1. Introduction
The world is currently experiencing a climate crisis due to global warming caused by anthropogenic emissions of greenhouse gasses (GHGs) [1]. Globally, the primary GHG, carbon dioxide, has been emitted mainly from the increased burning of fossil fuels since 1850 [2]. According to the IPCC Sixth Assessment Report [1], without a rapid reduction in global GHGs emissions to achieve net-zero CO2 emissions by around 2050, followed by net-negative emissions by 2100, it will be nearly impossible to limit the global temperature increase to 1.5 °C above pre-industrial levels by the end of this century. This limit was ideally defined by the Paris Agreement in 2015 [3], aiming to reduce the risks and impacts of climate change [4].
A significant portion of the Earth’s carbon is stored as organic carbon in terrestrial ecosystems, including vegetation and soils, mainly in tropical forests, which are important sinks for this element [5]. Large amounts of carbon in these forests are stored in the aboveground biomass (AGB) of trees [6]. For instance, many studies have quantified the AGB and/or aboveground carbon (AGC) stocks in neotropical forests [7,8], with emphasis on the Amazon forest [9,10]. These studies have contributed to assessing the potential of these ecosystems for mitigating climate change and have highlighted the risks of emissions from deforestation and global warming [11,12].
The rapid urbanization process in recent decades has significantly altered the carbon cycle and exacerbated the impact of climate change, prompting many cities to implement tree planting and green area preservation, as mitigation and adaptation measures [13]. However, the extent and potential of carbon sinks in urban green spaces remain uncertain due to the inherent variability in these sinks and the limited availability of data. In addition to sequestering and storing carbon, urban trees and forests (i.e., forest stands within urban areas) provide a range of environmental and social services, such as shading, temperature reduction, air quality improvement, rainwater runoff reduction, and noise abatement [14,15,16]. These valuable services are especially provided by urban wooded areas. Botanic gardens serve an additional function, as sites dedicated to conserving living plant collections, and often include many trees. While some studies have estimated the carbon stocks of urban trees in temperate and subtropical cities [16], data from tropical cities remain scarce [13,17], including from tropical botanic gardens [18,19].
Urban trees tend to have different architecture than forest trees [16] due to the diverse environmental conditions they experience. Although competition for light and other resources with neighboring trees is reduced, urban environments impose a series of stressors, including pollution, limited growth space, and mechanical damage [13,20]. In botanic gardens, however, more favorable environmental conditions and silvicultural practices mitigate most of the stressors found in other urban environments.
Botanic gardens have been recognized as strategic for global plant conservation, including the ex situ conservation of endangered species, scientific research, horticultural development, plant reintroduction, display, education, and outreach [21,22,23]. However, they have so far been neglected as important carbon storage and sequestration sites [24]. According to Botanic Gardens Conservation International, there are approximately 500 botanic gardens/arboreta in the tropics [25]. Although most of these tropical gardens have a landscaped area of less than 50 hectares, they likely play a crucial role in carbon sequestration in many tropical cities and, together with other urban trees and forests, help to mitigate the urban heat island effect [26].
Ferreira et al. [19] integrated tree structural attributes with UAV-borne hyperspectral and light detection and ranging (LiDAR) data to demonstrate how this approach can be used to estimate the AGB in approximately 29 hectares of the Rio de Janeiro Botanical Garden arboretum, located in the city of Rio de Janeiro, Brazil, aiming to improve and optimize AGB estimations in urban forests. Using allometric equations for biomass, they estimated a total AGB of 5627 Mg (megagrams; 1 Mg = 1000 kg) and a density of 191.4 Mg·ha−1. In this study, we used tree structural attributes and allometric equations to estimate the AGB and AGC stored in the entire area of the arboretum and compared the results with those from urban trees and forests in different cities. Our primary objective was to highlight the potential of tropical botanic gardens in mitigating the effects of climate change at a local scale in urban environments.
