Multi-Decadal Assessment of Soil Loss in a Mediterranean Region Characterized by Contrasting Local Climates

Soil erosion is one of the most widespread soil degradation phenomena worldwide. Mediterranean landscapes, due to some peculiar characteristics, such as fragility of soils, steep slopes, and rainfall distribution during the year, are particularly subject to this phenomenon, with severe and complex i...

Full description

Saved in:
Bibliographic Details
Published inLand (Basel) Vol. 11; no. 7; p. 1010
Main Authors Samela, Caterina, Imbrenda, Vito, Coluzzi, Rosa, Pace, Letizia, Simoniello, Tiziana, Lanfredi, Maria
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 02.07.2022
Subjects
agricultural areas
Agricultural land
Agricultural production
Annual rainfall
Arable land
Aridity
Basilicata
Biodiversity
Climate
Climate change
Climate variability
cold
Complexity
data collection
Diachronic analysis
Environmental aspects
Erosion rates
Estimates
Fragility
GDP
geographical distribution
Gross Domestic Product
Ground stations
Heterogeneity
Italy
Land cover
land management
Land use
Landsat
Landsat satellites
Landscape
Mediterranean region
Mountain regions
Mountains
Natural resources
Organization for Economic Cooperation and Development
Precipitation
rain
Rainfall
Rainfall distribution
Remote sensing
Resource exploitation
RUSLE
Soil analysis
Soil degradation
Soil dynamics
Soil erosion
Universal Soil Loss Equation
Variability
Vegetation
Vegetation cover
water erosion
Watersheds
Mediterranean region
Italy
Europe
Mediterranean Area
Online AccessGet full text

Cover

Abstract Soil erosion is one of the most widespread soil degradation phenomena worldwide. Mediterranean landscapes, due to some peculiar characteristics, such as fragility of soils, steep slopes, and rainfall distribution during the year, are particularly subject to this phenomenon, with severe and complex issues for agricultural production and biodiversity protection. In this paper, we present a diachronic approach to the analysis of soil loss, which aims to account for climate variability and land cover dynamics by using remote data about rainfall and land cover to guarantee sufficient observational continuity. The study area (Basilicata, Southern Italy) is characterized by different local climates and ecosystems (temperate, Csa and Csb; arid steppic, Bsk; and cold, Dsb and Dsc), and is particularly suited to represent the biogeographical complexity of the Mediterranean Italy. The well-known Revised Universal Soil Loss Equation (RUSLE) was applied by integrating information from remote sensing to carry out decadal assessments (1994, 2004, 2014, and 2021) of the annual soil loss. Changes in the rainfall regime and vegetation cover activity were derived from CHIRPS and Landsat data, respectively, to obtain updated information useful for dynamical studies. For the analyzed region, soil loss shows a slight reduction (albeit always remarkable) over the whole period, and distinct spatial patterns between lowland Bsk and Mediterranean mountain Dsb and Dsc climate areas. The most alarming fact is that most of the study area showed soil erosion rates in 2021 greater than 11 t/ha*y, which is considered by the OECD (Organization for Economic Cooperation and Development) the threshold for identifying severe erosion phenomena. A final comparison with local studies shows, on average, differences of about 5 t ha−1 y−1 (minimum 2.5 and maximum 7) with respect to the local estimates obtained with the RUSLE model. The assessment at a regional scale provided an average 9.5% of soil loss difference for the arable lands and about 10% for all cultivated areas. The spatial-temporal patterns enhance the relevance of using the cover management factor C derived from satellite data rather than land cover maps, as remote observations are able to highlight the heterogeneity in vegetation density within the same vegetation cover class, which is particularly relevant for agricultural areas. For mountain areas, the adoption of a satellite-gridded rainfall dataset allowed the detection of erosion rate fluctuations due to rainfall variability, also in the case of sparse or absent ground pluviometric stations. The use of remote data represents a precious added value to obtain a dynamic picture of the spatial-temporal variability of soil loss and new insights into the sustainability of soil use in a region whose economy is mostly based on agriculture and the exploitation of natural resources.
AbstractList Soil erosion is one of the most widespread soil degradation phenomena worldwide. Mediterranean landscapes, due to some peculiar characteristics, such as fragility of soils, steep slopes, and rainfall distribution during the year, are particularly subject to this phenomenon, with severe and complex issues for agricultural production and biodiversity protection. In this paper, we present a diachronic approach to the analysis of soil loss, which aims to account for climate variability and land cover dynamics by using remote data about rainfall and land cover to guarantee sufficient observational continuity. The study area (Basilicata, Southern Italy) is characterized by different local climates and ecosystems (temperate, Csa and Csb; arid steppic, Bsk; and cold, Dsb and Dsc), and is particularly suited to represent the biogeographical complexity of the Mediterranean Italy. The well-known Revised Universal Soil Loss Equation (RUSLE) was applied by integrating information from remote sensing to carry out decadal assessments (1994, 2004, 2014, and 2021) of the annual soil loss. Changes in the rainfall regime and vegetation cover activity were derived from CHIRPS and Landsat data, respectively, to obtain updated information useful for dynamical studies. For the analyzed region, soil loss shows a slight reduction (albeit always remarkable) over the whole period, and distinct spatial patterns between lowland Bsk and Mediterranean mountain Dsb and Dsc climate areas. The most alarming fact is that most of the study area showed soil erosion rates in 2021 greater than 11 t/ha*y, which is considered by the OECD (Organization for Economic Cooperation and Development) the threshold for identifying severe erosion phenomena. A final comparison with local studies shows, on average, differences of about 5 t ha−1 y−1 (minimum 2.5 and maximum 7) with respect to the local estimates obtained with the RUSLE model. The assessment at a regional scale provided an average 9.5% of soil loss difference for the arable lands and about 10% for all cultivated areas. The spatial-temporal patterns enhance the relevance of using the cover management factor C derived from satellite data rather than land cover maps, as remote observations are able to highlight the heterogeneity in vegetation density within the same vegetation cover class, which is particularly relevant for agricultural areas. For mountain areas, the adoption of a satellite-gridded rainfall dataset allowed the detection of erosion rate fluctuations due to rainfall variability, also in the case of sparse or absent ground pluviometric stations. The use of remote data represents a precious added value to obtain a dynamic picture of the spatial-temporal variability of soil loss and new insights into the sustainability of soil use in a region whose economy is mostly based on agriculture and the exploitation of natural resources.
