Observing Spring and Fall Phenology in a Deciduous Forest with Aerial Drone Imagery

Autor: Stephen Klosterman, Andrew D. Richardson

Publikováno v: Sensors, Vol 17, Iss 12, p 2852 (2017)

Plant phenology is a sensitive indicator of the effects of global change on terrestrial ecosystems and controls the timing of key ecosystem functions including photosynthesis and transpiration. Aerial drone imagery and photogrammetric techniques prom

Externí odkaz: https://doaj.org/article/939340c448cf4437bb23b3262bfd91bd

Data Science Projects with Python : A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-learn

Autor: Stephen Klosterman

Gain hands-on experience with industry-standard data analysis and machine learning tools in PythonKey FeaturesTackle data science problems by identifying the problem to be solvedIllustrate patterns in data using appropriate visualizationsImplement su

Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery

Autor: Stephen E. Frolking, Trevor F. Keenan, Donald M. Aubrecht, Tom Milliman, Margaret Kosmala, Eli K. Melaas, Stephen Klosterman, Min Chen, Mark A. Friedl, Andrew D. Richardson, Josh M. Gray, Miriam R. Johnston, Koen Hufkens

Publikováno v: Scientific data, vol 5, iss 1
Richardson, AD; Hufkens, K; Milliman, T; Aubrecht, DM; Chen, M; Gray, JM; et al.(2018). Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery. Scientific Data, 5. doi: 10.1038/sdata.2018.28. UC Berkeley: Retrieved from: http://www.escholarship.org/uc/item/46v7n34w
Scientific Data

Vegetation phenology controls the seasonality of many ecosystem processes, as well as numerous biosphere-atmosphere feedbacks. Phenology is also highly sensitive to climate change and variability. Here we present a series of datasets, together consis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe2715ebaa517296b6f880649c57e006

Transitions in high-Arctic vegetation growth patterns and ecosystem productivity tracked with automated cameras from 2000 to 2013

Autor: Stephen Klosterman, Birger Ulf Hansen, Stine Højlund Pedersen, Magnus Lund, Jakob Abermann, Niels Martin Schmidt, Andreas Westergaard-Nielsen

Publikováno v: Westergaard-Nielsen, A, Lund, M, Pedersen, S H, Schmidt, N M, Klosterman, S, Abermann, J & Ulf Hansen, B 2017, ' Transitions in high-Arctic vegetation growth patterns and ecosystem productivity tracked with automated cameras from 2000 to 2013 ', Ambio, vol. 46, no. Suppl. 1, pp. 39-S52 . https://doi.org/10.1007/s13280-016-0864-8
Ambio
Westergaard-Nielsen, A, Lund, M, Pedersen, S H, Schmidt, N M, Klosterman, S, Abermann, J & Hansen, B 2017, ' Transitions in high-Arctic vegetation growth patterns and ecosystem productivity tracked with automated cameras from 2000 to 2013 ', Ambio, vol. 46, no. Suppl. 1, pp. 39-52 . https://doi.org/10.1007/s13280-016-0864-8

Climate-induced changes in vegetation phenology at northern latitudes are still poorly understood. Continued monitoring and research are therefore needed to improve the understanding of abiotic drivers. Here we used 14 years of time lapse imagery and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ea621719ea2a45d4b22ad9026e19997
https://pure.au.dk/portal/da/publications/transitions-in-higharctic-vegetation-growth-patterns-and-ecosystem-productivity-tracked-with-automated-cameras-from-2000-to-2013(c2b8f001-9bef-48e4-93fd-656b67780563).html

Ecosystem fluxes of hydrogen in a mid-latitude forest driven by soil microorganisms and plants

Autor: Trevor F. Keenan, Pamela H. Templer, Ronald G. Prinn, J. William Munger, Steven C. Wofsy, Stephen Klosterman, Laura Meredith, Roisin Commane, Jianwu Tang

Publikováno v: Global change biology. 23(2)

Molecular hydrogen (H2 ) is an atmospheric trace gas with a large microbe-mediated soil sink, yet cycling of this compound throughout ecosystems is poorly understood. Measurements of the sources and sinks of H2 in various ecosystems are sparse, resul

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6cea75cae2933e11d96ead24e94f8ab
https://pubmed.ncbi.nlm.nih.gov/27514856