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Fearnside, P.M. 2001. South
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ECOSYSTEMS OF
SOUTH AMERICA: STATUS AND THREATS
Philip M. Fearnside
Department of Ecology
National Institute for
Research
in the Amazon (INPA)
Av. André Araújo, 1756
C.P. 478
69011-970
Manaus, Amazonas
BRAZIL
Fax:
55-92-642-8909
Tel:
55-92-643-1822
e-mail
pmfearn@inpa.gov.br
Contribution for:
S.A. Levin (ed.) Encyclopedia of Biodiversity. Academic Press, San
Diego, California.
30 Sept. 1999
27 Nov. 1999
17 dec. 1999
ECOSYSTEMS OF
SOUTH AMERICA: STATUS AND THREATS
Philip M.
Fearnside
National
Institute for Research in the Amazon (INPA), Manaus, Brazil
I. ORIGINAL EXTENT OF TERRESTRIAL ECOSYSTEMS
II. PRESENT EXTENT OF TERRESTRIAL ECOSYSTEMS
III. HUMAN USE OF CONVERTED AREAS
IV. HUMAN USE OF REMAINING NATURAL HABITATS
V. THREATS TO REMAINING NATURAL HABITATS
VI. STATUS OF PROTECTED AREAS
VII. PRIORITIES FOR CONSERVATION
GLOSSARY
Ecosystem: A set
of interacting living and nonliving components in a defined geographic space. Ecosystems
include both plant and animal communities and the soil, water and other
physical elements of their environment.
Bioregion: One of
six biogeographic divisions of South America consisting of contiguous
ecoregions. Bioregions are delimited to better address the biogeographic
distinctiveness of ecoregions.
Ecoregion: A
geographically distinct assemblage of natural communities that share a large
majority of their species and ecological dynamics, share similar environmental
conditions, and interact ecologically in ways that are critical for their
long-term persistence.
Major Ecosystem
Type: Groups of ecoregions that share minimum area requirements for
conservation, response characteristics to major disturbance, and similar levels
of beta diversity (i.e., the rate of species turnover with distance).
Major Habitat
Type: Groups of ecoregions that have similar general structure, climatic
regimes, major ecological processes, beta diversity, and flora and fauna with
similar guild structures and life histories.
The term
“ecoregion,” as used in this article, refers to “natural” ecological systems,
or terrestrial and aquatic areas as they were when Europeans first arrived in
the New World. The original extent of natural ecoregions is presented, grouped
by bioregion, major habitat type and major ecosystem type. The definitions of
these terms, given in the glossary above, are taken from Dinerstein et al.
(1995); the rating codes are given in the footnotes to the table. Indications
of the extent of remaining natural ecosystems, the threats to their continued
existence, and the status of protected areas are discussed, together with
priorities for conservation.
I. ORIGINAL EXTENT OF TERRESTRIAL ECOSYSTEMS
Ecosystems can be
classified in many ways, making the number of categories vary widely depending
on the use intended. Here, the system adopted by Dinerstein et al.
(1995) is used. This divides the continent into 95 terrestrial “ecoregions,”
exclusive of mangroves. These are grouped into four “major ecosystem types:”
tropical broadleaf forests, conifer/temperate broadleaf forests,
grasslands/savannas/shrublands, and xeric formations. Within each of these
categories are varying numbers of “major habitat types,” such as tropical moist
broadleaf forests. These are further divided into nine “bioregions” Amazonian
tropical moist forests, for example, is a bioregion.
The 95
ecoregions, with their hierarchical groupings, are presented in Table I. Also
included are the ratings for conservation status, biological distinctiveness
and biodiversity priority derived by Dinerstein et al. (1995). This
study made a systematic survey of the status of natural ecosystems in Latin
America and the Caribbean (LAC) and applied a uniform methodology to assigning
priorities to these ecosystems for conservation efforts. The work was done for
the United States Agency for International Development (USAID) by the WWF-US
Biodiversity Support Program (BSP). The document is based on three workshops,
plus consultations with relevant organizations and individual experts (the list
of contributors contains 178 names).
[Table I here]
The
classification system is hierarchical, starting with four "major ecosystem
types" (eg. Tropical Broadleaf Forests), which are divided into 10
"major habitat types" (eg. Tropical Moist Broadleaf Forests). These
are crossed with six bioregions (eg. Amazonia) and divided into 95 ecoregions
(eg. Rondônia/Mato Grosso moist forests). The system allows the priority of
some ecoregions to be promoted upward based on uniqueness and regional
representation, even if indicators of diversity and vulnerability are not so
high.
The effort was
unusual in emphasizing protection of areas with high beta diversity (a measure
of the turnover of species along ecological gradients), as well as the more
commonly used alpha diversity (species diversity within a habitat). In the case
of mangroves, the diversity assessed is ecosystem diversity, including aquatic
animal life. This avoids mangroves receiving the unjustly low diversity ratings
that tend to result when assessments are restrained to terrestrial organisms,
especially trees.
Although the
ecoregions identified in Table I refer to “natural” (pre-Colombian) ecosystems,
it should be emphasized that these had already been subject to millenia of
influence by indigenous peoples prior to the arrival of Europeans. This
influence continues today, together with much more rapid alterations from such
activities as deforestation and logging done by non-indigenous residents.
“South America” is taken to include the three Guianas (different from usage by
the Food and Agriculture Organization of the United Nations-FAO) and to exclude
Panama (however, in the case of ecoregions that extend into Panama, the area
estimates in Table 1 include the Panamanian portions). The ecoregions are
mapped in Figure 1. The ecoregion numbering corresponds to Table 1, and also to
the report by Dinerstein et al. (1995); the numbering presented here is
not continuous, since the report also includes ecoregions in Mexico, Central
America and the Caribbean. Extensive bibliographic material on the delimitation
of the ecoregions and on the state of knowledge about them can be found in
Dinerstein et al. (1995).
[Figure 1 here]
Mangroves occur along
the coasts of Brazil, the three Guianas, Venezuela, Colombia, Ecuador and
northern Peru. Dinerstein et al. (1995) divide them into five complexes:
Pacific South America, Continental Caribbean, Amazon-Orinoco-Maranhão,
Northeast Brazil and Southeast Brazil. Each complex is further subdivided into
2-5 units, corresponding to distinct segments of coastline. Mangroves are
essential to maintaining populations and ecological processes in surrounding
marine, freshwater and terrestrial ecosystems.
II. PRESENT EXTENT OF TERRESTRIAL ECOSYSTEMS
Unfortunately,
information is not available on the present extent of each of the 95 ecoregions
listed in Table I. Information on the extent of tropical forests in
approximately 1990 is available from the FAO Tropical Forest Resources Survey
(FAO, 1993). Non-tropical areas are covered by a variety of national surveys
(Harcourt and Sayer, 1996). These data are tabulated by country in Table II.