2. Materials and Methods
The Rio de Janeiro Botanical Garden (Figure 1 and Figure 2), located in the southern part of the city of Rio de Janeiro, Brazil, was established in 1808, when the Portuguese royal family arrived in Brazil. Initially, it served as an acclimatization garden for spices from the East. The Lagoa Rodrigo de Freitas farm was expropriated for this purpose, and a gunpowder factory and foundry were also installed to supply the artillery [27]. Throughout its history, the Rio de Janeiro Botanical Garden arboretum has undergone numerous landscaping and scientific interventions, becoming one of the most important in Brazil. Several initiatives were undertaken to inventory and map the specimens cultivated in the arboretum, with a notable emphasis on the project ‘Inventory and Identification of the Botanical and Historical Collections of the Arboretum of the Rio de Janeiro Botanical Garden’, initiated in 1999 [28]. Currently, the arboretum is divided into 41 sections, 215 beds, and 122 alleys, comprising 38.80 hectares [29]. This living collection comprises 6960 specimens, from 134 families and 1420 species, with more than 60% native to Brazil. The collection stands out for its large number of tree specimens. In addition to the tree collection, the Rio de Janeiro Botanical Garden also contains an area of secondary remnants of the Atlantic Forest, which was not included in this study.
We conducted a survey of all trees, comprising gymnosperms and angiosperms (magnoliids, arborescent monocots [e.g., Arecaceae, Asparagaceae, Pandanaceae, and Strelitziaceae], and eudicots), with a diameter at breast height (DBH; 1.3 m) ≥ 10 cm, between April 2021 and September 2022. Bamboos and lianas were excluded from this study. For each individual surveyed, we measured the DBH with a standard measuring tape, and the total height (for arborescent monocots, Cycadaceae, and Zamiaceae, the height of the stem) was measured using a Bosch digital laser measure, model GLM 120 C. For individuals branching below 1.3 m, all stems with a DBH ≥ 10 cm were measured. Occasionally, adjustments were made to the trunk diameter measurement point (e.g., trees with buttress roots), following the Brazilian Research Program on Biodiversity protocol [30]. Part of the data used in this study came from Ferreira et al. [19].
We employed three different allometric models tailored to each taxonomic component under assessment (Table 1). Firstly, for gymnosperms (excluding Cycadaceae and Zamiaceae), magnoliids, and eudicots, we utilized the allometric model developed for large and small urban trees in Singapore [13]. Secondly, for palms, we applied the family-level model developed and recommended by Goodman et al. [31], which was also extended to other arborescent monocots, Cycadaceae, and Zamiaceae, due to their architectural similarities with palms. Thirdly, we used a model developed specifically for Ravenala madagascariensis Sonn. [32]. We converted the AGB to AGC by multiplying by 0.5 [13] and then adjusted by multiplying by 3.6667 to estimate the CO2 equivalent [33]. Considering that different authors present their results in terms of AGB or AGC, both quantities are presented in our study.
To determine the wood density (p) of eudicots, magnoliids, and gymnosperms (excluding Cycadaceae and Zamiaceae), we used the global wood density database [34,35]. Calculations for these taxonomic groups were performed using the Biomass R package [36].
Additionally, we acknowledge that there is an error in estimating biomass and carbon. This error encompasses uncertainties in the allometric equations, wood densities, dry mass fractions, and conversion factors used, as well as inaccuracies in measuring the diameter at breast height (DBH) and height. Although predicting the estimation error is challenging [15], we conservatively applied a margin of error of 5% to our estimates.
3. Results
Our database comprised 6793 stems from 4633 specimens registered in the collection, belonging to 830 taxa (including species, infraspecies, and hydrids) and 78 botanical families. Among the measured specimens, 218 did not have taxonomic identification even at the family level and were classified as indeterminate. The heights ranged from 1.3 to 44.4 m, with a mean of 13 m. The interval of the DBH was 10.2 to 224.5 cm, with a mean of 34.3 cm (Table S1).
