Post‐socialist cropland changes and abandonment in Mongolia

Large‐scale cropland changes have significant implications for global and national food supply as well as degradation in land resources. We examined cropland dynamics at the national scale in Mongolia over the last three decades using Google Earth Engine cloud computing and 11,360 Landsat satellite...

Full description

Saved in:
Bibliographic Details
Published inLand degradation & development Vol. 29; no. 9; pp. 2808 - 2821
Main Authors Sankey, Temuulen Tsagaan, Massey, Richard, Yadav, Kamini, Congalton, Russell G., Tilton, James C.
Format Journal Article
LanguageEnglish
Published Chichester Wiley Subscription Services, Inc 01.09.2018
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Large‐scale cropland changes have significant implications for global and national food supply as well as degradation in land resources. We examined cropland dynamics at the national scale in Mongolia over the last three decades using Google Earth Engine cloud computing and 11,360 Landsat satellite images. Our overarching goal was to develop the first comprehensive, high‐resolution maps of Mongolia's cropland extent for two nominal years: 1990 at the peak of the socialist era production and 2014 after major socio‐political and economic regime changes. By comparing the two cropland maps, we estimate cropland changes and identify areas of post‐socialist cropland abandonment. Our cropland classifications produce high overall accuracies (overall weighted, statistical accuracies of 98% and 97%, respectively), and the cropland area estimates compare well with county‐level crop area statistics (R2 = 0.91, p value < .001). We estimate 38% cropland decline in Mongolia throughout the major crop regions but 18% increase in the central region due to increased concentration of crop production. The observed large‐scale cropland abandonment would be expected to result in substantial land conversion to rangelands as well as land degradation in the abandoned fields, including soil erosion, increased contribution to desertification, and reduced species diversity. Future studies can monitor the long‐term trajectory in the abandoned crop fields and recommend targeted restoration strategies.
AbstractList Large‐scale cropland changes have significant implications for global and national food supply as well as degradation in land resources. We examined cropland dynamics at the national scale in Mongolia over the last three decades using Google Earth Engine cloud computing and 11,360 Landsat satellite images. Our overarching goal was to develop the first comprehensive, high‐resolution maps of Mongolia's cropland extent for two nominal years: 1990 at the peak of the socialist era production and 2014 after major socio‐political and economic regime changes. By comparing the two cropland maps, we estimate cropland changes and identify areas of post‐socialist cropland abandonment. Our cropland classifications produce high overall accuracies (overall weighted, statistical accuracies of 98% and 97%, respectively), and the cropland area estimates compare well with county‐level crop area statistics (R2 = 0.91, p value < .001). We estimate 38% cropland decline in Mongolia throughout the major crop regions but 18% increase in the central region due to increased concentration of crop production. The observed large‐scale cropland abandonment would be expected to result in substantial land conversion to rangelands as well as land degradation in the abandoned fields, including soil erosion, increased contribution to desertification, and reduced species diversity. Future studies can monitor the long‐term trajectory in the abandoned crop fields and recommend targeted restoration strategies.
Large‐scale cropland changes have significant implications for global and national food supply as well as degradation in land resources. We examined cropland dynamics at the national scale in Mongolia over the last three decades using Google Earth Engine cloud computing and 11,360 Landsat satellite images. Our overarching goal was to develop the first comprehensive, high‐resolution maps of Mongolia's cropland extent for two nominal years: 1990 at the peak of the socialist era production and 2014 after major socio‐political and economic regime changes. By comparing the two cropland maps, we estimate cropland changes and identify areas of post‐socialist cropland abandonment. Our cropland classifications produce high overall accuracies (overall weighted, statistical accuracies of 98% and 97%, respectively), and the cropland area estimates compare well with county‐level crop area statistics ( R 2  = 0.91, p value < .001). We estimate 38% cropland decline in Mongolia throughout the major crop regions but 18% increase in the central region due to increased concentration of crop production. The observed large‐scale cropland abandonment would be expected to result in substantial land conversion to rangelands as well as land degradation in the abandoned fields, including soil erosion, increased contribution to desertification, and reduced species diversity. Future studies can monitor the long‐term trajectory in the abandoned crop fields and recommend targeted restoration strategies.
