Source: UNIVERSITY OF NEVADA submitted to NRP
DEVELOPMENT OF A PROTOTYPE SIMULATION MODEL FOR GREAT BASIN VEGETATION TRANSITIONS
Sponsoring Institution
State Agricultural Experiment Station
Project Status
COMPLETE
Funding Source
Reporting Frequency
Annual
Accession No.
0204221
Grant No.
(N/A)
Cumulative Award Amt.
(N/A)
Proposal No.
(N/A)
Multistate No.
(N/A)
Project Start Date
Jul 1, 2005
Project End Date
Jun 30, 2008
Grant Year
(N/A)
Program Code
[(N/A)]- (N/A)
Recipient Organization
UNIVERSITY OF NEVADA
(N/A)
RENO,NV 89557
Performing Department
NATURAL RESOURCES & ENVIRONMENTAL SCIENCES
Non Technical Summary
Woodland encroachment into rangeland vegetation is a global phenomenon that remains poorly understood, despite having pervasive ecological and economic effects. Since vegetation changes near the woodland-rangeland interface occur gradually over long time periods and large areas, it is difficult to test hypotheses concerning causal mechanisms directly using experimental approaches or field observations. Computer simulation models can be useful for scaling up what we know for small areas and short time periods, and for helping managers to predict possible future changes given different management scenarios. Our study will develop a prototype simulation model to investigate vegetation change at the lower woodland-sagebrush ecotone. A novel landscape model will be developed, including separate modules for vegetation succession and fire regime. Aerial photographs and field investigations will be used to compare model predictions, based on historical model runs, against current vegetation patterns. The overall goal is to integrate existing data and expert knowledge for predicting transitions among woodland, shrubland and grassland vegetation types. The model will adopt a spatially-explicit approach, where simulated outcomes are a realistic function of location on the landscape. Specific hypotheses to be explored consider the relative influences of observed patterns of climate change, grazing effects on plant competition, grazing effects on fire regime, rangeland restoration treatments, and modern fire suppression, on woodland dynamics in central Nevada.
Animal Health Component
33%
Research Effort Categories
Basic
34%
Applied
33%
Developmental
33%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
1210720107034%
1220720107033%
1230720107033%
Goals / Objectives
1. Develop a prototype model of landscape dynamics in the montane portions of the central Great Basin that incorporates key effects of fire disturbance, livestock and native ungulate grazing, climatic variability, management activities including vegetation treatments, and interactions among these influences 2. Use the model to explore how these mechanisms of change may have collectively influenced the structure and character of the woodland-sagebrush ecotone over past centuries, and may do so over future decades depending on particular management scenarios
Project Methods
Our goal is to develop a landscape-level model that represents the fundamental interactions between fire, grazing, climate and vegetation change, and does so in a spatially-explicit manner where model outcomes are a realistic function of location on the landscape. A set of retrospective model runs (past 600 to 800 years) will be used to assess the ability of the model to predict current landscape conditions. We recognize that there are many uncertainties as to past conditions of climate, fire, and particularly grazing. Our initial goal is to create a model that is broadly accurate with regard to inclusion of critical ecological processes and management drivers. We will use the retrospective model runs to explore the following general hypotheses i. Observed P-J woodland expansion is due to climate change. ii. Observed woodland expansion is due to direct effects of livestock grazing. iii. Observed woodland expansion is due to indirect effects of livestock grazing on fire regime (i.e. reduction of fine fuels). iv. Observed woodland expansion is due to anthropogenic effects on fire regime (i.e. fire suppression) apart from grazing effects. The model will then be used to forecast potential outcomes of likely management scenarios for grazing regimes, fire, and fire surrogates. Simulated management scenarios will be those suggested by managers and stakeholders during organized stakeholder workshops. The workshops will provide stakeholders the opportunity to participate actively at critical junctures of the scientific process. The model will be developed for an approximately 200-km2 area in central Nevada, centered on the Roberts Mountains. Our model will have two main components for vegetation succession and fire regime. We will include additional routines for specifying particular management and grazing treatments. Seven vegetation states will be represented in the model, including: native grassland with shrub cover absent or minimal, sagebrush grassland, dense sagebrush, tree-invaded sagebrush, mature woodland, old-growth woodland, and exotic annuals (cheatgrass). Different transition matrices will be used to represent variable topographic and edaphic conditions, based upon published literature data and an ongoing analysis of spatial patterns of vegetation change over the past 30 years. Transition probabilities will also be dependent upon climate and grazing intensity. Since we lack precise data for parameterizing the climate and grazing influences, we will conduct sensitivity and uncertainty analyses over a range of parameter values. To address our hypotheses concerning woodland expansion, we will simulate 15 model scenarios, representing all possible combinations of these four hypothesized factors. Each scenario will be run for the past 1000 years, reconstructed annual precipitation and mean annual temperature, derived from regional dendroclimatological studies. Summary outputs for vegetation type, tree canopy cover, and age class will be compared against observed patterns across the landscape.

