Hegyi competition index decomposition to improve estimation accuracy of Larix olgensis crown radius

Autor: Zhao Sun, Yifu Wang, Lei Pan, Yujun Sun

Publikováno v: Ecological Indicators, Vol 143, Iss , Pp 109322- (2022)

The current individual tree competition indexes cannot provide information on the competitive pressure of trees in different directions. To quantitatively describe the magnitude of competitive pressure on trees in different directions, this study pro

Externí odkaz: https://doaj.org/article/4fa7aaf1a1544f21ad9a3cc7ee5c8ef1

Tree crown geometry and its performances on human thermal comfort adjustment

Autor: Jing Wang, Wei Guo, Chunlu Wang, Yanfeng Yao, Kou Kou, Deqing Xian, Yeting Zhang

Publikováno v: Journal of Urban Management, Vol 10, Iss 1, Pp 16-26 (2021)

Trees play an important part in landscaping as well as thermal environment adjustment. This study selected a satellite city of Sichuan Province in China, Xindu, for field measurement about tree’s crown characteristics on their cooling performances

Externí odkaz: https://doaj.org/article/a685c8f02315454f90e6dbd10d098688

Modelling Impact of Site and Terrain Morphological Characteristics on Biomass of Tree Species in Putorana Region

Autor: Ján Merganič, Viliam Pichler, Erika Gömöryová, Peter Fleischer, Marián Homolák, Katarína Merganičová

Publikováno v: Plants, Vol 10, Iss 12, p 2722 (2021)

(1) Background: Boreal forests influence global carbon balance and fulfil multiple ecosystem services. Their vegetation growth and biomass are significantly affected by environmental conditions. In the present study we focused on one of the least acc

Externí odkaz: https://doaj.org/article/e3226faee16b4f58ac2da4a55d7e935d

Tallo-a global tree allometry and crown architecture database

Autor: Tommaso Jucker, Fabian Jörg Fischer, Jérôme Chave, David A. Coomes, John Caspersen, Arshad Ali, Grace Jopaul Loubota Panzou, Ted R. Feldpausch, Daniel Falster, Vladimir A. Usoltsev, Stephen Adu‐Bredu, Luciana F. Alves, Mohammad Aminpour, Ilondea B. Angoboy, Niels P. R. Anten, Cécile Antin, Yousef Askari, Rodrigo Muñoz, Narayanan Ayyappan, Patricia Balvanera, Lindsay Banin, Nicolas Barbier, John J. Battles, Hans Beeckman, Yannick E. Bocko, Ben Bond‐Lamberty, Frans Bongers, Samuel Bowers, Thomas Brade, Michiel van Breugel, Arthur Chantrain, Rajeev Chaudhary, Jingyu Dai, Michele Dalponte, Kangbéni Dimobe, Jean‐Christophe Domec, Jean‐Louis Doucet, Remko A. Duursma, Moisés Enríquez, Karin Y. van Ewijk, William Farfán‐Rios, Adeline Fayolle, Eric Forni, David I. Forrester, Hammad Gilani, John L. Godlee, Sylvie Gourlet‐Fleury, Matthias Haeni, Jefferson S. Hall, Jie‐Kun He, Andreas Hemp, José L. Hernández‐Stefanoni, Steven I. Higgins, Robert J. Holdaway, Kiramat Hussain, Lindsay B. Hutley, Tomoaki Ichie, Yoshiko Iida, Hai‐sheng Jiang, Puspa Raj Joshi, Hasan Kaboli, Maryam Kazempour Larsary, Tanaka Kenzo, Brian D. Kloeppel, Takashi Kohyama, Suwash Kunwar, Shem Kuyah, Jakub Kvasnica, Siliang Lin, Emily R. Lines, Hongyan Liu, Craig Lorimer, Jean‐Joël Loumeto, Yadvinder Malhi, Peter L. Marshall, Eskil Mattsson, Radim Matula, Jorge A. Meave, Sylvanus Mensah, Xiangcheng Mi, Stéphane Momo, Glenn R. Moncrieff, Francisco Mora, Sarath P. Nissanka, Kevin L. O'Hara, Steven Pearce, Raphaël Pelissier, Pablo L. Peri, Pierre Ploton, Lourens Poorter, Mohsen Javanmiri Pour, Hassan Pourbabaei, Juan Manuel Dupuy‐Rada, Sabina C. Ribeiro, Casey Ryan, Anvar Sanaei, Jennifer Sanger, Michael Schlund, Giacomo Sellan, Alexander Shenkin, Bonaventure Sonké, Frank J. Sterck, Martin Svátek, Kentaro Takagi, Anna T. Trugman, Farman Ullah, Matthew A. Vadeboncoeur, Ahmad Valipour, Mark C. Vanderwel, Alejandra G. Vovides, Weiwei Wang, Li‐Qiu Wang, Christian Wirth, Murray Woods, Wenhua Xiang, Fabiano de Aquino Ximenes, Yaozhan Xu, Toshihiro Yamada, Miguel A. Zavala

