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An assessment of biodiversity hotspots using remote sensing and GIS

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This study focuses on the assessment of the status of world’s remaining closed forests (WRCF), population distribution, and protected areas in global biodiversity hotspots using remote sensing and Geographic Information System (GIS). Conservation International (CI) has identified 25 eco-regions, called biodiversity hotspots that are especially rich in endemic species and are particularly threatened by human activities. This study uses globally consistent and comprehensive geo-spatial data sets generated using rerriote sensing and other sources, and the application of GIS layering methods. The consistent data set has made it possible to identify and quantify relationships between the WRCF, human population, and protected areas in biodiversity hotspots. It is expected that such information will provide a scientific basis for biodiversity hotspots management and assist in policy formulations at the national and international levels.
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Photonirvaehak
Journal of the Indian Society of Remote Sensing, Vol. 30, No. l&2, 2002
An Assessment of Biodiversity Hotspots Using
Remote Sensing and GIS
HUA SHI and ASHBINDU SINGH
Division of Environmental Information, Assessment and Early Warning - North America
USGS/EROS Data Center, Sioux Falls, SD 57198, USA
ABSTRACT
This study focuses on the assessment of the status of world's remaining closed forests
(WRCF), population distribution, and protected areas in global bjodiversity hotspots using
remote sensing and Geographic Information System (GIS). Conservation International (CI)
has identified 25 eco-regions, called biodiversity hotspots that are especially rich in endemic
specie s and are particularly threatened by human activities. This study uses globally
consistent and comprehensive geo-spatial data sets generated using remote sensing and other
sources, and the application of GIS layering methods. The consistent data set has madd it
possible to identify and quantify relationships between the WRCF, human population, and
protected areas in biodiversity hotspots. It is expected that such information will provide a
scientific basis for biodiversity hotspots management and assist in policy formulations at the
national and international levels.
Introduction
Biodiversity, simply defined as the total of
all life on Earth, that wealth of species, said and
done, still the only place in the entire universe
where we know with certainty ecosystems, and
ecological processes that make our living planet
what it is -~ after all is that life exists. It is our
living resources base, our biological capital in
the global bank, and what distinguishes it
Recd. 3 Jan., 2002; in final form 18 April., 2002
perhaps more than anything else is the fact that
its loss is an irreversible process (Mittermeier
et
al.,
1999). The Global Biodiversity Assessment
(1992) of the United Nations Environment
Programme (UNEP) concluded that the adverse
effects of human impacts on biodiversity are
increasing dramatically and are threatening the
very foundation of sustainable development. The
total number of species that inhabit th6 planet is
unknown and it is believed that many extinctions
will occur even before they are n~imed and
described. It is estimated that 85-90% of all
106 Hua Shi and Ashbindu Singh
species can be protected by setting aside areas of
high biodiversity before they are further
degraded. Most terrestrial species are found in
the tropics, only a relatively small portion of the
total land area is likely to be devoted to
biodiversity conservation; hence, it is critical to
geographically identify such areas rich in species
diversity and endemism as a first step toward the
protection of remaining natural habitats.
The next half-century could be called the "last
chance decades". These will be some of the most
dangerous years ever for the Earth's species and
ecosystems. Yet this is also a time in which we
have a chance to make a difference (Mittermeier
et aL, 1999). In the past, protected areas have
been often set aside without regard to the
biodiversity within their boundaries. As a result,
many protected areas have little significance in
terms of biodiversity, and conversely, many
areas of habitat with significant biodiversity lack
protection. This study seeks to identify
relationships between the WRCF, human
population, and protected areas by analyzing
comprehensive and consistent spatial data sets of
1-km resolution to answer following questions:
9 What is the distribution of the WRCF in
biodiversity hotspots?
9 Are the world's remaining closed forests
with significant biodiversity adequately
protected?
9 Is biodiversity within the WRCF threatened
by human population pressure and land use?
9 What are the inter-connections between
people and the biodiversity hotspots?
What should we do?
Data
Global Forest Cover Distribution Data
In this study the USGS land cover database
(Loveland et al., 2000) has been used as a base to
update forest cover map for many parts of the
world for the year 1995. This land cover
database was developed on characteristics of
vegetation seasonality determined in terms of
weekly composite of Normalized Difference
Vegetation Index (NDVI) derived from the
National Oceanic Atmospheric Administration
Advanced Very High Resolution Radiometer
(NOAA AVHRR) sensor for the period 1992-
1993 (http://edcdaac.usgs.gov). In. the database,
unique NDVI signatures and associated
attributes, such as terrain and eco-regions,
characterize large-area land cover patterns
(Singh et aL, 2001). In the present study, area
under forests classes, namely, closed forests
(density > 40%), open and degraded forests
(density 10-40%), and other woodlands were
taken from the 1995 forest cover database,
whereas area under grassland, cultivation, and
water were taken from the USGS land cover
database.
Global Population Database
The geographically referenced population
database was provided by the UNEP/GRID
(http://grid.cr.usgs.gov). These data sets were
generated using a model incorporating many
variables.
