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Background

Tropical dry forests cover less than 13 % of the world's tropical forests and their area and biodiversity are declining. In southern Africa, the major threat is increasing population pressure, while drought caused by climate change is a potential threat in the drier transition zones to shrub land. Monitoring climate change impacts in these transition zones is difficult as there is inadequate information on forest composition to allow disentanglement from other environmental drivers.

Methods

This study combined historical and modern forest inventories covering an area of 21, 000 km2 in a transition zone in Namibia and Angola to distinguish late succession tree communities, to understand their dependence on site factors, and to detect trends in the forest composition over the last 40 years.

Results

The woodlands were dominated by six tree species that represented 84 % of the total basal area and can be referred to as Baikiaea - Pterocarpus woodlands. A boosted regression tree analysis revealed that late succession tree communities are primarily determined by climate and topography. The Schinziophyton rautanenii and Baikiaea plurijuga communities are common on slightly inclined dune or valley slopes and had the highest basal area (5.5 - 6.2 m2 ha-1). The Burkea africana - Guibourtia coleosperma and Pterocarpus angolensis - Dialium englerianum communities are typical for the sandy plateaux and have a higher proportion of smaller stems caused by a higher fire frequency. A decrease in overall basal area or a trend of increasing domination by the more drought and cold resilient B. africana community was not confirmed by the historical data, but there were significant decreases in basal area for Ochna pulchra and the valuable fruit tree D. englerianum.

Conclusions

The slope communities are more sheltered from fire, frost and drought but are more susceptible to human expansion. The community with the important timber tree P. angolensis can best withstand high fire frequency but shows signs of a higher vulnerability to climate change. Conservation and climate adaptation strategies should include protection of the slope communities through refuges. Follow-up studies are needed on short term dynamics, especially near the edges of the transition zone towards shrub land.


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Patterns of forest composition and their long term environmental drivers in the tropical dry forest transition zone of southern Africa

Show Author's information Vera De Cauwer1,2( )Coert J. Geldenhuys3Raf Aerts2,4Miya Kabajani1Bart Muys2
Namibia University of Science and Technology, Faculty of Natural Resources and Spatial Sciences, Private Bag 13388, Windhoek, Namibia
University of Leuven, Division Forest, Nature and Landscape, Celestijnenlaan 200E box 2411, BE-3001 Leuven, Belgium
Forest & Wood Science, Stellenbosch University, c/o Forestwood cc, Murrayfield, Pretoria, South Africa
University of Leuven, Division Ecology, Evolution and Biodiversity Conservation, Kasteelpark Arenberg 31-2435, BE-3001 Leuven, Belgium

Abstract

Background

Tropical dry forests cover less than 13 % of the world's tropical forests and their area and biodiversity are declining. In southern Africa, the major threat is increasing population pressure, while drought caused by climate change is a potential threat in the drier transition zones to shrub land. Monitoring climate change impacts in these transition zones is difficult as there is inadequate information on forest composition to allow disentanglement from other environmental drivers.

Methods

This study combined historical and modern forest inventories covering an area of 21, 000 km2 in a transition zone in Namibia and Angola to distinguish late succession tree communities, to understand their dependence on site factors, and to detect trends in the forest composition over the last 40 years.

Results

The woodlands were dominated by six tree species that represented 84 % of the total basal area and can be referred to as Baikiaea - Pterocarpus woodlands. A boosted regression tree analysis revealed that late succession tree communities are primarily determined by climate and topography. The Schinziophyton rautanenii and Baikiaea plurijuga communities are common on slightly inclined dune or valley slopes and had the highest basal area (5.5 - 6.2 m2 ha-1). The Burkea africana - Guibourtia coleosperma and Pterocarpus angolensis - Dialium englerianum communities are typical for the sandy plateaux and have a higher proportion of smaller stems caused by a higher fire frequency. A decrease in overall basal area or a trend of increasing domination by the more drought and cold resilient B. africana community was not confirmed by the historical data, but there were significant decreases in basal area for Ochna pulchra and the valuable fruit tree D. englerianum.

Conclusions

The slope communities are more sheltered from fire, frost and drought but are more susceptible to human expansion. The community with the important timber tree P. angolensis can best withstand high fire frequency but shows signs of a higher vulnerability to climate change. Conservation and climate adaptation strategies should include protection of the slope communities through refuges. Follow-up studies are needed on short term dynamics, especially near the edges of the transition zone towards shrub land.

