Socio-economic and climate change impacts on agriculture: an integrated assessment, 1990–2080

A comprehensive assessment of the impacts of climate change on agro-ecosystems over this century is developed, up to 2080 and at a global level, albeit with significant regional detail. To this end an integrated ecological-economic modelling framework is employed, encompassing climate scenarios, agr...

Full description

Saved in:
Bibliographic Details
Published inPhilosophical transactions of the Royal Society of London. Series B. Biological sciences Vol. 360; no. 1463; pp. 2067 - 2083
Main Authors Fischer, Günther, Shah, Mahendra, N. Tubiello, Francesco, van Velhuizen, Harrij
Format Journal Article
LanguageEnglish
Published London The Royal Society 29.11.2005
Subjects
Online AccessGet full text

Cover

Loading…
Abstract A comprehensive assessment of the impacts of climate change on agro-ecosystems over this century is developed, up to 2080 and at a global level, albeit with significant regional detail. To this end an integrated ecological-economic modelling framework is employed, encompassing climate scenarios, agro-ecological zoning information, socio-economic drivers, as well as world food trade dynamics. Specifically, global simulations are performed using the FAO/IIASA agro-ecological zone model, in conjunction with IIASAs global food system model, using climate variables from five different general circulation models, under four different socio-economic scenarios from the intergovernmental panel on climate change. First, impacts of different scenarios of climate change on bio-physical soil and crop growth determinants of yield are evaluated on a 5′×5′ latitude/longitude global grid; second, the extent of potential agricultural land and related potential crop production is computed. The detailed bio-physical results are then fed into an economic analysis, to assess how climate impacts may interact with alternative development pathways, and key trends expected over this century for food demand and production, and trade, as well as key composite indices such as risk of hunger and malnutrition, are computed. This modelling approach connects the relevant bio-physical and socio-economic variables within a unified and coherent framework to produce a global assessment of food production and security under climate change. The results from the study suggest that critical impact asymmetries due to both climate and socio-economic structures may deepen current production and consumption gaps between developed and developing world; it is suggested that adaptation of agricultural techniques will be central to limit potential damages under climate change.
AbstractList A comprehensive assessment of the impacts of climate change on agro-ecosystems over this century is developed, up to 2080 and at a global level, albeit with significant regional detail. To this end an integrated ecological–economic modelling framework is employed, encompassing climate scenarios, agro-ecological zoning information, socio-economic drivers, as well as world food trade dynamics. Specifically, global simulations are performed using the FAO/IIASA agro-ecological zone model, in conjunction with IIASAs global food system model, using climate variables from five different general circulation models, under four different socio-economic scenarios from the intergovernmental panel on climate change. First, impacts of different scenarios of climate change on bio-physical soil and crop growth determinants of yield are evaluated on a 5′×5′ latitude/longitude global grid; second, the extent of potential agricultural land and related potential crop production is computed. The detailed bio-physical results are then fed into an economic analysis, to assess how climate impacts may interact with alternative development pathways, and key trends expected over this century for food demand and production, and trade, as well as key composite indices such as risk of hunger and malnutrition, are computed. This modelling approach connects the relevant bio-physical and socio-economic variables within a unified and coherent framework to produce a global assessment of food production and security under climate change. The results from the study suggest that critical impact asymmetries due to both climate and socio-economic structures may deepen current production and consumption gaps between developed and developing world; it is suggested that adaptation of agricultural techniques will be central to limit potential damages under climate change.
A comprehensive assessment of the impacts of climate change on agro-ecosystems over this century is developed, up to 2080 and at a global level, albeit with significant regional detail. To this end an integrated ecological–economic modelling framework is employed, encompassing climate scenarios, agro-ecological zoning information, socio-economic drivers, as well as world food trade dynamics. Specifically, global simulations are performed using the FAO/IIASA agro-ecological zone model, in conjunction with IIASAs global food system model, using climate variables from five different general circulation models, under four different socio-economic scenarios from the intergovernmental panel on climate change. First, impacts of different scenarios of climate change on bio-physical soil and crop growth determinants of yield are evaluated on a 5′×5′ latitude/longitude global grid; second, the extent of potential agricultural land and related potential crop production is computed. The detailed bio-physical results are then fed into an economic analysis, to assess how climate impacts may interact with alternative development pathways, and key trends expected over this century for food demand and production, and trade, as well as key composite indices such as risk of hunger and malnutrition, are computed. This modelling approach connects the relevant bio-physical and socio-economic variables within a unified and coherent framework to produce a global assessment of food production and security under climate change. The results from the study suggest that critical impact asymmetries due to both climate and socio-economic structures may deepen current production and consumption gaps between developed and developing world; it is suggested that adaptation of agricultural techniques will be central to limit potential damages under climate change.
A comprehensive assessment of the impacts of climate change on agro-ecosystems over this century is developed, up to 2080 and at a global level, albeit with significant regional detail. To this end an integrated ecological-economic modelling framework is employed, encompassing climate scenarios, agro-ecological zoning information, socio-economic drivers, as well as world food trade dynamics. Specifically, global simulations are performed using the FAO/IIASA agro-ecological zone model, in conjunction with IIASAs global food system model, using climate variables from five different general circulation models, under four different socio-economic scenarios from the intergovernmental panel on climate change. First, impacts of different scenarios of climate change on bio-physical soil and crop growth determinants of yield are evaluated on a 5' X 5' latitude/longitude global grid; second, the extent of potential agricultural land and related potential crop production is computed. The detailed bio-physical results are then fed into an economic analysis, to assess how climate impacts may interact with alternative development pathways, and key trends expected over this century for food demand and production, and trade, as well as key composite indices such as risk of hunger and malnutrition, are computed. This modelling approach connects the relevant bio-physical and socio-economic variables within a unified and coherent framework to produce a global assessment of food production and security under climate change. The results from the study suggest that critical impact asymmetries due to both climate and socio-economic structures may deepen current production and consumption gaps between developed and developing world; it is suggested that adaptation of agricultural techniques will be central to limit potential damages under climate change.
A comprehensive assessment of the impacts of climate change on agro-ecosystems over this century is developed, up to 2080 and at a global level, albeit with significant regional detail. To this end an integrated ecological-economic modelling framework is employed, encompassing climate scenarios, agro-ecological zoning information, socio-economic drivers, as well as world food trade dynamics. Specifically, global simulations are performed using the FAO/IIASA agro-ecological zone model, in conjunction with IIASAs global food system model, using climate variables from five different general circulation models, under four different socio-economic scenarios from the intergovernmental panel on climate change. First, impacts of different scenarios of climate change on bio-physical soil and crop growth determinants of yield are evaluated on a 5'x5' latitude/longitude global grid; second, the extent of potential agricultural land and related potential crop production is computed. The detailed bio-physical results are then fed into an economic analysis, to assess how climate impacts may interact with alternative development pathways, and key trends expected over this century for food demand and production, and trade, as well as key composite indices such as risk of hunger and malnutrition, are computed. This modelling approach connects the relevant bio-physical and socio-economic variables within a unified and coherent framework to produce a global assessment of food production and security under climate change. The results from the study suggest that critical impact asymmetries due to both climate and socio-economic structures may deepen current production and consumption gaps between developed and developing world; it is suggested that adaptation of agricultural techniques will be central to limit potential damages under climate change.
