Integrating Sustainability into Brownfield Regeneration: Rhetoric or Reality? – An Analysis of the UK Development Industry

In the UK and elsewhere the use of the term ‘sustainable brownfield regeneration’ has resulted from the interweaving of two key policy themes, comprising ‘sustainable development’ and ‘brownfield regeneration’. This paper provides a critical overview of brownfield policy within the context of the emerging sustainable development agenda in the UK, and examines the development industry's role and attitudes towards key aspects of sustainable development and brownfield regeneration. The paper analyses results from a survey of commercial and residential developers carried out in mid‐2004, underpinned by structured interviews with eleven developers in 2004–2005, which form part of a two‐and‐half‐year EPSRC‐funded project. The results suggest that despite the increasing focus on sustainability in government policy, the development industry seems ill at ease with precisely how sustainable development can be implemented in brownfield schemes. These and other findings, relating to sustainability issues (including the impact of climate change on future brownfield development), have important ramifications for brownfield regeneration policy in the UK. In particular, the research highlights the need for better metrics and benchmarks to be developed to measure ‘sustainable brownfield regeneration’. There also needs to be greater awareness and understanding of alternative clean‐up technologies to ‘dig and dump’.

An analysis of the UK development industry's role in brownfield regeneration

Purpose – This study aims to provide a review of brownfield policy and the emerging sustainable development agenda in the UK, and to examine the development industry’s (both commercial and residential) role and attitudes towards brownfield regeneration and contaminated land. Design/methodology/approach – The paper analyses results from a two-stage survey of commercial and residential developers carried out in mid-2004, underpinned by structured interviews with 11 developers. Findings – The results suggest that housebuilding on brownfield is no longer the preserve of specialists, and is now widespread throughout the industry in the UK. The redevelopment of contaminated sites for residential use could be threatened by the impact of the EU Landfill Directive. The findings also suggest that developers are not averse to developing on contaminated sites, although post-remediation stigma remains an issue. The market for warranties and insurance continues to evolve. Research limitations/implications – The survey is based on a sample which represents nearly 30 per cent of UK volume housebuilding. Although the response in the smaller developer groups was relatively under-represented, non-response bias was not found to be a significant issue. More research is needed to assess the way in which developers approach brownfield regeneration at a local level. Practical implications – The research suggests that clearer Government guidance in the UK is needed on how to integrate concepts of sustainability in brownfield development and that EU policy, which has been introduced for laudable aims, is creating tensions within the development industry. There may be an emphasis towards greenfield development in the future, as the implications of the Barker review are felt. Originality/value – This is a national survey of developers’ attitudes towards brownfield development in the UK, following the Barker Review, and highlights key issues in UK and EU policy layers. Keywords Brownfield sites, Contamination Paper type Research paper

The role of retailing in urban regeneration

Recent ‘best practice’ research and guidance has emphasised the important role that can be played by retail-led urban regeneration projects, particularly in ‘under-served markets’ in the UK. This builds on ideas first formulated in the USA by Michael Porter through his close relationship with the Initiative for the Competitive Inner City (ICIC). This paper critically examines the role of retailing in urban regeneration nationally and locally in the UK, focusing on in-town shopping centres located in inner city areas of the UK. The paper is based on case study research in these centres, and was completed during 2003 for The Office of Science and Technology. The paper examines how employment impact in retail-led regeneration is commonly measured, and calls for more research to determine the real impact of retail in deprived communities using other, relevant measures.

A comprehensive benchmarking system for evaluating global vegetation models.

