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Impact of climate variability on yield of maize and yam in Cross River State, Nigeria: An autoregressive distributed lag bound approach

100%

Edet E. O., Udoe P. O., Isong I. A., Abang S. O., Ovbiroro F. O.

World News of Natural Sciences

2021

vol. 36

60-74

The study examined the impact of climate variability on yield of maize and yam in Cross River State, Nigeria. The specific objectives of the study were to determine the long-run and short-run impact of climate variability factors on yields of maize and yam. Data were sourced from the Nigerian Meteorological Agency (NiMeT) and Cross River State Ministry of Agriculture spanning from 1990-2016. Data obtained were analyzed using inferential statistics. Precisely, the model was estimated by the Ordinary Least Squares (OLS) multiple regression technique, which is within the Autoregressive Distributed Lag Bound approach and error correction testing framework. Both model-1 (maize yield) and model-2 (yam yield) passed through the conditions of the diagnostics and stability test. The study revealed that climate variables had a significant impact on maize yield both in the long and short-run. Based on the findings, it was concluded that proactive measures should be put in place to aid crop farmers adapt to the prevailing and looming threats of climate variability for the purpose of attaining the State’s food security balance sheet. To sustain this drive, an institutional and infrastructural support system is advocated in order to meet one of the goals of sustainable development agenda of the United Nations. Policy recommendations on how to cushion the impact of climate variability on the prescribed crops have been appropriately cited.

Nature 2000 - selected issues

88%

Draszawka-Bołzan B., Cyraniak E., Daniszewski P.

World News of Natural Sciences

2015

vol. 2

1-6

The EU Nature 2000 network is generally not a network of strictly protected areas in which no economic activities should take place. Therefore, in most Nature 2000 sites, a strict wilderness approach will not be the most appropriate form of management. This guidance document should therefore not be interpreted as the Commission aiming to turn all Nature 2000 sites into wilderness areas. However, in specific cases, a wilderness approach can be the most appropriate or even necessary management approach for specific Nature 2000 sites hosting habitat types and species of Community interest, the maintenance or restoration to a favourable conservation status of which is dependent on some degree of wilderness qualities and natural processes. Moreover, there will be sites for which a wilderness approach can be useful but not necessarily the only way to restore or maintain the species and habitats at a favourable conservation status. This guidance document is applicable to those specific Nature 2000 sites.

Chemometrics in the assessment of the sustainable development rule implementation

88%

Astel A., Głosińska G., Sobczyński T., Boszke L., Simeonov V., Siepak J.

Open Chemistry

2006

vol. 4

issue 3

543-564

The sustainable development rule implementation is tested by the application of chemometrics in the field of environmental pollution. A data set consisting of Cd, Pb, Cr, Zn, Cu, Mn, Ni, and Fe content in bottom sediment samples collected in the Odra River (Germany/Poland) is treated using cluster analysis (CA), principal component analysis (PCA), and source apportionment techniques. Cluster analysis clearly shows that pollution on the German bank is higher than on the Polish bank. Two latent factors extracted by PCA explain over 88 % of the total variance of the system, allowing identification of the dominant “semi-natural” and “anthropogenic” pollution sources in the river ecosystem. The complexity of the system is proved by MLR analysis of the absolute principal component scores (APCS). The apportioning clearly shows that Cd, Pb, Cr, Zn and Cu participate in an “anthropogenic” source profile, whereas Fe and Mn are “semi-natural”. Multiple regression analysis indicates that for particular elements not described by the model, the amounts vary from 4.2 % (Mn) to 13.1 % (Cr). The element Ni participates to some extent to each source and, in this way, is neither pure “semi-natural” nor pure “anthropogenic”. Apportioning indicates that the whole heavy metal pollution in the investigated river reach is 12510.45 mg·kg−1. The contribution of pollutants originating from “anthropogenic sources” is 9.04 % and from “semi-natural” sources is 86.53 %.

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2 World News of Natural Sciences

1 Open Chemistry

1 2021

1 2015

1 2006

1 Abang S. O.

1 Astel A.

1 Boszke L.

1 Cyraniak E.

1 Daniszewski P.

1 Draszawka-Bołzan B.

1 Edet E. O.

1 Głosińska G.

1 Isong I. A.

1 Ovbiroro F. O.

1 Siepak J.

1 Simeonov V.

1 Sobczyński T.

1 Udoe P. O.

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Impact of climate variability on yield of maize and yam in Cross River State, Nigeria: An autoregressive distributed lag bound approach

Nature 2000 - selected issues

Chemometrics in the assessment of the sustainable development rule implementation