A comprehensive assessment of the impacts of climate change on agro-ecosystems over this century is developed, up to 2080 and at a global level, albeit with significant regional detail. To this end an integrated ecological-economic modelling framework is employed, encompassing climate scenarios, agro-ecological zoning information, socio-economic drivers, as well as world food trade dynamics. Specifically, global simulations are performed using the FAO/IIASA agro-ecological zone model, in conjunction with IIASAs global food system model, using climate variables from five different general circulation models, under four different socio-economic scenarios from the intergovernmental panel on climate change. First, impacts of different scenarios of climate change on bio-physical soil and crop growth determinants of yield are evaluated on a 5' X 5' latitude/longitude global grid; second, the extent of potential agricultural land and related potential crop production is computed. The detailed bio-physical results are then fed into an economic analysis, to assess how climate impacts may interact with alternative development pathways, and key trends expected over this century for food demand and production, and trade, as well as key composite indices such as risk of hunger and malnutrition, are computed. This modelling approach connects the relevant bio-physical and socioeconomic variables within a unified and coherent framework to produce a global assessment of food production and security under climate change. The results from the study suggest that critical impact asymmetries due to both climate and socio-economic structures may deepen current production and consumption gaps between developed and developing world; it is suggested that adaptation of agricultural techniques will be central to limit potential damages under climate change.
A comprehensive assessment of the impacts of climate change on agro-ecosystems over this century is developed, up to 2080 and at a global level, albeit with significant regional detail. To this end an integrated ecological-economic modelling framework is employed, encompassing climate scenarios, agro-ecological zoning information, socio-economic drivers, as well as world food trade dynamics. Specifically, global simulations are performed using the FAO/IIASA agro-ecological zone model, in conjunction with IIASAs global food system model, using climate variables from five different general circulation models, under four different socio-economic scenarios from the intergovernmental panel on climate change. First, impacts of different scenarios of climate change on bio-physical soil and crop growth determinants of yield are evaluated on a 5' X 5' latitude/longitude global grid; second, the extent of potential agricultural land and related potential crop production is computed. The detailed bio-physical results are then fed into an economic analysis, to assess how climate impacts may interact with alternative development pathways, and key trends expected over this century for food demand and production, and trade, as well as key composite indices such as risk of hunger and malnutrition, are computed. This modelling approach connects the relevant bio-physical and socio-economic variables within a unified and coherent framework to produce a global assessment of food production and security under climate change. The results from the study suggest that critical impact asymmetries due to both climate and socio-economic structures may deepen current production and consumption gaps between developed and developing world; it is suggested that adaptation of agricultural techniques will be central to limit potential damages under climate change.A comprehensive assessment of the impacts of climate change on agro-ecosystems over this century is developed, up to 2080 and at a global level, albeit with significant regional detail. To this end an integrated ecological-economic modelling framework is employed, encompassing climate scenarios, agro-ecological zoning information, socio-economic drivers, as well as world food trade dynamics. Specifically, global simulations are performed using the FAO/IIASA agro-ecological zone model, in conjunction with IIASAs global food system model, using climate variables from five different general circulation models, under four different socio-economic scenarios from the intergovernmental panel on climate change. First, impacts of different scenarios of climate change on bio-physical soil and crop growth determinants of yield are evaluated on a 5' X 5' latitude/longitude global grid; second, the extent of potential agricultural land and related potential crop production is computed. The detailed bio-physical results are then fed into an economic analysis, to assess how climate impacts may interact with alternative development pathways, and key trends expected over this century for food demand and production, and trade, as well as key composite indices such as risk of hunger and malnutrition, are computed. This modelling approach connects the relevant bio-physical and socio-economic variables within a unified and coherent framework to produce a global assessment of food production and security under climate change. The results from the study suggest that critical impact asymmetries due to both climate and socio-economic structures may deepen current production and consumption gaps between developed and developing world; it is suggested that adaptation of agricultural techniques will be central to limit potential damages under climate change.
Author Fischer, Günther
van Velhuizen, Harrij
Shah, Mahendra
N. Tubiello, Francesco
AuthorAffiliation 2 Goddard Institute for Space Studies, Columbia University NY, USA
1 International Institute for Applied Systems Analysis (IIASA) Laxenburg, Austria
AuthorAffiliation_xml – name: 1 International Institute for Applied Systems Analysis (IIASA) Laxenburg, Austria
– name: 2 Goddard Institute for Space Studies, Columbia University NY, USA
Author_xml – sequence: 1
  givenname: Günther
  surname: Fischer
  fullname: Fischer, Günther
  email: fisher@iiasa.ac.at
  organization: International Institute for Applied Systems Analysis (IIASA)Laxenburg, Austria
– sequence: 2
  givenname: Mahendra
  surname: Shah
  fullname: Shah, Mahendra