Soil erosion is one of the most widespread soil degradation phenomena worldwide. Mediterranean landscapes, due to some peculiar characteristics, such as fragility of soils, steep slopes, and rainfall distribution during the year, are particularly subject to this phenomenon, with severe and complex issues for agricultural production and biodiversity protection. In this paper, we present a diachronic approach to the analysis of soil loss, which aims to account for climate variability and land cover dynamics by using remote data about rainfall and land cover to guarantee sufficient observational continuity. The study area (Basilicata, Southern Italy) is characterized by different local climates and ecosystems (temperate, Csa and Csb; arid steppic, Bsk; and cold, Dsb and Dsc), and is particularly suited to represent the biogeographical complexity of the Mediterranean Italy. The well-known Revised Universal Soil Loss Equation (RUSLE) was applied by integrating information from remote sensing to carry out decadal assessments (1994, 2004, 2014, and 2021) of the annual soil loss. Changes in the rainfall regime and vegetation cover activity were derived from CHIRPS and Landsat data, respectively, to obtain updated information useful for dynamical studies. For the analyzed region, soil loss shows a slight reduction (albeit always remarkable) over the whole period, and distinct spatial patterns between lowland Bsk and Mediterranean mountain Dsb and Dsc climate areas. The most alarming fact is that most of the study area showed soil erosion rates in 2021 greater than 11 t/ha*y, which is considered by the OECD (Organization for Economic Cooperation and Development) the threshold for identifying severe erosion phenomena. A final comparison with local studies shows, on average, differences of about 5 t ha[sup.−1] y[sup.−1] (minimum 2.5 and maximum 7) with respect to the local estimates obtained with the RUSLE model. The assessment at a regional scale provided an average 9.5% of soil loss difference for the arable lands and about 10% for all cultivated areas. The spatial-temporal patterns enhance the relevance of using the cover management factor C derived from satellite data rather than land cover maps, as remote observations are able to highlight the heterogeneity in vegetation density within the same vegetation cover class, which is particularly relevant for agricultural areas. For mountain areas, the adoption of a satellite-gridded rainfall dataset allowed the detection of erosion rate fluctuations due to rainfall variability, also in the case of sparse or absent ground pluviometric stations. The use of remote data represents a precious added value to obtain a dynamic picture of the spatial-temporal variability of soil loss and new insights into the sustainability of soil use in a region whose economy is mostly based on agriculture and the exploitation of natural resources.
Soil erosion is one of the most widespread soil degradation phenomena worldwide. Mediterranean landscapes, due to some peculiar characteristics, such as fragility of soils, steep slopes, and rainfall distribution during the year, are particularly subject to this phenomenon, with severe and complex issues for agricultural production and biodiversity protection. In this paper, we present a diachronic approach to the analysis of soil loss, which aims to account for climate variability and land cover dynamics by using remote data about rainfall and land cover to guarantee sufficient observational continuity. The study area (Basilicata, Southern Italy) is characterized by different local climates and ecosystems (temperate, Csa and Csb; arid steppic, Bsk; and cold, Dsb and Dsc), and is particularly suited to represent the biogeographical complexity of the Mediterranean Italy. The well-known Revised Universal Soil Loss Equation (RUSLE) was applied by integrating information from remote sensing to carry out decadal assessments (1994, 2004, 2014, and 2021) of the annual soil loss. Changes in the rainfall regime and vegetation cover activity were derived from CHIRPS and Landsat data, respectively, to obtain updated information useful for dynamical studies. For the analyzed region, soil loss shows a slight reduction (albeit always remarkable) over the whole period, and distinct spatial patterns between lowland Bsk and Mediterranean mountain Dsb and Dsc climate areas. The most alarming fact is that most of the study area showed soil erosion rates in 2021 greater than 11 t/ha*y, which is considered by the OECD (Organization for Economic Cooperation and Development) the threshold for identifying severe erosion phenomena. A final comparison with local studies shows, on average, differences of about 5 t ha⁻¹ y⁻¹ (minimum 2.5 and maximum 7) with respect to the local estimates obtained with the RUSLE model. The assessment at a regional scale provided an average 9.5% of soil loss difference for the arable lands and about 10% for all cultivated areas. The spatial-temporal patterns enhance the relevance of using the cover management factor C derived from satellite data rather than land cover maps, as remote observations are able to highlight the heterogeneity in vegetation density within the same vegetation cover class, which is particularly relevant for agricultural areas. For mountain areas, the adoption of a satellite-gridded rainfall dataset allowed the detection of erosion rate fluctuations due to rainfall variability, also in the case of sparse or absent ground pluviometric stations. The use of remote data represents a precious added value to obtain a dynamic picture of the spatial-temporal variability of soil loss and new insights into the sustainability of soil use in a region whose economy is mostly based on agriculture and the exploitation of natural resources.
