CRITERION B: RESTRICTED GEOGRAPHIC DISTRIBUTION THEORY AND EXAMPLES

Slides:



Advertisements
Similar presentations
Proposed Indicators for Ecological Health & Diversity of Rangelands Rod Heitschmidt, USDA Agricultural Research Service, Miles City, MT and Linda Joyce,
Advertisements

The IUCN Red List of Threatened Species IUCN Red List Categories.
The IUCN Red List of Threatened Species™ Red List Criteria: Criteria C, D and E.
The IUCN Red List of Threatened Species™ Red List Criteria: Criterion B.
We are working on a contract with National Grid to undertake a first year of survey for wild blue lupines and Karner blue butterflies/Frosted Elfins under.
Landscape Level Conservation Planning for prioritizing conservation action in Mozambique Bruno Nhancale, PhD Conservation Science workshop, 21 st April.
The IUCN Red List of Threatened Species™ Mapping standards for IUCN Red List assessments Vineet Katariya.
458 Estimating Extinction Risk (the IUCN criteria) Fish 458; Lecture 24.
Habitat Reserves 1.What are they? 2.Why do we need them? 3.How do we design them?
Intro to Statistics for the Behavioral Sciences PSYC 1900
Future Research NeedsWorld Heritage and Climate Change World Heritage and Climate Change - Future Research Needs Bastian Bomhard World Heritage Officer.
KAREN E10-1 Endangered Species. Summary An endangered species is a population of organisms which is facing a high risk of becoming extinct because it.
IUCN (International Union for Conservation of Nature) Introduction to the IUCN Red Listing Process.
Provisions of the Spotted Owl CHU Rule: How Are We Interpreting What It Says? And How Does it Integrate with the NWFP? Bruce Hollen (BLM) and Brendan White.
Factors of Extinction Why are some species more or less prone to extinction?
The IUCN Red List of Threatened Species™ Using the IUCN Red List Criteria at Regional Levels.
Measuring Habitat and Biodiversity Outcomes Sara Vickerman and Frank Casey September 26, 2013 Defenders of Wildlife.
STRATIFICATION PLOT PLACEMENT CONTROLS Strategy for Monitoring Post-fire Rehabilitation Treatments Troy Wirth and David Pyke USGS – Biological Resources.
Note the increasing fragmentation of the natural habitat as a result of settlement. Such fragmentation can adversely affect the success of wildlife populations.
The World Conservation Union (IUCN) Red List Criteria are used to determine extinction risk and set numerical thresholds for qualification for three globally.
Accuracy Assessment Having produced a map with classification is only 50% of the work, we need to quantify how good the map is. This step is called the.
Potomac Flow-by Stated Management Objectives (1) estimate the amount and quality of biotic habitat available at different flow levels, particularly as.
Red List Assessment of CWRs in Spain. Implications for genetic reserve conservation. José M. Iriondo and Lori J. De Hond Universidad Politécnica de Madrid.
Assessing Linkages between Nearshore Habitat and Estuarine Fish Communities in the Chesapeake Bay Donna Marie Bilkovic*, Carl H. Hershner, Kirk J. Havens,
Applications of Spatial Statistics in Ecology Introduction.
Extent and Mask Extent of original data Extent of analysis area Mask – areas of interest Remember all rasters are rectangles.
Landscape Ecology: Conclusions and Future Directions.
Introduction – Landscape Ecology
What Does it Mean When >80 Equals Spotted Owl Habitat?
IUCN Red List Categories and Criteria Examples. THE IUCN CATEGORIES  A. Declining Population  B. Small Distribution and Decline or Fluctuation  C.
Population dynamics across multiple sites Multiple populations How many populations are needed to ensure a high probability of survival for a species?
Defining Landscapes Forman and Godron (1986): A
Causes of Extinction. Non-human causes of extinction: Volcanic events Ocean temperature change Sea level changes Meteorites Glaciations Global climate.
Identifying Species Targets at the Landscape/ Seascape Scale.
1.Define a landscape. What is the focus of Landscape Ecology. Notes 2. Discuss the role of spatial and temporal scale in affecting landscape composition,
Introduction to Models Lecture 8 February 22, 2005.
IUCN (International Union for Conservation of Nature) Definitions of terms used in the IUCN Categories & Criteria Location.
Disturbance Thresholds for Oregon Evidence from the scientific community.
Phil Hurvitz Avian Conservation Lab Meeting 8. March. 2002
Why use landscape models?  Models allow us to generate and test hypotheses on systems Collect data, construct model based on assumptions, observe behavior.
Map of remaining significant woodlands in Southern Ontario. Used to be all woodlands before settlers arrived.
Prioritization. 128 KBAs were divided into four (4) priority levels/tiers Data used: (no population data available for most species)  extent of occurrence/area.
Emergence of Landscape Ecology Equilibrium View Constant species composition Disturbance & succession = subordinate factors Ecosystems self-contained Internal.
IUCN (International Union for Conservation of Nature) risk of extinction The IUCN Red List assessment estimates risk of extinction What is the likelihood.
How do we work… Samuli Korpinen, Finnish Environment Institute, Marine Research Centre HELCOM BalticBOOST WS on Physical loss and damage to the seafloor.
Helsinki, Finland, November 2016
Land Cover Mapping and Habitat Analysis
Communities and the Landscape Lecture 15 April 7, 2005
Quantifying Scale and Pattern Lecture 7 February 15, 2005
23rd London Group Meeting San Jose Costa Rica, th October 2017
Review of ecosystem condition indicators
Land Cover Mapping and Habitat Analysis
Key terms and concepts in the IUCN criteria
Impact assessment & Management of the Northern Quoll in the Pilbara
FW364 Ecological Problem Solving Class 18: Spatial Structure
IUCN Red List of Ecosystems Training @redlisteco
CASE STUDIES – RED LIST OF ECOSYSTEMS
AN INTRODUCTION TO THE IUCN RED LIST OF ECOSYSTEMS
CRITERION E: QUANTITATIVE RISK ANALYSIS
TOOLS TO ASSIST RLE ASSESSORS
Conservation Targets the building blocks
Volume 24, Issue 9, Pages (May 2014)
Landscape Ecology in the Marine Environment
International Conservation Efforts
Chapter 4, Regression Diagnostics Detection of Model Violation
Pilbara leaf-nosed bat
Conservation Targets the building blocks
Evolution, Biodiversity, and Population Ecology
European Red List of Habitats
Comparing the Degree of Urbanization to the US Census Bureau’s Urbanized Areas, Urban Clusters, and Rural Areas Michael Ratcliffe, Michael Commons, and.
Presentation transcript:

