Long-Term Impacts of Fuelwood Extraction on a Tropical Montane Cloud Forest

Rüger, Nadja; Williams‐Linera, Guadalupe; Kissling, W. Daniel; Huth, Andreas

doi:10.1007/s10021-008-9166-8

Cited by 66 publications

(52 citation statements)

References 50 publications

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“…For example, as predicted by Harper et al (2005), we found that the magnitude Rüger et al (2007a,b), Newton (2008a) Sustainable use PVA, FORMIND, PINQUE Bekessy et al (2004), Golicher and Newton (2007), Rüger et al (2007aRüger et al ( , 2008, Newton (2008b) Decision-support tools, management recommendations, policy options Scenarios, BBN, spatial MCA, outputs from other modeling activities Miles et al (2007), Newton (2008aNewton ( , 2009 of edge effects was greater at edges with more pronounced contrasts. High and low contrast edges produced different responses in seed removal and seed dispersal across edges (López-Barrera et al 2005, 2007b, Guzman-Guzman & Williams-Linera 2006, seedling herbivory (López-Barrera et al 2006), seed germination (López-Barrera and Newton 2005), diversity and abundance of small mammals, and edge microclimate (López-Barrera et al 2007a).…”

Section: Edge Effectssupporting

confidence: 79%

“…These results were further supported by simulations performed with the process-based forest growth model FORMIND Huth 1998, Köhler et al 2001) for tropical montane forest in Veracruz, where relatively slow-growing, shade-tolerant canopy tree species did not achieve steady-state basal area until around ca. 300 years after disturbance (Rüger et al 2008). Modeling results from temperate rain forest in Chile also indicated slow recovery following human disturbance (Rüger et al 2007b).…”

Section: Stand Dynamics and Disturbance Impactsmentioning

confidence: 97%

“…Simulation results show that both forest types have potential for sustained wood production (Rüger et al 2007b(Rüger et al , 2008 Kammesheidt et al 2002, van Gardingen et al 2003. However, harvesting the forests at such high rates has a strong impact on the size structure and species composition of the forests.…”

Section: Sustainable Usementioning

confidence: 99%

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Toward Integrated Analysis of Human Impacts on Forest Biodiversity: Lessons from Latin America

Newton¹,

Cayuela²,

Echeverría³

et al. 2009

E&S

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ABSTRACT. Although sustainable forest management (SFM) has been widely adopted as a policy and management goal, high rates of forest loss and degradation are still occurring in many areas. Human activities such as logging, livestock husbandry, crop cultivation, infrastructural development, and use of fire are causing widespread loss of biodiversity, restricting progress toward SFM. In such situations, there is an urgent need for tools that can provide an integrated assessment of human impacts on forest biodiversity and that can support decision making related to forest use. This paper summarizes the experience gained by an international collaborative research effort spanning more than a decade, focusing on the tropical montane forests of Mexico and the temperate rain forests of southern South America, both of which are global conservation priorities. The lessons learned from this research are identified, specifically in relation to developing an integrated modeling framework for achieving SFM. Experience has highlighted a number of challenges that need to be overcome in such areas, including the lack of information regarding ecological processes and species characteristics and a lack of forest inventory data, which hinders model parameterization. Quantitative models are poorly developed for some ecological phenomena, such as edge effects and genetic diversity, limiting model integration. Establishment of participatory approaches to forest management is difficult, as a supportive institutional and policy environment is often lacking. However, experience to date suggests that the modeling toolkit approach suggested by Sturvetant et al. (2008) could be of value in such areas. Suggestions are made regarding desirable elements of such a toolkit to support participatory-research approaches in domains characterized by high uncertainty, including Bayesian Belief Networks, spatial multi-criteria analysis, and scenario planning.

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Section: Edge Effectssupporting

confidence: 79%

Section: Stand Dynamics and Disturbance Impactsmentioning

confidence: 97%

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Toward Integrated Analysis of Human Impacts on Forest Biodiversity: Lessons from Latin America

Newton¹,

Cayuela²,

Echeverría³

et al. 2009

E&S

Self Cite

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“…The model has been proven suitable to simulate a wide range of forest sites on Borneo (Sabah) , Venezuela (Kammesheidt et al, 2001), French Guiana (Köhler et al, 2003), Mexico (Rüger et al, 2008), Brazil (Groeneveld et al, 2009) and Ecuador (Dislich et al, 2009). The site-specific model adaptation and parametrisation to a dipterocarp tropical rain forest in Borneo (Sabah) as used here were published elsewhere (Huth et al, , 2005Köhler and Huth, 2004).…”

