Lecture 18: Succession Continued Degradative Succession: • Dead organic matter (plant matter, animal matter) • Short time scale • Ends when resource is completely mineralized & metabolized • e.g. sequence of insects/bacteria to invade a dead animal…progression of larvae is very predictable in time Autogenic Succession • Results from changes brought about by organisms themselves • When organisms change the environment can harm or benefit other species or themselves • Time scale: related to lifespan of organisms involved Allogenic Succession • Succession that results from factors external to the community • Can be massive disturbance or seasonal changes or changes in environmental factors • Time scale: related to time scale of disturbance • e.g. phytoplankton communities change seasonally (nutrients/temperature/light intensity) 1 Autogenic/Allogenic Processes • Not mutually exclusive • Different time scales • Community structure at a given time may be more a response to one or the other • e.g. climate change (slow) then autogenic change more important • e.g. frequent disturbance, allogenic succession What affects a species’ position in a succession? • Life History Features • Nature of changes caused by succession Life History Features Generally: • Good Colonizers = Bad Survivors 2 Biological Effects • Facilitation • Inhibition • Tolerance Biggest difference: variation in the way early colonists are killed off… Facilitation • Early stages aid in the development of later stages • Contribute to nutrient & water levels of soil • Modify microenvironment of soil surface • Marine systems: enhance quality of settling & establishment sites • Most important in primary succession • Early colonists are poor competitors Inhibition The presence of 1 species prevents another from becoming established Method: • eating it, reducing resources below acceptable levels, direct conflict Climax species deal in inhibition Can be affected by precedence: • Bryozoans can beat tunicates & sponges if establish 1st Later species can only replace early species when they die (local disturbances – physical/predator) 3 Tolerance • Species are equally capable of invading • Thus, affected by competitive ability • Early stages: poor competitors, short life spans, established quickly • Late stages: superior competitors, slow growth • Competition is key factor The Climax community • “End-point”: more nutrients tied up in organic material, more material into detritus than consumers (more supportive tissues), soil nutrient & mineral uptake faster & stored longer • Traditional view: only 1 climax within a region • Related to climatic conditions • Non-compliance (soils, topography, fire, animals) = interrupted stages in move towards climax Monoclimax vs. Polyclimax • Climax communities hard to identify (esp. because N.Am. still recovering from glaciers) • Many types of vegetation can be climaxes • Depends on local conditions Pattern-climax Theory (Whittaker 1953): • Composition of community depends on local environmental conditions 4 What determines climax? • • • • • • • Soil nutrients Moisture Slope Exposure Fire Grazing Etc… Transient/Cyclic Climaxes Transient: • Low persistence (community regularly destroyed) • e.g. seasonal ponds • e.g. dead animals (no climax reached) Cyclic Climaxes • Cyclic: • Usually driven by life history characteristics of dominant species • e.g. wind or frost heaving (leads to bare earth) • e.g. Earth hummocks • If cycle persists, it is as much a climax as a steady-state 5 So, what now? • Climax communities are not stagnant • Changes in structure as results of death, birth, growth • Therefore variations in density, distribution etc. Continuum Index • • • • Curtis & McIntosh (1951) Forest in Wisconsin Gradient of moisture conditions Increasing values: lead to sugar maple climax but also represent local climaxes 6 Modelling • Change in community = transition • Transition probabilities • Markov process: probability of occurrence of a particular state is dependent only on the present state of the system & not the path to the present state • e.g. forest: counted number of incipient saplings Figure 28.13 Ambrosia sp. Larrea sp. 7 Problems with these models • Simplistic Transition probabilities are affected by: • Initial biotic factors • Order of species arrival • Etc. Does not EXPLAIN just PREDICTS 8
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