GIS-Based Multi-Criteria Analysis for Arabica Coffee Expansion in Rwanda
The Government of Rwanda is implementing policies to increase the area of Arabica coffee production. Information on the suitable areas for sustainably growing Arabica coffee is still scarce. This study aimed to analyze suitable areas for Arabica coffee production. We analyzed the spatial distributio...
Saved in:
Published in | PloS one Vol. 9; no. 10; p. e107449 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
United States
Public Library of Science
09.10.2014
Public Library of Science (PLoS) |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | The Government of Rwanda is implementing policies to increase the area of Arabica coffee production. Information on the suitable areas for sustainably growing Arabica coffee is still scarce. This study aimed to analyze suitable areas for Arabica coffee production. We analyzed the spatial distribution of actual and potential production zones for Arabica coffee, their productivity levels and predicted potential yields. We used a geographic information system (GIS) for a weighted overlay analysis to assess the major production zones of Arabica coffee and their qualitative productivity indices. Actual coffee yields were measured in the field and were used to assess potential productivity zones and yields using ordinary kriging with ArcGIS software. The production of coffee covers about 32 000 ha, or 2.3% of all cultivated land in the country. The major zones of production are the Kivu Lake Borders, Central Plateau, Eastern Plateau, and Mayaga agro-ecological zones, where coffee is mainly cultivated on moderate slopes. In the highlands, coffee is grown on steep slopes that can exceed 55%. About 21% percent of the country has a moderate yield potential, ranging between 1.0 and 1.6 t coffee ha-1, and 70% has a low yield potential (<1.0 t coffee ha-1). Only 9% of the country has a high yield potential of 1.6-2.4 t coffee ha-1. Those areas are found near Lake Kivu where the dominant soil Orders are Inceptisols and Ultisols. Moderate yield potential is found in the Birunga (volcano), Congo-Nile watershed Divide, Impala and Imbo zones. Low-yield regions (<1 t ha-1) occur in the eastern semi-dry lowlands, Central Plateau, Eastern Plateau, Buberuka Highlands, and Mayaga zones. The weighted overlay analysis and ordinary kriging indicated a large spatial variability of potential productivity indices. Increasing the area and productivity of coffee in Rwanda thus has considerable potential. |
---|---|
AbstractList | The Government of Rwanda is implementing policies to increase the area of Arabica coffee production. Information on the suitable areas for sustainably growing Arabica coffee is still scarce. This study aimed to analyze suitable areas for Arabica coffee production. We analyzed the spatial distribution of actual and potential production zones for Arabica coffee, their productivity levels and predicted potential yields. We used a geographic information system (GIS) for a weighted overlay analysis to assess the major production zones of Arabica coffee and their qualitative productivity indices. Actual coffee yields were measured in the field and were used to assess potential productivity zones and yields using ordinary kriging with ArcGIS software. The production of coffee covers about 32 000 ha, or 2.3% of all cultivated land in the country. The major zones of production are the Kivu Lake Borders, Central Plateau, Eastern Plateau, and Mayaga agro-ecological zones, where coffee is mainly cultivated on moderate slopes. In the highlands, coffee is grown on steep slopes that can exceed 55%. About 21% percent of the country has a moderate yield potential, ranging between 1.0 and 1.6 t coffee ha−1, and 70% has a low yield potential (<1.0 t coffee ha−1). Only 9% of the country has a high yield potential of 1.6–2.4 t coffee ha−1. Those areas are found near Lake Kivu where the dominant soil Orders are Inceptisols and Ultisols. Moderate yield potential is found in the Birunga (volcano), Congo-Nile watershed Divide, Impala and Imbo zones. Low-yield regions (<1 t ha−1) occur in the eastern semi-dry lowlands, Central Plateau, Eastern Plateau, Buberuka Highlands, and Mayaga zones. The weighted overlay analysis and ordinary kriging indicated a large spatial variability of potential productivity indices. Increasing the area and productivity of coffee in Rwanda thus has considerable potential. The Government of Rwanda is implementing policies to increase the area of Arabica coffee production. Information on the suitable areas for sustainably growing Arabica coffee is still scarce. This study aimed to analyze suitable areas for Arabica coffee production. We analyzed the spatial distribution of actual and potential production zones for Arabica coffee, their productivity levels and predicted potential yields. We used a geographic information system (GIS) for a weighted overlay analysis to assess the major production zones of Arabica coffee and their qualitative productivity indices. Actual coffee yields were measured in the field and were used to