서브메뉴
검색
Development of a Novel, Holistic Framework to Evaluate Agricultural Climate Resilience
Development of a Novel, Holistic Framework to Evaluate Agricultural Climate Resilience
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202105640
- ISBN
- 9798265476432
- DDC
- 630
- 저자명
- Moller, Kieron.
- 서명/저자
- Development of a Novel, Holistic Framework to Evaluate Agricultural Climate Resilience
- 발행사항
- [Sl] : Michigan State University, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 208 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-06, Section: A.
- 주기사항
- Advisor: Nejadhashemi, Amirpouyan.
- 학위논문주기
- Thesis (Ph.D.)--Michigan State University, 2025.
- 초록/해제
- 요약Climate change and other global stressors pose profound threats to agriculture, underscoring the urgent need for robust methods to evaluate and strengthen farmer resilience. This study develops and applies a novel, multidimensional framework to quantify resilience in Senegal's Groundnut Basin by integrating economic, nutritional, and risk-based indicators. Resilience is conceptualized through the dynamic sequence of failure and recovery in both net cash farm income (NCFI) and Calorie intake, with risk preferences incorporated via certainty equivalents (CE). Using integrated crop (APSIM) and whole-farm (FARMSIM) models, we simulate the impacts of climate variability (dry, normal, and wet) and alternative agricultural practices (combinations of planting date and plant density) across four economic classes of farmers (very poor, poor, middle, and rich). The framework addresses limitations of conventional resilience assessments by explicitly quantifying resilience, capturing the interplay of failure and recovery dynamics, and reducing reliance on perception-based measures. Results highlight the heterogeneous and sometimes counterintuitive nature of resilience outcomes: poorer households may outperform wealthier ones under certain climate scenarios, while wealthier households exhibit lower nutritional resilience despite higher incomes. Persistent deficiencies in Calories and key nutrients (calcium, iron, vitamin A) are observed across all groups, particularly under extreme climate conditions. Alternative practices enhance resilience in most contexts, while farmers tend to be more resilient under dry conditions than under wet conditions. By combining econometric analysis with biophysical and economic modeling, this study presents a flexible, data-driven framework that enhances resilience measurement and provides actionable insights for policy interventions. The approach is broadly adaptable across contexts and contributes to developing targeted strategies to enhance smallholder resilience and advance the Sustainable Development Goals.
- 일반주제명
- Agriculture
- 일반주제명
- Climate change
- 키워드
- Food security
- 키워드
- Food systems
- 기타저자
- Michigan State University Biosystems Engineering - Doctor of Philosophy
- 기본자료저록
- Dissertations Abstracts International. 87-06A.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008260126s2025 us c eng d■001000017360931
■00520260202105640
■006m o d
■007cr#unu||||||||
■020 ▼a9798265476432
■035 ▼a(MiAaPQ)AAI32396932
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a630
■1001 ▼aMoller, Kieron.
■24510▼aDevelopment of a Novel, Holistic Framework to Evaluate Agricultural Climate Resilience
■260 ▼a[Sl]▼bMichigan State University▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a208 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-06, Section: A.
■500 ▼aAdvisor: Nejadhashemi, Amirpouyan.
■5021 ▼aThesis (Ph.D.)--Michigan State University, 2025.
■520 ▼aClimate change and other global stressors pose profound threats to agriculture, underscoring the urgent need for robust methods to evaluate and strengthen farmer resilience. This study develops and applies a novel, multidimensional framework to quantify resilience in Senegal's Groundnut Basin by integrating economic, nutritional, and risk-based indicators. Resilience is conceptualized through the dynamic sequence of failure and recovery in both net cash farm income (NCFI) and Calorie intake, with risk preferences incorporated via certainty equivalents (CE). Using integrated crop (APSIM) and whole-farm (FARMSIM) models, we simulate the impacts of climate variability (dry, normal, and wet) and alternative agricultural practices (combinations of planting date and plant density) across four economic classes of farmers (very poor, poor, middle, and rich). The framework addresses limitations of conventional resilience assessments by explicitly quantifying resilience, capturing the interplay of failure and recovery dynamics, and reducing reliance on perception-based measures. Results highlight the heterogeneous and sometimes counterintuitive nature of resilience outcomes: poorer households may outperform wealthier ones under certain climate scenarios, while wealthier households exhibit lower nutritional resilience despite higher incomes. Persistent deficiencies in Calories and key nutrients (calcium, iron, vitamin A) are observed across all groups, particularly under extreme climate conditions. Alternative practices enhance resilience in most contexts, while farmers tend to be more resilient under dry conditions than under wet conditions. By combining econometric analysis with biophysical and economic modeling, this study presents a flexible, data-driven framework that enhances resilience measurement and provides actionable insights for policy interventions. The approach is broadly adaptable across contexts and contributes to developing targeted strategies to enhance smallholder resilience and advance the Sustainable Development Goals.
■590 ▼aSchool code: 0128.
■650 4▼aAgriculture
■650 4▼aClimate change
■653 ▼aAgricultural development
■653 ▼aAgricultural resilience
■653 ▼aClimate resilience
■653 ▼aFood security
■653 ▼aFood systems
■653 ▼aNet cash farm income
■690 ▼a0473
■690 ▼a0503
■690 ▼a0404
■71020▼aMichigan State University▼bBiosystems Engineering - Doctor of Philosophy.
■7730 ▼tDissertations Abstracts International▼g87-06A.
■790 ▼a0128
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17360931▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