  organization: International Institute for Applied Systems Analysis (IIASA)Laxenburg, Austria
– sequence: 3
  givenname: Francesco
  surname: N. Tubiello
  fullname: N. Tubiello, Francesco
  organization: International Institute for Applied Systems Analysis (IIASA)Laxenburg, Austria
– sequence: 4
  givenname: Harrij
  surname: van Velhuizen
  fullname: van Velhuizen, Harrij
  organization: International Institute for Applied Systems Analysis (IIASA)Laxenburg, Austria
BackLink https://www.ncbi.nlm.nih.gov/pubmed/16433094$$D View this record in MEDLINE/PubMed
BookMark eNqFks1u1DAUhSNURKeFLTtQVqzIcB07ccyiAlX8SZUQv2JneRwn4yGJB9sBZsc78IY8CTekjBikwsqK7jnHJ_fzSXI0uMEkyW0CSwKieuBDXC1zgGJJOGPXkgVhnGS54HCULECUeVYxWh4nJyFsAEAUnN1IjknJKAXBFol847R1mdFucL3VqRrqVHe2V9Gkeq2G1qS23yodQ-qGVLXe6rGLozcPUZraIZrWo7ZOVQgmhN4M8X5KhIAf377nUMHN5HqjumBuXZ6nybunT96eP88uXj57cf74ItNlVcWsqauigUbThtemwJ41rIQywKlqCKwalRtgRpOKNJBX2jDOKKtLDbXmutaUniZnc-52XPWm1tjDq05uPf6K30mnrDycDHYtW_dZkqLEpeQYcO8ywLtPowlR9jZo03VqMG4MshTAK5EX_xUSjq0LwVB4989K-y6_l48CNgu0dyF400hto4rWTQ1tJwnIibGcGMuJsZwYo235l22ffJWBzgbvdsgAgZu4kxs3-gE_r3bdmV2bEJ3f30EBGKFi2kM2z22I5ut-rvxHWXLKC_m-YhjHX1evPuSSoP7RrF_bdv3FeiMP6vy6HV9hRD6SltiJlRT9JZfN2CHJusEI8s8It9tiyIGZ_gR5lv4M
CitedBy_id crossref_primary_10_1007_s12571_009_0025_z
crossref_primary_10_1016_j_landusepol_2021_105871
crossref_primary_10_3390_su10093357
crossref_primary_10_3390_su10040937
crossref_primary_10_1016_j_worlddev_2018_12_006
crossref_primary_10_2139_ssrn_3231252
crossref_primary_10_1007_s10681_011_0359_4
crossref_primary_10_1016_j_gloenvcha_2012_05_005
crossref_primary_10_1007_s12571_017_0683_1
crossref_primary_10_1186_s40008_023_00320_z
crossref_primary_10_1186_1939_8433_5_10
crossref_primary_10_1007_s00704_008_0030_8
crossref_primary_10_3390_su7010096
crossref_primary_10_1002_ece3_782
crossref_primary_10_1016_j_compag_2016_04_013
crossref_primary_10_3390_agriculture3030398
crossref_primary_10_1007_s43621_025_00848_z
crossref_primary_10_1016_j_chieco_2014_01_001
crossref_primary_10_3389_fsufs_2022_965767
crossref_primary_10_1111_agec_12660
crossref_primary_10_1007_s00704_017_2327_y
crossref_primary_10_1016_j_jhydrol_2018_07_077
crossref_primary_10_1016_j_energy_2022_123885
crossref_primary_10_1007_s10533_012_9802_4
crossref_primary_10_1016_j_jenvman_2018_06_074
crossref_primary_10_3390_su10093218
crossref_primary_10_1371_journal_pone_0249994
crossref_primary_10_1016_j_biombioe_2013_05_003
crossref_primary_10_1016_S2095_3119_13_60307_X
crossref_primary_10_1016_j_envc_2025_101095
crossref_primary_10_3390_w11112360
crossref_primary_10_3390_w7062908
crossref_primary_10_1007_s12571_017_0672_4
crossref_primary_10_1016_j_fcr_2023_109079
crossref_primary_10_3390_atmos4040365
crossref_primary_10_1002_ird_2373
crossref_primary_10_1016_j_agwat_2024_109085
crossref_primary_10_1016_j_gloenvcha_2011_04_010
crossref_primary_10_1111_1365_2664_12526
crossref_primary_10_1360_SSTe_2022_0158
crossref_primary_10_1016_j_jaridenv_2009_04_022
crossref_primary_10_1142_S2010007819500155
crossref_primary_10_1007_s10343_022_00760_w
crossref_primary_10_1093_jxb_eru547
crossref_primary_10_1016_j_scitotenv_2019_06_153
crossref_primary_10_1108_BEPAM_06_2021_0082
crossref_primary_10_1111_agec_12870
crossref_primary_10_1007_s12571_014_0411_z
crossref_primary_10_2139_ssrn_1728549
crossref_primary_10_1016_S2212_5671_12_00035_4
crossref_primary_10_7201_earn_2011_01_06
crossref_primary_10_1002_pa_1960
crossref_primary_10_1111_brv_12225
crossref_primary_10_1016_j_envexpbot_2018_12_018
crossref_primary_10_1016_j_gloenvcha_2007_09_003
crossref_primary_10_1007_s10886_016_0730_y
crossref_primary_10_1016_j_gloplacha_2013_08_010
crossref_primary_10_1007_s00704_023_04431_2
crossref_primary_10_3390_cli7110126
crossref_primary_10_1016_j_gloenvcha_2011_04_007
crossref_primary_10_1016_j_gloplacha_2012_06_004
crossref_primary_10_1016_j_scitotenv_2019_06_161
crossref_primary_10_1007_s10668_014_9546_5
crossref_primary_10_1088_1748_9326_2_1_014002
crossref_primary_10_1016_j_wace_2023_100602
crossref_primary_10_3390_children1030403
crossref_primary_10_1080_02664763_2015_1032216
crossref_primary_10_1007_s10584_016_1600_x
crossref_primary_10_3390_atmos12080978
crossref_primary_10_3390_environments7100076
crossref_primary_10_1007_s10113_011_0205_1
crossref_primary_10_1016_j_agrformet_2011_09_002
crossref_primary_10_3390_ijerph7020546
crossref_primary_10_1007_s12571_016_0636_0
crossref_primary_10_3390_ijerph191811793
crossref_primary_10_1080_1533015X_2018_1431162
crossref_primary_10_1002_pa_1972
crossref_primary_10_1098_rstb_2012_0284
crossref_primary_10_1016_j_envsoft_2015_05_012
crossref_primary_10_1016_j_landusepol_2020_104581
crossref_primary_10_3390_land11060774
crossref_primary_10_1007_s11027_022_10013_w
crossref_primary_10_1111_j_1365_2486_2007_01476_x
crossref_primary_10_1371_journal_pone_0032408
crossref_primary_10_1016_j_jclepro_2022_131885
crossref_primary_10_1007_s11069_020_04151_0
crossref_primary_10_1016_j_ecolmodel_2013_11_020
crossref_primary_10_1016_j_envsci_2014_09_007
crossref_primary_10_1088_1748_9326_9_12_124015
crossref_primary_10_3389_fenvs_2022_878115
crossref_primary_10_1088_1748_9326_9_12_124018
crossref_primary_10_1016_j_aaspro_2010_09_041
crossref_primary_10_5194_bg_19_3021_2022
crossref_primary_10_3390_resources3010182
crossref_primary_10_1057_gpp_2016_6
crossref_primary_10_1002_ajhb_23476
crossref_primary_10_1108_CAER_03_2013_0049
crossref_primary_10_5194_hess_26_827_2022
crossref_primary_10_5377_ribcc_v9i17_16359
crossref_primary_10_1890_10_1993_1
crossref_primary_10_1080_1747423X_2021_2018061
crossref_primary_10_2139_ssrn_2516893
crossref_primary_10_1002_sd_2923
crossref_primary_10_1007_s11269_012_0119_9
crossref_primary_10_1016_j_eja_2006_10_002
crossref_primary_10_1007_s10113_014_0750_5
crossref_primary_10_1371_journal_pone_0183737
crossref_primary_10_1007_s10113_015_0774_5
crossref_primary_10_1016_j_rse_2018_09_008
crossref_primary_10_1088_1748_9326_ab2f57
crossref_primary_10_1080_14735903_2017_1288029
crossref_primary_10_1111_agec_12610
crossref_primary_10_36263_nijest_2019_02_0128
crossref_primary_10_1007_s10666_012_9348_9
crossref_primary_10_1007_s11111_014_0209_0
crossref_primary_10_1590_1519_6984_245206
crossref_primary_10_1111_gcb_12325
crossref_primary_10_3390_su14137682
crossref_primary_10_1088_1748_9326_aaa6dc