Global Protected Area Database
UNEP-World Conservation Monitoring
Center (UNEP_WCMC) (http://www.unep-
wcmc.org) has provided the protected areas
database. The definition of a protected area as
adopted by The World Conservation Union
(IUCN) is "An area of land and/or sea especially
dedicated to the protection and maintenance of
biological diversity, and of natural and
associate.d cultural resources, and managed
through legal or other effective means" (2001).
Biodiversity Hotspots
The Conservation International (CI) has
provided the biodiversity hotspots database
(2001, http://www.conservation.org). The
hotspots are considered to be Earth's biologically
the richest and most endangered terrestrial eco-
regions. The Conservation International have
identified 25 hotspots which are: Atlantic Forest
region, Brazilian Cerrado, California Floristic
Province, Cape FIoristic Region Caribbean,
An Assessment of Biodiversity Hotspots Using Remote Sensing and GIS... 107
Caucasus, Central Chile, Choco-Darien-Western
ECuador, Eastern Arc Mountains and Coastal
Forest, Guinean Forests of West Africa, lndo-
Burma, Madagascar and Indian Ocean Islands,
Mediterranean basin, Mesoamerica, Mountains
of South Central China, New Caledonia, New
Zealand, Philippines, Poynesia and Micronesia,
Southwest Australia, Succulent Karoo,
Sundaland, Tropical Anded, Wallacea, Western
Ghats and Sri Lanka. The three major tropical
wilderness areas are Upper Amazonia and
Guyana Shield, Congo River Basin, and New
Guinea and Melanesian Islands (Mittermeier et
al., 1999).
Political Boundaries Data
Political boundaries data has been taken from the
US National Imagery and Mapping Agency's
(NIMA) Vector Map Level 0 (VMAP0) series
CD-ROM. From this data set, year 1995 version
of the political boundaries of the world at 1:1
million nominal scale was taken. Attribute
assignments were verified and corrected as
needed for the resulting polygon coverage and
subsequently these coverages were joined to
generate an updated map.
General Considerations About The Data
The forests cover and population data sets
were the best available that covered the entire
world. Local errors are known to exist in the
mapped distribution of forests cover type. The
population distribution data set was generated
using a spatial modeling technique incorporating
many variables.
The recent database on protected areas were
not available for all countries. Some of the
smaller protected areas may not have been
accounted for due to the coarse resolution of
data. Where information is not available for the
exact extent of a protected area, a point was
inserted representing the center of the site.
Polygons were made for such locations by using
the information in textual databases and drawing
a circular polygon of the relevant area around the
point location of the site. None of these data sets
have been rigorously validated, so local
relationships and distributions should be viewed
with caution. Availability of high-quality, current
global data remains a stubborn barrier in such
analyses, highlighting the need to support
development and updating of such databases.
Global 1-km AVHRR data [
(Remote Sensing) Other global data layers:
Biodiversity population, protected
hotspots boundary areas, country boundary
Global forests cover
~~'~Overlaying ~~ '//
GIS
I Analysis and assessment of global biodiversity hotspot
-
Fig. 1. Data analysis procedure
Fig. 2. The WRCF cover with designated protected areas in the biodiversity hotspots and three major tropical
wilderness areas. Hotspots: (1) Tropical Andes; (2) Mesoamerica; (3) Caribbean; (4) Atlantic Forest region; ~5)
Choco-Darien-Western Ecuador; (6) Brazilian Cerrado; (7) Central Chile: (8) California Floristic Province; (9)
Madagascar; (10) Eastern Arc Mountains and Coastal Forests of Tanzania and Kenya; (11 ) West Africa Forests;
(12) Cape Floristic Region; (13) Succulent Karoo; (14) Mediterranean Basin; (15) Caucasus; (16) Sundaland; (17)
Wallacea; (18) Philippines; (19) Indo-Burma; (20) Mountains of South-central China; (21) Western Gats and Sri
Lanka; (22) Southwest Australia; (23) New Caledonia; (24) New Zealand; arid (25) Polynesia and Micronesia.
Maior tropical wildeness areas: (A) Upper Amazonia and Guyana Shield; (B) Congo River Basin~ (C) New Guinea
and Melanesian Islands.
Fig. 3. Population pressure in and around WRCF in 25 hotspots and three major tropical wilderness areas
( 1-25 and A-B; see map for names and locations Fig. 2)
Fig. 4. Human population live in and around WRCF in 25 hotspots and three tropical wilderness areas (I-25 and A-
B; see map for names and locations Fig. 2). Green: percentage of low population pressure; Yellow: percentage of
medium population pressure; and Red: percent of high population pressure.
108 Hua Shi and Ashbindu Singh
Methodology
Data was processed using remote sensing
and GIS software package (ERDAS Imagine and
Arc/Info, 2000). Most of the work was carried
out in the GRID module of ARC/INFO. Raster
and vector data layers were in an Interrupted
Goode Homolosine Projection, which is an equal
area projection. All raster data sets had a cell size
of 1000 m (1-km), Fig. 1.