We present a benchmark system for global vegetation models. This system provides a quantitative evaluation of multiple simulated vegetation properties, including primary production; seasonal net ecosystem production; vegetation cover, composition and 5 height; fire regime; and runoff. The benchmarks are derived from remotely sensed gridded datasets and site-based observations. The datasets allow comparisons of annual average conditions and seasonal and inter-annual variability, and they allow the impact of spatial and temporal biases in means and variability to be assessed separately. Specifically designed metrics quantify model performance for each process, 10 and are compared to scores based on the temporal or spatial mean value of the observations and a “random” model produced by bootstrap resampling of the observations. The benchmark system is applied to three models: a simple light-use efficiency and water-balance model (the Simple Diagnostic Biosphere Model: SDBM), and the Lund-Potsdam-Jena (LPJ) and Land Processes and eXchanges (LPX) dynamic global 15 vegetation models (DGVMs). SDBM reproduces observed CO2 seasonal cycles, but its simulation of independent measurements of net primary production (NPP) is too high. The two DGVMs show little difference for most benchmarks (including the interannual variability in the growth rate and seasonal cycle of atmospheric CO2), but LPX represents burnt fraction demonstrably more accurately. Benchmarking also identified 20 several weaknesses common to both DGVMs. The benchmarking system provides a quantitative approach for evaluating how adequately processes are represented in a model, identifying errors and biases, tracking improvements in performance through model development, and discriminating among models. Adoption of such a system would do much to improve confidence in terrestrial model predictions of climate change 25 impacts and feedbacks.

Stable isotope and modelling evidence for CO2 as a driver of glacial–interglacial vegetation shifts in southern Africa

Atmospheric CO2 concentration is hypothesized to influence vegetation distribution via tree–grass competition, with higher CO2 concentrations favouring trees. The stable carbon isotope (δ13C) signature of vegetation is influenced by the relative importance of C4 plants (including most tropical grasses) and C3 plants (including nearly all trees), and the degree of stomatal closure – a response to aridity – in C3 plants. Compound-specific δ13C analyses of leaf-wax biomarkers in sediment cores of an offshore South Atlantic transect are used here as a record of vegetation changes in subequatorial Africa. These data suggest a large increase in C3 relative to C4 plant dominance after the Last Glacial Maximum. Using a process-based biogeography model that explicitly simulates 13C discrimination, it is shown that precipitation and temperature changes cannot explain the observed shift in δ13C values. The physiological effect of increasing CO2 concentration is decisive, altering the C3/C4 balance and bringing the simulated and observed δ13C values into line. It is concluded that CO2 concentration itself was a key agent of vegetation change in tropical southern Africa during the last glacial–interglacial transition. Two additional inferences follow. First, long-term variations in terrestrial δ13Cvalues are not simply a proxy for regional rainfall, as has sometimes been assumed. Although precipitation and temperature changes have had major effects on vegetation in many regions of the world during the period between the Last Glacial Maximum and recent times, CO2 effects must also be taken into account, especially when reconstructing changes in climate between glacial and interglacial states. Second, rising CO2 concentration today is likely to be influencing tree–grass competition in a similar way, and thus contributing to the "woody thickening" observed in savannas worldwide. This second inference points to the importance of experiments to determine how vegetation composition in savannas is likely to be influenced by the continuing rise of CO2 concentration.

TRY: a global database of plant traits

Plant traits – the morphological, anatomical, physiological, biochemical and phenological characteristics of plants and their organs – determine how primary producers respond to environmental factors, affect other trophic levels, influence ecosystem processes and services and provide a link from species richness to ecosystem functional diversity. Trait data thus represent the raw material for a wide range of research from evolutionary biology, community and functional ecology to biogeography. Here we present the global database initiative named TRY, which has united a wide range of the plant trait research community worldwide and gained an unprecedented buy-in of trait data: so far 93 trait databases have been contributed. The data repository currently contains almost three million trait entries for 69 000 out of the world's 300 000 plant species, with a focus on 52 groups of traits characterizing the vegetative and regeneration stages of the plant life cycle, including growth, dispersal, establishment and persistence. A first data analysis shows that most plant traits are approximately log-normally distributed, with widely differing ranges of variation across traits. Most trait variation is between species (interspecific), but significant intraspecific variation is also documented, up to 40% of the overall variation. Plant functional types (PFTs), as commonly used in vegetation models, capture a substantial fraction of the observed variation – but for several traits most variation occurs within PFTs, up to 75% of the overall variation. In the context of vegetation models these traits would better be represented by state variables rather than fixed parameter values. The improved availability of plant trait data in the unified global database is expected to support a paradigm shift from species to trait-based ecology, offer new opportunities for synthetic plant trait research and enable a more realistic and empirically grounded representation of terrestrial vegetation in Earth system models.