Section: Description Of the Modelmentioning

confidence: 99%

Towards ground-truthing of spaceborne estimates of above-ground life biomass and leaf area index in tropical rain forests

Köhler

Huth

2010

Biogeosciences

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Abstract. The canopy height h of forests is a key variable which can be obtained using air-or spaceborne remote sensing techniques such as radar interferometry or LIDAR. If new allometric relationships between canopy height and the biomass stored in the vegetation can be established this would offer the possibility for a global monitoring of the above-ground carbon content on land. In the absence of adequate field data we use simulation results of a tropical rain forest growth model to propose what degree of information might be generated from canopy height and thus to enable ground-truthing of potential future satellite observations. We here analyse the correlation between canopy height in a tropical rain forest with other structural characteristics, such as above-ground life biomass (AGB) (and thus carbon content of vegetation) and leaf area index (LAI) and identify how correlation and uncertainty vary for two different spatial scales. The process-based forest growth model FORMIND2.0 was applied to simulate (a) undisturbed forest growth and (b) a wide range of possible disturbance regimes typically for local tree logging conditions for a tropical rain forest site on Borneo (Sabah, Malaysia) in South-East Asia. In both undisturbed and disturbed forests AGB can be expressed as a power-law function of canopy height h (AGB = a ·h b ) with an r 2 ∼ 60% if data are analysed in a spatial resolution of 20 m × 20 m (0.04 ha, also called plot size). The correlation coefficient of the regression is becoming significant better in the disturbed forest sites (r 2 = 91%) if data are analysed hectare wide. There seems to exist no functional dependency between LAI and canopy height, but there is also a linear correlation (r 2 ∼ 60%) between AGB and the area fraction ofCorrespondence to: P. Köhler (peter.koehler@awi.de) gaps in which the canopy is highly disturbed. A reasonable agreement of our results with observations is obtained from a comparison of the simulations with permanent sampling plot (PSP) data from the same region and with the large-scale forest inventory in Lambir. We conclude that the spaceborne remote sensing techniques such as LIDAR and radar interferometry have the potential to quantify the carbon contained in the vegetation, although this calculation contains due to the heterogeneity of the forest landscape structural uncertainties which restrict future applications to spatial averages of about one hectare in size. The uncertainties in AGB for a given canopy height are here 20−40% (95% confidence level) corresponding to a standard deviation of less than ± 10%. This uncertainty on the 1 ha-scale is much smaller than in the analysis of 0.04 ha-scale data. At this small scale (0.04 ha) AGB can only be calculated out of canopy height with an uncertainty which is at least of the magnitude of the signal itself due to the natural spatial heterogeneity of these forests.

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“…Environmental damage from fuelwood harvesting can be significant if too many people depend on too few forested areas. Many hotspots of biodiversity in the tropics (Bouget et al, 2012;Myers et al, 2000) represent such a scenario, with numerous human populations relying on vanishing, reducing and fragmenting forests to meet their demand for fuelwood, land for agriculture and ingestion of animal protein (Peres et al, 2010;Ruger et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Fuelwood Consumption and its Impact on Forests in the Teknaf Peninsula on the Southern Coast of Bangladesh

Ullah

Tani

2017

American Journal of Environmental Sciences

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This study focuses on the household fuelwood in the Teknaf Peninsula of Bangladesh. Teknaf Peninsula has a protected forest area which is facing the threat of extinction due to the over dependency of the local people. Among the subsistence activities, harvesting fuelwood from the protected forest area is the most common and also a significant cause for the deforestation. This study aimed to determine the household fuelwood consumption and factors influencing the consumption. Data was collected during March 2015 using structured questionnaire to interview the sampled households. Among the 42 households the average annual consumption of fuelwood per person was found 1168 kg, which is quit higher than other similar studies around the world. Among the considered factors only family size influenced the fuelwood consumption. According to the current reports and our fuelwood consumption study the forest is not capable to provide fuelwood in a sustainable way.

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Long-Term Impacts of Fuelwood Extraction on a Tropical Montane Cloud Forest

Cited by 66 publications

References 50 publications

Toward Integrated Analysis of Human Impacts on Forest Biodiversity: Lessons from Latin America

Toward Integrated Analysis of Human Impacts on Forest Biodiversity: Lessons from Latin America

Towards ground-truthing of spaceborne estimates of above-ground life biomass and leaf area index in tropical rain forests

Fuelwood Consumption and its Impact on Forests in the Teknaf Peninsula on the Southern Coast of Bangladesh

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