Rangelands are those areas of the world which by reason of physical
limitations - low and erratic precipitation, rough topography, poor drainage,
and/or cold temperatures - are unsuited to cultivation and which are a
source of forage for free-roaming native and domestic animals, as well as
a source of wood products, water and wildlife. They include grasslands,
shrub-steppe, desert scrub, savanna, open woodland, grazed forests,
mountain meadows, riparian areas,
wetlands and tundra. All areas of the world that are not
barren deserts, farmed, or covered by
bare soil, rock, ice, or concrete can be classified as rangelands
(Holechek et al 1995).
Rangeland supports different vegetation types including shrublands such as
deserts and chaparral, grasslands, steppes, woodlands, temporarily treeless
areas in forests, and whatever grows on land today, sandy, rocky, saline, or
wet soils, and steep topography for commercial
farm and timber crops. Rangeland vegetation may be naturally stable or
temporarily derived from other types of vegetation, especially following fire,
timber harvest, brush clearing, or abandonment from cultivation.
Weed and brush control, seeding and fertilization are
infrequently used practices on rangelands (Heady and Childs 1994).
The terms range and rangeland have often been misused in the sense that they
are often equated with livestock use and production alone.
An important distinction is that range is a kind of land with many uses - it
is not a land use. The multiple values of rangeland include forage for
domestic and wild animals, water, wood fuels, wildlife cover, and aesthetics.
Minerals are found on rangelands along with a variety of other products such
as botanochemicals. There are many competing uses for rangelands - uses that
are increasing with population growth, increasing urbanization and
interests in preservation.
Range management is a discipline and an art that skillfully applies an
organized body of knowledge accumulated by range science and practical
experience for two purposes: (1)protection, improvement and continued welfare
of the basic resources, which in many situations include soils, vegetation,
endangered plants and animals, wilderness, water, and historical sites;
and (2) optimum production of goods and service in combinations need by
society (Heady and Child 1994).
Range constitutes an important land based resource for several reasons,
the most important of which may be their wide distribution. About half of
the terrestrial land resource onthe globe can be classified as range. Thus
we are talking about a very extensive resource with relatively low biomass
productivity. These lands must be managed wisely because of the increased
demand for their products. Good management depends on careful inventory
and monitoring of the resources found on these lands. Remote sensing
possibly offers the onlyfeasible method for obtaining the information
necessary for their wise use and management.
The range management profession places emphasis on ecological understanding of the
following:
- Determining suitability of vegetation for multiple-uses
- Designing and implementing vegetation improvements
- Understanding social and economic effects of alternatives
- Controlling range pests and undesirable vegetation
- Determining multiple-use carrying capacities.
- Eliminating soil erosion and protecting soil stability
- Reclaiming soil and vegetation on disturbed areas
- Designing and controlling livestock grazing systems
- Coordinating activities with other range resource managers
- Protecting and maintaining environmental quality
- Mediating land-use conflicts
- Furnishing information to policy makers (Heady and Child 1994)
Figure 2 shows some of the relationships between
rangeland ecosystems and management (Joyce 1989).
The photographs and images associated with this module are designed to allow
the student to judge the usefulness of various forms of remote sensing to
assist with rangeland management activities. A physical-measurement
oriented list of range management activities that have some potential for
being accomplished by remote sensing techniques is found below.
- Inventory and classification or rangeland vegetation.
- Determination of carrying capacity of rangeland plant communities.
- Determination of the productivity of rangeland plant communities.
- Condition classification and trend monitoring.
- Determination of forage and browse utilization.
- Determination of range readiness (time to graze).
- Kind, class and breed of livestock using a range area.
- Measurement of watershed values including measurements of erosion.
- Making wildlife censuses and evaluations of rangelands for wildlife
habitat values.
- Evaluating the recreation use of rangelands.
- Judging and measuring the improvement potential of various range sites.
- Implementing intensive grazing management systems.
Table 1 suggests some of the scales of imagery useful for various rangeland
applications.
Table 1. Representative fraction scales of imagery used by rangeland resource managers with
suggested uses.
