Skip to main content Accessibility help
×
Hostname: page-component-7479d7b7d-pfhbr Total loading time: 0 Render date: 2024-07-11T17:31:43.359Z Has data issue: false hasContentIssue false

18 - Tropical Montane Cloud and Rainforests

from Section Four - Case Studies

Published online by Cambridge University Press:  05 June 2016

Derek Eamus
Affiliation:
University of Technology, Sydney
Alfredo Huete
Affiliation:
University of Technology, Sydney
Qiang Yu
Affiliation:
University of Technology, Sydney
Get access

Summary

Introduction

Tropical montane cloud and rainforests are forests that occur at high elevation in tropical regions. They differ from tropical lowland forests because they experience low temperatures and because extensive mist and cloud cover alter the water and light environments compared to lowland forests. This chapter discusses the structure and behaviour of tropical montane forests (Fig. 18.1) and briefly compares these to lowland tropical forest.

Due to their terrain and relative isolation, tropical montane forests have not received the same level of intense ecophysiological, modelling, or remote sensing, study that lowland forests have received, although this is slowly changing. Consequently the majority of studies have been leaf- and tree-scale and field-based. Eddy covariance methods have not been routinely applied to-date but developments in using remote sensing techniques with corrections for the influence of altitude, aspect and slope are occurring.

Light, nutrient and temperature effects have major impacts on the ecophysiology, productivity and structure of tropical montane forests. Foliar uptake of water makes a significant contribution to the water status of the canopy.

The questions addressed in this chapter include the following: Where do tropical montane forests occur? What leaf- and canopy-scale adaptations occur that allow montane forests to grow at altitude? Does photosynthetic capacity vary with altitude and what are the patterns in ET and productivity in these forests? Finally, this chapter addresses the question: do mist and clouds supply water directly to the canopy through foliar uptake?

Types of Tropical Montane Cloud and Rainforests

The case study of Amazonian rainforest (Chapter 17) focuses on seasonality of rainfall, phenological patterns and the impacts of drought on Amazonian rainforest productivity. That chapter examined the environmental controls of productivity in lowland tropical rainforest. In contrast, this case study examines tropical montane cloud and rainforest where the controls of productivity are generally temperature, light availability and sometimes, soil nutrient supply.

Tropical montane cloud and rainforests occur at elevation in the tropics and are characterised as being shrouded in fog/cloud for a large fraction of the year. They have very large levels of endemism, very high levels of species richness, and are the source of large volumes of high quality drinking water for lower elevation sites. Cloud forests may increase the water yield of high altitude catchments through canopy interception and capture of cloud/fog water and through the suppression of evapotranspiration that occurs because of the presence of cloud/fog.

Type
Chapter
Information
Vegetation Dynamics
A Synthesis of Plant Ecophysiology, Remote Sensing and Modelling
, pp. 442 - 459
Publisher: Cambridge University Press
Print publication year: 2016