Progress 07/01/05 to 06/30/08

Outputs
OUTPUTS: We have developed a prototype simulation model for investigating apparent woodland expansion at the lower woodland-sagebrush ecotone, representative of the central Nevadan Great Basin. The model was developed within the SELES framework. SELES is a spatially explicit landscape event simulator. For purposes of model calibration and sensitivity analysis, we mapped pinyon-juniper distribution and age class structure for an approximately 20 sq. km. area. Although the project has formally ended, model outputs and still being analyzed to describe the reciprocal interactions among disturbance regime, the landscape-level seral stage mosaic, and the probability of cheatgrass dominance. An additional project output has been a spatial model of historical harvest probabilities from 1878 to 1895. Although the project has formally ended, we are still in the process of validating this model with field data on cut stumps, charcoal platforms, logging camps and other evidence of historical tree harvesting. A manuscript is in preparation describing this model and its application. We implemented a field study to quantify the relative error associated with alternative field-based and remote-sensing methods in pinyon-juniper woodlands. Results are summarized in a paper in press in the journal Forest Science. PARTICIPANTS: Nothing significant to report during this reporting period. TARGET AUDIENCES: Nothing significant to report during this reporting period. PROJECT MODIFICATIONS: Nothing significant to report during this reporting period.

Impacts
Our canopy cover methodology study has led to specific recommendations for researchers seeking to monitor long-term changes in woodland distribution and extent using a combination of on-the-ground and aerial methods. The study of historical (early-settlement) tree harvesting indicates the importance of historical processes, which may no longer be evident on the landscape, for understanding current dynamics of rangeland succession and changing extent of tree-dominated areas. We have ported the general simulation modeling approach to a related project modeling the implications of alternative fire regime scenarios for the relative dominance of sagebrush and pinyon-juniper woodland communities on a given landscape. Once model testing has been completed, model outputs should provide managers with a quantitative means to distinguish landscape areas with persistent woodlands from areas where trees may be present today, but may not be likely to occur under particular disturbance regime scenarios.

Publications

  • Ko, D., Bristow, N., Greenwood, D. L., Weisberg, P. J. 2009. Canopy cover estimation in semi-arid woodlands: comparison of field-based and remote sensing methods. Forest Science, in press.
  • Weisberg, P.J., D. Ko, C. Py, and J. Bauer. 2008. Modeling fire and landform influences on the distribution of old-growth pinyon-juniper woodland. Landscape Ecology 23: 931-943.
  • Weisberg, P.J., J. Bauer, D. Ko, and Z. Nelson. 2008. Fire regimes of pinyon-juniper woodlands: implications for landscape change. Society of American Foresters 2008 National Convention, 11/2008. Reno NV (conference abstract).
  • Ko, D., P.J. Weisberg, A Sparrow, L. Condon. 2008. Fire regime, legacy effects, and cheatgrass invasion in the Great Basin of central Nevada. Annual meeting of the US-IALE (U.S. Chapter of the International Association for Landscape Ecology), Madison, WI. 4-7-2008. (conference abstract)


Progress 01/01/07 to 12/31/07

Outputs
The goal of this research is to develop a prototype simulation model for investigating apparent woodland expansion at the lower woodland-sagebrush ecotone, for a large study landscape in the central Nevadan Great Basin. We are initially focusing on the Simpson Park Range northeast of Austin, where we have previously studied patterns and rates of changes in woodland area and tree cover. The purpose of the model is to explore the relative influences of climate change, grazing effects on plant competition, grazing effects on fire regime, tree harvesting during the early settlement period, rangeland restoration treatments, and modern fire suppression, on woodland dynamics in the central Nevada Great Basin. The model, originally developed within the TELSA framework, is being redesigned using the SELES framework. SELES is a spatially explicit landscape event simulator. Vegetation dynamics are modeled using a state-and-transition model, while ecological and cultural disturbances are modeled using stochastic landscape spread models. For purposes of model calibration and sensitivity analysis, we have mapped pinyon-juniper distribution and age class structure for an approximately 20 sq. km. area. An object-oriented image analysis approach was used to derive vegetation polygons as homogeneous patches; patches were then classified using photointerpretation and field observations. A spatial model has been developed for estimating historical harvest probabilities from 1878 to 1895. Field data on evidence for historical disturbance have been collected and will be used to validate this model. A field study was implemented to quantify the relative error associated with alternative methods for estimating tree canopy cover in pinyon-juniper woodlands. In particular, we are interested in how field-based methods compare with methods utilizing aerial photography, and how to convert or translate estimates from one approach to another. A manuscript on this topic has been submitted to a peer-reviewed journal.

Impacts
The modeling approach should provide managers with a quantitative means to identify which areas of pinyon-juniper woodland are appropriate for restoration to shrub or grassland dominated states. Model outputs will provide useful guidance for separating woodlands that have recently invaded non-woodland vegetation types from old-growth woodland types. The model development process will improve our understanding of vegetation dynamics in Great Basin montane systems, including recent processes of woodland expansion. Our work on canopy cover estimation methods demonstrates that researchers should match cover estimation methods to canopy structures of the system being investigated, and pay attention to the scale and range of canopy cover where bias and uncertainties dominate. It may be inaccurate to scale from field plot measurements to landscape-level cover estimates using simple areal extrapolation.

