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Article

Conservation of Soil Organic Carbon in the National Park Santuario de Fauna y Flora Iguaque, Boyacá-Colombia

by
Hernán J. Andrade
1,2,*,
Milena A. Segura
1,3 and
Diana S. Canal-Daza
1,2
1
Research Group of Eco-Friendly Production of Tropical Crops—“PROECUT”, Ibagué Tolima 730006299, Colombia
2
Department of Production and Plant Health, Agronomic Engineering Faculty, Universidad del Tolima, Ibagué Tolima 730006299, Colombia
3
Department of Forest Sciences, Forest Engineering Faculty, Universidad del Tolima, Ibagué Tolima 730006299, Colombia
*
Author to whom correspondence should be addressed.
Forests 2022, 13(8), 1275; https://doi.org/10.3390/f13081275
Submission received: 1 July 2022 / Revised: 31 July 2022 / Accepted: 2 August 2022 / Published: 12 August 2022
(This article belongs to the Special Issue Biomass Estimation and Carbon Stocks in Forest Ecosystems)

Abstract

:
Protected areas are important zones for the conservation of strategic ecosystems that provide environmental services to human populations. The Santuario de Fauna y Flora Iguaque (SFFI) (Boyacá, Colombia) preserves an important area of páramos and andean high-land forests that offer water and other services. Soil organic carbon (SOC) was estimated at a depth of 0–30 cm in the four dominant land uses: (1) natural grasslands prevailingly without trees and shrubs (NSWT), (2) broad-leaved forests with continuous canopy, not on mire (BFCC), (3) open heathlands and moorlands (OMH), and (4) dense heathlands and moorlands (DMH). This classification is based on Corine Land Cover, adapted for Colombia. Land uses did not differ significantly (p > 0.05) in the SOC stock, with values of 139.0, 131.1; 101.1; and 83.0 Mg C/ha in OMH, BFCC, NSWT, and DMH, respectively. In total, SFFI retains 593 Gg C in that soil layer. Projections of effects caused by potential land use changes show that up to 461.0 Gg CO2 could be transferred to the atmosphere if this conservation area is not preserved. SFFI, due to its conservation strategies, allows storing significant amounts of atmospheric carbon and becomes an effective strategy of climate change mitigation.

1. Introduction

Climate change is a worldwide problem due to the large amounts of greenhouse gases (GHG) emitted to the atmosphere as a product of human activities [1,2]. Since the pre-industrial era, atmospheric concentration of GHG has increased significantly [3]. Currently, the concentration of carbon dioxide (CO2) is around 417.1 ppm [4], mostly due to the economic and demographic growth of human populations [1]. Atmospheric CO2 reached 147% of what it was in the pre-industrial era in 2018 [5]. Latin America and the Caribbean are responsible of 8.3% of the total CO2 worldwide, excluding land use change; with estimations of a total emissions worldwide of 49 Pg CO2e/year [6,7]. IPCC [8] states that, 13% of global CO2 emissions between 2007 and 2016 is caused by agriculture, forestry, and activities related with other land uses (AFOLU). At the same time, AFOLU represents 23% of the net total anthropogenic emissions of GHG, this is the reason why it is the main focus of mitigation and reduction projects.
Soils contain more carbon (C) than the joint stock in vegetation and the atmosphere, and it can be found organic and inorganically [9,10,11]. Soil organic carbon (SOC) has been estimated through several methods, and its value is around 1500 Pg at 1 m depth, thus being an important component of the C global cycle (69.8% of the organic C in the biosphere) [12,13,14,15]. On the other hand, historic global C losses due to agricultural activities are estimated to be around 55–100 Pg from the SOC reserve, and 100–150 Pg from the biotic carbon pool [14,16].
Mitigation is led through actions that allow the reduction of emission sources, boost GHG sinks, and therefore, reduce climate change on the long term [17,18,19]. Carbon sequestration and storage in soils and biomass is presented as another option on the list of actions to reduce or stabilize the increase in GHG atmospheric concentrations [20,21]. Other options involve improving energetic yield, switching to less carbon-intensive fuels, and using renewable energy sources [22]. According to FAO [13], improving soil management is one of their relevant points, as it would guarantee food safety for the current world population and, additionally, it would store C in soils to minimize climate change threats.
Páramos make a very special life zone worldwide, and they are very important for Andean countries due to their biological, hydrological, social, economic, and cultural interest [21,23,24,25]. In Colombia, the páramos covers around 14,000 km2, which makes for 1.3% of the national territory, with the departments of Boyacá (18.3%), Cundinamarca (13.3%), Santander (9.4%), Cauca (8.1%), Tolima (7.9%), and Nariño (7.5%) as the ones with the most cover [26]. Colombian National Park System (NPS) consists of 49 protected areas and covers almost 10 million hectares (9% of the national territory), and its goal is to guarantee the preservation of natural resources, biodiversity conservation and stability of ecological processes for human development [27]. The Santuario de Fauna y Flora Iguaque (SFFI) is part of the NPS.
The objective of this study is to estimated SOC stock in the dominant land uses of the SFFI in Boyacá (Colombia), the results would be key tools to understand the importance of this protected area in terms of C sinks and the potential changes in SOC reserves due to land use changes. The research hypotheses were: (1) there are significant differences in BD and SOC concentration and stock between land uses; (2) the increase in SOC carbon concentration presents benefits to the soil, using BD as an indicator; (3) some land use changes would cause large CO2 emissions to the atmosphere.
The results can be used to promote policy development for the conservation of these areas. The novelty of this research is the estimation of the total SOC stock and the changes, such as carbon increment or CO2 emission, that could occur if land use is changed.

