<|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:"Monsoon Precipitation, Economy and Wars in Ancient China."
Abstract:"Northern China, particularly the Yellow River Basin, which is the birth place of Chinese civilization and has been the political center throughout most of China's history, is an ideal region for studying the response of human activities to climate change. However, studies on links between climate change and variations in earlier civilization are limited due to the scarcity of macroscale monsoon precipitation records. In the present study, a similar to 4,000-year record of monsoon precipitation, which represents average rainfall in large areas in northern China, was reconstructed from sediments in Northern Yellow Sea Mud (NYSM). The record shows high monsoon precipitation during similar to 4,000-2,500 BP, similar to 1,350-750 BP and the past similar to 250 years. In general, our record of monsoon precipitation exhibits trends similar to the percentages of planted Poaceae pollen in lake sediments and the Chinese economic index, contrasting with the frequency of wars over the past 2,000 years. We postulated that, in the agricultural society of ancient China, low monsoon precipitation in northern China may be an important factor that cause reduced agricultural production, declined economy and even the occurrence of wars.."
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 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [1].
Monsoon Precipitation, Economy and Wars in Ancient China
Northern China, particularly the Yellow River Basin, which is the birth place of Chinese civilization and has been the political center throughout most of China's history, is an ideal region for studying the response of human activities to climate change. However, studies on links between climate change and variations in earlier civilization are limited due to the scarcity of macroscale monsoon precipitation records. In the present study, a similar to 4,000-year record of monsoon precipitation, which represents average rainfall in large areas in northern China, was reconstructed from sediments in Northern Yellow Sea Mud (NYSM). The record shows high monsoon precipitation during similar to 4,000-2,500 BP, similar to 1,350-750 BP and the past similar to 250 years. In general, our record of monsoon precipitation exhibits trends similar to the percentages of planted Poaceae pollen in lake sediments and the Chinese economic index, contrasting with the frequency of wars over the past 2,000 years. We postulated that, in the agricultural society of ancient China, low monsoon precipitation in northern China may be an important factor that cause reduced agricultural production, declined economy and even the occurrence of wars.