CRITERION B: RESTRICTED GEOGRAPHIC DISTRIBUTION THEORY AND EXAMPLES IUCN Red List of Ecosystems Training www.iucnrle.org @redlisteco IUCN Red List of Ecosystems

Model of Ecosystem Risk Assessment Spatial Symptoms Threatening processes Risk of loss of characteristic native biota Ecosystem distribution Ecosystem function D Altered biotic B Small distribution A Declining C Degradation of abiotic environment E Quantitative risk analysis

Criterion B: Restricted distribution Identifies ecosystems whose distribution is so restricted that they are at risk of collapse from the chance occurrence of a single or few interacting threatening events

Criterion B: Restricted distribution Estimating spatial extent Risk spreading against spatially explicit threats In widely distributed ecosystems, risk from spatially explicit threats is spread across multiple independent patches NOT true if distribution is restricted

Risk spreading Magnitude of ‘insurance effect’ depends on the extent and configuration of ecosystem relative to the spatial extent of threatening processes

Criterion B: Restricted distribution Assumptions Spatial extent is informative about future risks Ecosystems with restricted distributions have: Less capacity to spread risks posed by spatially explicit threats (insurance effects, contagion-percolation theory) Less capacity for rescue processes, e.g. dispersal & recolonization (metapopulation theory) Distribution size is context-dependent on spatial features of threats

Criterion B: Restricted distribution Two standard spatial risk-spreading metrics: Polygons (EOO) Grids (AOO) Measures the spatial spread of risk, NOT an estimate of mapped area Use of non-standard measures invalidates comparison against criteria thresholds

Criterion B: Metrics Extent of occurrence (EOO) Minimum convex polygon enclosing all extant occurrences

Criterion B: Metrics Extent of occurrence (EOO) Minimum convex polygon enclosing all extant occurrences Area of occupancy (AOO) Number of occupied 10 x 10 km grid cells Can exclude small fragments (1% occupancy rule) Scale-sensitive Standardised method of (spatial) estimation Broad/fine ecosystem units

Coarser scale ~ larger area estimate Criterion B: Metrics Area estimates depend on map scale (cf. grid cell size) Standard methods of area measurement needed to ensure consistency: 10 x 10 grid cells Coarse scale 544 km2 Fine scale 348 km2 Medium scale 416 km2 Coarser scale ~ larger area estimate

Criterion B: Metrics Extent of occurrence (EOO) Minimum convex polygon c.5,000 km2 10km cells occupied (46) occupied >1% (12) Endangered: B1 & B2 Extent of occurrence (EOO) Minimum convex polygon enclosing all extant occurrences Area of occupancy (AOO) Number of occupied 10 x 10 km grid cells Can exclude small fragments (1% occupancy rule) Scale-sensitive Standardised method of (spatial) estimation Broad/fine ecosystem units

