Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Tanvir Ahmed Shovon"'
Autor:
Richard Osei, Lance P. Moore, Rosanise A. Odell, Marcel Schneider, Tanvir Ahmed Shovon, Charles A. Nock
Publikováno v:
Forest Ecosystems, Vol 11, Iss , Pp 100225- (2024)
In an attempt to reconcile wood extraction and forest biodiversity in managed boreal forests, ecosystem-based forest management (EBM) has become the de facto management approach. Retention forestry represents one prominent way that EBM is implemented
Externí odkaz:
https://doaj.org/article/24e1a0a338d14383be2a640ae2cf17af
Publikováno v:
Ecosphere, Vol 12, Iss 2, Pp n/a-n/a (2021)
Abstract The southern range limit of white spruce (Picea glauca) in western Canada is believed to arise from effects of moisture limitation on seedling recruitment. Within stands near white spruce’s range limit, the adverse effects of water limitat
Externí odkaz:
https://doaj.org/article/1231f3dde09645ebaf6ba00956d1a6b5
Publikováno v:
Journal of Ecology. 110:1125-1137
Publikováno v:
Forest Ecology and Management. 511:120138
Autor:
Mark C. Vanderwel, Fidji Gendron, Danaë M. A. Rozendaal, Daniel Gagnon, Mary Vetter, Tanvir Ahmed Shovon
Publikováno v:
Journal of Ecology, 108(1), 133-144
Journal of Ecology 108 (2020) 1
Journal of Ecology 108 (2020) 1
1.Plant species composition and diversity are known to change across local gradients of light, moisture, and nutrients, but ecologists still have a relatively limited understanding of how communities respond to multiple limiting resources. 2.We used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83cb6a2248296c5d3d37e15f905a0c03
https://research.wur.nl/en/publications/plant-communities-on-nitrogen-rich-soil-are-less-sensitive-to-soi
https://research.wur.nl/en/publications/plant-communities-on-nitrogen-rich-soil-are-less-sensitive-to-soi
Autor:
Adam H. Sprott, Eva L. Lopez, Tanvir Ahmed Shovon, Mark C. Vanderwel, Pedram Khayyatkhoshnevis
Publikováno v:
Forest Ecology and Management. 461:117949
Unmanned aerial vehicles (UAVs) have opened new opportunities for measuring 3D canopy structure from aerial imagery. Image data collected with a UAV can be processed to generate detailed information on local canopy structure around an individual tree