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Jin N, Yu X, Dong J, Duan M, Mo Y, Feng L, Bai R, Zhao J, Song J, Dossa GGO, Lu H. Vertical variation in leaf functional traits of Parashorea chinensis with different canopy layers. Front Plant Sci 2024; 15:1335524. [PMID: 38348271 PMCID: PMC10859428 DOI: 10.3389/fpls.2024.1335524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 01/08/2024] [Indexed: 02/15/2024]
Abstract
Introduction Canopy species need to shift their ecological adaptation to improve light and water resources utilization, and the study of intraspecific variations in plant leaf functional traits based at individual scale is of great significance for evaluating plant adaptability to climate change. Methods In this study, we evaluate how leaf functional traits of giant trees relate to spatial niche specialization along a vertical gradient. We sampled the tropical flagship species of Parashorea chinensis around 60 meters tall and divided their crowns into three vertical layers. Fourteen key leaf functional traits including leaf morphology, photosynthetic, hydraulic and chemical physiology were measured at each canopy layer to investigate the intraspecific variation of leaf traits and the interrelationships between different functional traits. Additionally, due to the potential impact of different measurement methods (in-situ and ex-situ branch) on photosynthetic physiological parameters, we also compared the effects of these two gas exchange measurements. Results and discussion In-situ measurements revealed that most leaf functional traits of individual-to-individual P. chinensis varied significantly at different canopy heights. Leaf hydraulic traits such as midday leaf water potential (MWP) and leaf osmotic potential (OP) were insignificantly correlated with leaf photosynthetic physiological traits such as maximal net assimilation rate per mass (A mass). In addition, great discrepancies were found between in-situ and ex-situ measurements of photosynthetic parameters. The ex-situ measurements caused a decrease by 53.63%, 27.86%, and 38.05% in A mass, and a decrease of 50.00%, 19.21%, and 27.90% in light saturation point compared to the in-situ measurements. These findings provided insights into our understanding of the response mechanisms of P. chinensis to micro-habitat in Xishuangbanna tropical seasonal rainforests and the fine scale adaption of different resultant of decoupled traits, which have implications for understanding ecological adaption strategies of P. chinensis under environmental changes.
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Affiliation(s)
- Nan Jin
- School of Ecology and Environment Science, Yunnan University, Kunming, China
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, China
- National Forest Ecosystem Research Station at Xishuangbanna, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, China
- Xishuangbanna Forest Ecosystem Yunnan Field Scientific Observation Research Station, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, China
| | - Xiaocheng Yu
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, China
- National Forest Ecosystem Research Station at Xishuangbanna, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, China
- Xishuangbanna Forest Ecosystem Yunnan Field Scientific Observation Research Station, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, China
| | - Jinlong Dong
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, China
- National Forest Ecosystem Research Station at Xishuangbanna, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, China
- Xishuangbanna Forest Ecosystem Yunnan Field Scientific Observation Research Station, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, China
| | - Mengcheng Duan
- Qianyanzhou Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Yuxuan Mo
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, China
| | - Leiyun Feng
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, China
- National Forest Ecosystem Research Station at Xishuangbanna, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, China
- Xishuangbanna Forest Ecosystem Yunnan Field Scientific Observation Research Station, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, China
| | - Rong Bai
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, China
- National Forest Ecosystem Research Station at Xishuangbanna, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, China
- Xishuangbanna Forest Ecosystem Yunnan Field Scientific Observation Research Station, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, China
| | - Jianli Zhao
- School of Ecology and Environment Science, Yunnan University, Kunming, China
| | - Jia Song
- School of Environmental and Geographical Science, Shanghai Normal University, Shanghai, China
| | - Gbadamassi Gouvide Olawole Dossa
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, China
| | - Huazheng Lu
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, China
- National Forest Ecosystem Research Station at Xishuangbanna, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, China
- Xishuangbanna Forest Ecosystem Yunnan Field Scientific Observation Research Station, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, China
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Jin S, Zhang E, Guo H, Hu C, Zhang Y, Yan D. Comprehensive evaluation of carbon sequestration potential of landscape tree species and its influencing factors analysis: implications for urban green space management. Carbon Balance Manag 2023; 18:17. [PMID: 37668811 PMCID: PMC10481583 DOI: 10.1186/s13021-023-00238-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 08/26/2023] [Indexed: 09/06/2023]
Abstract
BACKGROUND Continuous increasing carbon dioxide (CO2) has aggravated global warming and promoted urban tree planting projects for many countries. So it's imperative to select high carbon sequestering landscape tree species while considering their aesthetic values of urban green space. RESULTS 32 tree species were selected as test objects which were commonly used in landscaping in Zhengzhou, a typical northern city of China. To assess the comprehensive carbon sequestration potential of landscape tree species in different plant configuration types, we simultaneously considered their daily net carbon sequestration per unit leaf area (wCO2), daily net carbon sequestration per unit land area (WCO2) and daily net carbon sequestration of the whole plant (QCO2) through cluster analysis. Besides that, we found out the key factors affecting carbon sequestration potential of landscape tree species by redundancy analysis. CONCLUSION Populus, P Stenoptera, P. acerifolia among large arbors (LA), V odoratissimum, P. Serratifolia, S. oblata among small arbors (SA), and B sinica var. Parvifolia, B. Megistophylla, L quihoui among shrubs (S) were recommended for local urban green space management. Photosynthetic rate (Pn), crown area (CA) and leaf area index (LAI) were the key factors which affected the comprehensive carbon sequestration potential both for LA, SA and S.
