https://www.frontiersin.org/journals/forests-and-global-change RSS Feed for Frontiers in Forests and Global Change | New and Recent Articles en-us Frontiers Feed Generator,version:1 2026-05-24T17:18:34.72+00:00 60 https://www.frontiersin.org/articles/10.3389/ffgc.2026.1770765 https://www.frontiersin.org/articles/10.3389/ffgc.2026.1770765 2026-05-21T00:00:00Z Original Research Novelia TrianaTakahiro OtaSunhee Suk https://www.frontiersin.org/articles/10.3389/ffgc.2026.1823185 https://www.frontiersin.org/articles/10.3389/ffgc.2026.1823185 2026-05-21T00:00:00Z Original Research Peng WeiweiSahar ErfanianQuo Qing https://www.frontiersin.org/articles/10.3389/ffgc.2026.1839862 https://www.frontiersin.org/articles/10.3389/ffgc.2026.1839862 2026-05-19T00:00:00Z Original Research LinHong LuoXiangJun PeiXin LuoYouBang HuLin LuoNa TangYongHui DuChunzhang Zhao https://www.frontiersin.org/articles/10.3389/ffgc.2026.1824795 https://www.frontiersin.org/articles/10.3389/ffgc.2026.1824795 2026-05-18T00:00:00Z Perspective Erin BuchholzNate LundLee FrelichKyungsoo Yoo https://www.frontiersin.org/articles/10.3389/ffgc.2026.1702966 https://www.frontiersin.org/articles/10.3389/ffgc.2026.1702966 2026-05-15T00:00:00Z Original Research Suresh C. SubediBinaya AdhikariNaja RoverShivish Bhandari https://www.frontiersin.org/articles/10.3389/ffgc.2026.1815758 https://www.frontiersin.org/articles/10.3389/ffgc.2026.1815758 2026-05-15T00:00:00Z Original Research Benas ŠilinskasEdgaras LinkevičiusLina BeniušienėMarius AleinikovasJulija KonstantinavičienėRaimundas Vikšniauskas https://www.frontiersin.org/articles/10.3389/ffgc.2026.1799431 https://www.frontiersin.org/articles/10.3389/ffgc.2026.1799431 2026-05-15T00:00:00Z Data Report Angelo FierravantiTeresa Fonseca https://www.frontiersin.org/articles/10.3389/ffgc.2026.1820808 https://www.frontiersin.org/articles/10.3389/ffgc.2026.1820808 2026-05-14T00:00:00Z Original Research Andreas NikodemusMiroslav HájekRosemary ShikangalahRatna Chrismiari PurwestriDiana Carolina Huertas BernalNia Novita WirawanAlbertina NdeinomaPenelao Nangolo https://www.frontiersin.org/articles/10.3389/ffgc.2026.1811525 https://www.frontiersin.org/articles/10.3389/ffgc.2026.1811525 2026-05-14T00:00:00Z Original Research Jiacheng ZhangXingjian DunWei ChengWentai ZhaoYusong HouJiangbao XiaShimei Li https://www.frontiersin.org/articles/10.3389/ffgc.2026.1844787 https://www.frontiersin.org/articles/10.3389/ffgc.2026.1844787 2026-05-13T00:00:00Z Original Research Jenny Magaly Morocho ToazaStelian Alexandru Borz 0.05). In contrast, the professional scanner exhibited significant seasonal variation (p < 0.05). These results suggest that smartphone-based LiDAR can produce reliable stand-level BA estimates while significantly improving overall efficiency.]]> https://www.frontiersin.org/articles/10.3389/ffgc.2026.1809572 https://www.frontiersin.org/articles/10.3389/ffgc.2026.1809572 2026-05-13T00:00:00Z Original Research Oussama MeghithiAliat ToufikAfnan Abdullah AlturkiNazih Y. RebouhErkin KholiyarovMirjalol IsmoilovSobhi Abdelhameed AbdeljawadYoussef M. YoussefMohamed S. Shokr https://www.frontiersin.org/articles/10.3389/ffgc.2026.1809414 https://www.frontiersin.org/articles/10.3389/ffgc.2026.1809414 2026-05-13T00:00:00Z Original Research Dan Traian IonescuCălin Vasile HodorIon Cătălin PetrițanDarius HardalauDaniel IordacheOana Viorica Danci 70 years), and stands containing at least 10% oak. Snag density did not differ significantly between plots with and without Middle-spotted Woodpecker, yet occupied plots contained taller and thicker snags, with predicted occurrence probabilities highest at DBH > 60 cm and height > 25 m. No significant differences were found for basal area or volume. In predominantly beech stands, the species’ presence appeared to be influenced by the availability of standing dead wood and the presence of rough-barked species. These findings confirm the species’ strong association with mature deciduous forests, particularly where oak is present. The increasing probability of occurrence with higher oak proportions in standing dead wood underscores the ecological importance of conserving large, old trees and mixed forest structures for Middle-spotted Woodpecker persistence.]]