Table 2. Judgments of forest practitioners on the degree to which various factors that contribute to enhancing the adaptive capacity of the forest sector and forest-based communities to climate change are present in the Champagne and Aishihik Traditional Territory. Results provide an indication of whether the factor is high or low in the region. Scale of 1 to 10 (0 = no contribution, 1 = low contribution, 10 = high contribution) or don’t know. Results shown are the average rank and standard deviation (s.d.) of participants who provided a ranking and number of participants who indicated that they don’ít know.


Factor Influencing Adaptive Capacity Average Rank (s.d.) Don’t Know
Current level of awareness and understanding of climate change impacts 5.7 (2.7) 1
Current level of awareness and understanding of options to adapt to climate change 4.5 (2.6) 0
Current level of diversity of the forest economy 4.2 (3.0) 1
Degree of substitutability of non-timber forest resources 4.8 (2.9) 7
Cumulative effects of resource developments and other forces of change 5.1 (2.6) 1
Availability of informed, skilled, and trained personnel 4.6 (2.6) 2
Availability of scientific knowledge on climate change 6.1 (1.7) 1
Availability of local and traditional knowledge on climate change 5.5 (2.3) 2
Current level of investment in training, education, capacity building, knowledge exchange, technology transfer 4.1 (3.0) 1
Current allocation of investments in research and innovation 4.2 (2.8) 3
Current level of dialog among various decision-making agencies and stakeholders on adaptation 5.6 (2.8) 0
Current level of flexibility in forest management policies and practices 5.4 (3.2) 0
Current level of consideration of adaptation-related issues in forest management and planning 5.3 (2.6) 0
Availability of financial resources to adapt to climate change 3.9 (3.1) 3