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Affiliation(s)
- Shanshan Jin
- College of Forestry, Henan Agricultural University, No. 63, Nongye Road, Jinshui District, Zhengzhou, 450002, China
| | - Ershan Zhang
- College of Forestry, Henan Agricultural University, No. 63, Nongye Road, Jinshui District, Zhengzhou, 450002, China
| | - Haotian Guo
- College of Forestry, Henan Agricultural University, No. 63, Nongye Road, Jinshui District, Zhengzhou, 450002, China
| | - Chuanwei Hu
- Plam Eco-Town Development CO., LTD, Zhengzhou, 450002, China
| | - Yaru Zhang
- College of Forestry, Northwest A&F University, Yangling, 712100, China
| | - Dongfeng Yan
- College of Forestry, Henan Agricultural University, No. 63, Nongye Road, Jinshui District, Zhengzhou, 450002, China.
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Argles APK, Robertson E, Harper AB, Morison JIL, Xenakis G, Hastings A, Mccalmont J, Moore JR, Bateman IJ, Gannon K, Betts RA, Bathgate S, Thomas J, Heard M, Cox PM. Modelling the impact of forest management and CO 2-fertilisation on growth and demography in a Sitka spruce plantation. Sci Rep 2023; 13:13487. [PMID: 37596319 PMCID: PMC10439122 DOI: 10.1038/s41598-023-39810-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 07/31/2023] [Indexed: 08/20/2023] Open
Abstract
Afforestation and reforestation to meet 'Net Zero' emissions targets are considered a necessary policy by many countries. Their potential benefits are usually assessed through forest carbon and growth models. The implementation of vegetation demography gives scope to represent forest management and other size-dependent processes within land surface models (LSMs). In this paper, we evaluate the impact of including management within an LSM that represents demography, using both in-situ and reanalysis climate drivers at a mature, upland Sitka spruce plantation in Northumberland, UK. We compare historical simulations with fixed and variable CO2 concentrations, and with and without tree thinning implemented. Simulations are evaluated against the observed vegetation structure and carbon fluxes. Including thinning and the impact of increasing CO2 concentration ('CO2 fertilisation') gave more realistic estimates of stand-structure and physical characteristics. Historical CO2 fertilisation had a noticeable effect on the Gross Primary Productivity seasonal-diurnal cycle and contributed to approximately 7% higher stand biomass by 2018. The net effect of both processes resulted in a decrease of tree density and biomass, but an increase in tree height and leaf area index.
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Affiliation(s)
- Arthur P K Argles
- Met Office Hadley Centre, FitzRoy Road, Exeter, EX1 3PB, Devon, UK.
- Department of Mathematics and Statistics, Faculty of Environment, Science and Economy, University of Exeter, Exeter, EX4 4QE, UK.
| | - Eddy Robertson
- Met Office Hadley Centre, FitzRoy Road, Exeter, EX1 3PB, Devon, UK
| | - Anna B Harper
- Department of Mathematics and Statistics, Faculty of Environment, Science and Economy, University of Exeter, Exeter, EX4 4QE, UK
| | | | | | - Astley Hastings
- School of Biological Sciences, University of Aberdeen, King's College, Aberdeen, AB24 3FX, UK
| | - Jon Mccalmont
- School of Biological Sciences, University of Aberdeen, King's College, Aberdeen, AB24 3FX, UK
- Department of Biosciences, Faculty of Health and Life Sciences, University of Exeter, Streatham Campus, Rennes Drive, Exeter, EX4 4RJ, UK
| | - Jon R Moore
- Department of Mathematics and Statistics, Faculty of Environment, Science and Economy, University of Exeter, Exeter, EX4 4QE, UK
| | - Ian J Bateman
- Land, Environment, Economics and Policy Institute (LEEP), Department of Economics, University of Exeter Business School, Exeter, UK
| | - Kate Gannon
- Land, Environment, Economics and Policy Institute (LEEP), Department of Economics, University of Exeter Business School, Exeter, UK
| | - Richard A Betts
- Met Office Hadley Centre, FitzRoy Road, Exeter, EX1 3PB, Devon, UK
- University of Exeter Global Systems Institute, Exeter, EX4 4QE, UK
| | | | - Justin Thomas
- School of Biological Sciences, University of Aberdeen, King's College, Aberdeen, AB24 3FX, UK
| | - Matthew Heard
- The National Trust, Heelis, Kemble Drive, Swindon, SN2 2NA, UK
| | - Peter M Cox
- Department of Mathematics and Statistics, Faculty of Environment, Science and Economy, University of Exeter, Exeter, EX4 4QE, UK
