scholarly journals Shrub Litter Production in a Sagebrush-Steppe Ecosystem: Rodent Population Cycles as a Regulating Factor

1987 ◽  
Vol 40 (1) ◽  
pp. 50 ◽  
Author(s):  
Robert R. Parmenter ◽  
Mark R. Mesch ◽  
James A. MacMahon

2020 ◽  
Vol 80 (1) ◽  
pp. 28
Author(s):  
Lin Liu ◽  
Kari E. Veblen ◽  
Thomas A. Monaco


Oecologia ◽  
2020 ◽  
Author(s):  
Harry P. Andreassen ◽  
Janne Sundell ◽  
Fraucke Ecke ◽  
Stefan Halle ◽  
Marko Haapakoski ◽  
...  

AbstractMost small rodent populations in the world have fascinating population dynamics. In the northern hemisphere, voles and lemmings tend to show population cycles with regular fluctuations in numbers. In the southern hemisphere, small rodents tend to have large amplitude outbreaks with less regular intervals. In the light of vast research and debate over almost a century, we here discuss the driving forces of these different rodent population dynamics. We highlight ten questions directly related to the various characteristics of relevant populations and ecosystems that still need to be answered. This overview is not intended as a complete list of questions but rather focuses on the most important issues that are essential for understanding the generality of small rodent population dynamics.



2003 ◽  
Vol 4 (2) ◽  
pp. 167-183 ◽  
Author(s):  
Tagir G. Gilmanov ◽  
Douglas A. Johnson ◽  
Nicanor Z. Saliendra


Author(s):  
N. Thompson Hobbs ◽  
Mevin B. Hooten

This chapter offers a general set of steps for writing models to assist the researcher in formulating their own approach to the Bayesian model. The crucial skill of specifying models is often neglected in statistical texts in general and texts on Bayesian modeling in particular. The central importance of model specification also motivates this chapter. The overarching challenge in building models is to specify the components of the posterior distribution and the joint distribution and to factor the joint distribution into sensible parts. This chapter first lays out a framework for doing just that, albeit in somewhat abstract terms, before moving on to a more concrete example—the effects of grazing by livestock and wild ungulates on structure and function of a sagebrush steppe ecosystem.



Author(s):  
Amy S. Commendador ◽  
Kathleen A. Lohse ◽  
Bruce P. Finney ◽  
Ken A. Aho


2019 ◽  
Vol 12 (11) ◽  
pp. 4585-4601
Author(s):  
Karun Pandit ◽  
Hamid Dashti ◽  
Nancy F. Glenn ◽  
Alejandro N. Flores ◽  
Kaitlin C. Maguire ◽  
...  

Abstract. Ecosystem dynamic models are useful for understanding ecosystem characteristics over time and space because of their efficiency over direct field measurements and applicability to broad spatial extents. Their application, however, is challenging due to internal model uncertainties and complexities arising from distinct qualities of the ecosystems being analyzed. The sagebrush-steppe ecosystem in western North America, for example, has substantial spatial and temporal heterogeneity as well as variability due to anthropogenic disturbance, invasive species, climate change, and altered fire regimes, which collectively make modeling dynamic ecosystem processes difficult. Ecosystem Demography (EDv2.2) is a robust ecosystem dynamic model, initially developed for tropical forests, that simulates energy, water, and carbon fluxes at fine scales. Although EDv2.2 has since been tested on different ecosystems via development of different plant functional types (PFT), it still lacks a shrub PFT. In this study, we developed and parameterized a shrub PFT representative of sagebrush (Artemisia spp.) ecosystems in order to initialize and test it within EDv2.2, and to promote future broad-scale analysis of restoration activities, climate change, and fire regimes in the sagebrush-steppe ecosystem. Specifically, we parameterized the sagebrush PFT within EDv2.2 to estimate gross primary production (GPP) using data from two sagebrush study sites in the northern Great Basin. To accomplish this, we employed a three-tier approach. (1) To initially parameterize the sagebrush PFT, we fitted allometric relationships for sagebrush using field-collected data, information from existing sagebrush literature, and parameters from other land models. (2) To determine influential parameters in GPP prediction, we used a sensitivity analysis to identify the five most sensitive parameters. (3) To improve model performance and validate results, we optimized these five parameters using an exhaustive search method to estimate GPP, and compared results with observations from two eddy covariance (EC) sites in the study area. Our modeled results were encouraging, with reasonable fidelity to observed values, although some negative biases (i.e., seasonal underestimates of GPP) were apparent. Our finding on preliminary parameterization of the sagebrush shrub PFT is an important step towards subsequent studies on shrubland ecosystems using EDv2.2 or any other process-based ecosystem model.



2014 ◽  
Vol 103 ◽  
pp. 1-10 ◽  
Author(s):  
Bhaskar Mitra ◽  
D. Scott Mackay ◽  
Elise Pendall ◽  
Brent E. Ewers ◽  
Meagan B. Cleary


2018 ◽  
Vol 54 (10) ◽  
pp. 8514-8527
Author(s):  
David G. Chandler ◽  
Yang Cheng ◽  
Mark S. Seyfried ◽  
Matthew D. Madsen ◽  
Chris E. Johnson ◽  
...  




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