Large‐scale cropland changes have significant implications for global and national food supply as well as degradation in land resources. We examined cropland dynamics at the national scale in Mongolia over the last three decades using Google Earth Engine cloud computing and 11,360 Landsat satellite images. Our overarching goal was to develop the first comprehensive, high‐resolution maps of Mongolia's cropland extent for two nominal years: 1990 at the peak of the socialist era production and 2014 after major socio‐political and economic regime changes. By comparing the two cropland maps, we estimate cropland changes and identify areas of post‐socialist cropland abandonment. Our cropland classifications produce high overall accuracies (overall weighted, statistical accuracies of 98% and 97%, respectively), and the cropland area estimates compare well with county‐level crop area statistics (R2 = 0.91, p value < .001). We estimate 38% cropland decline in Mongolia throughout the major crop regions but 18% increase in the central region due to increased concentration of crop production. The observed large‐scale cropland abandonment would be expected to result in substantial land conversion to rangelands as well as land degradation in the abandoned fields, including soil erosion, increased contribution to desertification, and reduced species diversity. Future studies can monitor the long‐term trajectory in the abandoned crop fields and recommend targeted restoration strategies.
Author Yadav, Kamini
Massey, Richard
Tilton, James C.
Sankey, Temuulen Tsagaan
Congalton, Russell G.
Author_xml – sequence: 1
  givenname: Temuulen Tsagaan
  orcidid: 0000-0002-6919-8428
  surname: Sankey
  fullname: Sankey, Temuulen Tsagaan
  email: temuulen.sankey@nau.edu
  organization: Northern Arizona University
– sequence: 2
  givenname: Richard
  orcidid: 0000-0002-4831-8718
  surname: Massey
  fullname: Massey, Richard
  organization: Northern Arizona University
– sequence: 3
  givenname: Kamini
  surname: Yadav
  fullname: Yadav, Kamini
  organization: University of New Hampshire
– sequence: 4
  givenname: Russell G.
  orcidid: 0000-0003-3891-2163
  surname: Congalton
  fullname: Congalton, Russell G.
  organization: University of New Hampshire
– sequence: 5
  givenname: James C.
  orcidid: 0000-0003-2013-6389
  surname: Tilton
  fullname: Tilton, James C.
  organization: NASA Goddard Space Flight Center
BookMark eNp1kM9KAzEQxoNUsK2Cj7DgxcvWSTbZbA4epP6FiiIK3kI2SeuWbVKTLdKbj-Az-iRmrVfnMPMdfjMf843QwHlnETrGMMEA5Kw1YUKE4HtoiEGIHFP2Ouh1xfKC8OoAjWJcAgDmlA_R-aOP3ffnV_S6UW0Tu0wHv26VM5l-U25hY9ZrVafu3cq6Lmtcdu_dwreNOkT7c9VGe_Q3x-jl-up5epvPHm7uphezXBdM8LwyWNWlsGROLNRUlyaVrXFREV3rkhvOKoaBWcuA8sqQOu2ZohRUW6xAFWN0sru7Dv59Y2Mnl34TXLKUBAMmhaAUJ-p0R6UXYgx2LtehWamwlRhkH45M4cg-nITmO_Sjae32X07OLp9--R_1mWhP
CitedBy_id crossref_primary_10_1016_j_rse_2020_112223
crossref_primary_10_1016_j_foodpol_2023_102468
crossref_primary_10_1016_j_jenvman_2023_119909
crossref_primary_10_3390_agriculture11090888
crossref_primary_10_3390_rs14081805
crossref_primary_10_3390_rs13051036
crossref_primary_10_1016_j_jclepro_2023_138625
crossref_primary_10_1002_ldr_3976
crossref_primary_10_1016_j_jclepro_2022_132175
crossref_primary_10_1016_j_apgeog_2020_102245
crossref_primary_10_1002_ldr_3617
crossref_primary_10_1002_rse2_186
Cites_doi 10.1006/jema.1999.0335
10.1016/j.rse.2008.02.004
10.1080/09578810410001688770
10.1016/j.rse.2017.06.031
10.1016/j.landusepol.2012.06.011
10.1016/j.jag.2014.09.005
10.1016/j.rse.2016.02.016
10.1029/2008GB003435
10.1109/LGRS.2015.2409982
10.1109/IGARSS.2014.6947576
10.1073/pnas.1100480108
10.1007/978-3-319-42638-9_10
10.1016/j.rse.2005.08.012
10.1016/S0034-4257(96)00067-3
10.3390/rs71215820
10.3390/rs2071844
10.1126/science.1244693
10.1109/TGRS.2012.2190079
10.1016/j.rsase.2015.06.002
10.1109/IGARSS.2014.6947591
10.1016/j.landusepol.2010.11.003
10.1007/978-3-319-42638-9
10.1029/2007GB002952
10.1016/0034-4257(91)90048-B
10.1080/17538947.2013.822574
10.1016/j.isprsjprs.2007.08.007
10.1111/gcb.12838
10.1080/01431169608948714
10.1088/1748-9326/7/2/024021
10.1023/A:1010933404324
10.1080/01431160110107806
10.1016/j.isprsjprs.2009.06.004
10.1126/science.319.5863.567
10.1016/S0034-4257(97)00049-7
10.2111/.1/REM-D-09-00014.1
ContentType Journal Article
Copyright Copyright © 2018 John Wiley & Sons, Ltd.
