Species distributions Flashcards

1
Q

Direct change of distribution by CC

A

Climate changes cause the species to move/die out

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2
Q

Indirect change of distribution by CC

A

If CC causes the food a species relies upon to move/die out that species is effected –> takes a little bit longer

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3
Q

Example of SDM being right?

A

Great spotted woodpecker being in Ireland –> this was predicted so there must be some stock behind SDMs

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4
Q

Bird species turnover and SDMs in Africa

A

West africa largely unchanged for bird spp
But south and east aria has lots of predicted turnover, so advising land managers in this area for CC need to make sites as connected as possible

Can get different predictions because we dont know exactly what climate change will do in the future. There models also take no account of habitat, dispersal, demographic traits. These alter likelihood to track climate. People often consider several simulations when trying to predict what will/might happen.

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5
Q

Butterflies that differ in sd

A

comma

  • high mobility
  • generalist
  • tracking climate

silver studded blue

  • low mobility
  • habitat specific
  • restricted in area of apparent suitable climate
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6
Q

Birds into the uk by 2100

A

Traits may restrict ability to colonise

Estimated by 2100, UK will be suitable for 44 new birds spp and lose 10 spp.
Since 1990, 9 of projected 44 species have bred for the first time and 5 shown signs of breeding –> 25% predicted had shown signs in first decade of century

Can calculate colonisation period to see how long will take spp to get to UK (good predictor of which species will get here). Those that get here tend to be good and dispersing and have high fecundity.

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7
Q

How do you calculate colonisation period

A

distance of nearest population * generation time
_______________________________________
mean dispersal distance per generation

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8
Q

Incorporating uncertainty

A

Can be done by looking at causes of variation such as emission scenarios, spp distribution modelling, and method, variation in spp dist. Can test in predictors are robust with these uncertainties.

Allowing for uncertainties allows recommendations to be more robust. In a data set, some study found large variation in certainties

Movement of spp can also alter ecosystem services

If we predict a species will move we can plant eg conifer trees to facilitate movement in 30/40 years

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9
Q

Indicator

A

A species that are used to infer the state of the envirmnet

A group of species who weighted population trends (when taken together) reflects the average behaviour of the constituents spp group.

Some incr under cc some decr, some already reacting

Could see if spp already being affected eg farmland birds seen to be decreasing

  • primarily arctic spp in the uk doing less well
  • Mediterranean doing better

national indicators were developed (as some spp incr in one country and decline in others). These finer resolution spp show recent CC has impacted all bird species across Eu. Did USA too. Changes not only in rates but abundance and community compositions.

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10
Q

Why migrate

A

If insectivorous then in winter may not survive. If you switch your direct as blackbirds and blue tits do then you could

Adapted to change environment in and space and time

Avoid poor environment conditions enter that

Can evolve over time as adjacent habitats are utilised the species move apart there is often strong selective pressure

Many European and African migrants spread through Africa as the European winter develops Because changes in abundance Likely migrants and more risk from climate change than any other resident species

Populations me different breeding grounds so some parts of the population may be more at risk than others four example the common crane it is very difficult to select state on migrant species so we don’t know how much climate change will affect some of them

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11
Q

Types of migration

A

Stepping stone - migrate in steps

Circular

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12
Q

determining migration patterns

A

Radio telemetry very limited range to detect things cannot detect long-distance migrants unless you have a good idea of where they stop/end up

Colour marking

Satellite tracking precise data of individual movements tags are heavy and can’t be put on small birds

Genetic and isotope studies can give information on where subpopulation speding their time eg dunlin- those that winter in Southwest Europe are likely to have originated from Western Europe. those wintering further north and east are likely to breed in eastern Siberia. However this tells us a little information about migration routes. Or stopovers

Geolocators- track small migrants (about 10-15 g) according sunset/rise data and date can approximate locality however they do require individuals to be recaptured

