In 1807 Alexander von Humboldt published Essay on Plant Geography. Humboldt made major contributions to botany, zoology, meteorology, oceanography, and anthropology, but is in particular known at the “father of geography.” The Essay is particularly remembered for relating vegetation to climate and elevation (Humboldt studied vegetation on Chimborazo, a 6264 m mountain in Ecuador with tropical rainforest at the base and a snow-capped peak). However, Humboldt (and his collaborator Aimé Bonpland) also linked plant distributions to geology, soils, geophysical phenomena, and human impacts. Earth and ecological scientists ever since (and probably before) have used a “state factor” approach to explain the spatial variation of various phenomena and how and why the plants, soils, climate, or other phenomena in different places differ from each other. It’s a fundamentally geographic logic that says, in essence, if the factors that determine the type of, e.g., vegetation, soil, or climate in different places are the same, then the plants, soil, or climate should also be very similar.
In the late 19th and early 20th century, soil scientists in Russia and a bit later in the U.S.A., formalized the concept, the best-known statement being the so-called “clorpt’ equation:
where S is soil or some soil property, cl is climate, o for organisms indicates biological effects (originally focussed almost entirely on vegetation, r (relief) indicates topography, p is parent material, and t is time, usually thought of as the time available for pedogenesis. The trailing dots indicate the possibility of other factors not encompassed in cl, o, r, p, t that influence soil formation in particular cases, but not necessarily in general (for example sea-level change or contaminants).
Swamp soil along the Waccamaw River, SC
The state factor conceptual model is to this day the underlying framework for soil mapping and continues to be used, usually implicitly but sometimes explicitly, throughout the ecological and Earth sciences. State factor approaches have been subject to considerable debate in pedology, mainly centered on three general areas. One is the independence of the state factors—clearly they are not independent of each other or of the soil itself, but the debate concerns whether they can be treated as though they are in certain contexts, and how to disentangle their effects. Second is how to actually use factorial models for prediction, given that each state factor may itself have multiple variables to describe it. Third is the association of the state factor model and related ideas with practices in soil taxonomy, pedogenesis studies, and the general praxis of soil science (I don’t like that word because it seems so pretentious, but I didn’t want to use “practice” twice in the same sentence) that are thought to have inhibited other approaches. With respect to the latter, soil state factors have sometimes been presented in opposition to studies of soil processes. The two approaches are actually complementary, with the state factors providing the environmental context and boundary conditions within which processes operate, and processes explaining how the state factors work.
With that out of the way, what are the factors of swamp formation?
Let’s start with climate. Though small, isolated wetlands can occur even in deserts if there are local spots where water accumulates and wetness lingers, a full-on swamp requires a humid climate, wet enough to support trees, particularly hydrophytes. Climate is only one factor that influences water availability, illustrating right off the bat the interdependence of state factors. Temperature regimes will also influence swamps—for example, consider the distribution of swamp tupelo (Nyssa biflora) shown below. You don’t find the tree north of central Virginia, or west of the 100th meridian (which corresponds with the straight line on the left, a general divider between humid and drier climates in the U.S.A.). The concentration on the Atlantic and Gulf of Mexico coastal plains hints at elevation and topographic-related factors—interdependence again.
Distribution of Nyssa biflora (swamp tupelo) based on U.S. Forest Service Forest Inventory and Analysis data (https://www.fs.usda.gov/nrs/atlas/tree/694).
Another obvious candidate is topography. Swamps will occur where water can collect and persist; at lower elevations, gentler slopes, and in depressions. Closely related, but also linked to factors other than topography and climate is hydrology, including influences such as flow regimes, tides, and groundwater dynamics.
Differences among swamps are also defined by vegetation. Plant communities are obviously related to climate, hydrology, topography, and soils, but also to other factors such as seed sources, dispersal mechanisms, disturbances (e.g., floods, storms, fires, pests, logging), and ecological interactions among plants and other biota. Perhaps animals could be lumped with plants as an organisms or biota factor, but one can also argue that the presence or absence of critters such as beavers, alligators, nutria, feral hogs, and others (not to mention Homo sapiens) justifies fauna as a separate state factor.
Swamp along the Black River, NC
Soils are another state factor. In the swamps I have worked and played in the Carolinas and Texas/Louisiana the main differences among soils are associated with the texture (particularly sandy vs. clayey vs. organic and combinations thereof), drainage class (obviously related to hydrology), geomorphic environment (e.g., floodplains, terraces, infilled oxbows, depressions), and presence or absence of specific soil features such as argillic horizons (clay-rich subsoils). Finer distinctions are related to mineralogy and pH.
Independently of closely related topographic and hydrologic factors, I consider geomorphology a state factor. This includes the formation and modification of specific features such as natural levees, oxbows, and point bars, and the extent to which the setting is erosional, depositional, or both/either. In the classic form of the soil state factor equation, the type of swamp or its characteristics (Sw) is a function of climate (cl), topography (r for relief), hydrology (h), vegetation (v), fauna (a for animals), soils (s), and geomorphology (g):
This is a conceptual framework, not an equation to be numerically solved. For one thing, there are any number of specific variables or indicators that could be associated with each of the factors. For another, as we have seen, all the factors are interrelated and interdependent.
I will explore this framework further in future posts.