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critical period in early life history of fishes
time period when there is either match between larvae that need to find food and food or there is a temporal mismatch, determines the success of an entire cohort (either larvae lines up with phytoplankton bloom or does not - explains why there is only replenishment of fish populations every few years because of this match cycle)
Meiofauna examples
small annelids, larger protozoa (ciliates), some copepods
interference competition
physical attacks (like how Balanus overgrows Chthamalus)
exploitative competition
competing for the same resource (food, light, etc.)
apparent competition
not a real form of competition, one prey species in proximity to another prey species attracts predators, bad for the species that wouldn’t attract predators naturally but ends up being preyed on because someone else attracted a predator
green world hypothesis
“herbivores are seldom food limited and appear most often to be predator limited”Herbivores are not eating all the plants (hence why the Earth looks green), because they are preyed upon and their population is regulated
exploitation ecosystems hypothesis
Productivity determines length of food chain across trophic levels - higher productivity can support more levels of predation
Conditions that promote trophic cascades
Simple food chains (no omnivory, cannibalism, or functional redundancy), low population connectivity, life history of prey-prey scale closely, homogenous habitat, common prey
Predation/disturbance intermediate disturbance hypothesis
Diversity is maxed at medium levels of disturbance/predation intensity - gradient between stress of competition vs environmental factors
Menge Sutherland model
Regulatory mechanisms change among trophic levels
Physical factors, competition, predation
In a place with high environmental stress, physical factors matter most as regulatory mechanisms. In a medium stress zone, competition matters most. In a high stress zone predation matters most
Over-yielding
polyculture is more productive than the sum of the respective monocultures
Complementary hypothesis
Mechanism to achieve over yielding, different species access different resources in a complementary way
Non-transgressive over-yielding
Better than the average monoculture, but between that and the best monoculture
Transgressive over-yielding
beyond best performing monoculture
Idiosyncratic hypothesis
Explains 90% of Overyielding. Diversity produces higher function because the more species you acquire the more likely you are to get one high performing species that allows a gain of functionality
Functional diversity
variety of biological roles or characteristics, reflects the
biological complexity of an ecosystem
Examples of functional classifications
habitat, trophic position, feeding mechanism
Saturdation/Redundancy hypothesis
Increasing species richness leads to diminishing returns in ecosystem functioning
Larval lottery hypothesis
adult species composition and communities are based on whatever larvae happened to arrive first when resources were available and became the best competitors for space (random - depends on who gets there early!)
Density dependent factors of population regulation
Limiting resources (food, space), predation, disease/parasitism
Density independent factors of population regulation
temperature, salinity, habitat destruction, etc.
Demographically open paradigm of marine population connectivity
Outdated belief that all larvae of a species are in a connected pool and get mixed all together by ocean currents and then randomly land wherever
Demographically closed paradigm of marine population connectivity
More current belief that local larval retention limits population mixing (larvae likely become adults where they come from originally)
Main thing bottom up controls regulate
Productivity rates
Main thing top down processes regulate
standing stock biomass of lower trophic levels
wasp-waist ecosystem structure
Biomass structure forms a narrow ‘waist’ through which energy flow from low-high trophic levels is controlled - a short-lived intermediate species exerts top down and bottom up control, only seen in marine ecosystems
from low-to-high trophic levels is controlled due to one
F-ratio
the fraction of total primary production fuelled by nitrate or N-fixation
(“new” production) as opposed to ammonium, urea, AA, etc. (“recycled” production)
Habitat fragmentation
process by which a homogenous habitat is split into isolated smaller patches with a lesser total area
habitat edge effects
changes in community structure or dynamics that occur at the boundary of two or
more habitats
fundamental niche
where an animal can reside based on just abiotic factors
realized niche
how an organisms niche shrinks based on biotic factors such as predation
porifera
sponge phylum
5-10k species
mostly filter feeders
shallow water
cnidaria phylum
jellies, corals, anemones
complex life cycles (polyp, medusa stages)
annelid phylum
segmented worms! mostly marine
mostly benthic
15k-20k species
mollusks
100k species
ubiquitous at all depths and latitudes
7 classes of mollusks
Cephalopods, gastropods, bivalves, Scaphopoda (tooth shells), aplacophora, monoplacophora (ancient limpets), polyplacophora (chitins)
arthropods
100k species
10 classes
echinoderms
bilateral symmetry
7500 current species, 15k in fossil records
chordata
mostly epibenthic
often filter feeders
Bergmann’s rule
Broadly it asserts that within a species the body mass increases with latitude and colder climate, or that within closely related species that differ only in relation to size that one would expect the larger species to be found at the higher latitude
Rapoport’s rule
Latitudinal ranges of plants and animals are generally smaller at low than at high latitudes
Thorsons rule
benthic marine inverts at lower latitudes produce more eggs and tend to have pelagic larvae, while those at higher latitudes produce fewer and larger yolk-feeding eggs and offspring
latitudinal emergence
deep-sea species at low latitudes are also found at shallower depths near the poles (i.e., the species follow an isotherm)
biodiversity portfolio effects
stability in aggregate community properties such as biomass or productivity generally
rises with species diversity, simply because of the statistical averaging of the fluctuations across species