2. Materials and Methods

2.1. Area of Study

The Santuario de Fauna y Flora Iguaque (SFFI) is located in the central-western area of the East Mountain Range in Colombia, between the Departments of Boyacá and Santander, in the municipalities of Arcabuco, Chíquiza, and Villa de Leyva [28,29]. This area is known as the corridor of páramos and forests of Iguaque-Guantiva-La Rusia, where SFFI is located in the southern end [30]. This protected area is located between the coordinates 5°44′29.90′′ to 5°35′52.69′′ N, and 73°31′8.18′′ to 73°22′43.38′′ W, it has diverse elevations from 2400 to 3800 m, a mean annual precipitation of 1648 mm, average temperature of 13 °C, and different land uses along 6923 ha (Figure 1).

2.2. Sampling Design

An unbalanced stratified sampling design was used, evaluating four land uses: (1) natural grasslands prevailingly without trees and shrubs (NSWT); (2) broad-leaved forests with continuous canopy, not on mire (BFCC); (3) open heathlands and moorlands (OMH); and (4) dense heathlands and moorlands (DMH) (Table 1). This label was given according to the classification of Corine Land Cover, adapted for Colombia [31]. The number of repetitions in each land use depended on their total area in the SFFI, in a way that increases representability (Table 1). After that, total SOC stock was estimated for the whole protected area, considering the area of each land use. The soils of the SFFI are divided in two large groups: piedmont soils and hillside soils. The hillside soils are coarse in structure (sandy loam) to very coarse (loamy sandy), that belong to the Lithic Udorthents and Typic Dystrudepts. In contrast, piedmont soils are well-drained from medium (clay loam) to fine (clay) structures [29].

2.3. Estimation of Soil Organic Carbon (SOC) Stock

SOC stock was determined through soil samples collected at a 0–30 cm depth, following the IPCC recommendations [32] and Andrade et al. [33]. Bulk density (BD) was determined using a graduated cylinder (98.2 cm3), collecting three soil samples per repetition [32,33], which were dried in an oven at 105 °C until constant weight was reached. Bulk density is determined as the ratio between the dry weight of the soil and the internal volume of the cylinder. SOC concentration was determined from a composed sample constituted by 10 sub-samples each, using the spiral auger. After that, soil samples were analyzed at Láserex Laboratory from Universidad del Tolima (Tolima, Colombia), using the Walkley & Black method [34]. The proportion of gross fragments was not considered, given that it was observed during sampling that this variable did not exceed 5% in volume.

2.4. Impact of Land Use Changes in SOC

Projections of the potential variations in SOC stock attributed to land use changes were made. In this case, SOC stock estimations were carried out considering soil mass and not soil volume to avoid the effects of changes in BD that would alter the SOC results, as suggested by different studies [10,35,36,37]. For this, the lowest BD found was used and considered as the baseline, where the impacts on SOC stock was due to changes in SOC concentration. SOC stock values were multiplied by 3.67 to estimate CO2. These projections were made in terms of carbon density per area unit and in total for SFFI. In the case of unit values, the difference in SOC stock between future and current land use was calculated. Total projections were calculated for the area of each land use; calculating what would happen to the SOC stock if the entire area of the current land use were to change to another land use. This was calculated as the difference between the SOC stock in the future use and the current use, using the total area of the current use. These results generate additional carbon sequestration values in case of positive values, or possible CO2 emissions in case of stock reduction [33,36,38]. It was estimated the CO2 emissions if the three land uses with the highest SOC stock change to that with the lowest carbon stock.

2.5. Data Analysis

Normality of variables studied was tested using modified Shapiro–Wilks test. The same way, an analysis of variance (ANAVA) was made to those variables that showed normal distribution, while those that were not normal, such as SOC concentration, underwent a logarithmic transformation. Land use means were compared with Fisher test to observe if there were statistical differences among variables tested in case of being detected by the ANAVA. Statistical analyses were carried out using the InfoStat software with a 95% confidence.

3. Results

3.1. Bulk Density (DB) and Soil Organic Carbon (SOC) Concentration

BD showed significant differences (p < 0.05) among the different land uses (Figure 2). BFCC showed a significantly (p < 0.05) higher BD (0.88 Mg/m3) than the other land uses tested (0.72, 0.66 and 0.52 Mg/m3 for OMH, DMH, and NSWT, respectively). Areas without trees and low abundance of shrubs (NSWT and OMH) showed a significantly higher (p < 0.05) value of SOC (6.5–6.7%) that those areas with trees or high abundance of shrubs (BFCC and DMH) with values between 4.2 an 4.8% (Figure 2).

3.2. Relationship between BD and SOC Concentration

An inverse relationship between BD and SOC concentration in the land uses evaluated was found (Figure 3). This means that, as SOC concentration increases, BD decreases, thus resulting in a reduction in soil compaction and the improvement of other properties such as aeration and retention and movement of water.

3.3. SOC Stock

No significant differences (p > 0.05) were detected in SOC stock among land uses in the top 30 cm of soil. However, the highest value was found in OMH (139.0 Mg/ha), followed by BFCC, NSWT, and DMH, with 131.1, 101,1 and 83.0 Mg/ha, respectively (Figure 4). SFFI had a total of 591.3 Gg of SOC in the top 30 cm of soil. These results show the importance of forest conservation and other natural land uses in protected areas, such as SFFI, as they store large amounts of SOC.

