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Native Vegetation Condition: Site to Regional Assessments

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Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

Abstract

There is an increasing emphasis in Australia on the use of vegetation condition information for regional conservation planning. The use of site-based vegetation condition assessments is a relatively mature management application with methods developed for different landscapes (e.g. rangelands and riparian) and to support a variety of natural resource management requirements (property vegetation planning or market-based instruments). On the other hand, the creation of regional-scale maps of native vegetation condition is still a developing methodology. This chapter argues that regional-scale maps of native vegetation condition are an important tool to complement site-based assessments. When combined they can provide a powerful integrated tool for regional conservation planning. Through a case study we describe a methodology for extending site-based data to maps of two vegetation condition attributes based on the BioMetric site assessment method. The case study, in the Murray Catchment in New South Wales, Australia, illustrates how an understanding of faunal response to native vegetation condition can be combined with modelled data to develop regional conservation planning maps. A spatial data aggregation approach is applied to model outcomes to address concerns about uncertainty and data confidentiality.

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References

  • Anderson R P, Lew D, Peterson AT (2003) Evaluating predictive models of species’ distributions: criteria for selecting optimal models. Ecological Modelling 162:211–232

    Article  Google Scholar 

  • Austin MP (2002) Spatial prediction of species distribution: an interface between ecological theory and statistical modelling. Ecological Modelling 157:101– 118

    Article  Google Scholar 

  • Ayers D, Seddon J, Briggs S, Doyle S, Gibbons P (2007) Interim vegetation types of NSW developed for the BioMetric tool. Department of Environment and Conservation (NSW) unpublished, p 7

    Google Scholar 

  • Catling PC, Burt RJ (1995) Studies of the ground dwelling mammals of Eucalypt forests in south-eastern New South Wales: the effect of habitat variables on distribution and abundance. Wildlife Research 22:271–88

    Article  Google Scholar 

  • Cawsey EM, Austin MP, Baker BL (2002) Regional vegetation mapping in Australia: a case study in the practical use of statistical modelling. Biodiversity and Conservation 11(12):2239–2274

    Article  Google Scholar 

  • Clevenger AP, Wierzchowski J, Chruszcz B (2002) GIS generated, expert-based models for identifying wildlife habitat linkages and planning mitigation passages. Conservation Biology 16(2):503–514

    Article  Google Scholar 

  • Cunningham RB, Lindenmayer DB, Crane M, Michael D, MacGregor C, Montague- Drake R (2008) What factors influence bird biota on farms? Putting restored vegetation into context. Conservation Biology (in press)

    Google Scholar 

  • Dare PM, Zerger A, Pickett-Heaps CA (2002) Investigation of space borne and airborne remote sensing technologies for mapping manna gum (Eucalyptus viminalis) health in south-eastern Australia. Asian Journal of Geoinformatics 3(1):63–69

    Google Scholar 

  • Drielsma M, Manion G, Ferrier S (2007) The spatial links tool: automated mapping of habitat linkages in variegated landscapes. Ecological Modelling 200(3–4):403–411

    Article  Google Scholar 

  • Ferrier S, Watson G, Pearce J, Drielsma M (2002) Extended statistical approaches to modelling spatial pattern in biodiversity in north-east New South Wales I Species-level modelling. Biodiversity and Conservation 11(12):2275–2307

    Article  Google Scholar 

  • Franklin J, McCullough P, Gray C (2000) Terrain variables used for predictive mapping of vegetation communities in Southern California. In: Wilson JP, Gallant JC (eds) Terrain analysis: principles and applications. John Wiley and Sons, New York

    Google Scholar 

  • Frescino TS, Edwards Jr TC, Moisen GG (2001) Modelling spatially explicit forest structural attributes using generalised additive models. Journal of Vegetation Science 12:15–26

    Article  Google Scholar 

  • Gallant JC, Wilson JP (2000) Primary topographic attributes. In: Wilson JP, Gallant JC (eds), Terrain analysis: principles and applications. John Wiley and Sons, New York

    Google Scholar 

  • Gibbons P, Ayers D, Seddon J, Doyle S, Briggs S (2005) BioMetric Version 18 a terrestrial biodiversity assessment tool for the NSW property vegetation plan, developer operational manual. Department of Environment and Conservation (NSW), unpublished

    Google Scholar 

  • Goldney D, Wakefield S (1997) Assessing farm bushland. In: Charles Sturt University and Orange Agricultural College (ed) Save the bush toolkit. Charles Sturt University, Bathurst, pp 1–12

    Google Scholar 

  • Guisan A, Zimmermann NE (2000) Predictive habitat distribution models in ecology. Ecological Modelling 135(2–3):147–186

    Article  Google Scholar 

  • Hinsley SA, Hill RA, Gaveau DLA, Bellamy PE (2002) Quantifying woodland structure and habitat quality for birds using airborne laser scanning. Functional Ecology 16:851–857

    Article  Google Scholar 

  • Lehmann A, Overton JMcC, Leathwick JR (2003) GRASP: generalised regression analysis and spatial prediction. Ecological Modelling 160:165–183

    Article  Google Scholar 

  • Levesque J, King DJ (1999) Airborne digital camera image semivariance for evaluation of forest structural damage at an acid mine site. Remote Sensing of the Environment 68:112–124

    Article  Google Scholar 

  • Lucas RM, Tickle PK, Witte C, Milne AK (2001) Development of multistage procedures for quantifying the biomass, structure and community composition of Australian woodlands using polarimetric radar and optical data. In: Proceedings of the International Geoscience and Remote Sensing Symposium, 9–13 July 2001, Sydney