National data are important because decisions regarding land-use policies and conservation
are taken at the national level – not at the levels of bioregions or ecosystem
types. Over half of the South American continent is represented by a single
country: Brazil (Fig. 2).
[Table II and Figure 2 here]
An idea of the
extent of existing ecosystems can be gained from measurements of land cover in
1988 made using 1 ´ 1 km-resolution
data from the AVHRR sensor on the NOAA satellite series (Stone et al.,
1994). These are given in Figure 3 and are tabulated in Table III.
[Figure 3 and Table III here]
It should be
emphasized that many ecosystems can be heavily disturbed by logging and other
activities without the change being evident on satellite imagery. This is true
for LANDSAT-TM imagery (30 ´ 30-m resolution)
used for deforestation estimates in Brazil, and the limitations are much
greater for 1 ´ 1-km AVHRR data.
Brazil is the
country with the most extensive satellite information on forest cover and its
loss. Unfortunately, information on non-forest vegetation types such as cerrado
is much less complete. Considerable confusion arises between the FAO (1993)
classification and others such as the one adopted here because FAO classifies
cerrado, caatinga and chaco as “forests.”
Brazil’s Legal
Amazon region originally had 4 million km2 of forests, the rest
being cerrado and other types of savannas. Agricultural advance was slow until
recent decades because of human diseases (especially yellow fever and malaria),
infertile soil and vast distances to markets. These barriers have progressively
crumbled, although a range of limiting factors restricts the extent and the
duration over which many uses of deforested areas can be maintained (Fearnside,
1997a). Deforestation in the region has been predominantly for cattle pasture,
with critical contributions to the motivations for the transformation coming
from the role of clearing as a means of establishing land tenure and in
allowing land to be held and sold for speculative purposes (Fearnside, 1993).
The Atlantic
forests of Brazil (ecoregions 54 and 55) have been almost completely (>95%)
destroyed, mainly for agriculture, silviculture and real-estate development.
Most of what remains of this extraordinarily rich ecosystem is in protected
areas, but unprotected areas continue in rapid retreat. These forests are
recognized as major “hotspots” of biodiversity (Heywood and Watson, 1995; Stotz
et al., 1996).
In Andean
countries, clearing by small farmers has predominated in driving deforestation,
in contrast to the predominant role of medium and large cattle ranchers in
Brazil. Migration from densely populated areas in the Andean highlands (altiplano)
has led to settlement in lowland forests areas, with consequent upsurges in
clearing (eg., Rudel and Horowitz, 1993).
Savanna
ecosystems have suffered heavy human pressure. The pampas of Argentina, and the
Uruguayan savannas of Uruguay and southern Brazil (ecoregions 120 and 121) have
largely been converted to agriculture. The Brazilian cerrado, originally
covering 2 million km2, is the largest ecoregion in South America,
as well as holding the largest number of species of any of the world’s
savannas. The cerrado was largely intact until the mid-1970s. Clearing,
especially for soybeans and planted pasture, reduced the cerrado to 65% of its
original area by 1993 according to LANDSAT imagery interpreted by Brazil’s
National Institute for Space Research (INPE). The advance of clearing has
proceeded at an accelerating pace, speeded by infrastructure projects and an
array of government subsidies.
The temperate and
coniferous forests of the Southern Cone have been under severe pressure from
logging. These forests are usually logged by clearcutting in a manner similar
to their counterparts in the North American temperate zone. This contrasts with
the “selective” logging (highgrading for a few species) that characterizes
timber extraction from the diverse forests of the tropical region.
III. HUMAN USE OF CONVERTED AREAS
Conversion of
natural ecosystems to agroecosystems and secondary forests creates landscapes that
maintain biodiversity to varying degrees. “Shifting cultivation” as practiced
by indigenous peoples and by traditional non-indigenous residents (caboclos)
in Amazonian forests maintains a substantial part of the original biodiversity.
This contrasts with the effect of the vast expanses of cattle pasture that have
replaced this, either directly or following a phase of use in pioneer
agriculture by small farmers who have recently arrived from other places.
In densely
settled areas along the coast of Brazil and in the southern portions of the
country, agricultural use has gone through a series of “cycles,” such as
sugarcane and coffee. The productivity of many areas has been damaged by soil
erosion and other forms of degradation. Cattle pasture is often the land use
replacing these crops. Since the 1970s, plantation silviculture (which now
covers over 70,000 km2) and soybeans (130,000 km2) have
made large advances.
In Argentina and
Uruguay, cattle ranching and wheat and rice farming are major land uses. Natural
vegetation is better represented in areas with little agricultural potential,
such as mountain and polar areas and arid and semiarid zones.
IV. HUMAN USE OF REMAINING NATURAL HABITATS
Areas that remain
under natural vegetation cover, rather than being converted to other land uses
through clearing, are also subject to human use and alteration. Selective
logging in tropical forests, for example, leaves much of the basic structure of
the ecosystem intact, but also can lead to significant changes that can set in
motion a sequence of events leading to complete destruction of the ecosystem.
Logging leaves a substantial amount of dead biomass in the forest, including
the crowns and stumps of harvested trees and all of the biomass of the many
additional trees that are killed by damage sustained during the logging
process. Openings created in the canopy allow sunlight and heat to penetrate to
the forest floor, drying out the fuel bed more quickly than in unlogged
forests. Climatic variations such as those provoked by the El Niño phenomenon
make logged forests especially susceptible to entry of fires. Ample
opportunities for fires are provided as fields are burned to prepare land for
planting and as cattle pastures are burned to control invading weeds. The fires
burn slowly through the understory, charring the bases of trees as they go.
Many of these trees then die, leading to a positive-feedback process whereby
more dead biomass and canopy openings are provided and subsequent fires begin
with greater ease, killing still more trees. This can degrade the entire forest
within a few years (Nepstad et al., 1999).
Tropical forests
are also used for “extractivism,” or the collection of non-timber forest
products (NTFPs) such as rubber and Brazilnuts. This does relatively little
damage to the forest, although extractivists do have an impact through hunting
and through clearing for subsistence crops. The extractivist population can
also play a protective role in defending the forest against encroachment by
more aggressive actors such as ranchers and loggers. This is the basis of the
extractive reserve system in Brazil (see Anderson, 1990).
Savannas are
often grazed by cattle without cutting trees. Cerrado (ecoregion 114),
“lavrado” or Guianan savannas (ecoregion 111) the Pantanal wetlands (ecoregion
133) and the llanos of Venezuela (ecoregion 110) are among the savannas often
used in this way. Increasing fire frequency, virtually all a result of
human-initiated burning, can lead to shifts in species composition and to a drain
of nutrients.
