Global Agricultural Land Resources – A High Resolution Suitability Evaluation and Its Perspectives until 2100 under Climate Change Conditions
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{"title"=>"Global agricultural land resources - A high resolution suitability evaluation and its perspectives until 2100 under climate change conditions", "type"=>"generic", "authors"=>[{"first_name"=>"Florian", "last_name"=>"Zabel", "scopus_author_id"=>"55575458400"}, {"first_name"=>"Birgitta", "last_name"=>"Putzenlechner", "scopus_author_id"=>"55575385400"}, {"first_name"=>"Wolfram", "last_name"=>"Mauser", "scopus_author_id"=>"7003713139"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "arxiv"=>"arXiv:1011.1669v3", "scopus"=>"2-s2.0-84907203372", "sgr"=>"84907203372", "pui"=>"600046203", "isbn"=>"1932-6203", "pmid"=>"25229634", "doi"=>"10.1371/journal.pone.0107522"}, "id"=>"a6bcab65-6bdb-3d34-a124-99419fa641a3", "abstract"=>"Changing natural conditions determine the land's suitability for agriculture. The growing demand for food, feed, fiber and bioenergy increases pressure on land and causes trade-offs between different uses of land and ecosystem services. Accordingly, an inventory is required on the changing potentially suitable areas for agriculture under changing climate conditions. We applied a fuzzy logic approach to compute global agricultural suitability to grow the 16 most important food and energy crops according to the climatic, soil and topographic conditions at a spatial resolution of 30 arc seconds. We present our results for current climate conditions (1981-2010), considering today's irrigated areas and separately investigate the suitability of densely forested as well as protected areas, in order to investigate their potentials for agriculture. The impact of climate change under SRES A1B conditions, as simulated by the global climate model ECHAM5, on agricultural suitability is shown by comparing the time-period 2071-2100 with 1981-2010. Our results show that climate change will expand suitable cropland by additionally 5.6 million km2, particularly in the Northern high latitudes (mainly in Canada, China and Russia). Most sensitive regions with decreasing suitability are found in the Global South, mainly in tropical regions, where also the suitability for multiple cropping decreases.", "link"=>"http://www.mendeley.com/research/global-agricultural-land-resources-high-resolution-suitability-evaluation-perspectives-until-2100-un-2", "reader_count"=>183, "reader_count_by_academic_status"=>{"Unspecified"=>9, "Professor > Associate Professor"=>7, "Librarian"=>2, "Researcher"=>52, "Student > Doctoral Student"=>9, "Student > Ph. D. Student"=>32, "Student > Postgraduate"=>6, "Student > Master"=>31, "Other"=>13, "Student > Bachelor"=>10, "Lecturer"=>3, "Lecturer > Senior Lecturer"=>3, "Professor"=>6}, "reader_count_by_user_role"=>{"Unspecified"=>9, "Professor > Associate Professor"=>7, "Librarian"=>2, "Researcher"=>52, "Student > Doctoral Student"=>9, "Student > Ph. D. Student"=>32, "Student > Postgraduate"=>6, "Student > Master"=>31, "Other"=>13, "Student > Bachelor"=>10, "Lecturer"=>3, "Lecturer > Senior Lecturer"=>3, "Professor"=>6}, "reader_count_by_subject_area"=>{"Unspecified"=>20, "Agricultural and Biological Sciences"=>53, "Philosophy"=>1, "Business, Management and Accounting"=>1, "Chemical Engineering"=>1, "Chemistry"=>4, "Computer Science"=>1, "Earth and Planetary Sciences"=>15, "Economics, Econometrics and Finance"=>8, "Engineering"=>3, "Environmental Science"=>64, "Biochemistry, Genetics and Molecular Biology"=>1, "Medicine and Dentistry"=>1, "Physics and Astronomy"=>1, "Social Sciences"=>9}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>1}, "Social Sciences"=>{"Social Sciences"=>9}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Unspecified"=>{"Unspecified"=>20}, "Environmental Science"=>{"Environmental Science"=>64}, "Chemical Engineering"=>{"Chemical Engineering"=>1}, "Engineering"=>{"Engineering"=>3}, "Chemistry"=>{"Chemistry"=>4}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>15}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>8}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>53}, "Computer Science"=>{"Computer Science"=>1}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Philosophy"=>{"Philosophy"=>1}}, "reader_count_by_country"=>{"French Guiana"=>1, "United States"=>3, "United Kingdom"=>1, "Madagascar"=>1, "Portugal"=>1, "India"=>1, "Costa Rica"=>1, "Netherlands"=>1, "Belgium"=>1, "Brazil"=>2, "Mexico"=>1, "Italy"=>1, "Germany"=>3, "Nepal"=>1}, "group_count"=>13}