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13
Q

Biology of migration

A

Many species moult all of their feathers prior to migration

Build up flight muscles- pre-migratory hypertrophy. Eat like crazy particular types of food high in certain nutrients so can put on lots of muscle mass

Changes in diet and eating behaviour

  • prior to and during migration some spp switch to frugivory (fruit has higher calories) from insectivroy
  • excellent nutrition- many carbs, some have unsaturated fatty acids and a few contain secondary compounds that vapour lipogenesis
  • fruit has seeds that can be dispersed along migratory tracks

End result of hyperphagia is extensive fat deposits. Many european songbirds can double their weight during this period. This has been shown to be genetically determined, fat plays a major role as energy source for migration

A large part is tired subcutaneously in adipose tissues of skin. Occurs in morphologically adapted fat bodies. Most important in clavicle, coracoid, flanks, abdomin, pelvic and rump regions. Also liver and breast

Fat deposition is promoted by hyperphagia, feeding locality, food type, incr foraging, reduction of other activitys, warm stopovers and torpor (period of reduced physiological activity eg lower body temp and metabolic rate in hummingbirds). On return many arctic spp need sufficient resources to produce eggs too

Phenological changes could alter the availability of essential pre-departure fattening food sources

One big problem is if CC causes increase in migratory distance then birds need to carry more fat. We can estimate additional flight load in such scenarios. If flight load is too much for a bird to carry then it will need to make additional refuelling stops. Can work out how long they can fly for because fat is fuel. Part of burning fat processes releases water so they stay hydrated

Can look at fat stores of birds migrating to/from Africa. To get an idea of how quickly they burn off fat, and the typical ‘spare’ load they carry once they reach their destination

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14
Q

Migration and weather

A

They can take advantage of favourable winds, choose to migrate at favourable heights (especially for large birds), form V formations to maximise gliding times using terrestrial updrafts and by staying over land as much as possible. Some choose to travel at night too (save energy)

But weather patterns may change, where they refuel could change, could increase distance or thyemay have to find completely new routes

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15
Q

Conserving mobile spp

A

Pic on phone

Particularly impacted y changes going on in an area.

Climate determines where spp can and cannot go for physiological reasons

A decline in quality or loss of stopover sight can result in disproportionately large population losses. In each example (on pic) only two sites lost. population implications are highly dependent on spatial configuration of that loss. Understanding migratory connectivity can be crucial to managing mobile pop effectively,

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16
Q

Migrants

A

12% of the worlds vertebrates are long distance migrants. Glbal declines of migrant spp have been observed.

40% of afro-paleo-arctic migrants have declined since 1970s. We have an increasingly better understanding of the drivers of the decline, population losses attributed to CC, habitat loss, and magnitude of migratory movements. LD migrants decline far more substantially then SD migrants

Migrants are dependent on breeding grounds, staging grounds, and non breeding grounds

Causal factors of these changes could be climate, habitat changes, migratory status (SD/LD), body mass, or anthropogenic factors

To model LD migrants we have to consider breeding and non breeding ranges. Can we related changes in population trends to climate or other factors.

By looking at Climate Suitability Trends (CST) we can understand which area may be causing the decline.

By 2070, the european bee eater’s journey is predicted to increase by 1000km

17
Q

Changing migratory journey

A

78 migratory species

LD and SD

SDM for breeding and nb range. Calculate migratory journey by randomly selected a point on b and nb range to calculate migratory distance. Repeat 1000 times to calculate geodesic distance. Tells us how variable the distance can be.

eg thrush nightingale- breeding range shifted north where nb range stays mostly similar

SD- both ranges shift north
LD- breeding range shifts north, nb range less consistent

50% of LD migrants having to make at least one additional stop over. Some LD migrations increase substantially in the amount of time they take. On average about 4 extra days, can be up to 10 extra days in some cases - delay could have substaintail effects on breeding productivity

18
Q

Calculating journey length

A

info on the mass of bird

area of wing

wing span

alongisde assumptions about fat loading, flight altitude, to calculate theoretical max distance and duration a bird could fly.

