e-journal

Improving ecophysiological simulation models to predict the impact of elevated atmospheric CO2 concentration on crop productivity

---

† Background:
Process-based ecophysiological crop models are pivotal in assessing responses of crop productivity and designing strategies of adaptation to climate change. Most existing crop models generally over-estimate the
effect of elevated atmospheric [CO2], despite decades of experimental research on crop growth response to [CO2].

† Analysis:
A review of the literature indicates that the quantitative relationships for a number of traits, once
expressed as a function of internal plant nitrogen status, are altered little by the elevated [CO2]. A model incorporating these nitrogen-based functional relationships and mechanisms simulated photosynthetic acclimation to elevated [CO2], thereby reducing the chance of over-estimating crop response to [CO2]. Robust crop models
to have small parameterization requirements and yet generate phenotypic plasticity under changing environmental
conditions need to capture the carbon–nitrogen interactions during crop growth.

†Conclusions:
The performance of the improved models depends little on the type of the experimental facilities used to obtain data for parameterization, and allows accurate projections of the impact of elevated [CO2] and other climatic variables on crop productivity.

Key words: Acclimation to elevated CO2, climate change, crop models, impact assessment, model improvement,
nitrogen.

---

Ketersediaan

Tidak ada salinan data

Informasi Detail

Judul Seri

Annals of Botany

No. Panggil

-

Penerbit

Oxford : Oxford University Press on behalf of the Annals of Botany Company., 2013

Deskripsi Fisik

Annals of Botany 112: 465–475, 2013

Bahasa

English

ISBN/ISSN

-

Klasifikasi

-

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

-

Subjek

EKOFISIOLOGI TANAMAN

Info Detail Spesifik

-

Pernyataan Tanggungjawab

agus

Versi lain/terkait

Lampiran Berkas

Komentar

---

Anda harus masuk sebelum memberikan komentar