> https://www.frontiersin.org/articles/10.3389/ffgc.2026.1805175 https://www.frontiersin.org/articles/10.3389/ffgc.2026.1805175 2026-05-12T00:00:00Z Original Research Garrett B. LeonardChrista M. DagleyJohn-Pascal Berrill https://www.frontiersin.org/articles/10.3389/ffgc.2026.1782331 https://www.frontiersin.org/articles/10.3389/ffgc.2026.1782331 2026-05-08T00:00:00Z Original Research Andrew MilesEliana Torres-BedoyaAnna O. ConradPierluigi Bonello https://www.frontiersin.org/articles/10.3389/ffgc.2026.1842027 https://www.frontiersin.org/articles/10.3389/ffgc.2026.1842027 2026-05-08T00:00:00Z Original Research Dongyeob Kim 3) based on the minimum soil-depth condition required for instability. Under the baseline scenario (Cr = 0 kPa), the two highest hazard classes, D = 1 and D = 2, occupied 33.1 and 31.8% of the study area, respectively. Comparison with the 2008 landslide inventory showed that 94.2% of observed landslides were located within these two classes, indicating strong spatial consistency between modeled hazard patterns and historical landslide occurrence. Increasing root cohesion substantially reduced high-hazard areas: the D = 1 class decreased by approximately 89% at Cr = 2 kPa and was nearly eliminated at Cr ≥ 3 kPa. Critical root cohesion analysis further showed that 96.3% of the study area could be downgraded from the highest hazard class at Cr ≤ 2 kPa, whereas 52.8% did not reach the stable class (D > 3) even at Cr = 5 kPa. Catchment-scale prioritization across 745 forest catchments revealed a pronounced trade-off between the effectiveness of vegetation-based mitigation and the need for structural intervention (r = −0.740, p < 0.001). These findings indicate that vegetation reinforcement can effectively reduce severe landslide hazard across much of the study area, while structural measures remain necessary in selected catchments. The proposed framework provides a practical basis for integrating forest management and structural mitigation in regional landslide risk reduction planning.]]> https://www.frontiersin.org/articles/10.3389/ffgc.2026.1738900 https://www.frontiersin.org/articles/10.3389/ffgc.2026.1738900 2026-05-07T00:00:00Z Original Research Li Ming Rachel TeoLiyao YuXiangzhong Luo https://www.frontiersin.org/articles/10.3389/ffgc.2026.1813461 https://www.frontiersin.org/articles/10.3389/ffgc.2026.1813461 2026-05-05T00:00:00Z Original Research Isabel Alvarez MunckEliana Torres-BedoyaLin ChangMarc DiGirolomoDuccio MiglioriniFrancesco PecoriAlessia L. PeporiRebekka SchloesserPatrick SherwoodMichelle ClearyAlberto SantiniHui SunPierluigi (Enrico) Bonello https://www.frontiersin.org/articles/10.3389/ffgc.2026.1777333 https://www.frontiersin.org/articles/10.3389/ffgc.2026.1777333 2026-04-29T00:00:00Z Original Research Satish BhattNana TianYuhui WengDouglas OsborneJianbang Gan  50 cm). Additionally, applying response calibration to a subsample of trees localized these predictions and consistently reduced prediction errors relative to the uncalibrated population-average model. These findings suggest that the mixed-effects Weibull model is a robust and precise tool for predicting tree height and estimating volume for oak species in BLH forests of this region, providing a baseline for predicting biomass stock of these oak species and contributing to the development of biometric models to guide forest inventory, silvicultural practices, and forest management.]]> https://www.frontiersin.org/articles/10.3389/ffgc.2026.1784806 https://www.frontiersin.org/articles/10.3389/ffgc.2026.1784806 2026-04-28T00:00:00Z Original Research Tsikai Solomon ChinembiriOnisimo Mutanga https://www.frontiersin.org/articles/10.3389/ffgc.2026.1700338 https://www.frontiersin.org/articles/10.3389/ffgc.2026.1700338 2026-04-28T00:00:00Z Original Research Gangren ZhangSahar ErfanianRahim Maleknia