2018 John Wiley & Sons, Ltd.
Copyright_xml – notice: Copyright © 2018 John Wiley & Sons, Ltd.
– notice: 2018 John Wiley & Sons, Ltd.
DBID AAYXX
CITATION
7ST
8FD
C1K
FR3
KR7
SOI
DOI 10.1002/ldr.2997
DatabaseName CrossRef
Environment Abstracts
Technology Research Database
Environmental Sciences and Pollution Management
Engineering Research Database
Civil Engineering Abstracts
Environment Abstracts
DatabaseTitle CrossRef
Civil Engineering Abstracts
Engineering Research Database
Technology Research Database
Environment Abstracts
Environmental Sciences and Pollution Management
DatabaseTitleList Civil Engineering Abstracts
CrossRef

DeliveryMethod fulltext_linktorsrc
Discipline Agriculture
EISSN 1099-145X
EndPage 2821
ExternalDocumentID 10_1002_ldr_2997
LDR2997
Genre article
GeographicLocations Mongolia
GeographicLocations_xml – name: Mongolia
GrantInformation_xml – fundername: National Aeronautics and Space Administration
– fundername: U.S. Geological Survey
  funderid: G13C00129
GroupedDBID .3N
.GA
.Y3
05W
0R~
10A
1L6
1OB
1OC
1ZS
31~
33P
3SF
3WU
4.4
50Y
50Z
51W
51X
52M
52N
52O
52P
52S
52T
52U
52W
52X
53G
5GY
5VS
66C
702
7PT
8-0
8-1
8-3
8-4
8-5
8UM
930
A03
AAESR
AAEVG
AAHBH
AAHHS
AANLZ
AAONW
AASGY
AAXRX
AAZKR
ABCQN
ABCUV
ABEML
ABIJN
ABJNI
ABOGM
ABPVW
ACAHQ
ACBWZ
ACCFJ
ACCZN
ACGFS
ACIWK
ACPOU
ACSCC
ACXBN
ACXQS
ADBBV
ADEOM
ADIZJ
ADKYN
ADMGS
ADOZA
ADXAS
ADZMN
AEEZP
AEIGN
AEIMD
AENEX
AEQDE
AEUQT
AEUYR
AFBPY
AFFPM
AFGKR
AFPWT
AFRAH
AFZJQ
AGHSJ
AHBTC
AITYG
AIURR
AIWBW
AJBDE
AJXKR
ALAGY
ALMA_UNASSIGNED_HOLDINGS
ALUQN
AMBMR
AMYDB
ATUGU
AUFTA
AZBYB
AZFZN
AZVAB
BAFTC
BDRZF
BFHJK
BHBCM
BMNLL
BMXJE
BNHUX
BROTX
BRXPI
BY8
CS3
D-E
D-F
DCZOG
DPXWK
DR2
DRFUL
DRSTM
DU5
EBD
EBS
ECGQY
EDH
EJD
F00
F01
F04
FEDTE
G-S
G.N
GNP
GODZA
H.T
H.X
HF~
HGLYW
HVGLF
HZ~
IX1
J0M
JPC
KQQ
LATKE
LAW
LC2
LC3
LEEKS
LH4
LITHE
LOXES
LP6
LP7
LUTES
LW6
LYRES
M62
MEWTI
MK4
MRFUL
MRSTM
MSFUL
MSSTM
MXFUL
MXSTM
N04
N05
N9A
NF~
O66
O9-
OIG
P2P
P2W
P2X
P4D
PALCI
Q.N
Q11
QB0
QRW
R.K
RIWAO
RJQFR
ROL
RWI
RX1
SAMSI
SUPJJ
UB1
W8V
W99
WBKPD
WIB
WIH
WIK
WOHZO
WQJ
WRC
WUPDE
WXSBR
WYISQ
XG1
XPP
XV2
Y6R
ZZTAW
~IA
~KM
~WT
AAMNL
AAYXX
ACRPL
CITATION
7ST
8FD
C1K
FR3
KR7
SOI
ID FETCH-LOGICAL-c3597-8d1ab69e2f2e0b4c6ddddeb1382cbc67d7585105ee50478d2bc35d3694ce1a0a3
IEDL.DBID DR2
ISSN 1085-3278
IngestDate Thu Oct 10 17:45:41 EDT 2024
Fri Dec 06 03:03:11 EST 2024
Sat Aug 24 00:48:54 EDT 2024
IsPeerReviewed true
IsScholarly true
Issue 9
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c3597-8d1ab69e2f2e0b4c6ddddeb1382cbc67d7585105ee50478d2bc35d3694ce1a0a3
ORCID 0000-0002-6919-8428
0000-0002-4831-8718
0000-0003-3891-2163
0000-0003-2013-6389
PQID 2101239441
PQPubID 1016359
PageCount 14
ParticipantIDs proquest_journals_2101239441
crossref_primary_10_1002_ldr_2997
wiley_primary_10_1002_ldr_2997_LDR2997
PublicationCentury 2000
PublicationDate September 2018
PublicationDateYYYYMMDD 2018-09-01
PublicationDate_xml – month: 09
  year: 2018
  text: September 2018
PublicationDecade 2010
PublicationPlace Chichester
PublicationPlace_xml – name: Chichester
PublicationTitle Land degradation & development
PublicationYear 2018
Publisher Wiley Subscription Services, Inc
Publisher_xml – name: Wiley Subscription Services, Inc
References 2015; 35
2015; 185
2015; 1
2015; 12
1997; 61
1996; 17
2009; 62
1991; 37
2012
2011
2009
2013; 342
1973
1996; 58
2001; 45
2015; 7
2013; 6
1999
2012; 50
