Farmers’ knowledge and perception of climatic risks and options for climate change adaptation: a case study from two Tanzanian villages
Abstract An in-depth understanding of the multiple layers of factors that shape farmers’ knowledge and perception of climatic risks and their adaptive responses is a prerequisite for well-targeted agricultural adaptation planning. However, while farmers’ perception is increasingly understood as bein...
Ausführliche Beschreibung
Autor*in: |
Below, Till B. [verfasserIn] Schmid, Julia C. [verfasserIn] Sieber, Stefan [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2014 |
---|
Schlagwörter: |
---|
Übergeordnetes Werk: |
Enthalten in: Regional Environmental Change - Springer-Verlag, 2001, 15(2014), 7 vom: 10. Mai, Seite 1169-1180 |
---|---|
Übergeordnetes Werk: |
volume:15 ; year:2014 ; number:7 ; day:10 ; month:05 ; pages:1169-1180 |
Links: |
---|
DOI / URN: |
10.1007/s10113-014-0620-1 |
---|
Katalog-ID: |
SPR008816689 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | SPR008816689 | ||
003 | DE-627 | ||
005 | 20201124052058.0 | ||
007 | cr uuu---uuuuu | ||
008 | 201005s2014 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1007/s10113-014-0620-1 |2 doi | |
035 | |a (DE-627)SPR008816689 | ||
035 | |a (SPR)s10113-014-0620-1-e | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Below, Till B. |e verfasserin |4 aut | |
245 | 1 | 0 | |a Farmers’ knowledge and perception of climatic risks and options for climate change adaptation: a case study from two Tanzanian villages |
264 | 1 | |c 2014 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a Abstract An in-depth understanding of the multiple layers of factors that shape farmers’ knowledge and perception of climatic risks and their adaptive responses is a prerequisite for well-targeted agricultural adaptation planning. However, while farmers’ perception is increasingly understood as being a key determinant, a conceptual framework that includes this focus of analyses is currently not available. Against this background, this study analyzes the agricultural adaptation context in two Tanzanian villages building on a newly developed agricultural adaptation and perception model (AAP). The AAP contains five dimensions as a frame of reference for empirical adaptation models: non-climatic determinants of vulnerability (1), general trends in livelihood strategies (2), perception of climatic trends (3), climate impacts in agriculture (4) and potentials and obstacles for adaptation (5). Empirical data were collected by applying various tools of rapid rural appraisal, a stakeholder workshop and supplementary interviews. The qualitative data were coded along the dimensions of the AAP and analyzed by means of qualitative content analysis. The results show that adaptation levels, sensitivities of the farming systems as well as perception and narratives about climatic and yield dynamics differ considerably among the two farming communities. Furthermore, farmers’ adaptation responses are influenced by both their framing of climatic trends as well as the multiple benefits that the local agricultural systems provide. Thus, for improving food security in the face of climate change, farmers’ perceptions and the multi-functionality of agricultural systems need to be explicitly recognized by agronomic adaptation research, and adaptation policy making should involve detailed vulnerability assessments. | ||
650 | 4 | |a Adaptation |7 (dpeaa)DE-He213 | |
650 | 4 | |a Climate change |7 (dpeaa)DE-He213 | |
650 | 4 | |a Perception |7 (dpeaa)DE-He213 | |
650 | 4 | |a Sub-Saharan Africa |7 (dpeaa)DE-He213 | |
650 | 4 | |a Tanzania |7 (dpeaa)DE-He213 | |
650 | 4 | |a Vulnerability |7 (dpeaa)DE-He213 | |
700 | 1 | |a Schmid, Julia C. |e verfasserin |4 aut | |
700 | 1 | |a Sieber, Stefan |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Regional Environmental Change |d Springer-Verlag, 2001 |g 15(2014), 7 vom: 10. Mai, Seite 1169-1180 |w (DE-627)SPR008808457 |7 nnns |
773 | 1 | 8 | |g volume:15 |g year:2014 |g number:7 |g day:10 |g month:05 |g pages:1169-1180 |
856 | 4 | 0 | |u https://dx.doi.org/10.1007/s10113-014-0620-1 |z lizenzpflichtig |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_SPRINGER | ||
951 | |a AR | ||
952 | |d 15 |j 2014 |e 7 |b 10 |c 05 |h 1169-1180 |
author_variant |
t b b tb tbb j c s jc jcs s s ss |
---|---|
matchkey_str |
belowtillbschmidjuliacsieberstefan:2014----:amrkoldenpretoociairssnotosociaehnedpaincs |
hierarchy_sort_str |
2014 |
publishDate |
2014 |
allfields |