Keywords: Climate change, Disturbance, Baikiaea woodland, Tree community, Namibia, boosted regression trees, Pterocarpus angolensis, Miombo Ecoregion

References(105)

Aarrestad PA, Masunga GS, Hytteborn H et al (2011) Influence of soil, tree cover and large herbivores on field layer vegetation along a savanna landscape gradient in northern Botswana. J Arid Environ 75:290-297. doi:10.1016/j.jaridenv.2010.10.009

Aertsen W, Kint V, Van Orshoven J et al (2010) Comparison and ranking of different modelling techniques for prediction of site index in Mediterranean mountain forests. Econ Model 221:1119-1130

Allen CD, Macalady AK, Chenchouni H et al (2010) A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests. For Ecol Manage 259:660-684

Araújo MB, New M (2007) Ensemble forecasting of species distributions. Trends Ecol Evol (Amst) 22:42-47. doi:10.1016/j.tree.2006.09.010

Archibald S, Roy DP, Wilgen V et al (2009) What limits fire? An examination of drivers of burnt area in Southern Africa. Glob Chang Biol 15:613-630

Banda T, Schwartz MW, Caro TM (2006) Effects of fire on germination of Pterocarpus angolensis. For Ecol Manage 233:116-120

Barbosa PM, Stroppiana D, Grégoire J-M, Cardoso Pereira JM (1999) An assessment of vegetation fire in Africa (1981-1991): Burned areas, burned biomass, and atmospheric emissions. Global Biogeochem Cycles 13:933-950

Barnes JI, MacGregor JJ, Nhuleipo O, Muteyauli PI (2010) The value of Namibia's forest resources: Preliminary economic asset and flow accounts. Dev South Afr 27:159-176. doi:10.1080/03768351003740373

Bittner A (2002) Hydrogeology of the Kavango region. BIWAC, Windhoek
Blackie R, Baldauf C, Gautier D et al (2014) Tropical dry forests. The state of global knowledge and recommendations for future research. CIFOR, Bogor

Bond W, Midgley G, Woodward F (2003) What controls South African vegetation-climate or fire? S Afr J Bot 69:79-91

Burke A (2002) Present vegetation of the Kavango. J Namibia Sci Soc 50:133-145

Burke A (2006) Savanna trees in Namibia-Factors controlling their distribution at the arid end of the spectrum. Flora-Morphol, Distrib, Funct Ecology Plants 201:189-201. doi:10.1016/j.flora.2005.06.011

Cabral AIR, Vasconcelos MJ, Oom D, Sardinha R (2011) Spatial dynamics and quantification of deforestation in the central-plateau woodlands of Angola (1990-2009). Appl Geogr 31:1185-1193

Cauwer D (2015) Towards estimation of growing stock for the timber tree Pterocarpus angolensis in Namibia. Bridging the gap between forest information needs and forest inventory capacity. University of Goettingen, Pietermaritzburg
Chakanga M, Selanniemi T (1998) Forest Inventory report of Nkurenkuru concession area. Namibia Finland Forestry Programme, Windhoek
Chidumayo EN, Gumbo DJ (2010) The dry forests and woodlands of Africa: managing for products and services. Earthscanhttps://doi.org/10.4324/9781849776547
DOI

Childes SL, Walker BH (1987) Ecology and dynamics of the woody vegetation on the Kalahari sands in Hwange National Park, Zimbabwe. Vegetatio 72:111-128

Christelis G, Struckmeier W (eds) (2011) Groundwater in Namibia. An explanation to the Hydrogeological map. Second. Department of Water Affairs, Windhoek

Coelho H (1964) Contribuição para o Conhecimento da Composição Florística e Possibilidades de uma Zona Compreendida entre os rios Cubango, Cueio e Quatir. Agronomia Angolana 20:49-82

Coelho H (1967) Zonagem Florestal do Distrito do Cuando-Cubango. Primeiros elementos. Agronomia Angolana., pp 3-28
Core Team R (2012) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna
Curtis B, Mannheimer C (2005) Tree Atlas of Namibia. National Botanical Research Institute, Windhoek

De Cauwer V (2013) Mashare - Woody Vegetation. Biodiversity Ecol 5:117. doi:10.7809/b-e.00262

De Cauwer V, Muys B, Revermann R, Trabucco A (2014) Potential, realised, future distribution and environmental suitability for Pterocarpus angolensis DC in southern Africa. For Ecol Manage 315:211-226. doi:10.1016/j.foreco.2013.12.032

De Cáceres M, Legendre P, Moretti M (2010) Improving indicator species analysis by combining groups of sites. Oikos 119(10):1674-1684

De Raedt JA (1961) Ontginning van inheemse bosse. Suidwes, Afrika

De'Ath G (2007) Boosted trees for ecological modeling and prediction. Ecology 88:243-251