2010; 65
2016; 7
2011; 108
2014; 3
2010; 24
2000; 59
2004; 16
2002; 23
2000; II
2008; 319
2015; 21
2013; 30
2017
2005; 98
2016
2008; 22
2014
2008; 63
2013
2008; 112
2011; 28
2010; 2
2012; 7
2017; 202
e_1_2_7_5_1
e_1_2_7_4_1
FAO (e_1_2_7_15_1) 2012
Mongolian Statistics Office (e_1_2_7_35_1) 2017
e_1_2_7_9_1
e_1_2_7_8_1
e_1_2_7_7_1
e_1_2_7_19_1
e_1_2_7_18_1
e_1_2_7_17_1
e_1_2_7_16_1
e_1_2_7_40_1
e_1_2_7_2_1
Congalton R. (e_1_2_7_10_1) 2009
e_1_2_7_41_1
e_1_2_7_14_1
e_1_2_7_42_1
e_1_2_7_43_1
e_1_2_7_12_1
e_1_2_7_44_1
Blaschke T. (e_1_2_7_6_1) 2000
e_1_2_7_11_1
e_1_2_7_45_1
e_1_2_7_46_1
e_1_2_7_47_1
e_1_2_7_26_1
e_1_2_7_48_1
e_1_2_7_27_1
e_1_2_7_49_1
e_1_2_7_28_1
Liao W. (e_1_2_7_29_1) 2014; 3
Enkhbayar B. (e_1_2_7_13_1) 2016; 7
e_1_2_7_30_1
e_1_2_7_25_1
e_1_2_7_31_1
e_1_2_7_24_1
e_1_2_7_32_1
e_1_2_7_23_1
e_1_2_7_33_1
e_1_2_7_22_1
e_1_2_7_34_1
e_1_2_7_21_1
e_1_2_7_20_1
e_1_2_7_36_1
e_1_2_7_37_1
e_1_2_7_38_1
e_1_2_7_39_1
Aplin P. (e_1_2_7_3_1) 1999
References_xml – year: 2011
– volume: 16
  start-page: 133
  year: 2004
  end-page: 152
  article-title: Decentralisation, rural livelihoods, and pasture‐land management in post‐socialist Mongolia
  publication-title: European Journal of Development Research
– volume: 185
  start-page: 142
  year: 2015
  end-page: 154
  article-title: Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology‐based algorithm and Google Earth Engine
  publication-title: Remote Sensing of Environment
– volume: 7
  start-page: 16091
  year: 2015
  end-page: 16107
  article-title: Object‐based crop classification with Landsat‐MODIS enhanced time‐series data
  publication-title: Remote Sensing
– volume: 58
  start-page: 257
  year: 1996
  end-page: 266
  article-title: NDWI — A normalized difference water index for remote sensing of vegetation liquid water from space
  publication-title: Remote Sensing of Environment
– volume: 62
  start-page: 522
  year: 2009
  end-page: 530
  article-title: Geospatial assessment of grazing regime shifts and socio‐political changes in a Mongolian rangeland
  publication-title: Rangeland Ecology & Management
– volume: 24
  start-page: 1
  year: 2010
  end-page: 24
  article-title: MIRCA2000—Global monthly irrigated and rainfed crop areas around the year 2000: A new high‐resolution data set for agricultural and hydrological modeling
  publication-title: Global Biogeochem Cycles
– volume: 6
  start-page: 521
  year: 2013
  end-page: 533
  article-title: FROM‐GC: 30 m global cropland extent derived through multisource data integration
  publication-title: International Journal of Digital Earth
– volume: 61
  start-page: 399
  year: 1997
  end-page: 409
  article-title: Decision tree classification of land cover from remotely sensed data
  publication-title: Remote Sensing of Environment
– volume: 7
  start-page: 195
  year: 2016
  end-page: 197
  article-title: Will Mongolia's herders disappear within 10 years?
  publication-title: Journal of rangeland science
– start-page: 309
  year: 1973
  end-page: 317
– volume: 45
  start-page: 5
  year: 2001
  end-page: 32
  article-title: Random forests
  publication-title: Machine Learning
– year: 2016
– volume: 319
  start-page: 567
  year: 2008
  end-page: 568
  article-title: The big thaw reaches Mongolia's pristine north
  publication-title: Science
– volume: 63
  start-page: 237
  year: 2008
