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Global climate change and Australia’s bi di biodiversity: it assessing i vulnerability, l bilit predicting impacts and adaptation Steve Williams Luke Shoo, Jeremy VanDerWal, Yvette Williams, Jo Isaac, Craig Moritz, Collin Storlie & many other collaborators, post-docs and students Centre for Tropical Biodiversity & Climate Change School of Marine & Tropical Biology m Cook University y James Townsville “Climate change is the single most pressing environmental,, economic and social challenge this country t f faces”” Treasury Dept. report to the federal Treasurer, Melbourne Age 1/2/2008. One problem with dealing with climate change has been the difference in the time scales between global change g and political p terms… Centre for Tropical Biodiversity & Climate Change Dark red = high species richness 70 Species Extinctions Number of P Predicted Extincctions Spatial Pattern of Species Ri h Richness 60 S-curve fit: adj. r2 = 0.997 p=0 0.001 001 50 40 30 20 10 0 0 1 2 3 4 5 6 7 Temperature Increase 110 Mean Range Size Core Ha abitat Remainin ng (%) 100 90 80 70 60 50 40 30 20 10 0 N= Williams et al. 2003. Proc Roy Soc Lond B 65 64 35 8 0 1 Current +1.0 +3.5 +5.0 +7.0 Temperature Scenario 8 Global analysis (Thomas et al. 2004 Nature 427: 7 145-148): 5 8) 18-35% 18 35% of species world wide “committed to extinction” Centre for Tropical Biodiversity & Climate Change The rainforests of the Wet Tropics are now internationally y recognised as being one of f the th mostt vulnerable l bl ecosystems on earth 1) Understanding biodiversity 2) Assessing relative vulnerability 3) Predicting P dictin imp impacts cts 4) Informing g conservation management g & policy p y 5) Developing adaptation options 6) Minimising M the h impacts How are we approaching pp g this challenge in the t tropical i l rainforests i f t of f the Australian Wet Tropics p World W Heritage Area ( highly (a h hl vulnerable l bl ecosystem)) WET TROPICS BIOREGION • ~ 10,000 sq km rainforest • 1 5 – 8.5 1.5 8 5 m/yr / rain i • 400 km long • 0.1% of Australia • approx 50% Australia Australia’ss rainforest • most biologically rich area in Australia Understanding U d di biodiversity One of the most basic parts of ecology is the understanding of what species occur where. Centre for Tropical Biodiversity & Climate Change Species Distribution models d l • ~200 species of rainforest vertebrates • ~200 species of insects (Williams S.E. et al. In review. Distributions, life history characteristics, ecological specialisation and phylogeny of the rainforest vertebrates in the Australian Wet Tropics bioregion. Ecology MS #: 09 1069) 09-1069) Rainforest Birds Species Richness Centre for Tropical Biodiversity & Climate Change Rainforest vertebrate species richness Overlayed distribution maps of all 196 species of rainforest vertebrates. Nearly 300 000 records including over 2200 standardised abundance surveys. surveys Centre for Tropical Biodiversity & Climate Change Early y studies show that we have a high diversity/endemism fauna that is adapted p to cool, wet, stable upland rainforest: very vulnerable to climate change g predictions of increasing temperature p and rainfall unpredictability. Towards an integrated framework for understanding vulnerability l bilit and d predicting impacts - enables sensible prioritisation of research directions and the allocation of management / adaptation d pt ti n resources. Vulnerability But But…. There are many complex biological factors to consider Williams Shoo Isaac Hoffmann, 2008 PLoS Biol Predicting P di i Impacts Field Projects: • Monitoring environment • Vertebrate / Invertebrate b d biodiversity •Birds, Frogs, Arboreal Mammals, R til Reptiles, Bats, B t Beetles, B tl Flies, Fli D Dung beetles, Ants, Trees • Physiology – possums / frogs • Ecosystem Processes: • Net Primary Productivity • Nutrient cycling • Decomposition rates • Soil nutrients • Fire weather • Refugia – macro / micro Cooktown Cairns Townsville Elevational sampling at 200 m intervals Centre for Tropical Biodiversity & Climate Change Williams Shoo Isaac Hoffmann, 2008 PLoS Biol Exposure p What can we expect in the Australian Wet Tropics Rainforest? • Increasing temperature • 0.9-1.6 by 2030 • 1.1-4.8 by 2070 • L Longer, g , harsher dry y seasons • Reduction in cloud stripping • More high h h intensity cyclones l Third g generation predictive p models…. • Maxent • Climate • More data / More species • 7 best GCM models run independently in 0,5 deg steps • Abundance / Total population size (one run required ~90 CPUs running for 2 weeks = ~20 000 models averaged) Lemuroid Ringtail Possum Worst Average Best Lemuroid Ringtail Possum Golden Bowerbird Worst Average Best Golden Bowerbird Geographic Population Centre Macleays Honeyeater Worst Average Best Macleays Honeyeater Rainforest Species Richness (196 species) Worst 0 Average 100 200 Species Richness Best Endemic Species Richness Worst 0 Average g 50 100 Species Richness Best Fourth g generation predictive p models…. • Combine regional distribution models and predictions with relative buffering (refugial potential) • Macro Macro-Scale Scale • Incoming energy • Topography • Canopy • Micro-Scale • Boulder fields • Under logs • Tree hollows / dens • Within the leaf litter • Underground Regional R i l climate buffering Refugia / Buffering (Luke Shoo) • • • • • Clouds Topographic C Canopy Microhabitat Distance to coast (mountain mass effect) (mountain-mass • Distance to drainage lines Williams Shoo Isaac Hoffmann, 2008 PLoS Biol Refugia and climatic buffering: landscape, habitat, microhabitat scales P t ti l f