Publikováno v: Global Change Biology, 28(17), 5254-5268
Global Change Biology 28: 5254-5268. (September 2022)
INTA Digital (INTA)
Instituto Nacional de Tecnología Agropecuaria
instacron:INTA
Jucker, T, Fischer, F J, Chave, J, Coomes, D A, Caspersen, J, Ali, A & et, A 2022, ' Tallo: a global tree allometry and crown architecture database ', Global Change Biology, vol. 28, no. 17, pp. 5254-5268 . https://doi.org/10.1111/gcb.16302
Jucker, T, Fischer, F J, Chave, J, Coomes, D A, Caspersen, J, Ali, A, Panzou, G J L, Feldpausch, T R, Falster, D, Usoltsev, V A, Adu-bredu, S, Alves, L F, Aminpour, M, Angoboy, I B, Anten, N P R, Antin, C, Askari, Y, Avilés, R M, Ayyappan, N, Balvanera, P, Banin, L, Barbier, N, Battles, J J, Beeckman, H, Bocko, Y E, Bond-lamberty, B, Bongers, F, Bowers, S, Brade, T, Van Breugel, M, Chantrain, A, Chaudhary, R, Dai, J, Dalponte, M, Dimobe, K, Domec, J, Doucet, J, Duursma, R A, Enríquez, M, Van Ewijk, K Y, Farfán-rios, W, Fayolle, A, Forni, E, Forrester, D I, Gilani, H, Godlee, J L, Gourlet-fleury, S, Haeni, M, Hall, J S, He, J, Hemp, A, Hernández-stefanoni, J L, Higgins, S I, Holdaway, R J, Hussain, K, Hutley, L B, Ichie, T, Iida, Y, Jiang, H, Joshi, P R, Kaboli, H, Larsary, M K, Kenzo, T, Kloeppel, B D, Kohyama, T, Kunwar, S, Kuyah, S, Kvasnica, J, Lin, S, Lines, E R, Liu, H, Lorimer, C, Loumeto, J, Malhi, Y, Marshall, P L, Mattsson, E, Matula, R, Meave, J A, Mensah, S, Mi, X, Momo, S, Moncrieff, G R, Mora, F, Nissanka, S P, O'hara, K L, Pearce, S, Pelissier, R, Peri, P L, Ploton, P, Poorter, L, Pour, M J, Pourbabaei, H, Rada, J M D, Ribeiro, S C, Ryan, C, Sanaei, A, Sanger, J, Schlund, M, Sellan, G, Shenkin, A, Sonké, B, Sterck, F J, Svátek, M, Takagi, K, Trugman, A T, Ullah, F, Vadeboncoeur, M A, Valipour, A, Vanderwel, M C, Vovides, A G, Wang, W, Wang, L, Wirth, C, Woods, M, Xiang, W, De Aquino Ximenes, F, Xu, Y, Yamada, T & Zavala, M A 2022, ' Tallo–a global tree allometry and crown architecture database ', Global Change Biology . https://doi.org/10.1111/gcb.16302
Global Change Biology 28 (2022) 17
Global change biology, 28(17), 5254-5268. Wiley-Blackwell
Global Change Biology

Funder: Agua Salud Project
Funder: U.S. Department of Energy; Id: http://dx.doi.org/10.13039/100000015
Funder: CAPES; Id: http://dx.doi.org/10.13039/501100002322
Data capturing multiple axes of tree size and shape, such as a tree's ste

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40d4bf8a561b3b9b5e18c6ba4ca6bb49
https://www.repository.cam.ac.uk/handle/1810/338391

Machine Learning: Crown Diameter Predictive Modeling for Open-Grown Trees in the Cerrado Biome, Brazil

Autor: Veraldo Liesenberg, César Augusto Guimarães Finger, Gabriel Bueno, Polyanna Da Conceição Bispo, Emanuel Arnoni Costa

Publikováno v: Forests; Volume 13; Issue 8; Pages: 1295

The Brazilian Cerrado biome is a hotspot due to its ecological importance and high diversity of fauna and flora. We aimed to develop statistical models to predict the crown diameter of open-growing trees using several forest attributes. Potential cro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a720a987a068fe3d938b1ce93b552aac