10.1007/s10113-014-0620-1 doi (DE-627)SPR008816689 (SPR)s10113-014-0620-1-e DE-627 ger DE-627 rakwb eng Below, Till B. verfasserin aut Farmers’ knowledge and perception of climatic risks and options for climate change adaptation: a case study from two Tanzanian villages 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract An in-depth understanding of the multiple layers of factors that shape farmers’ knowledge and perception of climatic risks and their adaptive responses is a prerequisite for well-targeted agricultural adaptation planning. However, while farmers’ perception is increasingly understood as being a key determinant, a conceptual framework that includes this focus of analyses is currently not available. Against this background, this study analyzes the agricultural adaptation context in two Tanzanian villages building on a newly developed agricultural adaptation and perception model (AAP). The AAP contains five dimensions as a frame of reference for empirical adaptation models: non-climatic determinants of vulnerability (1), general trends in livelihood strategies (2), perception of climatic trends (3), climate impacts in agriculture (4) and potentials and obstacles for adaptation (5). Empirical data were collected by applying various tools of rapid rural appraisal, a stakeholder workshop and supplementary interviews. The qualitative data were coded along the dimensions of the AAP and analyzed by means of qualitative content analysis. The results show that adaptation levels, sensitivities of the farming systems as well as perception and narratives about climatic and yield dynamics differ considerably among the two farming communities. Furthermore, farmers’ adaptation responses are influenced by both their framing of climatic trends as well as the multiple benefits that the local agricultural systems provide. Thus, for improving food security in the face of climate change, farmers’ perceptions and the multi-functionality of agricultural systems need to be explicitly recognized by agronomic adaptation research, and adaptation policy making should involve detailed vulnerability assessments. Adaptation (dpeaa)DE-He213 Climate change (dpeaa)DE-He213 Perception (dpeaa)DE-He213 Sub-Saharan Africa (dpeaa)DE-He213 Tanzania (dpeaa)DE-He213 Vulnerability (dpeaa)DE-He213 Schmid, Julia C. verfasserin aut Sieber, Stefan verfasserin aut Enthalten in Regional Environmental Change Springer-Verlag, 2001 15(2014), 7 vom: 10. Mai, Seite 1169-1180 (DE-627)SPR008808457 nnns volume:15 year:2014 number:7 day:10 month:05 pages:1169-1180 https://dx.doi.org/10.1007/s10113-014-0620-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 15 2014 7 10 05 1169-1180 |
spelling |
10.1007/s10113-014-0620-1 doi (DE-627)SPR008816689 (SPR)s10113-014-0620-1-e DE-627 ger DE-627 rakwb eng Below, Till B. verfasserin aut Farmers’ knowledge and perception of climatic risks and options for climate change adaptation: a case study from two Tanzanian villages 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract An in-depth understanding of the multiple layers of factors that shape farmers’ knowledge and perception of climatic risks and their adaptive responses is a prerequisite for well-targeted agricultural adaptation planning. However, while farmers’ perception is increasingly understood as being a key determinant, a conceptual framework that includes this focus of analyses is currently not available. Against this background, this study analyzes the agricultural adaptation context in two Tanzanian villages building on a newly developed agricultural adaptation and perception model (AAP). The AAP contains five dimensions as a frame of reference for empirical adaptation models: non-climatic determinants of vulnerability (1), general trends in livelihood strategies (2), perception of climatic trends (3), climate impacts in agriculture (4) and potentials and obstacles for adaptation (5). Empirical data were collected by applying various tools of rapid rural appraisal, a stakeholder workshop and supplementary interviews. The qualitative data were coded along the dimensions of the AAP and analyzed by means of qualitative content analysis. The results show that adaptation levels, sensitivities of the farming systems as well as perception and narratives about climatic and yield dynamics differ considerably among the two farming communities. Furthermore, farmers’ adaptation responses are influenced by both their framing of climatic trends as well as the multiple benefits that the local agricultural systems provide. Thus, for improving food security in the face of climate change, farmers’ perceptions and the multi-functionality of agricultural systems need to be explicitly recognized by agronomic adaptation research, and adaptation policy making should involve detailed vulnerability assessments. Adaptation (dpeaa)DE-He213 Climate change (dpeaa)DE-He213 Perception (dpeaa)DE-He213 Sub-Saharan Africa (dpeaa)DE-He213 Tanzania (dpeaa)DE-He213 Vulnerability (dpeaa)DE-He213 Schmid, Julia C. verfasserin aut Sieber, Stefan verfasserin aut Enthalten in Regional Environmental Change Springer-Verlag, 2001 15(2014), 7 vom: 10. Mai, Seite 1169-1180 (DE-627)SPR008808457 nnns volume:15 year:2014 number:7 day:10 month:05 pages:1169-1180 https://dx.doi.org/10.1007/s10113-014-0620-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 15 2014 7 10 05 1169-1180 |
allfields_unstemmed |