Audience Academic
Author Pace, Letizia
Imbrenda, Vito
Simoniello, Tiziana
Coluzzi, Rosa
Lanfredi, Maria
Samela, Caterina
Author_xml – sequence: 1
  givenname: Caterina
  orcidid: 0000-0003-3364-4083
  surname: Samela
  fullname: Samela, Caterina
– sequence: 2
  givenname: Vito
  orcidid: 0000-0002-1846-7704
  surname: Imbrenda
  fullname: Imbrenda, Vito
– sequence: 3
  givenname: Rosa
  orcidid: 0000-0003-0420-082X
  surname: Coluzzi
  fullname: Coluzzi, Rosa
– sequence: 4
  givenname: Letizia
  surname: Pace
  fullname: Pace, Letizia
– sequence: 5
  givenname: Tiziana
  orcidid: 0000-0002-4287-2400
  surname: Simoniello
  fullname: Simoniello, Tiziana
– sequence: 6
  givenname: Maria
  surname: Lanfredi
  fullname: Lanfredi, Maria
BookMark eNptUcluFDEUbKEgEUJufIAlLhzo4K3b7eNoWBJpIiQWiZv12svgoccOtucQvp5HhkhRhH2wVaqqp1f1vDtJOfmue8nohRCavl0gOcaoYpTRJ90pp0r0Ug7fTx78n3Xnte4oHs3EJIfT7uf1YWmxf-ctOFjIqlZf696nRnIgX3JcyCbXSmIiQK69i82XAslDIp_9NuZE1j-ggEU4_vaOzLdknVMrUFtMW9RaNF0vcQ_N1xfd0wBL9ef_3rPu24f3X9eX_ebTx6v1atNbKXTrnaBqnNjAWdBcOjuOs3YM5gF3Cy7MVHAP1o9BM9BA-WxnLuwQ5jAPytkgzrqro6_LsDM3BaeXW5Mhmjsgl62B0qJdvJm1lYGqoOSspRRWj6McrMMMmeSKjuj1-uh1U_Kvg6_N7GO1fsG0fT5UwxWb-DQwPSH11SPqLh9Kwk0NH7WkXCATWRdH1hZwfkwhY1oWr_P7aLHSEBFfKS4GoUYtUMCPAluwieKDsbFBi3cxx8Uwav72bx72j6I3j0T3MfyX_gd_LrKk
CitedBy_id crossref_primary_10_1007_s42990_024_00134_6
crossref_primary_10_1016_j_jssas_2024_05_004
crossref_primary_10_1007_s00704_024_05325_7
crossref_primary_10_1080_17445647_2024_2327859
crossref_primary_10_3390_agriculture12111813
crossref_primary_10_3390_geosciences12100367
crossref_primary_10_3390_land12030645
crossref_primary_10_4236_cus_2023_112016
crossref_primary_10_1016_j_geomorph_2024_109099
crossref_primary_10_3390_atmos13091501
crossref_primary_10_1080_10106049_2023_2210106
crossref_primary_10_3390_agronomy15030592
crossref_primary_10_3390_su151712992
Cites_doi 10.1002/esp.1560
10.1111/j.1475-4762.2012.01083.x
10.3390/f9090551
10.1016/j.earscirev.2022.103921
10.1080/19475705.2018.1508076
10.3390/w12061514
10.1080/19475705.2021.1951363
10.1073/pnas.2001403117
10.1016/j.geomorph.2009.06.009
10.1515/johh-2015-0003
10.1038/s41467-017-02142-7
10.1007/s12665-011-0913-3
10.3390/w13010053
10.1016/j.iswcr.2019.08.005
10.3390/rs13245019
10.3390/agronomy12030597
10.1016/j.envint.2019.01.064
10.1016/j.eiar.2021.106703
10.1111/ejss.12184
10.1002/ldr.2538
10.1016/S0169-555X(02)00082-X
10.1016/j.envsci.2015.08.012
10.1016/j.envsci.2015.03.012
10.4081/ija.2010.s3.33
10.3390/land9090325
10.1007/s12210-011-0159-8
10.1007/s10584-013-0837-x
10.1016/j.catena.2015.04.003
10.1080/22797254.2019.1669491
10.1038/s41598-021-04638-1
10.1016/j.iswcr.2019.05.004
10.1016/j.ecolecon.2021.107256
10.1079/9780851992891.0025
10.3390/rs12091365
10.3390/hydrology7010013
10.1016/0034-4257(88)90106-X
10.1002/ldr.3583
10.1002/ldr.2879
10.3390/ijgi10010019
10.1016/j.iswcr.2018.12.002
10.1016/j.catena.2014.11.021
10.1016/j.catena.2005.11.005
10.2136/sssaj1986.03615995005000050042x
10.3390/rs70608154
10.5194/nhess-15-1201-2015
10.1007/s00254-003-0897-8
10.1007/s11269-011-9911-1
10.1029/96WR03137
10.1016/j.envsoft.2021.104961
10.1007/s10666-004-6595-4
10.5194/esurf-2-1-2014
10.1080/02626669109492543
10.3390/geosciences5020117
10.3390/hydrology5030043
10.1016/j.geoderma.2017.08.006
10.1080/19475705.2018.1513872
10.1007/s10668-005-1262-8
10.1111/geb.12782
10.1016/j.scitotenv.2014.02.010
10.1007/s12665-017-7206-4
10.5194/hess-12-1053-2008
10.3390/land10060554
10.3390/su14052738
10.1016/j.envsoft.2014.12.009
10.3390/pollutants1040018
10.1007/s10661-013-3109-3
10.5194/soil-2-111-2016
10.1016/j.geomorph.2008.11.012
10.1016/j.landusepol.2019.104365
10.1016/j.scitotenv.2021.146494
10.1080/19475705.2019.1578271
10.1038/sdata.2015.66
10.1038/sdata.2018.214
10.3390/w12072062
10.3390/cli5040090
10.1016/j.catena.2010.03.001
10.3390/su13168750
ContentType Journal Article
Copyright COPYRIGHT 2022 MDPI AG
2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: COPYRIGHT 2022 MDPI AG
– notice: 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID AAYXX
CITATION
7SN
7ST
ABUWG
AFKRA
ATCPS
AZQEC
BENPR
BHPHI
C1K
CCPQU
DWQXO
GNUQQ
HCIFZ
PATMY
PHGZM
PHGZT
PIMPY
PKEHL
PQEST
PQQKQ
PQUKI
PRINS
PYCSY
SOI
7S9
L.6
DOA
DOI 10.3390/land11071010
DatabaseName CrossRef
Ecology Abstracts
Environment Abstracts
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
Agricultural & Environmental Science Collection
ProQuest Central Essentials
ProQuest Central
Natural Science Collection
Environmental Sciences and Pollution Management
ProQuest One
ProQuest Central
ProQuest Central Student
ProQuest SciTech Premium Collection
Environmental Science Database
ProQuest Central Premium
ProQuest One Academic
Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
Environmental Science Collection
Environment Abstracts
AGRICOLA
AGRICOLA - Academic
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
Publicly Available Content Database
ProQuest Central Student
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest One Academic Eastern Edition
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
Ecology Abstracts
ProQuest Central China
Environmental Sciences and Pollution Management
ProQuest Central
Environmental Science Collection
ProQuest One Academic UKI Edition
Natural Science Collection
ProQuest Central Korea
Agricultural & Environmental Science Collection
Environmental Science Database
ProQuest Central (New)
ProQuest One Academic
Environment Abstracts
ProQuest One Academic (New)
AGRICOLA
AGRICOLA - Academic
DatabaseTitleList CrossRef