Aquatic
ecosystems are traditionally exploited by fisheries. This alters the relative
abundance of the species present. Use of watercourses as recipients for sewage
and other pollutants also affects aquatic life in many ways.
V. THREATS TO REMAINING NATURAL HABITATS
A. Terrestrial
Ecosystems
1. Deforestation
Deforestation is
the dominant transformation of forested ecosystems that threatens biodiversity.
In Brazil, which holds most of the continent’s remaining forests, ranching is
the dominant use for land once deforested. In the 1990s, soybeans began to
enter forested regions, representing a new force in this process (they had
already been a major factor in transformation of the cerrado since the 1970s).
The most important effect of soybeans is not loss of forest directly planted to
the crop, but the extensive infrastructure of waterways, railways and highways
that are built to transport soybeans and the inputs needed to grow them. The
cycle of deforestation that has repeatedly occurred along Amazonian highways
can be expected to accompany these new access routes.
Population growth
is a fundamental contributor to deforestation and other forms of natural
habitat loss. In recent years, however, the redistribution of population
through migration that has overshadowed the impact of absolute growth in
population size. These include migrations from the semi-arid Northeast of
Brazil to Amazonia, from Paraná to Rondônia, from the highlands of Bolivia,
Peru and Ecuador to the Amazonian lowlands and, in the case of Ecuador, to the
Pacific lowlands as well.
2. Logging and
Charcoal Manufacture
Logging is an
increasingly important factor in Amazonia, and the catalytic role of this activity
in increasing the flammability of the logged forest gives it potential impact
far beyond its direct damage. So far, logging in Brazil has been dominated by
domestic demand for sawnwood, plywood and particle board, which is almost
entirely supplied from tropical forests rather than from silvicultural
plantations plantations (which produce wood for pulp and, to a lesser extent,
charcoal). However, global markets for tropical timber are presently dependent
on supplies from Asian forests that will soon come to an end if current rates
of exploitation continue. In the 1990s, Asian logging companies began buying
land and/or obtaining concessions in such countries as Brazil, Guyana and
Suriname, and pressure from global timber markets can be expected to increase
in the future. Asian loggers are also the principal forces in clearcutting the
Valdivian and Nothofagus forests of Chile (ecoregions 88 and 89).
In eastern
Amazonia, demand for charcoal for pig-iron smelting in the Carajás area is a
potential threat to forests. Carajás, with the world’s largest deposit of
high-grade iron ore, is expected to be mined for 400 years at the present rate
of exploitation. Wood from native forests is inherently cheaper as a source of
biomass for charcoal production as compared to plantation-grown sources.
Charcoal manufacture has an impact on the forest both through direct removals
(including officially sanctioned forestry management systems) and by increasing
the profitability of logging and deforestation (see Anderson, 1990)
.
Deforestation
impacts are magnified by fragmentation and edge effects (Laurance and
Bierregaard, 1997). This division of the remaining natural habitat into many
small islands surrounded by cattle pastures or other highly modified land uses,
together with forming edges with increased entry of light, wind and foreign
organisms, result in many changes in the remaining natural ecosystems. Most of
these changes are forms of degradation, such as greatly increased mortality in
the trees that provide the dominant component of forest structure. Vine loads
on trees near edges also increase, leading to further increase in mortality and
susceptibility to windthrow.
3. Other Threats
Climate change
represents a major long-term threat to many South American ecosystems. The
Intergovernmental Panel on Climate Change (IPCC) has prepared detailed reviews
of potential climatic impacts on South America in its 1998 Special Report on
Regional Impacts (Chapter 6) and its 2000 Third Assessment Report (Working
Group II, Chapter 14).
Removal of fauna
through hunting is a virtually universal consequence of proximity of human
settlements to natural habitats. The removal of fauna can affect seed
dispersal, pollination, and other processes needed for maintaining plant and
animal communities. Introduction of exotic species also represents a threat to
natural ecosystems. Exotic species are a particularly severe problem in the
Valdivian and Nothofagus forests of Chile (ecoregions 88 and 89).
Mangrove
ecosystems are subject to some unique threats. Shrimp culture in mangrove areas
has had severe impacts on the coast of Ecuador. Mangroves in Maranhão have been
subject to pressure for charcoal manufacture. In São Paulo state mangroves have
often suffered from oil spills, and are also losing ground to real-estate
development. This has also affected restingas (ecoregions 176-178).
B. Aquatic
Ecosystems
1. Dams
Hydroelectric
dams have major impacts on river ecosystems by blocking fish migration, by
eliminating rapids and replacing well oxygenated running water with reservoirs
that usually have anoxic water in their lower layers. The composition of fish
present changes radically, and undergoes a succession of changes as reservoirs
age. Anoxic water released through the turbines severely reduce fish and
freshwater shrimp productivity in the rivers downstream of the dams.
In Brazil, the
2010 Plan, released in 1987, listed over 300 dams for eventual construction in
Brazil, independent of the expected date of completion. Of these, 65 dams were
in the Amazon region. Economic difficulties have caused projected construction
dates to be successively postponed, but the ultimate number of dams has not
changed. Most contentious is the Babaquara Dam on the Xingu River, which would
flood over 6000 km2 of forest, much of it in indigenous areas. This
has been renamed the “Altamira Dam,” and appears in the current decennial plan
for construction by 2013.
In Chile, the
dams planned and under construction on the Bio-Bio River are expected to have
major environmental impacts. The Ralco Dam is particularly contentious. In
Uruguay, at least five major dams are planned for construction in the next few
years.
2. Waterways
Industrial
waterways, known as hidrovias in Brazil, greatly alter aquatic habitats.
No less than seven waterways are under construction or planned for soybean
transport on barges: the Paraguay-Paraná (Hidrovia do Pantanal), the
Madeira River waterway, the Tocantins-Araguaia waterway, the Teles
Pires-Tapajós waterway, the Capim River waterway, the Mamoré-Guaporé Waterway
and the Rio Branco and Rio Negro-Orinoco Waterways. Waterway construction
involves blasting rock obstructions, cutting sharp curves, and dredging
sediment from the river beds. The Corumbá-Cáceres stretch of the Hidrovia do
Pantanal, if built, would lower the water level in the Pantanal wetlands
(ecoregion 133), threatening one of the world’s most renowned concentrations of
wildlife.
3. Other Threats
Other threats to
aquatic habitats include sedimentation from soil erosion and landslides. This
is severe, for example, in rivers draining steep areas of former Atlantic
forest in the coastal mountains of Brazil. Mining for gold, tin and diamonds in
Amazonia can also inject large amounts of sediment into streams and rivers.
Destruction of
varzea forest (ecoregion 33) in Amazonia can affect aquatic life through loss
of important fish breeding areas and food sources for fruit- and seed-eating
fish. Destruction of varzea lakes and overfishing represent additional threats.