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Figshare

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  • {"files"=>["https://ndownloader.figshare.com/files/1680027"], "description"=>"<p>Regional change in agricultural suitability categories (million km<sup>2</sup>) between 1981–2010 and 2071–2100.</p>", "links"=>[], "tags"=>["Climate Change Conditions", "High Resolution Suitability Evaluation", "climate change", "1b", "sres", "agriculture", "bioenergy increases pressure", "30 arc seconds", "suitability", "ECHAM"], "article_id"=>1173019, "categories"=>["Biological Sciences", "Science Policy", "Ecology"], "users"=>["Florian Zabel", "Birgitta Putzenlechner", "Wolfram Mauser"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0107522.g008", "stats"=>{"downloads"=>2, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Regional_change_in_agricultural_suitability_categories_million_km_2_between_1981_8211_2010_and_2071_8211_2100_/1173019", "title"=>"Regional change in agricultural suitability categories (million km<sup>2</sup>) between 1981–2010 and 2071–2100.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-09-17 03:16:15"}
  • {"files"=>["https://ndownloader.figshare.com/files/1680012"], "description"=>"<p>Map of the 23 world regions: AFR (Sub Saharan Africa), ANZ (Australia, New Zealand), BEN (Belgium, Netherlands, Luxemburg), BRA (Brazil), CAN (Canada), CHN (China), FRA (France), FSU (Rest of Former Soviet Union and Rest of Europe), GBR (Great Britain), GER (Germany), IND (India), JPN (Japan), LAM (Rest of Latin America), MAI (Malaysia, Indonesia), MEA (Middle East, North Africa), MED (Italy, Spain, Portugal, Greece, Malta, Cyprus), PAC (Paraguay, Argentina, Chile, Uruguay), ROW (Rest of the World), REU (Austria, Estonia, Latvia, Lithuania, Poland, Hungary, Slovakia, Slovenia, Czech Republic, Romania, Bulgaria), RUS (Russia), SCA (Finland, Denmark, Sweden), SEA (Cambodia, Laos, Thailand, Vietnam, Myanmar, Bangladesh), USA (United States of America).</p>", "links"=>[], "tags"=>["Climate Change Conditions", "High Resolution Suitability Evaluation", "climate change", "1b", "sres", "agriculture", "bioenergy increases pressure", "30 arc seconds", "suitability", "ECHAM"], "article_id"=>1173004, "categories"=>["Biological Sciences", "Science Policy", "Ecology"], "users"=>["Florian Zabel", "Birgitta Putzenlechner", "Wolfram Mauser"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0107522.g001", "stats"=>{"downloads"=>2, "page_views"=>69, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Map_of_the_23_world_regions_AFR_Sub_Saharan_Africa_ANZ_Australia_New_Zealand_BEN_Belgium_Netherlands_Luxemburg_BRA_Brazil_CAN_Canada_CHN_China_FRA_France_FSU_Rest_of_Former_Soviet_Union_and_Rest_of_Europe_GBR_Great_Britain_GER_Germany_IND_India_JPN_Japan/1173004", "title"=>"Map of the 23 world regions: AFR (Sub Saharan Africa), ANZ (Australia, New Zealand), BEN (Belgium, Netherlands, Luxemburg), BRA (Brazil), CAN (Canada), CHN (China), FRA (France), FSU (Rest of Former Soviet Union and Rest of Europe), GBR (Great Britain), GER (Germany), IND (India), JPN (Japan), LAM (Rest of Latin America), MAI (Malaysia, Indonesia), MEA (Middle East, North Africa), MED (Italy, Spain, Portugal, Greece, Malta, Cyprus), PAC (Paraguay, Argentina, Chile, Uruguay), ROW (Rest of the World), REU (Austria, Estonia, Latvia, Lithuania, Poland, Hungary, Slovakia, Slovenia, Czech Republic, Romania, Bulgaria), RUS (Russia), SCA (Finland, Denmark, Sweden), SEA (Cambodia, Laos, Thailand, Vietnam, Myanmar, Bangladesh), USA (United States of America).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-09-17 03:16:15"}
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Relative Metric

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Net::HTTPBadRequest

Source
Article Coverage Curated
Time
2019-08-29 16:33:46 UTC
Target URL
http://mediacuration-102.soma.plos.org/api/v1?doi=10.1371%2Fjournal.pone.0107522
Trace

/app/models/concerns/networkable.rb:21:in `get_result'
/app/models/source.rb:165:in `get_data'
/app/models/retrieval_status.rb:47:in `perform_get_data'
/app/jobs/source_job.rb:52:in `block (2 levels) in perform'
/app/jobs/source_job.rb:51:in `block in perform'
/app/jobs/source_job.rb:35:in `each'
/app/jobs/source_job.rb:35:in `perform'