Restore New Mexico Collaborative Monitoring Program

Slides:



Advertisements
Similar presentations
Standardized Scales.
Advertisements

Assessing Structure and Composition in Remnant Grasslands: An Interagency Effort Insert Your Image Here © Insert Image Credit.
Comparison of Basal and Aerial Cover for Total Vegetation Cover and Total Ground Cover on Oil & Gas Well Sites in Southwest Wyoming 2013 Joint Conference.
FIELD METHODS Strategy for Monitoring Post-fire Rehabilitation Treatments Troy Wirth and David Pyke USGS – Biological Resources Division Forest and Rangeland.
Relating Post-Treatment Vegetation Responses to Habitat Requirements of Gunnison Sage-grouse Dr. Joe Brummer Colorado State University Department of Soil.
DATA QUALITY and ANALYSIS Strategy for Monitoring Post-fire Rehabilitation Treatments Troy Wirth and David Pyke USGS – Biological Resources Division Forest.
 Discuss silvicultural principles related to restoration/fuels treatments  Compare conditions from the 1900 Cheesman Lake reconstruction to current.
I want to test a wound treatment or educational program but I have no funding or resources, How do I do it? Implementing & evaluating wound research conducted.
Centre for Geo-information Fieldwork: the role of validation in geo- information science RS&GIS Integration Course (GRS ) Lammert Kooistra Contact:
Rangeland Health Assessment and Monitoring (Framework for Ecological Site-Based Assessment and Monitoring in Mongolia) 7 July 2007 Ulan Bator, Mongolia.
STRATIFICATION PLOT PLACEMENT CONTROLS Strategy for Monitoring Post-fire Rehabilitation Treatments Troy Wirth and David Pyke USGS – Biological Resources.
A Strategy for Coupled Vegetation and Soil Sampling to Develop Ecological Site Descriptions Brandon Bestelmeyer Arlene Tugel George Peacock Homer Sanchez.
Research & Experimental Design Why do we do research History of wildlife research Descriptive v. experimental research Scientific Method Research considerations.
Long-term vegetation monitoring, an update. Pierre Hiernaux, Eric Mougin, Josiane Seghieri, François Lavenu, Nogmana Soumaguel, Lassine Diarra.
Ecological Site Descriptions and State-and-Transition models of the Caldenal.
QUALITY ASSURANCE/QUALITY CONTROL
Using existing landscape monitoring programmes for monitoring and reporting on the Habitats directive PEER Nature2000 workshop, April 2007 Hans Gardfjell,
Aim: Review Session 1 for Final Exploratory Data Analysis & Types of Studies HW: complete worksheet.
The Nature Conservancy: A Pilot Season for Cooperative Grassland Monitoring Meredith Cornett Director of Conservation Science The Nature Conservancy Minnesota,
George Peacock, Team Leader Grazing Lands Technology Development Team Central National Technology Support Center 2010 Southern Regional Cooperative Soil.
1 General Elements in Evaluation Research. 2 Types of Evaluations.
Landscape Restoration and Animal Biodiversity Bob Schooley, University of Illinois, Jornada LTER Brandon Bestelmeyer, USDA-ARS, Jornada LTER Stephanie.
Unit 3 Investigative Biology. SQA Success Criteria  Explain the difference between random sampling, systematic sampling and stratified sampling.
Bob Schooley, University of Illinois, Jornada LTER Brandon Bestelmeyer, USDA-ARS, Jornada LTER Andrea Campanella, Sierra Nevada Research Institute John.
Statistical Concepts Breda Munoz RTI International.
Some Wildlife Census Techniques
Analytical Interventional Studies
8 Experimental Research Design.
Quadrat Sampling Chi-squared Test
Issues in Evaluating Educational Research
Irvine Ranch Conservancy Monitoring on the IRNL
Warm Up – Take out a ½ sheet of paper…
SESRI Workshop on Survey-based Experiments
Causation & Experimental Design
CLINICAL PROTOCOL DEVELOPMENT
CHAPTER 10 Comparing Two Populations or Groups
Observational Study vs. Experimental Design
Ungrazed deep grassland
CHAPTER 10 Comparing Two Populations or Groups
Experiments: What Can Go Wrong?
Research in Psychology
Prairie Restorations, Inc.
Chapter Eight: Quantitative Methods
Making Causal Inferences and Ruling out Rival Explanations
11/20/2018 Study Types.
CHAPTER 4 Designing Studies
2. Stratified Random Sampling.
Department of Bioscience
Experimental Design.
SESRI Workshop on Survey-based Experiments
Experimental Design.
Delivering Conservation
CHAPTER 4 Designing Studies
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 4 Designing Studies
Experiments: Part 2.
Developing fire regimes and modeling fire restoration for abating the altered fire regime threat at scale Scott Simon, The Nature Conservancy of Arkansas.
CHAPTER 4 Designing Studies
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 4 Designing Studies
CHAPTER 4 Designing Studies
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
Monitoring for Adaptive Management BLM’s National Assessment, Inventory, and Monitoring Strategy Part information, part soapbox, part sales pitch Photo:
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
If you have your parent letter, please turn in at my desk (scissors on my desk). Get out your homework and materials for notes!
Presentation transcript:

Restore New Mexico Collaborative Monitoring Program BLM Las Cruces District Office, USDA-ARS Jornada Experimental Range Contact: Leticia Lister; Leticia_Lister@blm.gov; Brandon Bestelmeyer; Brandon.Bestelmeyer@ars.usda.gov Questions Is shrub control having beneficial effects? If so, how often and how much? Under what conditions do we see beneficial effects? Can we target these conditions? How should we adaptively manage restoration trajectories? Snapshot comparisons of treated/untreated areas can be difficult to interpret preexisting differences between “treated” and “untreated” temporal variability in treatment effects gradual changes require precise, long-term measurements Structured monitoring provides reliable answers Specify hypothesized responses: Wet springs/summers will result in recruitment or increases in size classes of perennial grasses, especially in shrub interspaces where they may be very rare. Certain non-target forb species may be harmed. Shrubs reinvade with wet winters. Precise, repeatable methods that address the hypotheses: a) Line-point intercept, b) basal gap, c) belt transects, and d) photo points on fixed lines. Based on Monitoring Manual for Grassland, Shrubland, and Savanna Ecosystems. Training and calibration of BLM staff. Resulting data can be compared with those of other monitoring efforts (NRI, AIM). Effort includes 172 total plots as of 2016. New plots are added as new treatments are applied.

Stratification and unbiased point selection for observational monitoring - random point selection in grid - inference is restricted to potentially sampled areas - stratify by management units, ecological sites, states (when known) = monitoring units - randomly select rapid assessment points at 1/250 ac per monitoring unit - randomly select monitoring points for monitoring units based on exclusion rules Rapid assessment vs monitoring Assessment determines ecological site, state, and effectiveness of herbicide application in killing shrubs. Points will be followed up with photographic monitoring. Monitoring quantifies plant community responses when shrub mortality is achieved (>75% of shrubs have > 50% leaf loss). This separates estimates of application effectiveness from response effectiveness. Experimental monitoring On all treatments starting in 2009, pre-select carefully matched treatment and control plots of 300 x 300 m of same initial ecological site, state, and landscape context. Randomly assign one of the “twins” to be a non-treated plot within treatment area Monitoring control and treatment plots before and after the treatments (BACI design) Results/interpretation For example, 5 years post-treatment in one landscape, canopy cover increased relative to controls, but mostly due to a single, ephemeral grass species. Valuable black grama grass declined in spite of treatment, suggesting a need to evaluate management.