Vše

Co hledáte?

Vše
Projekty
Výsledky výzkumu
Subjekty

Rychlé hledání

  • Projekty podpořené TA ČR
  • Významné projekty
  • Projekty s nejvyšší státní podporou
  • Aktuálně běžící projekty

Chytré vyhledávání

  • Takto najdu konkrétní +slovo
  • Takto z výsledků -slovo zcela vynechám
  • “Takto můžu najít celou frázi”

Adaptive capacity of farming systems to climate change in Iran: Application of composite index approach

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F23%3A97486" target="_blank" >RIV/60460709:41330/23:97486 - isvavai.cz</a>

  • Výsledek na webu

    <a href="http://dx.doi.org/10.1016/j.agsy.2022.103537" target="_blank" >http://dx.doi.org/10.1016/j.agsy.2022.103537</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.agsy.2022.103537" target="_blank" >10.1016/j.agsy.2022.103537</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Adaptive capacity of farming systems to climate change in Iran: Application of composite index approach

  • Popis výsledku v původním jazyce

    CONTEXT: Climate change is expected to adversely affect agricultural production, particularly in Iran where the agricultural sector forms the backbone of the economy. This is true for the agriculture sector of the southwest region of Iran which is largely rain-fed and dominated by smallholder farmers with minimal livelihood alter-natives. Although several studies have been conducted on climate change, little has been done on the adaptive capacity of farmers within farming systems, especially in Iran.OBJECTIVE: The main objective of this study was to evaluate the adaptive capacity of four common farming systems (i.e., family farming system, cooperative farming system, commercialized farming system, and agro-enterprise farming system) in Fars province, southwestern Iran.METHODS: A seven-step approach was used to normalize, weigh, and aggregate 102 individual indicators within a composite adaptive capacity index that is dimensionless, ranging from 0 to 1, and 1 is the optimal value. The required data were collected using a cross-sectional survey from 1472 farmers within the four mentioned farming systems.RESULTS AND CONCLUSIONS: The results showed that the highest value was recorded by agro-enterprise for knowledge, perception and awareness, transport and physical accessibility, and institution and economic resources. Agro-enterprise scored higher in terms of awareness and action, which shows that these farming systems have a higher capacity for adaptation to the threat posed by climate diversity. Farmers in this farming system benefit from high formal education, high perceptions about the threat and risk of climate change, the occurrence of climatic events, causes for the change in climatic parameters, and awareness of climate change impactsSIGNIFICANCE: This paper recommends resilience-building interventions in the study area, which target in-dividuals with low adaptive capacities, especially farmers. The results can also assist agricultural policymakers to recognize which components and determinants of adaptive capacity should be prioritized to mitigate the threat of climate change to farming systems.

  • Název v anglickém jazyce

    Adaptive capacity of farming systems to climate change in Iran: Application of composite index approach

  • Popis výsledku anglicky

    CONTEXT: Climate change is expected to adversely affect agricultural production, particularly in Iran where the agricultural sector forms the backbone of the economy. This is true for the agriculture sector of the southwest region of Iran which is largely rain-fed and dominated by smallholder farmers with minimal livelihood alter-natives. Although several studies have been conducted on climate change, little has been done on the adaptive capacity of farmers within farming systems, especially in Iran.OBJECTIVE: The main objective of this study was to evaluate the adaptive capacity of four common farming systems (i.e., family farming system, cooperative farming system, commercialized farming system, and agro-enterprise farming system) in Fars province, southwestern Iran.METHODS: A seven-step approach was used to normalize, weigh, and aggregate 102 individual indicators within a composite adaptive capacity index that is dimensionless, ranging from 0 to 1, and 1 is the optimal value. The required data were collected using a cross-sectional survey from 1472 farmers within the four mentioned farming systems.RESULTS AND CONCLUSIONS: The results showed that the highest value was recorded by agro-enterprise for knowledge, perception and awareness, transport and physical accessibility, and institution and economic resources. Agro-enterprise scored higher in terms of awareness and action, which shows that these farming systems have a higher capacity for adaptation to the threat posed by climate diversity. Farmers in this farming system benefit from high formal education, high perceptions about the threat and risk of climate change, the occurrence of climatic events, causes for the change in climatic parameters, and awareness of climate change impactsSIGNIFICANCE: This paper recommends resilience-building interventions in the study area, which target in-dividuals with low adaptive capacities, especially farmers. The results can also assist agricultural policymakers to recognize which components and determinants of adaptive capacity should be prioritized to mitigate the threat of climate change to farming systems.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    40101 - Agriculture

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2023

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    AGRICULTURAL SYSTEMS

  • ISSN

    0308-521X

  • e-ISSN

    0308-521X

  • Svazek periodika

    204

  • Číslo periodika v rámci svazku

    103537

  • Stát vydavatele periodika

    CZ - Česká republika

  • Počet stran výsledku

    15

  • Strana od-do

    1-15

  • Kód UT WoS článku

    000926382300002

  • EID výsledku v databázi Scopus

    2-s2.0-85140959660