Climate Risk Vulnerability Assessment to inform sub-national decision making in Vietnam, Nicaragua and Uganda
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This project was undertaken to develop and implement a pan tropical Climate Risk Vulnerability Assessment (CRVA) that can identify through an agricultural lens and at a fine resolution which parts of the country are most vulnerable to climate change. The CRVA is adaptable to the specific national context and also flexible to data limitations. Based on the academic literature and the latest crop and climate models we provide a robust and repeatable methodology. We conceptualise vulnerability as the combination of the sensitivity of the major food security crops to climate change, the exposure of the population to natural hazards and the potential for the population to respond (Adaptive Capacity). We have applied the CRVA to Vietnam, Nicaragua and Uganda. The data is in shapefile format and includes the 1. Adaptive capacity 2. S' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Africa","Agriculture","Asia","Climate change","Crop modelling","Decision and Policy Analysis - DAPA","Latin America and the Caribbean","Vulnerability"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This project was undertaken to develop and implement a pan tropical Climate Risk Vulnerability Assessment (CRVA) that can identify through an agricultural lens and at a fine resolution which parts of the country are most vulnerable to climate change. The CRVA is adaptable to the specific national context and also flexible to data limitations. Based on the academic literature and the latest crop and climate models we provide a robust and repeatable methodology. We conceptualise vulnerability as the combination of the sensitivity of the major food security crops to climate change, the exposure of the population to natural hazards and the potential for the population to respond (Adaptive Capacity). We have applied the CRVA to Vietnam, Nicaragua and Uganda. The data is in shapefile format and includes the 1. Adaptive capacity 2. S' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This project was undertaken to develop and implement a pan tropical Climate Risk Vulnerability Assessment (CRVA) that can identify through an agricultural lens and at a fine resolution which parts of the country are most vulnerable to climate change. The CRVA is adaptable to the specific national context and also flexible to data limitations. Based on the academic literature and the latest crop and climate models we provide a robust and repeatable methodology. We conceptualise vulnerability as the combination of the sensitivity of the major food security crops to climate change, the exposure of the population to natural hazards and the potential for the population to respond (Adaptive Capacity). We have applied the CRVA to Vietnam, Nicaragua and Uganda. The data is in shapefile format and includes the 1. Adaptive capacity 2. S
Africa; Agriculture; Asia; Climate change; Crop modelling; Decision and Policy Analysis - DAPA; Latin America and the Caribbean; Vulnerability