10.1007/s10113-014-0620-1 doi (DE-627)SPR008816689 (SPR)s10113-014-0620-1-e DE-627 ger DE-627 rakwb eng Below, Till B. verfasserin aut Farmers’ knowledge and perception of climatic risks and options for climate change adaptation: a case study from two Tanzanian villages 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract An in-depth understanding of the multiple layers of factors that shape farmers’ knowledge and perception of climatic risks and their adaptive responses is a prerequisite for well-targeted agricultural adaptation planning. However, while farmers’ perception is increasingly understood as being a key determinant, a conceptual framework that includes this focus of analyses is currently not available. Against this background, this study analyzes the agricultural adaptation context in two Tanzanian villages building on a newly developed agricultural adaptation and perception model (AAP). The AAP contains five dimensions as a frame of reference for empirical adaptation models: non-climatic determinants of vulnerability (1), general trends in livelihood strategies (2), perception of climatic trends (3), climate impacts in agriculture (4) and potentials and obstacles for adaptation (5). Empirical data were collected by applying various tools of rapid rural appraisal, a stakeholder workshop and supplementary interviews. The qualitative data were coded along the dimensions of the AAP and analyzed by means of qualitative content analysis. The results show that adaptation levels, sensitivities of the farming systems as well as perception and narratives about climatic and yield dynamics differ considerably among the two farming communities. Furthermore, farmers’ adaptation responses are influenced by both their framing of climatic trends as well as the multiple benefits that the local agricultural systems provide. Thus, for improving food security in the face of climate change, farmers’ perceptions and the multi-functionality of agricultural systems need to be explicitly recognized by agronomic adaptation research, and adaptation policy making should involve detailed vulnerability assessments. Adaptation (dpeaa)DE-He213 Climate change (dpeaa)DE-He213 Perception (dpeaa)DE-He213 Sub-Saharan Africa (dpeaa)DE-He213 Tanzania (dpeaa)DE-He213 Vulnerability (dpeaa)DE-He213 Schmid, Julia C. verfasserin aut Sieber, Stefan verfasserin aut Enthalten in Regional Environmental Change Springer-Verlag, 2001 15(2014), 7 vom: 10. Mai, Seite 1169-1180 (DE-627)SPR008808457 nnns volume:15 year:2014 number:7 day:10 month:05 pages:1169-1180 https://dx.doi.org/10.1007/s10113-014-0620-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 15 2014 7 10 05 1169-1180 |
allfieldsGer |
10.1007/s10113-014-0620-1 doi (DE-627)SPR008816689 (SPR)s10113-014-0620-1-e DE-627 ger DE-627 rakwb eng Below, Till B. verfasserin aut Farmers’ knowledge and perception of climatic risks and options for climate change adaptation: a case study from two Tanzanian villages 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract An in-depth understanding of the multiple layers of factors that shape farmers’ knowledge and perception of climatic risks and their adaptive responses is a prerequisite for well-targeted agricultural adaptation planning. However, while farmers’ perception is increasingly understood as being a key determinant, a conceptual framework that includes this focus of analyses is currently not available. Against this background, this study analyzes the agricultural adaptation context in two Tanzanian villages building on a newly developed agricultural adaptation and perception model (AAP). The AAP contains five dimensions as a frame of reference for empirical adaptation models: non-climatic determinants of vulnerability (1), general trends in livelihood strategies (2), perception of climatic trends (3), climate impacts in agriculture (4) and potentials and obstacles for adaptation (5). Empirical data were collected by applying various tools of rapid rural appraisal, a stakeholder workshop and supplementary interviews. The qualitative data were coded along the dimensions of the AAP and analyzed by means of qualitative content analysis. The results show that adaptation levels, sensitivities of the farming systems as well as perception and narratives about climatic and yield dynamics differ considerably among the two farming communities. Furthermore, farmers’ adaptation responses are influenced by both their framing of climatic trends as well as the multiple benefits that the local agricultural systems provide. Thus, for improving food security in the face of climate change, farmers’ perceptions and the multi-functionality of agricultural systems need to be explicitly recognized by agronomic adaptation research, and adaptation policy making should involve detailed vulnerability assessments. Adaptation (dpeaa)DE-He213 Climate change (dpeaa)DE-He213 Perception (dpeaa)DE-He213 Sub-Saharan Africa (dpeaa)DE-He213 Tanzania (dpeaa)DE-He213 Vulnerability (dpeaa)DE-He213 Schmid, Julia C. verfasserin aut Sieber, Stefan verfasserin aut Enthalten in Regional Environmental Change Springer-Verlag, 2001 15(2014), 7 vom: 10. Mai, Seite 1169-1180 (DE-627)SPR008808457 nnns volume:15 year:2014 number:7 day:10 month:05 pages:1169-1180 https://dx.doi.org/10.1007/s10113-014-0620-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 15 2014 7 10 05 1169-1180 |