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Aragão, LEOC, Malhi, Y, Metcalfe, DB, Silva-Espejo, JE, Jiménez, E, Navarrete, D, Almeida, S, Costa, ACL, Salinas, N, Phillips, OL, Anderson, LO, Baker, TR, Goncalvez, PH, Huamán-Ovalle, J, Mamani-Solórzano, M, Meir, P, Monteagudo, A, Peñuela, MC, Prieto, A, Quesada, CA, Dávila, Rozas-A, Rudas, A, Junior, JA Silva and Vásquez, Q, (2009). Above- and below-ground net primary productivity across ten Amazonian forests on contrasting soils. Biogeosciences 6, 2441–2488.Google Scholar
Bruijnzeel, LA, Mulligan, M and Scatena, FN, (2011). Hydrometeorology of tropical montane cloud forests: emerging patterns. Hydrological Processes 25, 465–498.Google Scholar
Cavelier, J, (1996). Environmental factors and ecophysiological processes along altitudinal gradients in wet tropical mountains. In Tropical Forest Plant Ecophysiology, Mulkey, SS, Chazdon, RL and Smith, AP (Eds). pps. 399–439. Chapman and Hall.
Cleveland, CC, Townsend, AR, Taylor, P, Alvarez-Clare, S, Bustamante, MMC, Chuyong, G, Dobrowski, SZ, Grierson, P, Harms, KE, Houlton, BZ, Marklein, A, Parton, W, Porder, S, Reed, SC, Sierra, CA, Silver, WL, Tanner, EVJ, Wieder, WR and William, R, (2011). Relationships among net primary productivity, nutrients and climate in tropical rain forest: a pan-tropical analysis. Ecology Letters 14, 939–947.Google Scholar
Costa, MH, Yanagi, SNM, Souza, PJOP, Ribeiro, A and Rocha, EJP, (2007). Climate change in Amazonia caused by soybean cropland expansion, as compared to caused by pastureland expansion. Geophysical Research Letters 34, L07706, doi:10.1029/2007GL029271.Google Scholar
Dawson, TE, Burgess, SSO, Tu, KP, Oliverira, RS, Santiago, LSFisher, JB, Simonin, KA and Ambrose, AR, (2007). Nighttime transpiration in woody plants from contrasting ecosystems. Tree Physiology 27, 561–575.Google Scholar
Doumenge, C, Gilmour, D, Perez, MR and Blochus, J, (1995). Tropical montane cloud forests: Conservation status and management issues. In Tropical Montane Cloud Forests, Hamilton, LS, Juvik, JO and Scatena, FN (Eds), pp. 24–37, Springer, New York.
Girardin, CAJ, Malhi, Y, Aragao, LEOC, Mamani, M, Huasco, WH, Durand, L, Feeley, KJ, Rapp, J, Silva-Espejo, JE, Silman, M, Salinas, N and Whittaker, RJ, (2010). Net primary productivity allocation and cycling of carbon along a tropical forest elevational transect in the Peruvian Andes. Global Change Biology 16, 3176–3192.Google Scholar
Gotsch, SG, Asbhjornses, H, Holwerda, F, Goldsmith, GR, Weintraub, AE and Dawson, TE, (2013). Foggy days and dry nights determine crown-level water balance in a seasonal tropical montane cloud forest. Plant, Cell and Environment 37, 261–272.Google Scholar
Hutley, LB, Doley, D, Yates, DJ and Boonsaner, A, (1997). Water balance of an Australian subtropical rainforest at altitude: the ecological and physiological significance of intercepted cloud and fog. Australian Journal of Botany 45, 311–329.Google Scholar
Jarvis, A and Mulligan, M, (2011). The climate of cloud forests. Hydrological Processes 25, 327–343.Google Scholar
Lawton, RO, Nair, US, Pielke, RA and Welch, RM, (2001). Climatic impact of tropical lowland deforestation on nearby montane cloud forests. Science, 294, 584–587.Google Scholar
Letts, MG and Mulligan, M, (2005). The impact of light quality and leaf wetness on photosynthesis in north-west Andean tropical montane cloud forest. Journal of Tropical Ecology 21, 549–57.Google Scholar
Letts, MG, Mulligan, M, Rincon-Romero, ME and Bruijnzeel, LA, (2010). Environmental controls on photosynthetic rates of lower montane cloud forest vegetation in SW Colombia. In Tropical Montane Cloud Forests: Science for Conservation and Management. Bruijnzeel, LA, Scatena, FN and Hamilton, LS (Eds). Cambridge University Press, UK.
Malhi, Y, LEOC Arag, DB Metcalfe, R Paiva, C Quesada, S Almeida, L Anderson, P Brando, JQ Chambers, ACL da Costa, LR Hutyra, P Oliveira, S Patinõ, EH Pyle, AL Robertson and LM Teixeira, (2009). Comprehensive assessment of carbon productivity, allocation and storage in three Amazonian forests. Global Change Biology, 15(5), 1255–1274.
Marthews, TR, Malhi, Y, Girardin, CAJ, Espejo, JES, Aragao, LEOC, Metcalfe, DB, Rapp, JM, Mercado, LAM, Fisher, RA, Galbrait, DR, Fisher, JB, Salinas-Revilla, N, Friend, AD, Restrepo-Coupe, N and Williams, RJ, (2012). Simulating forest productivity along a neotropical elevational transect: temperature variation and carbon use efficiency. Global Change Biology 18, 2882–2898.Google Scholar
Motzer, T, Munz, N, Kuppers, M, Schmitt, D and Anhuf, D, (2005). Stomatal conductance, transpiration and sap flow of tropical montane rain forest trees in the southern Ecuadorian Andes. Tree Physiology 25, 1283–1293.Google Scholar
Murugan, M, Shetty, PK, Anandhi, A, Ravi, R, Alappan, S, Vasudevan, M and Gopalan, S, (2009). Rainfall changes over tropical montane cloud forests of southern Western Ghats, India. Current Science 97, 1755–1760.Google Scholar
Myers, N, Mittermier, RA, Mittermier, CG, da Fonesca, GA B and Kent, J, (2000). Biodiversity hotspots for conservation priorities, Nature 403, 853–858.Google Scholar
Moser, G, Leuschner, C, Roderstein, M, Graefe, S, Soethe, N and Hertel, D, (2010). Biomass and productivity of fine and coarse roots in five tropical mountain forest stands along an altitudinal transect in southern Ecuador. Plant Ecology and Diversity 3, 151–64.Google Scholar
Nair, US, Lawton, RO, Welch, RM and Pielke, RA, (2003). Impact of land use on Costa Rican tropical montane cloud forests: Sensitivity of cumulus cloud field characteristics to lowland deforestation. Journal of Geophysical Research 108(D7), 4206, doi:10.1029/2001JD001135.Google Scholar
Pocas, I, Cunha, M, Pereira, LS and Allen, RG, (2013). Using remote sensing energy balance and evapotranspiration to characterise montane landscape vegetation with focus on grass and pasture lands. International Journal of Applied Earth Observation and Geoinformation 21, 159–172.Google Scholar
Ray, DK, Nair, US, Lawton, RO, Welch, RM and Pielke, RA, (2006). Impact of land use on Costa Rican tropical montane cloud forests: Sensitivity of orographic cloud formation to deforestation in the plains. Journal of Geophysical Research 111, D02108, doi:10.1029/2005JD006096.Google Scholar
Scatena, SN, Bruijnzeel, LA, Bubb, P and Das, S, (2010). Setting the stage. In Tropical Montane Cloud Forests: Science for Conservation and Management. Bruijnzeel, LA, Scatena, FN and Hamilton, LS (Eds). Cambridge University Press, UK.
Weg, MJ van de, Meir, P, Grace, J and Ramos, GD, (2012). Photosynthetic parameters, dark respiration and leaf traits in the canopy of a Peruvian tropical montane cloud forest. Oecologia 168, 23–34.Google Scholar
Wang, Y-C, Chang, TY TY and Liou, Y-A, (2010). Terrain correction for increasing the evapotranspiration estimation accuracy in a mountainous watershed. IEE Geoscience and Remote Sensing Letters 7, DOI: 10.1109/LGRS.2009.2035138Google Scholar
Wright, IJ, PB Reich, M Westoby and DD Ackerly, et al., (2004). The world-wide leaf economics spectrum. Nature 428, 821–827.

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×