Current BSS Projects
The following abstracts and project descriptions represent ongoing
work that utilize the BSS data. If you are interested in
using the BSS data available on this site, please be sure you are
not duplicating the projects described here.
Community and species relationships in oldfield succession
S. T. A. Pickett and M. Cadenasso
We are examining both temporal and spatial patterns in the Buell-Small
Succession Study. In particular, we are examining the following temporal
components of the process: community diversity and richness, invasion
and demise of species populations, species interactions, and interactions
among different assemblages and plant functional groups. We employ such
techniques as multivariate statistics (including ordination), community
classification, boundary analysis, and information theory.
Spatial trends to be examined are colonization and invasion, the
horizontal arrangement of functional groups and how those patterns
change through time, and relationship to larger landscape structural
features such as edges and adjacent land cover types. We will use
such techniques as geostatistics and standard indices of landscape
quantification.
Contingent assembly rules in secondary succession
S.Bartha, S.T.A.Pickett, and M.L. Cadenasso
We are studying assembly rules, i.e. ecological restrictions on the
observed patterns of species presence or abundance that are based on
the presence or abundance of other species. Contrary to the traditional
non-spatial equilibrium theory of assembly rules, we are looking for rules
that are extended from the interaction-based rules to the rules
controlling the mechanisms of spatio-temporal persistence and mobility of
species and that are constrained by the actual composition, complexity and
heterogeneity of vegetation. The calculations are based on the
spatio-temporal matrices of local (1 sq.m. scale) vegetation attributes
(e.g. total cover, richness, diversity, evenness), and the local
attributes of vegetation change (e.g. the temporal change of total cover,
the species turnover, rates of local immigration and extinction, and the
temporal changes of richness, diversity and evenness). These matrices are
tested against static null-models based on constrained randomizations
(e.g. Mantel test), and against spatially explicit dynamic null-models
(e.g. interacting particle systems and cellular automata). The resolution
and continuity of HMF data enable us to scale for both local and
patch-based rules, and for other cummulative effects. Rules have been
found in the form of spatio-temporal dependence, dominance hierarchy, and
dynamic boundary relationships in coenostate-spaces. Comparing to other
studies of assembly rules we found a considerable number of significant
constraints on coexistence that could be understood via decomposing the
community level patterns in the attributum-space into functional groups or
species, and via decomposing the stand-scale spatiotemporal pattern
in the topographical-space into spatial and temporal patch dynamics.
The production - diversity paradox: context dependent laws between
community attributes in secondary succession
S.Bartha, S.T.A.Pickett, and M.L.Cadenasso
It is well known that more productive habitats have relatively less
diverse vegetation (Grime 1979). Recently, the opposite relationship has
been described by Tilman (Tilman and Downing 1994, Tilman et al. 1996,
1997, cf. Tilman 1999) who found that diversity and productivity are
positively related. Cross-site comparisons and extensive surveys over
different biomes and different taxa showed all kinds of relationships, including positive, negative,
and neutral relationships (Waide et al. 1999). Our hypothesis is that
the relationship between diversity and productivity is context dependent and
can be understood on the bases of a spatially explicit non-equilibrium
community theory. Our results calculated from the HMF data showed that
within the same secondary successional process, positive, negative, or
neutral relationships between diversity and total cover of species can be
found in different (pioneer, early and intermediate) stages of succession.
Positive relationships are typical for simple, relatively homogeneous,
unsaturated stages. Negative relationships are typical for simple,
saturated stages, while the relationship is masked, i.e. become neutral
above a certain threshold of complexity and heterogeneity. Similarly, the
relationship between the change of total cover and diversity become
significant only in specific periods, after drought-induced temporal
collapse of total cover. More diverse plots recovered faster after serious
drought in the early stage of succession, in simple, homogenous vegetation
dominated by herbs. A similar relationship was revealed in the later stage in
complex, heterogeneous vegetation dominated by various life forms.
However, here the community level recovery has prolonged via lag effects.
The relationship of exotic species to diversity in old field succession.
S. J. Meiners
The invasion of plant communities by exotic species is a major concern
for ecologists and natural resource managers. A major limitation to
our knowledge of exotic species is the lack of long-term data on
invasions. The long-term data from the BSS is ideal for looking at
historical plant invasions to determine temporal patterns of invasion.
By understanding how invasions function over time, we will be better
able to assess and manage exotic plant invasions.
My research, funded by the USDA, focuses on the relationship of
exotic species to diversity in old field succession.
The goal of this research is to determine how exotic species
invasions are associated with community diversity. The diversity
of the plant community may be reduced by exotic plant invasions,
may regulate community invasibility, or both. Careful examination
of the historical data should help to determine which of these
mechanisms is operating. Experimental work will also test these
hypotheses, utilizing controlled plant introductions into fields
at HMFC.