The data layers were analyzed individually
or combined with other data layers in order to
see possible interrelations or possible spatial
relationships among them. For example, the
original extent of biodiversity hotspots layer,
population density layer and country boundaries
layer were digitally overlaid in order to assess
the population pressure on the each hotspot by
countries.
The
World's Remaining Closed Forests
Detailed analysis of forest cover for each
original extent of the 25 biodiversity hotspots
and three extensive tropical wilderness areas
(Myers
et al.,
2000), derived from the NOAA
AVHRR for the period 1995 (Singh
et al.,
2001),
was utilized to assess the actual extent and
distribution of the remaining closed forests.
Closed forest is defined as lands of forest cover
with canopy .density of 40% and greater. The
definition of 40% coverage is appropriate
because it can be estimated with ease: when the
coverage of the trees is 40% the distance
between two tree crowns equals the mean radius
of a tree crown (UNESCO, 1973).
The closed forest cover distribution by
biodiversity hotspots was estimated by
combining original extent of hotspots boundary
grids with the closed forests cover classes. In
each hotspot, the total number of closed forest
coverceUs was summed and then divided by the
original extent of the area, thus resulting in the
percent area covered by closed forests within
each hotspot. Conservation International
provided the original the biodiversity database.
Protection status
The protected area status of the closed
forests in 25 biodiversity hotspots and 3
wilderness was estimated by combining the
protected area grid with the closed forests
distribution grid, and biodiversity hotspots
boundary grid. Within each protected area, the
number of closed forests cover cells were
counted and then summed by each hotspot for
each closed forest area.
Population distribution and pressure
The number of people was estimated for
closed forest area by each hotspot or countries.
The resulting data has been exported as a
spreadsheet and combined in one graph showing
the population distribution of the closed forests
in each hotspot. The following classification was
used for the analysis of population pressure in
closed forests: (a) low population pressure: < 25
people km -2, (b) medium population pressure:
25-100 people km -2 and (c) high population
pressure: > 100 people km-L
Results and Discussion
The
world's remaining closed forests in the
biodiversity hotspots
The extent of the World's Remaining Closed
Forests (WRCF) in 1995 is estimated at
approximately 2.87 billion hectares, which
occupies about 21.4% of land area of the world
(Table 1). The WRCF occupies about land area
9.25% in Africa, 16.8% in Australia and Pacific,
21.1% in Europe.and Asia, 29% in North and
Central America and 35.44% in South America.
Percentage of WRCF to the total land area is
highest in South America and the lowest in
Africa.
We estimated that the WRCF occupied
25.5%
of the land area in 25 hotspots and 79.5%
9 in three wilderness areas in 1995 (Fig. 2).
The WRCF patterns with protected status in
25 hotspots and three major wilderness areas are
apparent in Fig. 2. The broadest areas of the
WRCF (>30%) can be seen in Wallacea,
An Assessment of Biodiversity Hotspots Using Remote Sensing and GIS... 109
Table
1: Distribution of the WRCF with protected areas in 25 hotspots and 3 wilderness areas km 2, per cent
Biodiversity Hotspots
OE 1
Area per cent
PT 2
WRCF
Total 8703263 18.18
World 24333252 11.83
Congo River basin
New Guinea and Melanesian Is-
lands
2050680 9.68
914016 15.44
Cape Floristic Region 74771 0.98
Caribbean 247423 8.77
Caucasus 556246 2.92
Central Chile 289627 6.21
Choco-Darien-Western Ecuador 223984 10.69
Eastern Arc Mountains and Coastal 191828 15.85
Forests
Guinean Forests of West Africa 879511 4.06
Indo-Burma 2273303 9.08
Madagascar and Indian Ocean 597673 1.12
Islands
Mediterranean Basin 520177 1.83
Mesoamerica 1144270 9.72
Mountains of S. Central China 557260 5.36
New Caledonia i 7301 1.53
New Zealand 257698 11.13
Philippines 280545 3.86
Polynesia and Micronesia 1404 0.37
Southwest Australia 306903 7.04
Succulent Karoo 102840 1.71
Sundaland 1475121 13.10
Tropical Andes 1396569 14.46
Wallacea 317927 13.49
Western Ghats and Sri Lanka 254730 9.09
Total 15629989 8.29
Upper Amazonia and Guiyana 5738567 21.66
Shield
Atlantic Forest 1480400 0.83 106599 7.20 5.07
Brazilian Cerrado 1830910 6.18 253820 ! 3.86 14.47
California Flofistic Province 351568 38.63 134730 38.32 65.84
2601 3.48 0.00
74274 30.02 16.24
.73448 13.20 7.01
60983 21.06 17.94
78354 34.98 14.76
20170 10.51 7.65
280258 31.87 5.34
777654 34.21 14.05
84454 14.13 3.13
25892 4.98 4.07
581703 50.84 14.07
187918 33.72 7.36
3687 21.31 4.53
71332 27.68 19.77
69285 24.70 4.49
0 0.00 0.00
21822 7.11 11.56
0 0.00 0.00
628141 42.58 18.50
236975 16.97 25.75
162988 51.27 18.07
43785 17.19 22.90
4E+06 25.47 15.88
4802966 83.70 21.25
1474946
71.92 10.79
638242 69.83 14.40
6916154 79.50 18.39
28723638 21.43 9.4
Note: 1. OE- Original extent of primary vegetation; PT-Designated protected areas
Area per cent of per cent
Area PT
110 Hua Shi and Ashbindu Singh
Mesoamerica, Sundaland, California Floristic
Province, Chaco-Darien-Western Ecuador, Indo-
Burma, Mountains of South-Central China,
Guinean Forests of West Africa, and the
Caribbean. No closed forests existed in
Polynesia, Micronesia, and the Succulent Karoo.
