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Retrospective studies of grazing-induced land degradation: a case study in central Crete, Greece

Identifieur interne : 000C18 ( PascalFrancis/Corpus ); précédent : 000C17; suivant : 000C19

Retrospective studies of grazing-induced land degradation: a case study in central Crete, Greece

Auteurs : P. Hostert ; A. Röder ; J. Hill ; T. Udelhoven ; G. Tsiourlis

Source :

RBID : Pascal:03-0523792

Descripteurs français

English descriptors

Abstract

Although it is well known that livestock husbandry has become more prevalent in Crete, Greece, during the last two decades, it is not well understood how grazing pressure differs spatially and how it influences grazed rangelands over time. To enhance the understanding of spatio-temporal degradation processes, a 20-year time series of Landsat Thematic Mapper and Multi-Spectral Scanner data is analysed. A set of vegetation fraction images is derived, based on a rigorous pre-processing scheme and linear spectral unmixing. Patterns of vegetation degradation, stability and regeneration are subsequently mapped by means of a trend analysis. It can be concluded that about 40% of the central Cretan rangelands show a declining trend in vegetation cover between 1977 and 1996. A deeper understanding of the underlying driving forces can be achieved through integrating remote sensing-derived information with other geoinformation sources. A comparison between local stress factors and vegetation development reveals that degradation processes are most evident when boundary conditions are favourable. It is, hence, assumed that increased grazing pressure is a major driving force for decreasing vegetation cover in the long term.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A05       @2 24
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A08 01  1  ENG  @1 Retrospective studies of grazing-induced land degradation: a case study in central Crete, Greece
A09 01  1  ENG  @1 Geospatial Knowledge Processing for Natural Resource Management
A11 01  1    @1 HOSTERT (P.)
A11 02  1    @1 RÖDER (A.)
A11 03  1    @1 HILL (J.)
A11 04  1    @1 UDELHOVEN (T.)
A11 05  1    @1 TSIOURLIS (G.)
A12 01  1    @1 BELWARD (Alan) @9 ed.
A12 02  1    @1 BINAGHI (Elisabetta) @9 ed.
A12 03  1    @1 BRIVIO (Pietro Alessandro) @9 ed.
A12 04  1    @1 LANZARONE (Gaetano Aurelio) @9 ed.
A12 05  1    @1 TOSI (Guido) @9 ed.
A14 01      @1 Department of Geoinformatics, Humboldt-University Berlin, Chausseestr. 86 @2 10115 Berlin @3 DEU @Z 1 aut.
A14 02      @1 Remote Sensing Department, University of Trier, Behringstr. 15 @2 54286 Trier @3 DEU @Z 2 aut. @Z 3 aut. @Z 4 aut.
A14 03      @1 NAGREF, Forest Research Institute, Ecology Lab. @2 57006 Vasilika-Thessaloniki @3 GRC @Z 5 aut.
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pR  
A30 01  1  ENG  @1 Geospatial Knowledge Processing for Natural Resource Management. International Workshop @3 Varese ITA @4 2001-06

Format Inist (serveur)