  end-page: 250
  article-title: Object‐based classification using Quickbird imagery for delineating forest vegetation polygons in a Mediterranean test site
  publication-title: Journal of Photogrammetry and Remote Sensing
– year: 2014
– volume: 7
  start-page: 1
  year: 2012
  end-page: 13
  article-title: Effects of institutional changes on land use: Agricultural land abandonment during the transition from state‐command to market‐driven economies in post‐Soviet Eastern Europe
  publication-title: Environmental Research Letters
– start-page: 183
  year: 2009
– start-page: 223
  year: 2017
  end-page: 241
– volume: 202
  start-page: 18
  year: 2017
  end-page: 27
  article-title: Google Earth Engine: Planetary‐scale geospatial analysis for everyone
  publication-title: Remote Sensing of Environment
– year: 2012
– volume: 1
  start-page: 36
  year: 2015
  end-page: 49
  article-title: Mapping woody vegetation clearing in Queensland, Australia from Landsat imagery using the Google Earth Engine
  publication-title: Remote Sensing Applications: Society and Environments
– volume: 59
  start-page: 47
  year: 2000
  end-page: 69
  article-title: Agricultural abandonment in mountain areas of Europe: Environmental consequences and policy response
  publication-title: Journal of Environmental Management
– volume: 17
  start-page: 1425
  year: 1996
  end-page: 1432
  article-title: The use of the normalized difference water index (NDWI) in the delineation of open water features
  publication-title: International Journal of Remote Sensing
– volume: 3
  start-page: 179
  year: 2014
  end-page: 183
  article-title: Fusion of pixel‐based and object‐based features for classification of urban hyperspectral remote sensing data
  publication-title: South‐Eastern European Journal of Earth Observation and Geomatics
– volume: 50
  start-page: 4454
  year: 2012
  end-page: 4467
  article-title: Best merge region‐growing segmentation with integrated nonadjacent region object aggregation
  publication-title: IEEE Transactions on Geoscience and Remote Sensing
– volume: 65
  start-page: 2
  year: 2010
  end-page: 16
  article-title: Object‐based image analysis for remote sensing
  publication-title: ISPRS Journal of Photogrammetry and Remote Sensing
– volume: 21
  start-page: 1980
  year: 2015
  end-page: 1992
  article-title: Mapping global cropland and field size
  publication-title: Global Change Biology
– volume: 98
  start-page: 442
  year: 2005
  end-page: 456
  article-title: Spatial and temporal patterns of China's cropland during 1990–2000: An analysis based on Landsat TM data
  publication-title: Remote Sensing of Environment
– volume: 28
  start-page: 552
  year: 2011
  end-page: 562
  article-title: Patterns and drivers of post‐socialist farmland abandonment in Western Ukraine
  publication-title: Land Use Policy
– volume: 23
  start-page: 2537
  year: 2002
  end-page: 2562
  article-title: Vegetation and soil lines in visible spectral space: A concept and technique for remote estimation of vegetation fraction
  publication-title: International Journal of Remote Sensing
– start-page: 219
  year: 1999
  end-page: 239
– volume: 37
  start-page: 35
  year: 1991
  end-page: 46
  article-title: A review of assessing the accuracy of classifications of remotely sensed data
  publication-title: Remote Sensing of Environment