The Mediterranean Basin had the greatest extent
of non-vegetated land, approximately 60%. The
WRCF cover the most areas in the three wildness
areas (all of them > 69%).
The protection status of the WRCF in
biodiversity hotspots
Global protected areas occupy slightly over
10 million sq km or 7.9% of the global land area
(exclude Antarctic) 134 million sq km. About
9.4% of the WRCF have been accorded some
sort of formal protection status, the highest being
in the South America (19.5%) and the lowest
being in the Eurasia (3.9%). Designated
protected areas occupy approximately 8.3% of
the hotspots including 15.9% of the WRCF. The
percentage of protection status for each hotspot
and wilderness area is shown in Table 1. The
lack of designated protected areas within the
hotspots is alarming. The protection status for
most of the 25 hotspots is less than 10% of the
total land and 20% of the WRCF. The hotspot
with the most protection was the California
Floristic Province with 38.6% of the total land
and 65.8% of the WRCF. The WRCF under
protection status in Upper Amazonia and Guiyana
Shield occupy about 1020849 km 2 or 21.3% of the
total the WRCF. These areas contain vast areas of
intact tropical forests which are biologically richest
areas on the earth. The WRCF under protection
status in New Guinea and Melanesian Islands
occupy slightly over 14.4% of the total WRCF.
Papua New Guinea (PNG) still possesses large
areas of the WRCF. About 85% of the WRCF in
PNG are under moderate or high threat, primarily
from logging, agricultural clearing, and mining.
Population Pressure of the WRCF in
Biodiversity Hotspots
In the year 1995, about 22.7 per cent of the
world's population lived in and around the
original extent of hotspots and wilderness areas,
0.35% in and around the WRCF of 25 hotspots
and 0.7% in and around the WRCF of 3 wildness
areas. We found that 18 of the 25 hotspots have
population percent at or higher than the average
of world (12%) in WRCF, and all of three
wilderness areas have low population pressure
(the area of low population pressure in WRCF is
great than 94%) Fig. 3.
We analyzed the population pressure in the
WRCF of the 25 hotspots and three wilderness
areas (Fig. 4). In the year 1995, high human
population pressure in the 25 hotspots exists in
10.7% of the WRCF. If population pressure in
and around the WRCF are examined in isolation
of the other factors, the four hotspots with the
most elevated risks, as assessed by high human
population pressure, are the Western Ghats/Sri
Lanka, Polynesia and Micronesia (no closed
forests), Philippines and Caribbean hotspots,
while almost all vegetation cover and closed
forest areas in New Caledonia, Southwest
Australia and Brazilian Cerrado are free from
high population pressure. Some recent hotspots
analysis conclude that the hottest hotspots appear
to be the highest-priority of these ecoregions on
the basis of their extreme endemism and the
intense packing of species into a much reduced
area of original vegetation. Human activities in
the biodiversity hotspots areas indicate a high
risk that habitats will continue to degrade as
ecosystems dominated by humans expand and
species become extinct in the world's most
biologically diverse terrestrial regions.
The
Inter-Connections Between People and the
Biodiversity Hotspots
After investigating three topics and
resolving some of issues, our final step was to
determine what are the inter-connections
between people and hotspots. Fig. 5 shows
summary of this study.
Human impact on biodiversity hotspots
increases forests ecosystem vulnerability, which
also increases human awareness and stimulates
human efforts to protect the forests ecosystem.
An Assessment of Biodiversity Hotspots Using Remote Sensing and GIS... ! ! 1
Human impact on the
biodiversity hotspots
(Urbanization, land cover
change, biodiversity loss
etc.)
Decreases
Increases
Ecosystem vulnerability
(Pollution, soil erosion
Ecosystem protection
(Protected area, Land use
planning etc.)
t
Increases awareness
Figure 5. An overall framework for inter-connection between people and biodiversity hotspots
This increased awareness hopefully
decreases future human impacts. In future studies
we hope to explore and investigate the processes
that inter-connect the human impact on
biodiversity hotspots, forests ecosystem
vulnerability, and ecosystem protection.
Summary for policy makers
The seographic analysis of relationships between
protected areas and distribution of the WRCF
and population density clearly revealed the
following facts:
1. Lack of (a) protection status and (b)
effective implementation of protection
measures in the designated protected areas
seems to pose a serious threat to the WRCF
biodiversity.
