Zobrazeno 1 - 10
of 337
pro vyhledávání: '"H. Shugart"'
Autor:
Jeff W. Atkins, Parth Bhatt, Luis Carrasco, Emily Francis, James E. Garabedian, Christopher R. Hakkenberg, Brady S. Hardiman, Jinha Jung, Anil Koirala, Elizabeth A. LaRue, Sungchan Oh, Gang Shao, Guofan Shao, H. H. Shugart, Anna Spiers, Atticus E. L. Stovall, Thilina D. Surasinghe, Xiaonan Tai, Lu Zhai, Tao Zhang, Keith Krause
Publikováno v:
Ecosphere, Vol 14, Iss 9, Pp n/a-n/a (2023)
Abstract The measurement of forest structure has evolved steadily due to advances in technology, methodology, and theory. Such advances have greatly increased our capacity to describe key forest structural elements and resulted in a range of measurem
Externí odkaz:
https://doaj.org/article/5ba98cb74d4e47ee8e00e7b1eeb5090f
Publikováno v:
Frontiers in Ecology and Evolution, Vol 11 (2023)
There are many ways to study ecosystem dynamics, all having several issues. Main limitations of differential equation systems are the necessarily small number of interactions between few variables used, and parameter values to be set before the syste
Externí odkaz:
https://doaj.org/article/e19f3048574249988c1b83c73f28d1b7
Publikováno v:
Geoscientific Model Development, Vol 15, Pp 6863-6872 (2022)
Process-based ecological models are essential tools to quantify and predict forest growth and carbon cycles under the background of climate change. The accurate description of phenology and tree growth processes enables an improved understanding and
Externí odkaz:
https://doaj.org/article/15e890dcffc34660b683ce14c85b4d93
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-4 (2020)
Externí odkaz:
https://doaj.org/article/2805114797514b08b73c2e36dbfa3f43
Autor:
H. H. Shugart, Adrianna Foster, Bin Wang, Dan Druckenbrod, Jianyong Ma, Manuel Lerdau, Sassan Saatchi, Xi Yang, Xiaodong Yan
Publikováno v:
Forest Ecosystems, Vol 7, Iss 1, Pp 1-18 (2020)
Abstract Background Gap models are individual-based models for forests. They simulate dynamic multispecies assemblages over multiple tree-generations and predict forest responses to altered environmental conditions. Their development emphases designa
Externí odkaz:
https://doaj.org/article/c6f67bdbeaa64f0186cf1ee742b8b747
Publikováno v:
Data in Brief, Vol 19, Iss , Pp 1560-1569 (2018)
This article contains data related to the research article entitled “Assessing terrestrial laser scanning for developing non-destructive biomass allometry” (Stovall et al., 2018 [1]) and presents 258 terrestrial LiDAR-derived estimates of tree vo
Externí odkaz:
https://doaj.org/article/3fec4952a0c54538be8329840fd9ba07
Publikováno v:
Geoscientific Model Development. 15:6863-6872
Process-based ecological models are essential tools to quantify and predict forest growth and carbon cycles under the background of climate change. The accurate description of phenology and tree growth processes enables an improved understanding and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc66cd374d28e71323c6088de8c4b6a9
https://doi.org/10.5194/gmd-15-6863-2022
https://doi.org/10.5194/gmd-15-6863-2022
Publikováno v:
The American Naturalist.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60b01e903c17d27890d30276b3e61beb
https://doi.org/10.1086/725804
https://doi.org/10.1086/725804
Publikováno v:
Global Ecology and Biogeography. 31:1603-1615
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bec4e70d5ee172f05395a8da49907346
https://doi.org/10.1111/geb.13533
https://doi.org/10.1111/geb.13533
Publikováno v:
Biogeochemistry. 158:21-37
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c41970eae60de5678a87729d022ab639
https://doi.org/10.1007/s10533-021-00883-8
https://doi.org/10.1007/s10533-021-00883-8