Measuring Biodiversity Flashcards

1
Q

Order of global biodiversity change and the Global biodiversity framework

A

conservation action –> observation & monitoring –> detection and attribution –> science to policy

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2
Q

what is biodiversity ?

A

number of entities (genotypes, species, or ecosystems), their relative abundance, and the difference in their traits and interactions

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3
Q

Quantifying biodiversity change

A

detection, prediction, and causal explanation of biodiversity and ecosystem change is central to biodiversity science and policy

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4
Q

how can we detect biodiversity change?

A

by satellites, drones, field work (ecology)

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5
Q

importance of prediction and forecasting

A

past and guess of the future –> accurate models and cohesive data

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6
Q

why does quantifying biodiversity change matter?

A

public communication, litigation in a contested contexts, restoration, and conservation of biodiversity, and improvement in our fundamental understanding of biodiversity change

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7
Q

examples of public communication of biodiversity changes

A

IPCC
litigation (development projects in the west)
restoration and conservation of biodiversity

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8
Q

trends in abundance : Hallmann et al (2017)
*flagship example to be careful in the way we study biodiversity + share information

A

‘more than 75% decline over 27 years in total flying insect biomass in protected areas’
local trend extrapolated globally
rural landscape, systematic decline as national average
one variable in biomass and not biodiversity, trends measured with poor controls

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9
Q

essential biodiversity variables

A

minimums set of measurements, complementary to one another, that can capture major dimensions of biodiversity change

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10
Q

characteristics of EBVs

A

biological and policy relevant
sensitive to change
biological state variables
generalize across realms
scalable
feasible

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11
Q

example of EBVs

A

genetic composition
species populations
species traits
community composition
ecosystem structure
ecosystem functions

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12
Q

quantifying biodiversity change at fine scales

A

calculate species change at smaller scale ( ~1km) or local scale and project globally = ‘pixel by pixel’ map showcasing richness and abundance

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13
Q

set back of meta-analyses

A

no global biodiversity system
‘Stone Age’ of developing tech and roll-out new systems to eliminate bias in data collection

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14
Q

why does small scale change matter?

A

scale-up
easier to motivate conservation action if there is local action
human action can affect transformed landscapes

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15
Q

what is Canada missing to monitor change?

A

lack long-term, standardized, spatially complete, and readily accessible monitoring information… this significantly hinders our capacity to assess the status and health of Canada’s ecosystems

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16
Q

why do species change in a particular location?

A

move ( distribution shift = range shift)
colonization / invasion
extinction
adaptation (change in phenotype/ ecotype)
episodic rarity ( change in non consistent manner)

17
Q

measuring biodiversity requires …

A

all factors to be considered at once, and focus on. the net outcome of all these differences

18
Q

major drivers of change in canada

A

rates of climate change, human ecological footprint (affect lakes and forests) e.g. 500 species at risk in the south of Canada and how drivers are changing the species in this area

19
Q

why is a standardized monitoring system missing from Canada ?

A

built on its natural ecosystem ( only observe marketable diversity)
look for things where we live, look, biodiversity studies also map roads
heavily biased data collection, constrained by accessibility
data collection but not in protected areas

20
Q

There are two facets of detection and attribution for biodiversity

A

1- detection of anthropogenic signal (s) in spatial and temporal biodiversity dynamics of the focal ecological system, and attribution of the cause to one or more drivers
2- attribution of biodiversity change impacts on ecosystem functions and services (NCPs)

21
Q

while detecting biodiversity change it is important to set the backdrop…

A

temporal variability in biodiversity must be considered to understand what affect human activities are having

22
Q

trends in biodiversity change graphically

A

stationary ( biased understanding of change)
non stationary
- step change ( sudden loss or gain)
- shift in variance (mean squared variation, frequent measurements) = unstable / new extremes

23
Q

detection of change def’n

A

the process of demonstrating that biodiversity or a process affected by biodiversity has changed in some defined statistical sense without providing a reason for that change

24
Q

attribution def’n

A

the process of evaluating the relative contributions of multiple causal factors to a change (trend) or event with an assignments of statistical confidence

How much is each thing affecting it

25
Q

questions to ask while detecting biodiversity change

A

how did it vary in the past prior to impact? measures of uncertainty, confidence interval, strength of effect to uncertainty of the impact

26
Q

detection and attribution: the inference claim OBSERVATION

A

-presence-absence of individuals across sites through time
-choice of sites, duration, frequency, effort and method used to survey individuals
-drivers across sites informs attribution step

27
Q

detection and attribution: the inference claim ESTIMATION

A
  • observations–> measures characterizing the state of biodiversity (e.g species richness)
    -accounts for gaps and uncertainty in the observation step
    -models to estimate metrics from incomplete surveys, accounting for sample size, biases, uncertainty and comparable across sites
28
Q

detection and attribution: the inference claim DETECTION

A
  • ## models to isolate the signal of change in the measure of biodiversity
29
Q

detection and attribution: the inference claim ATTRIBUTION

A

relative magnitude of causal contributions to the detected change with an assignment of statistical confidence
- take into account inherent internal variability and uncertainties in observations and responses to external causal factors

30
Q

alpha diversity

A

within assemblages

31
Q

beta diversity

A

between assemblages

32
Q

gamma diversity

A

summed over all assemblages