2. This study using geographic information
system techniques estimates that
approximately 9.4% of the WRCF in
worldwide is protected, and this figure is
based on measuring the spatial extent of
protected areas provided by the World
Conservation Monitoring Centre (WCMC).
This is substantially more than the estimate
of approximately 5%, compiled from official
statistics, again from the WCMC, which is
normally cited in international publications.
This discrepancy highlights the need for
better environmental information
infrastructures in countries to generate and
maintain accurate and up-to-date
environmental data for planning and policy
formulation purposes.
3. About 15.88% in 25 hotspots and 18.39% in
three wilderness areas covered by
biodiversity-rich the WRCF is protected.
The majority of these valuable ecoregions,
rich in biodiversity and en~lemic species, are
concentrated in countries like the Mexico,
Columbia, Ecuador, Peru, Brazil,
Democratic Republic of Congo,
Madagascar, China, India, Malaysia,
Indonesia and Australia, which desperately
need more protection. So practical action
programs that include accelerated expansion
of protected area networks are urgently
needed.
4. In most of the WRCF area, the opportunity
still exists for pro-active measures to
conserve biodiversity. Low human
population pressures in many areas provide
an opportunity to protect such areas for
conservation purposes if action is taken now.
5. The presence of the WRCF in legally
protected areas is an indicator that
biodiversity cannot easily be preserved in
112 Hua Shi and Ashbindu Singh
.
the face of human competition for the same
land. To ensure the preservation of
biodiversity, and of endemic and endangered
species, protected status must be
accompanied by effective long-term
enforcement measures. More effort should
be made to understand the socioeconomic
factors associated with the protection of
biodiversity; local stakeholders must have a
role and economic incentives to conserve
biodiversity.
A shift in national and international policy
formulation and planning processes, based
on targeting biodiversity-rich areas, is
needed to protect biodiversity more
effectively in 25 hotspots and three tropical
wilderness areas. Geographic targeting and
programmatic focus are both needed to
conserve ecoregions rich in biodiversity and
endemism, plus address the socioeconomic
causes of encroachment and subsequent loss
of biodiversity.
Acknowledgements
We are grateful to the United Nations
Environmental Programme (UNEP), National
Aeronautics and Space Administration (NASA)
and United States Geological Survey (USGS) for
financial support. We are grateful to Dr. Tom
Loveland, Dr. Zhiliang Zhu and his team for
generating and providing the land cover
distribution data set. Also we appreciate Dr. E.A.
Forsnight, Dr. R. Singh, Mr. R. Auch, Mr. R.
Reker, Mr. M. Ernste and Ms. K. Giese for their
valuable comments and contributions.
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The high rate of timber harvest from the forest without any replacement is hostile to the achievement of the objectives of sustainable forest management in Nigeria. The study was carried out to investigate the rate of timber harvest in Ondo state, Nigeria. Secondary data on logging activities from both forest reserves and free areas between 2013 and 2019 in the three forestry administrative zones - Akure, Ore, and Okitipupa were collected from the Ondo state department of forestry official records, files and annual reports. Analyses were carried out using Statistical Package for Social Science (SPSS). One-Way Analysis of Variance (ANOVA) was used to test for significant difference in the number of stems and volumes extracted between 2013 and 2019 in the study area. Results revealed that 49,063 and 8409 stems were harvested from free areas and reserves respectively within this period. It was showed that 118323.0m3 and 19022.1m3 stem volume were also removed from free areas and forest reserves respectively. Generally, there was significant difference (p<0.05) in the number of stems and volumes removed from free areas and forest reserves within these years. The study concluded that unregulated timber harvest is a threat to biodiversity conservation and recommended that conservative measures should be put in place to protect forest areas from deforestation and that more protected area should be established.
... One of the richest terrestrial ecosystems is constituted in tropical forests supporting various life forms that indeed maintain high biodiversity (Shi and Singh, 2002). Eighty-six percent of the forest land is contributed by tropical forests in India while contribution of tropical dry deciduous forest and moist deciduous forest is 53% and 37%, respectively. ...