- Very Large Scale (obtained from helicopters, stationary towers,
cherry pickers)
- 1:100 - 1:500
- Species identification, including grasses and seedlings,
identification and measurement of erosion features, forage production
estimates, rodent activities in the surface soil, assessment of the amounts
of other surface features such as litter, wildlife habitat assessment.
- Large Scale
- 1:600 - 1:2,000
- Species measurements, erosion estimates over larger land areas, condition
and trend assessment, production and utilization estimates, wildlife habitat
assessment.
- Medium Scale
- 1:5,000 - 1:10,000
- Detailed vegetation mapping, condition and trend assessment,
production and utilization estimates, wildlife habitat assessment.
- Normal Scales
- 1:15,000 - 1:30,000
- Vegetation mapping at the habitat-type or ecological site level,
allotment management planning, planning for multiple use including wildlife
habitat assessment.
- Small Scale
- 1:30,000 - 1:80,000
- Planning for range management, vegetation and soil unit mapping on a
pasture or allotment basis, multiple use planning including
wildlife habitat mapping.
- Very Small Scale (orbital altitudes)
- 1:100,000 - 1:2,500,000
- Synoptic views for planning rangeland use, mapping large vegetation
zones covering large areas such as entire mountain ranges.
Notes - the first three scales have historically been obtained as
aerial photographs. In the future much of this imagery will be obtained as
multispectral airborne videography with submeter pixels and the analysis
and interpretation will be accomplished by image processing and GIS
(Tueller 1979).
While remote sensing cannot provide all of the data and management input to
these various rangeland activities, in many instances a considerable part of
the required information can be obtained. An important and natural starting
place for this consideration is to evaluate the capabilities of remote
sensing to assist in the identification, interpretation, classification and
inventory of the various range plant communities found around the world.
Vegetation mapping using photointerpretation procedures has been attempted
on rangelands in many parts of the world. There are numerous different
kinds of rangeland vegetation. Types vary from shrub-dominated cold desert
types, hot desert types, grassland and savannah and woodland savannah.
A cold desert sagebrush/grass vegetation type characterized by big sagebrush
(Artemisia tridentata tridentata) and Thurber's needlegrass
(Stipa thurberiana).
A hot desert vegetation type characterized by creosote bush (Larrea
tridentata) and bursage Ambrosia dumosa.
Also shown in large scale (1:600). Note the amount of bareground, the rocks
and gravel on the soil surface. The cresote bush are recognizable by the
near reddish tone and the irregular diffuse edges of the plants. The
bursage plants are more symmetrical, gray green in color with less
diffuse edges.
A species of grass in northern Australia. The dominant and almost only
species in the grassland is Mitchell grass (Astrebla pectinata).
Mapping success has generally been high especially if those creating the
map unit polygons were familiar with and had previously worked on the
ground studying the vegetation. Success is much lower if the photo
interpreter attempts to do this without the previous field experience.
Vegetation mapping using digital image processing has also been attempted
on rangelands with variable success (McGraw and Tueller 1983).
On many heterogeneous rangeland environments supervised classification
approaches have proved inadequate since the training sets do not adequately
represent the various range plant communities. Often the heterogeneity of
rangelands based on various soil types, land forms, latitudes, longitudes,
aspects, slopes, precipitation patterns and soil types has precluded the
obtaining of useful training sets for accurate classification.
Unsupervised classification procedures with a high level of interaction with
the interpreter have proven to be more valuable on rangelands. In this
case the interpreter is able to examine the classifications and determine
which spectral class or classes really represent the range plant community
of interest. In many cases intermediate-to-large scale aerial photography
can be used as ground data to determine classification accuracy.
Accuracies for many range vegetation maps can be between 75 and 95 percent
(McGraw and Tueller 1983).
Diurnal and seasonal variations often complicate image processing
classification interpretations (Wilson and Tueller 1987 and Oleson and
Tueller 1989). Time of year and time of day both strongly influence
the brightness values obtained by satellite and airborne videography.
The time of year is influence is often closely correlated with the
phenology of the vegetation. When the perennial range grasses are green
they give a much different spectral signature that when dry and mature.
