Stano Pekár“Populační ekologie živočichů“  dN = Nr dt  a major sub-field of ecology which deals with description of the stucture and the dynamics of populations within species in time and space, and the interactions of populations with environmental factors  expanding field (Price & Hunter 1995): - populations 52 %, communities 9 %, ecosystems 10 %  main focus on - Demography – relationship between population structure and dynamics – the core of the discipline - Population dynamics – describe the change in the numbers of individuals in a population populations of member species may show a range of dynamic patterns in time and space central question: “WHAT DOES REGULATE POPULATIONS?“ Change in abundance of Lynx and Lepus in Canada density independent factors, food supply, intraspecific competition, interspecific competition, predators, parasites, diseases 1. Conservation biology  World Conservation Union (IUCN) uses several criterions (population size, generation length, population decline, fragmentation, fluctuation) to assess species status  by means of Population viability analysis (PVA) estimates the extinction probability of a taxon based on known life history, habitat requirements, threats and any specified management options Saiga tatarica critical: 50% probability of extinction within 5 years endangered: 20% probability of extinction within 20 years vulnerable: 10% probability of extinction within 100 years 2. Biological control  to assess ability of a natural enemy to control a pest  in 1880 Icerya purchasi was causing infestations so severe in California citrus groves that growers were burning their trees  in winter 1888-1889 Rodolia cardinalis and Cryptochaetum were introduced into California from Australia, growers took the initiative and applied the natural enemies themselves  by fall 1889 the pest was completely controlled  Rodolia cardinalis has been exported to many other parts of the world  the interest of growers and the public in this project was due to its spectacular success: the pest itself was showy and its damage was obvious and critical; the destruction of the pest and the recovery of the trees was evident within months Rodolia cardinalis (Coccinellidae) eating Icerya purchasi (Hemiptera) 3. Epidemiology  to predict the diffusion of a disease and to plan a vaccination  phocine distemper virus was identified in 1988 and caused death of 18 000 common seals in Europe  during 4 months the disease travelled from Denmark to the UK  the population of common seals in the UK declined by about half 0 50 100 150 200 250 300 350 400 0 2 4 6 8 10 12 14 16 18 20 week no.ofdeadseals observed predicted Observed and predicted epidemic curves for virus in common seals in the UK Grenfell et al. (1992) 4. Harvesting to predict maximum sustainable harvest in fisheries and forestry but also used to regulate whale or elephant hunting when population is growing most rapidly (K/2) then part of population can be harvested without causing extinction Beddington (1979) Relationship between capture and fishing effort Panulirus cygnus population conditions resources enemies population ecology aims to study interactions among components of the system a dynamic system – characterised by events and processes  Hierarchical structure: molecules  organels  cells  tissues  organs  organ systems  organisms  populations  communities  ecosystem  landscape  biosphere  Defines fitness (relative genetic contribution to the next generation) of an individual by response to a current situation  Definition: a group of organisms of the same species that occupies a particular area at the same time and is characterised by an average characteristic (e.g., mortality)  Particular area – area in which a change in density is mainly due to mortality and natality not due to emigration an immigration  Studied adopting proximate approach – how the response happened Event – an identifiable change in a population Process – a series of identical events (in time) • rate of a process – number of events per unit time Natality (birth rate) Mortality (mortality rate) Growth (growth rate) Population increase (rate of increase) Consumption (consumption rate) Birth [inds] Death [inds] Increment [gram] Increment [number] Acquisition of food [gram] ProcessEvent Individual  Population Stage structure Age structure Size structure Sex ratio Spatial distribution Developmental stage Age Size Sex Territorial behaviour Events Individual  Population Population growth Age structure change Natality Mortality Individual growth Aging Reproduction Death Processes  inherent biotic and abiotic characteristics of the evironment (pH, salinity, temperature, moisture, wind speed, etc.)  independent of population size  affect the population - limit population size  not consumed by population  no feedback mechanisms  do not regulate population size exogenous effect - random and forcing processes optimal suboptimal unfavourable reproduction growth survival performance conditions  any entity whose quantity is reduced (food, space, water, minerals, oxygen, sun radiation, etc.)  modified (reduced) by populations  defended by individuals (interference competition – self- regulation)  regulate population size – bottom-up regulation  renewable and non-renewable resources (space) Renewable resources - Type 1 - regeneration centre outside the population system  no effect of the consumer (e.g., oxygen, water) - Type 2 - regeneration centre inside of the population system  influenced by the consumer (e.g., prey) - Type 3 - regeneration centre inside of the population system  access to the resource via secondary consumer (e.g., nitrogen)  competitors, predators, (macro) parasites, (micro) pathogens  negative effect on the population  top-down regulation of the population Absolute  number of individuals per unit area (census)  number of individuals per unit of habitat (leaf, plant, host)  sieving, sweeping, extraction, etc. Relative  number of individuals per effort  trapping, fishing, pooting Capture-recapture method – for mobile individuals  Assumptions: - marked individuals are not affected and marks will not be lost - marked animals become mixed in the population - all individuals have same probability of capture - capture time must be short Closed population  population do not change over sampling period - no death, births, immigration, emigration Petersen-Lincoln estimator: N .. number of individuals in population a .. total number of marked individuals r .. total number of recaptured marked individuals n .. total number of individuals recaptured For small populations (Chapman 1951) )1( 1ˆ    ii ii i r na N 3 )1( )1( 2 1 )(     ii iiiii r rnna SD 1 1 )1)(1(ˆ )1( 1       ii ii i r na N 2 )1()1( )1()1(11 )1)(2( ))()(1)(1(      iiii iiiiiiii rr rnrana SD Open population  changes due to death, births, immigration, emigration  at least 3 sampling periods Stochastic Jolly-Seber method Ni .. estimate of population on day i ai .. number of marked individuals on day i ni .. total number of individuals captured on day i ri .. sum of marked and recaptured individuals on day i Zi .. sum of marked individuals that were recaptured 2 and more days after marking Ri .. sum of recaptured individuals marked later than 1st day i .. day of capture j .. day of marking i i ii i r R Za M  i ii i r nM N ˆ where     1 1 i j iji rr     n ik i j kji rZ 1 1 1   n ik kii rR 1