Ecological complexity provides emphasis on relationships between pattern & process in natural systems
Ecological complexity is characterized by (1) local interactions between individual ecosystem components, (2) feedbacks between processes occurring at different scales, (3) amplification of minor variations in initial conditions, & (4) emergence of patterns in absence of global controller
A good example of a complex system governed by laws of physics and chemistry is the ecosystem
Emergent properties are patterns at higher levels emerging from localized interactions & selection processes acting at lower levels
The global economy and our brain are examples of complex systems
The four parameters of complexity are: elements, nonlinearity, connectivity, & autonomy
Nonlinearity is where non-additive interactions and feedback loops over time give exponential relations between input & output to systems
Connectivity appears as networks in a higher level that indicates the degree of how things flow in the network
Autonomy & adaptation enable self-organization & process of evolution that shapes complex systems on macro scale
Resiliency is achieved in the presence of alternative species due to connectivity
The three dimensions in ecology where complexity is measured: spatial, temporal, and structural
Spatial complexity is measured through the manner species are organized in a given geographical location
Examples of sources of spatial complexity are species distribution and vegetation patterns
Elevation is defined as the distance of your subject above a reference point (i.e. sea level)
A heat map is a diagrammatic representation of data whose values are represented as colors
Vegetation patterns can provide a degree of better ecosystem service like food security in the indicated areas of a local community
Temporal complexity is derived from dynamics or changes in population, effects of changes in climate & weather, etc.
Temporal complexity characterizes time series of different variables describing dynamics of a system
Perturbations affect ecosystem stability & complexity resulting in unfavorable conditions
Structural complexity refers to relationships within the ecosystem as exemplified by the food web and species interaction networks
The case of Yosemite National Park is an example of temporal complexity
Fragmented habitats limit the gene pool for a particular species
Black dots called nodes represent an individual organism situated in a habitat patch
The black lines called edges represent relations between two nodes
A node connected to many other nodes is designated as a hub
The node with a higher number of connections compared to other hubs is regarded as a high-degree node
A graph or connectivity network is composed of a set of nodes & edges
Scale-free networks are highly resistant to random disturbances but vulnerable to deliberate attacks on the hubs
Edges represent the flow of energy from one node (element/component) to another
The ecosystem is a network of many components whose aggregate behavior is due to & gives rise to multiple-scale structural & dynamical patterns
Type 1 measures increase with increasing disorder in system in a linear manner
Type 2 measure are of a convex function that assign highest scores to systems whose regularity lies at intermediate level
Evapotranspiration provides better capability for a land to sustain life depending on the maximum amount of water regained per unit of water consumed
Metropolises and small towns are examples of artificial ecosystems
Feedback processes reflect the impact of pressures (anthropogenic/natural)
Anthropogenic or natural pressures modify ecosystem structure that may be beneficial or detrimental to the biosphere
Interactions of components result in observable changes experienced locally or globally
Feedbacks indicate the consequences of emergent & global agents manifested in the local heterogeneous interacting components of the ecosystem
Examples of positive feedback include climate change, disease outbreaks, and death