Criterion B: Metrics Threat-defined location Extent of occurrence (EOO) Minimum convex polygon enclosing all extant occurrences Area of occupancy (AOO) Number of occupied 10 x 10 km grid cells Can exclude small fragments (1% occupancy rule) Scale-sensitive Standardised method of (spatial) estimation Broad/fine ecosystem units Threat-defined location Geographically or ecologically distinct area in which a single threatening process can rapidly affect occurrences of an ecosystem

Criterion B: Metrics Threat-defined location Geographically or ecologically distinct area in which a single threatening process can rapidly affect occurrences of an ecosystem Portion of the distribution simultaneously affected by one threatening process. Relative to the spatial extent of the most serious plausible threat. Size depends on area covered by the threatening process NOT # of sites. IS # of spatially independent events that could threaten the ecosystem type 26 patches 4 locations 26 fragments 4 locations

Criterion B: Restricted distribution B. Restricted geographic distribution indicated by ANY OF B1, B2 or B3: Subcriterion Measure of geographic distribution CR EN VU B1 Extent of a minimum convex polygon (km2) enclosing all occurrences (extent of occurrence, EOO) is: ≤ 2,000 ≤ 20,000 ≤ 50,000   AND at least one of the following (a-c): (a) An observed or inferred continuing decline in ANY OF: i. a measure of spatial extent appropriate to the ecosystem; OR ii. a measure of environmental quality appropriate to the characteristic biota of the ecosystem; OR iii. a measure of disruption to biotic interactions appropriate to the characteristic biota of the ecosystem. (b) Observed or inferred threatening processes that are likely to cause continuing declines in geographic distribution, environmental quality or biotic interactions within the next 20 years. (c) Ecosystem exists at: 1 threat-defined location ≤ 5 threat-defined locations ≤ 10 threat-defined locations B2 The number of 10×10 km grid cells occupied (area of occupancy, AOO) are: ≤ 2 ≤ 20 ≤ 50 AND at least one of a-c above (same as for B1). B3 A very small number of threat-defined locations (generally fewer than 5) AND prone to the effects of human activities or stochastic events within a very short time period in an uncertain future, and thus capable of Collapse or becoming Critically Endangered (CR) within a very short time period (B3 can only lead to a listing as Vulnerable, VU).

Threatening process causing continuing decline w/in next 20 years Criterion B: Restricted distribution B1 and/or B2 Continuing decline Threatening process causing continuing decline w/in next 20 years Number of locations B3 # locations AND capable of becoming CR or CO very quickly If there are no plausible threats, do not consider locations at all

Criterion B: Restricted distribution Criterion B can only be met if EOO/AOO thresholds are met AND subcritera are met. Subcriteria distinguish ecosystems that are restricted & stable from those that are restricted & declining. Subcriteria only require qualitative evidence (no thresholds, except for # of locations) Includes fragmentation, landscape condition models, and other summary variables

Criterion B: Examples Type of Mesophytic deciduous broad-leaved and mixed coniferous-broad-leaved forests

Criterion B: Examples Area = 260 km²

Criterion B: Examples EOO = 589 km² Area = 260 km² Extent of Occurrence (EOO): ability to spread risk over contiguous areas EOO = 589 km² Area = 260 km²

Criterion B: Examples EOO = 589 km² = CR B1? Must first check to see if at least one of the subcriteria are met – must meet both EOO AND subcriteria EOO = 589 km² = CR B1?

AOO = 9 Criterion B: Examples 9 of 11 grid cells ≥1 km² occupied Area of Occupancy (AOO): Ability to spread risks among occupied patches 9 of 11 grid cells ≥1 km² occupied AOO = 9 <1 km² <1 km²

Criterion B: Examples AOO = 9 = EN B2? Must meet both AOO AND subcriteria AOO = 9 = EN B2?

Criterion B: Examples Type of Mesophytic deciduous broad-leaved and mixed coniferous-broad-leaved forests

Criterion B: Examples

Criterion B: Examples Extent of Occurrence: ability to spread risks over contiguous areas EOO = 53,310 km²

Criterion B: Examples Extent of Occurrence: ability to spread risks over contiguous areas EOO = 53,310 km² = B1 (subcriteria)

Criterion B: Examples Area of Occupancy: 84 of 91 grid cells >1% occupied AOO = 84 grid cells = B2

Criterion B: Examples EOO = 53,310 km² = B1 AOO = 84 grid cells = B2

Contact If you want to contact us, write us to: redlistofecosystems@gmail.com Join our forum of evaluators in: iucn-red-list-of-ecosystems@googlegroups.com Follow us on: IUCN Red List of Ecosystems @redlisteco @redlist_of_ecosystems

Thank you to our donors, supporters & partners