Publicly Available Content Database
AGRICOLA
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Economics
EISSN 2073-445X
ExternalDocumentID oai_doaj_org_article_b9c4f07f74b9443c96645cd101142706
A723537693
10_3390_land11071010
GeographicLocations Mediterranean region
Italy
Europe
Mediterranean Area
GeographicLocations_xml – name: Mediterranean region
– name: Europe
– name: Italy
– name: Mediterranean Area
GroupedDBID 5VS
7XC
8FE
8FH
AADQD
AAFWJ
AAHBH
AAYXX
ADBBV
AFKRA
AFPKN
AFZYC
ALMA_UNASSIGNED_HOLDINGS
ATCPS
BCNDV
BENPR
BHPHI
CCPQU
CITATION
GROUPED_DOAJ
HCIFZ
IAO
ITC
KQ8
MODMG
M~E
OK1
PATMY
PHGZM
PHGZT
PIMPY
PROAC
PYCSY
PMFND
7SN
7ST
ABUWG
AZQEC
C1K
DWQXO
GNUQQ
PKEHL
PQEST
PQQKQ
PQUKI
PRINS
SOI
7S9
L.6
PUEGO
ID FETCH-LOGICAL-c439t-d307681521f924dc66b9d1ab5071fdfb032eace6f91a9a02bcb23c5fbfb57dcf3
IEDL.DBID BENPR
ISSN 2073-445X
IngestDate Wed Aug 27 01:16:14 EDT 2025
Fri Jul 11 05:40:26 EDT 2025
Mon Jun 30 11:16:07 EDT 2025
Tue Jun 10 21:24:54 EDT 2025
Tue Jul 01 00:26:38 EDT 2025
Thu Apr 24 23:04:02 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 7
Language English
License https://creativecommons.org/licenses/by/4.0
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c439t-d307681521f924dc66b9d1ab5071fdfb032eace6f91a9a02bcb23c5fbfb57dcf3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ORCID 0000-0003-0420-082X
0000-0003-3364-4083
0000-0002-1846-7704
0000-0002-4287-2400
OpenAccessLink https://www.proquest.com/docview/2694023828?pq-origsite=%requestingapplication%
PQID 2694023828
PQPubID 2032374
ParticipantIDs doaj_primary_oai_doaj_org_article_b9c4f07f74b9443c96645cd101142706
proquest_miscellaneous_2718285198
proquest_journals_2694023828
gale_infotracacademiconefile_A723537693
crossref_citationtrail_10_3390_land11071010
crossref_primary_10_3390_land11071010
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 20220702
PublicationDateYYYYMMDD 2022-07-02
PublicationDate_xml – month: 07
  year: 2022
  text: 20220702
  day: 02
PublicationDecade 2020
PublicationPlace Basel
PublicationPlace_xml – name: Basel
PublicationTitle Land (Basel)
PublicationYear 2022
Publisher MDPI AG
Publisher_xml – name: MDPI AG
References ref_94
ref_93
ref_92
ref_91
ref_90
Hernando (ref_34) 2015; 63
Quaranta (ref_78) 2020; 31
ref_97
Borrelli (ref_19) 2021; 780
ref_95
ref_17
ref_16
Lee (ref_47) 2004; 45
Baby (ref_44) 2016; 3
Willems (ref_87) 2013; 120
(ref_21) 2012; 175
Moore (ref_36) 1992; 47
Eekhout (ref_7) 2022; 226
ref_22
Desmet (ref_37) 1996; 51
ref_20
Simoniello (ref_71) 2008; 12
Beck (ref_63) 2018; 5
Panagos (ref_55) 2014; 479–480
Piccarreta (ref_88) 2006; 65
Zhang (ref_28) 2017; 308
Borrelli (ref_3) 2020; 117
Aiello (ref_33) 2015; 131
Tetzlaff (ref_35) 2012; 26
Nickayin (ref_68) 2022; 12
ref_77
Salvati (ref_12) 2012; 44
ref_74
Renschler (ref_18) 2002; 47
ref_73
Terranova (ref_11) 2009; 112
Renard (ref_29) 1991; 46
Almagro (ref_48) 2019; 7
ref_83
Gianinetto (ref_25) 2019; 52
ref_82
ref_80
Panagos (ref_58) 2015; 54
Moore (ref_41) 1993; 20
Kuo (ref_53) 2016; 7
Imbrenda (ref_61) 2018; 9
Proietti (ref_13) 2019; 125
Giannossi (ref_69) 2010; 81
Pimentel (ref_5) 2006; 8
Keesstra (ref_2) 2016; 2
Borrelli (ref_8) 2017; 8
Liberti (ref_59) 2009; 106
Moore (ref_40) 1986; 50
Panagos (ref_10) 2018; 29
Lanfredi (ref_14) 2015; 66
Schwanghart (ref_45) 2014; 2
Capolongo (ref_98) 2008; 33
ref_54
ref_52
Panagos (ref_57) 2015; 51
Coluzzi (ref_76) 2018; 77
Lanorte (ref_26) 2019; 10
Batista (ref_27) 2021; 137
Panagos (ref_46) 2015; 5
Imbrenda (ref_75) 2014; 65
ref_60
Basso (ref_64) 2010; 5
Simoniello (ref_86) 2015; 15
Orgiazzi (ref_15) 2018; 27
Funk (ref_85) 2015; 2
ref_62
Tarboton (ref_39) 1997; 33
Igwe (ref_23) 2017; 4
Alewell (ref_24) 2019; 7
Huete (ref_50) 1988; 25
Phinzi (ref_51) 2019; 7
Imbrenda (ref_65) 2021; 12
Lanfredi (ref_70) 2015; 7
ref_31
ref_30
Coluzzi (ref_72) 2019; 10
ref_38
Jones (ref_56) 2013; 185
Panagos (ref_1) 2016; 27
Vinay (ref_43) 2015; 4
Lanfredi (ref_67) 2022; 192
Cillis (ref_81) 2021; 1
Zavalloni (ref_79) 2021; 107
Lazzari (ref_89) 2015; 127
Fagnano (ref_96) 2012; 23
Prasannakumar (ref_42) 2011; 64
Coluzzi (ref_66) 2022; 92
Wu (ref_84) 2005; 10
ref_49
ref_9
Ferro (ref_32) 1991; 36
ref_4
ref_6
References_xml – volume: 33
  start-page: 364
  year: 2008
  ident: ref_98
  article-title: Spatial and Temporal Variations in Soil Erosion and Deposition Due to Land-Levelling in a Semi-Arid Area of Basilicata (Southern Italy)
  publication-title: Earth Surf. Processes Landf.
  doi: 10.1002/esp.1560
– ident: ref_9
– volume: 44
  start-page: 317
  year: 2012
  ident: ref_12
  article-title: Land Degradation in Mediterranean Urban Areas: An Unexplored Link with Planning?
  publication-title: Area
  doi: 10.1111/j.1475-4762.2012.01083.x
– ident: ref_91
  doi: 10.3390/f9090551
– volume: 4
  start-page: 237341
  year: 2017
  ident: ref_23
  article-title: Soil Erosion: A Review of Models and Applications
  publication-title: Int. J. Adv. Eng. Res. Sci.
– volume: 226
  start-page: 103921
  year: 2022
  ident: ref_7
  article-title: Global Impact of Climate Change on Soil Erosion and Potential for Adaptation through Soil Conservation
  publication-title: Earth-Sci. Rev.
  doi: 10.1016/j.earscirev.2022.103921
– volume: 9
  start-page: 1249
  year: 2018
  ident: ref_61
  article-title: Analysis of Landscape Evolution in a Vulnerable Coastal Area under Natural and Human Pressure
  publication-title: Geomat. Nat. Hazards Risk
  doi: 10.1080/19475705.2018.1508076
– volume: 47
  start-page: 423
  year: 1992
  ident: ref_36
  article-title: Length-Slope Factors for the Revised Universal Soil Loss Equation: Simplified Method of Estimation
  publication-title: J. Soil Water Conserv.
