Fingerprinting environmental conditions and related stress using stable isotopic composition of rice (Oryza sativa L.) grain organic matter. (February 2016)

• Record Type: Journal Article
• Authors: Kaushal, Ritika; Ghosh, Prosenjit; Geilmann, Heike
• Is Part Of: Ecological indicators. Volume 61:Part 2(2016)
• Page Start: 941
• Page End: 951
• Publication Date: 2016-02
• Subjects: Rice -- Wetland -- Salinity -- Isotopic composition -- Agro-ecosystem; Environmental monitoring -- Periodicals; Environmental management -- Periodicals; Environmental impact analysis -- Periodicals; Environmental risk assessment -- Periodicals; Sustainable development -- Periodicals; 333.71405
• DOI: 10.1016/j.ecolind.2015.10.050
• Languages: English
• ISSNs: 1470-160X

Abstract

Graphical abstract: Abstract: Sea level rise (SLR) is a primary factor responsible for inundation of low-lying coastal regions across the world, which in turn governs the agricultural productivity. In this study, rice ( Oryza sativa L.) cultivated seasonally in the Kuttanad Wetland, a SLR prone region on the southwest coast of India, were analysed for oxygen, hydrogen and carbon isotopic ratios (δ 18 O, δ 2 H and δ 13 C) to distinguish the seasonal environmental conditions prevalent during rice cultivation. The region receives high rainfall during the wet season which promotes large supply of fresh water to the local water bodies via the rivers. In contrast, during the dry season reduced river discharge favours sea water incursion which adversely affects the rice cultivation. The water for rice cultivation is derived from regional water bodies that are characterised by seasonal salinity variation which co-varies with the δ 18 O and δ 2 H values. Rice cultivated during the wet and the dry season bears the isotopic imprints of this water. We explored the utility of a mechanistic model to quantify the contribution of two prominent factors, namely relative humidity and source water composition in governing the seasonal variation in oxygen isotopic composition of rice grain OM. δ 13 C values of rice grain OM were used to deduce the stress level by estimating the intrinsic water use efficiency (WUE i ) of the crop during the two seasons. 1.3 times higher WUE i was exhibited by the same genotype during the dry season. The approach can be extended to other low lying coastal agro-ecosystems to infer the growth conditions of cultivated crops and can further be utilised for retrieving paleo-environmental information from well preserved archaeological plant remains.