<|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:"Data management to enhance long-term watershed research capacity: context and STEWARDS case study."
Abstract:"Water resources are under pressure globally due to growing population, human migration into and regions, and diverse competing needs. In recent decades, progress in the study of information (informatics) and its manipulation via computer-based tools has stimulated development of data systems in many natural resources disciplines. Such informatics systems provide data storage, access, visualization, perhaps with analysis/modelling tools, and download capacity. Application of database technology can overcome problems of fragmentation, inadequate documentation, and cumbersome manipulation of complex data. Data management was a critical requirement for USDA's Conservation Effects Assessment project (CEAP) which was established to quantify environmental effects of agricultural conservation practices. Although USDA and the Agricultural Research Service (ARS) have conducted watershed research since early 20th century, the data have been managed and disseminated independently from each research location, reducing accessibility and utility of these data for policy-relevant, multi-site analyses. To address these concerns, STEWARDS (Sustaining the Earth's Watersheds-Agricultural Research Data System) was developed to compile, document, and provide access to data from loosely Coupled research watersheds. The STEWARDS case study is used to illustrate the role of data management in enhancing ecohydrological research and evolving information technologies available to improve data management from complex ecohydrologic studies. Published in 2009 by John Wiley & Sons, Ltd.."
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: 

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Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
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Q6 = [1].
Data management to enhance long-term watershed research capacity: context and STEWARDS case study
Water resources are under pressure globally due to growing population, human migration into and regions, and diverse competing needs. In recent decades, progress in the study of information (informatics) and its manipulation via computer-based tools has stimulated development of data systems in many natural resources disciplines. Such informatics systems provide data storage, access, visualization, perhaps with analysis/modelling tools, and download capacity. Application of database technology can overcome problems of fragmentation, inadequate documentation, and cumbersome manipulation of complex data. Data management was a critical requirement for USDA's Conservation Effects Assessment project (CEAP) which was established to quantify environmental effects of agricultural conservation practices. Although USDA and the Agricultural Research Service (ARS) have conducted watershed research since early 20th century, the data have been managed and disseminated independently from each research location, reducing accessibility and utility of these data for policy-relevant, multi-site analyses. To address these concerns, STEWARDS (Sustaining the Earth's Watersheds-Agricultural Research Data System) was developed to compile, document, and provide access to data from loosely Coupled research watersheds. The STEWARDS case study is used to illustrate the role of data management in enhancing ecohydrological research and evolving information technologies available to improve data management from complex ecohydrologic studies. Published in 2009 by John Wiley & Sons, Ltd.