San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that...

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funding provided by: California State Coastal Conservancy Gordon and Betty Moore Foundation California Resources Agency California Coastal and Marine Initiative of the Resources Legacy Fund Foundation Richard and Rhoda Goldman Fund David and Lucile Packard Foundation US Fish and Wildlife Service Coastal Program at San Francisco Bay Technical assistance provided by: National Park Service Rivers, Trails and Conservation Assistance Program San Francisco Bay Area Upland Habitat Goals Project Preserving Biological Diversity for Future Generations Preserving Biological Diversity for Future Generations A Project of the Bay Area Open Space Council

Transcript of San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that...

Page 1: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

Upland Goals

Project

funding provided by:California State Coastal Conservancy Gordon and Betty Moore Foundation

California Resources Agency California Coastal and Marine Initiative of the

Resources Legacy Fund FoundationRichard and Rhoda Goldman Fund

David and Lucile Packard FoundationUS Fish and Wildlife Service Coastal Program at San Francisco Bay

Technical assistance provided by:National Park Service Rivers, Trails and

Conservation Assistance Program

San Francisco Bay Area Upland Habitat Goals Project

Preserving Biological Diversity for Future GenerationsPreserving Biological Diversity for Future Generations

A Project of the Bay Area Open Space Council

Page 2: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

Upland Goals

ProjectWhat am I going to talk about? What am I going to talk about? –– Road MapRoad Map

San Francisco Bay Region

What is Upland Habitat Goals?

Why a Regional Plan?

Methodology

Access to Datasets/GIS

Climate Change

Page 3: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

Upland Goals

ProjectSan Francisco Bay Region San Francisco Bay Region –– Land StatsLand Stats

Acreage Statistics:

California = 101.4 Million Acres

SF Bay Area = 4.5 Million Acres

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LANDSCAPE

Protected = ~ 1.15 Million Acres!!

Urban = ~ 775,000 Acres

Not Protected = 2.5 Million Acres

Page 4: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

Upland Goals

ProjectWhat is the Upland Habitat Goals Project?What is the Upland Habitat Goals Project?

Regional Biodiversity Conservation Plan

How many acres of what types of habitats and in what configuration to preserve biodiversity in 9-county Bay Area?

Identify a NETWORK of conservation lands.

no list of prioritized properties

voluntary implementation

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ProjectFinal ProductsFinal Products

Report with maps

Framework to allow incorporation of new data and update goals

Access to methods and tools for finer-scale planning

GIS database available online

Online interactive tool

www.openspacecouncil.org

Page 6: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

Upland Goals

ProjectWhat am I going to talk about? What am I going to talk about? –– Road MapRoad Map

San Francisco Bay Region

What is Upland Habitat Goals?

Why a Regional Plan?

Methodology

Access to Datasets/GIS

Climate Change

Page 7: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

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ProjectWhy the Upland Habitat Goals Project?Why the Upland Habitat Goals Project?

Successful implementation of the Baylands Ecosystem Goals completed in 1999

Development pressure threatening biodiversity

Bay Area needs a science-based vision that recommends protection & management strategies to preserve biodiversity

Lech Naumovich, CNPS

400,000 acres in next 30 years!!

Page 8: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

Upland Goals

ProjectWhat am I going to talk about? What am I going to talk about? –– Road MapRoad Map

Introduction

San Francisco Bay Region

What is Upland Habitat Goals?

Why a Regional Plan?

Methodology

Access to Datasets/GIS

Applying the Goals

Page 9: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

Upland Goals

ProjectThe Goal Setting ProcessThe Goal Setting Process

Steering Committee Establishes guiding principles

Drafts target species selection criteriaDevelops methodology for setting habitat goals

Establishes 5 Focus Teams to set goals for species group

Vegetation BirdsAmphibians, Reptiles &

InvertebratesRiparian/FishMammals

Final Report with habitat recommendations, management practices, implementation

strategies, evaluation criteria

Peer Review

Peer Review

Coarse Filter Fine Filter

Page 10: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

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Purpose: represent the diversity of vegetation cover

60 cover types, 51 natural/semi-natural

30 m grid

Compromise between high resolution classification and even coverage across Bay Area

Expert opinion from Vegetation Focus Team

Update – FMMP Ag and Urban

Coarse Filter Analysis Coarse Filter Analysis -- Vegetation MapVegetation Map

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29 Landscape Units (4 Urban Areas)

Based on physiographic features – valleys and mountains

Capture diversity and biogeography of vegetation across study area

Provide a means to break down recommendations into geographically coherent units.