The relatively large Landsat Thematic Mapper pixels (80m and 30m) tend to
preclude mapping with small minimum mapping units. Usually several
hundred acres must be mapped in each polygon. However, certain ecotones
between range plant communities can be easily identified at these resolution
levels. Small scale aerial photography generally has greater utility.
Figure 6
For example, examine Figure 6 - a NASA high altitude photograph with a
scale of about 1:110,000 although it varies considerably because of the
abrupt elevations changes in the Shoshone Mountain Range, central Nevada.
Note the readily identifiable ecotones between the pinyon-juniper woodland
and the big sagebrush grass vegetation and between the bright red riparian
zone vegetation along the Reese River in Nevada and the sagebrush grass
vegetation. Note the lighter toned areas that consist of areas where the
sagebrush/grass vegetation has been plowed under and seeded to perennial
grasses as a range improvement project. In the color infrared photographs
the big sagebrush vegetation appears quite blue since this species has very
low reflectivity in the infrared.
Figure 7
In Figure 7 you will also see the boundary between a perennial grass
seeding and the sagebrush/grass vegetation. This latter figure is a Landsat
Thematic Mapper scene with 30m pixels. This scene has sufficient
resolution for planning of an intensive grazing management system.
A range manager can determine where to place fences and gates for the
various pastures. The location of watering points can be used to establish
the protocol for the grazing management system. The meadows and stream
channel riparian vegetation are highly reflective in the infrared.
The first features to be mapped and inventoried at this scale are the basic
range plant communities. These can be defined in various ways. The
Natural Resources Conservation Service (NRCS) of the U.S. Department of
Agriculture maps the soil polygons and then describes the ecological sites
that are found associated with these polygons. The ecological sites were
originally called range sites and woodland sites but are now lumped under the general term
ecological sites. The ecological site is defined as a kind of land with
specific physical characteristics which differs from other kinds of land in
its ability to produce distinctive kinds and amounts of vegetation in its
response to management. In addition range managers define another important
management term, the Desired Plant Community. The Desired Plant community
is defined as follows: of the several plant communities that may occupy a
range site, the one that has been identified through a management plan to
best meet the plan's objectives for the site. For many years much of the
aerial photography for range, forest and soil mapping applications was
obtained at a representative fraction scale of 1:15,840 or exactly 4 inches
to the mile. Now, however, most the aerial photography, mostly in color
or colorinfrared, is obtained at a representative fraction scale of 1:24,000
designed to coincide with the USGS 7.5 minute topographic maps. This scale
of imagery is very useful for mapping range plant communities and features
of interest to rangeland management although in many cases larger scales
near 1:10,000 would be ideal for such mapping. However, the ease of
use and transference to both hard copy orthophotoquads of the same scale
make these products very useful for rangeland applications. In addition
the orthophotoquads are available in digital form for many rangeland areas.
The soils polygons from the NRCS soil surveys are also plotted on these
same orthophotoquads providing an additional important reference for
management of rangeland resources.
Figure 8A
Figure 8B
Figures 8a and 8b show the identification and mapping potential for range
plant community characterized with and overstory of Cliffrose
(Cowania stansburiana) with an understory of black sagebrush
(Artemisia nova). Figure 8a shows the 1:10,000 scale vertical aerial
photograph while 8b shows how this vegetation appears on the ground.
Note the pattern of the cliffrose and black sagebrush plants. By comparing
this image with the ground scene one can measure the relative proportions of
each species on the site. Cliffrose is an important winter browse for mule
deer and so it is important to determine its status over time since the
welfare of this species may influence deer populations.
Figure 9
Figure 9 shows a 1:500 scale aerial photograph where a fire has occurred in
the pinyon/juniper woodland. Such a resource management feature is quite
mappable at this scale. Note the darkened burned area on the left side of
the image. This imagery allows the range manager or range scientist to
examine vegetation patterns and the clumping of species groups or species
within the range plant community.