assess potential productivity zones and yields using ordinary kriging with ArcGIS software. The production of coffee covers about 32 000 ha, or 2.3% of all cultivated land in the country. The major zones of production are the Kivu Lake Borders, Central Plateau, Eastern Plateau, and Mayaga agro-ecological zones, where coffee is mainly cultivated on moderate slopes. In the highlands, coffee is grown on steep slopes that can exceed 55%. About 21% percent of the country has a moderate yield potential, ranging between 1.0 and 1.6 t coffee ha-1, and 70% has a low yield potential (<1.0 t coffee ha-1). Only 9% of the country has a high yield potential of 1.6-2.4 t coffee ha-1. Those areas are found near Lake Kivu where the dominant soil Orders are Inceptisols and Ultisols. Moderate yield potential is found in the Birunga (volcano), Congo-Nile watershed Divide, Impala and Imbo zones. Low-yield regions (<1 t ha-1) occur in the eastern semi-dry lowlands, Central Plateau, Eastern Plateau, Buberuka Highlands, and Mayaga zones. The weighted overlay analysis and ordinary kriging indicated a large spatial variability of potential productivity indices. Increasing the area and productivity of coffee in Rwanda thus has considerable potential.The Government of Rwanda is implementing policies to increase the area of Arabica coffee production. Information on the suitable areas for sustainably growing Arabica coffee is still scarce. This study aimed to analyze suitable areas for Arabica coffee production. We analyzed the spatial distribution of actual and potential production zones for Arabica coffee, their productivity levels and predicted potential yields. We used a geographic information system (GIS) for a weighted overlay analysis to assess the major production zones of Arabica coffee and their qualitative productivity indices. Actual coffee yields were measured in the field and were used to assess potential productivity zones and yields using ordinary kriging with ArcGIS software. The production of coffee covers about 32 000 ha, or 2.3% of all cultivated land in the country. The major zones of production are the Kivu Lake Borders, Central Plateau, Eastern Plateau, and Mayaga agro-ecological zones, where coffee is mainly cultivated on moderate slopes. In the highlands, coffee is grown on steep slopes that can exceed 55%. About 21% percent of the country has a moderate yield potential, ranging between 1.0 and 1.6 t coffee ha-1, and 70% has a low yield potential (<1.0 t coffee ha-1). Only 9% of the country has a high yield potential of 1.6-2.4 t coffee ha-1. Those areas are found near Lake Kivu where the dominant soil Orders are Inceptisols and Ultisols. Moderate yield potential is found in the Birunga (volcano), Congo-Nile watershed Divide, Impala and Imbo zones. Low-yield regions (<1 t ha-1) occur in the eastern semi-dry lowlands, Central Plateau, Eastern Plateau, Buberuka Highlands, and Mayaga zones. The weighted overlay analysis and ordinary kriging indicated a large spatial variability of potential productivity indices. Increasing the area and productivity of coffee in Rwanda thus has considerable potential. The Government of Rwanda is implementing policies to increase the area of Arabica coffee production. Information on the suitable areas for sustainably growing Arabica coffee is still scarce. This study aimed to analyze suitable areas for Arabica coffee production. We analyzed the spatial distribution of actual and potential production zones for Arabica coffee, their productivity levels and predicted potential yields. We used a geographic information system (GIS) for a weighted overlay analysis to assess the major production zones of Arabica coffee and their qualitative productivity indices. Actual coffee yields were measured in the field and were used to assess potential productivity zones and yields using ordinary kriging with ArcGIS software. The production of coffee covers about 32 000 ha, or 2.3% of all cultivated land in the country. The major zones of production are the Kivu Lake Borders, Central Plateau, Eastern Plateau, and Mayaga agro-ecological zones, where coffee is mainly cultivated on moderate slopes. In the highlands, coffee is grown on steep slopes that can exceed 55%. About 21% percent of the country has a moderate yield potential, ranging between 1.0 and 1.6 t coffee ha-1, and 70% has a low yield potential (<1.0 t coffee ha-1). Only 9% of the country has a high yield potential of 1.6-2.4 t coffee ha-1. Those areas are found near Lake Kivu where the dominant soil Orders are Inceptisols and Ultisols. Moderate yield potential is found in the Birunga (volcano), Congo-Nile watershed Divide, Impala and Imbo zones. Low-yield regions (<1 t ha-1) occur in the eastern semi-dry lowlands, Central Plateau, Eastern Plateau, Buberuka Highlands, and Mayaga zones. The weighted overlay analysis and ordinary kriging indicated a large spatial variability of potential productivity indices. Increasing the area and productivity of coffee in Rwanda thus has considerable potential. The Government of Rwanda is implementing policies to increase the area of Arabica