Coarse Filter Analysis Coarse Filter Analysis -- Landscape UnitsLandscape Units

Page 12: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

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500+ Vegetation Types in 29 Landscape Units

Conservation Targets

Coarse Filter Analysis Coarse Filter Analysis –– Conservation TargetsConservation Targets

Blue Oak Woodland

Page 13: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

Upland Goals

ProjectCoarse Filter Coarse Filter -- Rarity RankingsRarity Rankings

Rarity Ranking exercise with Vegetation Focus Team

• Rank 1 – Globally Rare, Locally “Highly” Significant• Rank 2 – Locally Rare (<5% of LU)• Rank 3 – Common or “matrix” (>5% of LU)• Rank 4 – Urban, Intensive Ag, Non-native (golf courses, etc.)

Conservation goals

• Rank 1=90% of remaining vegetation type • Rank 2=75% • Rank 3=50%

500+ Conservation Targets

• Rank 1, 2 & 3 vegetation types in all Landscape Units

Page 14: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

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Conservation Targets Vegetation Types x Landscape Units

Protection Goals –Rank 1,2,3 (90%,75%,50%)

Coarse Filter Process Coarse Filter Process -- OverviewOverview

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Closer Look at Sonoma Area.

Here are our mapped ranks 1-3

We want 90% of Rank 1, 75% of Rank 2, and 50% of Rank 3

How to choose best configuration??

Coarse Filter Analysis Coarse Filter Analysis –– Sonoma Area Sonoma Area

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Site Selection Model that meets set goals - MARXAN

Achieves an efficient Conservation Lands Network based on inputs:

1. Conservation Targets – Vegetation and Fine Filter2. Conservation Goals – Rank 1,2,3 (90%,75%,50%)3. Suitability of Landscape for Conservation –

fragmentation4. Existing Protected Areas5. Planning Units – 100 Hectare Hexagons ~250 acres

Starting Point for discussion

Designing Conservation Lands NetworkDesigning Conservation Lands Network

Page 17: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

Upland Goals

ProjectThe Goal Setting ProcessThe Goal Setting Process

Steering Committee Establishes guiding principles

Drafts target species selection criteriaDevelops methodology for setting habitat goals

Establishes 5 Focus Teams to set goals for species group

Vegetation BirdsAmphibians, Reptiles &

InvertebratesRiparian/FishMammals

Final Report with habitat recommendations, management practices, implementation

strategies, evaluation criteria

Peer Review

Peer Review

Coarse Filter Fine Filter

Page 18: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

Upland Goals

ProjectFine Filter Conservation TargetsFine Filter Conservation Targets

Enhance the Coarse Filter (Vegetation Communities) with Fine Filter Targets:

Additional Plant Targets – Old Growth Redwoods, T&E Species in CNDDB

Mammals – American Badger, Porcupine, T&E Species in CNDDB

Birds – Spotted Owl, Breeding Bird Areas, CNDDB

Fish and Riparian Areas – Steelhead and Coho

Amphibian/Reptiles/Invertebrates – Western Pond Turtle

Other – Vernal Pools

Page 19: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

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Old Growth Redwood areas missing in biodiversity recommendations in Sonoma and San Mateo counties.

Before After

Fine Filter Conservation TargetsFine Filter Conservation Targets

Page 20: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

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ProjectDesigning Conservation Lands NetworkDesigning Conservation Lands Network

Draft Results of Coarse Filter Analysis (some fine filter targets)

Further adjust to incorporate fine filter targets

Connectivity Analysis

Future Climate Scenarios?

Page 21: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

Upland Goals

ProjectWhat am I going to talk about? What am I going to talk about? –– Road MapRoad Map

San Francisco Bay Region

What is Upland Habitat Goals?

Why a Regional Plan?

