MERCURY BIOACCUMULATION IN GREEN FROG (RANA CLAMITANS) AND BULLFROG (RANA CATESBEIANA) TADPOLES FROM ACADIA NATIONAL PARK, MAINE, USA

2007 ◽  
Vol 26 (1) ◽  
pp. 118 ◽  
Author(s):  
Michael S. Bank ◽  
Jeff Crocker ◽  
Bruce Connery ◽  
Aria Amirbahman
Keyword(s):  
National Park ◽  
Rana Catesbeiana ◽  
Rana Clamitans ◽  
Green Frog ◽  
Acadia National Park ◽  
Mercury Bioaccumulation

The occurrence of chronic hypocalcemia following parathyroidectomy in the green frog, Rana clamitans

1990 ◽  
Vol 80 (3) ◽  
pp. 419-426 ◽  
Author(s):  
Lawrence W. Wittle ◽  
Ralph S. Augostini ◽  
William S. Chizmar
Keyword(s):  
Rana Clamitans ◽  
Green Frog

Characterization of Gene Expression Endpoints During Postembryonic Development of the Northern Green Frog (Rana clamitans melanota)

2013 ◽  
Vol 30 (5) ◽  
pp. 392 ◽  
Author(s):  
S. Austin Hammond ◽  
Nik Veldhoen ◽  
Marek Kobylarz ◽  
Nicholas R. Webber ◽  
Jameson Jordan ◽  
...  
Keyword(s):  
Gene Expression ◽  
Postembryonic Development ◽  
Rana Clamitans ◽  
Green Frog

Atmospheric concentrations and potential sources of PCBs, PBDEs, and pesticides to Acadia National Park

2013 ◽  
Vol 177 ◽  
pp. 116-124 ◽  
Author(s):  
Sait C. Sofuoglu ◽  
Aysun Sofuoglu ◽  
Thomas M. Holsen ◽  
Colleen M. Alexander ◽  
James J. Pagano
Keyword(s):  
National Park ◽  
Acadia National Park ◽  
Potential Sources ◽  
Atmospheric Concentrations

scholarly journals Using Remote Sensing to Monitor the Spring Phenology of Acadia National Park across Elevational Gradients

2019 ◽  
Author(s):  
Yan Liu ◽  
Caitlin McDonough MacKenzie ◽  
Richard B. Primack ◽  
Michael J. Hill ◽  
Xiaoyang Zhang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Spatial Resolution ◽  
National Park ◽  
Vegetation Index ◽  
Landsat 8 ◽  
Mountainous Area ◽  
Acadia National Park ◽  
Fusion Model ◽  
Elevational Gradients ◽  
Spring Phenology

Abstract. Greenup dates of the mountainous Acadia National Park, were monitored using remote sensing data (including Landsat 8 surface reflectances (at a 30 m spatial resolution) and VIIRS reflectances adjusted to a nadir view (gridded at a 500 m spatial resolution)) during the 2013–2016 growing seasons. Ground-level leaf-out monitoring in the areas alongside the north-south-oriented hiking trails on three of the park's tallest mountains (466 m, 418 m, and 380 m) was used to evaluate satellite derived greenup dates in this study. While the 30 m resolution would be expected to provide a better scale for phenology detection in this mountainous region than the 500 m resolution, the daily temporal resolution of the 500 m data would be expected to offer vastly superior monitoring of the rapid variations experienced during vegetation greenup along elevational gradients. Therefore, the greenup dates derived from the Landsat 8 Enhanced Vegetation Index (EVI) data, augmented with Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) simulated EVI values, does provide more spatial details than VIIRS data alone and agree well with field monitored leaf out dates. Satellite derived greenup dates from the 30 m of Acadia National Park vary among different elevational zones, although the date of greenup is not always the most advanced at the lowest elevation. This indicates that the spring phenology is not only determined by microclimates associated with different elevations in this mountainous area, but is also possibly affected by the species mixture, localized temperatures, and other factors in Acadia.

Mass Balances of Mercury and Nitrogen in Burned and Unburned Forested Watersheds at Acadia National Park, Maine, USA

2006 ◽  
Vol 126 (1-3) ◽  
pp. 69-80 ◽  
Author(s):  
S. J. Nelson ◽  
K. B. Johnson ◽  
J. S. Kahl ◽  
T. A. Haines ◽  
I. J. Fernandez
Keyword(s):  
National Park ◽  
Mass Balances ◽  
Acadia National Park ◽  
Forested Watersheds

A Comparative Study of Tradeoffs among Trail Attributes at Acadia National Park

2009 ◽  
pp. 256-266
Author(s):  
Kerri Cahill ◽  
Jeἀrey Marion ◽  
Steven Lawson
Keyword(s):  
Comparative Study ◽  
National Park ◽  
Acadia National Park
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