Long-term Forest Dynamics in Peruvian Amazonia 1Jones,T.D., 1Roucoux,K.R., 1Baker,T.R., 2Gosling,W.D., 1,3Honorio,E., 4Lähteenoja,O., 1Lawson,I.T. 1 School of Geography, University of Leeds, Leeds, UK; 2 Department of Earth and Environmental Sciences, CEPSAR, The Open University, UK; 3Instituto de Investigaciones de la Amazonia Peruana (IIAP), Peru; 4Department of Biology, University of Turku, Finland 1. INTRODUCTION 5. STUDY SITES The dynamics of tropical forests are changing, with significant implications for the global carbon cycle and regional climate, The but monitoring of forests has been undertaken systematically only since the 1970s. We are investigating the potential of Amazonia, near Iquitos, Loreto, in northern peat sequences in northwest Amazonia, recently dated and found to accumulate exceptionally rapidly, to provide finely- Peru. The climate is hot and humid: mean resolved pollen records that extend the forest history back over several millennia, providing a much-needed long-term annual temperature: 26˚C; mean annual perspective. These data will provide insights into the mechanisms driving current changes in tropical forest ecology and precipitation: 3100 mm [14]. The area is the sensitivity of these forests to future disturbance and climatic change. characterised by extensive floodplains, sites are containing located seasonally in Peruvian flooded tropical forest and aguajales: swamps dominated 2. RATIONALE by the palm Mauritia flexuosa. Studies of a network of forest plots across Amazonia [1] show that rates of tree mortality and recruitment [2], growth rates A recent survey of the area revealed the [3] (e.g. see figure below) and overall forest biomass [4] have increased over the past three decades. Liana abundance presence of extensive peat deposits up to has increased [5], and populations of faster-growing canopy trees are expanding at the expense of slower-growing 5.9 m thick. Peat accumulation rates were understorey species [6]. Understanding the mechanisms behind these changes is important for predicting their consequences for biodiversity, the global carbon cycle and the rate of climate change [7]. Mean rate of stem recruitment, stem mortality, and their between 1.69 and 2.56 mm yr-1, and Site locations: core site names are in boxes. (Adapted from [15]). carbon accumulation ranged from 39 to Three sites with differing characteristics (e.g. ombrotrophic and 85 g C m-2 yr-1 over the past 3000 cal yr minerotrophic) and demonstrating strong potential for high-resolution BP. Carbon storage and flux associated palynological analysis were selected from the aforementioned survey [15] with for further study. These are described below: the peatlands may be globally significant [15]. difference (with 95% confidence intervals), determined from 50 1. Quistococha long-term monitoring plots across South America (1971-2002). Solid lines = additions; dotted lines = losses; lines with error bars = difference [3]. • Mauritia flexuosa palm swamp • Nutrient-poor ombrotrophic peatland [16] • pH 3.14, conductivity 73.5 µS cm-1 • 5.90 m sediment core obtained; consisting of 4.13 m peat; remainder grey clay • Basal peat horizon previously radiocarbon dated to 2335 cal yr BP [15]. The cause of these changes has generated intense debate as it has implications for whether Amazonian forests are This aguajale is found adjacent to Lake Quistococha. A currently acting as a carbon sink and therefore slowing climate change. It has been suggested that the increase in lake sediment core was retrieved from the lake to allow biomass in many plots might be explained by recovery from disturbance events prior to monitoring [8]. If correct, simple Above: Lake Quistococha and adjacent palm swamp forest. comparison with the peat cores. Lake gyttja is underlain by extrapolations from the forest plot data to estimate a regional carbon sink may be sensitive to how well current networks similar grey clay to that found below the peat in the sample the full disturbance/recovery mosaic [9]. Even if the current plot network is robust to this bias [10], it is important to aguajale. A full vegetational succession sequence should understand whether the regional carbon sink is driven by recovery from disturbance, or increased resource