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Hurtado P, Espelta JM, Jaime L, Martínez‐Vilalta J, Kokolaki MS, Lindner M, Lloret F. Biodiversity and Management as Central Players in the Network of Relationships Underlying Forest Resilience. GLOBAL CHANGE BIOLOGY 2025; 31:e70196. [PMID: 40351244 PMCID: PMC12067180 DOI: 10.1111/gcb.70196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/15/2024] [Revised: 03/06/2025] [Accepted: 03/22/2025] [Indexed: 05/14/2025]
Abstract
Global change is threatening the integrity of forest ecosystems worldwide, amplifying the need for resilience-based management to ensure their conservation and sustain the services they provide. Yet, current efforts are still limited by the lack of implementation of clear frameworks for operationalizing resilience in decision-making processes. To overcome this limitation, we aim to identify reliable and effective drivers of forest resilience, considering their synergies and trade-offs. From a comprehensive review of 342 scientific articles addressing resilience in forests globally, we identified factors shaping forest resilience. We recognized them into two categories that influence forest responses to disturbances: resilience predictors, which can be modified through management, and codrivers, which are measurable but largely unmanageable (e.g., climate). We then performed network analyses based on predictors and codrivers underlying forest resilience. In total, we recognized 5332 such relationships linking predictors or codrivers with forest attributes resilience. Our findings support the central role of biodiversity, with mixed, non-planted, or functionally diverse forests promoting resilience across all contexts and biomes. While management also enhanced resilience, the success of specific interventions was highly context-dependent, suggesting that its application requires a careful analysis of trade-offs. Specifically, practices like cutting and prescribed burning generally enhanced resilience in terms of tree growth, plant diversity, landscape vegetation cover, and stand structure. In contrast, pest and herbivore control reduced the resilience of plant taxonomic diversity while offering only minimal gains for other variables. Even long-term restoration projects showed clear trade-offs in the resilience of different forest attributes, highlighting the need for careful consideration of these effects in practical management decisions. Overall, we emphasize that a reduced number of predictors can be used to effectively promote forest resilience across most attributes. Particularly, enhancing biodiversity and implementing targeted management strategies when biodiversity is impoverished emerge as powerful tools to promote forest resilience.
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Affiliation(s)
- Pilar Hurtado
- CREAF, E08193 Bellaterra (Cerdanyola del Vallès)CataloniaSpain
- DIFARUniversity of GenoaGenoaItaly
- Department of Biology and Geology, Physics and Inorganic ChemistryRey Juan Carlos UniversityMadridSpain
- Department of Biogeography and Global Change, Museo Nacional de Ciencias Naturales (MNCN‐CSIC)MadridSpain
| | | | - Luciana Jaime
- CREAF, E08193 Bellaterra (Cerdanyola del Vallès)CataloniaSpain
| | - Jordi Martínez‐Vilalta
- CREAF, E08193 Bellaterra (Cerdanyola del Vallès)CataloniaSpain
- Universitat Autònoma de BarcelonaBellaterraSpain
| | - Manto Samou Kokolaki
- Department of Natural Resources Development and Agricultural EngineeringAgricultural University of AthensAthensGreece
| | | | - Francisco Lloret
- CREAF, E08193 Bellaterra (Cerdanyola del Vallès)CataloniaSpain
- Universitat Autònoma de BarcelonaBellaterraSpain
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Laberge S, Courcot B, Trejo-Pérez R, Bélanger N. Soil CO 2 and CH 4 response to experimental warming under various tree species compositions in a temperate harwood forest. DISCOVER SOIL 2025; 2:21. [PMID: 40099210 PMCID: PMC11912556 DOI: 10.1007/s44378-025-00045-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/06/2024] [Accepted: 02/19/2025] [Indexed: 03/19/2025]
Abstract
Under climate change, some forest ecosystems appear to be transitioning into net source of carbon dioxide (CO2), raising questions about the future role of soil respiration rate (Rs), which depends on hydroclimatic conditions. Conversely, well-drained forest soils could become more significant sinks of methane (CH4) under warming. The main objective of this study was to assess the effects of artificial soil warming on Rs and CH4 fluxes in a sugar maple forest at the northern limit of Quebec temperate deciduous forests in eastern Canada, and to evaluate the effect of species composition on soil response to warming. We measured Rs and CH4 fluxes during the snow-free period of 2021 and 2022 in 32 plots distributed across three forest types, half of which were artificially heated by approximately 2 °C with heating cables. Forest soils were a very consistent sink for CH4 and it did not respond to artificial soil warming nor was it sensitive to variations in soil moisture, ionic activity in soil solution and forest types. However, we observed an increase in Rs in response to warming in the heated plots, but only up to a threshold of about 15 °C, beyond which Rs started to slow down in respect to the control plots. We also observed a weakening of the exponential relationship between Rs and soil temperature beyond this threshold. This trend varied across the forest types, with hardwood-beech stands being more sensitive to warming than mixedwoods and other hardwoods. This greater response of hardwood-beech stands to warming resulted in a more significant downshift of Rs, starting from a colder temperature threshold, around 10-12 °C. This study highlights a potential plateauing of Rs despite rising soil temperature, at least in eastern Canada's temperate deciduous forest, but this trend could vary from one forest type to another. Supplementary Information The online version contains supplementary material available at 10.1007/s44378-025-00045-4.