NO : PASCAL 03-0523792 INIST
ET : Retrospective studies of grazing-induced land degradation: a case study in central Crete, Greece
AU : HOSTERT (P.); RÖDER (A.); HILL (J.); UDELHOVEN (T.); TSIOURLIS (G.); BELWARD (Alan); BINAGHI (Elisabetta); BRIVIO (Pietro Alessandro); LANZARONE (Gaetano Aurelio); TOSI (Guido)
AF : Department of Geoinformatics, Humboldt-University Berlin, Chausseestr. 86/10115 Berlin/Allemagne (1 aut.); Remote Sensing Department, University of Trier, Behringstr. 15/54286 Trier/Allemagne (2 aut., 3 aut., 4 aut.); NAGREF, Forest Research Institute, Ecology Lab./57006 Vasilika-Thessaloniki/Grèce (5 aut.)
DT : Publication en série; Congrès; Niveau analytique
SO : International journal of remote sensing : (Print); ISSN 0143-1161; Coden IJSEDK; Royaume-Uni; Da. 2003; Vol. 24; No. 20; Pp. 4019-4034; Bibl. 2 p.
LA : Anglais
EA : Although it is well known that livestock husbandry has become more prevalent in Crete, Greece, during the last two decades, it is not well understood how grazing pressure differs spatially and how it influences grazed rangelands over time. To enhance the understanding of spatio-temporal degradation processes, a 20-year time series of Landsat Thematic Mapper and Multi-Spectral Scanner data is analysed. A set of vegetation fraction images is derived, based on a rigorous pre-processing scheme and linear spectral unmixing. Patterns of vegetation degradation, stability and regeneration are subsequently mapped by means of a trend analysis. It can be concluded that about 40% of the central Cretan rangelands show a declining trend in vegetation cover between 1977 and 1996. A deeper understanding of the underlying driving forces can be achieved through integrating remote sensing-derived information with other geoinformation sources. A comparison between local stress factors and vegetation development reveals that degradation processes are most evident when boundary conditions are favourable. It is, hence, assumed that increased grazing pressure is a major driving force for decreasing vegetation cover in the long term.
CC : 226B04; 225B04; 002A14A03; 001E01O04; 001E01M04
FD : Crète; Dégradation; Occupation sol; Variation spatiotemporelle; Etude cas; Puits; Pression; LANDSAT; Thematic Mapper; Végétation; Stabilité; Télédétection spatiale; Contrainte; Condition aux limites; Télédétection multispectrale; Cartographie; Surpâturage
FG : Grèce; Europe Sud; Europe
ED : Crete; degradation; land cover; spatiotemporal variations; case studies; wells; pressure; Landsat; Thematic Mapper; vegetation; stability; Space remote sensing; stress; boundary conditions; multispectral remote sensing; cartography; Overgrazing
EG : Greece; Southern Europe; Europe
SD : Cresta; Estudio caso; Presión; Vegetación; Estabilidad; Teledetección espacial; Coacción; Condiciones límites; Teledetección multiespectral; Cartografía; Sobrepasto
LO : INIST-19437.354000114708130090
ID : 03-0523792

