Assessing potential impacts of CO2 - and deforestation - induced climate change on maize and black bean in Venezuela

PDF Version Also Available for Download.

Description

Article on assessing potential impacts of CO2 and deforestation induced climate change on maize and black bean in Venezuela.

Physical Description

14 p.

Creation Information

Acevedo, Miguel F.; Jaimez, Ramón E.; Maytin, Carlos E.; Tonella, Giorgio & Harwell, Mark A. 1995.

Context

This article is part of the collection entitled: UNT Scholarly Works and was provided by the UNT College of Engineering to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 975 times. More information about this article can be viewed below.

Who

People and organizations associated with either the creation of this article or its content.

Authors

Publisher

Provided By

UNT College of Engineering

The UNT College of Engineering strives to educate and train engineers and technologists who have the vision to recognize and solve the problems of society. The college comprises six degree-granting departments of instruction and research.

Contact Us

What

Descriptive information to help identify this article. Follow the links below to find similar items on the Digital Library.

Titles

  • Main Title: Assessing potential impacts of CO2 - and deforestation - induced climate change on maize and black bean in Venezuela
  • Parallel Title: Evaluación de los impactos potenciales de cambios climáticos inducidos por efecto invernadero y por la deforestación sobre el cultivo de maíz y caraota en Venezuela

Degree Information

Description

Article on assessing potential impacts of CO2 and deforestation induced climate change on maize and black bean in Venezuela.

Physical Description

14 p.

Notes

Abstract: We summarize the potential impacts of climate change on the yield of maize (Zea mayz) and black bean (Phaseolus vulgaris L.) at important agricultural sites in Venezuela. The effects of greenhouse-induced global-scale climatic changes and deforestation-induced continental-scale climatic changes were analyzed for both staple crops. The enhanced greenhouse climate scenarios (GH) were derived from atmospheric General Circulation Models for doubled CO2 conditions. GH scenarios of three levels of sensitivity were defined (low, medium and high) from the lower and upper bounds of GCM-derived temperature projections. These GH scenarios assume increased air temperature for both the wet and dry season and increased rainfall and decreased incoming solar radiation for the wet season. Direct effects of increased atmospheric CO2 were included in the bean simulations but not in the maize simulations. The deforestation scenarios (DEF) assume increased air temperature, increased incoming solar radiation and decreased rainfall, as predicted by coupled atmosphere-biosphere models for extensive deforestation of the Amazon basin. The CERES-Maize and BEANGRO crop simulation models, from the Decision Support System for Agrotechnology Transfer (DSSAT), were used for assessing impacts on yield of corn and black bean respectively. The results are only relative because the simulations assumed non-limiting nutrients and no damage from pests or from excess water. The assessments consisted of simulated cultivations of the CENIAP PB-8 maize cultivar grown during the wet season at three sites for two baseline years (in order to cover different rainfall conditions), and the TACARIGUA black bean cultivar grown during the dry season at three sites, for only one baseline climate year. All GH scenarios caused a decrease in yield of corn at all sites: the phenological phases were shortened and the number and weight of kernels were reduced. Low sensitivity GH scenarios produced a slight increase in bean yield, but medium and high GH scenarios decreased bean yield, in spite of the partial compensation by atmospheric CO2 enrichment. Increases of precipitation in GH scenarios had no effects on maize yield, because the sites already have adequate precipitation; however, the crop models used here do not account for potential negative effects of excess water. DEF scenarios produced relatively smaller changes in maize and bean yield. Increased solar radiation increased maize yields for the relatively small increase of air temperatures used in the DEF scenarios. Decrease of bean harvest index for all scenarios indicates that yield is more sensitive to air temperature change than is biomass. The potential reductions in maize and bean yield will most likely be due to increasing temperatures and not to rainfall changes.

Copyright © 1995 Sociedad Venezolana de Ecología.

Source

  • Ecotropicos, 8(1-2), Sociedad Venezolana de Ecología, 1995, pp. 1-14

Language

Item Type

Identifier

Unique identifying numbers for this article in the Digital Library or other systems.

Publication Information

  • Publication Title: Ecotropicos
  • Volume: 8
  • Issue: 1-2
  • Page Start: 39
  • Page End: 52
  • Peer Reviewed: Yes

Collections

This article is part of the following collection of related materials.

UNT Scholarly Works

Materials from the UNT community's research, creative, and scholarly activities and UNT's Open Access Repository. Access to some items in this collection may be restricted.

What responsibilities do I have when using this article?

When

Dates and time periods associated with this article.

Creation Date

  • 1995

Added to The UNT Digital Library

  • June 22, 2014, 9:07 p.m.

Description Last Updated

  • Nov. 28, 2023, 12:27 p.m.

Usage Statistics

When was this article last used?

Yesterday: 0
Past 30 days: 0
Total Uses: 975

Interact With This Article

Here are some suggestions for what to do next.

Start Reading

PDF Version Also Available for Download.

International Image Interoperability Framework

IIF Logo

We support the IIIF Presentation API

Acevedo, Miguel F.; Jaimez, Ramón E.; Maytin, Carlos E.; Tonella, Giorgio & Harwell, Mark A. Assessing potential impacts of CO2 - and deforestation - induced climate change on maize and black bean in Venezuela, article, 1995; [Mérida, Venezuela]. (https://digital.library.unt.edu/ark:/67531/metadc304736/: accessed January 22, 2025), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Engineering.

Back to Top of Screen