crossref_primary_10_1007_s11442_015_1150_6
crossref_primary_10_1002_joc_4354
crossref_primary_10_1016_j_fcr_2016_11_002
crossref_primary_10_1007_s10113_015_0809_y
crossref_primary_10_2478_s11756_014_0463_8
crossref_primary_10_3390_rs14153590
crossref_primary_10_1146_annurev_publhealth_071910_140612
crossref_primary_10_1371_journal_pone_0065589
crossref_primary_10_1007_s00484_021_02118_9
crossref_primary_10_2139_ssrn_2010552
crossref_primary_10_1007_s10745_010_9346_y
crossref_primary_10_1016_j_cliser_2020_100150
crossref_primary_10_1073_pnas_0701728104
crossref_primary_10_1080_00140139_2020_1834624
crossref_primary_10_3390_rs11151745
crossref_primary_10_1080_15427528_2015_1073643
crossref_primary_10_1080_17565529_2019_1585319
crossref_primary_10_1016_j_agsy_2021_103309
crossref_primary_10_1088_1755_1315_681_1_012059
crossref_primary_10_1108_IJCCSM_07_2013_0094
crossref_primary_10_1146_annurev_resource_050708_144246
crossref_primary_10_1007_s00468_018_1748_2
crossref_primary_10_1186_s13705_020_00267_0
crossref_primary_10_1016_j_apgeog_2010_11_017
crossref_primary_10_3390_atmos13081181
crossref_primary_10_1007_s00703_022_00908_3
crossref_primary_10_1155_2012_951215
crossref_primary_10_1038_s43247_024_01638_7
crossref_primary_10_1007_s42106_022_00193_5
crossref_primary_10_1002_ajp_23493
crossref_primary_10_1080_15427528_2014_921800
crossref_primary_10_1007_s11027_012_9441_z
crossref_primary_10_11144_Javeriana_cdr13_78_iscc
crossref_primary_10_1016_j_vetpar_2013_04_005
crossref_primary_10_1089_ind_2020_29222_lpw
crossref_primary_10_1016_j_regsus_2024_100145
crossref_primary_10_1109_JSTARS_2012_2222355
crossref_primary_10_1093_reep_rex012
crossref_primary_10_1007_s10113_014_0620_1
crossref_primary_10_3389_fmicb_2022_1041124
crossref_primary_10_1016_j_crm_2016_01_003
crossref_primary_10_1016_j_eja_2015_08_005
crossref_primary_10_2135_cropsci2016_08_0714
crossref_primary_10_1007_s12517_019_4588_5
crossref_primary_10_1016_j_cosust_2012_01_008
crossref_primary_10_1016_j_fcr_2012_11_023
crossref_primary_10_4236_nr_2013_43034
crossref_primary_10_5018_economics_ejournal_ja_2015_10
crossref_primary_10_1021_es4034149
crossref_primary_10_1002_ldr_3699
crossref_primary_10_1016_j_envc_2025_101123
crossref_primary_10_1029_2021EA001804
crossref_primary_10_1016_j_techfore_2006_05_021
crossref_primary_10_1007_s10584_012_0492_7
crossref_primary_10_1016_j_envdev_2023_100882
crossref_primary_10_1016_j_techfore_2006_05_027
crossref_primary_10_1155_2019_9178136
crossref_primary_10_1016_j_ijdrr_2018_01_017
crossref_primary_10_1155_2013_163248
crossref_primary_10_1016_j_jclepro_2017_01_124
crossref_primary_10_1016_j_atmosres_2023_106731
crossref_primary_10_1016_j_ecolind_2023_110907
crossref_primary_10_1111_ppl_13203
crossref_primary_10_5532_KJAFM_2015_17_1_1
crossref_primary_10_1016_j_ecolecon_2016_11_005
crossref_primary_10_1016_j_ecoser_2016_05_002
crossref_primary_10_1080_09064702_2013_793735
crossref_primary_10_2134_agronj2017_11_0664
crossref_primary_10_3390_su5052129
crossref_primary_10_3390_agriculture6030033
crossref_primary_10_1038_s43016_021_00335_4
crossref_primary_10_1007_s10584_012_0481_x
crossref_primary_10_2166_wcc_2018_029
crossref_primary_10_1016_j_ejrh_2015_08_001
crossref_primary_10_1016_S2095_3119_13_60699_1
crossref_primary_10_1016_j_apenergy_2017_03_006
crossref_primary_10_1111_j_1539_6924_2011_01674_x
crossref_primary_10_1080_09640568_2018_1427561
crossref_primary_10_1016_j_ecoinf_2013_12_005
crossref_primary_10_1016_j_eja_2013_12_009
crossref_primary_10_1088_1748_9326_aa836d
crossref_primary_10_1016_j_ecolecon_2013_08_004
crossref_primary_10_1016_j_agsy_2021_103083
crossref_primary_10_1016_j_ecolecon_2012_11_010
crossref_primary_10_1016_j_resconrec_2020_104724
crossref_primary_10_1007_s00704_013_1037_3
crossref_primary_10_1080_03736245_2012_742783
crossref_primary_10_1002_bbb_2568
crossref_primary_10_1007_s00477_019_01750_7
crossref_primary_10_1111_j_1365_2796_2011_02415_x
crossref_primary_10_1002_wat2_1415
crossref_primary_10_1007_s11111_008_0066_9
crossref_primary_10_2139_ssrn_2818934
crossref_primary_10_1007_s11027_012_9374_6
crossref_primary_10_1093_oxfclm_kgaf008
crossref_primary_10_1016_j_fcr_2013_08_012
crossref_primary_10_1038_nclimate1043
crossref_primary_10_1002_2016GB005374
crossref_primary_10_1038_nmiddleeast_2010_141
crossref_primary_10_1016_j_scitotenv_2020_137381
crossref_primary_10_1146_annurev_energy_32_053006_141119
crossref_primary_10_2747_1548_1603_46_4_424
crossref_primary_10_1016_j_gloei_2020_05_002
crossref_primary_10_1007_s00425_021_03631_2
crossref_primary_10_1007_s10113_015_0810_5
crossref_primary_10_2478_jses_2019_0008
crossref_primary_10_1007_s13593_013_0156_7
crossref_primary_10_2139_ssrn_1806731
crossref_primary_10_1007_s10668_012_9359_3
crossref_primary_10_1007_s10584_016_1801_3
crossref_primary_10_1098_rstb_2010_0153
crossref_primary_10_3389_fenvs_2021_619092
crossref_primary_10_4000_poldev_2274
crossref_primary_10_3389_fsufs_2023_1159901
crossref_primary_10_1016_S1125_4718_24_00499_7
crossref_primary_10_1098_rstb_2009_0201
crossref_primary_10_1016_j_scitotenv_2018_02_234
crossref_primary_10_1016_S0140_6736_07_61256_2
crossref_primary_10_4000_com_6718
crossref_primary_10_1016_j_worlddev_2018_11_009
crossref_primary_10_4236_ojmh_2017_72004
crossref_primary_10_1007_s10584_020_02889_x
crossref_primary_10_1073_pnas_1409769112
crossref_primary_10_1007_s10661_024_12511_7
crossref_primary_10_1016_j_foodres_2014_09_001
crossref_primary_10_1016_j_geoforum_2013_04_004
crossref_primary_10_1007_s11027_021_09954_5
crossref_primary_10_1016_j_agwat_2007_06_003
crossref_primary_10_3390_land10020161
crossref_primary_10_3178_jjshwr_24_292
crossref_primary_10_1007_s12665_014_3104_1
crossref_primary_10_1016_j_gloenvcha_2013_08_005
crossref_primary_10_1007_s42976_020_00011_6
crossref_primary_10_3763_cpol_2007_0466
crossref_primary_10_1016_j_agsy_2016_12_001
crossref_primary_10_1016_j_techfore_2023_123192
crossref_primary_10_1007_s10661_016_5472_3
crossref_primary_10_1007_s11027_015_9677_5
crossref_primary_10_1007_s11111_025_00479_6
crossref_primary_10_1007_s10584_009_9796_7
crossref_primary_10_3390_agronomy10121862
crossref_primary_10_3390_su10103435
crossref_primary_10_1016_j_jeem_2018_10_007
crossref_primary_10_3390_land10030295
crossref_primary_10_1007_s12571_008_0001_z
crossref_primary_10_1016_j_agwat_2007_05_014