Methodology

Access to Datasets/GIS

Climate Change

Page 22: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

Upland Goals

ProjectGIS Data and AccessibilityGIS Data and Accessibility

Not just GIS datasets

Preassembled project

Data organized into groups

Preset symbology

Cartographic set up

Clean attributes

Associated Handbook

Incredible Resource for Bay Area Land Conservation Managers, Researchers and Planners. Free!!

GIS Database – Available Now!!www.openspacecouncil.org

Page 23: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

Upland Goals

ProjectApplying the Goals Applying the Goals –– Key DatasetsKey Datasets

Vegetation

Protected Lands

Suitability

Rarity

UG Biodiversity –Conservation Lands Network

Page 24: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

Upland Goals

ProjectWhat am I going to talk about? What am I going to talk about? –– Road MapRoad Map

San Francisco Bay Region

What is Upland Habitat Goals?

Why a Regional Plan?

Methodology

Access to Datasets/GIS

Climate Change

Page 25: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

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ProjectClimate ChangeClimate Change

Coarse Filter builds in a buffer against climate change - setting high goals for each rarity ranked veg type in each landscape unit

Captures a broad range of mesoclimatic gradients that contributes to species richness

Linkages between large protected areas will provide room to move as temps change

We plan to evaluate the mesoclimatic coverage by overlaying the Marxan-derived Conservation Lands Network with PRISM grids of temperature and precipitation.

January Minimum Temp

July Max Temp

Annual PrecipitationAckerly, 2009

Page 26: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

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Climate Climate –– Mesoclimate X Landscape UnitMesoclimate X Landscape Unit

Evaluate the spatial range of any climate variable within any landscape unit

Page 27: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

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8-10°C inversion measured with Thermochrons

Extrapolate across the landscape using topography

Lay underneath PRISM

“Reality” at scale of population processes (10-30 m)

Climate – Topoclimate + Mesoclimate

Take Home Message -Local resiliency is quite high once spatial variability factored, can take a fairly big hit at macro climate level!

Evaluate variability within park parcel, any polygon, at scale at which populations are working (10-30m)

Page 28: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

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Current Status –

Coarse Filter Analysis complete

All Focus teams have met

Finalizing data from Focus Teams, rerunning Marxan

Slow down due to funding issues.

Consider the Upland Goals Project as a source of data, collaboration and integration of your research to applied conservation planning.

Planning to build an online interactive tool to assess biodiversity values of particular areas. Add climate change scenarios down the road?

Looking forward to connecting with you all on additional research.

Climate ChangeClimate Change

Page 29: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

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ProjectUpland Habitat Goals Project TeamUpland Habitat Goals Project Team

Nancy Schaefer, Project Manager Bay Area Open Space Council Consultant

Melanie Denninger, Project Leader Coastal Conservancy

Stuart Weiss, PhD, Science Advisor Bay Area Open Space Council Consultant

Ryan Branciforte, Director of Conservation PlanningBay Area Open Space Council

Lech Naumovich, CNPS

Photos: Thanks to Jereme Monteau, Stu Weiss and Lech Naumovich

Thanks again to the Gordon and Betty Moore Foundation!

Page 30: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

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ProjectUpland Habitat GoalsUpland Habitat Goals

GIS Database – Available Now!! www.openspacecouncil.org

Contact Info:

Nancy Schaefer, Project Manager - Bay Area Open Space Council [email protected]

Ryan Branciforte, Director of Conservation Planning - Bay Area Open Space [email protected]

Page 31: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

Upland Goals

Project

Page 32: San Francisco Bay Area Upland Habitat Goals Project...Upland Goals Project Site Selection Model that meets set goals - MARXAN Achieves an efficient Conservation Lands Network based

Upland Goals

ProjectThe Goal Setting ProcessThe Goal Setting Process

Steering Committee Establishes guiding principles

Drafts target species selection criteriaDevelops methodology for setting habitat goals

Establishes 5 Focus Teams to set goals for species group

Vegetation BirdsAmphibians, Reptiles &

InvertebratesRiparian/FishMammals

Final Report with habitat recommendations, management practices, implementation

strategies, evaluation criteria

Peer Review

Peer Review