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Tree Lifespans in a Warming World: Unravelling the Universal Trade-Off Between Growth and Lifespan in Temperate Forests.
Glob Chang Biol
January 2025
State Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing, China.
Tree growth and lifespan are key determinants of forest dynamics, and ultimately control carbon stocks. Warming and increasing CO have been observed to increase growth but such increases may not result in large net biomass gains due to trade-offs between growth and lifespan. A deeper understanding of the nature of the trade-off and its potential spatial variation is crucial to improve predictions of the future carbon sink.
View Article and Find Full Text PDFFactor Retention in Exploratory Multidimensional Item Response Theory.
Educ Psychol Meas
January 2025
Faculty of Psychology and Educational Sciences, KU Leuven, Campus KULAK, Kortrijk, Belgium.
Multidimensional Item Response Theory (MIRT) is applied routinely in developing educational and psychological assessment tools, for instance, for exploring multidimensional structures of items using exploratory MIRT. A critical decision in exploratory MIRT analyses is the number of factors to retain. Unfortunately, the comparative properties of statistical methods and innovative Machine Learning (ML) methods for factor retention in exploratory MIRT analyses are still not clear.
View Article and Find Full Text PDFTree community, vegetation structure and aboveground carbon storage in Atlantic tropical forests of Cameroon.
Heliyon
December 2024
Department of Plant Biology, Faculty of Science, University of Yaounde I, P.O. Box: 812, Yaounde, Cameroon.
Understanding Atlantic tropical forests' ecological dynamics and carbon storage potential in Cameroon is crucial for guiding sustainable management and conservation strategies. These forests play a significant role in carbon sequestration and biodiversity conservation. This study aimed to fill existing knowledge gaps by characterising plant communities, assessing the vegetation structure, and quantifying the potential of carbon stocks.
View Article and Find Full Text PDFLost circulation intensity characterization in drilling operations: Leveraging machine learning and well log data.
Heliyon
January 2025
Department of Petroleum Engineering, Amirkabir University of Technology, Tehran, Iran.
Lost circulation is one of the important challenges in drilling operations and bears financial losses and operational risks. The prime causes of lost circulation are related to several geological parameters, especially in problem-prone formations. Herein, the approach of applying machine learning models to forecast the intensity of lost circulation using well-log data is presented in this work.
View Article and Find Full Text PDFCharacterizing localized nitrogen sensitivity of tree species and the associated influences of mediating factors.
Ecosphere
July 2024
Sonoma Technology, Inc., Petaluma, California, USA.
Critical loads (CLs) are frequently used to quantify terrestrial ecosystem impacts from nitrogen (N) deposition using ecological responses such as the growth and mortality of tree species. Typically, CLs are reported as a single value, with uncertainty, for an indicator across a species' entire range. Mediating factors such as climate and soil conditions can influence species' sensitivity to N, but the magnitudes of these effects are rarely calculated explicitly.
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