Project Overview
"Geographic Accessibility and Site Suitability: Factors Influencing
Settlement Patterns and their Sustainability in the Ecuadorian Amazon"
Stephen J. Walsh
Carolina Population Center
Department of Geography
University of North Carolina-Chapel Hill
1998-1999
(1) INTRODUCTION
In the currently funded NASA project (1998-2001), "Agricultural
Colonization in the Ecuadorian Amazon: Population, Biophysical, and Geographical Factors
Affecting Landuse/Landcover Change and Landscape Structure," R.E. Bilsborrow and S.J.
Walsh, Co-PIs, examine the human and biophysical dimensions of landuse and landcover
change (LULCC) associated with spontaneous agricultural colonization in northeastern
Ecuador. A satellite time-series of landuse/landcover (LULC) change and GIS thematic
coverages of biophysical gradients and spatial patterns are linked to a scientific
population sample of georeferenced farmhouse data on LULC and socio-economic
characteristics at the household-level for 1990 and 1999. Image processing for LULC
characterization and spatial analyses of landscape structure will be used to assess the
rate and nature of LULCC and to model the effects of LULC, secondary plant succession, and
land fragmentation on carbon budgets and assimilation rates for specific landscape strata
and study area locations. Statistical models will be used to estimate the demographic,
socio-economic, biophysical, and geographical determinants of farm and community-level
LULCC. The degree of agricultural extensificaton and intensification and rates of
deforestation will be documented at the household or finca level, the sector or community
level, and the regional level. The research combines social science survey methods with
environmental modeling, landscape ecology, and human ecology in a GIS to increase the
understanding of LULC dynamics and the forces influencing deforestation.
The overall goals of this newly proposed research, while rooted in the
ongoing NASA work, are distinct in a number of important ways, and can be summarized as
follows: (1) explore additional population-environment relationships in northeastern
Ecuador by considering the influence of environmental site suitability and geographic
accessibility on the sustainability of household farms and the development of adaptive
strategies by household members to increase their absolute and relative advantage for
economic viability in the face of a diminishing resource base and a remote and
disconnected geographic location; (2) examine the differences in the spatial extent, size,
and geographic pattern of land clearings and related landscape disturbances associated
with spontaneous settlers and indigenous people by studying two selected pilot areas
within northeastern Ecuador, Yasuni and Cuyabeno, and by characterizing the dominant
landuse/landcover types, plant communities, and land clearings that surround the Yasuni
National Park and the Cuyabeno Faunal Reserve. These national conservation areas overlap
with oil exploration and agricultural settlement areas, as well as known indigenous tribal
reserves; (3) train members of EcoCiencia, an Ecuadorian organization participating in the
NASA research, in the collection, processing, and interpretation of spatially-explicit
environmental and population data and their integration through GIS approaches; and (4)
develop a pilot database through additional data collection and processing to support a
set of hypotheses, revised and articulated through this proposed research, to serve as the
basis for subsequent proposals.
The GIS database, satellite time-series, and the population surveys
developed to support the NASA-funded research will underpin this newly proposed
initiative, but they will be augmented by additionally collected data and separate
analyses to explore new areas of scientific inquiry that effectively leverage the
developed informational infrastructure and knowledge-base into additional hypotheses
framed and beta-tested through this pilot research to respond to forthcoming proposals
that are being considered for NASA, NSF, and NIH.
(2) Purpose and Significance
The objectives of this research are to examine relationships in
selected pilot areas in northeastern Ecuador, Yasuni and Cuyabeno, related to the broader
area of concern, population and the environment, by assessing the sustainability of
household farms or fincas as a consequence of (a) site suitability of household farms for
agriculture and the related environmental degradation of lands through decreasing soil
fertility as a consequence of cultivation and associated agroforestry, (b) variation in
the nature of land clearings and in the definition of site suitability and sustainability
as a consequence of landuse practices associated with indigenous peoples versus
spontaneous settlers; and (c) geographic accessibility of farms or fincas to centers of
supply and demand by taking into account geographic location, measures of impedance (e.g.
Euclidean distance and route distance), and spatial interactions with other fincas and
elements of the local and regional community (e.g. towns, clinics, churches, and schools).
