scholarly journals Earthworm differences among mound positions in native prairies in the Ozark Highlands

age ◽  
2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Carlee D. Hensley ◽  
Kristofor R. Brye ◽  
Mary C. Savin ◽  
Lisa S. Wood ◽  
Edward E. Gbur
Keyword(s):  
Plant Disease ◽  
2019 ◽  
Vol 103 (1) ◽  
pp. 102-109
Author(s):  
Sharon E. Reed ◽  
James T. English ◽  
Rose-Marie Muzika

Widespread decline and mortality of white oaks (Quercus alba) occurred in Missouri Ozark forests between 2011 and 2017. Symptoms included rapid crown death with bronzing of leaves, retention of dead leaves, crown dieback and thinning, and loss of large limbs within one year of death. Decline and mortality were associated with hillside drainages and fit descriptions of European oak forests predisposed to decline by pathogenic Phytophthora species. A survey was performed at two locations in 2014 and 2015 to assess the distribution of dead and declining white oaks, and the occurrence and distribution of Phytophthora species. Multiple Phytophthora species were detected, including P. cinnamomi, P. cactorum, P. europaea, and P. pini. P. cinnamomi was the most common and widely distributed species among plots at both locations. The detection of P. cinnamomi at the base of white oaks was not associated with poor crown vigor. However, more quantitative survey techniques are necessary to clearly evaluate this relationship. P. cinnamomi kills fine roots of white and red oaks in North America and has been associated with the decline of white oaks in the United States (Ohio) and other countries. Further studies are needed to determine the importance of P. cinnamomi in oak decline within the Ozark highlands.


1996 ◽  
Vol 26 (4) ◽  
pp. 573-583 ◽  
Author(s):  
Daniel C. Dey ◽  
Paul S. Johnson ◽  
H.E. Garrett

This paper describes a method for modeling the regeneration of even-aged oak stands in the Ozark Highlands of southern Missouri. The approach is based on (i) a growth model that is applicable to both oak sprouts and advance reproduction and (ii) a method for probabilistically estimating future size distributions of trees. The modeling method is illustrated using sprouting frequency, survival, and 5th-year height data for stump sprouts of five oak species. To consider the large residual variation in estimates of future sprout heights, nonlinear regression estimates of heights and their prediction errors are simultaneously used to estimate the probability that a sprout originating from a parent tree of a given species and diameter will grow into a specified 5th-year height class. To account for sprouting and survival failures, those probabilities are multiplied by logistic regression estimates of the probability that a parent tree will produce a sprout that survives to age 5. The resulting joint probabilities facilitate predicting future height distributions of surviving sprouts when the model is applied to a preharvest inventory of overstory trees.


2020 ◽  
Author(s):  
◽  
Shengwu Duan

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI--COLUMBIA AT REQUEST OF AUTHOR.] Oak-dominated forests in the Ozarks Highlands of Arkansas and Missouri have been suffering severe oak decline and this became a chronic problem since the late 1970s. Such decline became increasingly severe as numerous dense oak forests in this region approaching physiological maturity. Repeated droughts and insect outbreaks in the Ozarks Highlands from 1998 to 2015 accelerate the decline process and resulted in increased mortality of the oaks, particularly those in red oak group. Given these concerns, the overall objective of this dissertation was to conduct a regional scale assessment to evaluate and predict the impact of drought and insects on the oak forests under changing climate. This dissertation contained three main objectives: 1) to evaluate the drought effect on forest growth phenology and productivity by using spatially-explicit drought indices and land surface phenology techniques to capture oak, pine and mixed oak-pine forests' responses to repeated droughts; 2) to develop a climate sensitive biotic disturbance agent (BDA) module in forest landscape modeling framework to quantify the relative importance in determining the insect disturbance regimes under the warming climate; and 3) to predict the effects of insect disturbance, climate change and their interactions on forest composition under alternative climate and insect disturbance scenarios. The dissertation provided a methodology to disassemble the spatial and temporal variation of drought conditions in the Ozark Highlands and provided new insights into improving drought resistance and recovery capacity of forests with different species under climate change. The results from this dissertation also helped to understand the importance of vegetation feedback in predicting inset disturbance regimes under a warming climate as they may mediate or even reverse the expectation of increased insect disturbance in this region. In addition, the projections of how tree species will response to insect disturbance will benefit decision making in silvicultural prescriptions and longterm management plans in the Ozark Highlands.


2014 ◽  
Vol 78 (6) ◽  
pp. 2017-2031 ◽  
Author(s):  
R.L. McMullen ◽  
K.R. Brye ◽  
D.M. Miller ◽  
R.E. Mason ◽  
A.L. Daigh ◽  
...  

The Condor ◽  
2018 ◽  
Vol 120 (3) ◽  
pp. 543-556 ◽  
Author(s):  
Melissa C. Roach ◽  
Frank R. Thompson ◽  
Todd Jones-Farrand

2018 ◽  
Vol 17 (1) ◽  
pp. 55-73 ◽  
Author(s):  
Fredericka B. Hamilton ◽  
Robert N. Wiedenmann ◽  
Michael J. Skvarla ◽  
Raghu Sathyamurthy ◽  
Danielle M. Fisher ◽  
...  

2007 ◽  
Vol 240 (1-3) ◽  
pp. 70-78 ◽  
Author(s):  
Cuizhen Wang ◽  
Zhenqian Lu ◽  
Timothy L. Haithcoat

2013 ◽  
Vol 32 (1) ◽  
pp. 70-84 ◽  
Author(s):  
Stephanie M. Sullivan ◽  
Duncan P. McKinnon
Keyword(s):  

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