– ident: ref_6
  doi: 10.3390/w12061514
– ident: ref_4
– ident: ref_31
– volume: 12
  start-page: 1797
  year: 2021
  ident: ref_65
  article-title: Land Degradation and Metropolitan Expansion in a Peri-Urban Environment
  publication-title: Geomat. Nat. Hazards Risk
  doi: 10.1080/19475705.2021.1951363
– ident: ref_83
– volume: 117
  start-page: 21994
  year: 2020
  ident: ref_3
  article-title: Land Use and Climate Change Impacts on Global Soil Erosion by Water (2015–2070)
  publication-title: Proc. Natl. Acad. Sci. USA
  doi: 10.1073/pnas.2001403117
– volume: 112
  start-page: 228
  year: 2009
  ident: ref_11
  article-title: Soil Erosion Risk Scenarios in the Mediterranean Environment Using RUSLE and GIS: An Application Model for Calabria (Southern Italy)
  publication-title: Geomorphology
  doi: 10.1016/j.geomorph.2009.06.009
– volume: 63
  start-page: 55
  year: 2015
  ident: ref_34
  article-title: Estimating the Rainfall Erosivity Factor from Monthly Precipitation Data in the Madrid Region (Spain)
  publication-title: J. Hydrol. Hydromech.
  doi: 10.1515/johh-2015-0003
– volume: 8
  start-page: 2013
  year: 2017
  ident: ref_8
  article-title: An Assessment of the Global Impact of 21st Century Land Use Change on Soil Erosion
  publication-title: Nat. Commun.
  doi: 10.1038/s41467-017-02142-7
– volume: 64
  start-page: 965
  year: 2011
  ident: ref_42
  article-title: Spatial Prediction of Soil Erosion Risk by Remote Sensing, GIS and RUSLE Approach: A Case Study of Siruvani River Watershed in Attapady Valley, Kerala, India
  publication-title: Environ. Earth Sci.
  doi: 10.1007/s12665-011-0913-3
– ident: ref_62
  doi: 10.3390/w13010053
– volume: 7
  start-page: 325
  year: 2019
  ident: ref_48
  article-title: Improving cover and management factor (C-factor) estimation using remote sensing approaches for tropical regions
  publication-title: Int. Soil Water Conserv. Res.
  doi: 10.1016/j.iswcr.2019.08.005
– ident: ref_49
  doi: 10.3390/rs13245019
– ident: ref_80
  doi: 10.3390/agronomy12030597
– volume: 125
  start-page: 320
  year: 2019
  ident: ref_13
  article-title: Impacts of Air Pollution on Human and Ecosystem Health, and Implications for the National Emission Ceilings Directive: Insights from Italy
  publication-title: Environ. Int.
  doi: 10.1016/j.envint.2019.01.064
– ident: ref_30
– volume: 92
  start-page: 106703
  year: 2022
  ident: ref_66
  article-title: Density Matters? Settlement Expansion and Land Degradation in Peri-Urban and Rural Districts of Italy
  publication-title: Environ. Impact Assess. Rev.
  doi: 10.1016/j.eiar.2021.106703
– volume: 65
  start-page: 907
  year: 2014
  ident: ref_75
  article-title: Indicators for the Estimation of Vulnerability to Land Degradation Derived from Soil Compaction and Vegetation Cover
  publication-title: Eur. J. Soil Sci.
  doi: 10.1111/ejss.12184
– volume: 27
  start-page: 1547
  year: 2016
  ident: ref_1
  article-title: Soil Conservation in Europe: Wish or Reality?
  publication-title: Land Degrad. Dev.
  doi: 10.1002/ldr.2538
– volume: 47
  start-page: 189
  year: 2002
  ident: ref_18
  article-title: Soil Erosion Assessment Tools from Point to Regional Scales—The Role of Geomorphologists in Land Management Research and Implementation
  publication-title: Geomorphology
  doi: 10.1016/S0169-555X(02)00082-X
– volume: 54
  start-page: 438
  year: 2015
  ident: ref_58
  article-title: The New Assessment of Soil Loss by Water Erosion in Europe
  publication-title: Environ. Sci. Policy
  doi: 10.1016/j.envsci.2015.08.012
– volume: 51
  start-page: 23
  year: 2015
  ident: ref_57
  article-title: Modelling the Effect of Support Practices (P-Factor) on the Reduction of Soil Erosion by Water at European Scale
  publication-title: Environ. Sci. Policy
  doi: 10.1016/j.envsci.2015.03.012
– volume: 5
  start-page: 33
  year: 2010
  ident: ref_64
  article-title: Analysis of Contributing Factors to Desertification and Mitigation Measures in Basilicata Region
  publication-title: Ital. J. Agron.
  doi: 10.4081/ija.2010.s3.33
– ident: ref_74
  doi: 10.3390/land9090325
– volume: 23
  start-page: 69
  year: 2012
  ident: ref_96
  article-title: An Overview of Soil Erosion Modelling Compatible with RUSLE Approach
  publication-title: Rend. Fis. Acc. Lincei
  doi: 10.1007/s12210-011-0159-8
– volume: 120
  start-page: 931
  year: 2013
  ident: ref_87
  article-title: Multidecadal Oscillatory Behaviour of Rainfall Extremes in Europe
  publication-title: Clim. Change
  doi: 10.1007/s10584-013-0837-x
– volume: 131
  start-page: 174
  year: 2015
  ident: ref_33
  article-title: Remote Sensing and GIS to Assess Soil Erosion with RUSLE3D and USPED at River Basin Scale in Southern Italy
  publication-title: Catena
  doi: 10.1016/j.catena.2015.04.003
– volume: 52
  start-page: 34
  year: 2019
  ident: ref_25
  article-title: D-RUSLE: A Dynamic Model to Estimate Potential Soil Erosion with Satellite Time Series in the Italian Alps
  publication-title: Eur. J. Remote Sens.
  doi: 10.1080/22797254.2019.1669491
– volume: 12
  start-page: 747
  year: 2022
  ident: ref_68
  article-title: Desertification Risk Fuels Spatial Polarization in ‘Affected’ and ‘Unaffected’ Landscapes in Italy
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-021-04638-1
– volume: 7
  start-page: 203
  year: 2019
  ident: ref_24
  article-title: Using the USLE: Chances, Challenges and Limitations of Soil Erosion Modelling
  publication-title: Int. Soil Water Conserv. Res.
  doi: 10.1016/j.iswcr.2019.05.004
– volume: 192
  start-page: 107256
  year: 2022
  ident: ref_67
  article-title: One Size Does Not Fit All: A Tale of Polycentric Development and Land Degradation in Italy
  publication-title: Ecol. Econ.
  doi: 10.1016/j.ecolecon.2021.107256
– ident: ref_92
  doi: 10.1079/9780851992891.0025
– ident: ref_94
  doi: 10.3390/rs12091365
– ident: ref_97
  doi: 10.3390/hydrology7010013
– volume: 25
  start-page: 295
  year: 1988
  ident: ref_50
  article-title: A Soil-Adjusted Vegetation Index (SAVI)
  publication-title: Remote Sens. Environ.
  doi: 10.1016/0034-4257(88)90106-X
– volume: 31
  start-page: 2379
  year: 2020
  ident: ref_78
  article-title: Long-Term Impacts of Grazing Management on Land Degradation in a Rural Community of Southern Italy: Depopulation Matters
  publication-title: Land Degrad. Dev.
  doi: 10.1002/ldr.3583
– volume: 29
  start-page: 471
  year: 2018
  ident: ref_10
  article-title: Cost of Agricultural Productivity Loss Due to Soil Erosion in the European Union: From Direct Cost Evaluation Approaches to the Use of Macroeconomic Models
  publication-title: Land Degrad. Dev.