The total AGB stored in the trees at the Rio de Janeiro Botanical Garden arboretum was 8047 ± 402 Mg, representing 4024 ± 201 Mg of AGC and 14,753 ± 738 Mg of CO2 equivalent. The mean amount (density) of AGB and AGC per unit area was 207 ± 10 and 104 ± 5 Mg·ha−1, respectively.
The AGB was not evenly distributed throughout the area, being concentrated mainly in the ‘Amazon Region’, which contained 2366 ± 118 Mg of AGB, accounting for approximately 29% of the amount stored at the arboretum (Figure 2 and Figure 3). The ‘Amazon Region’ was idealized during the administration of Antônio Pacheco Leão (1915–1933), in an area with abundant water resources. For around 20 years, the naturalist Adolpho Ducke collected tree species from the Brazilian and Peruvian Amazon and introduced them in this area of the arboretum. After a century, this important historical living collection now includes many large trees, such as Anacardium giganteum W.Hancock ex Engl., Bertholletia excelsa Bonpl., Calycophyllum spruceanum (Benth.) K.Schum., Carapa guianensis Aubl., Ceiba pentandra (L.) Gaertn., Hevea brasiliensis (Willd. ex A.Juss.) Müll.Arg., Parkia pendula (Willd.) Benth. ex Walp., Simarouba amara Aubl., Spachea lactescens (Ducke) R.F.Almeida & M.Pell., and Swietenia macrophylla King. Moreover, there are other smaller AGB hotspots scattered throughout the arboretum (Figure 3), where many large trees are concentrated (e.g., Cariniana estrellensis (Raddi) Kuntze, Dalbergia nigra (Vell.) Allemão ex Benth., Hymenaea spp., Lecythis pisonis Cambess., Parkia spp., Plathymenia reticulata Benth., and Virola surinamensis (Rol. ex Rottb.) Warb.).
The 530 specimens of Roystonea oleracea (Jacq.) O.F.Cook, popularly known as the Imperial Palm, and a prominent symbol of the Rio de Janeiro Botanical Garden, store 1962 ± 98 Mg of AGB. This species is concentrated along the two main alleys, which form an inverted ‘T’, as shown in Figure 3. The substantial amount of AGB along these alleys is related to the large size of many of the Imperial Palm specimens (height up to 42.3 m; diameter at breast height [DBH] up to 85.3 cm) and the close spacing between them (approximately 4.5 m; see also Figure 1).
A specimen of Samanea saman (Jacq.) Merr., likely planted in 1956, has the highest measured AGB, totaling 39.3 Mg. Other trees also stand out for their significant amounts of AGB (Table 2). The two specimens of Khaya senegalensis A.Juss. were introduced in 1952, and the specimen of Eucalyptus globulus Labill. dates back to 1933. Although the precise age of these other specimens cannot be determined, they are likely between 70 and 90 years old or possibly older. The palm family (Arecaceae) and the legume family (Leguminosae), the most representative families in terms of specimens and species in our arboretum collection, stored 2399 ± 120 and 1431 ± 72 Mg of AGB, approximately 30 and 18% of the total stored in this area, respectively.
4. Discussion
The total amount of AGB estimated in this study for the entire area of the Rio de Janeiro Botanical Garden arboretum was greater than the amount estimated by Ferreira et al. [19] due to the different extents of both inventories (8047 ± 402 Mg in 38.80 hectares vs. 5627 Mg in 29.4 hectares). On the other hand, the AGB density values (207 ± 10 vs. 191.4 Mg·ha−1) were almost identical, despite the differences in the allometric equations used in both studies. In terms of the CO2 equivalent, the amount stored was 14,753 ± 738 Mg, which corresponds approximately to the annual emissions of a small Brazilian municipality with around 7000 inhabitants [37].