3.4. Impact of Land Use Changes in SOC Stock

Considering just SOC, the most favorable land use change would be to exchange DMH for NSWT or OMH, which would allow a carbon additionality of 143.8 and 127.7 Mg CO2/ha, respectively (Figure 5). Meanwhile, inverse changes would cause the highest CO2 emissions. The most notorious change would take place when changing the 595.1 ha from DMH to OMH, which would cause a total carbon additionality of 504.9 Gg CO2. In contrast, the most harmful change, from the perspective of climate change mitigation, would be that the whole NSWT area (1755.8 ha) were changed into DMH, emitting around 254.3 Gg CO2 to the atmosphere (Figure 5), and contributing to rise climate change. If the three land uses with the highest SOC stock (OMH, BFCC and NSWT) change to that with the lowest SOC, a total of 461.0 Gg CO2 would be emitted to the atmosphere.

4. Discussion

4.1. Bulk Density (BD) and Soil Organic Carbon (SOC) Concentration

BD values indicate the little effect of these land uses and a high quality of soils by having adequate drainage, porosity and aeration [10,39,40]. These results match the findings of Díaz et al. [41], who estimated a BD of 0.88 Mg/m3 at the same depth for primary forests in San Martín—Perú. Just the same, Rojas et al. [36] found similar values in native forests of Santa Isabel (Colombia) with 0.65 Mg/m3. In Boyacá, BD values of 0.43 and 0.54 Mg/m3 were reported at 0–15 cm and 15–30 cm depth, respectively [42], values that match those found on this current study. The BD registered for NSWT shows values around the ones estimated by Andrade et al. [43] in this same type of land use in the region of Anaime, Tolima (Colombia): 0.46 Mg/m3. Viana et al. [44] found the highest BD in degraded areas, whose values increase with restoration strategies and in native forests from the Amazon.
SOC concentration found in this study is below the mean value reported by Gutiérrez et al. [45], of 11.3% for páramo ecosystems in Colombia. In contrast, Andrade et al. [43] reported a 2.9% SOC in high-land andean forests in the Páramo of Anaime, Tolima (Colombia). The BD in páramos can be highly variable and depends mainly on the humidity conditions of the region; in the dry páramos, this value is between 0.6 and 0.9 Mg/m3 [46], values that agree with the results of this investigation. The small differences in the BD among land uses show the low anthropic impacts in this conservation area.

4.2. Relationship between BD and SOC Concentration

The inverse relationship found between BD and SOC concentration, which is win–win situation, has been detected in other studies [36,47,48]. This is attributed to floristic diversity and organisms present in native land uses, which favor the increase of soil organic matter and the SOC [10]. Organic matter from senescence of plant biomass, such as fine roots, leaves and branches, increases soil volume and porous space, causing a substantial improvement in soil quality [43,49,50]. Viana et al. [44] found correlation values between BD and soil organic matter (in direct relation with SOC) very similar to the findings of this current study (r = −0.85). These results show the double positive impact of SOC sequestration by improving not only organic matter, but also increasing porosity, aeration and water retention and movements [51,52,53] by reducing BD.

4.3. Soil Organic Carbon (SOC) Stock

Andean páramos can retain between 119 and 397 Mg/ha SOC in the top 40 cm of soil, a value that can be increased in the case of marshes [54]. Findings on this study are greater than others in Colombia, such as Fernández et al. [42], who estimated in 106 Mg/ha the SOC in Páramo of Rabanal in Boyacá; or Ordoñez et al. [55] in Andean soils in Cauca (111 Mg/ha), but rather below the 188 Mg/ha calculated for Páramo de Sumapaz in Cundinamarca [56]. In contrast, Andrade et al. [43] reported that native forests from Páramo of Anaime in Tolima (Colombia) store just 21.6 Mg/ha SOC at the same depth.
Dieleman et al. [57] argued that SOC stock increases with altitude. However, Phillips et al. [58] show that there are no differences in SOC of Colombian Andean forests when different altitude ranges are compared, reporting that these ecosystems can store up to 124.7 Mg C/ha in the top 100 cm of the soil. The SFFI stores in total 591.3 Gg SOC in the top 30 cm of the soil, and part of this carbon could get lost and return into the atmosphere as CO2, if the purpose of the land use were changed from conservation of the protected area and turned into an agricultural area [59]. Shukla et al. [60] states that SOC is the most important indicator of soil quality, showing that high levels of this variable indicate high-quality soils.

4.4. Impact of Land Use Changes in SOC Stock

The impact of land use changes on SOC stock shows the importance of conservation and planning strategies for these protected areas, looking forward to improving and optimizing the ecosystem services they provide [61,62,63]. SOC is not the only carbon component that these ecosystems can store. Biomass and litter can complement these contributions [38]. Complementary research to this study showed that SFFI stores 135.9 Gg C in its biomass [64]. Therefore conservation, restoration, management and improvement of soils can increase the accumulation of SOC, playing an important role in mitigating climate change [59]. This carbon conservation capacity in protected areas makes them important areas to be included in Reducing Emissions from Deforestation and Forest Degradation (REDD+) projects of developing countries to offer incentives to contribute with climate change mitigation [65,66,67]. Other actions within the frame of REDD+ projects could offer other several ecological, social and financial benefits [68,69].
The main limitation of the study is that the timing of SOC stock change according to potential land use changes is not known. The main implication of the results of this study is the knowledge of the carbon stock and the impacts of land use changes, so that conservation can be prioritized by planners and managers.

