Monitoring of Habitat Quality in Fruit Orchards a promising Example for the Application of Remote Sensing and GIS

Transcription

1 Monitoring of Habitat Quality in Fruit Orchards a promising Example for the Application of Remote Sensing and GIS Roland Achtziger, Cici Alexander, Ursula Nigmann, Oliver Wiche TU Bergakademie Freiberg Biology & Ecology Unit Remote Sensing and GIS for Monitoring of Habitat Quality TU WIEN September 25, 2014

2 Monitoring of habitat quality in orchards Traditional fruit orchards Fruit trees with a trunk height > 1.5 m scattered on meadows or pastures (arable fields) 2

3 Monitoring of habitat quality in orchards Traditional fruit orchards orchard can parcels differ in size, number of trees, fruit species composition, management intensity heterogeneous landscape 3

4 Monitoring of habitat quality in orchards Traditional fruit orchards hotspots of biodiversity unique combination of tree layer + herb/grass layer + low management intensity habitats of high biodiversity and conservation value 4

5 Monitoring of habitat quality in orchards Traditional fruit orchards under threat Decline due to Habitat destruction (e.g., replacement by settlements, other land use types such as viticulture) Intensification / replacement by commercial plantations Abandonment of traditional management (unprofitable) 5

6 Monitoring of habitat quality in orchards > Assessment of HQ for nature conservation Habitat quality of fruit orchards amount of specific structures (micro-habitats) and structural diversity on the tree, orchard, landscape level 6

7 Monitoring of habitat quality in orchards Identification of relevant structural indicators for the assessment of habitat quality: studies Indicator groups: birds, insects of canopy, bark, deadwood 7

8 Monitoring of habitat quality in orchards Identification of relevant structural indicators for the assessment of habitat quality: studies Indicator groups: birds, insects of canopy, bark, deadwood Structural parameters on the tree, orchard, landscape levels 8

9 Structural indicators for habitat quality Tree Size: height, diameter at breast height (DBH), crown diameter, height of crown base etc. Species Age and vitality class, foliage density 9

10 Structural indicators for habitat quality Tree Size: height, diameter at breast height (DBH), crown diameter, height of crown base etc. Species Age and vitality class, foliage density Number of tree caves Amount of deadwood Amount of epiphytes (lichens, mosses) Amount of micro-structures (fungi, small holes with duff, bark structures) 10

11 Structural indicators for habitat quality deadwood fungi, duff epiphytes foliage density Tree Tree arthropods Species number xylobiotic beetles bark fauna crown fauna DBH / size 11 Nigmann et al. (2005, unpubl.)

12 Structural indicators for habitat quality Orchard Total number of trees, size Number of trees with caves, total number of caves Density of trees Number tree species Number, proportion and variability of tree vitality and age classes Additional structures: lying deadwood, stacks of brushwood, ant hills etc. 12

13 Structural indicators for habitat quality Orchard # trees # trees with caves # caves management intensity cutting Number of bird species deadwood Size / area tree height variability Nigmann et al. (2005, unpubl.) 13

14 Structural indicators for habitat quality Landscape Isolation of orchards Isolation of newly planted orchards Type of adjacent habitats 14

15 Potential Applications of Remote Sensing and GIS Support from the sky? Habitat assessment schemes based on structures Assessment in the field > time consuming > applicable only for a low number of orchards / regions 15

16 Potential Applications of Remote Sensing and GIS Help from the sky? Remote sensing techniques - LiDAR (L) - Multispectral imagery (M) - Hyperspectral imagery (H) + GIS 16

17 Potential Applications of Remote Sensing and GIS Orchards as promising examples spatially separated trees ( forests) specific spatial structure of orchards applications of RS in commercial fruit orchards/ plantations Support of habitat quality assessment in orchards 17

18 Potential Applications of Remote Sensing and GIS Tree Structural indicator L M/H G Size parameters (height, crown diameter, height of crown base, trunk circumference) Age and vitality class Foliage density Amount of dead wood Number of tree caves * Amount of epiphytes, micro-structures * 18

19 Potential Applications of Remote Sensing and GIS Orchards Structural indicator L M/H G Total number of trees Density of trees Number and proportion of different fruit tree species Number, proportion and variability of tree vitality classes (proportion of dead vs. young trees) Spatial distribution of trees (aggregated vs. regularly) Average distance between trees 19

20 Potential Applications of Remote Sensing and GIS Landscape Structural indicator L M/H G Number / proportion of neighboring orchards vs. other habitat types Proportion of orchards Proportion of abandoned orchards vs. newly planted Amount of fragmentation, connectivity Other landscape metrics 20

21 Potential Applications of Remote Sensing and GIS Conclusions RS and GIS could support the assessment and monitoring of orchard habitat quality cover larger areas orchard and landscape level TU Bergakademie Freiberg Institute for Biosciences Biology and Ecology Unit Dr. Roland Achtziger RSGIS4HQ

22 Potential Applications of Remote Sensing and GIS Conclusions RS and GIS could support the assessment and monitoring of orchard habitat quality cover larger areas orchard and landscape level Orchards are ideal habitats for testing the potential of ULS mounted on UAVs micro-structures herb layer additional structures TU Bergakademie Freiberg Institute for Biosciences Biology and Ecology Unit Dr. Roland Achtziger RSGIS4HQ

23 Potential Applications of Remote Sensing and GIS Examples for Application of RS in fruit plantations Fieber Karolina D. Fieber K D, Davenport I J, Ferryman J M, Gurney R J, Walker J P, Hacker J M, 2013, Analysis of full-waveform LiDAR data for classification of an orange orchard scene. ISPRS Journal of Photogrammetry and Remote Sensing, 82: Jang J-D, Payan V, Viau AA, Devost A, 2008, The use of airborne lidar for orchard tree inventory. International Journal of Remote Sensing, 29(6): Mathews A J, Jensen J L R, 2012, An airborne LiDAR-based methodology for vineyard parcel detection and delineation. International Journal of Remote Sensing, 33:16, Panda S S, Hoogenboom G, Paz J O, 2010, Remote Sensing and Geospatial Technological Applications for Site-specific Management of Fruit and Nut Crops: A Review. Remote Sensing, 2: Viau A A, Jang J-D, Payan V, Devost A, 2005, The Use of Airborne LIDAR and Multispectral Sensors for Orchard Trees Inventory and Characterization. Information and Technology for Sustainable Fruit and Vegetable Production - FRUTIC 05, September 2005, Montpellier France, Warner T A, Steinmaus K, 2005, Spatial Classification of Orchards and Vineyards with High Spatial Resolution Panchromatic Imagery. Photogrammetric Engineering & Remote Sensing, 71(2):