Although the AGB stocks are not uniformly distributed throughout the arboretum, the density value stored (207 ± 10 Mg AGB·ha−1) is high and only slightly lower than the average values (± 1 standard deviation) stored in mature areas of the Brazilian Atlantic Forest, which include different forest types (267.0 ± 85.8 Mg AGB·ha−1; trees with DBH ≥ 5 cm [38]), and in dense (299.0 ± 59.4 Mg AGB·ha−1) and non-dense (266.6 ± 66.3 Mg AGB·ha−1) forests in the Brazilian Amazon (trees with DBH ≥ 10 cm; [7]). The relatively high biomass and carbon density in the arboretum is probably related to the age of the collection (around 200 years old), management practices, and the high number of trees.
In urban environments, trees perform important environmental services, such as carbon storage [14]. However, the carbon density is much lower than in natural forested environments because space in cities is shared with various types of buildings and roads (see below). Although there are differences related to the specific climatic conditions of each city, urbanization patterns, composition, and age structure of urban trees, methodological differences in assessment (e.g., scope of the sampled urban mosaic, sampling method, and tree inclusion criteria) make direct comparisons difficult [39]. Even so, it is possible to compare the order of magnitude of what is stored in some cities, in terms of carbon density, with the values found in the Rio de Janeiro Botanical Garden arboretum (Table 3). If we apply the factor of 1.26, used by Nowak et al. [15] and Velasco and Chen [13], to include what is stored in the roots of the arboretum’s trees, our estimates of biomass and carbon rise to 261 ± 13 and 131 ± 7 Mg·ha−1, respectively. The values of carbon density from Nowak et al. [15], shown in Table 3, were calculated based on data of carbon storage per unit of tree cover and percent tree cover in the measured cities and represent the lowest and highest values among 28 cities in the United States.
Table 3 shows that when carbon density is estimated for entire urban areas or neighborhoods, the values are low [13,15,41], mainly because trees share space with urban infrastructure (e.g., buildings, streets, and sidewalks). On the other hand, the carbon density in urban green spaces under temperate [40] or tropical climates [18], including the National Botanical Gardens, small forest fragments in monasteries, and urban coffee farms in Pyin Oo Lwin, Myanmar, is high and comparable to or even higher than the value found in the Rio de Janeiro Botanical Garden arboretum. The high carbon density estimated by Malage [42] comes from a small, well-preserved urban remnant of mixed Atlantic Forest (Araucaria forest) in the subtropical city of Curitiba, Southern Brazil. Conversely, Líndén et al. [39] estimated relatively low carbon density in urban constructed parks in Helsinki, Finland, under cold climate conditions, which was attributed to a low density of trees (around 150 trees/ha).
In recent years, tropical home gardens have been suggested as potential sites for conserving biodiversity and storing carbon [43]. In this context, Padmakumar et al. [44] and Lowe et al. [43] estimated carbon density in several urban home gardens (0.02–1 ha) in India and Sri Lanka, respectively (Table 3). The wide range of values reported by Lowe et al. [43] was mainly attributed to differences in tree density and species diversity.
The comparisons above indicate that trees in various well-managed urban green spaces can store significant amounts of carbon per unit area, reinforcing their potential role in mitigating and adapting to urban-scale climate change. Our results underscored the importance of the Rio de Janeiro Botanical Garden arboretum in providing this ecosystem service, and we hope it will inspire new studies in other tropical botanic gardens and green spaces worldwide. Such research is essential for informing climate change and sustainable development policies in cities.