5. Conclusions

Land uses studied at SFFI are very important as atmospheric carbon sinks given that they all have the capacity of storing significant amounts of SOC (83.0 to 139.0 Mg C/ha). This is an additional reason to promote the creation and preservation of protected areas that allow conservation of ecosystems and the environmental services they provide. Apart from the climate change mitigation due to SOC sequestration, the incorporation of atmospheric carbon to soils causes a BD reduction, which brings a better soil quality as a result.
The SFFI stores 591.3 Gg COS in the top 30 cm of soil, which justifies its status as a protected area, since it would promote carbon sequestration and reduce emissions due to deforestation and degradation as one of the ecosystem services that it can provide. Conservation strategies in other areas and land uses must also be implemented in such a way that carbon stored in their components can be conserved, given that some land use changes can cause the return of significant amounts of CO2 into the atmosphere. Likewise, despite the change from OMH to NSWT would cause a positive change in SOC, as the amount of carbon stored would increase and carbon credits could be claimed, other carbon components and other ecosystem services offered must be analyzed.

Author Contributions

Conceptualization, H.J.A. and M.A.S.; methodology, H.J.A., M.A.S. and D.S.C.-D.; writing—original draft preparation, D.S.C.-D.; writing—review and editing, H.J.A. and M.A.S.; project administration, M.A.S.; funding acquisition, H.J.A. All authors have read and agreed to the published version of the manuscript.

Funding

This study was funded by the Central Research Committee from Universidad del Tolima, through project code 530114.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Acknowledgments

The authors thank the Central Research Committee from Universidad del Tolima. They also thank the Santuario de Fauna y Flora Iguaque National Park.

Conflicts of Interest

There is no conflict of interest that represents a risk to the validity of the results presented.