allfieldsSound |
10.1007/s10113-014-0620-1 doi (DE-627)SPR008816689 (SPR)s10113-014-0620-1-e DE-627 ger DE-627 rakwb eng Below, Till B. verfasserin aut Farmers’ knowledge and perception of climatic risks and options for climate change adaptation: a case study from two Tanzanian villages 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract An in-depth understanding of the multiple layers of factors that shape farmers’ knowledge and perception of climatic risks and their adaptive responses is a prerequisite for well-targeted agricultural adaptation planning. However, while farmers’ perception is increasingly understood as being a key determinant, a conceptual framework that includes this focus of analyses is currently not available. Against this background, this study analyzes the agricultural adaptation context in two Tanzanian villages building on a newly developed agricultural adaptation and perception model (AAP). The AAP contains five dimensions as a frame of reference for empirical adaptation models: non-climatic determinants of vulnerability (1), general trends in livelihood strategies (2), perception of climatic trends (3), climate impacts in agriculture (4) and potentials and obstacles for adaptation (5). Empirical data were collected by applying various tools of rapid rural appraisal, a stakeholder workshop and supplementary interviews. The qualitative data were coded along the dimensions of the AAP and analyzed by means of qualitative content analysis. The results show that adaptation levels, sensitivities of the farming systems as well as perception and narratives about climatic and yield dynamics differ considerably among the two farming communities. Furthermore, farmers’ adaptation responses are influenced by both their framing of climatic trends as well as the multiple benefits that the local agricultural systems provide. Thus, for improving food security in the face of climate change, farmers’ perceptions and the multi-functionality of agricultural systems need to be explicitly recognized by agronomic adaptation research, and adaptation policy making should involve detailed vulnerability assessments. Adaptation (dpeaa)DE-He213 Climate change (dpeaa)DE-He213 Perception (dpeaa)DE-He213 Sub-Saharan Africa (dpeaa)DE-He213 Tanzania (dpeaa)DE-He213 Vulnerability (dpeaa)DE-He213 Schmid, Julia C. verfasserin aut Sieber, Stefan verfasserin aut Enthalten in Regional Environmental Change Springer-Verlag, 2001 15(2014), 7 vom: 10. Mai, Seite 1169-1180 (DE-627)SPR008808457 nnns volume:15 year:2014 number:7 day:10 month:05 pages:1169-1180 https://dx.doi.org/10.1007/s10113-014-0620-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 15 2014 7 10 05 1169-1180 |
language |
English |
source |
Enthalten in Regional Environmental Change 15(2014), 7 vom: 10. Mai, Seite 1169-1180 volume:15 year:2014 number:7 day:10 month:05 pages:1169-1180 |
sourceStr |
Enthalten in Regional Environmental Change 15(2014), 7 vom: 10. Mai, Seite 1169-1180 volume:15 year:2014 number:7 day:10 month:05 pages:1169-1180 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
Adaptation Climate change Perception Sub-Saharan Africa Tanzania Vulnerability |
isfreeaccess_bool |
false |
container_title |
Regional Environmental Change |
authorswithroles_txt_mv |
Below, Till B. @@aut@@ Schmid, Julia C. @@aut@@ Sieber, Stefan @@aut@@ |
publishDateDaySort_date |
2014-05-10T00:00:00Z |
hierarchy_top_id |
SPR008808457 |
id |
SPR008816689 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR008816689</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20201124052058.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201005s2014 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10113-014-0620-1</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR008816689</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s10113-014-0620-1-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Below, Till B.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Farmers’ knowledge and perception of climatic risks and options for climate change adaptation: a case study from two Tanzanian villages</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2014</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract An in-depth understanding of the multiple layers of factors that shape farmers’ knowledge and perception of climatic risks and their adaptive responses is a prerequisite for well-targeted agricultural adaptation planning. However, while farmers’ perception is increasingly understood as being a key determinant, a conceptual framework that includes this focus of analyses is currently not available. Against this background, this study analyzes the agricultural adaptation context in two Tanzanian villages building on a newly developed agricultural adaptation and perception model (AAP). The AAP contains five dimensions as a frame of reference for empirical adaptation models: non-climatic determinants