coffee production. Information on the suitable areas for sustainably growing Arabica coffee is still scarce. This study aimed to analyze suitable areas for Arabica coffee production. We analyzed the spatial distribution of actual and potential production zones for Arabica coffee, their productivity levels and predicted potential yields. We used a geographic information system (GIS) for a weighted overlay analysis to assess the major production zones of Arabica coffee and their qualitative productivity indices. Actual coffee yields were measured in the field and were used to assess potential productivity zones and yields using ordinary kriging with ArcGIS software. The production of coffee covers about 32 000 ha, or 2.3% of all cultivated land in the country. The major zones of production are the Kivu Lake Borders, Central Plateau, Eastern Plateau, and Mayaga agro-ecological zones, where coffee is mainly cultivated on moderate slopes. In the highlands, coffee is grown on steep slopes that can exceed 55%. About 21% percent of the country has a moderate yield potential, ranging between 1.0 and 1.6 t coffee ha −1 , and 70% has a low yield potential (<1.0 t coffee ha −1 ). Only 9% of the country has a high yield potential of 1.6–2.4 t coffee ha −1 . Those areas are found near Lake Kivu where the dominant soil Orders are Inceptisols and Ultisols. Moderate yield potential is found in the Birunga (volcano), Congo-Nile watershed Divide, Impala and Imbo zones. Low-yield regions (<1 t ha −1 ) occur in the eastern semi-dry lowlands, Central Plateau, Eastern Plateau, Buberuka Highlands, and Mayaga zones. The weighted overlay analysis and ordinary kriging indicated a large spatial variability of potential productivity indices. Increasing the area and productivity of coffee in Rwanda thus has considerable potential. The Government of Rwanda is implementing policies to increase the area of Arabica coffee production. Information on the suitable areas for sustainably growing Arabica coffee is still scarce. This study aimed to analyze suitable areas for Arabica coffee production. We analyzed the spatial distribution of actual and potential production zones for Arabica coffee, their productivity levels and predicted potential yields. We used a geographic information system (GIS) for a weighted overlay analysis to assess the major production zones of Arabica coffee and their qualitative productivity indices. Actual coffee yields were measured in the field and were used to assess potential productivity zones and yields using ordinary kriging with ArcGIS software. The production of coffee covers about 32 000 ha, or 2.3% of all cultivated land in the country. The major zones of production are the Kivu Lake Borders, Central Plateau, Eastern Plateau, and Mayaga agro-ecological zones, where coffee is mainly cultivated on moderate slopes. In the highlands, coffee is grown on steep slopes that can exceed 55%. About 21% percent of the country has a moderate yield potential, ranging between 1.0 and 1.6 t coffee ha −1 , and 70% has a low yield potential (<1.0 t coffee ha −1 ). Only 9% of the country has a high yield potential of 1.6–2.4 t coffee ha −1 . Those areas are found near Lake Kivu where the dominant soil Orders are Inceptisols and Ultisols. Moderate yield potential is found in the Birunga (volcano), Congo-Nile watershed Divide, Impala and Imbo zones. Low-yield regions (<1 t ha −1 ) occur in the eastern semi-dry lowlands, Central Plateau, Eastern Plateau, Buberuka Highlands, and Mayaga zones. The weighted overlay analysis and ordinary kriging indicated a large spatial variability of potential productivity indices. Increasing the area and productivity of coffee in Rwanda thus has considerable potential. |
Author | Nzeyimana, Innocent Geissen, Violette Hartemink, Alfred E. |
AuthorAffiliation | Tennessee State University, United States of America 2 Department of Soil Science, FD Hole Soils Lab, University of Wisconsin, Madison, Madison, Wisconsin, United States of America 1 Soil Physics and Land Management Group, Wageningen University, Wageningen, The Netherlands |
AuthorAffiliation_xml | – name: 2 Department of Soil Science, FD Hole Soils Lab, University of Wisconsin, Madison, Madison, Wisconsin, United States of America – name: 1 Soil Physics and Land Management Group, Wageningen University, Wageningen, The Netherlands – name: Tennessee State University, United States of America |
Author_xml | – sequence: 1 givenname: Innocent surname: Nzeyimana fullname: Nzeyimana, Innocent – sequence: 2 givenname: Alfred E. surname: Hartemink fullname: Hartemink, Alfred E. – sequence: 3 givenname: Violette surname: Geissen fullname: Geissen, Violette |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/25299459$$D View this record in MEDLINE/PubMed |
BookMark | eNp9kktvEzEQx1eoiD7gGyBYiUsvG_za3ZgDUohKG6kIicfZGnvt4Mixg71L6Levt0mgrRAXjzWe-fk_j9PiyAevi-IlRhNMW_x2FYbowU022T1BGLWM8SfFCeaUVA1B9Oje_bg4TWmFUE2nTfOsOCY14ZzV_KS4ulx8rT5A0l35aXC9rebR9jpaKGcZfpNsKk2I5SyCtArKeTBG6_Li9wZ8ssGX1pdftuA7eF48NeCSfrG3Z8X3jxff5lfV9efLxXx2Xam6bfsKcN1hhXAHpGMNIkzJugPZSISkoQ3XSplWUmIYbShBsjUUITBKA8dMAadnxesdd-NCEvsmJIEbxGtEOUM5YrGL6AKsxCbaNcQbEcCKO0eISwGxt8ppwVAzlRQbpIhkuYd8ynmTP1FEqw5JmVnvdqwtLLW3Ph_CQ1Q23QGdlXGEb4covBvNZpBJMI6ympz8fi91kGvdKe37CO6Boocv3v4Qy_BLMMwxr3EGnO8BMfwcdOrF2ialnQOvwzAWncde1w0Z2_LmUei_W_PqvqI_Ug778LdeFUNKURuhbA99nnQWaJ3ASIzLd4CLcfnEfvlyMnuUfOD_N-0W78fh3w |
