Charles Goebel School of Environment & Natural Resources The Ohio State University Prioritizing Restoration Efforts.

Slides:



Advertisements
Similar presentations
1 Nicole Carlozo NOAA Coastal Management Fellow June 7, 2013 Integrating Water Quality and Coastal Resources into Marine Spatial Planning in the Chesapeake.
Advertisements

Using Spatial Information Technology To Fuse Traditional Native and Modern Resource Management Strategies.
Process – Resource Evaluation Design and perform a set of geographically based resource assessments Develop a methodology for prioritizing land according.
Systematic Conservation Planning, Land Use Planning and SEA in South Africa Sustainable development embodied in Constitution Secure ecologically sustainable.
“ Establishment of a Land Resources Information System for the evaluation of scenarios of sustainable agriculture land use “ Regional Project FAO - GCP/RLA/126/JPN.
Tom Craven Matt Simon Anne Trainor.  Construct a RHESSys ecohydrologic model for Sandhills Region.
Snapshot of Northeast Ohio Environment. Overview Topography Watersheds Parks and Conservation Areas Land Cover (developed areas, forests, wetlands, agriculture)
Vegetation Soil, Landscape Hydrology Process for Assessing Proper Functioning Condition Vegetation Items.
Developing Modeling Tools in Support of Nutrient Reduction Policies Randy Mentz Adam Freihoefer, Trip Hook, & Theresa Nelson Water Quality Modeling Technical.
The adequacy of the existing reserve system for the protection of freshwater ecosystems Janet Stein Fenner School of Environment and Society.
DETERMINING LAND DEVELOPMENT EFFECT ON SURFACE RUNOFF USING GIS.
C-CAP The Coastal Change Analysis Program Overview of C-CAP Products, Vision, Status, and Related Tools from the Coastal Services Center.
Simon linke robert. l. pressey robert c. bailey richard h. norris the ecology centre university of queensland australia
Raster Based GIS Analysis
Regional River Management: Recent developments in the Great Lakes Basin M. J. Wiley & M. Omair School of Natural Resources and Environment University of.
Conservation Management Institute Scott Klopfer and Ken Convery.
Presented by Jason Afinowicz Biological and Agricultural Engineering Department, Texas A&M University CVEN 689 Applications of GIS to Civil Engineering.
EEP Watershed Planning Overview August 12, Ecosystem Enhancement Program Nationally recognized, innovative, non-regulatory program formed in July.
Habitat Assessment Modeling: Ecosystem Diagnosis and Treatment
SOUTH AFRICA A unique approach to conservation as an agent for stimulating development Transboundary Conservation.
Jeremy Erickson, Lucinda B. Johnson, Terry Brown, Valerie Brady, Natural Resources Research Institute, University of MN Duluth.
Geographic Information Systems Applications in Natural Resource Management Chapter 12 Synthesis of Techniques Applied to Advanced Topics Michael G. Wing.
A Review of Stream Restoration Techniques and a Hierarchical Strategy for Prioritizing Restoration in Pacific Northwest Watersheds North American Journal.
PFC Assessment Approach & Definitions Creeks and Communities.
FNR 402 – Forest Watershed Management
Ecology and environment, inc. International Specialists in the Environment The McKinstry Creek & Riparian Area NYSDOT Rt. 219 Mitigation Project Analysis.
Blending Science with Traditional Ecological Knowledge  Frank K. Lake  Environmental Science, Graduate Ph.D program  US Forest Service- Redwood Sciences.
Measuring Habitat and Biodiversity Outcomes Sara Vickerman and Frank Casey September 26, 2013 Defenders of Wildlife.
Title Date1 WAVES © 2014 Wealth Accounting and the Valuation of Ecosystem Services Biophysical modeling of ecosystem services:
Habitat Restoration Division Coastal Program Partner For Wildlife Program Schoolyard Habitats Chesapeake Bay Field Office U.S. Fish and Wildlife Service.
NATHAN FOSTER WARM SEASON WORKSHOP 5/2/12 The Flash Flood Potential Index (FFPI) Project at BTV.
King County Normative Flow Project Parametrix, King County, Herrera, & Foster Wheeler Normative Flow Studies King County Department of Natural Resources.
Center for Watershed Protection USDA Forest Service, Northeastern Area, State and Private Forestry How to estimate future forest cover in a watershed.