VI.) STATUS OF
PROTECTED AREAS
The choice and design of reserves
depends on the financial costs and biodiversity benefits of different
strategies. In Brazil, rapid creation of lightly protected "paper
parks" has been a means of keeping ahead of the advance of barriers to
establishment of new conservation units, but emphasis must eventually shift to
better protection of existing reserves (Fearnside,
1999).
Creating reserves that include human
occupants has a variety of pros and cons (Kramer et al., 1997). Although
the effect of humans is not always benign, much larger areas can be brought
under protection regimes if human occupants are included. Additional
considerations apply to buffer zones around protected areas. A “fortress
approach,” whereby uninhabited reserves are guarded against encroachment by a
hostile population in the surrounding area, is believed to be unworkable as a
means of protecting biodiversity, in addition to causing injustices for many of
the human populations involved
VII. PRIORITIES FOR CONSERVATION
Indigenous peoples have the best record
of maintaining forest, but negotiation with these peoples is essential in order
to ensure maintenance of the large areas of forest they inhabit (Fearnside and
Ferraz, 1995). The benefits of environmental services provided by the forest
must accrue to those who maintain these forests. Development of mechanisms to
capture the value of these services will be a key factor affecting the
long-term prospects of natural ecosystems.
In the case of deforestation in Amazonia,
a variety of measures could be taken immediately through government action,
including changing land tenure establishment procedures so as not to reward
deforestation, revoking remaining incentives, restricting road building and
improvement, strengthening requirements for environmental impact statements for
proposed development projects, and creating employment alternatives, and, in
the case of Brazil, levying and collecting taxes that discourage land
speculation. A key need is for a better-informed process of making decisions on
building roads and other infrastructure
such that the full array of impacts is taken into account.
Environmental
services represent a major value of natural ecosystems, and mechanisms that
convert the value of these services into monetary flows that benefit the people
who maintain natural habitats could significantly influence future events in
the region (Fearnside, 1997b). Environmental services of tropical forests
include maintenance of biodiversity, carbon stocks and water cycling. The water
cycling function, although very important for countries in the region, does not
affect other continents as the first two services do. At present, avoiding
global warming by keeping carbon out of the atmosphere represents a service for
which monetary flows are much more likely to result from international
negotiations. Activities under the United Nations Framework Convention on
Climate Change (UN-FCCC) are at a much more advanced stage of negotiation than
is the case either for the Biodiversity Convention or for the “Non-Binding
Statement of Principles” and possible future convention on forests.
In the case of
carbon, major decisions regarding credits for tropical forest maintenance are
likely to be taken at the sixth Conference of the Parties (COP-6) to the Kyoto
Protocol, at the end of 2000 or early in 2001. This will be after the IPCC
Special Report on Land-Use Change and Forestry (SR-LUCF) has been released in
May 2000. Regardless of what is decided at COP-6, global warming is a permanent
consideration that can be expected to receive increasing weight in decision
making. The threats to natural ecosystems in South America are many, and
recognition of the multiple environmental services provided by them is a key
factor in insuring that substantial areas of each of these ecosystems continue
to exist, thereby maintaining their biodiversity.
ACKNOWLEDGMENTS
I thank Eric Dinerstein and the World Bank
for permission to publish Figure 1 and Table I, and Tom Stone and the American
Society for Photogrametry and Remote Sensing for permission to publish Figure 3
and Table II. Brazil's
National Council of Scientific and Technological Development (CNPq AI
523980/96-5) and National Institute for Research in the Amazon (INPA PPI
1-3160) provided financial support. S.V.
Wilson and two anonymous reviewers made helpful comments on the manuscript.
BIBLIOGRAPHY
Anderson, A.B. (ed.) (1990). Alternatives
to Deforestation: Towards Sustainable Use of the Amazon Rain Forest.
Columbia University Press, New York.
Dinerstein, E., Olson, D.M.; Graham, D.J.; Webster,
A.L.; Primm, S.A.; Bookbinder, M.P., and Ledec, G. (1995). A Conservation
Assessment of the Terrestrial Ecoregions of Latin America and the Caribbean.
The World Bank, Washington, DC.
FAO (Food and Agriculture Organization
of the United Nations). (1993). Forest Resources Assessment 1990: Tropical
Countries. (FAO Forestry Paper 112). FAO, Rome, Italy.
Fearnside, P.M. (1993). Deforestation
in Brazilian Amazonia: The effect of population and land tenure. Ambio
22(8), 537-545.
Fearnside, P.M. (1997a). Limiting
factors for development of agriculture and ranching in Brazilian Amazonia. Revista
Brasileira de Biologia 57(4), 531-549.
Fearnside, P.M. (1997b). Environmental
services as a strategy for sustainable development in rural Amazonia. Ecological
Economics 20(1), 53-70.
Fearnside, P.M. (1999). Biodiversity as an environmental
service in Brazil's Amazonian forests: Risks, value and conservation. Environmental
Conservation 26(4)(in press).
Fearnside, P.M.,
and Ferraz, J. (1995). A conservation gap analysis of Brazil's Amazonian
vegetation. Conservation Biology 9(5), 1134-1147.
Harcourt, C.S.,
and Sayer, J.A. (eds.) (1996). The Conservation Atlas of Tropical Forests:
The Americas. Simon & Schuster, New York, U.S.A. 335 pp.
Heywood, V.H. and
R.T. Watson (eds.). 1995. Global Biodiversity Assessment. Cambridge
University Press, Cambridge, U.K. 1140 pp.
Kramer, R., van Schaik, C. and Johnson,
J. (Eds.) (1997). Last Stand: Protected Areas and the Defense of Tropical
Biodiversity. Oxford University Press, Oxford, U.K. 197 pp.
Laurance, W.F.,
and Bierregaard, R.O. (Eds.) (1997). Tropical Forest
Remnants: Ecology, Management, and Conservation of Fragmented Communities.
University of Chicago Press, Chicago, Illinois.
Nepstad, D.C; Moreira, A.G., and
Alencar, A.A. (1999). Flames in the Rain Forest: Origins, Impacts and
Alternatives to Amazonian Fire. Pilot Program to Conserve the Brazilian
Rain Forest, Brasilia, Brazil
Rudel, T.K., and Horowitz, B. (1993). Tropical
Deforestation: Small Farmers and Land Clearing in the Ecuadorian Amazon.
Columbia University Press, New York.
Stone, T.A.; Schlesinger, P.; Houghton,
R.A, and Woodwell, G.M.. (1994). A map of the vegetation of South America based
on satellite imagery. Photogrammetric Engineering and Remote Sensing
60(5), 541-551.
Stotz, D.F.; Fitzpatrick, J.W.; Parker III, T.A., and Moskovitz, D.K. (1996). Neotropical Birds: Ecology and Conservation. University of Chicago Press, Chicago, Illinois.