Each of these research objectives offer the opportunity to expand the existing NASA grant
into collateral areas of study that remain rooted in the ongoing NASA research but depart
from it in significant theoretical and methodological ways.
The hypotheses that shape the above research objectives, respectively,
state that (a) environmental site conditions (e.g. soils and topography) vary within a
three-dimensional matrix (i.e. x, y, and z dimensions) that produces a comparative
advantage or disadvantage for subsistence and commercial cultivation. But, because of the
declining soil fertility in tropical environments associated with sustained agriculture
and exacerbated by poor initial site conditions and continuous cultivation, environmental
degradation results over time thereby requiring adaptive strategies by households to
maintain their economic viability. Such strategies may include crop rotation, land
conversion (e.g. cycle of landuse initiated by deforestation of primary forest and
conversion to cropland, then to pasture, and then back to forest through secondary plant
succession), intensification, labor-sharing, and land abandonment, sale, or subdivision;
(b) the spatial imprint of settlement on the landscape varies as a function of culture and
ethnicity, subsistence or commercial cultivation, crop types grown, resource endowments,
size of land-holding, and social and environmental policy among other factors. Areas
bordering conservation areas will be examined relative to indigenous land-clearing
patterns versus spontaneous settler patterns by emphasizing differences in landuse types,
forest cover-types, and characteristics of land clearings. Indigenous people are more
likely to produce land-clearings of a smaller size, alter the biodiversity of the forest
to a lesser extent, and generate less of a geographic reach on the landscape resulting in
a less consolidated and clustered distribution occupying a more limited areal extent; (c)
geographic accessibility of farms or fincas has undergone a change since 1990 because of
the expansion and improvement of the road network within the region. New roads have
altered the calculus of geographic isolation or remoteness by altering the comparative
advantage of sites through improved access. Fincas initially located away from roads were
regarded as less valuable, fincas adjacent to roads were considered more valuable, and
land parcels within fincas that were positioned adjacent to existing roads exhibited a
comparative advantage and inherent locational worth and therefore were initially developed
through deforestation and subsequent cultivation. Since 1990, new roads were developed,
existing roads improved, and new points of economic opportunity, such as towns, were
developed that changed the accessibility equilibrium and hence altered the pattern of
deforestation and the nature of agricultural extensification and intensification at the
household-level in these newly accessible sites. In addition, new sectors (i.e. a
collection of household fincas) have been developed since 1990 that are now associated
through geographic accessibility via the current road network. Fincas and sectors
developed since 1990 are not part of the NASA-related social survey. Therefore, this study
will also collect basic geographic and landscape information on "new" sectors
and their corresponding fincas since 1990. Their topologic relationships to 1990 sectors
and their individual household fincas, community features, and road network will also be
assessed.
Satellite imagery, a GIS database, and on-site data collection,
geographically referenced through global positioning system (GPS) technology, will be used
to address the above issues. Satellite data have been successfully used to compare
patterns of LULC influenced by local factors, population characteristics, and exogenous
considerations. Among the factors that have been assessed include settlement history
(Allen and Barnes, 1985), population size and distance to the nearest market-place
(Behrens et al. 1994), socio-economic and cultural differences within the population
(Moran and Brondizio, 1998), and landscape organization of LULC patterns (Walsh et al.
1998). The intensification of LULC also has been found to be associated with greater
deforestation and a more heterogeneous landscape (Dale et al., 1993). They argue that
deforestation is a socio-economic process that can be studied through social data
collected on-site, spatially-explicit data on soils and vegetation, and models that link
socio-economic and ecological processes. Explicit is the integration of spatial analytical
tools to configure data for compatibility, assess landscape change through a remote
sensing time-series, and perform spatial analyses of landscape form and function.
Often the missing part of the equation in this type of analysis is the
linking of deforestation to the plot level. In the NASA research, individual households
sampled in 1990 will be revisited in 1999. The sampled households and their associated
lands are spatially referenced within a GIS. In this proposed research, landuse/landcover
change associated with indigenous lands will be spatially referenced through satellite
data, site conditions of spontaneous settlers are documented at geographically referenced
fincas, roads are also place within the same geographic reference system, and the 1999
road updated and also spatially referenced. In short, the research, both the NASA work and
this newly proposed research, operates within a spatial context that places landscape
elements and social data within a co-registered framework sensitive to spatial and
thematic inquiries operating at fine and coarse grains.