Suggested Guidelines for Geomorphic aspects of Anadromous Salmonid Habitat Restoration proposals G. Mathias Kondolf.
A Land Preservation Framework for the Cacapon Watershed of West Virginia Michael P. Strager Charles B. Yuill Natural Resource Analysis Center West Virginia.
Interim Headwater Drainage Feature Guideline: Protecting HDFs through Urbanization Laura C.R. Del Giudice, B.Sc., M.F.C., Senior Planning Ecologist.
Standards for Ecologically Successful River Restoration Palmer et al., 2005, Standards for Ecologically Successful River Restoration Palmer et al., 2005,
Select High Quality Natural Communities MLCCS Slope & Aspect Restoration Prioritization and Prediction Model (RePP) SUMMARY: In 2008, Ecological Strategies.
A GIS-Based Model to Identify Sensitive Water Resource Properties in Need of Protection 2009 Watershed Science and Technical Conference September 14 &
L'Anguille River Riparian Modeling Biological and Agricultural Engineering 2010 Non-Point Source Project Review Meeting Cooperative Extension Service Dharmendra.
Desktop Analysis Used To: Identify areas that meet certain criteria (e.g. contig forest 50 acres+, id gaps as well, or set lower value in urban area) Identify.
Models in GIS A model is a description of reality It may be: Dynamic orStatic Dynamic spatial models e.g., hydrologic flow Static spatial models (or point.
Stormwater Retrofitting: The Art of Opportunity Prepared by the Center for Watershed Protection.
Characterizing, measuring and visualizing forest resources An inadequate treatment by an unqualified presenter.
Methods 1. Dune area delineated with GIS before and after storms 2. Calculate total loss and mean loss in dune area for foredunes (N = 26) and secondary.
Natural Disturbance and Environmental Assessments in the Oil Sands Region Linda Halsey April 2012.
WATERSHED INVENTORY AND ASSESSMENT Module 7, part A – Issues and Description.
KNOWLEDGE BASED TECHNIQUES INTRODUCTION many geographical problems are ill-structured an ill-structured problem "lacks a solution algorithm.
Applications of Spatial Statistics in Ecology Introduction.
An Adaptive Management Model for the Red River Basin of the North.
Ecological Landscape Analysis Project Background and Status.
Habitat suitability based landscape optimization vs. expert rules in agricultural landscapes Lutz Tischendorf Elutis Modelling & Consulting Inc. January.
Lake Raleigh Wetland Creation Feasibility Study NC State Centennial Campus Melanie Carter, Jennifer Burdette, Amanda Jones.
Green Infrastructure Network Design & Optimization The Conservation Fund Will Allen, Director of Strategic Conservation
Habitat Mapping of High Level Indicators at Multiple Scales for Fish and Wildlife.
Lake Roosevelt Rainbow Trout Habitat/Passage Improvement Project No Jason McLellan Confederated Tribes of the Colville Reservation January.
Impacts of Riparian Ecosystems on Water Quality in the Western Upper Suwannee River Watershed Richard Lowrance, George Vellidis, David Bosch, Joe Sheridan,
PCWA Study Plan Physical Habitat Characterization Study Plan –Geomorphology Study Plan –Riparian Habitat Mapping Study Plan –Aquatic Habitat Characterization.
Citation: Moskal., L. M. and D. M. Styers, Land use/land cover (LULC) from high-resolution near infrared aerial imagery: costs and applications.
Why use landscape models?  Models allow us to generate and test hypotheses on systems Collect data, construct model based on assumptions, observe behavior.
Iowa Rivers Information System Inventory, Modeling, and Evaluation of Basin, In-Stream Habitat, and Fishery Resource Relationships Kevin Kane, Iowa State.
Jeff Horan, Habitat GIT Chair February 16, 2012 CBP Decision Framework in Action.
Environmental Flow Instream Flow “Environmental flow” is the term for the amount of water needed in a watercourse to maintain healthy, natural ecosystems.
STORM WATER SOLUTIONS FOR EXISTING URBAN AREAS: IDENTIFYING SITES TO MAXIMIZE RESULTS Jared Bartley, Cuyahoga SWCD September 8, 2011.
Modeling with WEAP University of Utah Hydroinformatics - Fall 2015.
Computer Aided Simulation Model for Instream Flow and Riparia
Best Management Practices Implemented in Lower Bear River
Conservation Reserve Program Acres in Iowa
Pan-European Assessment of Riparian Zones
Presentation transcript:

Charles Goebel School of Environment & Natural Resources The Ohio State University Prioritizing Restoration Efforts

 Managers must make decisions on complex problems every day  Having a credible scientific basis for decisions is critical  Restoration efforts need to be planned and implemented in cost-effective ways why prioritization is important

 Managers must make decisions on complex problems every day  Having a credible scientific basis for decisions is critical  Restoration efforts need to be planned and implemented in cost-effective ways  Holistic restoration frameworks are needed to help manage site-level restoration activities to account for landscape-context (or landscape-scale processes) why prioritization is important

 Within the restoration framework, a series of quantitative toolsets may be applied to prioritize restoration efforts to help ensure success  These toolsets could also be called “systematic planning” techniques & are typically characterized by: An optimization algorithm Some type of process-based or population-based ecological model(s) quantitative toolsets

Initial Restoration Planning Evaluate Ecological Model STOP End Yes Constraints Develop New Plan No general quantitative toolsets

 Need to define reference conditions as these are critical for evaluating potential success Help determine criteria for evaluating success and prioritizing efforts  Good conceptual understanding of the system and good ecological models important Systems that incorporate landscape hierarchies and functional attributes are useful Really must be spatially explicit  Some flexibility in approach to deal with changing constraints Considerations & needs

Ecological Classification System Current Land Cover % change from reference condition REFERENCE CRITERIA Palik et al Ecological Applications, 10: GOAL: Identify areas at Ichauway that need of restoration developing basic prioritization models

developing more complex prioritization models

restoration priority model for riparian areas of CVNP Our approach… develop a riparian prioritization model for CVNP that includes not only ecological information so as to target those areas in need of restoration, but also has the flexibility to incorporate other important management needs

assessing riparian function Need a way to map functional riparian ecotone Holmes, K.L., and P.C. Goebel A functional approach to riparian area delineation using geospatial methods. Journal of Forestry. 109:

Conceptual basis for delineating riparian areas Ilhardt et al. 2000

functional delineation of riparian areas Functional delineation based upon Verry et al developed for on the ground delineation This approach is based upon stream valley geomorphology rather than the stream channel, making it possible to use digital data sources to delineate riparian areas.

delineating functional extent of riparian areas Type I Type II Procedures: Delineated riparian area on screen using ArcGIS 9.0 by subwatershed using contours and guidelines from Verry et al All subwatersheds merged & 1 tree length (60 ft) added to buffer following Verry et al. (2004)

functional riparian areas of CVNP 53% of CVNP could be delineated as a functional riparian area (18,052 ac or 7,305 ha)

assessing riparian function Once delineated need to determine functional attributes

assessing riparian function

Percent change from benchmark state 0%100% UnalteredAltered All functions assessed in this fashion and ranked from unaltered (0) to altered (-10,000) for each cell represented in the GIS

Table 1. Rankings of Vegetative Cover Function RankNLCD Classes Unaltered 0Deciduous Forest,, Mixed ; Woody Wetlands -1250Shrub/Scrub -2500Emergent Wetlands -3750Grassland/Hay/Pasture -5000Barren -6250Developed-Open Space -7500Cultivated Crops -8750Developed-Low Intensity Developed-Medium and High Intensity; Open Water Altered vegetative cover (stream function)

sediment delivery Table 3. Rankings of Sediment Delivery Riparian Function RankNLCD classes on soil erodibility rating Unaltered 0Natural States Developed-Open Space, Non-Highly Erodible (NHE); Grassland/Hay/Pasture, NHE -1176Developed-Low Intensity, NHE -1764Developed-Medium Intensity, NHE -2352Developed-High Intensity, NHE Developed-Open Space, Potentially Highly Erodible (PHE); Grassland/Hay/Pasture, PHE -3528Developed-Open Space, Highly Erodible (HE); Grassland/Hay/Pasture, HE -4116Barren, NHE -4704Developed-Low Intensity, PHE -5292Developed-Medium Intensity, PHE; Developed-Low Intensity, HE -5880Developed-Medium Intensity, HE -6468Developed-High Intensity, PHE -7056Developed-High Intensity, HE -7644Cultivated Land, NHE -8232Barren, PHE -8820Barren, HE -9408Cultivated Land, PHE Cultivated Land, HE Altered 1 Open water, deciduous forest, evergreen forest, mixed forest, shrub/scrub, woody and emergent herbaceous wetlands on any soil erodibility rating.

riparian function index - criteria High Function (0 to -5,000) To be considered to have high riparian function, at a minimum only one function can be operating at 50% function (50% reduction in function). Moderate Function (-5,001 to -17,500) To be considered to have moderate riparian function, at a minimum all seven functions must be operating at 75% function (25% reduction in function), or, one function could operate at 0% function (100% reduction in function) and another function could operate at 25% function (75% reduction in function). Poor Function (-17,501 to -35,000) To be considered to have poor function, at a minimum three functions could operate at 0% function (100% reduction in function) and another function could operate at 50% function (50% reduction in function). Pixels with two functions operating at 0% function would also fall into this category. Very Poor Function (-35,001 to -70,000) All other cells not fitting into the above categories are considered to have very poor riparian function.