As the ecological sites on a rangeland area are identified and inventoried
there are a number of other features that must be identified and
inventoried, if possible, in order to provide good data in support of
range management. These include features such as fences and fence lines,
watering points, important topographic features that influence the movement
of domestic livestock and wildlife, rock outcrops, trails, and stream
courses.
The basic rangeland inventory, much of it obtained from various sources of
remote sensing, if done properly can serve as the first step in rangeland
monitoring. Rangeland management has historically required range surveys
to determine forage productivity and carrying capacity. This is still an
important consideration in many parts of the world. However, if initial
range surveys have been accomplished, either quantitatively or in a
qualitative sense, then the carrying capacity has often been determined
or set at some prescribed level. Most range managers include procedures
for monitoring. in their management plans. Is the set carrying capacity
proper and correct or is the level of grazing too low or too high? Is the
range improving or is it deteriorating? If too high then there is the
expectation that range deterioration is occurring due to overgrazing.
Monitoring is designed to determine if the grazing is proper or too intense.
Remote sensing has an important role to play in monitoring rangeland
vegetation and soil characteristics.
Monitoring vegetation and soil conditions is an essential element
of good range management. Because of limited funds and personnel for
monitoring large expanses, ground-based monitoring is rarely possible
on a regular basis. Multitemporal aerial photography or videography or
digital images of various scales can provide an efficient means of
recording both long- term (years or decades) and short-term
(daily or seasonal) changes. The permanent record provided by images
becomes an important element in range condition studies (Tueller 1978).
Range condition and trend are important concepts that must be understood
relative to the question of rangeland monitoring. Range Condition
refers to a set of characteristics of the rangeland plant community
relative to forage production, soil quality, topography and a specific plant
species composition as related to some standard (Tueller 1991). It is
how we wish the range to appear.
Range Trend refers to changes in the rangeland vegetation and
soils, or plant succession on rangelands. Vegetation succession is often
a predictable process. Monitoring of the rangeland vegetation presupposes
that managers can describe and predict successional stages or seres based
upon species reactions to specific natural or man-caused disturbances.
Many methods, both objective and subjective, have been developed. A
large number of them are both conceptually and statistically very sound
while others lack soundness. The cost of objectivity is high while the
cost for subjective methods is lower. Therefore, vegetation monitoring
must be a practical trade off between cost and subjectivity. Remote
sensing provides one possible techniques for narrowing the gap between
objective and subjective measurement of range trend over large expanses
of rangelands (Tueller 1995).
Base line data can be acquired from some combination of both ground and
remotely sensed data. In the past this has often involved the use of
point samples on the ground using various kinds of measurement techniques
to quantify the vegetation followed by extrapolation of the data from these
points to larger expanses of rangelands. After the base line sample has
been obtained then subsequent sets of ground and remotely sensed data can
measure range trend and provide evidence for range managers that the trend
is either upward, downward or stable. If the trend is downward then the
range manager can reduce livestock numbers, instigate more uniform
grazing practice by fencing, herding, or developing new watering points,
or develop an intensive grazing management system involving appropriate
combinations of rest, rotation and deferment.
Vegetation changes of a general kind can be measured using satellite
images or large scale photography.. An example is the ability to
document the occurrence of wildfire sites over large areas. For example,
a study of 11 NASA high altitude color infrared photographs determined that
the burn size varied from 26.8 to 113.2 acres in size. Perimeters for
these burns varied from 0.9 to 10.9 miles in length, creating new ecotones.
Recent burns covered only 1.9 percent of the total area (Tueller, 1992).
Burns become obscured as the vegetation changes and must be examined on
recent imagery, say every three to five years for successfully determining
the rate and extent of wildfires on rangelands.
Range managers often use piospheres (watering points) or fence lines
between landscapes with different stocking rates and/or range management
practices. These sites can provide validation sites to extrapolate
remotely sensed data to sites not examined in the field. This is of great
importance due to the extensive nature of rangeland resources around the
world.
Figure 10A
Figure 10B
Figure 10a shows a typical fenceline comparison involving an area on the
right of the fence that has been overgrazed because of a combination of
legally permitted livestock plus wildhorses whereas on the left the area
has been grazed by cattle only. Such comparisons can serve to allow proper
interpretation of remotely sensed data by qualified rangeland resource
managers (Tueller 1991 and 1995).