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Purpose This study aims to assess the biodiversity of the study area and estimate the carbon stock of two dry deciduous forest ranges of Banka Forest Division, Bihar, India. Design/methodology/approach The phytosociological analysis was performed and C stock estimation based on volume determination through nondestructive methods was done. Findings Phytosociological analysis found total 18,888 [14,893 < 10 cm (diameter at breast height) dbh] and 2,855 (1,783 < 10 cm dbh) individuals at Banka and Bounsi range with basal area of 181,035.00 cm ² and 32,743.76 cm ² , respectively. Importance value index was highest for Shorea robusta in both the ranges. Species diversity index and dominance index, 1.89 and 1.017 at Banka and 1.99 and 5.600 at Bounsi indicated the prevalence of biotic pressure. Decreased dbh and tree height resulted in a lowered growing stock volume as 59,140.40 cm ³ ha ⁻¹ (Banka) and 71,306.37 cm ³ ha ⁻¹ (Bounsi). Total C stock at Banka and Bounsi range was 51.8 t ha ⁻¹ and 12.56 t ha ⁻¹ , respectively where the highest C stock is recorded for Shorea robusta in both the ranges (9.8 t ha ⁻¹ and 2.54 t ha ⁻¹ , respectively). A positive correlation between volume, total biomass and basal area of tree species with C stock was observed. R ² value for Banka range was 0.9269 (volume-C stock), 1 (total biomass-C stock) and 0.647 (basal area-C stock). Strong positive correlation was also established at Bounsi range with R ² value of 1. Considering the total forest area enumerated, C sequestration potential was about 194.25 t CO 2 (Banka) and 45.9 t CO 2 (Bounsi). The valuation of C stock was therefore US$2,525.25 (Banka) and US$596.70 (Bounsi). Practical implications The research found the potentiality of the study area to sequester carbon. However, for future, the degraded areas would require intervention of management strategies for restoration of degraded lands and protection of planted trees to increase the carbon sequestration potential of the area. Originality/value Present study is the first attempt to assess the phytosociology and estimate the regulatory services of forest with respect to biomass and carbon stock estimation for the Banka forest division of Bihar.
... Tropical forest ecosystems are the richest terrestrial ecosystem which supports a variety of life forms (Shi and Singh 2002) and have the bulk of biodiversity. These forests now face severe threats, caused by both natural as well as anthropogenic means, which accelerate the degradation of forest ecosystem. ...
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Tropical forests play a key role for functioning of the planet and maintenance of life. These forests support more than half of the world's species, serve as regulators of global and regional climate, act as carbon sinks and provide valuable ecosystem services. Forest floor biomass and litterfall dynamics was measured in different sites influenced by fire in a seasonally dry tropical forest of Bhoramdeo wildlife sanctuary of Chhattisgarh, India. The forest floor biomass was collected randomly placed quadrats while the litterfall measured by placing stone-block lined denuded quadrat technique. The seasonal mean total forest floor biomass across the fire regimes varied from 2.00-3.65t\;ha^{-1}. The total litterfall of the study sites varied from 4.75-7.56t\;ha^{-1}\;yr^{-1}. Annual turnover of litter varied from 70-74% and the turnover time between 1.35-1.43 years. Monthly pattern of forest floor biomass indicated that partially decayed litter, wood litter and total forest floor were differed significantly. The seasonal variation showed that leaf fall differed significantly in winter season only among the fire regimes while the wood litter was found non significant in all the season. This study shows that significant variation among the site due to the forest fire. Decomposition is one of the ecological processes critical to the functioning of forest ecosystems. The decomposing wood serves as a saving account of nutrients and organic materials in the forest floor. Across the site, high fire zone was facing much of the deleterious effects on forest floor biomass and litter production. Control on such type of wildfire and anthropogenic ignition could allow the natural recovery processes to enhance biological diversity. Chronic disturbances do not provide time for ecosystem recovery; it needs to be reduced for ecosystem health and maintaining of the high floral and faunal biodiversity.
... The number of trees obtained per hectare in the three protected areas SNR (264), Buffer Zone (198) and Enrichment Planting (72), similar to what was obtained by (Onyekwelu et al., 2007). Most tropical forest ecosystems are rich in floristic composition,this results in a variety of life forms and preservation of global biodiversity (Shi & Singh, 2002). Biodiversity indices are generated to compare forests compositions and similarities of different species. ...
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The roles of protected areas in biodiversity conservation were assessed in this study. This was achieved by assessing tree species diversity and volume yield of three protected areas in Akure Forest Reserve, Ondo State, Nigeria. Two sampling plots of 50 m × 50 m were laid in each of the sites using systematic line transect. Trees with DBH >10cm were identified in each plot, their frequency of occurrence were ascertained and categorized into families. All tree growth variables were measured in each of the study sites. The results obtained from this study indicated that the three selected protected areas within the forest reserve are rich in trees species. A total of 264 stems ha-1 were observed in the SNR, 198 stems ha-1 were recorded in the Buffer zone and Enrichment Planting had 72 stems ha-1. The number of tree species observed in SNR, Buffer Zone, Enrichment Planting followed the order of 37> 31 >25. Shannon Weiner index of 2.97, 3.10 and 3.00 were obtained in the buffer zone, SNR and Enrichment planting site respectively. SNR had the highest volume of 461.74 m3 ha-1, this was followed by the Buffer zone with 424.46 m3 ha-1 and the Enrichment planting (138.28 m3 ha-1). The high biodiversity indices are indication that biodiversity can be conserved through in situ method if proper managerial actions are put in place. The study therefore recommended that the remaining protected areas should be safeguarded from anthropogenic activities and more protected areas be established.
... Tropical forest ecosystem is one of the richest biodiversity rich terrestrial ecosystems, which stores approximately half of the world living terrestrial carbon and a very significant proportion are fixed in the form of above ground biomass, thus they play an important role in global carbon cycle and regulating the biospheric climate. Besides, these forest ecosystems also support variety of life forms and maintain huge global biodiversity (Shi et al., 2002). Through carefully planned forest carbon and biomass estimation projects we check the ability of forests to function as net carbon sinks, planning that will require accurate data on the carbon contained within tree species. ...