crossref_primary_10_1007_s10113_015_0830_1
crossref_primary_10_1016_j_jclepro_2024_141793
crossref_primary_10_1007_s11069_022_05443_3
crossref_primary_10_1016_j_fcr_2018_06_011
crossref_primary_10_1016_S0140_6736_07_61257_4
crossref_primary_10_1007_s10584_016_1791_1
crossref_primary_10_1016_j_indcrop_2023_117352
crossref_primary_10_1007_s10661_014_4254_z
crossref_primary_10_1111_j_1365_2486_2011_02396_x
crossref_primary_10_3389_fpls_2016_01262
crossref_primary_10_4018_jagr_2013040104
crossref_primary_10_1016_j_cj_2020_05_001
crossref_primary_10_3402_gha_v6i0_19538
crossref_primary_10_1002_wcc_19
crossref_primary_10_1007_s10113_013_0542_3
crossref_primary_10_1111_j_1467_2979_2008_00310_x
crossref_primary_10_3390_su11226271
crossref_primary_10_1007_s11027_025_10199_9
crossref_primary_10_5194_gmd_6_495_2013
crossref_primary_10_1016_j_agrformet_2018_02_011
crossref_primary_10_1098_rstb_2010_0158
crossref_primary_10_3390_su71114729
crossref_primary_10_1016_j_ecoinf_2023_102038
crossref_primary_10_1016_j_esg_2023_100164
crossref_primary_10_1016_j_scitotenv_2013_05_092
crossref_primary_10_1073_pnas_0701976104
crossref_primary_10_1111_j_1757_1707_2010_01040_x
crossref_primary_10_1007_s11356_020_08771_8
crossref_primary_10_3390_agriculture12070980
crossref_primary_10_1080_23322039_2017_1323372
crossref_primary_10_1007_s10457_012_9520_x
crossref_primary_10_1371_journal_pone_0231764
crossref_primary_10_1007_s11111_020_00349_3
crossref_primary_10_1016_j_wre_2014_03_001
crossref_primary_10_1111_j_1728_4457_2008_00225_x
crossref_primary_10_1016_j_crope_2022_03_006
crossref_primary_10_35885_1684_7318_2023_2_179_195
crossref_primary_10_1007_s10584_014_1296_8
crossref_primary_10_1111_gcb_17114
crossref_primary_10_1111_geb_12100
crossref_primary_10_1108_SRJ_05_2020_0214
crossref_primary_10_1080_17565529_2021_1951644
crossref_primary_10_4018_IJAGR_2019070104
crossref_primary_10_1016_j_agsy_2019_02_013
crossref_primary_10_1080_14735903_2014_945317
crossref_primary_10_1016_j_scitotenv_2016_12_158
crossref_primary_10_1108_IJCCSM_01_2014_0005
crossref_primary_10_1111_j_1755_263X_2010_00128_x
crossref_primary_10_1007_s11069_018_3523_5
crossref_primary_10_46790_erzisosbil_1328829
crossref_primary_10_1016_j_agrformet_2013_10_012
crossref_primary_10_1016_j_fcr_2018_05_012
crossref_primary_10_3389_fsufs_2023_1291866
crossref_primary_10_1016_j_foodpol_2013_08_007
crossref_primary_10_2135_cropsci2016_06_0562
crossref_primary_10_1073_pnas_0706680105
crossref_primary_10_1007_s12571_009_0009_z
crossref_primary_10_1080_13669877_2011_571794
crossref_primary_10_1093_jae_ejw005
crossref_primary_10_1002_pa_2016
crossref_primary_10_1007_s10806_011_9336_0
crossref_primary_10_3389_ffgc_2022_1095784
crossref_primary_10_1007_s12571_013_0262_z
crossref_primary_10_1017_S037689291500020X
crossref_primary_10_2139_ssrn_2064716
crossref_primary_10_1002_2017EF000690
crossref_primary_10_1111_nyas_12552
crossref_primary_10_3390_horticulturae3010010
crossref_primary_10_1080_10920277_2019_1618340
crossref_primary_10_1029_2020GL087360
crossref_primary_10_3390_su10124537
crossref_primary_10_1007_s11356_016_7657_2
crossref_primary_10_1021_es5051748
crossref_primary_10_1155_2014_640320
crossref_primary_10_1007_s40003_015_0160_z
crossref_primary_10_1016_j_fcr_2011_07_015
crossref_primary_10_1061__ASCE_HE_1943_5584_0000866
crossref_primary_10_1007_s10113_007_0032_6
crossref_primary_10_1007_s10584_009_9561_y
crossref_primary_10_1088_1755_1315_1433_1_012010
crossref_primary_10_1080_03906701_2019_1641274
crossref_primary_10_3390_su13031580
crossref_primary_10_1146_annurev_environ_020411_130608
crossref_primary_10_1016_j_foodpol_2011_11_001
crossref_primary_10_1007_s10584_009_9781_1
crossref_primary_10_1007_s10668_010_9278_0
crossref_primary_10_4236_ajcc_2015_44025
crossref_primary_10_1007_s13143_017_0048_x
crossref_primary_10_5194_esd_15_817_2024
crossref_primary_10_1371_journal_pone_0172301
crossref_primary_10_1088_1748_9326_abd970
crossref_primary_10_54753_cedamaz_v14i2_2212
crossref_primary_10_3390_world4030025
crossref_primary_10_1016_j_fcr_2022_108593
crossref_primary_10_1142_S2010007821500111
crossref_primary_10_1080_10407782_2024_2302671
crossref_primary_10_1016_j_agrformet_2016_01_001
crossref_primary_10_3390_su16051851
crossref_primary_10_1007_s10584_020_02869_1
crossref_primary_10_1016_j_fcr_2019_107590
crossref_primary_10_1016_j_indcrop_2022_115838
crossref_primary_10_1111_j_1365_2486_2011_02601_x
crossref_primary_10_1111_1467_8489_12048
crossref_primary_10_1016_j_fcr_2017_02_013
crossref_primary_10_1016_j_agsy_2017_04_006
crossref_primary_10_1016_j_rser_2017_03_093
crossref_primary_10_1080_24694452_2020_1800300
crossref_primary_10_1016_j_gfs_2016_08_003
crossref_primary_10_26710_jafee_v5i1_724
crossref_primary_10_1111_gcb_13061
crossref_primary_10_1111_j_1469_8137_2008_02500_x
crossref_primary_10_1016_j_agee_2009_02_004
crossref_primary_10_1016_j_scitotenv_2020_138935
crossref_primary_10_1007_s11769_011_0479_8
crossref_primary_10_1007_s10113_018_1380_0
crossref_primary_10_1016_j_agsy_2017_05_013
crossref_primary_10_1017_S0021859611000839
crossref_primary_10_1017_S1742170522000424
crossref_primary_10_1029_2020JD032798
crossref_primary_10_1016_j_jeem_2018_01_005
crossref_primary_10_1002_2017GL073606
crossref_primary_10_1088_1748_9326_10_12_125004
crossref_primary_10_1002_wene_55
crossref_primary_10_1080_10440046_2012_712089
crossref_primary_10_1016_j_landusepol_2019_104189
crossref_primary_10_1007_s11356_013_2004_3
crossref_primary_10_1016_j_jenvman_2023_118738
crossref_primary_10_1007_s10708_024_11233_0
crossref_primary_10_1016_j_agsy_2017_05_009
crossref_primary_10_3389_fpls_2015_00684
crossref_primary_10_1007_s10584_011_0149_y
crossref_primary_10_1016_j_gloenvcha_2020_102186
crossref_primary_10_1016_j_landusepol_2020_104923
crossref_primary_10_1016_j_jclepro_2018_03_319
crossref_primary_10_1007_s10661_023_12055_2
crossref_primary_10_3390_agriculture12111787
crossref_primary_10_1016_j_eiar_2023_107136
crossref_primary_10_1007_s00704_022_04233_y
crossref_primary_10_1371_journal_pone_0079296
crossref_primary_10_1016_j_agwat_2010_03_001
crossref_primary_10_1007_s10750_025_05854_w
crossref_primary_10_1080_02286203_2017_1368843
crossref_primary_10_1016_j_resenv_2025_100200
crossref_primary_10_1016_j_gloenvcha_2008_10_006
crossref_primary_10_2208_jscejer_70_I_1
