<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Valuing the chances of survival of two distinct Eurasian lynx populations in Poland - Do people want to keep the doors open?."
Abstract:"This study investigates individuals' preferences toward protection programs aimed at increasing the chances of survival of the two distinct Eurasian lynx populations in Poland. Those two groups, the Lowland and the Carpathian population, are exposed to different risks of extinction as they have different numbers, different-sized areas of occupation and different migration possibilities. Using a discrete choice experiment we examine the influence of the initial degree of endangerment on the allocation of respondents' funds. The results show that people prefer to invest in the conservation of the lynx population, which has initially lower chances of survival. The main driver of respondents' choices seems to be loss aversion rather than the urge to invest in an option with an expected higher outcome. This observation can be interpreted as people trying to keep all the options doors open by devoting more funds to the more vulnerable population than to the more stable one. Employing a scale-extended latent class model allowed us to detect segments among individuals showing different types of response behavior, including a form of serial non-participation. (C) 2013 Elsevier Ltd. All rights reserved.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.

Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.

Q4: What type of climate or environmental keywords are explicitly mentioned?:  0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.

Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.

Use the following template: 

Q1 = [];
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Q4 = [];
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Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
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Q5 = [1];
Q6 = [1].
Valuing the chances of survival of two distinct Eurasian lynx populations in Poland - Do people want to keep the doors open?
This study investigates individuals' preferences toward protection programs aimed at increasing the chances of survival of the two distinct Eurasian lynx populations in Poland. Those two groups, the Lowland and the Carpathian population, are exposed to different risks of extinction as they have different numbers, different-sized areas of occupation and different migration possibilities. Using a discrete choice experiment we examine the influence of the initial degree of endangerment on the allocation of respondents' funds. The results show that people prefer to invest in the conservation of the lynx population, which has initially lower chances of survival. The main driver of respondents' choices seems to be loss aversion rather than the urge to invest in an option with an expected higher outcome. This observation can be interpreted as people trying to keep all the options doors open by devoting more funds to the more vulnerable population than to the more stable one. Employing a scale-extended latent class model allowed us to detect segments among individuals showing different types of response behavior, including a form of serial non-participation. (C) 2013 Elsevier Ltd. All rights reserved.