Survey
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
Altitudinal gradients Montane forests in the tropics tropical Temperature at the forest limit in altitude in tropical, subtropical and temperate mountains subtropical temperate Decrease in temperature with altitude: 5-6oC per 1000 m Mt. Wilhelm, Papua New Guinea Mean daily T [oC] 30 Mt Wilhelm: 5.4 oC per 1000 m elevation 30 200 25 1200 20 2000 15 2700 10 3700 5 0 m asl. 02-May-10 10-Aug-10 18-Nov-10 26-Feb-11 06-Jun-11 14-Sep-11 Date 25 Mean annual T [oC] 35 20 15 10 y = -0.0054x + 27.776 R2 = 0.987 5 0 0 1,000 2,000 Altitude m 3,000 4,000 Annual range of monthly mean temperature: an altitudinal gradient Diurnal and annual temperature range in high mountains tropical - temperate Altitude of treeline and snowline at different latitudes Korner 1998. Oecologia 115:445 Altitudes and tree species at the forest limit in humid Asian mts. BETULA PICEA LARIX ABIES Forest altitudinal zonation in Malesia Altitudinal zonation on some tropical mountains Malay Peninsula Altitudinal zonation in New Guinea Mt. Wilhem, New Guinea forest limit at 3,600 m asl Mt. Kenya Sinarundinaria alpina, Graminaceae Mt. Kenya a) tree and shrub savannah area, up to 2.200 m; b) mixed forest belt up to 3300m : the blue line represents a Bamboo dominant area, the yellow line defines a Hagenya-Hypericum zone; c) alpine zone: composed mainly of Ericaceae and grass thickets. Tropical alpine grasslands: Paramo Tropical alpine grasslands: Puna Alpine tropical plants: meristems isolated against cold by rosettes, hairs, dry leaves... Lobelia telekii (Africa) Senecio (Africa) C3 replace C4 grasses along an altitudinal gradient Kenya Ecuador [based on 220 species] Tieszen et al. 1979, Boom et al. 2001 At high temperatures and low CO2, the C3 photosynthetic enzyme rubisco fails to completely distinguish CO2 and O2. This leads to photorespiration, resulting in losses of photosynthetic carbon. C4 photosynthesis suppresses photorespiration by concentrating CO2 internally, but this comes with an energetic cost, which exceeds the photorespiratory costs of C3 photosynthesis at high CO2 and low temperatures. Edwards et al. 2010, Science 328, 587 Edwards & Smith 2010, PNAS 107: 2532–2537 C4 grasses dominate in the tropics C3 grasses C4 grasses agriculture forests other Edwards et al. 2010, Science 328, 587 Montane forests New Guinea, montane forest at 2,200 m asl Altitudinal trends - trees >20 cm DBH in Africa basal area m2/ha no. of species /ha Altitudinal trends in the main forest characteristics Pinnate leaves Leaf size Frequent Mesophyll Rare Mesophyll Very rare Microphyll Elfin forest Costa Rica Elfin x lowland forests trees DBH>10cm: No. trees/ha Basal area m2/ha LAI wood support efficiency kg 2 wood/m foliage * m height Elfin forest Puerto Rico 4000 44 2.2 1.1 [90 t of wood to support 2 ha leaves 4 m above ground] Lowland forest Malaysia 500 30 7.4 0.2 [420 t of wood to support 7.4 ha leaves 30 m above ground] Biomass and water interception in a mossy elfin forest Tanzania (2140 m asl) canopy epiphytes/ litter leaves trunk epiphytes Bryophytes along tropical altitudinal gradient Two modes of altitudinal species turnover: with complete nestedness and zero nestedness Identical altitudinal trends in species richness mean different trends in mean altitudinal range of species and beta diversity between adjacent altitudes 1.0 Beta diversity [1-Jaccard] . 10 No. of species 8 6 4 2 0 0.8 0.6 0.4 0.2 0.0 low high Altitude low high Altitude Species turnover along altitudinal gradients: Rhododendron spp. on Mt. Kinabalu Rhododendrones: 900 spp. worldwide, 300 spp. in SE Asia, 50 spp. in Borneo, 25 spp. on Mt. Kinabalu, incl. 5 endemic spp. Altitudinal distribution of 454 bird species in Papua New Guinea 0 m asl. 4500 m asl. each row is 100 m elevation belt, each column a bird species K. Tvardikova, unpubl. data Checkerboard distribution along an altitudinal gradient Altitudinal segregation of competing parrots in New Guinea: 2500 Altitude (m) 2000 1500 1000 500 0 Mt. Niba Sepik Mts. Mt. Karimui Charmosyna placentalis Karkar Is. Tolokiwa C. rubronotata New Britain C. rubrigularis Global elevation patterns of bird diversity decreasing diversity low-elevation plateaus low-elevation plateaus