Often range managers use various procedures to calibrate the use of large
scale/near earth imagery for evaluating vegetation changes on rangelands.
Figure 10a shows a fence line in the Great Basin salt desert shrub vegetation
that has been heavily grazed on the right hand side and more judiciously
grazed on the left.
Figure 11A
Figure 11a is an oblique showing another calibration technique where
measurements are made at regular distances outward from a rangeland
watering point. Near the watering point the vegetation is made up mostly
of annual weedy species such as cheatgrass (Bromus tectorum), and mustard
(Descurania sp.) and unpalatable shrubs such as green rabbitbrush.
(Chrysothamnus naseosus)
Figure 11B
Figure 11C
Outward several miles from the watering point the range is in excellent
condition. Figure 11C shows what the range appears like at 6 miles from
the watering point. Here there are few weedy annuals and the range is in
excellent condition with an overstory of big sagebrush (Artemisia tridentata)
and several perennial grasses, bluebunch wheatgrass (Agropyron spicatum)
being the dominant. These differences when validated on the ground with
minimal sampling can be detected and measured on various scales of imagery.
Figure 12A
Figure 12B
Both aerial photography (Figure 12a;1:800) and aerial videography
(Figure 12b;0.7m pixels) provide a means of measuring vegetation
changes on rangelands. Aerial photography provides higher resolution
and greater clarity. However, aerial multispectral videography with
submeter pixels are slowly improving and will likely be the procedure of
choice for many future rangeland applications.
Good management of rangeland resources requires that the range is evenly
grazed over large areas. The distribution and timing of grazing is
necessary for the implementation of useful intensive grazing management
systems. Large scale images (1:60,000 to 1:150,000) are useful
for the development of such systems. Useful intensive grazing management
systems normally involve concepts of rest, rotation and deferment of
grazing use spread over several pastures or paddocks (Fig. 7). The general
lay of the land, the plant communities, topography, fences or required
fences and necessary watering points can be examined on various kinds of
imagery either hard copy or digitally via an image processing system.
One can identify and interpret those management features available on the
landscape or determine those that should be developed and specified for
use in a grazing management system.
For short term rangeland monitoring and for assessing the success of
intensive grazing management systems it is necessary to periodically
evaluate the forage utilization on portions of pastures or grazing
allotments. This is mostly done on the ground by laying out cages to
protect the grasses and forbs from grazing. Then at the end of the grazing
season these plants are harvested and comparison made with grazed sites of
the same size to determine the level of utilization. The idea is to
implement the same grazing intensity over all portions of the pasture or
allotment. There is also the need to determine that specific pastures in
an intensive grazing management system have been utilized to a certain level.
Figure 13
Figure 13 shows how cages are used to measure utilization on the ground.
The grazed sites can be calibrated with appropriate imagery to show which
areas of the range have been grazed to certain levels.
Various kinds of remotely sensed data can be used singly or in concert
with one another or with other kinds of ancillary data to provide input
to range management.
Conventional aerial photography at
resources scales (1:10,000 - 1:24,000) will continue to be used along with
new image processing systems/algorithms, digitized satellite images,
airborne multispectral videography, and hyperspectral remote sensing.
These images and data acquired from them will be used by trained rangeland
resource managers to supplement the information required for good range
management. Maps will tend to give way more and more to layers in
Geographic Information Systems, and Geographic Positioning Systems (GPS)
will be routinelym used for accurate and rapid georeferencing. As the
remotely sensed and other data sets become more commonplace they will be
used in various analysis procedures within the GIS framework to provide
useful, and when necessary, real-time information to those managing
the world's rangelands. Rangeland resource managers should become
familiar with and keep up with new remote sensing technologies in
order to utilize them for good rangeland resources management.
This module and exercises were written by Paul T. Tueller, Department
of Environmental and Resource Sciences, University of Nevada Reno.
TIF files and graphic editing by Andy Yuan.
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