availability be recorded in the Quistococha peat core, documenting the [11], in order to predict its long-term trajectory and sensitivity to future fluctuations in climate and disturbance regimes. The A) initiation and growth of the palm swamp forest associated only way to address this directly is to examine the history of currently monitored areas using palaeoecological techniques with infilling of the lake. (e.g. [12]). B) 2. Buena vista 3. RESEARCH OBJECTIVES • Seasonally flooded forest • Minerotrophic peatland – This research will investigate the potential of Peruvian peat sequences to C) nutrients from flooding produce pollen records of the local vegetation history over the past 3000 years • (focusing in most detail on the last 1000 years). Specifically we aim to: Above: A) Peat core from the Quistococha aguajale (3.15-3.65 m depth); B) Transition into clay beneath the peat in the aguajale (4.05-4.55 m); C) Lake Quistococha sediment core – grey clay (6.79-7.39 m). pH 4.75; conductivity 113.3 µS cm-1 • 1. Characterise the peat sequences using sedimentological analyses to 3.65 m sediment core; consisting of 3.25 m peat; establish the nature and timing of peat accumulation; remainder grey clay 2. Produce pollen and charcoal records spanning the last 1000 years at c.50- • year resolution. This will allow greater understanding of succession and Basal peat horizon previously dated to disturbance processes; 1217 cal yr BP [15]. 3. Monitor vegetation change; permanent vegetation and carbon monitoring Above: Vegetation at the seasonally flooded site, Buena Vista plots of 0.5 ha have been set up around each coring location to facilitate a 3. San Jorge detailed floristic inventory at each core site and provide means to monitor changes in the future. This work complements the existing network of regional plots [13]. 4. Establish the relationship between pollen rain and vegetation by comparing pollen assemblages in surface samples with floristic inventory data obtained Above: Forest disturbance in Peruvian Amazonia (Cecropia growing along the river bank) • Mauritia flexuosa palm swamp and forest • Ombrotrophic raised bog • pH 2.76; conductivity 171 µS cm-1 • 6.35 m sediment core; consisting of 5.16 m peat; remainder grey clay around the core sites. • Basal layer of peat previously dated to 2850 cal yrs BP [15] Above: San Jorge 4. METHODOLOGY a) Coring of peat and lake sediment b) Vegetation and the pollen rain c) Contemporary monitoring Knowledge modern of the pollen rain • Analysis of pollen and spores to determine vegetation history and composition of the modern pollen rain; assemblage is a pre- • Charcoal analysis to reconstruct fire history; requisite • Determination of organic content through loss on ignition; for reliable insights into mineralogy via magnetic susceptibility; interpretation of fossil [17]. • Chronological control by correlation of loss on ignition Pollen traps were set up profiles with previously dated sequences from the sites in the plots; they will be [15]. New radiocarbon dates will also be obtained. pollen records collected after Peat and lake sediments were obtained using a Russian peat corer. A raft was constructed for coring in the centre of Lake Quistococha. Pollen trap placed 5 m above the ground to avoid flooding. d) Laboratory analysis and one re-set year to supplement information All trees with diameter at breast height (DBH) from >10 cm in the 0.5 ha plots were identified, tagged samples. the surface and the diameter measured. All stems with DBH >1 cm were measured in circular plots of 4 m radius around each pollen trap. Aguaje palm (Mauritia flexuosa) pollen (60 µm diameter) References [1] Mahli, Y. et al. 2002. J. of Veg. Sci.13, 439-450. [2] Phillips, O.L. et al. 2004. Philos. T. Roy. Soc. B 359, 381-407. [3] Lewis, S.L. et al. 2004. Philos. T. Roy. Soc. B 359, 421-436. [4] Baker, T.R. et al. 2004. Global Change Biol. 10, 545-562. [5] Phillips, O.L. et al. 2002. Nature 418, 770-774. [6] Laurance, W.F. et al. 2004 Nature 428, 171-175. [7] Cox, P.M. et al. 2008. Nature 453, 212-215. [8] Wright, S.J. et al. 2005. Trends Ecol. Evol. 20, 553-560. [9] Fisher, J.I. et al. 2008. Ecol. Lett. 11, 554-563. [10] Gloor, E. et al. 2009. 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