
We began this research
in November 1994 funded by an LTER augmentation grant. The research
focused on two watersheds, Little Tennessee (LT) and French Broad
(FB) Rivers, because these offer a contrast in the pattern of land-use
change. LT retains large areas of forested land, while FB has a longer
history of forest fragmentation. By using aerial photographs to analyze
changes in land-use in this region over the past 5 decades, we have been
able to document significant differential disturbance related to landform
and topographic position. Prior to the mid- 1950s permanent vegetation
alteration was concentrated in low-elevation coves and flats and near urban
areas. Current disturbance is much more likely at mid-to higher-elevation
steeper sites, and farther from urban centers.
The regionalization research had
five specific objectives:
(1) Understand the role of fire in governing vegetation and C
cycling changes in the southern Appalachians since the late Pleistocene.
(2) Document the history of land cover change in the region during
the past 50 years.
(3) Identify and model economic and social factors structuring
landscape pattern.
(4) Document and model the ecological consequences of land cover
change for regional C pools and fluxes.
(5) Predict effects of land cover change on native
tree, herb, and bird assemblages and
on assemblages of stream benthic invertebrates and fishes.
Impacts of land-use change on regional C cycles
Summary: The impacts of land-use change on C budgets have been
determined by combining our small scale measurements with landscape-level C
budget modeling.
We established sites in 3 regions of the southern Appalachians (LT, FB
and southwestern Virginia) that are in early successional forest (<30 yr),
mature forest (80-150 yr), old-growth forest (>150 yr), and pasture (Figure
9). In forested sites, plots are located in cove, slope, and ridge
positions. At each site we have quantified carbon pools (soil, forest floor, and
plant), measured flux rates, and developed net ecosystem carbon budgets.
The results show that large differences exist in woody biomass pools among land-use types: e.g.,
woody biomass in the old growth forest is 2- to 8-fold greater than early
and mid-successional sites. Variation across topographic positions is also
evident, although of lesser magnitude than across land-use types. There are
also large differences in the distribution of biomass among species across
topographic positions. If there are large differences in respiration rate
among species, then species distribution could directly influence C balance
among and within land-use types. Therefore, we measured tree stem CO2 flux
attributable to both growth and maintenance respiration . Soil CO2 flux
measurements were greatest in June when soils were warmest and lowest in
early spring and late fall when soils were coolest. There appear
to be large differences in C cycling among land-use types. The roles of
litter and soil temperature, soil moisture, fine and coarse root mass, root
and soil N and C, and litter mass N and C that regulate these differences
have been analyzed (more).
Impacts of land-use change on terrestrial and aquatic
biodiversity
Vascular plant and bird diversity was sampled at 22 sites in
a study of the effects of forest fragmentation in the FB and LT basins.
Scott
Pearson and Monica Turner focused on the diversity of species across the
landscape in relation to land-use history. The impact of
fragmentation on species diversity was quantified in the field as well
as with a simulation model that incorporates both the landscape
pattern and the life history of the organism. Model results suggested that species
able to tolerate a high degree of habitat fragmentation had the highest
survivorship probabilities. Bird diversity
declined with forest patch size; however, patch size had no effect on plant
species richness, although it did affect community composition. Smaller patches have a greater proportion of edge species and a smaller
proportion of forest-interior species, although small patches still harbor
some forest interior species (Figure 11). A spatially explicit model has
been written to simulate population dynamics in landscapes with different
fragmentation patterns and is being used to explore interactions between
life-history strategies and landscape pattern (more).

We have also examined the effects of different land cover types on fish and aquatic invertebrate diversity and abundance and stream geomorphology in a
series of 24 small vs. large streams draining either agricultural or
forested watersheds in the FB and LT basins. The LT,
agricultural watersheds have higher fish diversities and densities
regardless of stream size. Agricultural sites are dominated by
drift-feeding fishes, whereas a greater diversity of foraging types are
represented in forested streams. Trout are found only in forested streams,
and sites with large numbers of trout have low diversities and densities of
other species. Adverse impacts of sediments on species composition are more
apparent in FB than LT sites. Invertebrate density in the LT does not differ
significantly among land-use types or stream size, although larger pasture
streams appear to have fewer taxa. There are no significant differences in
diversity indices, but there are fewer sensitive species (e.g. Plecoptera)
in pasture streams .
As more detailed data of
the land cover history of the area upstream of sample points has become
available from GIS projects, additional analyses of the stream data have
been possible. Recent results show that though significant differences exist in
the species assemblages between primarily forested and agricultural
drainage types, the history of the landscape may account for much of the
difference between sites within each type of drainage. For example,
findings suggest that forest re-generation within a catchment may
alleviate some negative effects of long-term agriculture, however recovery
of the species to its structure before the disturbances may take decades (more).
Regional Socioeconomic Research
Summary: The socioeconomic component seeks to determine and model social and economic
drivers of land-use change building on research already completed in the LT
basin (Turner et al., in press).
We selected 5 counties in the FB basin for
intensive study and have randomly located 100 sample blocks in
which to estimate the impact of social/economic conditions on land-use. The database in this
research contains typical GIS layers such as slope, elevation,
aspect, and land cover along with more socio-economic layers such as
building density, population distribution, and road systems. These data
have been summarized from sets of aerial photos and satellite imagery from
both the 1950's and the 1990's This forty year time period change has then
been used as a baseline, along with other socio-economic factors, to
predicting future land use change with predictions of population
distribution and land cover for the year 2030.
We have determined the accessibility of blocks to road systems and markets,
land values for differing land-uses, and ownership. Information on
production markets, transportation systems, second home development, and
site productivity also serve as variables in models of land-use change.
In
addition to quantifying the land-use change and population demographics of
the region, Theodore Gragson (Co-PI and Anthropologist at the University
of Georgia), has been brought on board to study and understand the
motivations for and values of land use for populations of both people
native to the Southern Appalachians as well as those that constitute the
large influx of new permanent and seasonal residents of the Southern
Appalachians. Rather than population growth and seasonal migration being strictly recent
phenomena (from retiree and vacation home construction), they may be a
repetition of a pattern set early in the population history of the Blue
Ridge Mountains. A settlement history from 1790 to the present for the 42
counties in northern Georgia, western North Carolina, and southwestern
Virginia comprising the cultural Blue Ridge has been developed from
archival census records and other information. For more information on how this research has progressed please visit our
current regional analyses on
land cover change and
socioeconomic drivers research.
To view all citations from
past research web page, please see our
past references page.
Previous (L-IB)