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Affiliation(s)
- Sharlène Laberge
- Data Science Laboratory, Université du Québec (TELUQ), Montreal, QC Canada
- Centre d’étude de la forêt, Université du Québec à Montréal, Montreal, QC Canada
| | - Blandine Courcot
- Data Science Laboratory, Université du Québec (TELUQ), Montreal, QC Canada
- Centre d’étude de la forêt, Université du Québec à Montréal, Montreal, QC Canada
| | - Rolando Trejo-Pérez
- Data Science Laboratory, Université du Québec (TELUQ), Montreal, QC Canada
- Centre d’étude de la forêt, Université du Québec à Montréal, Montreal, QC Canada
| | - Nicolas Bélanger
- Data Science Laboratory, Université du Québec (TELUQ), Montreal, QC Canada
- Centre d’étude de la forêt, Université du Québec à Montréal, Montreal, QC Canada
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Portela AP, Gonçalves JF, Durance I, Vieira C, Honrado J. Riparian forest response to extreme drought is influenced by climatic context and canopy structure. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 881:163128. [PMID: 37030365 DOI: 10.1016/j.scitotenv.2023.163128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 02/26/2023] [Accepted: 03/24/2023] [Indexed: 06/01/2023]
Abstract
Droughts significantly impact forest ecosystems, reducing forest health and productivity, compromising ecosystem functioning, and nature-based solutions for climate change. The response and resilience of riparian forests to drought are poorly understood despite their key role in the functioning of aquatic and terrestrial ecosystems. Here we investigate riparian forest drought responses and resilience to an extreme drought event at a regional scale. We also examine how drought event characteristics, average climate conditions, topography, soil, vegetation structure, and functional diversity shape the resilience of riparian forests to drought. We used a time series of the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) to calculate the resistance to and recovery after an extreme drought (2017-2018) in 49 sites across an Atlantic-Mediterranean climate gradient in North Portugal. We used generalized additive models and multi-model inference to understand which factors best explained drought responses. We found a trade-off between drought resistance and recovery (maximum r = -0.5) and contrasting strategies across the climatic gradient of the study area. Riparian forests in the Atlantic regions showed comparatively higher resistance, while Mediterranean forests recovered more. Canopy structure and climate context were the most relevant predictors of resistance and recovery. However, median NDVI and NDWI had not returned to pre-drought levels (RcNDWI mean = 1.21, RcNDVI mean = 1.01) three years after the event. Our study shows that riparian forests have contrasting drought response strategies and may be susceptible to extended legacy effects associated with extreme and/or recurring droughts, similarly to upland forests. This work highlights the drought vulnerability of riparian ecosystems and emphasises the need for further studies on long-term resilience to droughts.