References

  1. Panel Intergubernamental de Cambio Climático [IPCC]. Informe de Síntesis. Contribución de los Grupos de Trabajo I, II y III al Quinto Informe de Evaluación del Grupo Intergubernamental de Expertos Sobre Cambio Climático; Pachuari, E., Meyer, L., Eds.; IPCC: Ginebra, Switzerland, 2014; p. 157. [Google Scholar]
  2. Santibañez, G.E. Captura y almacenamiento de carbono para mitigar el cambio climático: Modelo de optimización aplicado a Brasil. Rev. Int. Contam. Ambient. 2014, 30, 236–245. [Google Scholar]
  3. Adhikari, K.; Owens, P.R.; Libohova, Z.; Miller, D.M.; Wills, S.A.; Nemecek, J. Assesing organic carbon stock of Wisconsin, USA and its fate under future land use and climate change. Sci. Total Environ. 2019, 667, 833–845. [Google Scholar] [CrossRef] [PubMed]
  4. National Oceanic and Atmospheric Administration [NOAA]. Trends in Atmospheric Carbon Dioxide. 2020. Available online: https://www.esrl.noaa.gov/gmd/ccgg/trends/mlo.html (accessed on 21 June 2020).
  5. World Meteorological Organization [WMO]. WMO Statement on the State of the Global Climate in 2019; Chair Publications Board: Geneva, Switzerland, 2020. [Google Scholar]
  6. Bárcena, A.; Samaniego, J.; Galindo LCarbonell, J.; Alatorre, J.; Stockins, P.; Reyes, O.; Sánchez, L.; Mostacedo, J. La Economía del Cambio Climático en América Latina y El Caribe, una Visión Gráfica; Naciones Unidas: Santiago de Chile, Chile, 2018. [Google Scholar]
  7. Panel Intergubernamental de Cambio Climático [IPCC]. Calentamiento Global de 1.5 °C, Resumen Para Responsables de Políticas. 2019. Available online: https://www.ipcc.ch/site/assets/uploads/sites/2/2019/09/IPCC-Special-Report-1.5-SPM_es.pdf (accessed on 15 June 2022).
  8. El Cambio Climático y la Tierra. Informe Especial del IPCC Sobre el Cambio Climático, la Desertificación, la Degradación de Tierras, la Gestión Sostenible de Tierras, la Seguridad Alimentaria y los Flujos de Gases de Efecto Invernadero en los Ecosistemas Terrestres; Panel Intergubernamental de Cambio Climático [IPCC]: Geneva, Switzerland, 2020.
  9. García, L.; Gamboa, A.; Cram, S.; Chávez, B.; Peña, V.; Ramírez, V.; Saynes, V.; Siebe, C. Almacén y dinámica de carbono orgánico del suelo en bosques templados de México. Terra Latinoam. 2016, 34, 1–29. [Google Scholar]
  10. Carbono Orgánico del Suelo: El Potencial Oculto; Organización de las Naciones Unidas para la Agricultura y la Alimentación [FAO]: Roma, Italy, 2017.
  11. Laban, P.; Metternicht, G.; Davies, J. Diversidad de Suelos y Carbono Orgánico en Suelos: Cómo Mantener Vivas las Tierras Áridas; UICN: Gland, Switzerland, 2018; pp. 1–24. [Google Scholar] [CrossRef]
  12. Jobbágy, E.G.; Jackson, R.B. The vertical distribution of soil organic carbon and its relation to climate and vegetation. Ecol. Appl. 2000, 10, 423–436. [Google Scholar] [CrossRef]
  13. Captura de Carbono en los Suelos Para Mejor Manejo de la Tierra; Organización de las Naciones Unidas para la Agricultura y la Alimentación [FAO]: Roma, Italy, 2002.
  14. Lal, R. Soil carbon sequestration to mitigate climate change. Geoderma 2004, 123, 1–22. [Google Scholar] [CrossRef]
  15. Jiménez, A.; Reyes, J.; Silveira, M. Secuestro y Distribución de Carbono Orgánico del Suelo Bajo Diferentes Sistemas de Manejo de Pasturas. IFAS Extension University of Florida. 2011. Available online: https://edis.ifas.ufl.edu/pdffiles/SS/SS56400.pdf (accessed on 30 April 2020).
  16. Burbano-Orjuela, H. El carbono orgánico del suelo y su papel frente al cambio climático. Rev. Cienc. Agrícolas 2018, 35, 82–96. [Google Scholar] [CrossRef]
  17. Barton, J. Adaptación al cambio climático en la planificación de ciudades-regiones. Rev. Geogr. Norte Gd. 2009, 43, 5–30. [Google Scholar] [CrossRef]
  18. Lackner, M.; Chen, W.; Suzuki, T. Introduction to Climate Change Mitigation; Handbook of Climate Change Mitigation; Wei-Yin, C., Seiner, J., Suzuki, T., Lackner, M., Eds.; Springer: Cham, Switzerland, 2012; pp. 1–9. [Google Scholar] [CrossRef]
  19. Canal, D.; Andrade, H. Sinergias mitigación–adaptación al cambio climático en sistemas de producción de café (Coffea arabica), de Tolima, Colombia. Rev. Biol. Trop. 2019, 67, 36–46. [Google Scholar] [CrossRef]
  20. Paz, F.; Argumedo, J.; Cruz, C.; Etchevers, B.; Jong, B. Distribución espacial y temporal del carbono orgánico del suelo en los ecosistemas terrestres de México. Terra Latinoam. 2016, 34, 289–310. [Google Scholar]
  21. Rolando, J.L.; Turin, C.; Ramírez, D.A.; Mares, V.; Monerris, J.; Quiroz, R. Key ecosystem services and ecological intensification of agriculture in the tropical high-Andean Puna as affected by land-use and climate changes. Agric. Ecosyst. Environ. 2017, 236, 221–233. [Google Scholar] [CrossRef]
  22. Panel Intergubernamental de Cambio Climático [IPCC]. Fuentes de Energía Renovables y Mitigación al Cambio Climático, Informe Especial del Grupo Intergubernamental de Expertos Sobre Cambio Climático. 2011. Available online: https://archive.ipcc.ch/pdf/special-reports/srren/srren_report_es.pdf (accessed on 15 June 2022).
  23. Minaya, V.; Camacho, V.; Wenninger, J.; Mynett, A. Runoff generation from a combined glacier and páramo catchment wiyhin the Antisana Reserve in Ecuador. J. Ecohydraulics 2021, 1–16. [Google Scholar] [CrossRef]
  24. Ayala, J.; Márquez, C.; García, V.; Jara, C.; Sisti, J.; Pasqualotto, N.; Van Wittenberghe, S.; Delegido, J. Multi-predictor mapping of soil organic carbon in the alpine tundra: A case study for the central Ecuadorian páramo. Carbon Balance Manag. 2021, 16, 32. [Google Scholar] [CrossRef] [PubMed]