Political ecology, human, ecology, and landscape ecology offer a
theoretical context to this research, respectively, by considering deforestation in the
context of larger social, economic, and political relations (OBrien, 1997);
recognizing that important feedbacks exist between people and the environment (Bilsborrow
and Geores, 1992); and associating landscape form or pattern to landscape function by
integrating social, biophysical, and spatial domains whose effects are scale dependent
(Walsh et al., in press).
(3) Study Area
As described by Bilsborrow and Walsh in their 1998 NASA proposal, the
northeastern Ecuadorian Amazon basin is comprised of five provinces: Napo, Sucumbios,
Pastaza, Morona Santiago, and Zamora Chinchipe. Within this region, the population is
overwhelmingly rural and consists largely of migrant settlers that are characterized with
high fertility and high mortality levels. In 1990, the census population for the region
was reported at 371,000 of which nearly three-quarters were rural. The region also
continues to experience a high rate of population growth, over 5% per year in the last
intercensal period, 1982-90, double that of the country as a whole. Almost one-half of its
population was born outside the region, two-thirds coming from the Sierra, and most since
the mid-1970s. Small farm households are considered the primary driving force of
conversion of primary tropical forest to other land uses. Government policies have
encouraged this migration, as the Amazon region has been perceived as an area with almost
infinite space and resources.
Access to the northern Amazon was initially made possible by the
petroleum boom, which began in the early 1970s and led to road construction to support
petroleum exploration and extraction. Access and land occupation in Napo and Sucumbios
provinces have been in part by-products of petroleum production. Migrants follow the new
roads into the region, which lead to the major towns in the study site -- Lago Agrio,
Coca, and Shushufindi, occupying lands along the roads in a landuse pattern known as
respaldos, layers of landholdings developed parallel to the main road. The first migrants
tended to occupy the first layer, or linea (line) along the road; subsequent settlers
occupied lines increasingly farther from the road. This process has continued up to 14
respaldos in the 1990 population survey area, though two to five is far more common.
Land quality and soil type vary widely across the sampled fincas: 46
percent of the settlers farm what they reported to be good soil; another 24 percent farm
acidic soils of low fertility; 5 percent farm lowland alluvial soils with poor drainage;
and 25 percent farm a combination of soils. Two-thirds of the farmers surveyed in 1990
reported declines in yields on their plots during their time in the Amazon. The
sedimentary soils that predominant throughout the study area are of low natural fertility
and experience a rapid decline of nutrients with use. In addition, the structure of the
soil is easily compromised when subjected to disturbances associated with cultivation.
Due to the lack of a dry season and high annual precipitation (2,800
mm/year) in Ecuador, the slash-and-mulch system is a rational adaptation and differs from
that of most other Amazon frontier regions. The polyculture system integrates annual crops
such as corn and rice; semi-perennials such as plantains, bananas, and yucca; and tree
cash crops such as coffee and cacao. Eighty-five percent of the households surveyed in
1990 marketed some crops, mostly coffee.
(4) Research Design
(A) Site Suitability
Previously collected GIS coverages of water and transportation
networks, terrain characteristics, soil conditions, and the like will be linked to the
satellite data to ascertain the site conditions associated with individual household
farms. In short, each household will be assessed relative to land suitability
characteristics for agriculture. Site suitability indices will be developed at the
household and sector levels that integrate soil conditions (e.g. fertility levels),
terrain characteristics (e.g. upland versus lowland topography), hydrographic features
(e.g. surface water accessibility and the spatial variability in soil moisture
conditions), and landuse/landcover types. Continuous surfaces of environmental factors,
developed in the GIS to support the NASA-funded research, will be used along with
satellite-derived measures of landuse and landcover for 1998.