  doi: 10.1002/ldr.2879
– ident: ref_52
  doi: 10.3390/ijgi10010019
– volume: 7
  start-page: 27
  year: 2019
  ident: ref_51
  article-title: The Assessment of Water-Borne Erosion at Catchment Level Using GIS-Based RUSLE and Remote Sensing: A Review
  publication-title: Int. Soil Water Conserv. Res.
  doi: 10.1016/j.iswcr.2018.12.002
– volume: 127
  start-page: 323
  year: 2015
  ident: ref_89
  article-title: Sediment Yield and Erosion Rate Estimation in the Mountain Catchments of the Camastra Artificial Reservoir (Southern Italy): A Comparison between Different Empirical Methods
  publication-title: Catena
  doi: 10.1016/j.catena.2014.11.021
– volume: 65
  start-page: 138
  year: 2006
  ident: ref_88
  article-title: Implications of Decadal Changes in Precipitation and Land Use Policy to Soil Erosion in Basilicata, Italy
  publication-title: Catena
  doi: 10.1016/j.catena.2005.11.005
– volume: 50
  start-page: 1294
  year: 1986
  ident: ref_40
  article-title: Physical Basis of the Length-Slope Factor in the Universal Soil Loss Equation
  publication-title: Soil Sci. Soc. Am. J.
  doi: 10.2136/sssaj1986.03615995005000050042x
– volume: 7
  start-page: 8154
  year: 2015
  ident: ref_70
  article-title: Early Identification of Land Degradation Hotspots in Complex Bio-Geographic Regions
  publication-title: Remote Sens.
  doi: 10.3390/rs70608154
– volume: 15
  start-page: 1201
  year: 2015
  ident: ref_86
  article-title: Land Cover Changes and Forest Landscape Evolution (1985–2009) in a Typical Mediterranean Agroforestry System (High Agri Valley)
  publication-title: Nat. Hazards Earth Syst. Sci.
  doi: 10.5194/nhess-15-1201-2015
– volume: 45
  start-page: 457
  year: 2004
  ident: ref_47
  article-title: Soil Erosion Assessment and Its Verification Using the Universal Soil Loss Equation and Geographic Information System: A Case Study at Boun, Korea
  publication-title: Environ. Geol.
  doi: 10.1007/s00254-003-0897-8
– ident: ref_95
– volume: 26
  start-page: 165
  year: 2012
  ident: ref_35
  article-title: Modelling Sediment Input to Surface Waters for German States with MEPhos: Methodology, Sensitivity and Uncertainty
  publication-title: Water Resour. Manag.
  doi: 10.1007/s11269-011-9911-1
– volume: 33
  start-page: 309
  year: 1997
  ident: ref_39
  article-title: A New Method for the Determination of Flow Directions and Upslope Areas in Grid Digital Elevation Models
  publication-title: Water Resour. Res.
  doi: 10.1029/96WR03137
– volume: 137
  start-page: 104961
  year: 2021
  ident: ref_27
  article-title: A Framework for Testing Large-Scale Distributed Soil Erosion and Sediment Delivery Models: Dealing with Uncertainty in Models and the Observational Data
  publication-title: Environ. Model. Softw.
  doi: 10.1016/j.envsoft.2021.104961
– volume: 10
  start-page: 33
  year: 2005
  ident: ref_84
  article-title: An Evaluation of Grid Size Uncertainty in Empirical Soil Loss Modeling with Digital Elevation Models
  publication-title: Environ. Model Assess.
  doi: 10.1007/s10666-004-6595-4
– volume: 2
  start-page: 1
  year: 2014
  ident: ref_45
  article-title: Short Communication: TopoToolbox 2—MATLAB-Based Software for Topographic Analysis and Modeling in Earth Surface Sciences
  publication-title: Earth Surf. Dyn.
  doi: 10.5194/esurf-2-1-2014
– volume: 36
  start-page: 549
  year: 1991
  ident: ref_32
  article-title: Isoerosivity and Erosion Risk Map for Sicily
  publication-title: Hydrol. Sci. J.
  doi: 10.1080/02626669109492543
– volume: 51
  start-page: 427
  year: 1996
  ident: ref_37
  article-title: A GIS Procedure for Automatically Calculating the USLE LS Factor on Topographically Complex Landscape Units
  publication-title: J. Soil Water Conserv.
– volume: 3
  start-page: 275
  year: 2016
  ident: ref_44
  article-title: Soil Erosion Estimation of Kuttiyadi River Basin Using RUSLE
  publication-title: Int. Adv. Res. J.Sci. Eng. Technol.
– volume: 5
  start-page: 117
  year: 2015
  ident: ref_46
  article-title: A New European Slope Length and Steepness Factor (LS-Factor) for Modeling Soil Erosion by Water
  publication-title: Geosciences
  doi: 10.3390/geosciences5020117
– ident: ref_73
  doi: 10.3390/hydrology5030043
– volume: 308
  start-page: 36
  year: 2017
  ident: ref_28
  article-title: An Improved Method for Calculating Slope Length (λ) and the LS Parameters of the Revised Universal Soil Loss Equation for Large Watersheds
  publication-title: Geoderma
  doi: 10.1016/j.geoderma.2017.08.006
– volume: 10
  start-page: 168
  year: 2019
  ident: ref_72
  article-title: Investigating Climate Variability and Long-Term Vegetation Activity across Heterogeneous Basilicata Agroecosystems
  publication-title: Geomat. Nat. Hazards Risk
  doi: 10.1080/19475705.2018.1513872
– volume: 8
  start-page: 119
  year: 2006
  ident: ref_5
  article-title: Soil Erosion: A Food and Environmental Threat
  publication-title: Environ. Dev. Sustain.
  doi: 10.1007/s10668-005-1262-8
– volume: 20
  start-page: 196
  year: 1993
  ident: ref_41
  article-title: GIS and Land-Surface-Subsurface Process Modeling
  publication-title: Environ. Modeling GIS
– volume: 27
  start-page: 1155
  year: 2018
  ident: ref_15
  article-title: Soil Biodiversity and Soil Erosion: It Is Time to Get Married
  publication-title: Glob. Ecol. Biogeogr.
  doi: 10.1111/geb.12782
– volume: 46
  start-page: 30
  year: 1991
  ident: ref_29
  article-title: RUSLE: Revised Universal Soil Loss Equation
  publication-title: J. Soil Water Conserv.
