Zobrazeno 1 - 10
of 276
pro vyhledávání: '"A. G. Plant"'
Publikováno v:
Earth and Space Science, Vol 9, Iss 11, Pp n/a-n/a (2022)
Abstract Evaluation of sea‐level rise (SLR) impacts on coastal landforms and habitats is a persistent need for informing coastal planning and management, including policy decisions, particularly those that balance human interests and habitat protec
Externí odkaz:
https://doaj.org/article/7838e8ffcd5143b2b77c74bcb1d3a769
Autor:
X. Yu, D. B. Millet, K. C. Wells, D. K. Henze, H. Cao, T. J. Griffis, E. A. Kort, G. Plant, M. J. Deventer, R. K. Kolka, D. T. Roman, K. J. Davis, A. R. Desai, B. C. Baier, K. McKain, A. C. Czarnetzki, A. A. Bloom
Publikováno v:
Atmospheric Chemistry and Physics, Vol 21, Pp 951-971 (2021)
We apply airborne measurements across three seasons (summer, winter and spring 2017–2018) in a multi-inversion framework to quantify methane emissions from the US Corn Belt and Upper Midwest, a key agricultural and wetland source region. Combing ou
Externí odkaz:
https://doaj.org/article/67f17a2566a44508b2c116929890ee52
Publikováno v:
Earth's Future, Vol 10, Iss 4, Pp n/a-n/a (2022)
Abstract Forecasting biogeomorphological conditions for barrier islands is critical for informing sea‐level rise (SLR) planning, including management of coastal development and ecosystems. We combined five probabilistic models to predict SLR‐driv
Externí odkaz:
https://doaj.org/article/6a29b7db0c7441e38eeb36162029a7a8
Publikováno v:
Earth Surface Dynamics, Vol 7, Pp 429-438 (2019)
Understanding land loss or resilience in response to sea-level rise (SLR) requires spatially extensive and continuous datasets to capture landscape variability. We investigate the sensitivity and skill of a model that predicts dynamic response likeli
Externí odkaz:
https://doaj.org/article/6d155b5c678a480e8f788e718527ee2b
Publikováno v:
Ecosphere, Vol 12, Iss 3, Pp n/a-n/a (2021)
Abstract Habitat studies that encompass a large portion of a species’ geographic distribution can explain characteristics that are either consistent or variable, further informing inference from more localized studies and improving management succe
Externí odkaz:
https://doaj.org/article/60b60e6067cb49c897ebbdd1c44ca8b7
Publikováno v:
Conservation Science and Practice, Vol 2, Iss 2, Pp n/a-n/a (2020)
Abstract Conservation management often requires decision‐making without perfect knowledge of the at‐risk species or ecosystem. Species distribution models (SDMs) are useful but largely under‐utilized due to model uncertainty. We used an ensembl
Externí odkaz:
https://doaj.org/article/f386abd68b394fe1a59da592af47e9b7
Publikováno v:
Remote Sensing, Vol 13, Iss 18, p 3779 (2021)
The magnitude and frequency of storm events, relative sea-level rise (RSLR), sediment supply, and anthropogenic alterations drive the morphologic evolution of barrier island systems, although the relative importance of any one driver will vary with t
Externí odkaz:
https://doaj.org/article/256bd728a24a46a4b9938877e5dc76bd
Autor:
Sara L. Zeigler, E. Robert Thieler, Benjamin T. Gutierrez, Nathaniel G. Plant, Megan Hines, James D. Fraser, Daniel H. Catlin, Sarah M. Karpanty
Publikováno v:
Wildlife Society Bulletin, Vol 41, Iss 4, Pp 666-677 (2017)
ABSTRACT Understanding patterns of habitat selection across a species’ geographic distribution can be critical for adequately managing populations and planning for habitat loss and related threats. However, studies of habitat selection can be time
Externí odkaz:
https://doaj.org/article/f65332729164463dbc3246239af7dbc4
Autor:
Deborah G. Plant
Publikováno v:
American Political Thought. 11:409-412
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b664a1d2015a694aa645779e1fc078b8
https://doi.org/10.1086/720686
https://doi.org/10.1086/720686
Publikováno v:
Journal of Marine Science and Engineering, Vol 8, Iss 12, p 977 (2020)
Coastal zone managers require models that predict barrier island change on decadal time scales to estimate coastal vulnerability, and plan habitat restoration and coastal protection projects. To meet these needs, methods must be available for predict
Externí odkaz:
https://doaj.org/article/caecab840c634c4eadd09ecbfc4c6502