crossref_primary_10_1016_j_envsoft_2014_12_003
crossref_primary_10_5194_esd_5_117_2014
crossref_primary_10_1371_journal_pone_0163916
crossref_primary_10_5194_nhess_13_1351_2013
crossref_primary_10_3390_agriculture11060569
crossref_primary_10_1016_j_agwat_2018_10_045
crossref_primary_10_1016_j_heliyon_2024_e35134
crossref_primary_10_1016_j_ejor_2020_02_012
crossref_primary_10_1016_j_scitotenv_2016_11_092
crossref_primary_10_3390_land10121339
crossref_primary_10_1007_s12665_011_1311_6
crossref_primary_10_1016_j_gloenvcha_2011_09_002
crossref_primary_10_1007_s10584_007_9249_0
crossref_primary_10_1002_wcc_194
crossref_primary_10_3390_agronomy13102571
crossref_primary_10_1016_j_wace_2020_100288
crossref_primary_10_1093_jae_eju011
crossref_primary_10_1016_j_ijhm_2019_102432
crossref_primary_10_1016_j_ecoinf_2021_101324
crossref_primary_10_1016_j_envdev_2012_11_001
crossref_primary_10_1038_s41558_021_01164_w
crossref_primary_10_3763_cdev_2010_0029
crossref_primary_10_1073_pnas_0912953109
crossref_primary_10_1088_1755_1315_54_1_012005
crossref_primary_10_1016_j_techfore_2009_11_004
crossref_primary_10_19047_0136_1694_2019_98_5_36
crossref_primary_10_1111_grs_12220
crossref_primary_10_1016_j_agsy_2013_03_002
crossref_primary_10_1016_j_agsy_2013_12_006
crossref_primary_10_1016_j_agsy_2018_05_013
crossref_primary_10_1016_j_ecolecon_2014_12_025
crossref_primary_10_1093_jxb_erq100
crossref_primary_10_2139_ssrn_2543940
crossref_primary_10_18034_ajtp_v4i3_425
crossref_primary_10_3390_agriculture10070268
crossref_primary_10_1002_joc_5764
crossref_primary_10_3390_agriculture14010004
crossref_primary_10_1080_10807039_2016_1162089
crossref_primary_10_1016_j_agrformet_2006_12_009
crossref_primary_10_3389_fsufs_2021_691191
crossref_primary_10_1016_j_cliser_2022_100307
crossref_primary_10_1016_j_fcr_2016_06_010
crossref_primary_10_1007_s11430_022_1114_5
crossref_primary_10_3390_plants13111520
crossref_primary_10_3390_su12072783
crossref_primary_10_1007_s11027_014_9626_8
crossref_primary_10_1016_j_scitotenv_2020_136626
crossref_primary_10_3390_land13081156
crossref_primary_10_3390_plants11151909
crossref_primary_10_20965_jdr_2011_p0486
crossref_primary_10_1088_1742_6596_979_1_012092
crossref_primary_10_2139_ssrn_1031206
crossref_primary_10_1016_j_envsoft_2016_08_016
crossref_primary_10_1016_j_scitotenv_2017_06_002
crossref_primary_10_1080_19320248_2014_908447
crossref_primary_10_3390_rs14102399
crossref_primary_10_1016_j_eja_2013_01_005
crossref_primary_10_1016_j_biombioe_2011_04_035
crossref_primary_10_3389_fsufs_2021_663863
crossref_primary_10_1175_WCAS_D_15_0071_1
crossref_primary_10_3390_su13010379
crossref_primary_10_1177_1464993414521487
crossref_primary_10_3390_su132212663
crossref_primary_10_1525_bio_2013_63_2_6
crossref_primary_10_2135_cropsci2009_10_0594
crossref_primary_10_1007_s11027_012_9446_7
crossref_primary_10_1016_j_envsci_2009_02_005
crossref_primary_10_1007_s10113_021_01812_z
crossref_primary_10_1016_j_agrformet_2014_09_026
crossref_primary_10_1016_j_envsci_2009_02_001
crossref_primary_10_1093_jxb_erp196
crossref_primary_10_1007_s10113_015_0890_2
crossref_primary_10_1007_s12571_009_0042_y
crossref_primary_10_1007_s13580_016_0133_6
crossref_primary_10_1007_s10584_013_0795_3
crossref_primary_10_1016_j_heliyon_2019_e01266
crossref_primary_10_2139_ssrn_2331369
crossref_primary_10_1002_inc3_81
crossref_primary_10_1098_rstb_2005_1745
crossref_primary_10_1080_24749508_2019_1700670
crossref_primary_10_1016_j_ijdrr_2020_101708
crossref_primary_10_1016_j_agsy_2015_08_010
crossref_primary_10_5194_esd_9_393_2018
crossref_primary_10_1007_s12517_024_11871_1
crossref_primary_10_36265_arejoen_2023_060106
crossref_primary_10_1093_jxb_erp080
crossref_primary_10_1016_j_eja_2013_09_014
crossref_primary_10_1016_j_habitatint_2024_103211
crossref_primary_10_1002_joc_3892
crossref_primary_10_1016_j_agwat_2021_106837
crossref_primary_10_1093_jxb_erq053
crossref_primary_10_1155_2019_2767018
crossref_primary_10_1007_s00704_012_0780_1
crossref_primary_10_1017_S0021859617000016
crossref_primary_10_1016_j_agrformet_2006_10_006
crossref_primary_10_1098_rstb_2005_1755
crossref_primary_10_1016_j_isprsjprs_2020_06_022
crossref_primary_10_34020_2073_6495_2020_1_010_023
crossref_primary_10_1016_j_agrformet_2012_05_020
crossref_primary_10_1002_fes3_417
crossref_primary_10_1016_j_agrformet_2012_11_017
crossref_primary_10_1007_s42452_021_04512_9
crossref_primary_10_1007_s10668_023_03391_x
crossref_primary_10_1080_09064710_2015_1093654
crossref_primary_10_1007_s11356_018_3925_7
crossref_primary_10_1007_s11707_012_0318_y
crossref_primary_10_1073_pnas_1222465110
crossref_primary_10_1016_j_jhydrol_2025_133137
crossref_primary_10_1111_geoa_12137
crossref_primary_10_1007_s12517_017_3264_x
crossref_primary_10_1016_j_jclepro_2018_06_221
crossref_primary_10_1007_s13753_012_0010_6
crossref_primary_10_1016_j_worlddev_2012_08_002
crossref_primary_10_1016_j_scitotenv_2017_11_136
crossref_primary_10_3390_genes13030488
crossref_primary_10_2208_jscejer_68_I_227
crossref_primary_10_1016_j_gecco_2020_e01313
crossref_primary_10_3390_land11081149
crossref_primary_10_1088_1755_1315_648_1_012162
crossref_primary_10_1016_j_foodpol_2014_10_003
crossref_primary_10_1016_j_envsci_2009_03_001
crossref_primary_10_1007_s10479_016_2258_5
crossref_primary_10_1016_j_scitotenv_2017_11_006
crossref_primary_10_31497_zrzyxb_20210606
Cites_doi 10.1007/s003820050009
10.1016/S1161-0301(02)00097-7
10.1175/1520-0485(1993)023<0808:SOTACW>2.0.CO;2
10.3354/cr020259
10.1016/S0959-3780(99)00018-7
10.1046/j.1469-8137.2002.00494.x
10.1111/j.1600-0889.2004.00097.x
10.1111/j.1469-8137.2004.01224.x
10.1016/S0167-8809(01)00182-7
10.1175/1520-0493(1997)125<0875:TCCITC>2.0.CO;2
10.1016/S0959-3780(01)00011-5
10.1029/96GL03234
10.1007/s003820050339
10.1016/j.gloenvcha.2003.10.008
10.1016/S1161-0301(02)00004-7
10.1016/S0065-2113(02)77017-X
10.1023/A:1022103315424
10.1016/S0959-3780(02)00008-0
10.1007/s003820000079
10.1007/s003820050010
10.1038/367133a0
10.1016/0959-3780(94)90018-3
ContentType Journal Article
Copyright Copyright 2005 Royal Society
2005 The Royal Society
2005 The Royal Society 2005
Copyright_xml – notice: Copyright 2005 Royal Society
– notice: 2005 The Royal Society
– notice: 2005 The Royal Society 2005
DBID BSCLL
AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7TG
KL.