Stopping to refuel adds on days, could have phenologicla mismatch

19
Q

EU migratory spp egs

A

mean shifts of 500km between b and nb range. Exploring impacts of migratory journey and the physiology of migration under CC is something biologists have yet to address in detail

Black caps started staying in uk about 20 years ago. They are a population from germany that spend winter here. They get back to breeding grounds quicker with other UK –> assortative mating

Ring ouzel spp not just driven by UK climate but also by rainfall in north africa 2 years ago. They spend non-breeding season in morocco eating juniper berries. Takes 2 years for these berries to become edible –> difficult to predict how spp will respond

20
Q

Where will novel climates occur

A

Can plot where climates will be most dissimilar. Look at mean summer and winter temps and ppt. In 2100, novel climates mostly around tropics and subtropics. Boreal/tundra/tropics/sub-tropics will disappear in some places.

About 1/5 of the land surface will be novel climates with 2 degree warming

understanding how organisms respond underpins predictions as to the types of ecosystems that might prevail.

21
Q

Why are tropical systems of particular concern

A

high biodiversity

high carbon storage

v uncertain

22
Q

Plant physiological responses to temp and drought

A

Leaves in canopy show a midday peak in photosynthesis. This coincides with a peak in terpenoid emissions- antioxidant. It mops up free radicals and reduces oxidative stress –> but only up to a point. After peak midday temps, terpenoid and photosynthesis collapse. Increase in Green Leaf Volatiles (GLV) are a sign of stress and senescence and turnover.

When warmest and driest concentrations of GLV in canopy highest. Higher than at other times of year. GLV are a signal of photo stress and reduced C uptake

In situ warming (Tropical responses to altered climate experiment TRACE). Modular, focusing o leaves, roots, and soil microbes. Single factor to separate effects of warming from other global change variables
- can have soil warming rods, understory heating with lamps, canopy warming resistance cables.

23
Q

Tree mortality in drought

A

greater for larger trees

greater hydraulic change, high evapotranspiration in exposed crowns. If warmer climates drought stress –> lose larger trees –> reduce C sinks

In amazon, tree mortality rates increase while the C accumulation is in decline. Need to understand how novel climates will affect mortality/ forest and carbon dynamics in future

24
Q

Novel communities pic

A

on p

25
Q

evolutionary response?

A

Yes

But only when considering overall climatic trends upon which the rapid fluctuations are superimposed. The onset of quaternary was marked by a sharp global cooling. Superimposed upon a long term cooling trend that prevailed for the previous 40 MY

The cooling trend continued during the quaternary. Repeated glacial stages offered a novel, cold, dry environment south of ice sheets in Eurasia, in Beringia and N USA- hence an evolutionary opportunity. They adapted to a long term underlying trend, not in response to individual climatic cycles. We have to try and separate long term fluctuations from short term trends.

26
Q

Polar bear

A

Urus maritimus

Best known extant mammal that evolves with long term cooling trend. Evolved from U arctos (brown bear) lineage. It exploited the new opportunities offered by the perennial sea-ice habitat in the Arctic. Adaptations include larger body mass, white coat, and more specialised carnivorous diet (eg being able to withstand high vitamin A levels from fish??)

Specialised adaptations render a spp highly vulnerable to current CC. Especially considering the rapid reduction of summer sea ice in Arctic Basin

Pizzly bear- population more in contact now, Hybridisation increasing

27
Q

Range shift examples

A

Treeline- Eu and New Zealand- advancement to higher altitude because of warming

Arctic shrub vegetation: Alaska, expansion of shrubs in previously shrubless areas bc warming

Antarctic plants and invertebrates- distribution changes bc more liquid water available and incr temp

28
Q

Is there any reason why uses species as units of global change studies is an issue?