CitedBy_id | crossref_primary_10_1016_j_catena_2016_08_034 crossref_primary_10_13050_foodengprog_2018_22_2_89 crossref_primary_10_1007_s13593_016_0363_0 crossref_primary_10_1016_j_compag_2019_05_012 crossref_primary_10_3390_s24196287 crossref_primary_10_1016_j_ecolind_2021_108339 crossref_primary_10_1016_j_compag_2019_105062 crossref_primary_10_3390_ijgi9110673 crossref_primary_10_1002_fsn3_887 crossref_primary_10_1016_j_envsoft_2017_06_028 crossref_primary_10_1371_journal_pone_0224041 crossref_primary_10_1590_1807_1929_agriambi_v24n12p834_839 crossref_primary_10_1007_s12517_021_07795_9 crossref_primary_10_5897_AJAR2018_13068 crossref_primary_10_1007_s10113_021_01803_0 crossref_primary_10_1080_19439342_2022_2047765 crossref_primary_10_1088_1755_1315_575_1_012078 crossref_primary_10_1007_s10068_017_0168_1 crossref_primary_10_1016_j_cropro_2019_04_029 crossref_primary_10_1016_j_agsy_2019_02_013 crossref_primary_10_20289_zfdergi_678474 crossref_primary_10_1080_23311932_2019_1611051 crossref_primary_10_1016_j_apgeog_2015_01_010 crossref_primary_10_1016_j_biombioe_2023_106916 crossref_primary_10_1016_j_ecolind_2019_105738 crossref_primary_10_1139_geomat_2018_0017 crossref_primary_10_3389_fsufs_2022_850280 crossref_primary_10_3390_conservation2020024 crossref_primary_10_1590_1678_992x_2022_0214 crossref_primary_10_1111_sum_12534 |
Cites_doi | 10.1007/s10722-008-9361-7 10.2136/sssaj1993.03615995005700020026x 10.1023/A:1007511019496 10.1016/j.cageo.2011.08.020 10.1016/j.compag.2009.10.005 10.1080/02693799608902119 10.1007/978-94-017-1677-2_12 10.1300/J064v11n01_03 10.1016/0016-7061(96)00031-6 10.1016/S0016-7061(02)00146-5 10.1659/0276-4741(2005)025[0212:EFTDAA]2.0.CO;2 10.1016/S0305-750X(02)00032-3 10.1016/j.geoderma.2003.08.018 10.1016/S1002-0160(11)60198-7 10.1016/j.agsy.2010.12.004 10.2136/sssaj2004.2042 10.2134/agronj2000.92175x 10.1016/j.agee.2008.09.004 10.1007/978-0-387-48536-2 10.1016/j.progress.2003.09.002 10.1111/j.1475-2743.1992.tb00900.x 10.1016/S0303-2434(01)85023-6 10.1016/j.eja.2013.02.010 10.1007/s10457-010-9291-1 10.5367/oa.2013.0118 10.1016/j.worlddev.2003.11.004 |
ContentType | Journal Article |
Copyright | 2014. This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2014 Wageningen University & Research |
Copyright_xml | – notice: 2014. This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: 2014 – notice: Wageningen University & Research |
DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 3V. 7QG 7QL 7QO 7RV 7SN 7SS 7T5 7TG 7TM 7U9 7X2 7X7 7XB 88E 8AO 8C1 8FD 8FE 8FG 8FH 8FI 8FJ 8FK ABJCF ABUWG AEUYN AFKRA ARAPS ATCPS AZQEC BBNVY BENPR BGLVJ BHPHI C1K CCPQU D1I DWQXO FR3 FYUFA GHDGH GNUQQ H94 HCIFZ K9. KB. KB0 KL. L6V LK8 M0K M0S M1P M7N M7P M7S NAPCQ P5Z P62 P64 PATMY PDBOC PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS PTHSS PYCSY RC3 7X8 5PM QVL DOA |
DOI | 10.1371/journal.pone.0107449 |
DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed ProQuest Central (Corporate) Animal Behavior Abstracts Bacteriology Abstracts (Microbiology B) Biotechnology Research Abstracts Nursing & Allied Health Database Ecology Abstracts Entomology Abstracts (Full archive) Immunology Abstracts Meteorological & Geoastrophysical Abstracts Nucleic Acids Abstracts Virology and AIDS Abstracts Agricultural Science Collection Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) ProQuest Pharma Collection Public Health Database Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Natural Science Collection Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) Materials Science & Engineering Collection ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland Advanced Technologies & Aerospace Collection Agricultural & Environmental Science Collection ProQuest Central Essentials Biological Science Collection ProQuest Central Technology Collection Natural Science Collection Environmental Sciences and Pollution Management ProQuest One Community College ProQuest Materials Science Collection ProQuest Central Korea Engineering Research Database Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student AIDS and Cancer Research Abstracts ProQuest SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) Materials Science Database Nursing & Allied Health Database (Alumni Edition) Meteorological & Geoastrophysical Abstracts - Academic ProQuest Engineering Collection Biological Sciences Agricultural Science Database Health & Medical Collection (Alumni) Medical Database Algology Mycology and Protozoology Abstracts (Microbiology C) Biological Science Database Engineering Database Nursing & Allied Health Premium Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection Biotechnology and BioEngineering Abstracts Environmental Science Database Materials Science Collection ProQuest Central Premium ProQuest One Academic Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China Engineering Collection Environmental Science Collection Genetics Abstracts MEDLINE - Academic PubMed Central (Full Participant titles) NARCIS:Publications DOAJ Directory of Open Access Journals |
DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Agricultural Science Database Publicly Available Content Database ProQuest Central Student ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials Nucleic Acids Abstracts SciTech Premium Collection ProQuest Central China Environmental Sciences and Pollution Management ProQuest One Applied & Life Sciences ProQuest One Sustainability Health Research Premium Collection Meteorological & Geoastrophysical Abstracts Natural Science Collection Health & Medical Research Collection Biological Science Collection ProQuest Central (New) ProQuest Medical Library (Alumni) Engineering Collection Advanced Technologies & Aerospace Collection Engineering Database Virology and AIDS Abstracts ProQuest Biological Science Collection ProQuest One Academic Eastern Edition Agricultural Science Collection ProQuest Hospital Collection ProQuest Technology Collection Health Research Premium Collection (Alumni) Biological Science Database Ecology Abstracts ProQuest Hospital Collection (Alumni) Biotechnology and BioEngineering Abstracts Environmental Science Collection Entomology Abstracts Nursing & Allied Health Premium ProQuest Health & Medical Complete ProQuest One Academic UKI Edition Environmental Science Database ProQuest Nursing & Allied Health Source (Alumni) Engineering Research Database ProQuest One Academic Meteorological & Geoastrophysical Abstracts - Academic ProQuest One Academic (New) Technology Collection Technology Research Database ProQuest One Academic Middle East (New) Materials Science Collection ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Pharma Collection ProQuest Central ProQuest Health & Medical Research Collection Genetics Abstracts ProQuest Engineering Collection Biotechnology Research Abstracts Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Bacteriology Abstracts (Microbiology B) Algology Mycology and Protozoology Abstracts (Microbiology C) Agricultural & Environmental Science Collection AIDS and Cancer Research Abstracts Materials Science Database ProQuest Materials Science Collection ProQuest Public Health ProQuest Nursing & Allied Health Source ProQuest SciTech Collection Advanced Technologies & Aerospace Database ProQuest Medical Library Animal Behavior Abstracts Materials Science & Engineering Collection Immunology Abstracts ProQuest Central (Alumni) MEDLINE - Academic |
DatabaseTitleList | Agricultural Science Database MEDLINE - Academic MEDLINE |
Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 4 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Sciences (General) Ecology Agriculture |
DocumentTitleAlternate | Spatial Analysis for Coffee Expansion |
EISSN | 1932-6203 |
ExternalDocumentID | 1609503940 oai_doaj_org_article_4068b31f0c2b401098996a93c2ecd0bb oai_library_wur_nl_wurpubs_490095 PMC4191951 3456787071 25299459 10_1371_journal_pone_0107449 |
Genre | Research Support, Non-U.S. Gov't Journal Article |
GeographicLocations | Uganda Netherlands Rwanda |
GeographicLocations_xml | – name: Netherlands – name: Uganda – name: Rwanda |
GroupedDBID | --- 123 29O 2WC 53G 5VS 7RV 7X2 7X7 7XC 88E 8AO 8C1 8CJ 8FE 8FG 8FH 8FI 8FJ A8Z AAFWJ AAUCC AAWOE AAYXX ABDBF ABIVO ABJCF ABUWG ACGFO ACIHN ACIWK ACPRK ACUHS ADBBV ADRAZ AEAQA AENEX AEUYN AFKRA AFPKN AFRAH AHMBA ALIPV ALMA_UNASSIGNED_HOLDINGS AOIJS APEBS ARAPS ATCPS BAWUL BBNVY BCNDV BENPR BGLVJ BHPHI BKEYQ BPHCQ BVXVI BWKFM CCPQU CITATION CS3 D1I D1J D1K DIK DU5 E3Z EAP EAS EBD EMOBN ESX EX3 F5P FPL FYUFA GROUPED_DOAJ GX1 HCIFZ HH5 HMCUK HYE IAO IEA IGS IHR IHW INH INR IOV IPY ISE ISR ITC K6- KB. KQ8 L6V LK5 LK8 M0K M1P M48 M7P M7R M7S M~E NAPCQ O5R O5S OK1 OVT P2P P62 PATMY PDBOC PHGZM PHGZT PIMPY PQQKQ PROAC PSQYO PTHSS PYCSY RNS RPM SV3 TR2 UKHRP WOQ WOW ~02 ~KM 3V. BBORY CGR CUY CVF ECM EIF IPNFZ NPM PV9 RIG RZL 7QG 7QL 7QO 7SN 7SS 7T5 7TG 7TM 7U9 7XB 8FD 8FK AZQEC C1K DWQXO FR3 GNUQQ H94 K9. KL. M7N P64 PJZUB PKEHL PPXIY PQEST PQGLB PQUKI PRINS RC3 7X8 5PM - 02 AAPBV ABPTK ADACO BBAFP KM LI0 QVL PUEGO |
ID | FETCH-LOGICAL-c577t-a15d1c01da2d46024cb5dab6b00bf369eccf7b32f436320b7f300afcea914ca93 |
IEDL.DBID | M48 |
ISSN | 1932-6203 |
IngestDate | Fri Nov 26 17:13:54 EST 2021 Wed Aug 27 01:32:13 EDT 2025 Mon May 10 21:34:05 EDT 2021 Thu Aug 21 13:35:47 EDT 2025 Mon Jul 21 11:07:27 EDT 2025 Fri Jul 25 10:30:36 EDT 2025 Wed Feb 19 01:55:47 EST 2025 Thu Apr 24 22:58:55 EDT 2025 Tue Jul 01 04:13:50 EDT 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 10 |
Language | English |
License | This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. Creative Commons CC0 public domain |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c577t-a15d1c01da2d46024cb5dab6b00bf369eccf7b32f436320b7f300afcea914ca93 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Competing Interests: The authors have declared that no competing interests exist. Conceived and designed the experiments: IN. Performed the experiments: IN. Analyzed the data: IN. Contributed reagents/materials/analysis tools: IN. Wrote the paper: IN AEH VG. Supervision of the research project: AEH VG. |