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The present study deals with the estimation of tree density, basal area, biomass and carbon status with the help of nondestructive allometric equations method in tropical deciduous forest in 0.1 ha permanent plots, established in twenty sites in four districts of state of Madhya Pradesh in central India. The volume of tree was calculated using site specific local or regional volume equation. The biomass of each species was estimated taking tree volume and species specific gravity. The relationship between basal area and above ground biomass showed positive correlation for all sites and forest types. Field measurements for density ranged from 147 trees ha-1 to 777.5 trees ha-1 while basal area were 0.6 m 2 ·ha-1 to 10.72 m 2 ·ha-1. The biomass ranged from 3.99 t·ha-1 to 53.90 t·ha-1 and carbon stock from 1.89 t·ha-1 to 25.6 t·ha-1 across the all different study sites. This study concludes that tropical deciduous forests of the studied area in Madhya Pradesh are having strong potential for carbon sequestration. Estimation of above ground tree biomass in the present study provides data for tropical deciduous forests covering a large part (24.66%) of state for further use.
... Tropical forest ecosystems are one of the richest terrestrial ecosystems which support a variety of life forms and maintain huge global biodiversity (Shi & Singh, 2002). The forests of southwestern Cameroon are generally known to be rich in species diversity because they are located within the high rainfall zone of the Guinean equatorial tropical forest. ...
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Tree composition and ecological structure were assessed in Akak forest area with the objective of assessing the floristic composition and the regeneration potentials. The study was carried out between April 2018 to February 2019. A total of 49 logged stumps were selected within the Akak forest spanning a period of 5 years and 20m x 20m transects were demarcated. All plants species <1cm and above were identified and recorded. Results revealed that a total of 5239 individuals from 71 families, 216 genera and 384species were identified in the study area. The maximum plants species was recorded in the year 2015 (376 species). The maximum number of species and regeneration potentials was found in the family Fabaceae, (99 species) and (31) respectively. Baphia nitida, Musanga cecropioides and Angylocalyx pynaertii were the most dominant plants specie in the years 2013, 2015 and 2017 respectively. The year 2017 depicts the highest Simpson diversity with value of (0.989) while the year 2015 show the highest Simpson dominance with value of (0.013). The year 2013 show a highest Shannon evenness with value of (0.4879). Logged compartment 2015 has a highest fisher alpha with value of 137.7 depicting highest specie richness The Shortest Euclidean distance of 123.44 between year 2013 and 2017 show that they both have many plants species that are similar. Evidently the forest area is very rich in trees in the lower diameter classes, and the structure of the Akak forest area is J reverse indicating that the forest is growing to climax.
... Tropical forest ecosystem is one of the rich terrestrial ecosystems, which stores approximately half of the world living terrestrial carbon and a very significant proportion is fixed in the form of above ground biomass, thus it plays an important role in global carbon cycle and regulating the biospheric climate. Besides, these forest ecosystems also support variety of life forms and maintain huge global biodiversity (Shi and Singh, 2002). Estimation of standing state tree biomass is an essential aspect of carbon sequestration studies since it constitutes about 60% of total phytobiomass (Ketterings et al., 2001). ...
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The present study carried out for the estimation of tree density, basal area, standing tree biomass, carbon stock and carbon sequestration potential, using nondestructive allometric volume equations method in tropical deciduous forest in 0.1 ha permanent plots, established in thirty two sites in eight districts of Madhya Pradesh. The volume of tree was calculated using site specific local or regional volume equation. The biomass of each species was estimated by using tree volume and species specific gravity. The present study revealed the wide range of variation in tree density, basal area, standing biomass, carbon stock and carbon sequestered. The field measurements for tree density ranged from 203 trees ha-1 to 1225 trees ha-1, while basal area were 1.7 m2 ha-1 to 13.3 m2 ha-1. The standing tree biomass ranged from 9.9 t ha-1 to 146.2 t ha-1, carbon stock ranged from 4.7 t ha-1 to 68.7 t ha-1 and carbon sequestration potential ranged from 17.1 t ha-1 to 252.1 t ha-1 across the all different study sites. A positive relationship was also revealed between biomass and basal area. This study concludes that, tropical deciduous forests of the studied area viz., Mandla, Katni, Rewa, Jabalpur, Betul, Chhindwara, Satana and Chhattarpur in Madhya Pradesh are having strong potential to sequester the carbon.
... This basic study on plant community structure is studied in most of the developed countries (Hamzaoglu 2005, Tel et al. 2010. Large number of global biodiversity is maintained through tropical forest ecosystems supporting diverse forms of life (Shi & Singh 2002).Several ecosystem processes like nutrient cycling, biomass production are controlled by plant community where community structure and plant diversity plays a key functional role (Gower et al. 1992). A strong correlation between structural and species diversity also exists (Sahu et al. 2008).In due course of time, tropical forests are dwindling in an alarming state. ...