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Zuleta D, Arellano G, McMahon SM, Aguilar S, Bunyavejchewin S, Castaño N, Chang-Yang CH, Duque A, Mitre D, Nasardin M, Pérez R, Sun IF, Yao TL, Valencia R, Krishna Moorthy SM, Verbeeck H, Davies SJ. Damage to living trees contributes to almost half of the biomass losses in tropical forests. Glob Chang Biol 2023; 29:3409-3420. [PMID: 36938951 DOI: 10.1111/gcb.16687] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 02/11/2023] [Indexed: 05/16/2023]
Abstract
Accurate estimates of forest biomass stocks and fluxes are needed to quantify global carbon budgets and assess the response of forests to climate change. However, most forest inventories consider tree mortality as the only aboveground biomass (AGB) loss without accounting for losses via damage to living trees: branchfall, trunk breakage, and wood decay. Here, we use ~151,000 annual records of tree survival and structural completeness to compare AGB loss via damage to living trees to total AGB loss (mortality + damage) in seven tropical forests widely distributed across environmental conditions. We find that 42% (3.62 Mg ha-1 year-1 ; 95% confidence interval [CI] 2.36-5.25) of total AGB loss (8.72 Mg ha-1 year-1 ; CI 5.57-12.86) is due to damage to living trees. Total AGB loss was highly variable among forests, but these differences were mainly caused by site variability in damage-related AGB losses rather than by mortality-related AGB losses. We show that conventional forest inventories overestimate stand-level AGB stocks by 4% (1%-17% range across forests) because assume structurally complete trees, underestimate total AGB loss by 29% (6%-57% range across forests) due to overlooked damage-related AGB losses, and overestimate AGB loss via mortality by 22% (7%-80% range across forests) because of the assumption that trees are undamaged before dying. Our results indicate that forest carbon fluxes are higher than previously thought. Damage on living trees is an underappreciated component of the forest carbon cycle that is likely to become even more important as the frequency and severity of forest disturbances increase.
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Affiliation(s)
- Daniel Zuleta
- Forest Global Earth Observatory, Smithsonian Tropical Research Institute, Washington, District of Columbia, USA
| | - Gabriel Arellano
- Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, USA
- Oikobit LLC, Albuquerque, New Mexico, USA
| | - Sean M McMahon
- Forest Global Earth Observatory, Smithsonian Tropical Research Institute, Washington, District of Columbia, USA
- Smithsonian Environmental Research Center, Edgewater, Maryland, 21037, USA
| | - Salomón Aguilar
- Smithsonian Tropical Research Institute, Apartado 0843-03092, Balboa, República de Panamá
| | - Sarayudh Bunyavejchewin
- Department of National Parks, Forest Research Office, Wildlife and Plant Conservation, Bangkok, 10900, Thailand
| | - Nicolas Castaño
- Herbario Amazónico Colombiano, Instituto Amazónico de Investigaciones Científicas Sinchi, Bogotá, Colombia
| | - Chia-Hao Chang-Yang
- Department of Biological Sciences, National Sun Yat-sen University, Kaohsiung, 80424, Taiwan
| | - Alvaro Duque
- Departamento de Ciencias Forestales, Universidad Nacional de Colombia Sede Medellín, Medellín, Colombia
| | - David Mitre
- Smithsonian Tropical Research Institute, Apartado 0843-03092, Balboa, República de Panamá
| | - Musalmah Nasardin
- Forestry and Environment Division, Forest Research Institute Malaysia, 52109, Kepong, Selangor, Malaysia
| | - Rolando Pérez
- Smithsonian Tropical Research Institute, Apartado 0843-03092, Balboa, República de Panamá
| | - I-Fang Sun
- Center for Interdisciplinary Research on Ecology and Sustainability, National Dong Hwa University, Hualien, 94701, Taiwan
| | - Tze Leong Yao
- Forestry and Environment Division, Forest Research Institute Malaysia, 52109, Kepong, Selangor, Malaysia
| | - Renato Valencia
- Escuela de Ciencias Biológicas, Pontificia Universidad Católica del Ecuador, Quito, Ecuador
| | - Sruthi M Krishna Moorthy
- Department of Geographical Sciences, University of Maryland, College Park, Maryland, USA
- Department of Environment, Ghent University, Ghent, Belgium
| | - Hans Verbeeck
- Department of Environment, Ghent University, Ghent, Belgium
| | - Stuart J Davies
- Forest Global Earth Observatory, Smithsonian Tropical Research Institute, Washington, District of Columbia, USA
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