Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Nikolay Strigul"'
Publikováno v:
Forecasting, Vol 2, Iss 3, Pp 364-386 (2020)
Forecasting of forest dynamics at a large scale is essential for land use management, global climate change and biogeochemistry modeling. We develop time series models of the forest dynamics in the conterminous United States based on forest inventory
Externí odkaz:
https://doaj.org/article/51061252c67a47c4bf4bee27c22f2f3f
Publikováno v:
Royal Society Open Science, Vol 5, Iss 8 (2018)
Externí odkaz:
https://doaj.org/article/33bee51835384eefbbc35019bd420702
Publikováno v:
Royal Society Open Science, Vol 5, Iss 7 (2018)
Photogrammetry-based three-dimensional reconstruction of objects is becoming increasingly appealing in research areas unrelated to computer vision. It has the potential to facilitate the assessment of forest inventory-related parameters by enabling o
Externí odkaz:
https://doaj.org/article/df1823ea69dd44ba8ddde498e2d7567f
Autor:
Jean Liénard, Nikolay Strigul
Publikováno v:
Royal Society Open Science, Vol 3, Iss 2 (2016)
Understanding how forested ecosystems respond to climatic changes is a challenging problem as forest self-organization occurs simultaneously across multiple scales. Here, we explore the hypothesis that soil water availability shapes above-ground comp
Externí odkaz:
https://doaj.org/article/74e5f580e213455795d2cfc8d77ac555
Publikováno v:
PLoS ONE, Vol 10, Iss 2, p e0117138 (2015)
In this paper we revisit the classic theory of forest succession that relates shade tolerance and species replacement and assess its validity to understand patch-mosaic patterns of forested ecosystems of the USA. We introduce a macroscopic parameter
Externí odkaz:
https://doaj.org/article/87a1e62c1e2649fdb769d6c40ecc2f49
Publikováno v:
Forecasting
Volume 2
Issue 3
Pages 20-386
Forecasting, Vol 2, Iss 20, Pp 364-386 (2020)
Volume 2
Issue 3
Pages 20-386
Forecasting, Vol 2, Iss 20, Pp 364-386 (2020)
Forecasting of forest dynamics at a large scale is essential for land use management, global climate change and biogeochemistry modeling. We develop time series models of the forest dynamics in the conterminous United States based on forest inventory
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1aa9adf7b0d86c29e77477b8697fa41b
https://doi.org/10.3390/forecast2030020
https://doi.org/10.3390/forecast2030020
Autor:
Nikolay Strigul, Adam Erickson
Publikováno v:
Ecography. 43:682-688
Modeling forest ecosystems is a landmark challenge in science, due to the complexity of the processes involved and their importance in predicting future planetary conditions. While there are a number of open‐source forest biogeochemistry models, fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6c2780360c10443f5db2026f7e3fbf0
https://doi.org/10.1111/ecog.04756
https://doi.org/10.1111/ecog.04756
Autor:
Nikolay Strigul, Olga Rumyantseva
Publikováno v:
Climate
Volume 9
Issue 7
Climate, Vol 9, Iss 108, p 108 (2021)
Volume 9
Issue 7
Climate, Vol 9, Iss 108, p 108 (2021)
A predictive understanding of interactions between vegetation and climate has been a grand challenge in terrestrial ecology for over 200 years. Developed in recent decades, continental-scale monitoring of climate and forest dynamics enables quantitat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ce6721ad10ea72b02dd4f716c472329
Autor:
Nikolay Strigul, Adam Erickson
Management controls the spatial configuration of a number of landscapes globally, from forests to rangelands. The majority of landcover change and all land-use change is the result of human decision-making. As human populations and global temperature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b40db2b98d07042b61faa89896b2e6cc
https://doi.org/10.5194/egusphere-egu2020-19744
https://doi.org/10.5194/egusphere-egu2020-19744
Publikováno v:
Chemosphere. 242
At high concentrations, tungsten can be toxic to humans, animals, and the environment, though little is known about natural, aqueous tungsten in surface waters. To improve understanding and develop a model predicting tungsten concentrations, we colle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eea932ad6733dcec9ca3a55d6fd4f8ff
https://pubmed.ncbi.nlm.nih.gov/31698214
https://pubmed.ncbi.nlm.nih.gov/31698214