with mid-peaks unimodal midelevational peaks McCain, Global Ecology and Biogeography, (2009) 18, 346–360 Species richness along altitudinal gradients: • monotonous decrease from the lowland maximum OR • peak at mid-elevations? Factors causing decreasing species richness with altitude: - harsh environmental conditions (temperature) - diminishing habitat area with altitude Mid-elevation peak: - possibly as a result of geometric constraints: both lowland and high-montane species can overlap to the midelevation Geometric constraints: Madagascar study of mycalesine butterflies Mycalesine butterfly species richness Henotesia fraterna Lees et al. 1999. Biol. J. Linn. Soc. 67:529 Himalayas Birds Mammals Lepidoptera, Mt Wilhelm, New Guinea Ants: decreasing abundance and species richness with altitude, practically absent above 1,800 m Mammals Altitudinal gradients in New Guinea No. of species 100 total species: 133 max per 100m: 78 [59%] 80 60 40 20 3400 3100 2800 2500 2200 1900 1600 1300 1000 700 400 100 0 Altitude [m] Birds 500 Altitude [m] Altitude [m] 3400 3100 2800 2500 2200 1900 3400 3100 2800 2500 2200 1900 1600 1300 1000 0 700 0 400 100 100 50 1600 100 200 1300 150 300 1000 200 400 700 No. of species 250 total species: 700 max. per 100m: 468 [67%] 400 total species: 459 max. per 100m: 300 [65%] 300 No. of species Butterflies 100 350 1 Jaccard similarity . Jaccard similarity . 1.0 0.9 0.8 0.7 0.8 0.6 0.4 0.2 0 0.6 0 500 1000 1500 2000 2500 3000 3500 0 500 1000 1500 2000 2500 3000 3500 Altitudinal difference [m] Altitude m Mammals Linear (Butterflies) Birds Linear (Birds) Butterflies Linear (Mammals) Mammals Birds Butterflies Species turnover: - between neighbouring 100m altitudinal zones - with increasing altitudinal distance Butterflies along altitudinal transect at Mt Wilhelm: 200 m asl 700 m asl 1200 m asl 1700 m asl 2200 m asl are lowland species just disappearing with altitude, or are only new montane species appearing, or both at the same time? Legi 2011 Rapoport’s rule: do montane species have wider altitudinal ranges? Mean altitudinal range [m] . 2500 2000 1500 1000 500 0 0 max Altitude [m] Birds min range width midpoint 500 1000 1500 2000 2500 3000 3500 Butterflies Mammals Land area decreases enormously with altitude: we need to consider species-area effect in all altitudinal patterns New Guinea: Surface Area km2 New Guinea: Surface Area km2 1,000,000 400,000 350,000 100,000 300,000 250,000 10,000 200,000 1,000 150,000 100,000 100 50,000 0 Altitude Altitude 4550 4250 3950 3650 3350 3050 2750 2450 2150 1850 1550 1250 950 650 350 50 50 35 0 65 0 95 0 12 50 15 50 18 50 21 50 24 50 27 50 30 50 33 50 36 50 39 50 42 50 45 50 10 Species-area curves [power and logarithmic] fitted in altitudinal richness gradient: area alone predicts a strong diversity trend lowland 100 y = 63.993Ln(x) - 419.79 R2 = 0.8243 10 1000 10000 100000 1000000 Land area per 100m alt. [km2] Species-area curve S=b*Az with z=0.25 and b estimated from lowland data used to predict altitudinal trends in species richness and density in birds 350 S=b*A 300 0.25 250 200 150 100 50 0 0 500 1000 1500 2000 2500 3000 3500 No. of bird species per 1000 km 2 y = 3.3162x0.4137 R2 = 0.7881 alpine No. of bird species No. of bird species 1000 50 S = b * A0.25 45 40 35 30 25 20 15 10 5 0 0 500 1000 1500 2000 2500 3000 3500 Altitude [m] S observed Altitude [m] S predicted S observed S predicted 350 Spp. per 1000 km2 mammals, birds 300 40 250 200 30 150 20 100 10 50 Spp. per 1000 km2 butterflies 50 0 0 1000000 100000 10000 1000 100 Land area [km2] 0 m asl. 3,500 m asl. Species per 1000 km2 50 25 0 0 500 1000 1500 2000 2500 3000 3500 Altitude [m] Mammals Birds Butterflies Species density: typically [but not always] increases with altitude, as expected from a power species area relationship Climate change: species climbing up montane slopes Mt. Kinabalu, Lepidoptera: average increase in altitude 67 m from 1965 to 2007 Chen et al., PNAS 106:1479, 2009 Altitudinal gradient: the mother of all environmental gradients W. Barthlott, G. Kier, H. Kreft, W. Küper, D. Rafiqpoor & J. Mutke 2005 Altitudinal gradient: the mother of all environmental Beta diversity of gradients vertebrates Birds Amphibians Mammals decrease in species overlap over 500 km