concepts Flashcards
Optimal foraging theory (OFT)
Animals maximise the benefits of food gathering (energy intake) while minimizing cost (energy, time, risk). This is also done via optimal diet model and patch choice model. Limitation = assumes they have complete knowledge of whole environment. There are also factors such as competition, social behaviour and environmental unpredictability.
Exploiter-mediated coexistence
When species that might otherwise compete directly for the same resource can coexist because of the presence of a shared predator or parasite (‘the exploiter’). This works as regulation and stops one species from being dominant or outcompeting another. It also allows multiple species to share the same habitat. Limitation: could be too effective and lead to overexploitation, or also predator specialization.
Trophic cascade
Top-down effects that predators exert on lower levels of a food chain/web, which can influence a whole ecosystem. When species predate, it indirectly affects the abundance of lower levels.
Sampling effect
The more species, the more likely there is a highly competitive species. This species is a more efficient user of resources which leads to higher productivity, which means there are less unconsumed recourses and fewer opportunities for new species.
Portfolio effect
The more species there are to spread the variability across, the more stable the ecosystem. Like in business, the more diverse the investment portfolio, the less susceptible it is to market volatility.
Complementarity effect
Each species has a combination of resources at which it performs best. Variation means that each species covers a different part of the habitat, but no species can fully exploit the full range of conditions.
Adaptive radiation
Important for ecological diversity. The diversification of a lineage into species that exploit a variety of different resource types and differ morphologically or physiologically. Adaptive radiation may be responsible for many of the species in isolated communities (over immigration). This could be since many locations are difficult to colonize. And they may find ‘empty niches’ anyway.
Rarity
Evolutionary age: (older species have bigger ranges, they have had a longer time to expand from their point of origin, this could also predict range size).
Relative dispersal ability: (better dispersers have better ranges, like plants for example with birds and wing-dispersed seeds). Wing loading (wing size relative to body size), wing loading predicts range size (Enochrus).
Niche breadth: (specialists would have a smaller niche/habitat than generalists, this will be due to physiological differences which are fundamental to setting niche breadths). Like thermal range for example (Calosi et al. (2010)). Temperature is the best predictor of latitudinal range extent.
Biogeographic accident: (down to where they evolved, and how easy it is to leave that place, for example in island endemics). Island endemics should have bigger ranges, but what restricts them is that they evolved on the islands. But if they could get out, their ranges would be big.
Ice ages summary
Recent history = repeated cycles of glacial and interglacial periods.
Ecological and evolutionary consequences = latitudinal diversity gradient, conc. of endemic species at low latitudes (Rapoports rule- narrow range endemics aren’t evenly disributed), communities at higher latitudes often of relatively recent origin.
All affect relative responses to ongoing global change.
Albido effect
build up of snow and ice cools earth even more due to the reflection into the environment.
Periodic changes in characteristics of the earth’s orbit
Eccentricity (96000 year periodicity) = more elliptical orbit, greater seasonal contrasts in solar radiation. Obliquity (42000 year periodicity) = angle of tilt, when the angle is greater the seasons are more marked, summers in both hemispheres receive more energy from sun, and winters less. Procession (21000 periodicity) = effects strengths of seasons, similar in both hemispheres, to more marked in one or other.
Taxa vs latitude: local, regional + temporal
Local explanations- competition + predation. Structural complexity = more niches for more species (high diversity). Doesn’t explain why more species co-occur (more regional focus).
Regional- regional richness determines local richness, (balance between speciation + extinction).
Time- lower extinction rates at lower latitudes (or higher speciation rates due to more gens of organisms in real time) compared to in higher latitudes with stronger seasons. = faster mutations and adaptations.
climatic stability = lower extinction rates.
latitude diversity gradient (LDG)
Most common during ‘icehouse’ earth (glaciation). Few cases of modern-style LDG. During the global greenhouse conditions, tropical biotas were at higher latitudes. Pleistocene ice cover 3MYA- present, is more extensive in the northern hemisphere, there are more species dropping off now (isopods gastropods, bivalves). But still same in Southern hemisphere (more taxa). Arctic is isolated by its own current. Productivity + speciation rates aren’t necessarily mutually exclusive.
Ecosystem functioning
Energy and nutrient cycling, key trophic processes (primary and secondary production), factors underpinning ecosystem processes (ecological succession, partly predictable change in communities of how they are composed over time).
Ecosystem services: subset of processes and functions beneficial to humans. Like CO2 fixation, O2 release, soil formation, water purification, climatic regulation, N2 fixation, pollination.
Niche complementarity
Doing different things in niches which complement each other, more overlap as more resources are used. functional redundancy = if species leave/die, so the system can continue due to overlap, but then it will stop at a critical point. Idiosyncrasy is all over the place, not just about the no. of species but what the species are and their functional traits within the system. Not all species are equal in contributing to ecosystem functioning.
