Aboveground biomass partitioning and additive models for Combretum glutinosum and Terminalia laxiflora in West Africa

K Dimobe, S Mensah, D Goetze, A Ouédraogo… - Biomass and …, 2018 - Elsevier
Accurate estimates of aboveground biomass (AGB) strongly depend on the suitability and
precision of allometric models. Although additive allometric equations are expected to …

Employing artificial neural network for effective biomass prediction: An alternative approach

ŞT Güner, MJ Diamantopoulou, KP Poudel… - … and Electronics in …, 2022 - Elsevier
Wood products and energy production originating from harnessing the tree biomass require
optimizing the forest management process so as to ensure the sustainability of the forest …

Assessing the productivity and socioeconomic feasibility of cocoyam and teak agroforestry for food security

A Winara, E Fauziyah, Suhartono, A Widiyanto… - Sustainability, 2022 - mdpi.com
Limited agricultural land areas combined with increasing demands for food require
breakthroughs in land use development using agroforestry systems. Intercropping root crops …

Models for estimating aboveground biomass of four dryland woody species in Burkina Faso, West Africa

P Bayen, F Noulèkoun, F Bognounou, AM Lykke… - Journal of Arid …, 2020 - Elsevier
Reliable estimates of carbon stocks for drylands are constrained by a limited number of
biomass models for predicting accurately the biomass of dominant tree and shrub species …

Artificial neural network models: an alternative approach for reliable aboveground pine tree biomass prediction

R Özçelık, MJ Diamantopoulou, M Eker… - Forest …, 2017 - academic.oup.com
Biomass prediction is of critical importance for national development planning, ecosystem
productivity, carbon storage and sequestration, energy and nutrient cycling, and wildfire …

Confronting sustainable intensification with uncertainty and extreme values on smallholder tropical farms

T Knoke, E Gosling, E Reith, A Gerique, P Pohle… - Sustainability …, 2022 - Springer
Sustainable intensification of agricultural lands might reconcile the conservation of tropical
forest with food production, but in-depth assessments considering uncertainty and extreme …

Productivity of Black Locust (Robinia pseudoacacia L.) Grown on a Varying Habitats in Southeastern Poland

A Kraszkiewicz - Forests, 2021 - mdpi.com
This study investigated growth performances of black locust (Robinia pseudoacacia L.) tree
species in various soil and agro-climatic conditions in Poland. Implementing of research was …

Developing Additive Systems of Biomass Equations for Robinia pseudoacacia L. in the Region of Loess Plateau of Western Shanxi Province, China

Y Cui, H Bi, S Liu, G Hou, N Wang, X Ma, D Zhao… - Forests, 2020 - mdpi.com
The accurate estimation of forest biomass is important to evaluate the structure and function
of forest ecosystems, estimate carbon sinks in forests, and study matter cycle, energy flow …

Additive Allometric Equations to Improve Aboveground Biomass Estimation for Mongolian Pine Plantations in Mu Us Sandy Land, Inner Mongolia, China

B Siqing, S Meng, L Liu, G Zhou, J Yu, Z Xu, Q Liu - Forests, 2022 - mdpi.com
Afforestation is conducive to improving ecosystem service functions and ecosystem diversity
in the Mu Us Sandy Land, however, the important attribute of biomass for Mongolian pine …

Aboveground Biomass Allocation and Additive Allometric Models for Natural Larix gmelinii in the Western Daxing'anling Mountains, Northeastern China

S Meng, Q Jia, Q Liu, G Zhou, H Wang, J Yu - Forests, 2019 - mdpi.com
Accurate estimates of tree component and aboveground biomass strongly depend on robust
and precise allometric equations. However, site-specific and suitable biomass equations are …