A current perspective on Australian woody vegetation maps and implications for small remnant patches

Digital map products are routinely used by land managers and policy makers for environmental decision-making. This paper assesses the ability of such products to detect woody vegetation, particularly remnant patches which serve as critical landscape structures. Comparisons are made between two map products (NCAS and a SPOT-based classification) and a high spatial resolution reference dataset, across contrasting landscapes. Spatial analysis and statistical association tests are used to determine the ability of these map products to produce accurate measurements of woody vegetation. It is demonstrated that landscape structure is fundamental in determining the fitness-for-use and function of the digital map products.

[1]  Rasmus Fensholt,et al.  Remote Sensing , 2008, Encyclopedia of GIS.

[2]  F. Deppe,et al.  Forest Area Estimation Using Sample Surveys and Landsat MSS and TM Data , 1998 .

[3]  R. O'Neill,et al.  Scale problems in reporting landscape pattern at the regional scale , 1996, Landscape Ecology.

[4]  David Freudenberger,et al.  Ecosystem wicks: Woodland trees enhance water infiltration in a fragmented agricultural landscape in eastern Australia , 2005 .

[5]  F. R. Wylie,et al.  Dieback of rural trees in Australia , 1988 .

[6]  Martin Herold,et al.  Some challenges in global land cover mapping : An assessment of agreement and accuracy in existing 1 km datasets , 2008 .

[7]  C. Brack,et al.  Abundance and Decline of Isolated Trees in the Agricultural Landscapes of Central New South Wales, Australia , 2001 .

[8]  D. Lindenmayer,et al.  Lizard distribution patterns in the Tumut fragmentation “Natural Experiment” in south-eastern Australia , 2005 .

[9]  Roger White,et al.  Hierarchical fuzzy pattern matching for the regional comparison of land use maps , 2001, Int. J. Geogr. Inf. Sci..

[10]  Aaron Moody,et al.  The influence of scale and the spatial characteristics of landscapes on land-cover mapping using remote sensing , 1995, Landscape Ecology.

[11]  I. Oliver,et al.  Contribution of paddock trees to the conservation of terrestrial invertebrate biodiversity within grazed native pastures , 2006 .

[12]  P. Steerenberg,et al.  Targeting pathophysiological rhythms: prednisone chronotherapy shows sustained efficacy in rheumatoid arthritis. , 2010, Annals of the rheumatic diseases.

[13]  Clayton C. Kingdon,et al.  Spatial pattern analysis for monitoring protected areas , 2009 .

[14]  P. Gibbons,et al.  A discussion paper for consideration by the Riverina Highlands Regional Vegetation Committee , 2000 .

[15]  Brian Wilson,et al.  Influence of scattered paddock trees on surface soil properties: A study of the Northern Tablelands of NSW , 2002 .

[16]  Mike Hodder,et al.  A Landscape Approach to Determine the Ecological Value of Paddock Trees Summary Report Years 1 & 2 , 2004 .

[17]  C. Woodcock,et al.  Resolution dependent errors in remote sensing of cultivated areas , 2006 .

[18]  Alex M. Lechner,et al.  Remote sensing of small and linear features: Quantifying the effects of patch size and length, grid position and detectability on land cover mapping , 2009 .

[19]  D. Lindenmayer,et al.  Scattered trees are keystone structures – Implications for conservation , 2006 .

[20]  David B. Lindenmayer,et al.  The conservation value of paddock trees for birds in a variegated landscape in southern New South Wales. 2. Paddock trees as stepping stones , 2002, Biodiversity & Conservation.

[21]  David B. Lindenmayer,et al.  Making the matrix matter: challenges in Australian grazing landscapes , 2005, Biodiversity & Conservation.

[22]  P. Gibbons,et al.  The value of paddock trees for regional conservation in an agricultural landscape , 2002 .

[23]  M. Maron,et al.  Agricultural intensification and loss of matrix habitat over 23 years in the West Wimmera, south-eastern Australia , 2007 .

[24]  R. Hobbs,et al.  Tree decline in agricultural landscapes: what we stand to lose. , 2000 .

[25]  David Pullar,et al.  Mapping forest patches and scattered trees from SPOT images and testing their ecological importance for woodland birds in a fragmented agricultural landscape , 2009 .

[26]  Simon D. Jones,et al.  A study on the impact of scale-dependent factors on the classification of landcover maps , 2008 .