– volume: 22
  start-page: 1
  year: 2008
  end-page: 19
  article-title: Farming the planet: 1. Geographic distribution of global agricultural lands in the year 2000
  publication-title: Global Biogeochem Cycles
– volume: 2
  start-page: 1844
  year: 2010
  end-page: 1863
  article-title: Estimating global cropland extent with multi‐year MODIS data
  publication-title: Remote Sensing
– volume: 108
  start-page: 3465
  year: 2011
  end-page: 3472
  article-title: Global land use change, economic globalization, and the looming land scarcity
  publication-title: Proceedings of the National Academy of Sciences
– volume: 112
  start-page: 2988
  year: 2008
  end-page: 2998
  article-title: Object‐based land cover classification using airborne LiDAR
  publication-title: Remote Sensing of Environment
– volume: 35
  start-page: 199
  year: 2015
  end-page: 208
  article-title: Multitemporal settlement and population mapping from Landsat using Google Earth Engine
  publication-title: International Journal of Applied Earth Observation and Geoinformatics
– year: 2017
– volume: 342
  start-page: 850
  year: 2013
  end-page: 853
  article-title: High‐resolution global maps of 21st‐century forest cover change
  publication-title: Science
– volume: 30
  start-page: 873
  year: 2013
  end-page: 884
  article-title: Determinants of agricultural land abandonment in post‐Soviet European Russia
  publication-title: Land Use Policy
– volume: II
  start-page: 555
  year: 2000
  end-page: 570
– volume: 12
  start-page: 1
  year: 2015
  end-page: 5
  article-title: First results from the phenology‐based synthesis classifier using Landsat 8 imagery
  publication-title: IEEE Geoscience and Remote Sensing Letters
– year: 2013
– year: 1999
– ident: e_1_2_7_31_1
  doi: 10.1006/jema.1999.0335
– ident: e_1_2_7_2_1
  doi: 10.1016/j.rse.2008.02.004
– start-page: 219
  volume-title: Advances in remote sensing and GIS analysis
  year: 1999
  ident: e_1_2_7_3_1
  contributor:
    fullname: Aplin P.
– volume-title: Global agro‐ecological zones (GAEZ) v3.0
  year: 2012
  ident: e_1_2_7_15_1
  contributor:
    fullname: FAO
– ident: e_1_2_7_34_1
  doi: 10.1080/09578810410001688770
– ident: e_1_2_7_20_1
  doi: 10.1016/j.rse.2017.06.031
– ident: e_1_2_7_40_1
  doi: 10.1016/j.landusepol.2012.06.011
– ident: e_1_2_7_37_1
  doi: 10.1016/j.jag.2014.09.005
– ident: e_1_2_7_14_1
– ident: e_1_2_7_12_1
  doi: 10.1016/j.rse.2016.02.016
– ident: e_1_2_7_25_1
– ident: e_1_2_7_22_1
– ident: e_1_2_7_39_1
  doi: 10.1029/2008GB003435
– ident: e_1_2_7_45_1
  doi: 10.1109/LGRS.2015.2409982
– ident: e_1_2_7_26_1
  doi: 10.1109/IGARSS.2014.6947576
– ident: e_1_2_7_27_1
  doi: 10.1073/pnas.1100480108
– ident: e_1_2_7_11_1
  doi: 10.1007/978-3-319-42638-9_10
– ident: e_1_2_7_30_1
  doi: 10.1016/j.rse.2005.08.012
– ident: e_1_2_7_18_1
  doi: 10.1016/S0034-4257(96)00067-3
– ident: e_1_2_7_36_1
– ident: e_1_2_7_28_1
  doi: 10.3390/rs71215820
– ident: e_1_2_7_38_1
  doi: 10.3390/rs2071844
– ident: e_1_2_7_23_1
  doi: 10.1126/science.1244693
– volume: 3
  start-page: 179
  year: 2014
  ident: e_1_2_7_29_1
  article-title: Fusion of pixel‐based and object‐based features for classification of urban hyperspectral remote sensing data
  publication-title: South‐Eastern European Journal of Earth Observation and Geomatics
  contributor:
    fullname: Liao W.