A

Species are not uniform entities, they can have different, sometimes locally adapted populations differing in plasticity

Species response = entire species. Population response may be more appropriate for what you’re talking about in some questions

Sub pops may act differently

29
Q

How might infraspecific variation in thermal niches and phenotypic plasticity affect spp distribution in warming climates?

A

Valladares et al (2014)

  1. Made a model linking plasticity and niche breadth- providing 5 alternate intraspecific scenarios that are consistent with existing literature
  2. Used ecological niche-modelling techniques to quantify the impact of each intraspecific scenario on the distribution of virtual spp across a geographical realistic setting
  3. Preformed analogous modelling exercise with real data on the climatic niches of different tree provenances

Found:
When population differentiation is account for and dispersal is restricted, forecast of spp range shifts under CC more pessimistic than those with homogeneously high plasticity across a spp range

We are going to see the biggest changes at the margins eg tree line, seeing recruitment failure of trees in steppeland after fire. Study at the edge bc those genotypes that can survive do, those that can’t die. Balance between long term evolution and short term plasticity.

Think this is the study where they looked at different estimates of phenotypic plasticity within the range and tracked how they moved - no?

30
Q

Edge vs central pops

A

Leading and trailing edges where colonisations and extinctions occur

Likely core and margin pops will differ significantly in life history traits and plasticity patterns of population selection pressures and envriomnetal heterogeneity likely to vary across spp dist.

Plasticity has been suggested to be lower across range margins than near range centres due to lack of additive genetic variation, small pop sizes, and genetic drift or founder effects

Other hypotheses propose plasiticyt should be higher at margins pops since these are the sites expected to experience high climatic variation and therefore plasticity genotypes will be advantageous. It is assume spp genetic variation will decline towards low quality habitats at range edges BUT peripheral pops may experience favourable conditions there higher fitness and phenotypic plasticity

Studies of fitness, local adaptations, and phenotypic plasticity of pops across entire spp range are scant. Whilst important phenotypic variations within spp are evident, we lack of comprehensive pic of what the impact of those differences would be on forecasts of spp distributions under cc, and how intraspecific variation in phenotypic plasticity and thermal niche optima affects forecasts.

31
Q

What is conceptual framework fitness determined by?

A
  1. Local adaptation, which primarily involves the genotype. If the trait isn’t adaptive then it is no use to us/indiv
  2. Plasticity which affects in combination with the environment the translation of genotype to phenotype and…
  3. The strength of environmental selection leads to a decrease in fitness in proportion to the differentiation of actual phenotypes from the optimal one

Model has some assumptions:

  1. Plasticity in traits controlling for tolerance to climate is adaptive
  2. Assume the traits mean and its plasticity (slope of the reaction norm) determine the optimum environmental value and the niche breadth, respectively, which can be separated for each pop within spp
32
Q

What are the 5 different theories of trait plasticity

A
  1. No differentiations: all pops of a spp have the same average trait values and the same reaction norms (magnitude of phenotypic plasticity) and as a consequence, their fundamental niches are the same and equal the overall fundamental niche of the spp
  2. Local adaptation, equal plasticity. All pops consist of locally adapted genotypes with low phenotypic plasticity
  3. High margin plasticity, as in scenario 2 all populations consist of locally adapted genotypes; but both plasticity and niche breadth are highest at range margins and lowest at the centre of distribution
  4. High central plasticity, reverse of 3. Plasticity and niche breadth lowest at margins and highest at range centre
  5. High leading edge plasticity; as in 3 and 4, all pops consist of locally adapted genotypes and differ in plasticity and niche breadth. However, in 5 plasticity and niche breadth incr from the warm range margin to the cold range margin (evidence of this from some animals)

Five different scenarios of intraspecific variation. it is difficult to predict the future when you don’t understand the fundamentals of a system. We know the answer lies somewhere in the middle, not sure where. Somethings may show one, others other.

Furthermore, suitable population level data are not available for most spp so identifying general patterns of population differentiation could fill this gap