– volume: 479–480
  start-page: 189
  year: 2014
  ident: ref_55
  article-title: Soil Erodibility in Europe: A High-Resolution Dataset Based on LUCAS
  publication-title: Sci. Total Environ.
  doi: 10.1016/j.scitotenv.2014.02.010
– ident: ref_38
– ident: ref_17
– volume: 77
  start-page: 63
  year: 2018
  ident: ref_76
  article-title: Satellite Data and Soil Magnetic Susceptibility Measurements for Heavy Metals Monitoring: Findings from Agri Valley (Southern Italy)
  publication-title: Environ. Earth Sci.
  doi: 10.1007/s12665-017-7206-4
– ident: ref_20
– volume: 12
  start-page: 1053
  year: 2008
  ident: ref_71
  article-title: Estimation of Vegetation Cover Resilience from Satellite Time Series
  publication-title: Hydrol. Earth Syst. Sci.
  doi: 10.5194/hess-12-1053-2008
– ident: ref_93
– ident: ref_22
  doi: 10.3390/land10060554
– ident: ref_16
  doi: 10.3390/su14052738
– volume: 66
  start-page: 69
  year: 2015
  ident: ref_14
  article-title: A Geostatistics-Assisted Approach to the Deterministic Approximation of Climate Data
  publication-title: Environ. Model. Softw.
  doi: 10.1016/j.envsoft.2014.12.009
– volume: 1
  start-page: 217
  year: 2021
  ident: ref_81
  article-title: Understanding Land Changes for Sustainable Environmental Management: The Case of Basilicata Region (Southern Italy)
  publication-title: Pollutants
  doi: 10.3390/pollutants1040018
– ident: ref_82
– volume: 7
  start-page: 154
  year: 2016
  ident: ref_53
  article-title: Determining C Factor of Universal Soil Loss Equation (USLE) Based on Remote Sensing
  publication-title: Int. J. Environ. Rural. Dev.
– volume: 185
  start-page: 7409
  year: 2013
  ident: ref_56
  article-title: The LUCAS Topsoil Database and Derived Information on the Regional Variability of Cropland Topsoil Properties in the European Union
  publication-title: Environ. Monit. Assess.
  doi: 10.1007/s10661-013-3109-3
– volume: 2
  start-page: 111
  year: 2016
  ident: ref_2
  article-title: The Significance of Soils and Soil Science towards Realization of the United Nations Sustainable Development Goals
  publication-title: Soil
  doi: 10.5194/soil-2-111-2016
– volume: 106
  start-page: 333
  year: 2009
  ident: ref_59
  article-title: Mapping Badland Areas Using LANDSAT TM/ETM Satellite Imagery and Morphological Data
  publication-title: Geomorphology
  doi: 10.1016/j.geomorph.2008.11.012
– volume: 107
  start-page: 104365
  year: 2021
  ident: ref_79
  article-title: Farmland Abandonment, Public Goods and the CAP in a Marginal Area of Italy
  publication-title: Land Use Policy
  doi: 10.1016/j.landusepol.2019.104365
– volume: 780
  start-page: 146494
  year: 2021
  ident: ref_19
  article-title: Soil Erosion Modelling: A Global Review and Statistical Analysis
  publication-title: Sci. Total Environ.
  doi: 10.1016/j.scitotenv.2021.146494
– volume: 10
  start-page: 1563
  year: 2019
  ident: ref_26
  article-title: Integrated Approach of RUSLE, GIS and ESA Sentinel-2 Satellite Data for Post-Fire Soil Erosion Assessment in Basilicata Region (Southern Italy)
  publication-title: Geomat. Nat. Hazards Risk
  doi: 10.1080/19475705.2019.1578271
– volume: 2
  start-page: 150066
  year: 2015
  ident: ref_85
  article-title: The Climate Hazards Infrared Precipitation with Stations—A New Environmental Record for Monitoring Extremes
  publication-title: Sci. Data
  doi: 10.1038/sdata.2015.66
– volume: 5
  start-page: 180214
  year: 2018
  ident: ref_63
  article-title: Present and Future Köppen-Geiger Climate Classification Maps at 1-Km Resolution
  publication-title: Sci. Data
  doi: 10.1038/sdata.2018.214
– ident: ref_54
– ident: ref_77
  doi: 10.3390/w12072062
– ident: ref_90
  doi: 10.3390/cli5040090
– volume: 175
  start-page: 98
  year: 2012
  ident: ref_21
  article-title: Methodology for Estimating the Topographic Factor LS of RUSLE3D and USPED Using GIS
  publication-title: Geomorphology
– volume: 81
  start-page: 172
  year: 2010
  ident: ref_69
  article-title: Impact of Physico-Chemical Soil Properties on Erosion Features in the Aliano Area (Southern Italy)
  publication-title: Catena
  doi: 10.1016/j.catena.2010.03.001
– volume: 4
  start-page: 103
  year: 2015
  ident: ref_43
  article-title: Quantification of Soil Erosion by Water Using Gis and Remote Sensing Techniques: A Study of Pandavapura Taluk, Mandya District, Karnataka, India
  publication-title: ARPN J. Earth Sci.
– ident: ref_60
  doi: 10.3390/su13168750
SSID ssj0000913845
Score 2.3791199
Snippet Soil erosion is one of the most widespread soil degradation phenomena worldwide. Mediterranean landscapes, due to some peculiar characteristics, such as...
