University of East Anglia

About: University of East Anglia is a education organization based out in Norwich, Norfolk, United Kingdom. It is known for research contribution in the topics: Population & Climate change. The organization has 13250 authors who have published 37504 publications receiving 1669060 citations. The organization is also known as: UEA.

The Ecosystem Services Framework and Natural Capital Conservation

Abstract: Work at the interface of ecology and economics has inspired a major transformation in the way people think about the environment. Increasingly, ecosystems are seen as capital assets, with the potential to generate a stream of vital life-support services meriting careful evaluation and investment. We first present the concepts underpinning the ecosystem services framework (ESF), laying out the scope and limitations of the approach. We then describe the major challenges in making the ESF operational: (i) detailed information at scales relevant to decision-making; (ii) practical know-how in the process of institutional design & implementation; and (iii) compelling models of success in which economic incentives are aligned with conservation. We close with a brief review of pioneering experiments now underway worldwide, which illustrate how these challenges can be overcome.

Global crop yield response to extreme heat stress under multiple climate change futures

Abstract: Extreme heat stress during the crop reproductive period can be critical for crop productivity. Projected changes in the frequency and severity of extreme climatic events are expected to negatively impact crop yields and global food production. This study applies the global crop model PEGASUS to quantify, for the first time at the global scale, impacts of extreme heat stress on maize, spring wheat and soybean yields resulting from 72 climate change scenarios for the 21st century. Our results project maize to face progressively worse impacts under a range of RCPs but spring wheat and soybean to improve globally through to the 2080s due to CO2 fertilization effects, even though parts of the tropic and sub-tropic regions could face substantial yield declines. We find extreme heat stress at anthesis (HSA) by the 2080s (relative to the 1980s) under RCP 8.5, taking into account CO2 fertilization effects, could double global losses of maize yield (ΔY = −12.8 ± 6.7% versus − 7.0 ± 5.3% without HSA), reduce projected gains in spring wheat yield by half (ΔY = 34.3 ± 13.5% versus 72.0 ± 10.9% without HSA) and in soybean yield by a quarter (ΔY = 15.3 ± 26.5% versus 20.4 ± 22.1% without HSA). The range reflects uncertainty due to differences between climate model scenarios; soybean exhibits both positive and negative impacts, maize is generally negative and spring wheat generally positive. Furthermore, when assuming CO2 fertilization effects to be negligible, we observe drastic climate mitigation policy as in RCP 2.6 could avoid more than 80% of the global average yield losses otherwise expected by the 2080s under RCP 8.5. We show large disparities in climate impacts across regions and find extreme heat stress adversely affects major producing regions and lower income countries.

Role of Electronic Trust in Online Retailing: A Re-examination of the Commitment-Trust Theory

Abstract: Purpose: Trust and commitment are the central tenets in building successful long-term relationships in the online retailing context. In the absence of physical interaction between the buyer and the seller, how websites can gain the trust of the buyers and deliver on the promises made have become central issues in online customer relationship management. This paper aims to re-examine the commitment-trust theory (CTT) of relationship marketing in the online retailing context. It seeks to theorize the antecedents and consequences of commitment and trust in the online context and identify how CTT can be adapted in a digitized business environment. Design/methodology/approach: Modified constructs and their measures are developed to understand the antecedents and the outcomes of commitment and trust. Survey data from British online customers (n ¼ 651) are used to test CTT hypotheses with structural equation modelling. Findings: The study suggests a significant modification to the traditional CTT model in the online environment. Privacy and security features of the website along with shared values are the key antecedents of trust, which in turn positively influences relationship commitment. Behavioural intentions of customers are consequences of both trust and commitment. The relationship termination cost has a negative impact on customer commitment. Research limitations/implications: The paper identifies interesting differences between the original work by Morgan and Hunt and the findings presented, but basically concludes that the commitment-trust theory applies to online retailing. Originality/value: Contributions of this study in re-examining the CTT model of relationship marketing in an online context are manifold. This paper proposes a modified model to understand the role of consumer trust and commitment in a digitized environment. The modified constructs and measures truly reflect the dynamism of online business. The extended CTT model can provide better insight into managing customer relationships in online retailing.

Removing Shadows from Images

Abstract: Illumination conditions cause problems for many computer vision algorithms. In particular, shadows in an image can cause segmentation, tracking, or recognition algorithms to fail. In this paper we propose a method to process a 3-band colour image to locate, and subsequently remove shadows. The result is a 3-band colour image which contains all the original salient information in the image, except that the shadows are gone.We use the method set out in [1] to derive a 1-d illumination invariant shadow-free image. We then use this invariant image together with the original image to locate shadow edges. By setting these shadow edges to zero in an edge representation of the original image, and by subsequently re-integrating this edge representation by a method paralleling lightness recovery, we are able to arrive at our sought after full colour, shadow free image. Preliminary results reported in the paper show that the method is effective.A caveat for the application of the method is that we must have a calibrated camera. We show in this paper that a good calibration can be achieved simply by recording a sequence of images of a fixed outdoor scene over the course of a day. After calibration, only a single image is required for shadow removal. It is shown that the resulting calibration is close to that achievable using measurements of the camera's sensitivity functions.