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3 goals of conservation
document biodiversity on earth
evaluate/predict humans effects
develop solutions to protect and manage biodiversity
Soules postulates (conservation biology)
biodiversity is good, so we should prevent extinctions
ecological complexity is good, so should be maintained
evolution is good, so we should maintain variation necessary for it to occur
biodiversity has intrinsic value beyond economics
Kareiva and Marviers postulates (conservation science)
conservation occurs in human altered landscapes
conservation only succeeds if we support the goals
conservationists must work with corporations
jointly maximize conservation and economic objectives
conservation must not infringe on human rights
levels of biodiversity
genetic
species
ecosystem
threats to biodiversity
extinction
habitat loss, degradation, and fragmentation
overexploitation
invasive species
climate change
George Perkins Marsh
proposed that deforestation → decertification → collapse of civilization
Alfred Russell Wallace
concerned about impact of forest clearing on soil erosion in the tropics
John Muir
promoted preservation of wilderness and found intrinsic value of nature (spirituality)
what led to concerns about biodiversity in the 1800s
greater awareness of biodiversity among western naturalists (species discovered via colonialism)
Europe undergoing rapid population growth (population outgrow food → famine)
industrial revolution → increased demands for resources
common excessive killing of wildlife
migratory bird treaty act
illegal to hunt, sell, kill, or traffic migratory birds
conservation biology jobs
environmental education
monitoring biodiversity for population trends/ecosystem changes
mitigating/minimizing impacts
regulation
regulatory and legislation specialists
academic conservation biologists
assessment teams for conservation easement
genetic diversity
genetic variation between individuals and populations
how to measure genetic diversity
allele frequencies
polymorphism - proportion of gene loci with more than one allele
heterozygosity - proportion of individuals heterozygous for a gene locus
challenges with measuring species diversity
species concept
cryptic biodiversity
hybrids
why is species diversity important
legislation applied to this level
maintain species diversity can indicate genetic/ecosystem are also maintained
species richness
number of species (S)
detection errors
species richness underestimated due to
cryptic species
undiscovered species
difficult to distinguish species
different spatial scales
heterogeneity
evenness/dominance of a species within a population
simpson’s dominance index
Ds = ∑(pi)2
pi - proportion of individual (i)
Ds - dominance
Simpson’s index of diversity
1-Ds
ranges from 0-1
Shannon index
HI = - ∑[pi X ln (pi)]
perfect order but no diversity - HI=0
higher index = more evenness
typically between 1.5-3.5
rarely over 4.5
Simpson’s evenness index
evenness independent of species richness
E1/D = 1/Ds * 1/S
1=complete evenness
spatial turnover
differences in ecosystems across a landscape
temporal turnover
differences in a community/ecosystem over time
alpha diversity
species richness, local diversity
gamma diversity
species across a landscape, regional richness
beta diversity
difference between alpha and gamma diversity
Alberta biodiversity monitoring institute (ABMI)
funded by Alberta innovates to try and quantify cumulative effects of Alberta activities on Biodiversity
ABMI’s intactness index
varies from 0-100
0-none of the original species left
what decreases ecosystem intactness
common species rarer
non-native species more dominant
native species starts to dominate
hotspot
areas with high amounts of endemic species
surrogacy
use of one species/taxonomic grouping an areas biodiversity
why are tropics/islands considered hotspots
more area
more productivity - more solar energy, more productivity
more time - more stable climate, more time for specialization
intrinsic values
value biodiversity on its own (religion, moral, ethical)
instrumental values
value biodiversity for its usefulness
Total economic value
calculated by use and non-use values
direct use value
value of market goods/products
indirect use values
value of natures services (flood control, shoreline protection, ect)
option value
value of assets in the future (medicine, genetic library, ect)
existence value
non use value, value of knowing a resources exists (for future generations)
relational value
value nature for the relationships, identity, and personal wellbeing
Anthropocentrism
value humans above all, value nature for our benefit
Biocentrism
all life forms seen as equal, intrinsic value of biodiversity
ecocentrism
value all parts of the ecosphere (living and non-living)
ecosystem service
ecosystem functions that directly benefit humans
3 major developments in history of ecosystem service
valuation of ecosystems
research mechanisms that link biodiversity and ecosystem processes
millennium ecosystem assessment
externalities
economic term for an indirect cost or benefit that impacts an uninvolved third party
negative externality example
1952 great smog of London where coal burning for factories led to 12000+ deaths
positive externality example
farmers leave a shelter belt for wind protection which creates a habitat for beneficial insects and increases crop productivity
wetland mitigation hierarchy
avoidance
minimize
replace
biological mechanisms that make biodiversity increases ecosystems services
niche partitioning
positive interactions - organisms benefit each others roles
selection effect
dilution effect
niche partitioning
more niches in more diverse ecosystems → more efficient use of resources
selection effect
more species means higher chance that 1+ will perform their role successfully
dilution effect
higher biodiversity leads to decreased risk of humans becoming infected by zoonotic diseases (ticks, mosquitoes)
4 general categories of ecosystem services
provisioning - products from nature
regulating - services that regulate our environment
cultural - non material benefits'
supporting - services that support other services to function
3 biological resource zones in a traditional Hawai‘ian
ahupua‘a system
upland forests
agricultural
costal
traditional ecological knowledge
qualitative knowledge passed down from generations
western scientific ecological value
quantitative and statistical data gained from western scientific method
psudoextinction
species disappears from fossil record because it evolved into a new species
threatened categories
critically endangered, endangered, vulnerable
5 criteria to classify species conservation status
population reduction
restricted geographic range
small population size & decline
very small/restricted population
extinction probability analysis
critically endangered
species faces extreme risk of extinction in immediate future
endangered
species faces high risk of extinction in near future (+20%)
vulnerable
species has high risk of facing extinction in medium future
mass extinction
when 75% of species go extinct