Spatially Explicit Assessment of Ecosystem Resilience: An Approach to Adapt to Climate Changes
Table 1
The assessment system and weights of specific indicators. and refer to the weights determined with the analytic hierarchy process (AHP) and coefficient of variation method (CV), respectively. The weights were calculated as the average of and .
Medium-level indicators
Bottom indicators
Weights
Stand conditions
Terrain
Slope position
0.0123
0.0386
0.0254
Slope
0.0088
0.0209
0.0148
Aspect
0.0257
0.0417
0.0337
Climate
Temperature
Annual average temperature
0.0138
0.0503
0.0320
Cumulative temperature above 10°C
0.0292
0.0543
0.0417
Precipitation
Annual precipitation
0.0356
0.0289
0.0322
Solar radiation
Annual sunshine hour
0.0102
0.0467
0.0284
Water condition
Distance to the nearest river
0.0194
0.0075
0.0134
Soil
Soil structure
Soil depth
0.0063
0.0177
0.0120
Humus depth
0.024
0.0168
0.0204
Loam quantity
0.0035
0.00001
0.0017
Soil fertility
Soil organic quantity
0.0045
0.0073
0.00591
Soil nitrogen quantity
0.0065
0.0016
0.00406
Soil phosphorus quantity
0.0036
0.00001
0.0018
Soil kalium quantity
0.0044
0.0016
0.00301
Human disturbance
Population density
0.0237
0.0273
0.0255
Ecological Memory
Internal memory
Biological legacies
Species number of dominant and subdominant trees
0.0459
0.0824
0.0641
Grass-shrub canopy
0.0145
0.0308
0.0226
Average stand age
0.0293
0.0106
0.0199
Average DBH growth rate
0.0206
0.0342
0.0274
Mature dominant tree density
0.0568
0.0487
0.0527
Vegetation canopy
0.0171
0.0257
0.0214
Structural legacies
Litter depth
0.0828
0.0384
0.0606
Patch area and shape
Patch area
0.2487
0.1001
0.1744
Perimeter area ratio
0.0749
0.0058
0.0403
External memory and factors influencing its availability
Density of mature dominant tree within neighbor patches of corresponding types
