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Zhonglin Ji, Yaozhong Pan, Xiufang Zhu, Dujuan Zhang and Jiajia Dai
The reliable prediction of corn yield for the United States of America is essential for effective food and energy management of the world. Three satellite-derived variables were selected, namely enhanced vegetation index (EVI), leaf area index (LAI) and ...
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Lucio Di Cosmo,Diego Giuliani,Maria Michela Dickson,Patrizia Gasparini
Pág. e019
Aims of the study. Assessment of growth is essential to support sustainability of forest management and forest policies. The objective of the study was to develop a species-specific model to predict the annual increment of tree basal area through variabl...
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Ruyi Zhou, Dasheng Wu, Luming Fang, Aijun Xu and Xiongwei Lou
Traditional field surveys are expensive, time-consuming, laborious, and difficult to perform, especially in mountainous and dense forests, which imposes a burden on forest management personnel and researchers. This study focuses on predicting forest grow...
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Marta Aranguren, Ana Aizpurua, Ander Castellón, Gerardo Besga and Nerea Villar
A better understanding of the capacity of soils to supply nitrogen (N) to wheat can enhance fertilizer recommendations. The aim of this study was to assess the soil mineral N (Nmin) dynamics throughout the wheat growing season in crucial stages for the p...
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Minhui He, Bao Yang, Vladimir Shishov, Sergio Rossi, Achim Bräuning, Fredrik Charpentier Ljungqvist and Jussi Grießinger
The variability of tree stem phenology plays a critical role in determining the productivity of forest ecosystems. Therefore, we aim to identify the relationships between the timings of cambium phenology, and forest growth in terms of tree-ring width ove...
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