Global vegetation and terrestrial carbon cycle changes after the last ice age

•In current models, the ecophysiological effects of CO2 create both woody thickening and terrestrial carbon uptake, as observed now, and forest cover and terrestrial carbon storage increases that took place after the last glacial maximum (LGM). Here, we aimed to assess the realism of modelled vegetation and carbon storage changes between LGM and the pre-industrial Holocene (PIH). •We applied Land Processes and eXchanges (LPX), a dynamic global vegetation model (DGVM), with lowered CO2 and LGM climate anomalies from the Palaeoclimate Modelling Intercomparison Project (PMIP II), and compared the model results with palaeodata. •Modelled global gross primary production was reduced by 27–36% and carbon storage by 550–694 Pg C compared with PIH. Comparable reductions have been estimated from stable isotopes. The modelled areal reduction of forests is broadly consistent with pollen records. Despite reduced productivity and biomass, tropical forests accounted for a greater proportion of modelled land carbon storage at LGM (28–32%) than at PIH (25%). •The agreement between palaeodata and model results for LGM is consistent with the hypothesis that the ecophysiological effects of CO2 influence tree–grass competition and vegetation productivity, and suggests that these effects are also at work today.

Exploring the climatic impact of the continental vegetation on the Mezosoic atmospheric CO2 and climate history

In this contribution, we continue our exploration of the factors defining the Mesozoic climatic history. We improve the Earth system model GEOCLIM designed for long term climate and geochemical reconstructions by adding the explicit calculation of the biome dynamics using the LPJ model. The coupled GEOCLIM-LPJ model thus allows the simultaneous calculation of the climate with a 2-D spatial resolution, the coeval atmospheric CO2, and the continental biome distribution. We found that accounting for the climatic role of the continental vegetation dynamics (albedo change, water cycle and surface roughness modulations) strongly affects the reconstructed geological climate. Indeed the calculated partial pressure of atmospheric CO2 over the Mesozoic is twice the value calculated when assuming a uniform constant vegetation. This increase in CO2 is triggered by a global cooling of the continents, itself triggered by a general increase in continental albedo owing to the development of desertic surfaces. This cooling reduces the CO2 consumption through silicate weathering, and hence results in a compensating increase in the atmospheric CO2 pressure. This study demonstrates that the impact of land plants on climate and hence on atmospheric CO2 is as important as their geochemical effect through the enhancement of chemical weathering of the continental surface. Our GEOCLIM-LPJ simulations also define a climatic baseline for the Mesozoic, around which exceptionally cool and warm events can be identified.

Overexpression of coconut AINTEGUMENTA-like gene, CnANT, promotes in vitro regeneration in transgenic Arabidopsis

Knowledge of the molecular biological changes underlying the process of embryogenesis is important for the improvement of somatic embryogenesis of coconut. Among the transcription factors that control the transition from vegetative to embryogenic growth, members of APETALA2/Ethylene-responsive element binding protein domain family play an important role in promoting embryo development. Significant insights into the role of AP2 genes have been obtained by the ectopic expression of AP2 sub family genes in transgenic Arabidopsis. A homolog of the AINTEGUMENTA-like gene that encodes the two AP2 domains and the linker region was identified in the coconut genome. Phylogenetic analysis showed that this gene, CnANT, encodes a protein that branched with BABY BOOM/PLETHORA clade in the AINTEGUMENTA-like major clade and was similar to the oil palm EgAP2-1 protein. According to real time RT-PCR results, higher expression of CnANT was observed in more mature zygotic embryos. Also, high CnANT expression was recorded in embryogenic callus compared to other stages of somatic embryogenesis. We examined the effect of ectopic CnANT expression on the development and regenerative capacity of transgenic Arabidopsis. Overexpression of CnANT in Arabidopsis induced hormone free regeneration of explants. Furthermore, ectopic expression of CnANT enhanced regeneration in vitro and suggested a role for this gene in cell proliferation during in vitro culture.

