A survey of the spiders of Black Rock Forest Preserve in New York (Arachnida: Araneae)

2014 ◽  
Vol 120 (1 & 2) ◽  
pp. 24-38 ◽  
Author(s):  
Vladimir I. Ovtcharenko ◽  
Andrei V. Tanasevitch ◽  
Boris P. Zakharov
Keyword(s):  
New York ◽  
Forest Preserve

scholarly journals Indirect Effects of Forest Management on Riparian Zone Characteristics in the Adirondack Uplands of New York

2006 ◽  
Vol 23 (4) ◽  
pp. 273-279 ◽  
Author(s):  
Michael Dieterich ◽  
Thomas Woodcock ◽  
Kenneth Adams ◽  
Timothy Mihuc
Keyword(s):  
New York ◽  
Land Use ◽  
Forest Management ◽  
Riparian Zone ◽  
Riparian Areas ◽  
Terrestrial Habitats ◽  
Unmanaged Forest ◽  
Herbaceous Community ◽  
Forest Preserve ◽  
Riparian Plant

Abstract Riparian zones are transitional areas between streams and adjacent terrestrial habitats, and they typically have vegetation communities distinct from both. To identify possible effects of forest management within a watershed on riparian plant community structure and riparian zone width,understory vegetation was sampled in three managed and three unmanaged (Forest Preserve) watersheds (250ߝ550 ha) in the Adirondack Park, New York, at three lateral distances (2, 7, and 12 m) from the stream (n = 6). Abundance of herbs was greater at Preserve sites, althoughrichness was not affected by land use. Abundance and richness both decreased with distance from the stream within each land use type, and this decrease was less steep at Forest Preserve sites. Abundance of saplings was greater under management, and saplings did not respond to distance fromthe channel. Binary discriminant analysis demonstrated differences in herb community composition between land uses, although this difference decreased with increasing proximity to the channel. Although none of the riparian areas in this study have been directly logged, this study shows thatindirect effects of management in a watershed (e.g., increased light and evapotranspiration) can alter the riparian herbaceous community, increase the density of saplings, and narrow the riparian zone of small upland streams. North. J. Appl. For. 23(4):273–279.

scholarly journals Predicting Eurasian Watermilfoil and Curly-leaf Pondweed Presence-Absence in Adirondack Lakes Using Geographically Weighted Logistic Regression

2021 ◽  
Author(s):  
Jelena Grbic
Keyword(s):  
New York ◽  
Logistic Regression ◽  
Model Performance ◽  
Adirondack Park ◽  
Eurasian Watermilfoil ◽  
Weighted Logistic Regression ◽  
Adirondack Lakes ◽  
Geographically Weighted Logistic Regression ◽  
Forest Preserve ◽  
Curly Leaf

Aquatic invasive species, Eurasian Watermilfoil (EWM) and Curly-leaf Pondweed (CLP), have been dispersing across New York, USA and are threatening the ecosystem of Adirondack Park, a state park with a large forest preserve and heavily frequented by tourists. In this study, the prediction of EWM and CLP invasion across Adirondack Park lakes is modeled using logistic regression (LR) and geographically weighted logistic regression (GWLR) with lake, landscape, and climate variable predictors. EWM presence-absence is found to be best predicted by nearby invaded lakes, human presence, and elevation. The presence-absence of CLP models have similar findings, with the addition of game-fish abundance being important. GWLR increases model performance and prediction, with explained variation of EWM and CLP increasing by 23% and 16% and the percent correctly predicted increasing by 2.6% and 0.9%. The study shows that GWLR, a relatively novel methodology, works better than common LR models for predicting invasion of EWM and CLP across Adirondack Park, and corroborates anthropogenic influences on dispersal of aquatic invaders.

“A Three-Year Vacation”

2021 ◽  
pp. 24-40
Author(s):  
Brad Edmondson
Keyword(s):  
New York ◽  
Early Life ◽  
New York State ◽  
State Legislature ◽  
Salvage Logging ◽  
York State ◽  
Regional Director ◽  
Aerial Observation ◽  
Roadless Areas ◽  
Forest Preserve

This chapter recounts the Big Blowdown of 1950 in Adirondack, New York. It introduces Clarence Petty, a New York State Forest Ranger who was asked to go up and look at the damage that had happened in the Adirondack Forest Preserve. The chapter outlines the appeal of foresters to the state legislature to start a salvage logging program in the forest preserve. It then turns to narrate the early life of Clarence, from being a park ranger to pilot, as well as the story of his brother's life Bill Petty, a regional director of the Conservation Department. Clarence became the undisputed authority on the forest preserve. He combined his years of aerial observation with three major surveying assignments that took him to every acre of state-owned land in the Adirondacks. He called his first assignment “a three-year vacation.” The chapter examines the statewide version of the disagreement between the Petty brothers, in which Clarence and other Forever Wild advocates were horrified by salvage logging in the forest preserve, while Bill and other scientific foresters replied that the friends of the Forever Wild clause were silly and sentimental. Ultimately, the chapter reviews the work of Neil Stout and Clarence Petty to make detailed maps and gather as much useful data as possible on the large roadless areas in the forest preserve.

scholarly journals Predicting Eurasian Watermilfoil and Curly-leaf Pondweed Presence-Absence in Adirondack Lakes Using Geographically Weighted Logistic Regression

2021 ◽  
Author(s):  
Jelena Grbic
Keyword(s):  
New York ◽  
Logistic Regression ◽  
Model Performance ◽  
Adirondack Park ◽  
Eurasian Watermilfoil ◽  
Weighted Logistic Regression ◽  
Adirondack Lakes ◽  
Geographically Weighted Logistic Regression ◽  
Forest Preserve ◽  
Curly Leaf

Aquatic invasive species, Eurasian Watermilfoil (EWM) and Curly-leaf Pondweed (CLP), have been dispersing across New York, USA and are threatening the ecosystem of Adirondack Park, a state park with a large forest preserve and heavily frequented by tourists. In this study, the prediction of EWM and CLP invasion across Adirondack Park lakes is modeled using logistic regression (LR) and geographically weighted logistic regression (GWLR) with lake, landscape, and climate variable predictors. EWM presence-absence is found to be best predicted by nearby invaded lakes, human presence, and elevation. The presence-absence of CLP models have similar findings, with the addition of game-fish abundance being important. GWLR increases model performance and prediction, with explained variation of EWM and CLP increasing by 23% and 16% and the percent correctly predicted increasing by 2.6% and 0.9%. The study shows that GWLR, a relatively novel methodology, works better than common LR models for predicting invasion of EWM and CLP across Adirondack Park, and corroborates anthropogenic influences on dispersal of aquatic invaders.

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