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Affiliation(s)
- Ana Paula Portela
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal; Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4099-002 Porto, Portugal; BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal.
| | - João F Gonçalves
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal; BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal; proMetheus-Research Unit in Materials, Energy and Environment for Sustainability, Instituto Politécnico de Viana do Castelo (IPVC), Avenida do Atlântico, No. 644, 4900-348 Viana do Castelo, Portugal.
| | - Isabelle Durance
- Water Research Institute and School of Biosciences, Cardiff University, The Sir Martin Evans Building, Museum Avenue, Cardiff CF10 3AX, United Kingdom.
| | - Cristiana Vieira
- Museu de História Natural e da Ciência da Universidade do Porto (MHNC-UP/UPorto/PRISC), Praça Gomes Teixeira, 4099-002 Porto, Portugal..
| | - João Honrado
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal; Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4099-002 Porto, Portugal; BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal.
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Qiu B, Ye Z, Chen C, Tang Z, Chen Z, Huang H, Zhao Z, Xu W, Berry J. Dense canopies browning overshadowed by global greening dominant in sparse canopies. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 826:154222. [PMID: 35240174 DOI: 10.1016/j.scitotenv.2022.154222] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 02/21/2022] [Accepted: 02/25/2022] [Indexed: 06/14/2023]
Abstract
Greening, an increase in photosynthetically active plant biomass, has been widely reported as period-related and region-specific. We hypothesized that vegetation trends were highly density-dependent with intensified browning in dense canopies and increased greening in sparse canopies. We exploited this insight by estimating vegetation trends in peak growth from dense to sparse canopies graded from 1 to 20 using the non-parametric Mann-Kendall trend test based on the 500 m 8-day composite MODIS Near Infrared Reflectance of terrestrial vegetation (NIRv) time series datasets in the past two decades (2001-2019) at the global scale. We found that global greening increased by 1.42% per grade with strong fit before grade 15 (R2 = 0.95): net browning (11% browning vs 9% greening) exhibited in high-density canopies (NIRv > 0.39) in contrast to 32% greening in low-density canopies (NIRv ≈ 0.15). While the density-dependent greening was evidenced across different biomes and ecosystems, the steepest gradient (changes per grade) in cropland highlighted the increasingly intensified agricultural activities globally. Greening gradients declined in the dryland, but enhanced in the High-latitude ecosystems driven by warming, especially in the shrubland. Density-dependent vegetation trends were accounted for by the disproportionately impacts from climate changes and the unequal contributions of Land Cover Changes (LCC) among dense and sparse canopies. Vegetation trends and greening gradients could be extensively facilitated by Wetting or Decreasing solar Radiation (WDR), especially in sparse grassland and shrubland. Browning was dominant in dense canopies, which was further aggravated by Drying and Increasing solar Radiation (DIR), especially woody vegetation. This study implied the widespread degradation or mortality of highly productive vegetation hidden among global greening dominant in open ecosystems, which might be further exacerbated by the predicted increasing drought under global warming.
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Affiliation(s)
- Bingwen Qiu
- Key Laboratory of Spatial Data Mining &Information Sharing of the Ministry of Education, Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350116, Fujian, China; Department of Global Ecology, Carnegie Institution for Science, Stanford, CA 94305, USA.
| | - Zhiyan Ye
- Key Laboratory of Spatial Data Mining &Information Sharing of the Ministry of Education, Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350116, Fujian, China
| | - Chongcheng Chen
- Key Laboratory of Spatial Data Mining &Information Sharing of the Ministry of Education, Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350116, Fujian, China
| | - Zhenghong Tang
- Community and Regional Planning Program, University of Nebraska-Lincoln, Lincoln 68558, NE, USA
| | - Zuoqi Chen
- Key Laboratory of Spatial Data Mining &Information Sharing of the Ministry of Education, Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350116, Fujian, China
| | - Hongyu Huang
- Key Laboratory of Spatial Data Mining &Information Sharing of the Ministry of Education, Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350116, Fujian, China
| | - Zhiyuan Zhao
- Key Laboratory of Spatial Data Mining &Information Sharing of the Ministry of Education, Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350116, Fujian, China
| | - Weiming Xu
- Key Laboratory of Spatial Data Mining &Information Sharing of the Ministry of Education, Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350116, Fujian, China
| | - Joe Berry
- Department of Global Ecology, Carnegie Institution for Science, Stanford, CA 94305, USA
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