  25. Calpa, E.; Graham, C.; Da Silva, F. Pleistocene climate oscillations and habitat connectivity contributed to avian beta-diversity in te megadiverse Colombian paramo ecosystems. J. Biogeogr. 2021, 48, 14251. [Google Scholar] [CrossRef]
  26. Salazar, C.; Marín, O. Beneficios de la Reforestación en la Regulación Hídrica en Colombia. Manizales. Bachelor’s Thesis, Ingeniería Ambiental, Universidad Nacional Abierta y a Distancia, Bogotá, Colombia, 2016. [Google Scholar]
  27. Carriazo, F.; Ibañiez, A.; García, M. Valoración de los Beneficios Económicos Provisorios por el Sistema de Parques Nacionales Naturales: Una Aplicación del Análisis de Transferencias de Beneficios. 2003. Available online: https://www.repository.fedesarrollo.org.co/bitstream/handle/11445/1341/Repor_Mayo_2003_Carriazo_Ibanez_y_Garcia.pdf?sequence=3&isAllowed=y (accessed on 15 June 2022).
  28. Gamarra, Y.; Restrepo, R.; Cerón, A.; Villamizar, M.; Arenas, R.; Vega, C.; Ávila, A. Aplicación del protocolo CERA-S para determinar la calidad ecológica de la micocuenca Mamarramos (Cuenca Cane-Iguaque), Santuario de Fauna y Flora Iguaque (Boyacá), Colombia. Biota Colomb. 2017, 18, 11–29. [Google Scholar] [CrossRef]
  29. Villarreal, H.; Núñez, M.; Zorro, W.; Pacheco, C. Plan de Manejo del Santuario de Fauna y Flora Iguaque; Parques Nacionales Naturales de Colombia: Bogotá, Colombia, 2017. [Google Scholar]
  30. Ministerio de Medio Ambiente y Desarrollo Sostenible [Minambiente]. Parques Nacionales Naturales de Colombia. 2020. Available online: http://www.parquesnacionales.gov.co/portal/es/ecoturismo/region-andina/santuario-de-flora-y-fauna-iguaque-2/ (accessed on 15 May 2021).
  31. Leyenda Nacional de Coberturas de la Tierra. Metodología CORINE Land Cover Adaptada Para Colombia, Escala 1:100.000; Instituto de Hidrología, Meteorología y Estudios Ambientales [IDEAM]: Bogotá, Colombia, 2010; p. 72.
  32. Good Practice Guidance for Land Use, Land Use Change and Forestry; Panel Intergubernamental de Cambio Climático [IPCC]: Geneva, Switzerland, 2003; ISBN 4-88788-003-0.
  33. Andrade, H.; Segura, M.; Rojas, S. Carbono orgánico del suelo en bosques riparios, arrozales y pasturas en Piedras, Tolima, Colombia. Agron. Mesoam. 2016, 27, 233–241. [Google Scholar] [CrossRef]
  34. Walkley, A.; Black, C.A. An examination of the Degtajareff’s method for determining soil organic matter and a proposed modification of the chromic acid titration method. Soil Sci. 1934, 37, 29–38. [Google Scholar] [CrossRef]
  35. Lorenz, K.; Lal, R. Environmental impact of organic agriculture. Adv. Agron. 2016, 139, 99–152. [Google Scholar] [CrossRef]
  36. Rojas, S.; Andrade, H.; Segura, M. Los suelos del paisaje alto-andino de Santa Isabel (Tolima, Colombia) ¿Son sumideros de carbono orgánico? Rev. UDCA Actual. Divulg. Científica 2018, 21, 51–59. [Google Scholar] [CrossRef]
  37. Mannetje, L.; Amézquita, M.C.; Buurman, P.; Ibrahim, M. Carbon Sequestration in Tropical Grassland Ecosystems; Wageningen Academic Publishers: Wageningen, The Netherlands, 2008; p. 221. [Google Scholar]
  38. Panel Intergubernamental de Cambio Climático [IPCC]. Guidelines for National Greenhouse Gas Inventories, Prepared by the National Greenhouse Gas Inventories Programme; Eggleston, H., Buendía, L., Miwa, K., Ngara, T., Tanabe, K., Eds.; Publicado por IGES: Hayama, Japan, 2006. [Google Scholar]
  39. Andrade, H.; Ibrahim, M. Cómo monitorear el secuestro de carbono en los sistemas silvopastoriles? Agroforestería Américas 2003, 10, 109–116. [Google Scholar]
  40. Quintero, V. Importancia y utilidad de la evaluación de la calidad de suelos a través del componente microbiano: Experiencias en sistemas silvopastoriles. Colomb. For. 2013, 16, 83. [Google Scholar] [CrossRef]
  41. Díaz, P.; Fachin, G.; Tello, C.; Arévalo, L. Carbono almacenado en cinco sistemas de uso de tierra, en la región de San Martín, Perú. RINDERESU Rev. Int. Desarro. Reg. Sustentable 2016, 1, 57–67. [Google Scholar]
  42. Fernández, C.; Cely, G.; Serrano, P. Cuantificación de la captura de carbono y análisis de las propiedades del suelo en coberturas naturales y una plantación de pino en el páramo de Rabanal, Colombia. Cuadernos de Geografía. Rev. Colomb. Geogr. 2019, 28, 121–133. [Google Scholar] [CrossRef]
  43. Andrade, H.; Espinosa, E.; Moreno, H. Impact of grazing on soil organic storage carbon in high lands of Anaime, Tolima, Colombia. Zootec. Trop. 2014, 32, 7–21. [Google Scholar]
  44. Viana, R.M.; Ferraz, J.B.S.; Neves, A.F.; Vieira, G.; Pereira, B.F.F. Soil quality indicators for different restoration stages on Amazon rainforest. Soil Tillage Res. 2014, 140, 1–7. [Google Scholar] [CrossRef]
  45. Gutiérrez, J.; Ordoñez, N.; Bolívar, A.; Bunning, S.; Guevara, M.; Medina, E.; Olivera, C.; Olmedo, G.; Sevilla, V.; Vargas, R. Estimación del carbono orgánico en los suelos de ecosistema de páramo en Colombia. Ecosistemas 2020, 29, 1855. [Google Scholar]
  46. Patiño, S.; Hernández, Y.; Plata, C.; Dominguez, I.; Daza, M.; Oviedo-Ocaña, R.; Buytaert, W.; Ochoa-Tocachi, B.F. Influence of land use on hydro-physical soil properties of Andean páramos and its effect on streamflow buffering. Catena 2021, 202, 105227. [Google Scholar] [CrossRef]
  47. Périé, C.; Ouimet, R. Organic carbon, organic matter and bulk density relationships in boreal forest soils. Can. J. Soil Sci. 2008, 88, 315–325. [Google Scholar] [CrossRef]