of vulnerability (1), general trends in livelihood strategies (2), perception of climatic trends (3), climate impacts in agriculture (4) and potentials and obstacles for adaptation (5). Empirical data were collected by applying various tools of rapid rural appraisal, a stakeholder workshop and supplementary interviews. The qualitative data were coded along the dimensions of the AAP and analyzed by means of qualitative content analysis. The results show that adaptation levels, sensitivities of the farming systems as well as perception and narratives about climatic and yield dynamics differ considerably among the two farming communities. Furthermore, farmers’ adaptation responses are influenced by both their framing of climatic trends as well as the multiple benefits that the local agricultural systems provide. Thus, for improving food security in the face of climate change, farmers’ perceptions and the multi-functionality of agricultural systems need to be explicitly recognized by agronomic adaptation research, and adaptation policy making should involve detailed vulnerability assessments.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Adaptation</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Climate change</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Perception</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sub-Saharan Africa</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Tanzania</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vulnerability</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Schmid, Julia C.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sieber, Stefan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Regional Environmental Change</subfield><subfield code="d">Springer-Verlag, 2001</subfield><subfield code="g">15(2014), 7 vom: 10. Mai, Seite 1169-1180</subfield><subfield code="w">(DE-627)SPR008808457</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:15</subfield><subfield code="g">year:2014</subfield><subfield code="g">number:7</subfield><subfield code="g">day:10</subfield><subfield code="g">month:05</subfield><subfield code="g">pages:1169-1180</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s10113-014-0620-1</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">15</subfield><subfield code="j">2014</subfield><subfield code="e">7</subfield><subfield code="b">10</subfield><subfield code="c">05</subfield><subfield code="h">1169-1180</subfield></datafield></record></collection>
|
author |
Below, Till B. |
spellingShingle |
Below, Till B. misc Adaptation misc Climate change misc Perception misc Sub-Saharan Africa misc Tanzania misc Vulnerability Farmers’ knowledge and perception of climatic risks and options for climate change adaptation: a case study from two Tanzanian villages |
authorStr |
Below, Till B. |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)SPR008808457 |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut aut aut |
collection |
springer |
remote_str |
true |
illustrated |
Not Illustrated |
topic_title |
Farmers’ knowledge and perception of climatic risks and options for climate change adaptation: a case study from two Tanzanian villages Adaptation (dpeaa)DE-He213 Climate change (dpeaa)DE-He213 Perception (dpeaa)DE-He213 Sub-Saharan Africa (dpeaa)DE-He213 Tanzania (dpeaa)DE-He213 Vulnerability (dpeaa)DE-He213 |
topic |
misc Adaptation misc Climate change misc Perception misc Sub-Saharan Africa misc Tanzania misc Vulnerability |
topic_unstemmed |
misc Adaptation misc Climate change misc Perception misc Sub-Saharan Africa misc Tanzania misc Vulnerability |
topic_browse |
misc Adaptation misc Climate change misc Perception misc Sub-Saharan Africa misc Tanzania misc Vulnerability |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
Regional Environmental Change |
hierarchy_parent_id |
SPR008808457 |
hierarchy_top_title |
Regional Environmental Change |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)SPR008808457 |
title |
Farmers’ knowledge and perception of climatic risks and options for climate change adaptation: a case study from two Tanzanian villages |
ctrlnum |
(DE-627)SPR008816689 (SPR)s10113-014-0620-1-e |
title_full |
Farmers’ knowledge and perception of climatic risks and options for climate change adaptation: a case study from two Tanzanian villages |
author_sort |
Below, Till B. |
journal |
Regional Environmental Change |
journalStr |
Regional Environmental Change |
lang_code |
eng |
isOA_bool |
false |
recordtype |
marc |
publishDateSort |
2014 |
contenttype_str_mv |
txt |
container_start_page |
1169 |
author_browse |
Below, Till B. Schmid, Julia C. Sieber, Stefan |
container_volume |
15 |
format_se |
Elektronische Aufsätze |
author-letter |
Below, Till B. |
doi_str_mv |
10.1007/s10113-014-0620-1 |
author2-role |
verfasserin |
title_sort |
farmers’ knowledge and perception of climatic risks and options for climate change adaptation: a case study from two tanzanian villages |
title_auth |
Farmers’ knowledge and perception of climatic risks and options for climate change adaptation: a case study from two Tanzanian villages |