7X8
5PM
DOI 10.1098/rstb.2005.1744
DatabaseName Istex
CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
Meteorological & Geoastrophysical Abstracts
Meteorological & Geoastrophysical Abstracts - Academic
MEDLINE - Academic
PubMed Central (Full Participant titles)
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
Meteorological & Geoastrophysical Abstracts - Academic
Meteorological & Geoastrophysical Abstracts
MEDLINE - Academic
DatabaseTitleList CrossRef


MEDLINE
Meteorological & Geoastrophysical Abstracts - Academic

MEDLINE - Academic


Database_xml – sequence: 1
  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: 2
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
Sciences (General)
Biology
Agriculture
EISSN 1471-2970
EndPage 2083
ExternalDocumentID PMC1569572
16433094
10_1098_rstb_2005_1744
30041395
ark_67375_V84_207R8QX2_1
royptb_360_1463_2067
Genre Research Support, U.S. Gov't, Non-P.H.S
Research Support, Non-U.S. Gov't
Journal Article
GeographicLocations FAO
GeographicLocations_xml – name: FAO
GroupedDBID -
02
0R
29O
2WC
4.4
53G
8RP
ABBHK
ABFLS
ABPTK
ABXXB
ACPRK
ADACO
ADBBV
ADULT
ADZLD
AEUPB
AFRAH
AGCAB
ALMA_UNASSIGNED_HOLDINGS
AS
BAWUL
BGBPD
CAG
COF
DCCCD
DIK
DNJUQ
DOOOF
DWIUU
E3Z
EBS
EJD
F5P
GX1
H13
HQ3
HTVGU
HYE
HZ
JLS
JPM
JSG
JSODD
JST
K-O
KQ8
MV1
MVM
O0-
O9-
OK1
OP1
RHF
ROL
RPM
RRY
SA0
TN5
V1E
WOQ
X
XHC
YNT
---
-~X
0R~
AACGO
AANCE
ABPLY
ABTLG
ABXSQ
ACQIA
ACSFO
ADACV
AEXZC
AJZGM
ALMYZ
AOIJS
AQVQM
AS~
BSCLL
BTFSW
HZ~
IPSME
JAAYA
JBMMH
JENOY
JHFFW
JKQEH
JLXEF
MRS
W8F
WHG
~02
ACHIC
ACRPL
ADNMO
ADQXQ
AGPVY
AGQPQ
AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7TG
KL.
7X8
5PM
ID FETCH-LOGICAL-c688t-fd85f0fc3f7de5009d0b9ae073af10bfa2e04ec181f028ce47434d6c0dc7cdc33
ISSN 0962-8436
IngestDate Thu Aug 21 18:23:41 EDT 2025
Fri Jul 11 00:48:20 EDT 2025
Fri Jul 11 14:15:54 EDT 2025
Wed Feb 19 02:07:20 EST 2025
Thu Apr 24 22:54:38 EDT 2025
Tue Jul 01 00:20:51 EDT 2025
Wed Jan 17 02:37:28 EST 2024
Thu Jul 03 21:17:25 EDT 2025
Wed Oct 30 09:42:44 EDT 2024
Tue Jan 05 21:29:14 EST 2021
Mon May 06 10:44:25 EDT 2019
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1463
Language English
License https://royalsociety.org/journals/ethics-policies/data-sharing-mining
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c688t-fd85f0fc3f7de5009d0b9ae073af10bfa2e04ec181f028ce47434d6c0dc7cdc33
Notes ark:/67375/V84-207R8QX2-1
istex:EF9C8783C2B6DAA460BF3A3B268D11CCD5DC7458
href:2067.pdf
ArticleID:rstb20051744
Discussion Meeting Issue 'Food crops in a changing climate' organized by T. R. Wheeler, A. J. Challinor, J. M. Slingo and B. J. Hoskins
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
OpenAccessLink http://doi.org/10.1098/rstb.2005.1744
PMID 16433094
PQID 17073594
PQPubID 23462
PageCount 17
ParticipantIDs pubmed_primary_16433094
jstor_primary_30041395
istex_primary_ark_67375_V84_207R8QX2_1
proquest_miscellaneous_69078925
crossref_citationtrail_10_1098_rstb_2005_1744
proquest_miscellaneous_17073594
royalsociety_journals_10_1098_rstb_2005_1744
pubmedcentral_primary_oai_pubmedcentral_nih_gov_1569572
highwire_royalsociety_royptb_360_1463_2067
crossref_primary_10_1098_rstb_2005_1744
ProviderPackageCode RHF
CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2005-11-29
PublicationDateYYYYMMDD 2005-11-29
PublicationDate_xml – month: 11
  year: 2005
  text: 2005-11-29
  day: 29
PublicationDecade 2000
PublicationPlace London
PublicationPlace_xml – name: London
– name: England
PublicationTitle Philosophical transactions of the Royal Society of London. Series B. Biological sciences
PublicationTitleAlternate Philos Trans R Soc Lond B Biol Sci
PublicationYear 2005
Publisher The Royal Society
Publisher_xml – name: The Royal Society
References e_1_3_2_27_1
e_1_3_2_28_1
e_1_3_2_42_1
e_1_3_2_20_1
e_1_3_2_41_1
e_1_3_2_21_1
e_1_3_2_43_1
e_1_3_2_23_1
e_1_3_2_24_1
e_1_3_2_45_1
e_1_3_2_25_1
Reilly J (e_1_3_2_29_1) 2001
e_1_3_2_26_1
e_1_3_2_40_1
Watson R.T (e_1_3_2_44_1) 2000
e_1_3_2_16_1
e_1_3_2_39_1
e_1_3_2_9_1
e_1_3_2_17_1
e_1_3_2_38_1
e_1_3_2_18_1
e_1_3_2_7_1
e_1_3_2_19_1
e_1_3_2_2_1
e_1_3_2_31_1
e_1_3_2_30_1
Fischer G (e_1_3_2_8_1) 1996
e_1_3_2_10_1
e_1_3_2_33_1
e_1_3_2_11_1
e_1_3_2_32_1
e_1_3_2_6_1
e_1_3_2_12_1
e_1_3_2_35_1
e_1_3_2_5_1
e_1_3_2_13_1
e_1_3_2_34_1
e_1_3_2_14_1
e_1_3_2_37_1
e_1_3_2_3_1
FAO (e_1_3_2_4_1) 2003
e_1_3_2_15_1
e_1_3_2_36_1
Nakicenovic N (e_1_3_2_22_1) 2003; 14
Williams J.R (e_1_3_2_46_1) 1984; 8
References_xml – ident: e_1_3_2_28_1
  doi: 10.1007/s003820050009
– ident: e_1_3_2_36_1
– ident: e_1_3_2_39_1
– ident: e_1_3_2_41_1
  doi: 10.1016/S1161-0301(02)00097-7
– ident: e_1_3_2_17_1
– start-page: 115
  volume-title: xxx
  year: 1996
  ident: e_1_3_2_8_1
– ident: e_1_3_2_23_1
  doi: 10.1175/1520-0485(1993)023<0808:SOTACW>2.0.CO;2
– ident: e_1_3_2_10_1
– ident: e_1_3_2_40_1
  doi: 10.3354/cr020259
– start-page: 379
  volume-title: Climate change impacts on the United States: foundation, USGCRP
  year: 2001
  ident: e_1_3_2_29_1
– volume-title: Special report of the intergovernmental panel on climate change
  year: 2000
  ident: e_1_3_2_44_1
– ident: e_1_3_2_32_1
– ident: e_1_3_2_25_1
