Biodiversity metrics – a way forward Ed Rowe. Let’s GROW Goal Reality Options Way forward.

Slides:



Advertisements
Similar presentations
Lesson 8 What are human rights?.
Advertisements

Measuring Species Diversity. Think about whats ahead... Discuss in pairs the title of this section. What do you think it is about? Do you know anything.
Consumer Review Megan Guild Lauren Moore. Reading List: Our Thoughts Positives Negatives Clearly Defines Web hosting and Web Content Management Organized.
24 th CCE workshop& 30 th TF M&M, Rome, 7-10 April Call for Data results Jaap Slootweg & Max Posch.
Selecting a biodiversity metric for the UK response to the CCE Call for Data by comparison with specialist judgement Ed Rowe, Adriana Ford-Thompson, Susan.
SAMPLING Sampling is indispensable, as we cannot study all individuals of a population or all species of a community  Why ?  Objectives come from ecological.
Prospects for Biodiversity
Pre-analysis plans Module 8.3. Recap on statistics If we find a result is significant at the 5% level, what does this mean? – there is a 5% or less probability.
Impacts of habitat fragmentation on plant and insect communities: beyond species richness!
Marine Corridor Planning. The underlying principles for terrestrial and marine biodiversity conservation and corridor planning are often similar. However,
MARKETS IN EDUCATION EFFECTS, IMPACT AND DIVERSITY Alexandre Homem Cristo ECNAIS, Warsaw, November 18th 2011.
Federal Department of the Environment, Transport, Energy and Communications DETEC Federal Office for the Environment FOEN CCE Call for Data , Swiss.
Analysis of frequency counts with Chi square
CS 589 Information Risk Management 6 February 2007.
458 More on Model Building and Selection (Observation and process error; simulation testing and diagnostics) Fish 458, Lecture 15.
Community Diversity dynamics of community species composition.
458 Population Projections (policy analysis) Fish 458; Lecture 21.
1 Psych 5500/6500 The t Test for a Single Group Mean (Part 5): Outliers Fall, 2008.
Chapter 2 – Tools of Positive Analysis
Measurements of Ecological Diversity How to measure Diversity in an ecological system Laila, Vimal, & Rozie.
Experiencing Online Classes as Student vs. Instructor: A Case Study Linda Alexander.
Plant Ecology - Chapter 13
Species Richness, Simpson’s, and Shannon-Weaver…oh my…
Why should you go to study abroad ?
Biodiversity: Habitat Quality and Rarity Brad Eichelberger.
MA-250 Probability and Statistics Nazar Khan PUCIT Lecture 5.
Modelling biodiversity indicators using the CCE background database CCE workshop Rome 2014 Gert Jan Reinds, Luc Bonten, Janet Mol, Wieger Wamelink, Max.
Species Abundance and Diversity
Valuation of damage to ecosystems due to air pollution Preliminary findings ECLAIRE-project Rome, 7-10 April 2014 Rob Maas, TFIAM.
Modelling N driven biodiversity changes in Austrian forest and grassland habitats Thomas Dirnböck & Ika Djukic 1.
Measuring Diversity.
A Statistical Analysis of Seedlings Planted in the Encampment Forest Association By: Tony Nixon.
Big Ideas & Better Questions, Part II Marian Small May, ©Marian Small, 2009.
Stat 13, Thur 5/24/ Scatterplot. 2. Correlation, r. 3. Residuals 4. Def. of least squares regression line. 5. Example. 6. Extrapolation. 7. Interpreting.
Challenges in using indicators to quantify ecosystems services for a CBA in the framework of ECLAIRE Wilfried Winiwarter.
Reader’s Notebook Everything you need to know in order to set up your Reader’s Notebook.
Conservation of Habitats Starter task: List as many endangered species as you can…
Social Studies 10/11 Which human rights would be on your shopping list?
Viability reduce, reuse, recycle… Conservation Coaches Network Coach Training.
Creative Job Search How to Get the Job You Really Want X420 Discussion Session # 19.
Criterion 1: Conservation of Biological Diversity Indicator Refinement: What is the state of Indicator Science? 1. Overview of the Criterion 2. Review.
Rarity To determine what species or community is in dire need of conservation, we need to understand what rarity is. Deborah Rabinowitz (1981, 1986) described.
Viability Reduce, Reuse, Recycle Conservation Coaches Network Coach Training.
Enrique Martínez-Meyer
Unit 1: Interactions Within Ecosystems
Arjen van Hinsberg, Janet Mol Dynamic modelling of impacts in Natura 2000 habitats the Dutch response to the call for data.
Biodiversity. Average Size Measure all trees in a transect or quadrat. Produce a size-frequency histogram to show the size distribution. Can also calculate.
Q UANTITATIVE AND Q UALITATIVE D ATA. Q UANTITATIVE OR Q UALITATIVE ? John’s reaction time with 10 hours’ sleep averaged0.21 seconds; with 6 hours’ sleep.
Relative-Abundance Patterns
JOBTALKS Your Creative Job Search Indiana University Kelley School of Business C. Randall Powell, Ph.D Contents used in this presentation are adapted from.
Scatter Plots. Scatter plots are used when data from an experiment or test have a wide range of values. You do not connect the points in a scatter plot,
Chapter 9 Regression Wisdom. Getting the “Bends” Linear regression only works for data with a linear association. Curved relationships may not be evident.
Modality refers to a broad range of grammatical resources used to temper or modulate positions so that the audience is given some ‘room to move’ (Humphrey.
Ecology --- primary definition The scientific study of how organisms interact with the natural world.
ECLAIRE: Effects of climate change on air pollution impacts and response strategies for European ecosystems.
Preliminary ECLAIRE findings Budapest, 2 October 2014 Rob Maas, RIVM.
EXCHANGE RATES UNIT 26. DISCUSSION  You probably have at least one banknote in your pocket, wallet or purse. How much is it worth in other currencies?
Module 4 – Biodiversity By Ms Cullen. Terminology Try and define the following terms used when studying the environment.
FCE Speaking Test – Part 3
Global Challenges – Biodiversity Felix Eigenbrod, Biological Sciences
Probability & Statistics Displays of Quantitative Data
Biodiversity Variety of life
Biodiversity Variety of life
Lecture 11: island biogeography hypothesis May 8, 2017
Measuring Biodiversity
No effect of Nitrogen? Something wrong? Not exceeded sites?
Biodiversity.
ML – Lecture 3B Deep NN.
Uncertainty between simulations
Chapter 4 Summary.
Presentation transcript:

Biodiversity metrics – a way forward Ed Rowe

Let’s GROW Goal Reality Options Way forward

Principles “Biodiversity” means different things to different people We need an operational definition...on a single axis Wilfried Winiwarter: “only one dimension (endpoint) possible”

Goal: one metric (per habitat) Index reflecting no net loss of biodiversity N deposition EUNIS class Lv 3? (G1.6)

Reality Biodiversity is not easy to define We have been discussing this topic for many years The Call for Data gave us the opportunity to escape

Reality slope Ndep (eq ha -1 yr -1 ) average of range studied R 2 = Predicted by regression Slope of Biodiversity Metric vs. N deposition plot Jaap Slootweg Summary of NFC responses to CCE Call for Data

Are we using the right metrics? Dani Kurz, Beat Achermann (Preliminary results, will be updated!)

Must N deposition damage biodiversity? For the N pollution impacts research community – yes, obviously  we could just use deposition rate as an impact metric...but, biodiversity specialists and the public don’t think of biodiversity in terms of nitrogen – sorry. Although, nutrient-poor, less-productive habitats are usually thought of as having greater nature conservation value

“Why don’t we just...”...use species-richness? valued habitats are sometimes relatively species-poor...use an index of even-ness, e.g. Shannon or Simpson? valued habitats are sometimes dominated by one species...use scarce / protected species scarce species are often not present

Limitations of current models Niches for scarce species are usually less well-defined  we can’t predict values for metrics based on scarce species. We can predict species-richness, at least statistically... although mechanisms are not yet well-understood We can predict habitat-suitability (MOVE, PROPS, MultiMOVE)... but we can’t yet predict probability of occurrence – this would need dynamic modelling of extinction / seedbank persistence / dispersal  we should be a bit careful with language Predicting abundance (e.g. cover) is really hard  we can’t reliably predict values for metrics based on: functional-group abundance (cover of Sphagnum, ericoids etc.) relative abundance of species (e.g. Simpson, Shannon) Although, these could be foci for model development

Options Need to be discussed

Way forward Accept that there is no “objective”, “scientific”, “value-free” definition of biodiversity Find the people who should define biodiversity for your country Maybe call it “habitat quality” rather than “biodiversity” Allow them to discuss the topic freely Remind them that we need a one-dimensional metric Remind them that we need an answer within this century Maybe ask them to rank a set of real examples of the habitat Agreeing on a metric – things that might help

12 examples of “dry grasslands” Species-richness Ranking according to metric Ranking according to specialists CSM positivesCSM negatives CSM +ves minus -ves Forb / Total cover Similarity to reference (mean)Similarity to reference (max) Mean Ellenberg N Rowe et al DivMet/AQ0828 report E1 Dry grasslands

Way forward If you really can’t get your biodiversity experts to engage... maybe you will have to decide. UK and NL seem to be settling on “positive indicator-species”, a small set of typical/distinctive species for each EUNIS class Conveniently, values for metrics based on these usually decrease with more deposition Other metrics are available

Thankyou