For instance, the city of Rio de Janeiro is privileged to have its green spaces, which include two large forest remnants (Tijuca National Park and Pedra Branca State Park), several smaller protected areas, the Rio de Janeiro Botanical Garden, and numerous public squares. Additionally, many trees are planted along public roads and on private properties. According to preliminary data [45] and based on SMAC [46] and PCRJ [47], the city has approximately 34 million trees across its 120,033 hectares, averaging 283 trees per hectare and 5.5 trees per inhabitant. This estimate encompasses trees in various cover classes, such as native vegetation, reforestation, non-forest arboreal vegetation, and urban afforestation. Despite the uneven distribution of trees and green areas throughout the city of Rio de Janeiro [48], these numbers underscore the potential role of this tree cover in mitigating and adapting to climate change at a local scale.
On the other hand, while the carbon density of urban trees is relatively low on the scale of entire cities or neighborhoods, their total carbon stock can be significant globally. For instance, urban trees in the United States were estimated to store 643 million Mg of carbon, about 3.2% of the total stored in trees across both forested and urban areas in that country [15]. In Europe, Liu et al. [49] estimated that trees outside forests (including urban, agricultural, and grassland areas) contributed to aboveground woody biomass. European forests stored 35.2 billion Mg of biomass, whereas trees outside forests stored 800 million Mg, with a ratio of 40:1. Urban trees stored a total of 220 million Mg (34% of the amount stored outside forests) with an average biomass density of 5.6 (2.5 to 13.2) Mg·ha−1. Although the biomass stock of urban trees in Europe was lower compared to that of the continent’s forests, in the Netherlands, urban areas accounted for 8.2% of the national biomass.
According to the latest Annual Estimates of Greenhouse Gas Emissions in Brazil [50], preserved forests and grasslands in protected areas (including public conservation units and indigenous lands) stored 374.45 million Mg of CO2 equivalent in 2020, almost entirely within the still preserved Amazon biome (344.97 million Mg). In contrast, the highly fragmented Atlantic Forest biome, which occurs along most of the Brazilian coast and occupies an area of approximately 1100,182 km2 [51], stored 6.93 million Mg of CO2 equivalent in its protected areas. This biome is home to over 145 million people (two-thirds of the Brazilian population) and includes many of the country’s largest urban centers [52]. These estimates encompass living and dead biomass, both above- and belowground, and are used to offset the national GHG emissions. Additionally, in 2015, protected areas in the state of Rio de Janeiro, entirely within the Atlantic Forest biome, stored 567.2 thousand Mg of CO2 equivalent [53]. However, official reports have not explicitly addressed the carbon stored in trees and urban forests within these protected areas, an important consideration given their presence in urban contexts, such as in the city of Rio de Janeiro. Nonetheless, our results underscore the potential contribution of urban trees and forests to carbon accounting within the highly fragmented and densely populated Brazilian Atlantic Forest biome.
Conceptualization, B.C.K. and M.F.d.S.; methodology, B.C.K.; field measurements, B.C.K., T.M.H.d.A., M.A.N.C., R.M.T., D.R.G., L.K.M., R.G.-O. and C.F.B.; data tabulation, B.C.K. and L.S.J.D.; formal analysis, B.C.K. and M.F.d.S.; writing—original draft preparation, B.C.K.; writing—review and editing, T.M.H.d.A., M.A.N.C., D.R.G. and M.F.d.S.; project administration, B.C.K. and T.M.H.d.A. All authors have read and agreed to the published version of this manuscript.
Not applicable.
The data supporting the reported results can be found in
The authors thank Alline Figueira de Paula, Amanda Pacheco dos Santos, Amanda Santos de Alencar, Ana Caroline Praxedes, Bruno Rezende Silva, Gabriel Cailleaux Damasceno, Isabel Cristina Restrepo Carvajal, Maria Tereza Rodrigues Costa, and Thiago Favares Gonçalves for assisting in obtaining the field measurements; Jaquelini Luber for assisting in the data tabulation; Rafael da Silva Ribeiro for creating the figures; Leandro Freitas for his logistical support in this project; and the anonymous reviewers who evaluated and provided their feedback.
The authors declare no conflicts of interest.