Diniz AC (1973) Características mesológicas de Angola: Descrição e correlação dos aspectos fisiográficos dos solos e da vegetação das zonas agrícolas angolanas. Missão de inquéritos agrícolas de Angola, Nova Lisboa

Dufrene M, Legendre P (1997) Species assemblages and indicator species : the need for a flexible asymmetrical approach. Ecol Monogr 67:346-366

Elith J, Graham C, Dudik M et al (2006) Novel methods improve prediction of species' distributions from occurrence data. Ecography 29:129-151

Elith J, Leathwick JR, Hastie T (2008) A working guide to boosted regression trees. J Anim Ecol 77:802-813. doi:10.1111/j.1365-2656.2008.01390.x

Fanshawe DB (2010) Vegetation descriptions of the Upper Zambezi districts of Zambia. Edited and reissued by J.R. Timberlake and M.G. Bingham. Biodiversity Foundation for Africa, Bulawayo
FAO (2000) Global ecological zones
FAO (2001) Global Forest Resources Assessment 2000. Main report. FAO, Rome

Froeschke J, Stunz GW, Wildhaber ML (2010) Environmental influences on the occurrence of coastal sharks in estuarine waters. Mar Ecol Prog Ser 407:279-292

Ganzin N, Coetzee M, Rothauge A, Fotsing J-M (2005) Rangeland resources assessment with satellite imagery: an operational tool for national planning in Namibia. Geochem Int 20:33-42

Geldenhuys CJ (1977) The effect of different regimes of annual burning on two woodland communities in Kavango. South Afr For J 103:32-42

Geldenhuys CJ (1992) Stock enumeration and management planning of the woodlands in Kavango, 2nd edn. CSIR, South Africa

Giess W (1998) A preliminary vegetation map of Namibia, 3rd revised edition. Dinteria 4:1-112

Girot PO (1998) Feasability for collaborative management schemes in forest conservation areas in Namibia. Directorate of Forestry. Namibia-Finland Forestry Program, Windhoek

Graz FP (1999) A preliminary terrain feature classification of the Okavango region Namibia. S Afr J Surg Geo-Inf 1:123-128

Graz FP (2006) Spatial diversity of dry savanna woodlands. In: Hawksworth DL, Bull AT (eds) Forest Diversity and Management. Springer Netherlands, Dordrecht, pp 83-97https://doi.org/10.1007/978-1-4020-5208-8_6
DOI

Gröngröft A, Luther-Mosebach J, Landschreiber L, Eschenbach A (2013) Mashare - Soils. Biol Ecol 5:105. doi:10.7809/b-e.00259

Hansen MC, Potapov PV, Moore R et al (2013) High-resolution global maps of 21st-century forest cover change. Science 342:850-853

Harris I, Jones PD, Osborn TJ, Lister DH (2013) Updated high‐resolution grids of monthly climatic observations. The CRU TS 3.10 Datasethttps://doi.org/10.1002/joc.3711
DOI

Hély C, Bremond L, Alleaume S et al (2006) Sensitivity of African biomes to changes in the precipitation regime. Glob Ecol Biogeogr 15:258-270

Higgins SI, Bond WJ, February EC et al (2007) Effects of four decades of fire manipulation on woody vegetation structure in savanna. Ecology 88:1119-1125

Hijmans RJ, Cameron SE, Parra JL et al (2005) Very high resolution interpolated climate surfaces for global land areas. Int J Climatol 25:1965-1978

Holdo RM (2006) Elephant herbivory, frost damage and topkill in Kalahari sand woodland savanna trees. J Veg Sci 17:509-518

Holdo RM (2007) Elephants, fire, and frost can determine community structure and composition in Kalahari woodlands. Ecol Appl 17:558-568

Holdo RM, Timberlake J (2008) Rooting depth and above-ground community composition in Kalahari sand woodlands in western Zimbabwe. J Trop Ecol 24:169-176. doi:10.1017/S0266467408004835

IPCC (2007) Climate Change 2007: Impacts, Adaptation and Vulnerability: Working Group Ⅱ Contribution to the Fourth Assessment Report of the IPCC Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, UK

IPCC (2014) Climate Change 2014-Impacts, Adaptation and Vulnerability: Regional Aspects. Cambridge University Press, Cambridge, UK

Jenness J (2006) Grid Tools v. 1.7 extension for ArcView 3 (Jenness Enterprises)
Kabajani MW (2013) The population structure of Pterocarpus angolensis (Kiaat) in response to recent harvesting in western Kavango. B.Sc.Hons, Polytechnic of Namibia, Namibia

