scholarly journals Changes in Forest Composition, Stem Density, and Biomass from the Settlement Era (1800s) to Present in the Upper Midwestern United States

2015 ◽  
Author(s):  
Simon Goring ◽  
David J Mladenoff ◽  
Charles V Cogbill ◽  
Sydne Record ◽  
Christopher J Paciorek ◽  
...  

EuroAmerican land use and its legacies have transformed forest structure and composition across the United States (US). More accurate reconstructions of historical states are critical to understanding the processes governing past, current, and future forest dynamics. Gridded (8x8km) estimates of pre-settlement (1800s) forests from the upper Midwestern US (Minnesota, Wisconsin, and most of Michigan) using 19th Century Public Land Survey (PLS) records provide relative composition, biomass, stem density, and basal area for 26 tree genera. This mapping is more robust than past efforts, using spatially varying correction factors to accommodate sampling design, azimuthal censoring, and biases in tree selection. We compare pre-settlement to modern forests using Forest Inventory and Analysis (FIA) data, with respect to structural changes and the prevalence of lost forests, pre-settlement forests with no current analogue, and novel forests, modern forests with no past analogs. Differences between PLSS and FIA forests are spatially structured as a result of differences in the underlying ecology and land use impacts in the Upper Midwestern United States. Modern biomass is higher than pre-settlement biomass in the northwest (Minnesota and north-eastern Wisconsin, including regions that were historically open savanna), and lower in the east (eastern Wisconsin and Michigan), due to shifts in species composition and, presumably, average stand age. Modern forests are more homogeneous, and ecotonal gradients are more diffuse today than in the past. Novel forest assemblages represent 29% of all FIA cells, while 25% of pre-settlement forests no longer exist in a modern context. Lost forests are centered around the forests of the Tension Zone, particularly in hemlock dominated forests of north-central Wisconsin, and in oak-elm-basswood forests along the forest-prairie boundary in south central Minnesota and eastern Wisconsin. Novel FIA forest assemblages are distributed evenly across the region, but novelty shows a strong relationship to spatial distance from remnant forests in the upper Midwest, with novelty predicted at between 20 to 60km from remnants, depending on historical forest type. The spatial relationships between remnant and novel forests, shifts in ecotone structure and the loss of historic forest types point to significant challenges to land managers if landscape restoration is a priority in the region. The spatial signals of novelty and ecological change also point to potential challenges in using modern spatial distributions of species and communities and their relationship to underlying geophysical and climatic attributes in understanding potential responses to changing climate. The signal of human settlement on modern forests is broad, spatially varying and acts to homogenize modern forests relative to their historic counterparts, with significant implications for future management.

PLoS ONE ◽  
2016 ◽  
Vol 11 (12) ◽  
pp. e0151935 ◽  
Author(s):  
Simon J. Goring ◽  
David J. Mladenoff ◽  
Charles V. Cogbill ◽  
Sydne Record ◽  
Christopher J. Paciorek ◽  
...  

2002 ◽  
Vol 26 (2) ◽  
pp. 78-84 ◽  
Author(s):  
SoEun Ahn ◽  
Andrew J. Plantinga ◽  
Ralph J. Alig

Abstract This article presents historical trends and future projections of forest, agricultural, and urban/other land uses for the South Central region of the United States. An econometric land use model is used to investigate the relationship between the areas of land in alternative uses and economic and demographic factors influencing land use decisions. Determinants of land use included in the model are the net returns from different land uses, land quality, and demographic variables such as population density. Given projections of stumpage prices and population, the fitted econometric models are used to generate projections of future land use to the year 2050. Under a scenario in which population changes in the future, but stumpage prices remain constant, urban/other land increases by 2.2 million ac from 1992 to 2050. More private timberland (1.8 million ac) than agricultural land (0.4 million ac) is converted to urban/other land to accommodate the population increase. Under a scenario of population growth and 0.5% annual increases in stumpage prices, private timberland increases from 101.7 million ac to 107.2 million ac by 2050, and the urban/other land increases by 1.3 million ac. Agricultural land declines by almost 7 million ac, mirroring the increases in the urban/other land and private timberland. South. J. Appl. For. 26(2):78–84.


1964 ◽  
Vol 46 (3) ◽  
pp. 698
Author(s):  
A. Allan Schmid ◽  
Howard W. Ottoson

2003 ◽  
Vol 13 (1) ◽  
pp. 63-70 ◽  
Author(s):  
Zhiqiang Gao ◽  
Jiyuan Liu ◽  
Xiangzheng Deng

Plant Disease ◽  
2018 ◽  
Vol 102 (5) ◽  
pp. 955-963
Author(s):  
Brijesh B. Karakkat ◽  
Vonte L. Jackson ◽  
Paul L. Koch

Crown rust (caused by Puccinia coronata) and stem rust (caused by P. graminis) are two common and destructive diseases of turfgrass in the United States. Crown rust has been associated with perennial ryegrass and stem rust with Kentucky bluegrass when identified based solely on fungal morphology. However, recent studies using molecular identification methods have indicated the host–pathogen relationship of rusts on turf to be more complex. Our primary objective was to quickly and accurately identify P. coronata and P. graminis in symptomatic turfgrass leaves over 3 years on turfgrass samples from across the Midwestern United States. Between 2013 and 2015, 413 samples of symptomatic cool-season turfgrass from Wisconsin and surrounding states were screened using real-time polymerase chain reaction. Of these samples, 396 were Kentucky bluegrass and 17% of them contained P. coronata, 69% contained P. graminis, and 13% contained both P. coronata and P. graminis. In addition, both year and location effects were observed on the distribution of Puccinia spp. collected annually from two locations in southern Wisconsin. This research supports previous conclusions that have identified variability among P. graminis and P. coronata host relationships on turfgrass, and further demonstrates that rust fungal populations on Kentucky bluegrass may not be consistent between locations in the same year or over multiple years at the same location. The increasing evidence of variation in the turfgrass rust populations will likely affect future rust management and turfgrass breeding efforts.


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