Footnotes
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Figure 1. Aerial photo of the Rio de Janeiro Botanical Garden, Rio de Janeiro, Brazil, showing the arboretum in lowland areas and the secondary remnants of the Atlantic Forest on the slopes. In the background, forest remnants of the Tijuca National Park are visible. Photo: Rafael da Silva Ribeiro.
Figure 2. Location of the Rio de Janeiro Botanical Garden (bottom right) and its arboretum (left), Rio de Janeiro, Brazil, illustrating the non-uniform distribution of trees in the arboretum. The ‘Amazonian Region’ forms a large triangular area on the right side of the arboretum. The red triangles represent peak points located outside the garden area.
Figure 3. Heat map of aboveground biomass (AGB) of trees with a diameter at breast height (DBH) ≥ 10 cm at the Rio de Janeiro Botanical Garden arboretum. The AGB is concentrated mainly in the ‘Amazonian Region’, which forms a large triangular area on the right side of the arboretum, and along the two alleys of Imperial Palms, which form an inverted ‘T’ in the figure (see also Figure 1).
Allometric models used to estimate the aboveground biomass stocks in the trees at the Rio de Janeiro Botanical Garden arboretum, Rio de Janeiro, Brazil. AGB = aboveground biomass (dry mass, kg); H = height (m); p = wood density (g.cm−3); D = stem diameter (cm); dmf = dry mass fraction (dry mass/fresh mass).
Taxonomic Component | Allometric Model | Reference |
---|---|---|
Gymnosperms (excluding Cycadaceae and Zamiaceae), magnoliids, and eudicots | AGB = 0.1054(HpD2)0.9417 | [ |
Palms, arborescent monocotyledons, Cycadaceae, and Zamiaceae | AGB0.25 = 0.55512(dmfD2Hstem)0.25 | [ |
Ravenala madagascariensis | AGB = EXP(−4.996 + 5.654 ln(H) − 0.772(ln(H))2) | [ |
Trees with the highest amounts of aboveground biomass at the Rio de Janeiro Botanical Garden arboretum, Rio de Janeiro, Brazil. H = height (m); D = stem diameter (cm); p = wood density (g.cm−3); AGB = aboveground biomass (Mg).
Family/Species | H | D | p | AGB |
---|---|---|---|---|
LEGUMINOSAE Samanea saman (Jacq.) Merr. | 27.73 | 224.5 | 0.591 | 39.3 |
MELIACEAE Khaya senegalensis A.Juss. | 44.35 | 150.6 | 0.626 | 30.5 |
MELIACEAE Khaya senegalensis A.Juss. | 38.35 | 156.0 | 0.626 | 28.4 |
MALVACEAE Ceiba pentandra (L.) Gaertn. | 39.63 | 219.0 | 0.305 | 28.2 |
MYRTACEAE Eucalyptus globulus Labill. | 33.69 | 150.6 | 0.722 | 26.9 |
MYRTACEAE Corymbia citriodora (Hook.) K.D.Hill. & L.A.S.Johnson | 36.37 | 125.1 | 0.804 | 22.6 |
MALVACEAE Sterculia apetala (Jacq.) H.Karst. | 30.51 | 194.8 | 0.392 | 22.4 |
LEGUMINOSAE Swartzia langsdorffii Raddi | 24.64 | 144.5 | 0.849 | 21.6 |
Carbon density in Mg·ha−1 in different cities around the world. AGC: aboveground carbon; BGC: belowground carbon; DBH: diameter at breast height; ME: margin of error; SE: standard error; SD: standard deviation.