Links to Exploration step

Pascal:03-0523792

Le document en format XML

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<s0>Although it is well known that livestock husbandry has become more prevalent in Crete, Greece, during the last two decades, it is not well understood how grazing pressure differs spatially and how it influences grazed rangelands over time. To enhance the understanding of spatio-temporal degradation processes, a 20-year time series of Landsat Thematic Mapper and Multi-Spectral Scanner data is analysed. A set of vegetation fraction images is derived, based on a rigorous pre-processing scheme and linear spectral unmixing. Patterns of vegetation degradation, stability and regeneration are subsequently mapped by means of a trend analysis. It can be concluded that about 40% of the central Cretan rangelands show a declining trend in vegetation cover between 1977 and 1996. A deeper understanding of the underlying driving forces can be achieved through integrating remote sensing-derived information with other geoinformation sources. A comparison between local stress factors and vegetation development reveals that degradation processes are most evident when boundary conditions are favourable. It is, hence, assumed that increased grazing pressure is a major driving force for decreasing vegetation cover in the long term.</s0>
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<fC02 i1="01" i2="2">
<s0>226B04</s0>
</fC02>
<fC02 i1="02" i2="2">
<s0>225B04</s0>
</fC02>
<fC02 i1="03" i2="X">
<s0>002A14A03</s0>
</fC02>
<fC02 i1="04" i2="X">
<s0>001E01O04</s0>
</fC02>
<fC02 i1="05" i2="X">
<s0>001E01M04</s0>
</fC02>
<fC03 i1="01" i2="2" l="FRE">
<s0>Crète</s0>
<s2>NG</s2>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="2" l="ENG">
<s0>Crete</s0>
<s2>NG</s2>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="2" l="SPA">
<s0>Cresta</s0>
<s2>NG</s2>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="2" l="FRE">
<s0>Dégradation</s0>
<s5>03</s5>
</fC03>
<fC03 i1="02" i2="2" l="ENG">
<s0>degradation</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="2" l="FRE">
<s0>Occupation sol</s0>
<s5>04</s5>
</fC03>
<fC03 i1="03" i2="2" l="ENG">
<s0>land cover</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="2" l="FRE">
<s0>Variation spatiotemporelle</s0>
<s5>05</s5>
</fC03>
<fC03 i1="04" i2="2" l="ENG">
<s0>spatiotemporal variations</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="2" l="FRE">
<s0>Etude cas</s0>
<s5>07</s5>
</fC03>
<fC03 i1="05" i2="2" l="ENG">
<s0>case studies</s0>
<s5>07</s5>
</fC03>
<fC03 i1="05" i2="2" l="SPA">
<s0>Estudio caso</s0>
<s5>07</s5>
</fC03>
<fC03 i1="06" i2="2" l="FRE">
<s0>Puits</s0>
<s5>08</s5>
</fC03>
<fC03 i1="06" i2="2" l="ENG">
<s0>wells</s0>
<s5>08</s5>
</fC03>
<fC03 i1="07" i2="2" l="FRE">
<s0>Pression</s0>
<s5>09</s5>
</fC03>
<fC03 i1="07" i2="2" l="ENG">
<s0>pressure</s0>
<s5>09</s5>
</fC03>
<fC03 i1="07" i2="2" l="SPA">
<s0>Presión</s0>
<s5>09</s5>
</fC03>
<fC03 i1="08" i2="2" l="FRE">
<s0>LANDSAT</s0>
<s5>10</s5>
</fC03>
<fC03 i1="08" i2="2" l="ENG">
<s0>Landsat</s0>
<s5>10</s5>
</fC03>
<fC03 i1="09" i2="2" l="FRE">
<s0>Thematic Mapper</s0>
<s5>11</s5>
</fC03>
<fC03 i1="09" i2="2" l="ENG">
<s0>Thematic Mapper</s0>
<s5>11</s5>
</fC03>
<fC03 i1="10" i2="2" l="FRE">
<s0>Végétation</s0>
<s5>12</s5>
</fC03>
<fC03 i1="10" i2="2" l="ENG">
<s0>vegetation</s0>
<s5>12</s5>
</fC03>
<fC03 i1="10" i2="2" l="SPA">
<s0>Vegetación</s0>
<s5>12</s5>
</fC03>
<fC03 i1="11" i2="2" l="FRE">
<s0>Stabilité</s0>
<s5>13</s5>
</fC03>
<fC03 i1="11" i2="2" l="ENG">
<s0>stability</s0>
<s5>13</s5>
</fC03>
<fC03 i1="11" i2="2" l="SPA">
<s0>Estabilidad</s0>
<s5>13</s5>
</fC03>
<fC03 i1="12" i2="2" l="FRE">
<s0>Télédétection spatiale</s0>
<s5>14</s5>
</fC03>
<fC03 i1="12" i2="2" l="ENG">
<s0>Space remote sensing</s0>
<s5>14</s5>
</fC03>
<fC03 i1="12" i2="2" l="SPA">
<s0>Teledetección espacial</s0>
<s5>14</s5>
</fC03>
<fC03 i1="13" i2="2" l="FRE">
<s0>Contrainte</s0>
<s5>15</s5>
</fC03>
<fC03 i1="13" i2="2" l="ENG">
<s0>stress</s0>
<s5>15</s5>
</fC03>
<fC03 i1="13" i2="2" l="SPA">
<s0>Coacción</s0>
<s5>15</s5>
</fC03>
<fC03 i1="14" i2="2" l="FRE">
<s0>Condition aux limites</s0>
<s5>16</s5>
</fC03>
<fC03 i1="14" i2="2" l="ENG">
<s0>boundary conditions</s0>
<s5>16</s5>
</fC03>
<fC03 i1="14" i2="2" l="SPA">
<s0>Condiciones límites</s0>
<s5>16</s5>
</fC03>
<fC03 i1="15" i2="2" l="FRE">
<s0>Télédétection multispectrale</s0>
<s5>17</s5>
</fC03>
<fC03 i1="15" i2="2" l="ENG">
<s0>multispectral remote sensing</s0>
<s5>17</s5>
</fC03>
<fC03 i1="15" i2="2" l="SPA">