SourceID doaj
proquest
gale
crossref
SourceType Open Website
Aggregation Database
Enrichment Source
Index Database
StartPage 1010
SubjectTerms agricultural areas
Agricultural land
Agricultural production
Annual rainfall
Arable land
Aridity
Basilicata
Biodiversity
Climate
Climate change
Climate variability
cold
Complexity
data collection
Diachronic analysis
Environmental aspects
Erosion rates
Estimates
Fragility
GDP
geographical distribution
Gross Domestic Product
Ground stations
Heterogeneity
Italy
Land cover
land management
Land use
Landsat
Landsat satellites
Landscape
Mediterranean region
Mountain regions
Mountains
Natural resources
Organization for Economic Cooperation and Development
Precipitation
rain
Rainfall
Rainfall distribution
Remote sensing
Resource exploitation
RUSLE
Soil analysis
Soil degradation
Soil dynamics
Soil erosion
Universal Soil Loss Equation
Variability
Vegetation
Vegetation cover
water erosion
Watersheds
SummonAdditionalLinks – databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LS8QwEA7iRS_iE-uLCIoHKbZJ-shRV2UR9eADvIU8YXHtirse9Nc703bLeli8eG2nNJ1HZqYz84WQI--zULCQxhlW3YX0ZWxs4LGTOtdJaXUacDj57j7vP4ubl-xl5qgv7Alr4IEbxp0ZaUVIilAII4XgFsJzkVmX1kOgRQO2DT5vJpmq92CZ8lJkTac7h7z-DPsEMdeBB5NfPqiG6p-3Idde5nqVrLThIT1vlrVGFny1Tpam08PjDfJaT8zGl95qh4QdsCYdBfo4GgzpLbySDiqqKRZhgG3gjbyu6IPH1mPa6xCav72j5osiPtWHHmP7MzwLIqO94eANQ9BN8nx99dTrx-2BCbGFuGISO451NfTIAdIqZ_PcSJdqgzFfcMEknME-6_MgUy11wow1jNssmGCywoGItshiNar8NqEBTFMjnhszTjhjymC8k2WZSR1A7jIip1MWKtuiieOhFkMFWQUyXM0yPCLHHfV7g6Ixh-4CpdHRIPZ1fQE0QrUaof7SiIicoCwVWigsyep20AA-DLGu1HnBOILYSB6Rvam4VWu6Y4WjvRjIsDIih91tMDqspIDARp9AAx6dQawqy53_WPEuWWY4VYF_jdkeWZx8fPp9iHUm5qBW6x-AE_ww
  priority: 102
  providerName: Directory of Open Access Journals
Title Multi-Decadal Assessment of Soil Loss in a Mediterranean Region Characterized by Contrasting Local Climates
URI https://www.proquest.com/docview/2694023828
https://www.proquest.com/docview/2718285198
https://doaj.org/article/b9c4f07f74b9443c96645cd101142706
Volume 11
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lb9QwEB5BeygXxKOI0FIZiYoDipo4TmKfULu0qhCtUKFSb5af1YolaXe3B_j1zGS9AQ7lupkkG4_nPfMZ4G0IdWx5LPOaqu5CBZlbF6vcK9OYQjpTRhpOPjtvTi_Fp6v6KiXcFqmtcq0TB0Xte0c58gOauCT7wuWHm9ucTo2i6mo6QuMhbKIKlhh8bR4dn3-5GLMshHopRb3qeK8wvj-gfkGKeXArFv_YogGy_z7FPFibkyfwOLmJ7HDF16fwIHTPYGs9Rbx4Dt-Hydn8Y3DGE-EIsMn6yL720xn7jK9k044ZRsUYXD60SsF07CJQCzKbjEjNv4Jn9icjnKq5WVAbNN6LrGOT2fQHuaLbcHly_G1ymqeDE3KH_sUy9xXV18gyRwyvvGsaq3xpLPl-0UdbVBz1bWiiKo0yBbfO8srV0UZbtx5Z9QI2ur4LL4FFFFFDuG7ceuGtldEGr6SslYnIf5XB-_USapdQxelwi5nG6IIWXP-94Bnsj9Q3KzSNe-iOiBsjDWFgDz_082udREpb5UQs2tgKq4SoHAZuona-HMaD26LJ4B3xUpOk4l9yJg0c4IcR5pU-bHlFYDaqymB3zW6dRHih_2y4DN6Ml1H4qKKCDOvvkAYtO0efVclX_3_EDjziNDdBeWG-CxvL-V14jd7M0u6lLbs3ZAN-A2a593I
linkProvider ProQuest
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9NAEB6V9FAuiKcwFFgkKg7Iqr3r1x4QatNWKU0jVFqpN7PPKiLYJUmFyo_iNzLj2AYO5dZrPLbjndl57Mx8A_DGudTn3MdhSln3RLoi1MaL0EqVqagwKvbUnHw8yUZnycfz9HwNfnW9MFRW2enERlHb2tAZ-TZ1XJJ94cWHy-8hTY2i7Go3QmMlFkfu-geGbIv3h3vI3y3OD_ZPh6OwnSoQGjS-y9AKSj6R2fIYe1iTZVraWGlyjLz1OhIclZHLvIyVVBHXRnNhUq-9TnOL34HPvQPricBQZgDru_uTTyf9qQ6hbBZJuqqwF0JG21SfSDEWin70j-1rRgTcZAga63ZwH-61binbWcnRA1hz1UPY6LqWF4_ga9OpG-45oywR9oCerPbscz2dsTG-kk0rphglf5BdaAWdqtiJo5JnNuyRoX86y_Q1I1ysuVpQ2TXei6LChrPpN3J9H8PZrSzpExhUdeWeAvOoEhThyHFtE6t14bWzsihSqTzKmwzgXbeEpWlRzGmYxqzEaIYWvPx7wQPY6qkvV-gdN9DtEjd6GsLcbn6o5xdlu4VLLU3io9zniZZJIgwGiklqbNy0I-dRFsBb4mVJmgH_klFtgwN-GGFslTs5FwSeI0UAmx27y1ZlLMo_Ah7A6_4ybnbK4CDD6iukQU-Co48si2f_f8Qr2BidHo_L8eHk6Dnc5dSzQWfSfBMGy_mVe4Ge1FK_bMWXwZfb3jG_AU1INVE
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9NAEB6VVAIuiKcwFFgkKg7Iir1-7gGhNmnU0hJVhUq9LftEEcEuSSpUfhq_jhnHNnAot17jtR3vvHdmvgF45VzmC-7jMKOseypcGWrjk9AKlauoNCr21Jz8YZrvn6bvz7KzDfjV9cJQWWWnExtFbWtDZ-RD6rgk-8LLoW_LIo7Hk3fn30OaIEWZ1m6cxppFDt3lDwzflm8Pxkjrbc4ne59G-2E7YSA0aIhXoU0oEUUmzGMcYk2ea2FjpclJ8tbrKOGomFzuRayEirg2micm89rrrLD4TfjcG7BZYFQUDWBzd296fNKf8BDiZplm62r7JBHRkGoVKd5CMYj-sYPNuICrjEJj6SZ34U7rorKdNU_dgw1X3YdbXQfz8gF8bbp2w7EzytLCHtyT1Z59rGdzdoSvZLOKKUaJICQdWkSnKnbiqPyZjXqU6J_OMn3JCCNroZZUgo33Ituw0Xz2jdzgh3B6LVv6CAZVXbnHwDyqB0WYclzb1Gpdeu2sKMtMKI-8JwJ4022hNC2iOQ3WmEuMbGjD5d8bHsB2v_p8jeRxxbpdoka_hvC3mx_qxRfZirPUwqQ-KnyRapGmicGgMc2MjZvW5CLKA3hNtJSkJfAvGdU2O-CHEd6W3Cl4QkA6IglgqyO3bNXHUv5h9gBe9pdR8CmbgwSrL3ANehUc_WVRPvn_I17ATZQUeXQwPXwKtzm1b9DxNN-CwWpx4Z6hU7XSz1vuZfD5ugXmN2akOYY
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=Multi-Decadal+Assessment+of+Soil+Loss+in+a+Mediterranean+Region+Characterized+by+Contrasting+Local+Climates&rft.jtitle=Land+%28Basel%29&rft.au=Samela%2C+Caterina&rft.au=Imbrenda%2C+Vito&rft.au=Coluzzi%2C+Rosa&rft.au=Pace%2C+Letizia&rft.date=2022-07-02&rft.pub=MDPI+AG&rft.issn=2073-445X&rft.eissn=2073-445X&rft.volume=11&rft.issue=7&rft_id=info:doi/10.3390%2Fland11071010&rft.externalDocID=A723537693
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2073-445X&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2073-445X&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2073-445X&client=summon