Effects of elevated mean and extremely high temperatures on the physio-ecological characteristics of geographically distinctive populations of Cunninghamia lanceolata

Zhou, Ting; Jia, Xiaorong; Liao, Huixuan; Peng, Shijia

doi:10.1038/srep39187

Cited by 6 publications

(4 citation statements)

References 39 publications

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“…First, increased mean temperatures were shown to promote better growth performance of C. lanceolata populations, which then exhibited the greatest germination capacity. C. lanceolata within the southern population were better adapted to extremely high temperatures than specimens from the northern region population (Zhou et al, 2016). Second, topography influenced the dominant stand height of C. lanceolata, with elevation being the most significant factor, followed by soil type, aspect, and slope (Zhu et al, 2019).…”

Section: Growth and Factors Affecting C Lanceolata Forestsmentioning

confidence: 93%

A Review of Cunninghamia lanceolata (Lamb.) Hook: A Recent Update and Potential Application in Vietnam

2020

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By reviewing worldwide literature, this paper aimed to systematically collate available information about the species Cunninghamia lanceolata. Based on the findings of the review, including the species’ floral characteristics; updated distribution; historical knowledge and heritage; growth and factors influencing its forests; soil nutrition and microbes; carbon storage; wood; and chemicals and essential oils, we have identified issues for consideration regarding the use of this species for big timber production in Vietnam. We propose that it is suitable for a range of applications: for small or large timber plantations, mono/mixed plantations, and agroforestry. If planted at lower altitudes or warmer temperatures, its growth is likely to be improved, but seed production may be less successful. Cultivation of this species for big timber production should be undertaken according to silviculture best practices, ensuring good seed quality, a suitable stand density, and appropriate fertilization thinning strategies, in support of government policies and in accordance with current science and technology.

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Section: Growth and Factors Affecting C Lanceolata Forestsmentioning

confidence: 93%

A Review of Cunninghamia lanceolata (Lamb.) Hook: A Recent Update and Potential Application in Vietnam

2020

vjas

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“… Sentinella et al 2020 ), followed by relative growth rate (e.g. Zhou et al 2016 ), which has been measured over a range of timescales and life stages. For instance, in M. cardinalis , Wooliver et al (2020) measured relative growth rates of ~3-week-old seedlings over a 1-week period, whereas Cunningham and Read (2003a) measured growth of year-old tropical tree seedlings across 16 weeks.…”

Section: Past Use Of Tpcs To Address Key Questions In Plant Ecology A...mentioning

confidence: 99%

A viewpoint on ecological and evolutionary study of plant thermal performance curves in a warming world

et al. 2022

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We can understand the ecology and evolution of plant thermal niches through thermal performance curves (TPCs), which are unimodal, continuous reaction norms of performance across a temperature gradient. Though there are numerous plant TPC studies, plants remain underrepresented in syntheses of TPCs. Further, few studies quantify plant TPCs from fitness-based measurements (i.e., growth, survival, and reproduction at the individual level and above), limiting our ability to draw conclusions from the existing literature about plant thermal adaptation. We describe recent plant studies that use a fitness-based TPC approach to test fundamental ecological and evolutionary hypotheses, some of which have uncovered key drivers of climate change responses. Then, we outline three conceptual questions in ecology and evolutionary biology for future plant TPC studies: 1) Do populations and species harbor genetic variation for TPCs? 2) Do plant TPCs exhibit plastic responses to abiotic and biotic factors? 3) Do fitness-based TPCs scale up to population-level thermal niches? Moving forward, plant ecologists and evolutionary biologists can capitalize on TPCs to understand how plasticity and adaptation will influence plant responses to climate change.

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“…Many studies have indicated that drought and high temperature were important environmental stresses affecting tree growth, development and distribution, and even forest ecosystems and biogeographic processes [ 2 – 4 ]. Cunninghamia lanceolata (Chinese fir), an evergreen coniferous tree mainly distributed in southern China [ 5 ], is one of the most important timber trees with great commercial value due to its fast growth rate, high yield, high quality and pest resistance [ 6 , 7 ]. However, frequent occurrences of extreme drought and high temperature events are becoming great risks for growth and biomass production of Chinese fir [ 8 – 10 ].…”

Section: Introductionmentioning

confidence: 99%

A CNN-LSTM-att hybrid model for classification and evaluation of growth status under drought and heat stress in chinese fir (Cunninghamia lanceolata)

et al. 2023

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Background Cunninghamia lanceolata (Chinese fir), is one of the most important timber trees in China. With the global warming, to develop new resistant varieties to drought or heat stress has become an essential task for breeders of Chinese fir. However, classification and evaluation of growth status of Chinese fir under drought or heat stress are still labor-intensive and time-consuming. Results In this study, we proposed a CNN-LSTM-att hybrid model for classification of growth status of Chinese fir seedlings under drought and heat stress, respectively. Two RGB image datasets of Chinese fir seedling under drought and heat stress were generated for the first time, and utilized in this study. By comparing four base CNN models with LSTM, the Resnet50-LSTM was identified as the best model in classification of growth status, and LSTM would dramatically improve the classification performance. Moreover, attention mechanism further enhanced performance of Resnet50-LSTM, which was verified by Grad-CAM. By applying the established Resnet50-LSTM-att model, the accuracy rate and recall rate of classification was up to 96.91% and 96.79% for dataset of heat stress, and 96.05% and 95.88% for dataset of drought, respectively. Accordingly, the R2 value and RMSE value for evaluation on growth status under heat stress were 0.957 and 0.067, respectively. And, the R2 value and RMSE value for evaluation on growth status under drought were 0.944 and 0.076, respectively. Conclusion In summary, our proposed model provides an important tool for stress phenotyping in Chinese fir, which will be a great help for selection and breeding new resistant varieties in future.

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Effects of elevated mean and extremely high temperatures on the physio-ecological characteristics of geographically distinctive populations of Cunninghamia lanceolata

Cited by 6 publications

References 39 publications

A Review of Cunninghamia lanceolata (Lamb.) Hook: A Recent Update and Potential Application in Vietnam

A Review of Cunninghamia lanceolata (Lamb.) Hook: A Recent Update and Potential Application in Vietnam

A viewpoint on ecological and evolutionary study of plant thermal performance curves in a warming world

A CNN-LSTM-att hybrid model for classification and evaluation of growth status under drought and heat stress in chinese fir (Cunninghamia lanceolata)

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