    Google Scholar 

  • Ludwig JA, Eager GN, Bastin VH, Chewings VH, Liedloff AC (2002) A leakiness index for assessing landscape function using remote sensing. Landscape Ecology 17:157–172

    Article  Google Scholar 

  • McElhinny C, Gibbons P, Brack C, Bauhus J (2005) Forest and woodland stand structural complexity: its definition and measurement. Forest Ecology and Management 218:1–24

    Article  Google Scholar 

  • McElhinny C, Gibbons P, Brack C, Bauhaus J (2006) Fauna-habitat relationships: a basis for identifying key stand structural attributes in Australian Eucalypt forests and woodlands. Pacific Conservation Biology 12:89–110

    Google Scholar 

  • Miles C (2001) NSW Murray Catchment biodiversity action plan. Nature Conservation Working Group, Murray Catchment, New South Wales, p 86

    Google Scholar 

  • Moisen GG, Frescino TS (2002) Comparing five modelling techniques for predicting forest characteristics. Ecological Modelling 157(2–3):209–225

    Article  Google Scholar 

  • Newell GR, White MD, Griffioen P, Conroy M (2006) Vegetation condition mapping at a landscape-scale across Victoria. Ecological Management and Restoration 7(S1):65–68

    Article  Google Scholar 

  • Newsome AE, Catling PC (1979) Habitat preferences of mammals inhabiting heathlands of warm temperate coastal, montaine and alpine regions of southeastern Australia. In: Specht RL (ed) Ecosystems of the World Volume 9A: Heathlands and related shrublands of the world. Elsevier, Amsterdam

    Google Scholar 

  • Oliver I, Jones H, Schmoldt DL (2007) Expert panel assessment of attributes for natural variability benchmarks for biodiversity. Austral Ecology 32(4):453–75

    Article  Google Scholar 

  • Overton J, Lehmann A (2003) Predicting vegetation condition and weed distributions for systematic conservation management: an application of GRASP in the central South Island. Science for Conservation (220), Department of Conservation, Wellington

    Google Scholar 

  • Parkes D, Newell G, Cheal D (2003) Assessing the quality of native vegetation: the ‘habitat hectares’ approach. Ecological Management and Restoration 7(S1):29–38

    Article  Google Scholar 

  • Pearce J, Ferrier S (2000) Evaluating the predictive performance of habitat models developed using logistic regression. Ecological Modelling 133(3):225–245

    Article  Google Scholar 

  • Perkins I (2002) Harrington Park stage 2 ecological assessment: final report. Ian Perkins Consultancy Services and Aquila Ecological Surveys, Sydney

    Google Scholar 

  • Pressey RL, Nicholls AO (1989) Efficiency in conservation evaluation: scoring versus iterative approaches. Biological Conservation 50:199–218

    Article  Google Scholar 

  • Scarth P, Phinn S, (2000) Determining forest structural attributes using an inverted geometric-optical model in mixed Eucalypt forests, southeast Queensland, Australia. Remote Sensing of the Environment 71:141–157

    Article  Google Scholar 

  • Tongway D, Hindley N (2004) Landscape function analysis: a system for monitoring rangeland function. African Journal of Range and Forage Science 21:109– 113

    Google Scholar 

  • USEPA (2007) Environmental Monitoring and Assessment Program. United States Environmental Protection Agency. Retrieved 11 September 2007, http://www.epa.gov/emap/

    Google Scholar 

  • Wallace J, Furby S (1994) Assessment of change in remnant vegetation area and condition. CSIRO Mathematical and Information Sciences and Agriculture Western Australia. Available at http://www.cmis.csiro.au/rsm/research/ remveg/vegassess_all.html.

    Google Scholar 

  • Wallace J, Behn G, Furby S (2006) Vegetation condition assessment and monitoring from sequences of satellite imagery. Ecological Management and Restoration 7(S1):31–36

    Article  Google Scholar 

  • Watson J, Freudenberger D, Paull D (2001) An assessment of the focal-species approach for conserving birds in variegated landscapes in southeastern Australia. Conservation Biology 15:1364–1373

    Article  Google Scholar 

  • White DA, Kimerling JA, Overton SW (1992) Cartographic and geometric components of a global sampling design for environmental monitoring. Cartography and Geographic Information Systems 19(1):5–22

    Article  Google Scholar 

  • Woodgate PW, Peel WD, Ritman KT, Coram JE, Brady A, Rule AJ, Banks JCG (1994) A study of the old-growth forests of East Gippsland. Department of Conservation and Natural Resources, Victoria

    Google Scholar 

  • Zerger A, Gibbons P, Jones S, Doyle S, Seddon J, Briggs SV, Freudenberger D (2006) Spatially modelling native vegetation condition. Ecological Management and Restoration 7(S1): 37–44

    Article  Google Scholar 

  • Zerger A, Warren G, Austin M, Gibbons P, Seddon J (2007) Implications of scale change on native vegetation condition mapping. In: Oxley L, Kulasiri D (eds) MODSIM 2007 International Congress of Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 10–13 December 2007, Canterbury, New Zealand. Available at http://www.mssanz.org.au/ MODSIM07/papers/21_s46/ImplicationsOfScale_s46_Zerger_.pdf

    Google Scholar 

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Zerger, A., Gibbons, P., Seddon, J., Warren, G., Austin, M., Ryan, P. (2008). Native Vegetation Condition: Site to Regional Assessments. In: Pettit, C., Cartwright, W., Bishop, I., Lowell, K., Pullar, D., Duncan, D. (eds) Landscape Analysis and Visualisation. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69168-6_8

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