<s0>Teledetección multiespectral</s0>
<s5>17</s5>
</fC03>
<fC03 i1="16" i2="2" l="FRE">
<s0>Cartographie</s0>
<s5>21</s5>
</fC03>
<fC03 i1="16" i2="2" l="ENG">
<s0>cartography</s0>
<s5>21</s5>
</fC03>
<fC03 i1="16" i2="2" l="SPA">
<s0>Cartografía</s0>
<s5>21</s5>
</fC03>
<fC03 i1="17" i2="X" l="FRE">
<s0>Surpâturage</s0>
<s5>26</s5>
</fC03>
<fC03 i1="17" i2="X" l="ENG">
<s0>Overgrazing</s0>
<s5>26</s5>
</fC03>
<fC03 i1="17" i2="X" l="SPA">
<s0>Sobrepasto</s0>
<s5>26</s5>
</fC03>
<fC06>
<s0>ILS</s0>
<s0>TAS</s0>
</fC06>
<fC07 i1="01" i2="2" l="FRE">
<s0>Grèce</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="01" i2="2" l="ENG">
<s0>Greece</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="01" i2="2" l="SPA">
<s0>Grecia</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="02" i2="2" l="FRE">
<s0>Europe Sud</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="02" i2="2" l="ENG">
<s0>Southern Europe</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="02" i2="2" l="SPA">
<s0>Europa Sur</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="03" i2="2" l="FRE">
<s0>Europe</s0>
</fC07>
<fC07 i1="03" i2="2" l="ENG">
<s0>Europe</s0>
</fC07>
<fC07 i1="03" i2="2" l="SPA">
<s0>Europa</s0>
</fC07>
<fN21>
<s1>349</s1>
</fN21>
<fN82>
<s1>PSI</s1>
</fN82>
</pA>
<pR>
<fA30 i1="01" i2="1" l="ENG">
<s1>Geospatial Knowledge Processing for Natural Resource Management. International Workshop</s1>
<s3>Varese ITA</s3>
<s4>2001-06</s4>
</fA30>
</pR>
</standard>
<server>
<NO>PASCAL 03-0523792 INIST</NO>
<ET>Retrospective studies of grazing-induced land degradation: a case study in central Crete, Greece</ET>
<AU>HOSTERT (P.); RÖDER (A.); HILL (J.); UDELHOVEN (T.); TSIOURLIS (G.); BELWARD (Alan); BINAGHI (Elisabetta); BRIVIO (Pietro Alessandro); LANZARONE (Gaetano Aurelio); TOSI (Guido)</AU>
<AF>Department of Geoinformatics, Humboldt-University Berlin, Chausseestr. 86/10115 Berlin/Allemagne (1 aut.); Remote Sensing Department, University of Trier, Behringstr. 15/54286 Trier/Allemagne (2 aut., 3 aut., 4 aut.); NAGREF, Forest Research Institute, Ecology Lab./57006 Vasilika-Thessaloniki/Grèce (5 aut.)</AF>
<DT>Publication en série; Congrès; Niveau analytique</DT>
<SO>International journal of remote sensing : (Print); ISSN 0143-1161; Coden IJSEDK; Royaume-Uni; Da. 2003; Vol. 24; No. 20; Pp. 4019-4034; Bibl. 2 p.</SO>
<LA>Anglais</LA>
<EA>Although it is well known that livestock husbandry has become more prevalent in Crete, Greece, during the last two decades, it is not well understood how grazing pressure differs spatially and how it influences grazed rangelands over time. To enhance the understanding of spatio-temporal degradation processes, a 20-year time series of Landsat Thematic Mapper and Multi-Spectral Scanner data is analysed. A set of vegetation fraction images is derived, based on a rigorous pre-processing scheme and linear spectral unmixing. Patterns of vegetation degradation, stability and regeneration are subsequently mapped by means of a trend analysis. It can be concluded that about 40% of the central Cretan rangelands show a declining trend in vegetation cover between 1977 and 1996. A deeper understanding of the underlying driving forces can be achieved through integrating remote sensing-derived information with other geoinformation sources. A comparison between local stress factors and vegetation development reveals that degradation processes are most evident when boundary conditions are favourable. It is, hence, assumed that increased grazing pressure is a major driving force for decreasing vegetation cover in the long term.</EA>
<CC>226B04; 225B04; 002A14A03; 001E01O04; 001E01M04</CC>
<FD>Crète; Dégradation; Occupation sol; Variation spatiotemporelle; Etude cas; Puits; Pression; LANDSAT; Thematic Mapper; Végétation; Stabilité; Télédétection spatiale; Contrainte; Condition aux limites; Télédétection multispectrale; Cartographie; Surpâturage</FD>
<FG>Grèce; Europe Sud; Europe</FG>
<ED>Crete; degradation; land cover; spatiotemporal variations; case studies; wells; pressure; Landsat; Thematic Mapper; vegetation; stability; Space remote sensing; stress; boundary conditions; multispectral remote sensing; cartography; Overgrazing</ED>
<EG>Greece; Southern Europe; Europe</EG>
<SD>Cresta; Estudio caso; Presión; Vegetación; Estabilidad; Teledetección espacial; Coacción; Condiciones límites; Teledetección multiespectral; Cartografía; Sobrepasto</SD>
<LO>INIST-19437.354000114708130090</LO>
<ID>03-0523792</ID>
</server>
</inist>
</record>

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