Because of the nature of soil conditions, agricultural practices are
subject to the cycling of crop types as a consequence of a relatively rapid declining soil
fertility. Immediately following deforestation, soil fertility is relatively high, but
after approximately 5-7 years the soil fertility is substantially reduced necessitating
shifts in crop type to less demand types. Market conditions for crops, soil fertility
reduction curves, and the cost and availability of agricultural inputs particularly
fertilizer collectively influence decisions related to initial plantings following
deforestation and the possible change in cropping patterns with time for economic
sustainability. In most situations, crop rotation includes a fallow period or a return to
forest through secondary plant succession. Satellite digital data will be manipulated
through vegetation indices (e.g. the normalized difference vegetation index) to assess the
relative differences in plant biomass across space and time associated with land clearings
and deforestation; land classifications of cover types and their changes through time will
also be derived. Absolute measures of plant biomass can be developed by linking spectral
responses from the satellite to measured (or reported) or estimated yields at specific
land parcels. The site suitability index will be derived through multiple regression
techniques and validated through direct landscape observation and site measurements,
referenced in space through GPS technology.
(B) Indigenous People and Land Patterns
Satellite data sets will be used to examine the spatial imprint
of land activities associated with indigenous peoples located adjacent to two national
conservation reserves and compared to land patterns associated with spontaneous settlers
within the same general locale. A satellite time-series will be used to examine spatial
shifts in land clearings, the nature of the land clearings, and the sustainability of
those clearings over time and space. On-site field data will document the types of
land-uses practiced by both groups and their spatial and compositional characteristics.
Ground control data will be collected to validate the satellite image interpretations. GPS
technology will be used to spatially reference the land clearings, landuse types, and
plant community types for accuracy assessment of the satellite image processing.
(C) Geographic Accessibility
Below briefly describes how accessibility will be examined within a
spatially-explicit framework of a GIS. Road segments added to the network will be updated
through remote sensing techniques, and road type changes will be assessed in the field and
through remote sensing techniques. Community features (e.g. point locations of town
centroids, churches, schools) will be captured in the field through GPS technology.
- Euclidean Distance: Euclidean distance is the straight-line or "crow-fly"
distance between target and receptor. It assumes that the surface being traversed is
isotropic or frictionless where movement is equal in all directions. Typically, radial
buffers are generated around facilities (the receptor) and distance calculations are
computed to each household (the target). Cartographic distances are converted to
geographic distances through simple transformations.
- Road Network Distance: Road network distance assumes that movement from households to
facilities is constrained by the existing transportation network. A routing algorithm is
used to optimize for distance between the defined target and receptor, and distance is
computed along the road network. Specific roads can be "closed" to the routing
to accommodate constraints to travel due to seasonality, surface type, and or intervening
opportunities.
- Network Travel Time: The road coverage encoded into the GIS will have roads classified
by type (e.g. primary and secondary). Travel speeds for the each of the road types will be
estimated and assigned to each road segment within the GIS. Distances can be computed
between target household and the receptor facility by (a) calculating the time associated
with the most direct route, (b) time associated with travel through an optimization
approach to minimize travel times by routing through a combination of road types that
yield the greatest speed and hence the lowest travel time, and (c) routing travel through
a road network where roads segments are closed (by altering the travel speed weights of
selected road types or specific road segments) as a consequence of seasonality, time of
day, or year.
- Accessibility and Isolation: The transportation road network is a hierarchy of road
types that range from gravel roads to all weather roads. Along this hierarchy, travel
speeds vary according to road type and condition. Along this road network, the population
is distributed through direct and indirect connections, where the road network provides a
spatial linkage between targets and receptors through the creation of an accessibility
pathway for moving people and resources between places. Central to this hierarchy is the
awareness that roads influence the degree of accessibility and/or isolation of people to
services. Imagine two households with varying degree of accessibility, one in which their
gravel road connects to a second gravel road that connects to a primary road as the
pathway of movement from a household to a town. In a second case, a gravel road connects
to an all weather road as the pathway of connection from a household to a town. The number
and type of roads that are connected and traversed to travel from a household to a town
can be used as a measure of accessibility with low values indicating isolation and high
values indicating accessibility. An index of accessibility can be generated for each
household to the closest town by using the road network within the GIS database. An Index
will be computed by (a) assigning weights to each road type indicating the efficacy of
travel (e.g. paved versus gravel), (b) tabulating the nature of connections between road
types (e.g. gravel to paved) along the network being traversed between household and town
for the most direct route and the distance/travel time optimization route, (c) deriving a
composite score for each household relative to its geographic position, connection of
roads within the network hierarchy, and the location of towns and other important
community sites.