  48. Sakin, E. Organic carbon organic matter and bulk density relationships in arid-semi arid soils in Southeast Anatolia region. Afr. J. Biotechnol. 2012, 11, 1373–1377. [Google Scholar] [CrossRef]
  49. Torres, C.; Etchevers, J.; Fuentes, M.; Govaerts, B.; De León, F.; Herrera, J.M. Influencia de las raíces sobre la agregación del suelo. Terra Latinoam. 2013, 31, 71–84. [Google Scholar]
  50. Céspedes, F.; Fernández, J.; Giménez, L.; Leonhard, E.; Bernardis, A. Carbono retenido por la hojarasca y raíces en diferentes usos del suelo en la región del Chaco Semiárido. Chil. J. Agric. Anim. Sci. 2018, 3, 165–172. [Google Scholar] [CrossRef]
  51. Harrington, L.; Tow, P. Types of Rainfed Farming Systems Around the World. In Rainfed Farming Systems; Tow, P., Cooper, I., Partridge, I., Birch, C., Eds.; Springer: Berlin/Heidelberg, Germany, 2011; pp. 45–75. [Google Scholar] [CrossRef]
  52. Alvarado, J.; Andrade, H.; Segura, M. Almacenamiento de carbono orgánico en suelos en sistemas de producción de café (Coffea arabica L.) en el municipio del Líbano, Tolima, Colombia. Colomb. For. 2013, 16, 21–31. [Google Scholar]
  53. Ferreyra, R.; Sellés, G. Manual de Riego Para Especies Frutales, uso Eficiente del Agua de Riego y Estrategias Para Enfrentar Periodos de Escasez. Boletín INIA No.278; Instituto de Investigaciones Agropecuarias, Centros Regionales de Investigación La Platina y La Cruz: Santiago de Chile, Chile, 2013; 319p. [Google Scholar]
  54. Castañeda, A.; Montes, C. Carbono almacenado en páramo andino. Cienc. Agrícolas 2017, 13, 210–221. [Google Scholar]
  55. Ordoñez, M.C.; Galicia, L.; Figueroa, A.; Bravo, I.; Peña, M. Effects of peasant and indigenous soil management practices on the biogeochemical properties and carbon storage services of Andean soils of Colombia. Eur. J. Soil Biol. 2015, 71, 28–36. [Google Scholar] [CrossRef]
  56. Montes-Pulido, C.R.; Ramos-Miras, J.; San José-Wery, A.M. Estimation of soil organic carbon (SOC) at different soil depths and soil use in the Sumapaz paramo, Cundinamarca-Colombia. Acta Agronómica 2017, 66, 95–101. [Google Scholar] [CrossRef]
  57. Dieleman, W.I.J.; Venter, M.; Ramachandra, A.; Krockenberger, A.K.; Bird, M.I. Soil carbon stocks vary predictably with altitude in tropical forests: Implications for soil carbon storage. Geoderma 2013, 204–205, 59–67. [Google Scholar] [CrossRef]
  58. Phillips, H.; Ramirez, S.; Wayson, C.; Duque, A. Differences in carbon stocks along an elevation gradient in tropical mountain forests of Colombia. Biotrópica 2019, 51, 490–499. [Google Scholar] [CrossRef]
  59. Fu, C.; Chen, Z.; Wang, G.; Yu, X.; Yu, G. A comprehensive framework for evaluating the impact of land use change and management on soil organic carbon stocks in global drylands. Environ. Sustain. 2021, 48, 103–109. [Google Scholar] [CrossRef]
  60. Shukla, M.K.; Lal, R.; Ebinger, M. Determining soil quality indicators by factor analysis. Soil Tillage Res. 2006, 87, 194–204. [Google Scholar] [CrossRef]
  61. Pabon, L.; Bezaury, F.; Leon, L.; Gill, S.; Stolton, A.; Groves, S.; Dudley, M.; Duldley, N. Valorando la Naturaleza: Beneficios de las áreas Protegidas; Serie Guía, R., Arligton, E., Eds.; The Nature Conservancy: Arlington County, VA, USA, 2008; p. 34. [Google Scholar]
  62. Segura, M.; Andrade, H.; Mojica, C. Estructura, composición florística y almacenamiento de carbono en bosques nativos del páramo de Anaime, Tolima, Colombia. Cienc. Florest. 2019, 29, 157–168. [Google Scholar] [CrossRef]
  63. Vergara, P. Estrategias implementadas por el sistema nacional de áreas protegidas de Colombia para conservar los páramos. Rev. Cienc. Ambient. 2020, 54, 167–176. [Google Scholar] [CrossRef]
  64. Andrade, H.; Segura, M.; Canal, D.; Sierra, E.; Acuña, L.M.; Perea, M.; Arredondo, J.C.; Rico, C. Conservación de Carbono en el Santuario de Fauna y Flora Iguaque, Boyacá, Colombia: Estrategia de Mitigación al Cambio Climático; Sello Editorial Universidad del Tolima: Ibagué, Tolima, 2020; ISBN 978-958-5151-40-6. [Google Scholar]
  65. Zambrano, C.; Cordero, D. Reduced Emissions from Deforestation and Degradation (REDD) in South America. Unión Internacional para la Conservación de la Naturaleza. 2020. Available online: https://www.iucn.org/sites/dev/files/content/documents/redd_in_south_america_english_.pdf (accessed on 15 June 2021).
  66. Proyecto REDD+ de Pago por Resultados Para Colombia, Periodo de Resultados (2015–2016), Marco de Gestión Ambiental y Social (MGAS); Organización de las Naciones Unidas para la Agricultura y la Alimentación [FAO]: Rome, Italy, 2020.
  67. Ministerio de Medio Ambiente y Desarrollo Sostenible [Minambiente]. REDD+ La Gran Importancia de Nuestros Bosques. 2020. Available online: https://www.minambiente.gov.co/index.php/bosques-biodiversidad-y-servicios-ecosistematicos/reduccion-de-emisiones-de-gases/la-gran-importancia-de-nuestros-bosques (accessed on 15 July 2021).
  68. Lee, D.; Pistorius, T. The Impacts of International REDD+ Finance; The Climate and Land Use Alliance: San Francisco, CA, USA, 2015. [Google Scholar]
  69. Smith, P.; Arneth, A.; Barnes, D.K.A.; Ichii, K.; Marquet, P.A.; Popp, A.; Pörtner, H.; Rogers, A.D.; Scholes, R.J.; Strassburg, B.; et al. How do we best synergize climate mitigation actions to co-benefit biodiversity? Glob. Chang. Biol. 2022, 28, 2555–2577. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Location of the study area, Santuario de Flora y Fauna Iguaque (SFFI), Boyacá, Colombia. Source: PROECUT Research Group.
