existing IoT systems are limited by signal attenuation, restricted range, energy demands, and insufficient sensing depth. Integrated systems capable of stable wireless communication and environmental monitoring, together with evaluation of RF signals, remain lacking. Potential coupling between signal behavior and microclimate is also underexplored. This study proposes and evaluates an AI–IoT framework tailored to a closed-canopy forest stand, composed of: (1) multi-source nodes that monitor trunk, soil, and air microclimate variables while recording RSSI for link-quality tracking; (2) a UAV-relayed LoRaWAN system in which a UAV-mounted gateway ascends from the forest floor to above the canopy, enabling height-resolved propagation analysis and modeling of RSSI as a function of distance and elevation; and (3) a cloud-based platform that receives data streams and supports environmental monitoring and short-term forecasting via LSTM models. Field experiments at the study stand showed that elevating the UAV gateway to 50 m improved RSSI by >30 dB and reduced packet loss from over 60 % to below 5 % over ∼1 km. The LSTM model achieved high predictive fidelity for temperature- and humidity-related variables, with mean absolute percentage errors typically below 5 %, while soil and intermittent meteorological variables exhibited moderate to lower accuracy. By jointly analyzing RSSI and co-located microclimate observations within the above-canopy clearance zone characteristic of the Baicaowa stand, the framework provides preliminary, site-specific evidence of short-term coupling between signal strength and the thermo-hydric state of trees and soils. These relationships remain correlative and specific to the monitored stand and period, and their generality and causal mechanisms will require cross-site, multi-season, and experimental validation.
有效监测森林小气候——包括树木、土壤和大气条件——对于了解生态系统动态和推进森林管理至关重要。然而,在茂密或原始森林中,传统的无线传感器网络(wsn)和现有的物联网系统受到信号衰减、受限范围、能量需求和传感深度不足的限制。能够稳定的无线通信和环境监测以及射频信号评价的综合系统仍然缺乏。信号行为与小气候之间的潜在耦合也未得到充分探讨。本研究提出并评估了一个针对封闭冠层林分的AI-IoT框架,该框架由:(1)监测树干、土壤和空气微气候变量的多源节点组成,同时记录RSSI以进行链路质量跟踪;(2)无人机中继的LoRaWAN系统,其中无人机安装的网关从森林地面上升到冠层以上,实现RSSI作为距离和海拔函数的高度分辨传播分析和建模;(3)基于云的平台,接收数据流,并通过LSTM模型支持环境监测和短期预报。研究站的现场实验表明,将无人机网关提升到50米可将RSSI提高30 dB,并在1公里内将数据包丢包率从60%以上降低到5%以下。LSTM模型对温度和湿度相关变量的预测保真度很高,平均绝对百分比误差通常低于5%,而土壤和间歇性气象变量的预测精度为中等至较低。通过联合分析RSSI和同地小气候观测数据,该框架为信号强度与树木和土壤热水状态之间的短期耦合提供了初步的立地特异性证据。这些关系仍然与监测的林分和时期相关且特定,其普遍性和因果机制将需要跨站点、多季节和实验验证。
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Agricultural and Forest Meteorology
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