DOI: 10.1007/s10584-016-1810-2
Scopus记录号: 2-s2.0-84991298948
论文题名: Mapping adaptive capacity and smallholder agriculture: applying expert knowledge at the landscape scale
作者: Holland M.B. ; Shamer S.Z. ; Imbach P. ; Zamora J.C. ; Medellin Moreno C. ; Hidalgo E.J.L. ; Donatti C.I. ; Martínez-Rodríguez M.R. ; Harvey C.A.
刊名: Climatic Change
ISSN: 0165-0009
EISSN: 1573-1480
出版年: 2017
卷: 141, 期: 1 起始页码: 139
结束页码: 153
语种: 英语
Scopus关键词: Climate change
; Developing countries
; Mapping
; Adaptive capacity
; Agricultural landscapes
; Expert knowledge
; Potential benefits
; Rapid assessment
; Smallholder farmers
; Spatially explicit
; Tropical regions
; Agriculture
; adaptive management
; agricultural land
; climate change
; coffee
; farmers knowledge
; landscape change
; questionnaire survey
; smallholder
; tropical region
; Central America
英文摘要: The impacts of climate change exacerbate the myriad challenges faced by smallholder farmers in the Tropics. In many of these same regions, there is a lack of current, consistent, and spatially-explicit data, which severely limits the ability to locate smallholder communities, map their adaptive capacity, and target adaptation measures to these communities. To explore the adaptive capacity of smallholder farmers in three data-poor countries in Central America, we leveraged expert input through in-depth mapping interviews to locate agricultural landscapes, identify smallholder farming systems within them, and characterize different components of farmer adaptive capacity. We also used this input to generate an index of adaptive capacity that allows for comparison across countries and farming systems. Here, we present an overview of the expert method used, followed by an examination of our results, including the intercountry variation in expert knowledge and the characterization of adaptive capacity for both subsistence and smallholder coffee farmers. While this approach does not replace the need to collect regular and consistent data on farming systems (e.g. agricultural census), our study demonstrates a rapid assessment approach for using expert input to fill key data gaps, enable trans-boundary comparisons, and to facilitate the identification of the most vulnerable smallholder communities for adaptation planning in data-poor environments that are typical of tropical regions. One potential benefit from incorporating this approach is that it facilitates the systematic consideration of field-based and regional experience into assessments of adaptive capacity, contributing to the relevance and utility of adaptation plans. © 2016, The Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/84074
Appears in Collections: 气候减缓与适应 气候变化事实与影响
There are no files associated with this item.
作者单位: Department of Geography & Environmental Systems, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD, United States; Centro Agronómico Tropical de Investigación y Enseñanza (CATIE), Sede Central, 7170, Cartago, Turrialba, Costa Rica; CCAFS Latin America, Centro Internacional de Agricultura Tropical (CIAT), KM 17 Recta Cali-Palmira, Palmira, Valle del Cauca, Colombia; The Betty and Gordon Moore Center for Science, Conservation International, 2011 Crystal Drive, Suite 500, Arlington, VA, United States
Recommended Citation:
Holland M.B.,Shamer S.Z.,Imbach P.,et al. Mapping adaptive capacity and smallholder agriculture: applying expert knowledge at the landscape scale[J]. Climatic Change,2017-01-01,141(1)