– start-page: 183
  volume-title: Assessing the accuracy of remotely sensed data: Principles and practices
  year: 2009
  ident: e_1_2_7_10_1
  contributor:
    fullname: Congalton R.
– ident: e_1_2_7_48_1
  doi: 10.1109/TGRS.2012.2190079
– ident: e_1_2_7_24_1
  doi: 10.1016/j.rsase.2015.06.002
– ident: e_1_2_7_47_1
  doi: 10.1109/IGARSS.2014.6947591
– ident: e_1_2_7_4_1
  doi: 10.1016/j.landusepol.2010.11.003
– ident: e_1_2_7_21_1
  doi: 10.1007/978-3-319-42638-9
– ident: e_1_2_7_42_1
  doi: 10.1029/2007GB002952
– ident: e_1_2_7_9_1
  doi: 10.1016/0034-4257(91)90048-B
– ident: e_1_2_7_49_1
  doi: 10.1080/17538947.2013.822574
– ident: e_1_2_7_32_1
  doi: 10.1016/j.isprsjprs.2007.08.007
– ident: e_1_2_7_17_1
  doi: 10.1111/gcb.12838
– start-page: 555
  volume-title: Environmental information for planning, politics and the public
  year: 2000
  ident: e_1_2_7_6_1
  contributor:
    fullname: Blaschke T.
– ident: e_1_2_7_46_1
– volume: 7
  start-page: 195
  year: 2016
  ident: e_1_2_7_13_1
  article-title: Will Mongolia's herders disappear within 10 years?
  publication-title: Journal of rangeland science
  contributor:
    fullname: Enkhbayar B.
– ident: e_1_2_7_33_1
  doi: 10.1080/01431169608948714
– ident: e_1_2_7_43_1
– volume-title: Mongolian statistics book
  year: 2017
  ident: e_1_2_7_35_1
  contributor:
    fullname: Mongolian Statistics Office
– ident: e_1_2_7_41_1
  doi: 10.1088/1748-9326/7/2/024021
– ident: e_1_2_7_8_1
  doi: 10.1023/A:1010933404324
– ident: e_1_2_7_19_1
  doi: 10.1080/01431160110107806
– ident: e_1_2_7_5_1
  doi: 10.1016/j.isprsjprs.2009.06.004
– ident: e_1_2_7_7_1
  doi: 10.1126/science.319.5863.567
– ident: e_1_2_7_16_1
  doi: 10.1016/S0034-4257(97)00049-7
– ident: e_1_2_7_44_1
  doi: 10.2111/.1/REM-D-09-00014.1
SSID ssj0001747
Score 2.3057926
Snippet Large‐scale cropland changes have significant implications for global and national food supply as well as degradation in land resources. We examined cropland...