Kalwij JM, de Boer WF, Mucina L et al (2010) Tree cover and biomass increase in a southern African savanna despite growing elephant population. Ecol Appl 20:222-233

Kamwi JM (2003) Woody Resources Report of Hans Kanyinga Community Forest. Directorate of Forestry, Ministry of Environment and Tourism
Kanime N (2003) Woody Resource Report of Ncamangoro Community Forest

Lavorel S, Flannigan MD, Lambin EF, Scholes MC (2007) Vulnerability of land systems to fire: Interactions among humans, climate, the atmosphere, and ecosystems. Mitig Adapt Strateg Glob Chang 12:33-53

Leadley P (2010) Biodiversity Scenarios: Projections of 21st Century Change in Biodiversity, and Associated Ecosystem Services: a Technical Report for the Global Biodiversity Outlook 3. Secretariat of the Convention on Biological Diversity, Montreal

Leathwick JR, Elith J, Francis MP et al (2006) Variation in demersal fish species richness in the oceans surrounding New Zealand: an analysis using boosted regression trees. Mar Ecol Prog Ser 321:267-281

Liu H, Yin Y (2013) Response of forest distribution to past climate change: An insight into future predictions. Chin Sci Bull 58:4426-4436

Liu G, Liu H, Yin Y (2013) Global patterns of NDVI-indicated vegetation extremes and their sensitivity to climate extremes. Environ Res Lett 8:25009

Loarie SR, van Aarde RJ, Pimm SL (2009) Elephant seasonal vegetation preferences across dry and wet savannas. Biol Conserv 142:3099-3107

Lucht W, Schaphoff S, Erbrecht T et al (2006) Terrestrial vegetation redistribution and carbon balance under climate change. Carbon Balance Manage 1:6

Makhabu SW, Skarpe C, Hytteborn H, Mpofu ZD (2006) The plant vigour hypothesis revisited-how is browsing by ungulates and elephant related to woody species growth rate? Plant Ecol 184:163-172

Mannheimer CA, Curtis BA (eds) (2009) Le Roux and Müller's Field Guide to the Trees and Shrubs of Namibia. Macmillan Education Namibia, Windhoek
McCune B, Mefford MJ (1999) PC-ORD. Multivariate analysis of ecological data. MjM Software Design, Oregon
McCune B, Mefford MJ (2011) PC-ORD. Multivariate Analysis of Ecological Data, Version 6. MjM Software Design, Oregon
McCune B, Grace JB, Urban DL (2002) Analysis of ecological communities. MjM Software Design, Oregon
Mendelsohn J (2009) Land use in Kavango : past, present and future. OKACOM, Maun
Mendelsohn J, Obeid SE (2004) Okavango River: The Flow of a Lifeline. Struik

Miles L, Newton AC, DeFries RS et al (2006) A global overview of the conservation status of tropical dry forests. J Biogeography 33:491-505

Mitlöhner R (1993) Regengrüne Baikiaea-Trockenwälder on Ost-Caprivi, Namibia. Forstarchiv 64:264-274

Mosugelo DK, Moe SR, Ringrose S, Nellemann C (2002) Vegetation changes during a 36-year period in northern Chobe National Park, Botswana. Afr J Ecol 40:232-240. doi:10.1046/j.1365-2028.2002.00361.x

Phillips SJ, Dudík M (2008) Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 31:161-175. doi:10.1111/j.0906-7590.2008.5203.x

Pricope NG, Binford MW (2012) A spatio-temporal analysis of fire recurrence and extent for semi-arid savanna ecosystems in southern Africa using moderate-resolution satellite imagery. J Environ Manage 100:72-85. doi:10.1016/j.jenvman.2012.01.024

Pröpper M, Vollan B (2013) Beyond Awareness and Self-Governance: Approaching Kavango Timber Users' Real-Life Choices. Land 2:392-418. doi:10.3390/land2030392

Pröpper M, Gröngröft A, Falk T, et al. (2010) Causes and perspectives of land-cover change through expanding cultivation in Kavango, Gottingen & Windhoek
Rechberger S (2008) Likwaterera community forest. Participatory Natural Resource Assessment (PNRA). Community Forestry in north-eastern Namibia, Windhoek

Revermann R, Finckh M (2013) Caiundo - Vegetation. Biodiversity Ecol 5:91-96. doi:10.7809/b-e.00255

Ridgeway G (2014) Package "gbm". Generalized Boosted Regression Models

Rogelj J, Meinshausen M, Knutti R (2012) Global warming under old and new scenarios using IPCC climate sensitivity range estimates. Nature Climate Change 2(4):248-253