Potential factors t mediating di ti maximum i ttemperature t att llandscape d scales l + elevation + l titud latitude + dist n distance to stream + distance dist n to coast + + foliage f li cover clear l sky sk radiation ~ cloud l ud cover m ximum maximum temperature Shoo, Williams, Storlie, VanDerWal, Williams, unpublished) November max p temperature Adjusted Max Temperature Degree of Buffering ºC + 3.8 - esoclim -13.2 13 2 Microhabitat b ff i buffering – a g good news story y Thorntons Peak Nursery Frog – Critically Endangered (IUCN) due to climate change Boulder field temperature & humidity buffering: it stays much cooler and more constant down in the b ld boulders But you can can’tt hide all the time……. time daily d il activity ti it patterns tt need d tto b be ttaken k iinto t account Actual Temperature Exposure Accounting for both microhabitat buffering and daily activity pattern (Andres Merino-Viteri, Shoo, Williams unpublished) Realised exposure 5 – 18 deg. Sensitivity Williams Shoo Isaac Hoffmann, 2008 PLoS Biol What can this species tolerate? l ? - physiology Thermal preference p Thermal tolerance Desiccation resistance Centre for Tropical Biodiversity & Climate Change Centre for Tropical Biodiversity & Climate Change Thermal physiology of f C.. concinnus: • maximum i temperature tolerance is ~ 27-32 deg g with 34 being g lethal. So C. C concinnus should be buffered from direct impacts: • • • Nocturnal behaviour Boulders buffering the maximum temperatures Wide-enough temperature tolerance to handle night-time temperatures Of course, this does not account for impacts on breeding biology or biotic interactions. However, sometimes things are worse than we originally predicted di t d ttoo. Lemuroid Ringtail Possum (Hemibelideus lemuroides)) Martin Cohen www.wildaboutaustralia.com • Only recorded above 1100 m • Distribution Di t ib ti d driven i b by maximum i ttemperature t • High proportion of white individuals ~50% • occurs mostly between 700 m and 1000 m • Distribution driven by maximum temperature and dry season rainfall • Very low proportion of white individuals ~1/2000 Mike Trenerry Predictive distributions under future climate change suggests that the northern population would go extinct with 1 – 1.5 deg of warming, while the southern lineage will persist for 2.5-3.5 degrees. We have already had ~0.8 deg. 20 YEARS OF FIELD DATA • Mid 80s ~ 6 6-10 10 individuals per km of spotlighting • 1996-2005: ~0.8 individuals per km • 2005-2008: 2005 2008: no individuals seen in 50 km of transects • • • • Incl 12 transects by us over 2005-2008 8 transects t t by b us octt 2008 18 transects by us Jan 2009 12 transects by tour guide (Cohen) 2006-2007 Trennery 1992; Williams unpublished data Extreme temperature events at 1200 m site: The number of consecutive days where daily maximums were above b the h 90thh percentile l (~28 ( º C)) No Lemuroids Lots of Lemuroids Few Lemuroids • N Northern th population l ti has h significantly lower tolerance and/or • Interactive effect between physiological h i l i l temperature t t tolerance and another ecological l i l factor f t such h as biotic bi ti interactions with foliage nutrients, t i t water t availability il bilit or predators/diseases etc The really hard bit… Wh t do What d we do? d ? • • • • Assess vulnerability carefully Predict Impacts Informed prioritisation Monitoring Informing I f i Management Thornton Peak 0 50 100 Species Richness Windsor Daintree Lowlands Carbine Significant Refugia g for endemic biodiversity y • Averaged climate models ((7)) •4ºC • All endemic rainforest vertebrates Lamb Range Bellenden-Ker Bartle Frere Herberton Range y Tully Ad Adaptation i National Adaptation Research Network – Terrestrial B d Biodiversity National Adaptation Research Plan for Terrestrial Biodiversity The aims of this Plan are to: 1) Identify important gaps in the information needed by sectoral decision-makers to respond to climate change in ways that reduce the vulnerability of terrestrial ecosystems; 2) Set adaptation research priorities based on these gaps; and 3) Id Identify if capacity i that h can be b harnessed h d or that h needs d development to perform priority adaptation research. National Adaptation Research Plan for Terrestrial Biodiversity Lesley Hughes Richard Hobbs Jan McDonald Mark Stafford Smith Will Steffen Stephen Williams (Macquarie University) (Murdoch University) (Griffith University) (CSIRO) (ANU) (James Cook University) What should the new conservation g goals under climate change g be? What legal, policy and institutional architecture can best achieve biodiversity conservation goals? What long term observation systems will be needed? What architectures (configurations) of land cover confer maximum resilience for biodiversity? How will climate change interact with other key stressors? How can large-scale carbon mitigation initiatives maximise biodiversity conservation benefits? How can the major socio-economic trends be harnessed to yield effective biodiversity outcomes? What are the costs / benefits of different adaptation measures in key communities and ecosystems? How should fire management respond to climate change? How should management of local protected areas respond to climate change? How can a whole-of-landscape management strategy reduce biodiversity loss under climate change? In the context of investment in climate change adaptation, which species are most important? How do we identify and design effective management actions to protect priority species? How do we manage the impacts of climate change on problem species? Centre for Tropical Biodiversity & Climate Change