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Skulovich O, Li X, Wigneron JP, Gentine P. Global L-band equivalent AI-based vegetation optical depth dataset. Sci Data 2024; 11:936. [PMID: 39198462 PMCID: PMC11358485 DOI: 10.1038/s41597-024-03810-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 08/20/2024] [Indexed: 09/01/2024] Open
Abstract
The L-band vegetation optical depth data garners significant interest for its ability to effectively monitor vegetation, thanks to minimal saturation within this frequency range. However, the existing datasets have limited temporal coverage, constrained by the start of the respective satellite missions. Global L-band equivalent AI-Based Vegetation Optical Depth or GLAB-VOD is a global long-term consistent microwave vegetation optical depth dataset created using machine learning to expand the SMAP-IB VOD dataset temporal coverage from 2015-2020 to 2002-2020. The GLAB-VOD dataset has an 18-day temporal resolution and 25 km spatial resolution on the EASE2 grid and covers 2002-2020. An auxiliary consistent daily brightness temperature product, called GLAB-TB, is developed in parallel and ensures the consistency of the VOD product across time periods with different microwave satellites. As a result of its temporal consistency, this dataset can be used to study long-term global and regional trends in vegetation biomass and utilized in any other applications where long-term consistency is necessary. The GLAB-VOD dataset shows excellent spatial correlation globally when compared with biomass (up to R = 0.92) and canopy height (R = 0.93), outperforming its target dataset, SMAP-IB VOD.
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Affiliation(s)
| | - Xiaojun Li
- NRAE, UMR1391 ISPA, University of Bordeaux, F-33140, Villenave d'Ornon, France
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Milosavljevic S, Kauai F, Mortier F, Van de Peer Y, Bonte D. A metabolic perspective on polyploid invasion and the emergence of life histories: Insights from a mechanistic model. AMERICAN JOURNAL OF BOTANY 2024; 111:e16387. [PMID: 39113228 PMCID: PMC7616395 DOI: 10.1002/ajb2.16387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 07/08/2024] [Accepted: 07/09/2024] [Indexed: 08/24/2024]
Abstract
PREMISE Whole-genome duplication (WGD, polyploidization) has been identified as a driver of genetic and phenotypic novelty, having pervasive consequences for the evolution of lineages. While polyploids are widespread, especially among plants, the long-term establishment of polyploids is exceedingly rare. Genome doubling commonly results in increased cell sizes and metabolic expenses, which may be sufficient to modulate polyploid establishment in environments where their diploid ancestors thrive. METHODS We developed a mechanistic simulation model of photosynthetic individuals to test whether changes in size and metabolic efficiency allow autopolyploids to coexist with, or even invade, ancestral diploid populations. Central to the model is metabolic efficiency, which determines how energy obtained from size-dependent photosynthetic production is allocated to basal metabolism as opposed to somatic and reproductive growth. We expected neopolyploids to establish successfully if they have equal or higher metabolic efficiency as diploids or to adapt their life history to offset metabolic inefficiency. RESULTS Polyploid invasion was observed across a wide range of metabolic efficiency differences between polyploids and diploids. Polyploids became established in diploid populations even when they had a lower metabolic efficiency, which was facilitated by recurrent formation. Competition for nutrients is a major driver of population dynamics in this model. Perenniality did not qualitatively affect the relative metabolic efficiency from which tetraploids tended to establish. CONCLUSIONS Feedback between size-dependent metabolism and energy allocation generated size and age differences between plants with different ploidies. We demonstrated that even small changes in metabolic efficiency are sufficient for the establishment of polyploids.