abstract |
Abstract An in-depth understanding of the multiple layers of factors that shape farmers’ knowledge and perception of climatic risks and their adaptive responses is a prerequisite for well-targeted agricultural adaptation planning. However, while farmers’ perception is increasingly understood as being a key determinant, a conceptual framework that includes this focus of analyses is currently not available. Against this background, this study analyzes the agricultural adaptation context in two Tanzanian villages building on a newly developed agricultural adaptation and perception model (AAP). The AAP contains five dimensions as a frame of reference for empirical adaptation models: non-climatic determinants of vulnerability (1), general trends in livelihood strategies (2), perception of climatic trends (3), climate impacts in agriculture (4) and potentials and obstacles for adaptation (5). Empirical data were collected by applying various tools of rapid rural appraisal, a stakeholder workshop and supplementary interviews. The qualitative data were coded along the dimensions of the AAP and analyzed by means of qualitative content analysis. The results show that adaptation levels, sensitivities of the farming systems as well as perception and narratives about climatic and yield dynamics differ considerably among the two farming communities. Furthermore, farmers’ adaptation responses are influenced by both their framing of climatic trends as well as the multiple benefits that the local agricultural systems provide. Thus, for improving food security in the face of climate change, farmers’ perceptions and the multi-functionality of agricultural systems need to be explicitly recognized by agronomic adaptation research, and adaptation policy making should involve detailed vulnerability assessments. |
abstractGer |
Abstract An in-depth understanding of the multiple layers of factors that shape farmers’ knowledge and perception of climatic risks and their adaptive responses is a prerequisite for well-targeted agricultural adaptation planning. However, while farmers’ perception is increasingly understood as being a key determinant, a conceptual framework that includes this focus of analyses is currently not available. Against this background, this study analyzes the agricultural adaptation context in two Tanzanian villages building on a newly developed agricultural adaptation and perception model (AAP). The AAP contains five dimensions as a frame of reference for empirical adaptation models: non-climatic determinants of vulnerability (1), general trends in livelihood strategies (2), perception of climatic trends (3), climate impacts in agriculture (4) and potentials and obstacles for adaptation (5). Empirical data were collected by applying various tools of rapid rural appraisal, a stakeholder workshop and supplementary interviews. The qualitative data were coded along the dimensions of the AAP and analyzed by means of qualitative content analysis. The results show that adaptation levels, sensitivities of the farming systems as well as perception and narratives about climatic and yield dynamics differ considerably among the two farming communities. Furthermore, farmers’ adaptation responses are influenced by both their framing of climatic trends as well as the multiple benefits that the local agricultural systems provide. Thus, for improving food security in the face of climate change, farmers’ perceptions and the multi-functionality of agricultural systems need to be explicitly recognized by agronomic adaptation research, and adaptation policy making should involve detailed vulnerability assessments. |
abstract_unstemmed |
Abstract An in-depth understanding of the multiple layers of factors that shape farmers’ knowledge and perception of climatic risks and their adaptive responses is a prerequisite for well-targeted agricultural adaptation planning. However, while farmers’ perception is increasingly understood as being a key determinant, a conceptual framework that includes this focus of analyses is currently not available. Against this background, this study analyzes the agricultural adaptation context in two Tanzanian villages building on a newly developed agricultural adaptation and perception model (AAP). The AAP contains five dimensions as a frame of reference for empirical adaptation models: non-climatic determinants of vulnerability (1), general trends in livelihood strategies (2), perception of climatic trends (3), climate impacts in agriculture (4) and potentials and obstacles for adaptation (5). Empirical data were collected by applying various tools of rapid rural appraisal, a stakeholder workshop and supplementary interviews. The qualitative data were coded along the dimensions of the AAP and analyzed by means of qualitative content analysis. The results show that adaptation levels, sensitivities of the farming systems as well as perception and narratives about climatic and yield dynamics differ considerably among the two farming communities. Furthermore, farmers’ adaptation responses are influenced by both their framing of climatic trends as well as the multiple benefits that the local agricultural systems provide. Thus, for improving food security in the face of climate change, farmers’ perceptions and the multi-functionality of agricultural systems need to be explicitly recognized by agronomic adaptation research, and adaptation policy making should involve detailed vulnerability assessments. |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER |
container_issue |
7 |
title_short |
Farmers’ knowledge and perception of climatic risks and options for climate change adaptation: a case study from two Tanzanian villages |
url |
https://dx.doi.org/10.1007/s10113-014-0620-1 |
remote_bool |
true |
author2 |
Schmid, Julia C. Sieber, Stefan |
author2Str |
Schmid, Julia C. Sieber, Stefan |
ppnlink |
SPR008808457 |
mediatype_str_mv |
c |
isOA_txt |
false |
hochschulschrift_bool |
false |
doi_str |
10.1007/s10113-014-0620-1 |
up_date |
2024-07-03T23:18:42.067Z |
_version_ |
1803601808791175168 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR008816689</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20201124052058.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201005s2014 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10113-014-0620-1</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR008816689</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s10113-014-0620-1-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Below, Till B.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Farmers’ knowledge and perception of climatic risks and options for climate change adaptation: a case study from two Tanzanian villages</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2014</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract An in-depth understanding of the multiple layers of factors that shape farmers’ knowledge and perception of climatic risks and their adaptive responses is a prerequisite for well-targeted agricultural adaptation planning. However, while farmers’ perception is increasingly understood as being a key determinant, a conceptual framework that includes this focus of analyses is currently not available. Against this background, this study analyzes the agricultural adaptation context in two Tanzanian villages building on a newly developed agricultural adaptation and perception model (AAP). The AAP contains five dimensions as a frame of reference for empirical adaptation models: non-climatic determinants of vulnerability (1), general trends in livelihood strategies (2), perception of climatic trends (3), climate impacts in agriculture (4) and potentials and obstacles for adaptation (5). Empirical data were collected by applying various tools of rapid rural appraisal, a stakeholder workshop and supplementary interviews. The qualitative data were coded along the dimensions of the AAP and analyzed by means of qualitative content analysis. The results show that adaptation levels, sensitivities of the farming systems as well as perception and narratives about climatic and yield dynamics differ considerably among the two farming communities. Furthermore, farmers’ adaptation responses are influenced by both their framing of climatic trends as well as the multiple benefits that the local agricultural systems provide. Thus, for improving food security in the face of climate change, farmers’ perceptions and the multi-functionality of agricultural systems need to be explicitly recognized by agronomic adaptation research, and adaptation policy making should involve detailed vulnerability assessments.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Adaptation</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Climate change</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Perception</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sub-Saharan Africa</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Tanzania</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vulnerability</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Schmid, Julia C.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sieber, Stefan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Regional Environmental Change</subfield><subfield code="d">Springer-Verlag, 2001</subfield><subfield code="g">15(2014), 7 vom: 10. Mai, Seite 1169-1180</subfield><subfield code="w">(DE-627)SPR008808457</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:15</subfield><subfield code="g">year:2014</subfield><subfield code="g">number:7</subfield><subfield code="g">day:10</subfield><subfield code="g">month:05</subfield><subfield code="g">pages:1169-1180</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s10113-014-0620-1</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">15</subfield><subfield code="j">2014</subfield><subfield code="e">7</subfield><subfield code="b">10</subfield><subfield code="c">05</subfield><subfield code="h">1169-1180</subfield></datafield></record></collection>
|
score |
7.400403 |