OpenAccessLink | http://journals.scholarsportal.info/openUrl.xqy?doi=10.1371/journal.pone.0107449 |
PMID | 25299459 |
PQID | 1609503940 |
PQPubID | 1436336 |
ParticipantIDs | plos_journals_1609503940 doaj_primary_oai_doaj_org_article_4068b31f0c2b401098996a93c2ecd0bb wageningen_narcis_oai_library_wur_nl_wurpubs_490095 pubmedcentral_primary_oai_pubmedcentral_nih_gov_4191951 proquest_miscellaneous_1610755629 proquest_journals_1609503940 pubmed_primary_25299459 crossref_citationtrail_10_1371_journal_pone_0107449 crossref_primary_10_1371_journal_pone_0107449 |
ProviderPackageCode | CITATION AAYXX QVL |
PublicationCentury | 2000 |
PublicationDate | 2014-10-09 |
PublicationDateYYYYMMDD | 2014-10-09 |
PublicationDate_xml | – month: 10 year: 2014 text: 2014-10-09 day: 09 |
PublicationDecade | 2010 |
PublicationPlace | United States |
PublicationPlace_xml | – name: United States – name: San Francisco – name: San Francisco, USA |
PublicationTitle | PloS one |
PublicationTitleAlternate | PLoS One |
PublicationYear | 2014 |
Publisher | Public Library of Science Public Library of Science (PLoS) |
Publisher_xml | – name: Public Library of Science – name: Public Library of Science (PLoS) |
References | ref13 N Walke (ref21) 2012; 41 JM McKinion (ref38) 2010; 70 JM Boffa (ref4) 2009; 25 ref36 DG Rossiter (ref12) 1996; 72 ref32 J Malczewski (ref14) 2004; 62 ref17 A Kravchenko (ref35) 2000; 92 S Ponte (ref1) 2002; 30 JP Labouisse (ref2) 2008; 55 AS Bosselmann (ref10) 2009; 129 A Soltani (ref37) 2013; 48 T Hengl (ref30) 2004; 120 J Malczewski (ref22) 1996; (8) A Verdoodt (ref7) 2003 B Li (ref20) 2012; (1) A Changere (ref34) 1997; 11 AK Maji (ref16) 1998; 46 ref24 ref23 ref26 ref25 M Van Oijen (ref5) 2010; 80 SJ Park (ref29) 2002; 109 PJA Van Asten (ref39) 2011; 104 AK Maji (ref18) 2001; (1) ref28 EZ Gabre-Madhin (ref11) 2004; 32 ref8 TG Mueller (ref31) 2004; 68 ref9 D De La Rosa (ref15) 1992; 8 ref3 F Joerin (ref19) 2001; (8) MG Genton (ref27) 1998; 30 ID Moore (ref33) 1993; 57 I Nzeyimana (ref6) 2013; 42 26854792 - PLoS One. 2016;11(2):e0149239 |
References_xml | – volume: 55 start-page: 1079 year: 2008 ident: ref2 article-title: Current status of coffee (coffea Arabica L.) genetic resources in Ethiopia: implications for conservation publication-title: Genetic Resource Crop Evolution doi: 10.1007/s10722-008-9361-7 – volume: 57 start-page: 443 year: 1993 ident: ref33 article-title: Soil attribute prediction using terrain analysis publication-title: Soil Science Society of American Journal doi: 10.2136/sssaj1993.03615995005700020026x – ident: ref28 doi: 10.1023/A:1007511019496 – ident: ref3 – volume: 41 start-page: 108 year: 2012 ident: ref21 article-title: GIS-based multicriteria overlay analysis in soil-suitability evaluation for cotton (Gossypium spp.): A case study in the black soil region of Central India publication-title: Computers & Geosciences doi: 10.1016/j.cageo.2011.08.020 – volume: (8) start-page: 321 year: 2001 ident: ref19 article-title: Using GIS and outranking multi-criteria analysis for land use suitability assessment publication-title: International Journal of Geographical Information Science 10 – volume: 70 start-page: 187 year: 2010 ident: ref38 article-title: Spatial analyses to evaluate multi-crop yield stability for a field publication-title: Computers and Electronics in Agriculture doi: 10.1016/j.compag.2009.10.005 – volume: (8) start-page: 955 year: 1996 ident: ref22 article-title: A GIS-based approach to multiple criteria group decision-making publication-title: International Journal of Geographical Information Systems 10 doi: 10.1080/02693799608902119 – ident: ref23 doi: 10.1007/978-94-017-1677-2_12 – volume: 11 start-page: 5 year: 1997 ident: ref34 article-title: Slope position and erosional effects on soil properties and corn production on a Miamian soil in Central Ohio publication-title: Journal of Sustainable Agriculture doi: 10.1300/J064v11n01_03 – volume: 72 start-page: 165 year: 1996 ident: ref12 article-title: A theoretical framework for land evaluation publication-title: Geoderma doi: 10.1016/0016-7061(96)00031-6 – ident: ref24 – ident: ref25 – volume: 109 start-page: 117 issue: (1–2) year: 2002 ident: ref29 article-title: Environmental correlation of three-dimensional soil spatial variability: a comparison of three adaptive techniques publication-title: Geoderma doi: 10.1016/S0016-7061(02)00146-5 – volume: 25 start-page: 212 year: 2009 ident: ref4 article-title: Enhancing farm tree diversity as a means of conserving landscape-based biodiversity publication-title: Mountain Research and Development doi: 10.1659/0276-4741(2005)025[0212:EFTDAA]2.0.CO;2 – volume: 46 start-page: 260 year: 1998 ident: ref16 article-title: Geographical Information System in analysis and interpretation of soil resources data for land use planning publication-title: Journal of Indian Society of Soil Science – ident: ref9 – volume: 30 start-page: 1099 year: 2002 ident: ref1 article-title: The "latte revolution"? Regulation, markets