A pilot study for climate risk assessment in agriculture: a climate-based index for cherry trees

被引:2
|
作者
Tudela, Viviana [1 ]
Sarricolea, Pablo [2 ,3 ,6 ]
Serrano-Notivoli, Roberto [4 ]
Meseguer-Ruiz, Oliver [5 ]
机构
[1] Univ OHiggins, Inst Ciencias Agroalimentarias Anim & Ambientales, San Fernando, Chile
[2] Univ Chile, Dept Geog, Santiago, Chile
[3] Univ Chile, Programa Reducc Riesgos & Desastres, CITRID, Santiago, Chile
[4] Univ Autonoma Madrid, Dept Geog, Madrid, Spain
[5] Univ Tarapaca, Dept Ciencias Hist & Geog, Iquique, Chile
[6] Univ Chile, Ctr Climate & Resilience Res CR 2, Santiago, Chile
关键词
Extreme events; Frosts; Heat damage; Precipitation events; Risk index; Sweet cherry; FREE STATE PROVINCE; PRUNUS-AVIUM L; SWEET CHERRY; PSEUDOMONAS-SYRINGAE; FRUIT CRACKING; AGROCLIMATIC INDEXES; WHEAT PRODUCTION; MAIZE PRODUCTION; ENSO PREDICTION; RAIN;
D O I
10.1007/s11069-022-05549-8
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Cherry trees are one of Chile's most important specialty crop activities. Its commercial orchards have an extensive spatial distribution between the 31 degrees S and 48 degrees S, spreading from semiarid to tundra climates, but the trees appear primarily in the Mediterranean climate. Different extreme weather events, such as frosts, precipitation, and high temperatures, affect this crop at different phenological stages, especially in bloom, ripening, and floral differentiation. Based on a high-resolution climatic-gridded dataset of daily temperature and precipitation data, we defined an integrated risk index (RI) representing the frequency of occurrence of the events throughout the plant development period and considering each type of risk affecting each concrete phenological stage. High RI values indicate high climatic risk. The RI follows a meridional pattern influenced by elevation, with higher values in the highest elevations between 36 degrees S and 40 degrees S, sensitive to the simultaneous occurrence of frosts and precipitation events. The northern coast exhibited the lowest risk values, while a general gradient from low values in coastal areas to higher ones in inland elevated zones revealed an altitudinal pattern. Low-risk areas have a sparse distribution of crops, which can be explained by several factors restricting cherry cultivation such as soil limitations, high slopes, lack of productive support infrastructure, and competition with other profitable forestry and agricultural activities in the north and forest production in the south. These results will help to improve climate impact assessments for production systems, which can be conducted by following an easy-to-understand tool.
引用
收藏
页码:163 / 185
页数:23
相关论文
共 50 条
  • [41] Fast Climate-Based Glare Analysis and Spatial Mapping
    Jones, Nathaniel L.
    PROCEEDINGS OF BUILDING SIMULATION 2019: 16TH CONFERENCE OF IBPSA, 2020, : 982 - 989
  • [42] Drivers of climate risk in African agriculture
    Sonwa, Denis J.
    Dieye, Amadou
    El Mzouri, El-Houssine
    Majule, Amos
    Mugabe, Francis T.
    Omolo, Nancy
    Wouapi, Herve
    Obando, Joy
    Brooks, Nick
    CLIMATE AND DEVELOPMENT, 2017, 9 (05) : 383 - 398
  • [43] Climate-Based AI-Powered Precision Irrigation: Sustainably Smart Agriculture Frameworks for Maximum Crop Yields
    Jyoti A. Dhanke
    Diksha Srivastava
    D. Menaga
    Roop Raj
    Kambala Vijaya Kumar
    Pradeep Jangir
    P. Mani
    Remote Sensing in Earth Systems Sciences, 2025, 8 (1) : 161 - 172
  • [44] Ecological Risk Assessment based on Climate Change
    Sun, Yunpeng
    CHINESE PERSPECTIVE ON RISK ANALYSIS AND CRISIS RESPONSE, 2010, 13 : 146 - +
  • [45] Climate risk index for Italy
    Mysiak, Jaroslav
    Torresan, Silvia
    Bosello, Francesco
    Mistry, Malcolm
    Amadio, Mattia
    Marzi, Sepehr
    Furlan, Elisa
    Sperotto, Anna
    PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2018, 376 (2121):
  • [46] Climate-based seed zones for Mexico: guiding reforestation under observed and projected climate change
    Dante Castellanos-Acuña
    Kenneth W. Vance-Borland
    J. Bradley St. Clair
    Andreas Hamann
    Javier López-Upton
    Erika Gómez-Pineda
    Juan Manuel Ortega-Rodríguez
    Cuauhtémoc Sáenz-Romero
    New Forests, 2018, 49 : 297 - 309
  • [47] The role of weather data files in Climate-based Daylight Modeling
    Bellia, Laura
    Pedace, Alessia
    Fragliasso, Francesca
    SOLAR ENERGY, 2015, 112 : 169 - 182
  • [48] Climate-based daylighting analysis for the effects of location, orientation and obstruction
    Munoz, C. M.
    Esquivias, P. M.
    Moreno, D.
    Acosta, Ignacio
    Navarro, J.
    LIGHTING RESEARCH & TECHNOLOGY, 2014, 46 (03) : 268 - 280
  • [49] Climate-based seed zones for Mexico: guiding reforestation under observed and projected climate change
    Castellanos-Acuna, Dante
    Vance-Borland, Kenneth W.
    St Clair, J. Bradley
    Hamann, Andreas
    Lopez-Upton, Javier
    Gomez-Pineda, Erika
    Manuel Ortega-Rodriguez, Juan
    Saenz-Romero, Cuauhtemoc
    NEW FORESTS, 2018, 49 (03) : 297 - 309
  • [50] Regional changes of Pinus pinaster site index in Spain using a climate-based dominant height model
    Bravo-Oviedo, Andres
    Gallardo-Andres, Clemente
    del Rio, Miren
    Montero, Gregorio
    CANADIAN JOURNAL OF FOREST RESEARCH-REVUE CANADIENNE DE RECHERCHE FORESTIERE, 2010, 40 (10): : 2036 - 2048