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Forest ecosystem has its own characteristics that is determined by forest structure and composition that indeed is influenced by several edaphic factors and biotic interference. Therefore, phytosociological studies of a forested land are one of the pre requisite for developing forest management strategies. The study was conducted at Banka Forest Division of Banka district, Bihar. This work resulted in a significant study on floral structure and composition spreaded over the wholeforest division. In this study, 43 tree species were recorded with 38 genera and 19 families. Highest Importance Value Index is recorded for Shorea robusta (54.33) followed by Madhuca indica (32.91), Acacia auriculiformis (29.91), Tectona grandis (24.12), Terminalia tomentosa(16.85), Acacia catechu (11.28), Buchanania latifolia (11.15), Butea monosperma (7.87), Cochlospermum religiosum (7.72) and Soyemida febrifuga (6.70). Shannon Weiner Index (H') and Simpson Index value is 2.162 and 0.177 respectively. Tree density is found to be 800 trees/ha. Basal 2cover of the area is 7659.79 cm / ha. This study would also help other forestry practitioners, foresters, environmentalists, ecologists, conservationists, scientists, social workers with knowledge who works for ecosystem management.
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Vegetation structure, above-ground biomass (AGB) and carbon density was compared between two different vegetation types of Dharwad district inKarnataka. Results revealed significant differences between vegetation types for different parameters studied. Higher species richness (36 species) and diversity (H’=0.34) was recorded in dry deciduous forest followed by moist deciduous forest (27 species, H’=0.38). Similarly, tree density (119 stems ha-1) was greater in dry deciduous forest compared to moist deciduous forest (59 stems ha-1). Conversely, higher basal area of 20.58 m2ha-1 was recorded in moist deciduous forest compared to dry deciduous forest (10.28 m2ha-1). The tree layer contributed most (32.62-74.78 Mg ha-1) to the total AGB followed by shrub (10.08-19.61 Mg ha-1) and herb layer (1.16 -1.48 Mg ha-1) in both forest types. Carbon density ranged between 36.28-74.78 Mg C ha-1across different forest types. The majority of AGB and carbon pool in our study was found within taller trees and trees with a larger diameter therefore, their removal substantially alters the C storage and dynamics in this region. Land-use systems with higher C sequestration potential are currently supported under REDD+projects that focus on forest conservation and management Vegetation Structure and Above Ground Biomass Carbon in Dry and Moist Deciduous Forests of Dharwad District in Karnataka, India. Available from: https://www.researchgate.net/publication/326266269_Vegetation_Structure_and_Above_Ground_Biomass_Carbon_in_Dry_and_Moist_Deciduous_Forests_of_Dharwad_District_in_Karnataka_India [accessed Aug 04 2018].
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Researchers from the U.S. Geological Survey, University of Nebraska- Lincoln and the European Commission' s Joint Research Centre, Ispra, Italy produced a 1km resolution global land cover characteristics database for use in a wide range of continental- to global-scale environmental studies. This database provides a unique view of the broad patterns of the biogeographical and ecoclim- atic diversity of the global land surface, and presents a detailed interpretation of the extent of human development. The project was carried out as an International Geosphere- Biosphere Programme, Data and Information Systems (IGBP-DIS) initiative. The IGBP DISCover global land cover product is an integral compon- ent of the global land cover database. DISCover includes 17 general land cover classes deé ned to meet the needs of IGBP core science projects. A formal accuracy assessment of the DISCover data layer will be completed in 1998. The 1km global land cover database was developed through a continent-by- continent unsupervised classié cation of 1km monthly Advanced Very High Resolution Radiometer (AVHRR) Normalized Di Ä erence Vegetation Index (NDVI) composites covering 1992- 1993. Extensive post-classié cation stratié ca- tion was necessary to resolve spectral/temporal confusion between disparate land cover types. The complete global database consists of 961 seasonal land cover regions that capture patterns of land cover, seasonality and relative primary productivity. The seasonal land cover regions were aggregated to produce seven separate land cover data sets used for global environmental modelling and assess- ment. The data sets include IGBP DISCover, U.S. Geological Survey Anderson System, Simple Biosphere Model, Simple Biosphere Model 2, Biosphere- Atmosphere Transfer Scheme, Olson Ecosystems and Running Global Remote Sensing Land Cover. The database also includes all digital sources that were used in the classié cation. The complete database can be sourced from the website: http://edcwww.cr.usgs.gov /landdaac/glcc/glcc.html.
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Conservationists are far from able to assist all species under threat, if only for lack of funding. This places a premium on priorities: how can we support the most species at the least cost? One way is to identify 'biodiversity hotspots' where exceptional concentrations of endemic species are undergoing exceptional loss of habitat. As many as 44% of all species of vascular plants and 35% of all species in four vertebrate groups are confined to 25 hotspots comprising only 1.4% of the land surface of the Earth. This opens the way for a 'silver bullet' strategy on the part of conservation planners, focusing on these hotspots in proportion to their share of the world's species at risk.
An assessment of the world remaining closed forests
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Hotspots: Earth's Biodiversity Richest and Most Threatened Ecosystems
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