Sankaran M, Hanan NP, Scholes RJ et al (2005) Determinants of woody cover in African savannas. Nature 438:846-849. doi:10.1038/nature04070

Sankaran M, Ratnam J, Hanan N (2008) Woody cover in African savannas: the role of resources, fire and herbivory. Glob Ecol Biogeogr 17:236-245

Santos RM (1982) Itinerários florísticos e carta da vegetação do Cuando-Cubango. Instituto de Investigação Científica Tropical, Lisbon
Schelstraete M (2016) Assessment of fire damage on the forest population near Hamoye, Kavango. M.Sc. Thesis, University of Ghent, Namibia

Schneibel A, Stellmes M, Revermann R et al (2013) Agricultural expansion during the post-civil war period in southern Angola based on bi-temporal Landsat data. Biodiversity Ecol 5:311. doi:10.7809/b-e.00285

Shackleton CM, Shackleton SE, Buiten E, Bird N (2007) The importance of dry woodlands and forests in rural livelihoods and poverty alleviation in South Africa. Forest Policy Econ 9:558-577

Sloan S, Sayer JA (2015) Forest Resources Assessment of 2015 shows positive global trends but forest loss and degradation persist in poor tropical countries. For Ecol Manage 352:134-145. doi:10.1016/j.foreco.2015.06.013

Snyder PK, Delire C, Foley JA (2004) Evaluating the influence of different vegetation biomes on the global climate. Climate Dynam 23:279-302

Stellmes M, Frantz D, Finckh M, Revermann R (2013a) Fire frequency, fire seasonality and fire intensity within the Okavango region derived from MODIS fire products. Biodiversity Ecol 5:351. doi:10.7809/b-e.00288

Stellmes M, Frantz D, Finckh M, Revermann R (2013b) Okavango Basin - Earth Observation. Biodiversity Ecol 5:23. doi:10.7809/b-e.00239

Strohbach (2013) Vegetation of the Okavango River valley in Kavango West, Namibia. Biodivers Ecol 5:321-339

Strohbach BJ, Petersen A (2007) Vegetation of the central Kavango woodlands in Namibia: An example from the Mile 46 Livestock Development Centre. S Afr J Bot 73:391-401

Therrell MD, Stahle DW, Mukelabai MM, Shugart HH (2007) Age, and radial growth dynamics of Pterocarpus angolensis in southern Africa. For Ecol Manage 244:24-31

Thijs KW, Aerts R, Musila W et al (2014) Potential tree species extinction, colonization and recruitment in Afromontane forest relicts. Basic Appl Ecol 15:288-296

Thuiller W, Midgley GF, Hughes GO et al (2006) Endemic species and ecosystem sensitivity to climate change in Namibia. Glob Chang Biol 12:759-776

Van Holsbeeck S, De Cauwer V, De Ridder M et al (2016) Annual diameter growth of Pterocarpus angolensis (Kiaat) and other woodland species in Namibia. For Ecol Manag 373:1-8. doi:10.1016/j.foreco.2016.04.031

Verlinden A (2004) Number of times different places burnt during the past 13 years, Kavango. In: Okavango River: The flow of a lifeline. National Remote Sensing Centre Namibia, Windhoek,

Wallenfang J, Finckh M, Oldeland J, Revermann R (2015) Impact of shifting cultivation on dense tropical woodlands in southeast Angola. Tropical Conservation Science 8:863-892

Worbes M (n.d.) Growth of trees from Namibia. A dendrochronological study. Unpublished report
WWF (2012) Miombo Eco-region. Home of the Zambezi. Conservation strategy 2011-2020. WWF, Harare

Zhu K, Woodall CW, Ghosh S et al (2014) Dual impacts of climate change: forest migration and turnover through life history. Glob Chang Biol 20:251-264

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Publication history

Received: 26 April 2016
Accepted: 26 August 2016
Published: 16 September 2016
Issue date: March 2017

Copyright

© 2016 The Author(s).

Acknowledgements

Acknowledgements

We acknowledge the support and data of the Namibian Directorate of Forestry (DoF) and the Namibian Community Forestry project. The Namibian Ministry of Environment and Tourism issued the permits to perform field work. We would especially like to thank Dr. Jonathan Kamwi for his assistance with the DoF data and Dr. Marion Stellmes for providing the EVI and burned area data derived from MODIS. We are thankful to the team of the Universities of Göttingen and Stellenbosch (prof. Christoph Kleinn and Cori Ham), Dr. Patrick Graz, Dr. Johannes Stoffels, Rasmus Revermann, Miguel Hilario and Fransiska Kangombe for their contributions to field work.

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