City, Country | Estimation Extent | Vegetation Component | Carbon Density | Reference |
---|---|---|---|---|
Rio de Janeiro, Brazil | Rio de Janeiro Botanical Garden arboretum | AGC; trees | 104 ± 5 (ME) | This study |
Rio de Janeiro, Brazil | Rio de Janeiro Botanical Garden arboretum | AGC + BGC; trees (DBH ≥ 10 cm) | 131 ± 7 (ME) | This study |
Leicester, England | Urban area | AGC; herbs, shrubs, and trees | 31.6 | [ |
Leicester, England | Areas of tree cover on publicly owned/managed sites | AGC; herbs, shrubs, and trees | 288.6 ± 43.6 (SE) | [ |
Berlin, Germany | Urban area (urban forests not included) | AGC; trees | 11.5 | [ |
Jersey City, USA | Urban area | AGC + BGC; trees (DBH ≥ 2.54 cm) | 5 | [ |
Morgantown, USA | Urban area | AGC + BGC; trees (DBH ≥ 2.54 cm) | 37.7 | [ |
Helsinki, Finland | Urban constructed parks | AGC; trees | 22–28 | [ |
Singapore | Telok Kurau neighborhood | AGC + BGC; woody trees | 7.3 | [ |
Pyin Oo Lwin, Myanmar | National Botanical Gardens | AGC; herbs, shrubs, and trees | 142.9 ± 92.8 (SD) | [ |
Pyin Oo Lwin, Myanmar | Urban forest fragments in monasteries | AGC; herbs, shrubs, and trees | 97.9 ± 43.7 (SD) | [ |
Pyin Oo Lwin, Myanmar | Urban coffee farms | AGC; herbs, shrubs, and trees | 182.0 ± 83.4 (SD) | [ |
Curitiba, Brazil | Urban forest | AGC + BGC; trees (DBH > 5 cm) | 102.3 ± 33.4 (SD) | [ |
Matale District, Sri Lanka | Urban to rural home gardens | AGC; trees | 36.5 ± 27.4 (SD) | [ |
Thodupuza, India | Urban home gardens | AGC + BGC; trees (DBH ≥ 3 cm) | 31.9 ± 2.6 (SE) | [ |
Supplementary Materials
The following supporting information can be downloaded at
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Abstract
The rapid urbanization process in recent decades has altered the carbon cycle and exacerbated the impact of climate change, prompting many cities to develop tree planting and green area preservation as mitigation and adaptation measures. While numerous studies have estimated the carbon stocks of urban trees in temperate and subtropical cities, data from tropical regions, including tropical botanic gardens, are scarce. This study aimed to quantify the aboveground biomass and carbon (AGB and AGC, respectively) stocks in trees at the Rio de Janeiro Botanical Garden arboretum, Rio de Janeiro, Brazil. Our survey included 6793 stems with a diameter at breast height (DBH) ≥ 10 cm. The total AGB was 8047 ± 402 Mg, representing 4024 ± 201 Mg of AGC. The AGB density was 207 ± 10 Mg·ha−1 (AGC = 104 ± 5 Mg·ha−1), which is slightly lower than the density stored in Brazil’s main forest complexes, the Atlantic and Amazon forests, but much higher than in many cities worldwide. Our results suggest that, in addition to their global importance for plant conservation, tropical botanic gardens could function as significant carbon sinks within the urban matrix.
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1 Diretoria de Pesquisa Científica, Instituto de Pesquisas Jardim Botânico do Rio de Janeiro, Rio de Janeiro 22460-030, Brazil;
2 Coordenação de Coleção Viva, Diretoria de Operações, Instituto de Pesquisas Jardim Botânico do Rio de Janeiro, Rio de Janeiro 22470-180, Brazil;
3 Escola Nacional de Botânica Tropical, Instituto de Pesquisas Jardim Botânico do Rio de Janeiro, Rio de Janeiro 22460-036, Brazil;
4 Coordenação de Coleção Viva, Diretoria de Operações, Instituto de Pesquisas Jardim Botânico do Rio de Janeiro, Rio de Janeiro 22470-180, Brazil;
5 Escola Nacional de Botânica Tropical, Instituto de Pesquisas Jardim Botânico do Rio de Janeiro, Rio de Janeiro 22460-036, Brazil;