and consumption in the global coffee chain publication-title: World development doi: 10.1016/S0305-750X(02)00032-3 – ident: ref32 – ident: ref17 – ident: ref13 – volume: 120 start-page: 75 issue: (1–2) year: 2004 ident: ref30 article-title: A generic framework for spatial prediction of soil variables based on regression-kriging publication-title: Geoderma doi: 10.1016/j.geoderma.2003.08.018 – ident: ref36 – volume: (1) start-page: 122 year: 2012 ident: ref20 article-title: Comprehensive Suitability Evaluation of Tea Crops Using GIS and a Modified Land Ecological Suitability Evaluation Model publication-title: Pedosphere 22 doi: 10.1016/S1002-0160(11)60198-7 – volume: 104 start-page: 326 year: 2011 ident: ref39 article-title: Agronomic and economic benefits of coffee–banana intercropping in Uganda's smallholder farming systems publication-title: Agricultural Systems doi: 10.1016/j.agsy.2010.12.004 – volume: 68 start-page: 2042 year: 2004 ident: ref31 article-title: Map Quality for ordinary Kriging and inverse distance weighted interpolation publication-title: Soil Science Society of America Journal doi: 10.2136/sssaj2004.2042 – volume: 30 issue: (2) year: 1998 ident: ref27 article-title: Highly robust variogram estimation publication-title: Mathematical Geology – volume: 92 start-page: 75 year: 2000 ident: ref35 article-title: Correlation of corn and soybean grain yield with topography and soil properties publication-title: Agronomy Journal doi: 10.2134/agronj2000.92175x – volume: 129 start-page: 253 year: 2009 ident: ref10 article-title: The influence of shade trees on coffee quality in small holder coffee agroforestry systems in southern Colombia publication-title: Agriculture, Ecosystems and Environment doi: 10.1016/j.agee.2008.09.004 – ident: ref26 doi: 10.1007/978-0-387-48536-2 – volume: 62 start-page: 3 year: 2004 ident: ref14 article-title: GIS-Based land use suitability analysis: a critical overview publication-title: Progress in Planning doi: 10.1016/j.progress.2003.09.002 – volume: 8 start-page: 89 year: 1992 ident: ref15 article-title: MicroLEIS: a Micro Computer-Based Mediterranean Land Evaluation Information System publication-title: Soil Use and Management doi: 10.1111/j.1475-2743.1992.tb00900.x – start-page: 90 year: 2003 ident: ref7 article-title: Land evaluation for agricultural production in the tropics: A large – scale land suitability classification for Rwanda. Ghent: Laboratory of soil science, Ghent University publication-title: ISBN – volume: (1) start-page: 69 year: 2001 ident: ref18 article-title: Soil information system of Arunachal Pradesh in a GIS environmental for land use planning publication-title: International Journal of Applied Earth Observation and Geo-Information 3 doi: 10.1016/S0303-2434(01)85023-6 – volume: 48 start-page: 101 year: 2013 ident: ref37 article-title: Model suitability to assess regional potato yield patterns in northern Ecuador publication-title: European Journal of Agronomy doi: 10.1016/j.eja.2013.02.010 – volume: 80 year: 2010 ident: ref5 article-title: Coffee agroforestry systems in Central America: II. Development of a simple process-based model and preliminary results publication-title: Agroforestry Systems doi: 10.1007/s10457-010-9291-1 – volume: 42 start-page: 47 issue: (1) year: 2013 ident: ref6 article-title: Coffee farming and soil management in Rwanda publication-title: Outlook on Agriculture doi: 10.5367/oa.2013.0118 – ident: ref8 – volume: 32 start-page: 745 year: 2004 ident: ref11 article-title: Successes in African Agriculture: results of an expert survey publication-title: World development doi: 10.1016/j.worlddev.2003.11.004 – reference: 26854792 - PLoS One. 2016;11(2):e0149239 |
SSID | ssj0053866 |
Score | 2.2902377 |
Snippet | The Government of Rwanda is implementing policies to increase the area of Arabica coffee production. Information on the suitable areas for sustainably growing... |
SourceID | plos doaj wageningen pubmedcentral proquest pubmed crossref |
SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source |
StartPage | e107449 |
SubjectTerms | Agricultural production Agriculture Biology and Life Sciences Coffea - growth & development Coffee Coffee production Computer and Information Sciences Congo corn Crop yield Crops Cultivated lands Earth Sciences Ecology Ecology and Environmental Sciences Farmers framework Geographic Information Systems Highlands Kriging interpolation Lakes land evaluation Land use planning Lowlands prediction Productivity quality Remote sensing Researchers Rwanda Satellite navigation systems Slopes Soil Soil fertility soil properties Soil sciences Spatial analysis Spatial distribution Spatial variability suitability evaluation Topography Volcanoes Watersheds Yield |
SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELZQT70gyqtLCzISBzi4deJH6mOLKAsHDkCl3izbsUWllbdqdrX8fGYc77IrKvXCKVLsOM48PDP25BtC3iHGF7gZjhmtHJMyKnbmOw4xDx7KtK51Y7bFNz29kl-v1fVWqS_MCRvhgUfCnYLBOfOiSTy0XuI5DgQI2hkR2hh67j2uvmDz1sHUuAaDFmtdf5QTXXNa-XJyO8_xhGMOImJnbhmigteP-Kaz-XCfr_lvyuT-CvQ9lx-gtgzS5RPyuHqS9Hz8ggPyKOan5KDq6kDfV0DpD8_I9POXHwzNVU9L_iCDlQIhmh11FZKEgusKIzkPLKNhnlKMNP6GhQL30uhNpt9XuOPwnFxdfvr5ccpqBQUWVNctmGtU3wTe9K7tpQZzHLzqndegaz4JbYB_qfOiTVJo0XLfJcG5SyE608gAVH5B9jLQ7JBQIHJI3LmoIQIxWjppnIfoUBoYCdg9IWJNThsqvDhWuZjZcmbWQZgx0sUiE2xlwoSwzVO3I7zGA_0vkFObvgiOXW6AyNgqMvYhkZmQQ-Tz-gWDbRB1j2ON-Ak5XvP-_ua3m2ZQQzxbcTnOl9gHJqjAmYQpvhxFZTPJVoHNlwpauh0h2vmK3ZZ886tAfUsIp8EHBuL-FTebscrUUJ6qW312tbyzeYYXGGew0qDr_Op_EOuI7IOPKEv-ojkme4u7ZXwNftjCvykq9we7RjLf priority: 102 providerName: Directory of Open Access Journals – databaseName: ProQuest Technology Collection dbid: 8FG link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwhV3Pb9MwFLZgXMYBsfFjhYGMxAEO3pzEceoT2qZ1hQMHYNJulu04Y1LllKZV-fN5z3G6VUxwqhQ7qe33nv09-_l7hLxHji-AGYYpWRomhC_Z2FYcfB48lMlNbvpoi69yeim-XJVXacOtS2GVw5wYJ-q6dbhHfpwhMxrHPN6f5r8YZo3C09WUQuMheZTBSoMhXePJxTATgy1Lma7LFVV2nKRzNG-DP-IYiYgMmneWo8jajyyns7a7D3H-HTi5uwarD_Ea1J1lafKUPEl4kp70CrBHHviwTx6fXC8Sp4bfJ3vJfjv6IZFMf3xGphefv7NTWMJqGu_gMsx5gNpIB5oSCnAWvmssiJGetU3jPT3_DZMH7q_Rm0C_rXEX4jm5nJz_OJuylFWBubKqlsxkZZ05ntUmr4WEJdrZsjZWgv3ZppAKZNpUtsgbUcgi57ZqCs5N47xRmXBGFS_IToARPCA058o13BgvwStRUhihjAWPUSj4EqjAiBTD4GqXKMcx88VMx3O0ClyPfpQ0ikQnkYwI27w17yk3_lP_FOW2qYuE2fFBu7jWyf404JaxLbKGu9wKPA4EP1NCZ1zuXc2tHZEDlPrwB52-1bcRORw04f7id5tiME08bzHBtyusAw0sAWBCE1_2irNpZF4CDhAllFRbKrXVi-2ScPMz0n8LcLEBF8Pg3iqfDph5qotvpe0_vV4tdJjhD3yn00IhnH717868JruACEWMVlSHZGe5WPk3gLqW9m00rT8d6S6c priority: 102 providerName: ProQuest |
Title | GIS-Based Multi-Criteria Analysis for Arabica Coffee Expansion in Rwanda |
URI | https://www.ncbi.nlm.nih.gov/pubmed/25299459 https://www.proquest.com/docview/1609503940 https://www.proquest.com/docview/1610755629 https://pubmed.ncbi.nlm.nih.gov/PMC4191951 http://www.narcis.nl/publication/RecordID/oai:library.wur.nl:wurpubs%2F490095 https://doaj.org/article/4068b31f0c2b401098996a93c2ecd0bb http://dx.doi.org/10.1371/journal.pone.0107449 |
Volume | 9 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwhV3Nb9MwFLf2cRkHxMbHCqMKEgc4pHISx64PCK1Vu4LEhAaVerPsxNkmVeloWnVc-Nt5z3ECFQUuqVR_xPZ7L_49f_weIa-R4wtghg4lT3XImE3DvhEUfB7clIl1rOvTFpd8MmUfZ-lsjzQxW_0AVjtdO4wnNV3Oe_ffvr8Hg3_nojaIqCnUu1uUtkfxhCGT--QQ5iaBMQ0-sXZfAaybc3-B7m8ltyYox-OPvKfzRbULg_55lPJoA9-B0l2M-m2iGj8iDz3CDM5rlTgme7Y8IQ_Or5eeZcOekGNv0VXwxtNOv31MJhcfvoQDmNTywN3KDTEKAupn0BCXBABwoV5tQLDBcFEU1gaje_ic4IpbcFsGVxtcl3hCpuPR1-Ek9HEWwiwVYhXqKM2jjEa5jnPGYdLOTJprw8EiTZFwCVIuhEnigiU8iakRRUKpLjKrZcQyLZOn5KCEETwlQUxlVlCtLQc_RXKmmdQGfEgmoSZQig5JmsFVmSchx1gYc-V21gQ4I_UoKRSJ8iLpkLAtdVeTcPwn_wDl1uZFCm33x2J5rbxFKkAyfZNEBc1iw3CDEDxPDp3JYpvl1JgOOUWpNy-oVITcfBQjyXfIWaMJu5NftclgrLgDo0u7WGMeaGAKkBOa-KxWnLaRcQrIgKWQIrZUaqsX2ynl7Y0jBGfgdANShsH9pXyqxFhUlSvlFwTVZr1U5Rx_oJ5KMYkA-_m_O_OCHAFGZO78ojwjB6vl2r4EHLYyXbIvZgKe_WGEz_FFlxwORpefr7puZaPrTA-fP0Y_AUkdOs8 |
linkProvider | Scholars Portal |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3LbtQwFLWqsqAsEC2PDhQwEkiwSOs4jtMsEGpLpzO0dAGt1J2xHadUGiXDpKOBn-Ibuddxph1RwaqrkWIn48fx9bl-nEvIa9T4Apqho1ymOhLCpdG2yRj4PLgpwzXX7WmLYzk4FZ_O0rMl8ru7C4PHKjub6A11UVtcI9-KURmNYRzvD-MfEUaNwt3VLoRGC4tD92sGLlvzfvgR-vcN5_39k71BFKIKRDbNsstIx2kRWxYXmhdCwhRlTVpoIwF_pkxkDnUqM5PwUiQy4cxkZcKYLq3TeSysRvElMPl3RAIzOd5M7x90lh9sh5Thel6SxVsBDZvjunKbDE8-omLntenPRwlAVdVR3dzEcP8-qLkyAytT-WtX16bB_gNyP_BXutMCbpUsuWqN3Ns5nwQND7dGVoO9aOjbIGr97iEZHAy_RrswZRbU3_mNMMYCop92sigU6DN8VxuADd2ry9I5uv8TjBWu59GLin6Z4arHI3J6K-39mCxX0ILrhHKW25Jp7SR4QbkUWuTagIcqcvgSQK5Hkq5xlQ0S5xhpY6T8vl0Grk7bSgq7RIUu6ZFo_ta4lfj4T_5d7Ld5XhTo9g_qybkK410BT9o2SVwyy43A7UfwayVUxnJnC2ZMj6xjr3d_0KgrfPfIRoeEm5NfzZPBFOD-jq5cPcU8UMAUCC0U8UkLnHkheQq8Q6SQki1AaqEWiynVxXcvNy7ApQceDo17BT5VYaSrxr8VlhvVbDpR1Qh_4DuNEjnS96f_rsxLcndw8vlIHQ2PD5-RFWCjwp-UzDfI8uVk6p4D47s0L_wwo-TbbY_rP-Z3bNA |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3db9MwELemIaHxgNj4WNkAI4EED1kdx3GaB4S2bqVlaELApL0Z23HGpCrpmlaFf42_jrvE6VYxwdOeKsVO6o-78-_s8-8IeYUcXwAzdJDKWAdCuDjomYSBz4OHMlxz3URbnMjhqfh4Fp-tkd_tXRgMq2xtYm2os9LiHnk3RGY0hnm8u7kPi_h8OHg_uQwwgxSetLbpNBoROXa_FuC-Ve9GhzDXrzkfHH3rDwOfYSCwcZLMAh3GWWhZmGmeCQnLlTVxpo0EWTR5JFPoX56YiOcikhFnJskjxnRunU5DYTUSMYH5v5NESQ91rNdfhpeAHZHSX9WLkrDrJWNvUhZuj2EUJLJ3XlsK64wByLA6Lqub0O7fQZsbC7A4RX0F69qSOHhA7nssS_cb4dska67YIvf2z6eez8NtkU1vOyr6xhNcv31Ihh9GX4MDWD4zWt__DTDfAmoCbSlSKEBp-K42IEK0X-a5c_ToJxgu3NujFwX9ssAdkEfk9FbG-zFZL2AEtwnlLLU509pJ8IhSKbRItQFvVaTwJRC_DonawVXW051j1o2xqs_wEnB7mlFSOCXKT0mHBMu3Jg3dx3_qH-C8LesiWXf9oJyeK6_7CjBTz0Rhziw3Ao8iwceV0BnLnc2YMR2yjbPe_kGlrmS9Q3ZbSbi5-OWyGMwCnvXowpVzrAMNjAHcQhOfNIKzbCSPAYOIGEqSFZFa6cVqSXHxo6YeF-DeAyaHwb0SPlVg1quqfstvParFfKqKMf7AdyolUoTyT__dmRfkLmi0-jQ6Od4hGwBMRR00me6S9dl07p4B-JuZ57WWUfL9ttX6Dzl5cNE |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=GIS-Based+Multi-Criteria+Analysis+for+Arabica+Coffee+Expansion+in+Rwanda&rft.jtitle=PloS+one&rft.au=Nzeyimana%2C+Innocent&rft.au=Hartemink%2C+Alfred+E&rft.au=Geissen%2C+Violette&rft.date=2014-10-09&rft.pub=Public+Library+of+Science&rft.eissn=1932-6203&rft.volume=9&rft.issue=10&rft.spage=e107449&rft_id=info:doi/10.1371%2Fjournal.pone.0107449&rft.externalDBID=HAS_PDF_LINK&rft.externalDocID=3456787071 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1932-6203&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1932-6203&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1932-6203&client=summon |