Figure Legends
Figure
1 – Ecoregions for pre-Colombian vegetation of South America. Numbers
correspond to Table I. (Adapted from: Dinerstein et al., 1995)
Figure
2 – Locations mentioned in the text.
Figure
3 – Extent of land-cover types in 1988 based on 1 ´ 1 km-resolution AVHRR imagery (source: http://www.whrc.org;
see also: Stone et al., 1994).
Table I:
Terrestrial Ecoregions of South America
|
|
|
|
|
|
|
|
|
|
|||||||||||||||||||
Major Ecosystem
type |
Major Habitat
type |
Bioregion |
Ecoregion Name |
Ecoregion No. |
Countries |
Original area
(km2) |
Conservation
status |
Biological
distinctiveness |
Bidiversity
priority |
|||||||||||||||||||
TROPICAL
BROADLEAF FORESTS |
||||||||||||||||||||||||||||
|
Tropical Moist
Broadleaf Forests |
|||||||||||||||||||||||||||
|
|
Orinoco
Tropical Moist Forests |
|
|||||||||||||||||||||||||
|
|
|
Cordillera La
Costa montane forests |
17 |
Venezuela |
13,481 |
3 |
2 |
I |
|||||||||||||||||||
|
|
|
Orinoco Delta
swamp forests |
18 |
Venezuela,
Guyana |
31,698 |
4 |
3 |
III |
|||||||||||||||||||
|
|
|
Guianan
Highlands moist forests |
20 |
Venezuela,
Brazil, Guyana |
248,018 |
5 |
2 |
III |
|||||||||||||||||||
|
|
|
Tepuis |
21 |
Venezuela, Brazil, Guyana, Suriname, Colombia |
49,157 |
5 |
1 |
II |
|||||||||||||||||||
|
|
|
Napo moist
forests |
22 |
Peru, Ecuador,
Colombia |
369,847 |
4 |
1 |
I |
|||||||||||||||||||
|
|
Amazonian
Tropical Moist Forests |
|
|
|
|
||||||||||||||||||||||
|
|
|
Macarena
montane forests |
23 |
Colombia |
2,366 |
3 |
2 |
I |
|||||||||||||||||||
|
|
|
Japurá/Negro
moist forests |
24 |
Colombia,
Venezuela, Brazil |
718,551 |
5 |
1 |
II |
|||||||||||||||||||
|
|
|
Uatumã moist
forests |
25 |
Brazil,
Venezuela, Guyana |
288,128 |
4 |
3 |
III |
|||||||||||||||||||
|
|
|
Amapá moist
forests |
26 |
Brazil,
Suriname |
195,120 |
4 |
3 |
III |
|||||||||||||||||||
|
|
|
Guianan moist
forests |
27 |
Veneauela,
Guyana, Suriname, Brazil, French Guiana |
457,017 |
4 |
3 |
III |
|||||||||||||||||||
|
|
|
Paramaribo
swamp forests |
28 |
Suriname |
7,760 |
3 |
3 |
III |
|||||||||||||||||||
|
|
|
Ucayali moist
forests |
29 |
Brazil, Peru |
173,527 |
2 |
1 |
I |
|||||||||||||||||||
|
|
|
Western
Amazonian swamp forests |
30 |
Peru, Colombia |
8,315 |
4 |
1 |
I |
|||||||||||||||||||
|
|
|
Southwestern
Amazonian moist forests |
31 |
Brazil, Peru,
Bolivia |
534,316 |
4 |
1 |
I |
|||||||||||||||||||
|
|
|
Juruá moist
forests |
32 |
Brazil |
361,055 |
5 |
2 |
III |
|||||||||||||||||||
|
|
|
Várzea forests |
33 |
Brazil, Peru,
Colombia |
193,129 |
3 |
1 |
I |
|||||||||||||||||||
|
|
|
Purús/Madeira
moist forests |
34 |
Brazil |
561,765 |
4 |
4 |
IV |
|||||||||||||||||||
|
|
|
Rondônia/Mato
Grosso moist forests |
35 |
Brazil, Bolivia |
645,089 |
3 |
2 |
II |
|||||||||||||||||||
|
|
|
Beni swamp and
gallery forests |
36 |
Bolivia |
31,329 |
4 |
4 |
IV |
|||||||||||||||||||
|
|
|
Tapajós/Xingu
moist forests |
37 |
Brazil |
630,905 |
3 |
4 |
IV |
|||||||||||||||||||
|
|
|
Tocantins moist
forests |
38 |
Brazil |
279,419 |
2 |
4 |
III |
|||||||||||||||||||
|
|
Northern Andean
Tropical Moist Forests |
|
|
|
|
||||||||||||||||||||||
|
|
|
Chocó/Darién
moist forests |
39 |
Colombia,
Panama, Ecuador |
82,079 |
3 |
1 |
I |
|||||||||||||||||||
|
|
|
Eastern
Panamanian montane forests |
40 |
Panama,
Colombia |
2,905 |
2 |
1 |
I |
|||||||||||||||||||
|
|
|
Northwestern
Andean montane forests |
41 |
Colombia,
Ecuador |
52,937 |
2 |
1 |
I |
|||||||||||||||||||
|
|
|
Western Ecuador
moist forests |
42 |
Ecuador,
Colombia |
40,218 |
1 |
2 |
I |
|||||||||||||||||||
|
|
|
Cauca Valley
montane forests |
43 |
Colombia |
32,412 |
1 |
1 |
I |
|||||||||||||||||||
|
|
|
Magdalena
Valley montane forests |
44 |
Colombia |
49,322 |
1 |
1 |
I |
|||||||||||||||||||
|
|
|
Magdalena/Urabá
moist forests |
45 |
Colombia |
73,660 |
2 |
3 |
II |
|||||||||||||||||||
|
|
|
Cordillera
Oriental montane forests |
46 |
Colombia |
66,712 |
3 |
1 |
I |
|||||||||||||||||||
|
|
|
Eastern
Cordillera Real montane forests |
47 |
Ecuador,
Colombia, Peru |
84,442 |
3 |
1 |
I |
|||||||||||||||||||
|
|
|
Santa Marta
montane forests |
48 |
Colombia |
4,707 |
3 |
2 |
I |
|||||||||||||||||||
|
|
|
Venezuelan
Andes montane forests |
49 |
Venezuela,
Colombia |
16,638 |
2 |
1 |
I |
|||||||||||||||||||
|
|
|
Catatumbo moist
forests |
50 |
Venezuela,
Colombia |
21,813 |
1 |
4 |
III |
|||||||||||||||||||
|
|
Central Andean
