Monthly climate prediction using deep convolutional neural network and long short-term memory

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Июль 31, 2024

Climate change affects plant growth, food production, ecosystems, sustainable socio-economic development, and human health. The different artificial intelligence models are proposed to simulate climate parameters of Jinan city in China, include neural network (ANN), recurrent NN (RNN), long short-term memory (LSTM), deep convolutional (CNN), CNN-LSTM. These used forecast six climatic factors on a monthly ahead. data for 72 years (1 January 1951–31 December 2022) this study average atmospheric temperature, extreme minimum maximum precipitation, relative humidity, sunlight hours. time series 12 month delayed as input signals the models. efficiency examined utilizing diverse evaluation criteria namely mean absolute error, root square error (RMSE), correlation coefficient (R). modeling result inherits that hybrid CNN-LSTM model achieves greater accuracy than other compared significantly reduces forecasting one step For instance, RMSE values ANN, RNN, LSTM, CNN, temperature stage 2.0669, 1.4416, 1.3482, 0.8015 0.6292 °C, respectively. findings simulations shows potential improve forecasting. prediction will contribute meteorological disaster prevention reduction, well flood control drought resistance.

Язык: Английский

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Age and moisture affect the relationship between competition and tree growth

Global Ecology and Conservation, Год журнала: 2025, Номер 58, С. e03464 - e03464

Опубликована: Янв. 31, 2025

Язык: Английский

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Optimizing variables selection of random forest to predict radial growth of Larix gmelinii var. principis-rupprechtii in temperate regions

Forest Ecology and Management, Год журнала: 2024, Номер 569, С. 122159 - 122159

Опубликована: Июль 29, 2024

Язык: Английский

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Variations on the maximum density-size lines to climate and site factors for Larix spp. plantations in northeast China

Ecological Modelling, Год журнала: 2024, Номер 498, С. 110913 - 110913

Опубликована: Окт. 16, 2024

Язык: Английский

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Unraveling the individual and interactive effects of climate and competition on branch growth dynamics in Pinus koraiensis in Northeast China

Frontiers in Plant Science, Год журнала: 2025, Номер 16

Опубликована: Фев. 5, 2025

Introduction The quantitative modeling of dynamic branch growth in Korean pine ( Pinus koraiensis ) and the analysis factors influencing are essential prerequisites for making scientifically sound management decisions plantations. To date, effects competition, climate their interactions on have been insufficiently investigated. Additionally, limited knowledge exists regarding whether these impacts vary depending social status trees. In face current challenges posed by change, accurate information to inform forest policy-making is urgently needed. Methods We collected 745 branches from 54 sampled trees and, we employed a mixed-effects model assess tree variables, climate, growth. Furthermore, simulated under different combinations competition climatic conditions provide practical targeted recommendations plantation management. Results Our results demonstrate that (1) addition age, size, height growth, significantly improved model, with surpassing individual which highlights importance considering interactive effects; (2) varied trees, dominant intermediate individuals showing greater sensitivity than suppressed individuals, suggesting that, future research this direction, prioritizing sampling would be cost-effective approach; (3) owing presence interactions, influence was modulated adjusting levels response stress could lead desirable outcomes. Discussion study underscores understanding sources variation crucial advancing our crown dynamics, as well formulating sustainable policies amidst uncertainties change.

Язык: Английский

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Performance of mangrove seedling (Rhizophora sp.) planted on super-intensive shrimp pond solid waste as media

Aquaculture International, Год журнала: 2025, Номер 33(3)

Опубликована: Фев. 12, 2025

Язык: Английский

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Response of Populus euphratica radial growth to drought in desert Oases, Taklamakan Desert, China

CATENA, Год журнала: 2025, Номер 252, С. 108873 - 108873

Опубликована: Март 1, 2025

Язык: Английский

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Response of Pinus sylvestris var. mongholica tree-ring density to climatic factors in Northeast China under climate warming background

Frontiers in Forests and Global Change, Год журнала: 2025, Номер 8

Опубликована: Март 27, 2025

Under the background of increasing global climate change, understanding impact variables on forest ecosystems has become an important topic in ecology and climatology. To explore connection between tree-ring density climatic variables, Pinus sylvestris var. mongholica (Ps) trees growing at northwestern foot Greater Khingan Mountains (GKM) were selected as research subjects. Correlations their index factors analyzed using basic theory methods dendrochronology. The impacts either variable (temperature precipitation) growth Ps also under warming conditions. Results showed that tree ring width (TRW) was positively correlated with earlywood (EW), latewood (LW), minimum (MND), (EWD), maximum (MXD), (LWD) (all p < 0.01). These results imply inter-annual changes three groups indicators exhibit a high degree synchronization. analysis to different rings considerably affected by temperature precipitation. Both TRD EWD positive correlation May, while LWD MXD precipitation March. However, well MND negative previous autumn likewise spring summer. obtained from follow-up redundancy further validated those above response function analysis. sliding indicated dynamic stability became stronger or weaker over time. This study reveals differences indices temporal stability, which is helpful understand relationship conifer species northern GKM.

Язык: Английский

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Comparison of Growth Strategies and Biomass Allocation in Chinese Fir Provenances from the Subtropical Region of China

Forests, Год журнала: 2025, Номер 16(4), С. 687 - 687

Опубликована: Апрель 16, 2025

This study aims to evaluate the growth characteristics of six Chinese fir (Cunninghamia lanceolata (Lamb.) Hook.) provenances (S1–S6) from different climatic regions in subtropical China order select superior with strong adaptability, fast growth, and reasonable biomass allocation. These results will provide references for genetic improvement resource utilization plantations. A total 385 trees, aged 26 48 years, were selected gene bank Anhui. Wood core sampling was used obtain tree ring width early/latewood data. Growth rate, fast-growth period, allocation each provenance analyzed using methods such as logistic equation, BAI (basal area increment), latewood percentage, estimation. The period starts 2nd 4th year, significant occurring around 14th year stabilizing between 30 50 years. Provenance S2 showed clear advantages rate biomass, while S6 relatively weak. analysis revealed that reached their peak 10 years age, a gradual decline afterward, but maintained higher levels longer period. Root-shoot ratio had most balanced ratio, promoting stable efficient water nutrient absorption, root-shoot indicating limitations. Furthermore, demonstrated continuous increase after excellent potential. provides quantitative adaptability provenances, offering scientific support construction breeding plantations, contributing enhancing productivity ecological plantations sustainable utilization.

Язык: Английский

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Coping with warming and drying climate: Xylem adjustment in four temperate diffuse-porous tree species in northeastern China

Agricultural and Forest Meteorology, Год журнала: 2025, Номер 372, С. 110657 - 110657

Опубликована: Июнь 4, 2025

Язык: Английский

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