Keystone species
Species whose influence on the community is greater than would be predicted from their abundance/biomass.
Studied via: patterns in nature, field manipulation, mesocosm studies (tank in lab, cotton experiment). None of these methods are able to describe all results.
Life history
Adaptations of an organism that influences aspects of its biology.
- Reproduction (no. of offspring, timing of reproduction, sex ratio of offspring, gestation period)
- Growth (size at birth, maturity, growth rates.
- Mortality (lifespan, mortality schedules (mayfly has short life span, but have mass emergence and then die-off)).
Darwinian fitness
Lifetime reproductive success of an individual. Selection for optimal combos of life history traits.
-Eg: ocean sunfish have low chances of encountering partners, so they have a long life with a high reproductive output (300 million eggs).
Evolutionary constraints + trade-offs
Change in one trait increases fitness, but results in a change in another trait that decreases fitness. Organisms aim to max reproductive success given constraints, resource allocation.
-Physical + developmental constraints (allometric relationship).
-Selection pressure can vary among life cycle stages (declines with age)
-Biotic interactions (herbivores)
Reproductive effort- allocation of time, energy + resources for offspring production/care.
Grouping by LH vs functional traits
LH: to understand evolutionary origins of different life histories, predict how species might respond, identify species vulnerable to anthropogenic pressures, why some species are useful in human-altered environments.
Functional traits: (physiological, morphological, behavioural traits influencing performance/fitness). Can influence the ability of species to respond to changing or novel environments.
LH strategies (r vs k-selected)
r = pr capita rate of increase (expanding populations, faster LH (more allocation to reproduction)).
K = carrying capacity of pop (stable populations, slower LH (more allocation to survival)).
r-selected species
Disturbed (unpredictable/short-lived) environments
Short-lived, small organisms
Rapid development
Many offspring (early maturity)
Density independent
k-selected species
stable (predictable) environments
Long-lived, large organisms
Slower development
Few offspring (late maturity)
Density dependent
Positive symbiosis
Mutualism: long-term, evolved association between two species in which both partners benefit, et benefits must exceed net costs)
Commensalism: the other partner doesn’t benefit but remains unaffected) = interspecific interactions
Negative symbiosis
Competition (– or -0)
Predation (+/-)
Parasitism (+/-) = interspecific and intraspecific interactions.
Facilitation
When one species provides another with a favourable habitat, influencing the distribution of that other species.
-In successional communities (dunes, forest growth), stressful environments (like arctic conditions, coasts).
Examples; cushion plants increase species richness of communities in Andes, marram grass stabilises sand dunes for colonisation by other species.
Competition
Interspecific- competition of shared resources between species.
Intraspecific- competition of limited resources among individuals within species.
Density dependence
Negative- individual fitness (or birth rate) declines with increasing population size. (driven by increased competition, also predation and disease).
Positive (Allee effect)- individual fitness (or birth rate increasing with population size). Organisms that live or hunt in groups.
Methods
Lab experiments: manipulate pop densities or resource availability whilst controlling for other conditions.
Fiel experiments: manipulate similar factors but with an uncontrolled background environment.
Observational studies: correlation between environment and pop change over time.
Types of niche interactions
Competitive exclusion- local exclusion of a competing species.
Niche differentiation- character displacement (evolutionary change), in sympatry (not allopatry). Coexisting competitors should show niche differentiation, potential competitors with little or no niche differentiation should be unlikely to coexist.
Coexistence- most communities contain quite similar species; evolution of niche differences promotes species coexistence.
Apparent competition- one species has a negative effect on another species, via a third species.
Community structures and assembly
Structure- attributes such as no. of species, types of species and relative abundance.
Assembly- study of processes that shape the identity and abundance of species within ecological communities.
Species diversity
Species diversity: no. and abundance of species present in a community, defined with species richness (no.), and species evenness (relative abundance of species)
Diversity measures (combine species evenness and richness. Simpson index (D or DI), Shannon-Wiener index (H or H’).
Community shaping factors
At a constant flux:
-Competition, predation/parasitism
-Environmental heterogeneity (complexity)
-Stochasticity (random events)
-Disturbance
-Mutualisms
Disturbance
Temporary change in environmental conditions that cause a pronounced change in an ecosystem
-Mechanical vs physico-chemical
-Periodic vs stochastic
-Biotic
Intermediate disturbance hypothesis (Connell 1978)
Founder-controlled disturbance
-Competition low, disturbance high
-Randomness in coloniser success (structure driven by colonisers)
-Coloniser can persist in community until death
Dominance-controlled disturbance
-Competition high, disturbance rare
-Colonisation of openings by pioneer species
-Over time other good competitors become dominant
-Sequence of species = ecological succession