Figure 1. Location of the study area, Santuario de Flora y Fauna Iguaque (SFFI), Boyacá, Colombia. Source: PROECUT Research Group.
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Figure 2. Bulk density (BD) and soil organic carbon (SOC) concentration at a 0–30 cm depth, in the four dominant land uses at Santuario de Fauna y Flora Iguaque, Boyacá, Colombia. NSWT: natural grasslands prevailingly without trees and shrubs; OMH: open heathlands and moorlands; BFCC: broad-leaved forests with continuous canopy, not on mire; DMH: dense heathlands and moorlands. Error bars correspond to standard error. Different letters indicate statistical differences (p < 0.05).
Figure 2. Bulk density (BD) and soil organic carbon (SOC) concentration at a 0–30 cm depth, in the four dominant land uses at Santuario de Fauna y Flora Iguaque, Boyacá, Colombia. NSWT: natural grasslands prevailingly without trees and shrubs; OMH: open heathlands and moorlands; BFCC: broad-leaved forests with continuous canopy, not on mire; DMH: dense heathlands and moorlands. Error bars correspond to standard error. Different letters indicate statistical differences (p < 0.05).
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Figure 3. Relationship between soil organic carbon (SOC) concentration and bulk density (BD) at a 0–30 cm depth of the soil, in the four dominant land uses at Santuario de Fauna y Flora Iguaque in Boyacá, Colombia. NSWT: natural grasslands prevailingly without trees and shrubs; OMH: open heathlands and moorlands; BFCC: broad-leaved forests with continuous canopy, not on mire; DMH: dense heathlands and moorlands. Pointed line represents the best fit model.
Figure 3. Relationship between soil organic carbon (SOC) concentration and bulk density (BD) at a 0–30 cm depth of the soil, in the four dominant land uses at Santuario de Fauna y Flora Iguaque in Boyacá, Colombia. NSWT: natural grasslands prevailingly without trees and shrubs; OMH: open heathlands and moorlands; BFCC: broad-leaved forests with continuous canopy, not on mire; DMH: dense heathlands and moorlands. Pointed line represents the best fit model.
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Figure 4. Soil organic carbon (SOC) stock at a 0–30 cm depth in the four dominant land uses at Santuario de Fauna y Flora Iguaque, Boyacá, Colombia. OMH: open heathlands and moorlands; BFCC: broad-leaved forests with continuous canopy, not on mire; NSWT: natural grasslands prevailingly without trees and shrubs; DMH: dense heathlands and moorlands. Error bars correspond to standard error. Equal letters indicate that there are no statistical differences (p > 0.05) among land uses.
Figure 4. Soil organic carbon (SOC) stock at a 0–30 cm depth in the four dominant land uses at Santuario de Fauna y Flora Iguaque, Boyacá, Colombia. OMH: open heathlands and moorlands; BFCC: broad-leaved forests with continuous canopy, not on mire; NSWT: natural grasslands prevailingly without trees and shrubs; DMH: dense heathlands and moorlands. Error bars correspond to standard error. Equal letters indicate that there are no statistical differences (p > 0.05) among land uses.
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Figure 5. Unitary and total change in soil organic carbon (SOC) stock at a 0–30 cm depth due to possible soil use changes at Santuario de Fauna y Flora Iguaque, Boyacá, Colombia. NSWT: natural grasslands prevailingly without trees and shrubs; OMH: open heathlands and moorlands; BFCC: broad-leaved forests with continuous canopy, not on mire; DMH: dense heathlands and moorlands. Positive values indicate an increase in SOC stock, whereas the negative show a reduction with the consequent CO2 emission.
Figure 5. Unitary and total change in soil organic carbon (SOC) stock at a 0–30 cm depth due to possible soil use changes at Santuario de Fauna y Flora Iguaque, Boyacá, Colombia. NSWT: natural grasslands prevailingly without trees and shrubs; OMH: open heathlands and moorlands; BFCC: broad-leaved forests with continuous canopy, not on mire; DMH: dense heathlands and moorlands. Positive values indicate an increase in SOC stock, whereas the negative show a reduction with the consequent CO2 emission.
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Table 1. Land uses in Santuario de Fauna y Flora Iguaque, Boyacá, Colombia.
Table 1. Land uses in Santuario de Fauna y Flora Iguaque, Boyacá, Colombia.
Land UseArea (Ha)Repetition Number
Natural grassland prevailingly without trees and shrubs (NSWT)1755.817
Broad-leaved forest with continuous canopy, not on mire (BFCC)1477.818
Open heathlands and moorlands (OMH)1227.89
Dense heathlands and moorlands (DMH)595.15
Total5056.549
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Andrade, H.J.; Segura, M.A.; Canal-Daza, D.S. Conservation of Soil Organic Carbon in the National Park Santuario de Fauna y Flora Iguaque, Boyacá-Colombia. Forests 2022, 13, 1275. https://doi.org/10.3390/f13081275

AMA Style

Andrade HJ, Segura MA, Canal-Daza DS. Conservation of Soil Organic Carbon in the National Park Santuario de Fauna y Flora Iguaque, Boyacá-Colombia. Forests. 2022; 13(8):1275. https://doi.org/10.3390/f13081275

Chicago/Turabian Style

Andrade, Hernán J., Milena A. Segura, and Diana S. Canal-Daza. 2022. "Conservation of Soil Organic Carbon in the National Park Santuario de Fauna y Flora Iguaque, Boyacá-Colombia" Forests 13, no. 8: 1275. https://doi.org/10.3390/f13081275

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