Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Erica A. Newman"'
Autor:
Erica A. Newman, Xiao Feng, Jesse D. Onland, Kathleen R. Walker, Steven Young, Kirk Smith, John Townsend, Dan Damian, Kacey Ernst
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Understanding drivers of disease vectors’ population dynamics is a pressing challenge. For short-lived organisms like mosquitoes, landscape-scale models must account for their highly local and rapid life cycles. Aedes aegypti, a vector of
Externí odkaz:
https://doaj.org/article/3a8f4f5820bf419ba7e9b4362fb8e590
Publikováno v:
Entropy, Vol 26, Iss 8, p 641 (2024)
Species energy theory suggests that, because of limitations on reproduction efficiency, a minimum density of plant individuals per viable species exists and that this minimum correlates the total number of plant individuals N with the number of speci
Externí odkaz:
https://doaj.org/article/eda029765ab544f8a5232c46af410bec
Publikováno v:
Communications Biology, Vol 5, Iss 1, Pp 1-6 (2022)
Combining metabolic and maximum entropy theories of ecology, the authors derive an equation of state capable of capturing the relationships between multiple ecological variables across varied spatial scales and habitats.
Externí odkaz:
https://doaj.org/article/643f0e58aad4462390f642594e65bf1b
Autor:
Jehová Lourenço Jr., Erica A. Newman, José A. Ventura, Camilla Rozindo Dias Milanez, Luciana Dias Thomaz, Douglas Tinoco Wandekoken, Brian J. Enquist
Publikováno v:
Ecosphere, Vol 12, Iss 7, Pp n/a-n/a (2021)
Abstract The severe deforestation of Brazil’s Atlantic Forest and the increasing effects of climate change underscore the need to understand how tree species respond to climate and edaphic factors. To identify the most important environmental drive
Externí odkaz:
https://doaj.org/article/c2b792bff8d24552b7b792f6c1ee2b4c
Autor:
Erica A. Newman, Mark Q. Wilber, Karen E. Kopper, Max A. Moritz, Donald A. Falk, Don McKenzie, John Harte
Publikováno v:
Ecosphere, Vol 11, Iss 1, Pp n/a-n/a (2020)
Abstract Macroecological studies have established widespread patterns of species diversity and abundance in ecosystems but have generally restricted their scope to relatively steady‐state systems. As a result, how macroecological metrics are expect
Externí odkaz:
https://doaj.org/article/738afc82bed145aa86870cd9e40d7120
Autor:
Marcus A.M. de Aguiar, Erica A. Newman, Mathias M. Pires, Justin D. Yeakel, Carl Boettiger, Laura A. Burkle, Dominique Gravel, Paulo R. Guimarães Jr, James L. O’Donnell, Timothée Poisot, Marie-Josée Fortin, David H. Hembry
Publikováno v:
PeerJ, Vol 7, p e7566 (2019)
The structure of ecological interactions is commonly understood through analyses of interaction networks. However, these analyses may be sensitive to sampling biases with respect to both the interactors (the nodes of the network) and interactions (th
Externí odkaz:
https://doaj.org/article/9e7a5fdfbc0a42f6a2396a31732b5c28
Publikováno v:
Frontiers in Ecology and Evolution, Vol 7 (2019)
Landscapes and the ecological processes they support are inherently complex systems, in that they have large numbers of heterogeneous components that interact in multiple ways, and exhibit scale dependence, non-linear dynamics, and emergent propertie
Externí odkaz:
https://doaj.org/article/1a38d7a284124bd5858ee67b0b57e4d2
Autor:
Erica A. Newman
Publikováno v:
Frontiers in Ecology and Evolution, Vol 7 (2019)
With the accumulating evidence of changing disturbance regimes becoming increasingly obvious, there is potential for disturbance ecology to become the most valuable lens through which climate-related disturbance events are interpreted. In this paper,
Externí odkaz:
https://doaj.org/article/1bb96e389b4344458e5f0e41ee5d69cc
Publikováno v:
PeerJ, Vol 6, p e5114 (2018)
Anthropogenic (or human-caused) wildfire is an increasingly important driver of ecological change on Pacific islands including southeastern Polynesia, but fire ecology studies are almost completely absent for this region. Where observations do exist,
Externí odkaz:
https://doaj.org/article/410a0c798c0b4a17b1dd6f782f306aea
Autor:
Alexander B. Brummer, Erica A. Newman
Publikováno v:
Entropy, Vol 21, Iss 7, p 712 (2019)
The Maximum Entropy Theory of Ecology (METE), is a theoretical framework of macroecology that makes a variety of realistic ecological predictions about how species richness, abundance of species, metabolic rate distributions, and spatial aggregation
Externí odkaz:
https://doaj.org/article/50bfde39b2534e549bd0feef012edfa5