Publications

  • Weisberg, P.J., Bauer, J., Ko, D., Lingua, E. 2007. Published Abstract. Increased conifer dominance in the Nevada Great Basin, USA: landscape change in the context of fire, grazing and human influences. International Conference: Natural Hazards and Natural Disturbances in Mountain Forests. Trento, Italy.


Progress 01/01/06 to 12/31/06

Outputs
The goal of this research is to develop a prototype simulation model for investigating apparent woodland expansion at the lower woodland-sagebrush ecotone, for a large study landscape in the central Nevadan Great Basin. We are initially focusing on the Simpson Park Range northeast of Austin, where we have previously studied patterns and rates of changes in woodland area and tree cover. The purpose of the model is to explore the relative influences of climate change, grazing effects on plant competition, grazing effects on fire regime, tree harvesting during the early settlement period, rangeland restoration treatments, and modern fire suppression, on woodland dynamics in the central Nevada Great Basin. A post-doctoral researcher, Dongwook Ko, has been hired (since 2-06) to work primarily on this project. The model structure has largely been developed, within the TELSA (Tool for Exploratory Landscape Scenario Analyses) framework for simulating vegetation disturbance and succession. This is a spatially-explicit, state-and-transition landscape model which can incorporate natural and anthropogenic disturbances including their interaction with grazing effects. We are in the process of parameterizing and calibrating the model so that it realistically represents dynamics of Great Basin vegetation. In order to parameterize successional trajectories, fire regime and historical driving variables, we have initiated the following sets of analyses: (1) spatial analyses of old-growth pinyon-juniper (PJ) distribution; (2) acquisition and digitization of General Land Office survey records from the late 1800s and early 1900s; (3) spatial modeling of PJ distribution according to topographic and biophysical GIS data layers; (4) development of a separate model to simulate spatial distribution of historical grazing and logging impacts. The latter model of historical grazing impacts is implemented in S-Plus and C and uses a convection-diffusion approach to represent movement of cattle and sheep from water sources. A cost-of-movement component, incorporating topographic and site productivity influences on grazing probability, is under development. Also under development is a similarly structured model of historical tree harvesting impacts due to the charcoal/mining industries and the needs of population centers. We have begun to develop the spatial datasets underlying this model, including digitization of 19th Century mining locations and production levels, and GIS modeling of charcoal platforms as a function of terrain and proximity to transportation corridors, using results from previous anthropological studies in the area.

Impacts
The modeling approach should provide managers with a quantitative means to identify which areas of pinyon-juniper woodland are appropriate for restoration to shrub or grassland dominated states. Model outputs will provide useful guidance for separating woodlands that have recently invaded non-woodland vegetation types from old-growth woodland types. The model development process will improve our understanding of vegetation dynamics in Great Basin montane systems, including recent processes of woodland expansion.

Publications

  • Ko, D., P.J. Weisberg and A.D. Sparrow. 2007. Landscape simulation modeling of anthropogenic impacts on pinyon-juniper woodland distribution during early settlement: Nevada Great Basin. Published abstract, US-IALE (US chapter of the International Association for Landscape Ecology) 22nd Annual Conference, April 2007, Tucson AZ.


Progress 07/01/05 to 12/31/05

Outputs
A postdoctoral research associate (Dr. Dongwook Ko) has been hired to take the lead on modeling activities associated with this project. Dr. Ko, whose prior experience has emphasized development and application of landscape vegetation models, will start in February 2006. The opportunity to hire a postdoc instead of a graduate student to work on this project has arisen because of a collaboration forged with Dr. Ashley Sparrow, who will contribute funds and act as co-PI in this investigation. Weisberg attended a TELSA landscape modeling workshop in January 2006, and we are strongly considering adaptation of TELSA for model development in this project. Weisberg and Ko will participate in stakeholder meetings planned by Cooperative Extension for Winter/Spring 2006, which will address state-and-transition models. Based upon these meetings, future stakeholder meetings will be planned to address the outreach and model development needs of this project. Finally, we have initiated a comparative investigation of different spatial analytical methods for distinguishing areas of old-growth woodland from woodland expansion, including GIS-based and simple cellular automata modeling approaches. Results are still quite preliminary, but suggest that the spatial pattern of fuels is a more important predictor for locating old PJ woodlands than are topographic variables indicative of fire barriers and conduits, and that static GIS-based models give results comparable to those of simple dynamic disturbance propagation models.

Impacts
The modeling approach should provide managers with a quantitative means to identify which areas of pinyon-juniper woodland are appropriate for restoration to shrub or grassland dominated states. Model outputs will provide useful guidance for separating woodlands that have recently invaded non-woodland vegetation types from old-growth woodland types. The model development process will improve our understanding of vegetation dynamics in Great Basin montane systems, including recent processes of woodland expansion.

Publications

  • No publications reported this period