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Affiliation(s)
- Silvija Milosavljevic
- Department of Plant Biotechnology and Bioinformatics, Ghent University, VIB - UGent Center for Plant Systems Biology, B-9052Ghent, Belgium
- Department of Biology, Terrestrial Ecology Unit, Ghent University, Karel Lodewijk Ledeganckstraat 35, BE-9000Ghent, Belgium
| | - Felipe Kauai
- Department of Plant Biotechnology and Bioinformatics, Ghent University, VIB - UGent Center for Plant Systems Biology, B-9052Ghent, Belgium
- Department of Biology, Terrestrial Ecology Unit, Ghent University, Karel Lodewijk Ledeganckstraat 35, BE-9000Ghent, Belgium
| | - Frederik Mortier
- Department of Plant Biotechnology and Bioinformatics, Ghent University, VIB - UGent Center for Plant Systems Biology, B-9052Ghent, Belgium
- Department of Biology, Terrestrial Ecology Unit, Ghent University, Karel Lodewijk Ledeganckstraat 35, BE-9000Ghent, Belgium
| | - Yves Van de Peer
- Department of Plant Biotechnology and Bioinformatics, Ghent University, VIB - UGent Center for Plant Systems Biology, B-9052Ghent, Belgium
- Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, South Africa
- College of Horticulture, Nanjing Agricultural University, Nanjing, China
| | - Dries Bonte
- Department of Plant Biotechnology and Bioinformatics, Ghent University, VIB - UGent Center for Plant Systems Biology, B-9052Ghent, Belgium
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Li Y, Xin Z, Yao B, Duan R, Dong X, Bao Y, Li X, Ma Y, Huang Y, Luo F, Li X, Wei X, Jiang ZR, Lozada-Gobilard S, Zhu J. Density affects plant size in the Gobi Desert. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169401. [PMID: 38114032 DOI: 10.1016/j.scitotenv.2023.169401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 12/12/2023] [Accepted: 12/13/2023] [Indexed: 12/21/2023]
Abstract
Plant size is a crucial functional trait with substantial implications in agronomy and forestry. Understanding the factors influencing plant size is essential for ecosystem management and restoration efforts. Various environmental factors and plant density play significant roles in plant size. However, how plant size responds to mean annual precipitation (MAP), mean annual temperature (MAT), and density in the arid areas remains incomplete. To address this knowledge gap, we conducted comprehensive vegetation surveys in the Gobi Desert in northwestern China with a MAP below 250 mm. We also collected climate data to disentangle the respective influences of climate and density on the community-weighted plant height, crown length, and crown width. Our observations revealed that the community-weighted mean plant height, crown length, and width demonstrated a positive association with MAT but negative relationships with both MAP and density. These patterns can be attributed to the predominance of shrubs over herbs in arid regions, as shrubs tend to be larger in size. The proportion of shrubs increases with MAT, while it decreases with MAP and density, resulting in higher plant height and larger crown dimensions. Although both MAP and MAT affect plant size in the Gobi Desert, our findings highlight the stronger role of plant density in regulating plant size, indicating that the surrounding plant community and competition among individuals are crucial drivers of plant size patterns. Our findings provide valuable guidance for nature-based solutions for vegetation restoration and ecosystem management, highlighting the importance of considering plant density as a key factor when designing and implementing restoration strategies in arid areas.
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Affiliation(s)
- Yonghua Li
- Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China; Gansu Dunhuang Desert Ecosystem National Observation and Research Station, Dunhuang 736200, China; Kumtag Desert Ecosystem National Observation and Research Station, Dunhuang 736200, China
| | - Zhiming Xin
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou County, Inner Mongolia 015200, China; Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou 015200, China
| | - Bin Yao
- Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China; Gansu Dunhuang Desert Ecosystem National Observation and Research Station, Dunhuang 736200, China; Kumtag Desert Ecosystem National Observation and Research Station, Dunhuang 736200, China
| | - Ruibing Duan
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou County, Inner Mongolia 015200, China; Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou 015200, China
| | - Xue Dong
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou County, Inner Mongolia 015200, China; Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou 015200, China
| | - Yanfeng Bao
- Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China; Gansu Dunhuang Desert Ecosystem National Observation and Research Station, Dunhuang 736200, China; Kumtag Desert Ecosystem National Observation and Research Station, Dunhuang 736200, China
| | - Xinle Li
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou County, Inner Mongolia 015200, China; Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou 015200, China
| | - Yuan Ma
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou County, Inner Mongolia 015200, China; Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou 015200, China
| | - Yaru Huang
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou County, Inner Mongolia 015200, China; Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou 015200, China
| | - Fengmin Luo
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou County, Inner Mongolia 015200, China; Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou 015200, China
| | - Xing Li
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou County, Inner Mongolia 015200, China; Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou 015200, China
| | - Xu Wei
- School of Life Sciences, East China Normal University, Shanghai 200241, China
| | - Zi-Ru Jiang
- Laboratory of Forest Protection, Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya 4648601, Japan
| | | | - Jinlei Zhu
- Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China; Gansu Dunhuang Desert Ecosystem National Observation and Research Station, Dunhuang 736200, China; Kumtag Desert Ecosystem National Observation and Research Station, Dunhuang 736200, China.