Tropical Moist Forests |
|
|
|
|
||||||||||||||||||||||
|
|
|
Peruvian Yungas |
51 |
Peru |
188,735 |
2 |
1 |
I |
|||||||||||||||||||
|
|
|
Bolivian Yungas |
52 |
Bolivia,
Argentina |
72,517 |
2 |
2 |
I |
|||||||||||||||||||
|
|
|
Andean Yungas |
53 |
Argentina,
Bolivia |
55,457 |
3 |
3 |
III |
|||||||||||||||||||
|
|
Eastern South
American Tropical Moist Forests |
|
|
|
|
||||||||||||||||||||||
|
|
|
Brazilian
Coastal Atlantic forests |
54 |
Brazil |
233,266 |
1 |
1 |
I |
|||||||||||||||||||
|
|
|
Brazilian
Interior Atlantic forests |
55 |
Brazil |
803,908 |
2 |
2 |
I |
|||||||||||||||||||
|
Tropical Dry
Broadleaf Forests |
|
|
|
|
|||||||||||||||||||||||
|
|
Orinoco
Tropical Dry Forests |
|
|
|
|
||||||||||||||||||||||
|
|
|
Llanos dry
forests |
74 |
Venezuela |
44,177 |
2 |
4 |
III |
|||||||||||||||||||
|
|
Amazonian
Tropical Dry Forests |
|
|
|
|
||||||||||||||||||||||
|
|
|
Bolivian
Lowland dry forests |
76 |
Bolivia, Brazil |
156,814 |
1 |
1 |
I |
|||||||||||||||||||
|
|
Northern Andean
Tropical Dry Forests |
|
|
|
|
||||||||||||||||||||||
|
|
|
Cauca Valley
dry forests |
77 |
Colombia |
5,130 |
1 |
4 |
III |
|||||||||||||||||||
|
|
|
Magdalena
Valley dry forests |
78 |
Colombia |
13,837 |
1 |
4 |
III |
|||||||||||||||||||
|
|
|
Patía Valley
dry forests |
79 |
Colombia |
1,291 |
1 |
4 |
III |
|||||||||||||||||||
|
|
|
Sinú Valley dry
forests |
80 |
Colombia |
55,473 |
1 |
4 |
III |
|||||||||||||||||||
|
|
|
Ecuadorian dry
forests |
81 |
Ecuador |
22,271 |
1 |
1 |
I |
|||||||||||||||||||
|
|
|
Tumbes/Piura
dry forests |
82 |
Ecuador, Peru |
64,588 |
2 |
1 |
I |
|||||||||||||||||||
|
|
|
Marañon dry
forests |
83 |
Peru |
14,921 |
2 |
3 |
II |
|||||||||||||||||||
|
|
|
Maracaibo dry
forests |
84 |
Venezuela |
31,471 |
2 |
4 |
III |
|||||||||||||||||||
|
|
|
Lara/Falcón dry
forests |
85 |
Venezuela |
16,178 |
2 |
4 |
III |
|||||||||||||||||||
|
|
Central Andean Tropical
Dry Forests |
|
|
|
|
||||||||||||||||||||||
|
|
|
Bolivian
montane dry forests |
86 |
Bolivia |
39,368 |
1 |
3 |
II |
|||||||||||||||||||
CONIFER/TEMPERATE
BROADLEAF FORESTS |
|
|
||||||||||||||||||||||||||
|
Temperate
Forests |
|
||||||||||||||||||||||||||
|
|
Southern South
American Temperate Forests |
|
|
|
|
||||||||||||||||||||||
|
|
|
Chilean
winter-rain forests |
87 |
Chile |
24,937 |
2 |
2 |
I |
|||||||||||||||||||
|
|
|
Valdivian
temperate forests |
88 |
Chile,
Argentina |
166,248 |
3 |
1 |
I |
|||||||||||||||||||
|
|
|
Subpollar Nothofagus
forests |
89 |
Chile,
Argentina |
141,120 |
3 |
3 |
III |
|||||||||||||||||||
|
Tropical and
Subtropical Coniferous Forests |
|
|
|
||||||||||||||||||||||||
|
|
Eastern South
American Tropical and Subtropical Coniferous Forests |
||||||||||||||||||||||||||
|
|
|
Brazilian Araucaria
forests |
105 |
Brazil,
Argentina |
206,459 |
1 |
3 |
II |
|||||||||||||||||||
GRASSLANDS/SAVANNAS/SHRUBLANDS |
|
|||||||||||||||||||||||||||
|
Grasslands,
Savannas and Shrublands |
|
|
|
||||||||||||||||||||||||
|
|
Orinoco
Grasslands, Savannas and Shrublands |
|
|||||||||||||||||||||||||
|
|
|
Llanos |
110 |
Venezuela,
Colombia |
355,112 |
4 |
3 |
III |
|||||||||||||||||||
|
|
Amazonian
Grasslands, Savannas and Shrublands |
|
|||||||||||||||||||||||||
|
|
|
Guianan
savannas |
111 |
Suriname,
Guyana, Brazil, Venezuela |
128,375 |
4 |
3 |
III |
|||||||||||||||||||
|
|
|
Amazonian
savannas |
112 |
Brazil,
Colombia, Venezuela |
120,124 |
4 |
3 |
III |
|||||||||||||||||||
|
|
|
Beni savannas |
113 |
Bolivia |
165,445 |
2 |
3 |
II |
|||||||||||||||||||
|
|
Eastern South
American Grasslands, Savannas and Shrublands |
|
|||||||||||||||||||||||||
|
|
|
Cerrado |
114 |
Brazil,
Paraguay, Bolivia |
1,982,249 |
3 |
1 |
I |
|||||||||||||||||||
|
|
|
Chaco savannas |
115 |
Argentina,
Paraguay, Bolivia, Brazil |
611,053 |
3 |
2 |
I |
|||||||||||||||||||
|
|
|
Humid Chaco |
116 |
Argentina,
Paraguay, Uruguay, Brazil |
474,340 |
3 |
4 |
IV |
|||||||||||||||||||
|
|
|
Córdoba montane
savannas |
117 |
Argentina |
55,798 |
3 |
4 |
IV |
|||||||||||||||||||
|
|
Southern South
American Grasslands, Savannas and Shrublands |
|
|||||||||||||||||||||||||
|
|
|
Argentine Monte |
118 |
Argentina |
197,710 |
4 |
3 |
III |
|||||||||||||||||||
|
|
|
Argentine
Espinal |
119 |
Argentina |
207,054 |
4 |
3 |
III |
|||||||||||||||||||
|
|
|
Pampas |
120 |
Argentina |
426,577 |
2 |
3 |
III |
|||||||||||||||||||
|
|
|
Uruguayan
savannas |
121 |
Uruguay,