SourceID proquest
crossref
wiley
SourceType Aggregation Database
Publisher
StartPage 2808
SubjectTerms Abandonment
Agricultural economics
Agricultural land
Agricultural production
Biodiversity
Cloud computing
Crop fields
Crop production
cropland abandonment
cropland extent
Crops
decadal‐scale change
Desertification
Food supply
Google Earth Engine
Land degradation
Land resources
Land use
Landsat
Landsat satellites
Rangelands
Remote sensing
Restoration strategies
Satellite imagery
Satellites
Soil erosion
Species diversity
Title Post‐socialist cropland changes and abandonment in Mongolia
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fldr.2997
https://www.proquest.com/docview/2101239441
Volume 29
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LS8NAEF6kJz34FqtVIoi3tN3dJJscPBS1FFEPYqHgIewrpVhS6ePiyZ_gb_SXOJNNrAqCmEtyyEAyOzP77TDzDSGnUoQig20CkFvA_SAw0pdCaj_JDNM6Vopy7B2-vYt6_eB6EA7KqkrshXH8EJ8JN_SMIl6jg0s1ay1JQ8dm2oRYio3klAus5ru8XzJHAdAWVW09ZyKueGfbrFUJft-JlvDyK0gtdpnuBnmsvs8Vlzw1F3PV1C8_qBv_9wObZL0En17HWcsWWbH5NlnrDKclAYfdIec4vff99c3l0sEGPJzxheWPnusRnnn4LJXEMSCYWvRGuQeRYTgZj-Qu6XevHi56fjliwdccjhJ-bKhUUWJZxmxbBToycEH45jHTSkfC4HECIJi1IdL4GKZAzvAoCbSlsi35Hqnlk9zuE48m2moaWm5wBhYViunQwGpHLFMylFmdnFTqTp8dk0bqOJNZCqpIURV10qjWIS19aZYypCDD_l1aJ2eFQn-VT2_ABuB-8NcXD8kqIKDYFY01SG0-XdgjQBlzdVzY0wf_dNDW
link.rule.ids 314,780,784,1375,27924,27925,46294,46718
linkProvider Wiley-Blackwell
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3LSsNQEB1qXagL32K1agRxl7a5eRZxUdRSte1CWuhCCPeVUiyp9LFx5Sf4jX6JM01iVRDEbJJFBpK5M3PPHWbOAJxx3_Uj3CYQuTm26TiKm9zn0qxGikkZCGHZ1DvcanuNrnPXc3s5uMh6YRJ-iM-EG3nGPF6Tg1NCurxgDR2qcQmDqb8Ey-jtFtVzXT8suKMQavtZdb3N_CBjnq2wcib5fS9aAMyvMHW-z9Q34DH7wqS85Kk0m4qSfPlB3vjPX9iE9RR_GrXEYLYgp-NtWKv1xykHh96BSxrg-_76lqTT0QwMGvNFFZBG0iY8MeiZC06TQCi7aAxiA4NDfzQc8F3o1m86Vw0znbJgShtPE2agLC68qmYR0xXhSE_hhRHcDpgU0vMVnSgQhWntEpOPYgLllO1VHaktXuH2HuTjUaz3wbCqUkvL1baiMViWL5h0FS64xyLBXR4V4DTTd_ickGmECW0yC1EVIamiAMVsIcLUnSYhIxYyauG1CnA-1-iv8mETjQDvB3998QRWGp1WM2zetu8PYRUBUZDUkBUhPx3P9BGCjqk4nhvXBxv-1Pc
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3LSsNQEB20gujCt1itGkHcpW1u3gsXxVp81CJioeAi3FdKsaSlj40rP8Fv9EucaRKrgiBmkywykMydmXvuMHMG4JT7rh_jNoHIzbFNx1Hc5D6XZhgrJmUghGVT7_Bdy7tqOzcdt5NVVVIvTMoP8ZlwI8-YxWty8KGKK3PS0L4alTGW-ouw5HgsJN78-sOcOgqRtp8X19vMD3Li2Sqr5JLft6I5vvyKUmfbTGMdnvIPTKtLnsvTiSjLlx_cjf_7gw1Yy9CnUUvNZRMWdLIFq7XuKGPg0NtwTuN731_f0mQ6GoFBQ76o_tFIm4THBj1zwWkOCOUWjV5iYGjoDvo9vgPtxuXjxZWZzVgwpY1nCTNQFhdeqFnMdFU40lN4Yfy2AyaF9HxF5wnEYFq7xOOjmEA5ZXuhI7XFq9zehUIySPQeGFYotbRcbSsagmX5gklX4XJ7LBbc5XERTnJ1R8OUSiNKSZNZhKqISBVFKOXrEGXONI4YcZBRA69VhLOZQn-Vj5poA3jf_-uLx7B8X29EzevW7QGsIBoK0gKyEhQmo6k-RMQxEUcz0_oAzt_Tpg
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=Post%E2%80%90socialist+cropland+changes+and+abandonment+in+Mongolia&rft.jtitle=Land+degradation+%26+development&rft.au=Sankey%2C+Temuulen+Tsagaan&rft.au=Massey%2C+Richard&rft.au=Yadav%2C+Kamini&rft.au=Congalton%2C+Russell+G&rft.date=2018-09-01&rft.pub=Wiley+Subscription+Services%2C+Inc&rft.issn=1085-3278&rft.eissn=1099-145X&rft.volume=29&rft.issue=9&rft.spage=2808&rft.epage=2821&rft_id=info:doi/10.1002%2Fldr.2997&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1085-3278&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1085-3278&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1085-3278&client=summon