riparian restoration priority In terms of riparian function only, those areas in red are high priorities for restoration – no management filters Most headwater streams are in need of some restoration, especially outside the CVNP boundary, as are portions along the Cuyahoga River

management filter – land ownership layer

Haskell-Ritchie Run Subwatershed

more complex prioritization models Generate Initial Population of Plans Apply ‘repair’ function Obtain first plan in generation Amend SWAT input files per plan instructions; execute SWAT; record plan fitness Get next plan All plans in generation evaluated Generation limit reached? Apply search algorithm operators(selection, crossover & mutation) to create a new generation End Developing optimized wetland restoration plan

more complex prioritization models  Many of these optimized support toolsets that are automated often exhibit a tendency to ignore spatial and temporal variability in ecosystem processes considered ‘noise’ within modeling environment (Cushman 2010)  Clear research need for models that incorporate longitudinal and lateral connectivity (e.g., Turak et al. 2011) one reason I personally like the approach of using ‘on-the- ground’ delineations of functional processes, even if they are surrogates such as an ECS or other approach

how complex is too complex?  The more complex the model, the more expertise, data, and effort will be needed to develop and execute model  What is the goal?

how complex is too complex?  In general, I would argue for a more simple approach to identify “targets” or “hotspots” NO SUBSTITUTE FOR BEING ON THE GROUND AND FAMILIAR WITH YOUR SYSTEM Use of local knowledge in addition to a defensible approach Also need to consider an increased reliance on traditional ecological knowledge (TEK) when considering how to restore and where

Muirburning in Scottish Highlands

Some final considerations  Few current methods evaluate a post-restoration time lags come recent examples of stepwise approaches to model time- lag effects, threats from outside factors, and changing budget conditions complexity leads to increased expertise needed but when compared with static approaches these prioritization models do yield plans with different spatial patterns (Moilanen et al. 2009) each sequential optimization procedure is dependent upon the last, intermittently suboptimal sites are excluded from the search -- this means the stepwise approach presumes that restoring suboptimal sites during earlier time-steps will not reveal subsequent and more optimal restoration possibilities and thus superior restoration plans

Questions

potential native plant habitat Table 2. Rankings of Potential Plant Habitat Function RankNLCD Classes Unaltered 0Deciduous Forest,, Mixed ; Woody Wetlands -1429Shrub/Scrub -2858Emergent Herbaceous Wetlands -4287Barren -5716Open Water -7145Grassland/Hay/Pasture -8574Developed-Open Space Cultivated Crops; Developed-Low Intensity; Developed-Medium and High Intensity Altered

streamflow regulation Streamflow regulated areas (ponds and lakes) classified as -10,000 and unaltered areas classified as 0.

wetland quality Table 5. Three Components of Wetland Quality and Their Individual Weights ComponentWeight Hydrologic Source0.4 Water Quality0.3 Wetland Condition0.3

Example – Sleeping Bear Dunes Palik et al Ecological Applications, 10: Develop map of reference ecosystems Used GLO notes to map historical distribution of forest ecosystems 2. Determined current distribution of forest cover types 2. Used spatial data on current vegetation cover 3. GOAL – PRIORITIZE NPS 1) RESTORATION EFFORTS AND 2) PRESERVATION EFFORTS OF CULTURAL LANDSCAPES

Example – Restore or preserve? GOAL – PRIORITIZE NPS 1) RESTORATION EFFORTS AND 2) PRESERVATION EFFORTS OF CULTURAL LANDSCAPES Goebel et al Journal of Forestry 103:

Example – Restore or preserve? GOAL – PRIORITIZE NPS 1) RESTORATION EFFORTS AND 2) PRESERVATION EFFORTS OF CULTURAL LANDSCAPES REFERENCE GLO Notes

Example – Restore or preserve? GOAL – PRIORITIZE NPS 1) RESTORATION EFFORTS AND 2) PRESERVATION EFFORTS OF CULTURAL LANDSCAPES REFERENCEFUTURE Huron-Manistee ECS

Example – Restore or preserve? GOAL – PRIORITIZE NPS 1) RESTORATION EFFORTS AND 2) PRESERVATION EFFORTS OF CULTURAL LANDSCAPES REFERENCEFUTURECURRENT NPS Data

Example – Restore or preserve? GOAL – PRIORITIZE NPS 1) RESTORATION EFFORTS AND 2) PRESERVATION EFFORTS OF CULTURAL LANDSCAPES REFERENCE Compared the current distribution of target habitat (openlands) with respect to the future development of forest ecosystems under contemporary mgmt & historical distribution. Prioritized restoration and preservation based on decision criteria established to maximize large, continuous blocks of openland area. FUTURECURRENT