Brazil, Argentina |
336,846 |
3 |
3 |
III |
|||||||||||||||||||
|
Flooded
Grasslands |
|
|
|||||||||||||||||||||||||
|
|
Orinoco Flooded
Grasslands |
|
|||||||||||||||||||||||||
|
|
|
Orinoco
wetlands |
128 |
Venezuela |
6,403 |
4 |
3 |
III |
|||||||||||||||||||
|
|
Amazonian
Flooded Grasslands |
|
|||||||||||||||||||||||||
|
|
|
Western
Amazonian flooded grasslands |
129 |
Peru, Bolivia, |
10,111 |
4 |
3 |
III |
|||||||||||||||||||
|
|
|
Eastern
Amazonian flooded grasslands |
130 |
Brazil |
69,533 |
3 |
3 |
III |
|||||||||||||||||||
|
|
|
São Luis
flooded grasslands |
131 |
Brazil |
1,681 |
2 |
4 |
III |
|||||||||||||||||||
|
|
Northern Andean
Flooded Graslands |
|
|
||||||||||||||||||||||||
|
|
|
Guayaquil
flooded grassland |
132 |
Ecuador |
3,617 |
2 |
3 |
II |
|||||||||||||||||||
|
|
Eastern South
American Flooded Grasslands |
|
|
||||||||||||||||||||||||
|
|
|
Pantanal |
133 |
Brazil,
Bolivia, Paraguay |
140,927 |
3 |
1 |
I |
|||||||||||||||||||
|
|
|
Paraná flooded
savannas |
134 |
Argentina |
36,452 |
2 |
3 |
II |
|||||||||||||||||||
|
Montane
Grasslands |
|
||||||||||||||||||||||||||
|
|
Northen Andean
Montane Grasslands |
|
|
||||||||||||||||||||||||
|
|
|
Santa Marta
paramo |
137 |
Colombia |
1,329 |
3 |
1 |
I |
|||||||||||||||||||
|
|
|
Cordillera de
Mérida paramo |
138 |
Venezuela |
3,518 |
4 |
1 |
I |
|||||||||||||||||||
|
|
|
Northern Andean
paramo |
139 |
Ecuador |
58,806 |
3 |
1 |
I |
|||||||||||||||||||
|
|
Central Andean
Montane Grasslands |
|
|
||||||||||||||||||||||||
|
|
|
Cordillera Central
paramo |
140 |
Peru, Ecuador |
14,128 |
3 |
1 |
I |
|||||||||||||||||||
|
|
|
Central Andean
puna |
141 |
Bolivia,
Argentina, Peru, Chile |
183,868 |
3 |
2 |
I |
|||||||||||||||||||
|
|
|
Central Andean wet
puna |
142 |
Chile |
188,911 |
3 |
2 |
I |
|||||||||||||||||||
|
|
|
Central Andean
dry puna |
143 |
Argentina,
Bolivia, Chile |
232,958 |
3 |
2 |
I |
|||||||||||||||||||
|
|
Southern South American
Montane Grasslands |
|
|
||||||||||||||||||||||||
|
|
|
Southern Andean
steppe |
144 |
Argentina,
Chile |
198,643 |
4 |
4 |
IV |
|||||||||||||||||||
|
|
|
Patagonian
steppe |
145 |
Argentina,
Chile |
474,757 |
3 |
2 |
I |
|||||||||||||||||||
|
|
|
Patagonian
grasslands |
146 |
Argentina,
Chile |
59,585 |
3 |
3 |
III |
|||||||||||||||||||
XERIC
FORMATIONS |
|
|
||||||||||||||||||||||||||
|
Mediterranean
Scrub |
|
||||||||||||||||||||||||||
|
|
Central Andean
Mediteranean Scrub |
|
|
||||||||||||||||||||||||
|
|
|
Chilean
matorral |
148 |
Chile |
141,643 |
2 |
1 |
I |
|||||||||||||||||||
|
Deserts and Xeric
Shrublands |
|
||||||||||||||||||||||||||
|
|
Orinoco Deserts
and Xeric Shrublans |
|
|
||||||||||||||||||||||||
|
|
|
La Costa xeric
Shrublands |
168 |
Venezuela |
64,379 |
2 |
4 |
III |
|||||||||||||||||||
|
|
|
Arayua and
Paría xeric scrub |
169 |
Venezuela |
5,424 |
2 |
3 |
II |
|||||||||||||||||||
|
|
Northern Andean
Deserts and Xeric Shrublands |
|
|
||||||||||||||||||||||||
|
|
|
Galapagos
Islands xeric scrub |
170 |
Ecuador |
9,122 |
3 |
1 |
1 |
|||||||||||||||||||
|
|
|
Guajira/Barranquilla
xeric scrub |
171 |
Colombia,
Venezuela |
32,404 |
2 |
3 |
II |
|||||||||||||||||||
|
|
|
Paraguaná xeric
scrub |
172 |
Venezuela |
15,987 |
2 |
3 |
II |
|||||||||||||||||||
|
|
Central Andean
Deserts and Xeric Shrublands |
|
|
||||||||||||||||||||||||
|
|
|
Sechura desert |
173 |
Peru, Chile |
189,928 |
3 |
3 |
III |
|||||||||||||||||||
|
|
|
Atacama desert |
174 |
Chile |
103,841 |
3 |
3 |
III |
|||||||||||||||||||
|
|
Eastern South
American Deserts and Xeric Shrublands |
|
|
||||||||||||||||||||||||
|
|
|
Caatinga |
175 |
Brazil |
752,606 |
3 |
3 |
III |
|||||||||||||||||||
|
Restingas |
|
||||||||||||||||||||||||||
|
|
Northern Andean
Restingas |
|
|
||||||||||||||||||||||||
|
|
|
Paranaguá restingas |
176 |
Venezuela |
15,987 |
2 |
3 |
II |
|||||||||||||||||||
|
|
Amazonian
Restingas |
|
|
||||||||||||||||||||||||
|
|
|
Northeastern
Brazil restingas |
177 |
Brazil |
10,248 |
1 |
1 |
I |
|||||||||||||||||||
|
|
Eastern South
American Restingas |
|
|
||||||||||||||||||||||||
|
|
|
Brazilian Atlantic Coast restinga |
178 |
Brazil |
8,740 |
1 |
1 |
I |
|||||||||||||||||||
|
|
|
|
|||||||||||||||||||||||||
Data source: Dinerstein et al. (1995) |
|
|||||||||||||||||||||||||||
|
|
|||||||||||||||||||||||||||
Conservation status
codes: 1=critical, 2=endangered, 3=vulnerable, 4=relatively stable,
5=relatively intact |