  doi: 10.1016/S0959-3780(99)00018-7
– ident: e_1_3_2_16_1
– ident: e_1_3_2_19_1
  doi: 10.1046/j.1469-8137.2002.00494.x
– ident: e_1_3_2_21_1
– ident: e_1_3_2_5_1
  doi: 10.1111/j.1600-0889.2004.00097.x
– start-page: 432
  volume-title: A FAO perspective
  year: 2003
  ident: e_1_3_2_4_1
– ident: e_1_3_2_18_1
– ident: e_1_3_2_2_1
  doi: 10.1111/j.1469-8137.2004.01224.x
– ident: e_1_3_2_6_1
  doi: 10.1016/S0167-8809(01)00182-7
– ident: e_1_3_2_9_1
– ident: e_1_3_2_38_1
– volume: 8
  start-page: 381
  year: 1984
  ident: e_1_3_2_46_1
  article-title: EPIC—a new model for assessing erosion's effect on soil productivity
  publication-title: J. Soil Water Conserv
– ident: e_1_3_2_13_1
  doi: 10.1175/1520-0493(1997)125<0875:TCCITC>2.0.CO;2
– ident: e_1_3_2_26_1
  doi: 10.1016/S0959-3780(01)00011-5
– ident: e_1_3_2_31_1
– ident: e_1_3_2_34_1
– ident: e_1_3_2_15_1
  doi: 10.1029/96GL03234
– ident: e_1_3_2_3_1
– ident: e_1_3_2_12_1
  doi: 10.1007/s003820050339
– ident: e_1_3_2_27_1
  doi: 10.1016/j.gloenvcha.2003.10.008
– ident: e_1_3_2_24_1
  doi: 10.1016/S1161-0301(02)00004-7
– ident: e_1_3_2_20_1
  doi: 10.1016/S0065-2113(02)77017-X
– ident: e_1_3_2_30_1
  doi: 10.1023/A:1022103315424
– ident: e_1_3_2_35_1
  doi: 10.1016/S0959-3780(02)00008-0
– ident: e_1_3_2_11_1
– volume: 14
  start-page: 187
  year: 2003
  ident: e_1_3_2_22_1
  article-title: IPCC SRES revisited: a response
  publication-title: Clim. Change
– ident: e_1_3_2_42_1
– ident: e_1_3_2_43_1
  doi: 10.1007/s003820000079
– ident: e_1_3_2_14_1
  doi: 10.1007/s003820050010
– ident: e_1_3_2_33_1
  doi: 10.1038/367133a0
– ident: e_1_3_2_7_1
  doi: 10.1016/0959-3780(94)90018-3
– ident: e_1_3_2_37_1
– ident: e_1_3_2_45_1
SSID ssj0009574
Score 2.422449
Snippet A comprehensive assessment of the impacts of climate change on agro-ecosystems over this century is developed, up to 2080 and at a global level, albeit with...
A comprehensive assessment of the impacts of climate change on agro-ecosystems over this century is developed, up to 2080 and at a global level, albeit with...
SourceID pubmedcentral
proquest
pubmed
crossref
royalsociety
jstor
istex
highwire
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 2067
SubjectTerms Agricultural land
Agriculture
Agriculture - economics
Agriculture - methods
Agroecology
Biometry
Climate
Climate Change
Climate models
Crop Production
Developing countries
Food crops
Food Security
Food Supply
Forecasting
Global climate models
Global Health
Humans
Modeling
Models, Theoretical
Population Growth
Risk Of Hunger
Socioeconomic Factors
Socioeconomics
Sub-Saharan Africa
Title Socio-economic and climate change impacts on agriculture: an integrated assessment, 1990–2080
URI http://rstb.royalsocietypublishing.org/content/360/1463/2067.abstract
https://api.istex.fr/ark:/67375/V84-207R8QX2-1/fulltext.pdf
https://www.jstor.org/stable/30041395
https://royalsocietypublishing.org/doi/full/10.1098/rstb.2005.1744
https://www.ncbi.nlm.nih.gov/pubmed/16433094
https://www.proquest.com/docview/17073594
https://www.proquest.com/docview/69078925
https://pubmed.ncbi.nlm.nih.gov/PMC1569572
Volume 360
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnR3ZbtNAcFXKIXhANFAwpx8QUFoH3wdvbQVUoFYUpVVekLXeXZNA5VR2IkG_nhnvro8qkQovVmKPLXvu2Z2DkJcB52CHs9BikeNbfmQHFnVcZrEMjCXwM2UUA8XDo_DgxP88DsZr1250spYW82zILpbWlfwPVeEc0BWrZP-Bss1D4QT8BvrCESgMxyvRuK42sYSqLZYlamdT8EGFKuhVRZD1lgD9Uao-G3U5Oi3aVhF8mzYNOhHnDhgPQIEcfqRd16966EFN1nk7Z7zSeQZyKULngeLmQz0rZIgKCQLy7b2hGn3ZlmKyTv3JtNIM9Am37_f2C3ROmyWgCZ3I4qKJKHjZWJOj4fZokU31HlI9KERUbKavY33WqTibLKYXUsMe0LKc_uytdgRY9ue2OnV0-WO6C5oh6HbfU421pToH0wu3y9EkWt97coCBZmxfKVilwG05HUQ5A4Bqb6mhsRMsngAHPZPrchDY-a1J1WkElyxtk_9Iy1-YUBcF6Wnsp64dfYuPx24KUfx1kJDa0f9yHHeaR8tu4voLm-aj8bv-G_SdK93wGuIuVBm_dcrtsmBqSU5wiXiuJJo7PtfoHrmrgiVzV3L-BlkTxYDc2W0ZeUBuSo76MyC3DlWayIBsKItVmW9UW_Wt--R7X1pMkBZTSYsppcVU0mLOCrMjLe8B1GxlxWxlZcdsJOUBOfn4YbR_YKnhIhYL43hu5TwOcjtnXh5xEQCOuZ0lVIDFo7ljZzl1he0LBg5wDi44Ez642j4Pmc1ZxDjzvE2yXswK8YiYLLQj6vA8DhnmMfAkiT3bx54omZO7PDOIpamSMtV5HwfAnKUyAyROkYo4EDZIkYoGed3An8ueMysh32oip11y4Z9zAARWx9jeS5GtDZKsAMZnYmUMzvXu3ZLiHmB6znODvKpZqHmfVRxskM2axxrAuqOflwQGeaGZLgULhtuStBCzRQUfAkgPEn81BK7gxYkLz3gombRFCwRUno33Rj32bQCwe37_SjGd1F30nSAEuXINstNDhlLv1QqMP74qIp6Q263-ekrW5-VCPIP4ZZ49r4X7Lx4-RyU
linkProvider Colorado Alliance of Research Libraries
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=Socio-economic+and+climate+change+impacts+on+agriculture%3A+an+integrated+assessment%2C+1990-2080&rft.jtitle=Philosophical+transactions+of+the+Royal+Society+of+London.+Series+B.+Biological+sciences&rft.au=Fischer%2C+G%C3%BCnther&rft.au=Shah%2C+Mahendra&rft.au=N.+Tubiello%2C+Francesco&rft.au=van+Velhuizen%2C+Harrij&rft.date=2005-11-29&rft.pub=The+Royal+Society&rft.issn=0962-8436&rft.eissn=1471-2970&rft.volume=360&rft.issue=1463&rft.spage=2067&rft.epage=2083&rft_id=info:doi/10.1098%2Frstb.2005.1744&rft.externalDBID=n%2Fa&rft.externalDocID=ark_67375_V84_207R8QX2_1
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0962-8436&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0962-8436&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0962-8436&client=summon