the scale-independent ecological indicator of migratory...
TRANSCRIPT
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The scale-independent ecological indicator of migratory birds in Poyang Lake wetland,
China • Zhao Hongmei, Chen Xiaoling, Xu Bing • Key Laboratory of Wetland and Watershed Research, Ministry
of Education, Jiangxi Normal University
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• Study area and data • Down and upscale of landscaple variables • Analysis of dominant ecological variables in
multi-scales • Scale independent ecological indicator of
migratory birds • Results and Conclusion
Outline
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Study area
• Five tributaries • Seven subzones • More than 40
sublakes
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• Annual aerial survey data of migratory birds around Poyang Lake from 2001 to 2009 are used in this study . – It takes three days to fly across most of the sub-lakes. Three airlines are
exhibited in this survey (WU et al. 2010). The flight altitude is 80-200m, and the flight velocity is 120-180km/h. The population and types of migratory birds are determined by the manual record with the help of GPS, television camera and long-zoom camera (WU et al. 2010).
Data
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• Water area of Poyang Lake, 620 cloud free MODIS data granules were selected from February 2000 and December 2010.
• MODLT1T, ten days composition MODIS land surface temperature data (MODLT1T) from 2000 to 2010
Remote Sensing DATA
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Correlation between water area variation and migratory birds’ population
Remote Sensing DATA
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Remote Sensing DATA
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20000127 20030220 20060127
Landscape analysis of migrants’ habitat
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• 79 Landscape variables in landscape level and 81 landscape variables in class level are derived from land use/cover scenes
• Downscale landscape variables by Principal component analysis
Down and upscaled of landscaple variables
DVs
Initial Eigenvalue Extraction Sums of Squared Loadings
Total % of Variance Cumulative % Total % of Variance Cumulative % 1 23.538 32.691 32.691 23.538 32.691 32.691
2 17.078 23.720 56.411 17.078 23.720 56.411
3 9.324 12.950 69.361 9.324 12.950 69.361
4 8.707 12.092 81.454 8.707 12.092 81.454
5 4.470 6.208 87.662 4.470 6.208 87.662
6 2.261 3.141 90.803 2.261 3.141 90.803
7 1.612 2.239 93.042 1.612 2.239 93.042
8 1.097 1.524 94.565 1.097 1.524 94.565
Table 2 Total Variance Explained for Downscaled Variables (DVs)
Downscaled of landscape variables
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Upscaled by correlation analysis
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UDV1 Rvd UDV2 Rvd UDV3 Rvd UDV4 Rvd UDV5 Rvd
ED -.822 SIEI .751 AREA_AM .761 SHDI .512 CAI_MN -.673
NP -.649 LSI .506 CORE_CV .561 FRAC_SD .720 CAI_SD .750
CORE_CV -.604 DCAD .672 DCORE_CV .756 PAFRAC -.719
PD -.919 CIRCLE_RA .569 TCA .572 CAI_RA -.525
CAI_AM .702 FRAC_MN .655
AREA_MN .916 DCORE_SD -.615
FRAC_MN .723 DCORE_MN -.636
PARA_MN -.674
CIRCLE_CV -.555
upscale of landscaple variables
Table 3 Upscaled variables of DVs (UDVs) and Correlations between DVs and UDVs
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• If the absolute value of the correlation coefficient is larger than 0.67 (r2>4/n, n=9), the downscaled variables have significant correlation with the population of migratory birds (Cowles and Davis, 1982).
Analysis of dominant landscape variables in landscape and sub-zone level
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Analysis of dominant landscape variables in class level
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• Dominant variables of migratory birds’ population in subzone and class level
Analysis of dominant landscape variables
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Analysis of dominant ecological variables in landscape and sub-zone level
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Corr
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Correlation Coefficient between LST and Population of migratory birds
RRZ NCZ GRZ XRZ FRZ InZ
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Analysis of dominant ecological variables in landscape and sub-zone level
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Analysis of dominant ecological variables in class level
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Corr
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Correlation Coefficient between LST and Population of migratory birds in wetland
RRZ NCZ GRZ XRZ FRZ InZ
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Analysis of dominant ecological variables in class level
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Correlation Coefficient between LST and Population of migratory birds in cropland and forest
RRZ NCZ GRZ XRZ FRZ InZ
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• Dominant variables of population of migratory birds in subzone and class level
Analysis of dominant ecological variables
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Scale independent ecological indicator of migratory birds in landscape level
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Scale independent ecological indicator of migratory birds in subzone levels
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Result
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DV1 DV2 DV3 DV4 DV5 DV6 DV7 DV8 Lz
Correlation coefficient in landscape level
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InZ GRZ XRZ RRZ NCZ
Correlation coefficient comparison between Ls and DVmax in subzone level
Ls
DVs
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• Dominant ecological variables are different for subzones: – Cropland is the dominant class in InZ and GRZ. Forest, cropland and grassland
are the dominant classes in XRZ Water, river beach and forest are the
dominant classes in RRZ .LST is the dominant variables in NCZ
• The scale-independent ecological indicator are benefit for the analysis and prediction of the migratory birds’ population
Conclusion
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• Thanks for your attention!