|
|||||||||||||||||||||||||||
|
|
|||||||||||||||||||||||||||
Biological distinctiveness
codes: 1=globally outstanding, 2=regionally outstanding, 3=bioregionally
outstanding, 4=locally important |
|
|||||||||||||||||||||||||||
|
|
|||||||||||||||||||||||||||
Biodiversity priority
codes: I=highest priority at regional scale, II=high priority at regional
scale, III=moderate priority at regional scale, IV=important at national
scale |
|
|||||||||||||||||||||||||||
Table II: Area of Tropical Forest Present
in 1990 (km2)(a) |
||||||||
|
|
|
|
|
|
|
|
|
|
|
Tropical rain forests |
Moist decid- uous forest |
Dry decid- uous forest(b) |
Very dry forest |
Desert |
Hill and montane forest |
All forests(b) |
Bolivia |
|
0 |
355,820 |
73,460 |
0 |
40 |
63,850 |
493,170 |
Brazil |
|
2,915,970 |
1,970,820 |
288,630 |
0 |
0 |
435,650 |
5,611,070 |
Colombia |
|
474,550 |
41,010 |
180 |
0 |
0 |
24,900 |
540,640 |
Ecuador |
|
71,500 |
16,690 |
440 |
0 |
0 |
31,000 |
119,620 |
French Guiana |
79,930 |
30 |
0 |
0 |
0 |
0 |
79,970 |
|
Guyana |
|
133,370 |
31,670 |
0 |
0 |
0 |
19,120 |
184,160 |
Paraguay |
|
0 |
60,370 |
67,940 |
0 |
0 |
270 |
128,590 |
Peru |
|
403,580 |
122,990 |
190 |
2,690 |
1,840 |
147,770 |
679,060 |
Suriname |
|
114,400 |
33,280 |
0 |
0 |
0 |
0 |
147,680 |
Venezuela |
196,020 |
154,650 |
2,220 |
1 |
0 |
103,900 |
456,910 |
|
|
|
|
|
|
|
|
|
|
Total |
|
4,389,320 |
2,787,330 |
433,060 |
2,691 |
1,880 |
826,460 |
8,440,870 |
|
|
|
|
|
|
|
|
|
(a) Data source: FAO (1993). |
||||||||
(b)
Includes cerrado, caatinga and chaco. |
Table III: Land-Cover in
South America in 1988 |
|
|
|
|
|
|||||||||
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Closed |
|
|
|
|
|
|
Degraded |
Scrub |
|
|
|
|
|
|
Tropical |
Recently |
|
Degraded |
|
Degraded |
Savanna, |
Savanna, |
lands, |
Desert, |
|
Snow, |
|
|
|
Moist |
Degraded |
Closed |
Closed |
Wood- |
Wood- |
Grass- |
Grass- |
Shrub- |
Bare |
|
Rock, |
|
|
|
Forest |
TMF |
Forest |
Forest |
lands |
lands |
lands |
lands |
lands |
Soil |
Water |
Ice |
Other |
Total |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Argentina |
1.2 |
0.0 |
96.8 |
0.6 |
645.4 |
15.7 |
755.4 |
232.8 |
894.a |
37.9 |
34.0 |
31.4 |
35.7 |
2,779.8 |
Bolivia |
323.5 |
12,7 |
409.2 |
24.6 |
345.1 |
102.2 |
87.7 |
86.2 |
4.8 |
16.5 |
11.9 |
0.1 |
1.1 |
1,089.4 |
Brazil |
3,522.3 |
519.7 |
3,686.0 |
1,692.2 |
1,555.9 |
330.0 |
740.0 |
179.4 |
0.0 |
0.0 |
80.9 |
0.0 |
124.0 |
8,388.5 |
Chile |
0.0 |
0.0 |
134.1 |
29.1 |
75.2 |
29.8 |
101.1 |
14.0 |
86.9 |
186.8 |
7.0 |
16.6 |
3.8 |
684.5 |
Colombia |
581.6 |
5.4 |
622.5 |
11.4 |
116.3 |
14.5 |
255.5 |
64.0 |
0.0 |
0.0 |
3.1 |
0.0 |
22.8 |
1,110.1 |
Ecuador |
115.5 |
1.7 |
121.0 |
1.7 |
33.7 |
4.3 |
41.9 |
13.3 |
3.2 |
2.5 |
0.6 |
0.0 |
0.8 |
223.1 |
French Guiana |
78.8 |
0.0 |
79.8 |
2.4 |
0.6 |
0.0 |
0.2 |
0.0 |
0.0 |
0.0 |
0.1 |
0.0 |
1.0 |
84.1 |
Guyana |
159.4 |
2.0 |
171.6 |
2.4 |
5.4 |
0.3 |
18.4 |
1.5 |
0.0 |
0.0 |
1.2 |
0.0 |
3.7 |
204.3 |
Paraguay |
0.3 |
0.0 |
8.9 |
0.2 |
209.1 |
50.7 |
104.0 |
26.5 |
0.0 |
0.0 |
0.6 |
0.0 |
1.1 |
401.1 |
Peru |
620.8 |
19.1 |
654.7 |
19.1 |
88.0 |
78.8 |
139.0 |
97.4 |
64.3 |
88.0 |
8.3 |
0.7 |
5.6 |
1,244.1 |
Suriname |
126.0 |
2.5 |
128.5 |
10.0 |
0.5 |
0.3 |
1.2 |
0.4 |
0.0 |
0.0 |
1.1 |
0.0 |
3.3 |
145.2 |
Uruguay |
1.4 |
0.0 |
2.1 |
0.0 |
0.9 |
0.0 |
154.1 |
11.0 |
0.0 |
0.0 |
3.0 |
0.0 |
5.9 |
177.0 |
Venezuela |
379.1 |
0.2 |
415.5 |
9.9 |
33.9 |
40.2 |
243.3 |
82.0 |
27.2 |
0.0 |
11.4 |
0.0 |
8.4 |
871.8 |
Unclassified |
|
|
|
|
|
|
|
|
|
|
|
|
|
313.0 |
Total |
5,909.9 |
563.4 |
6,530.7 |
1,803.7 |
3,109.8 |
666.9 |
2,642.0 |
808.5 |
1,080.6 |
331.7 |
163.2 |
48.9 |
2t7.2 |
17,716.1 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Continent |
33.4% |
3..2% |
36.9% |
10.2% |
17.6% |
3.8% |
14.9% |
4.6% |
6.1% |
1.9% |
0.9% |
0.3% |
1.2% |
100.0% |
Category |
|
8.7% |
|
21.6% |
|
17.7% |
|
23.4% |
|
|
|
|
|
|
N.B. All values in thousands
of km2 or percent.
"TMF" includes Tropical
Moist, Semi-deciduous and Gallery Forests
"Grasslands"
includes those seasonally flooded
"Closed forest"
includes TMF, Montane forests, Cool and Temperate Deciduous Forests and
Tropical Seasonal Forests "Degraded grasslands" includes Agriculture
"Desert, Bare Soil" includes inland Salt Marsh Communities
"Other" includes
wet vegetation and mangroves
Source: Stone et al., 1994.
Fig. 1 part
1
Fig. 1 part
2
Fig. 2