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Kim YN, Choi JH, Kim SY, Yoon YE, Choe H, Lee KA, Kantharaj V, Kim MJ, Lee YB. Biostimulatory Effects of Chlorella fusca CHK0059 on Plant Growth and Fruit Quality of Strawberry. PLANTS (BASEL, SWITZERLAND) 2023; 12:4132. [PMID: 38140459 PMCID: PMC10747820 DOI: 10.3390/plants12244132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 12/09/2023] [Accepted: 12/10/2023] [Indexed: 12/24/2023]
Abstract
Green algae have been receiving widespread attention for their use as biofertilizers for agricultural production, but more studies are required to increase the efficiency of their use. This study aimed to investigate the effects of different levels of Chlorella fusca CHK0059 application on strawberry plant growth and fruit quality. A total of 800 strawberry seedlings were planted in a greenhouse and were grown for seven months under different Chlorella application rates: 0 (control), 0.1, 0.2, and 0.4% of the optimal cell density (OCD; 1.0 × 107 cells mL-1). The Chlorella application was conducted weekly via an irrigation system, and the characteristics of fruit samples were monitored monthly over a period of five months. The growth (e.g., phenotype, dry weight, and nutrition) and physiological (e.g., Fv/Fm and chlorophylls) parameters of strawberry plants appeared to be enhanced by Chlorella application over time, an enhancement which became greater as the application rate increased. Likewise, the hardness and P content of strawberry fruits had a similar trend. Meanwhile, 0.2% OCD treatment induced the highest values of soluble solid content (9.3-12 °Brix) and sucrose content (2.06-2.97 g 100 g-1) in the fruits as well as fruit flavor quality indices (e.g., sugars:acids ratio and sweetness index) during the monitoring, whilst control treatment represented the lowest values. In addition, the highest anthocyanin content in fruits was observed in 0.4% OCD treatment, which induced the lowest incidence of grey mold disease (Botrytis cinerea) on postharvest fruits for 45 days. Moreover, a high correlation between plants' nutrients and photosynthetic variables and fruits' sucrose and anthocyanin contents was identified through the results of principal component analysis. Overall, C. fusca CHK0059 application was found to promote the overall growth and performance of strawberry plants, contributing to the improvement of strawberry quality and yield, especially in 0.2% OCD treatment.
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Affiliation(s)
- Young-Nam Kim
- Division of Applied Life Science (BK21), Gyeongsang National University, Jinju 52828, Republic of Korea
- Institute of Agriculture and Life Science (IALS), Gyeongsang National University, Jinju 52828, Republic of Korea
| | - Jun Hyeok Choi
- Division of Applied Life Science (BK21), Gyeongsang National University, Jinju 52828, Republic of Korea
| | - Song Yeob Kim
- Division of Applied Life Science (BK21), Gyeongsang National University, Jinju 52828, Republic of Korea
| | - Young-Eun Yoon
- Institute of Agriculture and Life Science (IALS), Gyeongsang National University, Jinju 52828, Republic of Korea
| | - Hyeonji Choe
- Division of Applied Life Science (BK21), Gyeongsang National University, Jinju 52828, Republic of Korea
| | - Keum-Ah Lee
- Institute of Agriculture and Life Science (IALS), Gyeongsang National University, Jinju 52828, Republic of Korea
| | - Vimalraj Kantharaj
- Institute of Agriculture and Life Science (IALS), Gyeongsang National University, Jinju 52828, Republic of Korea
| | - Min-Jeong Kim
- Organic Agriculture Division, National Academy of Agriculture Science, Rural Development Administration, Wanju 55365, Republic of Korea
| | - Yong Bok Lee
- Division of Applied Life Science (BK21), Gyeongsang National University, Jinju 52828, Republic of Korea
- Institute of Agriculture and Life Science (IALS), Gyeongsang National University, Jinju 52828, Republic of Korea
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