Last glacial vegetation of northern Eurasia

In order to investigate the potential role of vegetation changes in megafaunal extinctions during the later part of the last glacial stage and early Holocene (42–10 ka BP), the palaeovegetation of northern Eurasia and Alaska was simulated using the LPJ-GUESS dynamic vegetation model. Palaeoclimatic driving data were derived from simulations made for 22 time slices using the Hadley Centre Unified Model. Modelled annual net primary productivity (aNPP) of a series of plant functional types (PFTs) is mapped for selected time slices and summarised for major geographical regions for all time slices. Strong canonical correlations are demonstrated between model outputs and pollen data compiled for the same period and region. Simulated aNPP values, especially for tree PFTs and for a mesophilous herb PFT, provide evidence of the structure and productivity of last glacial vegetation. The mesophilous herb PFT aNPP is higher in many areas during the glacial than at present or during the early Holocene. Glacial stage vegetation, whilst open and largely treeless in much of Europe, thus had a higher capacity to support large vertebrate herbivore populations than did early Holocene vegetation. A marked and rapid decrease in aNPP of mesophilous herbs began shortly after the Last Glacial Maximum, especially in western Eurasia. This is likely implicated in extinction of several large herbivorous mammals during the latter part of the glacial stage and the transition to the Holocene.

Nature of vegetation and building morphology characteristics across a city: influence on shadow patterns and mean radiant temperatures in London

Vegetation and building morphology characteristics are investigated at 19 sites on a north-south LiDAR transect across the megacity of London. Local maxima of mean building height and building plan area density at the city centre are evident. Surprisingly, the mean vegetation height (zv3) is also found to be highest in the city centre. From the LiDAR data various morphological parameters are derived as well as shadow patterns. Continuous images of the effects of buildings and of buildings plus vegetationon sky view factor (Ψ) are derived. A general reduction of Ψ is found, indicating the importance of including vegetation when deriving Ψ in urban areas. The contribution of vegetation to the shadowing at ground level is higher during summer than in autumn. Using these 3D data the influence on urban climate and mean radiant temperature (T mrt ) is calculated with SOLWEIG. The results from these simulations highlight that vegetation can be most effective at reducing heat stress within dense urban environments in summer. The daytime average T mrt is found to be lowest in the densest urban environments due to shadowing; foremost from buildings but also from trees. It is clearly shown that this method could be used to quantify the influence of vegetation on T mrt within the urban environment. The results presented in this paper highlight a number of possible climate sensitive planning practices for urban areas at the local scale (i.e. 102- 5 × 103 m).

The influence of vegetation and building morphology on shadow patterns and mean radiant temperatures in urban areas: model development and evaluation

The solar and longwave environmental irradiance geometry (SOLWEIG) model simulates spatial variations of 3-D radiation fluxes and mean radiant temperature (T mrt) as well as shadow patterns in complex urban settings. In this paper, a new vegetation scheme is included in SOLWEIG and evaluated. The new shadow casting algorithm for complex vegetation structures makes it possible to obtain continuous images of shadow patterns and sky view factors taking both buildings and vegetation into account. For the calculation of 3-D radiation fluxes and T mrt, SOLWEIG only requires a limited number of inputs, such as global shortwave radiation, air temperature, relative humidity, geographical information (latitude, longitude and elevation) and urban geometry represented by high-resolution ground and building digital elevation models (DEM). Trees and bushes are represented by separate DEMs. The model is evaluated using 5 days of integral radiation measurements at two sites within a square surrounded by low-rise buildings and vegetation in Göteborg, Sweden (57°N). There is good agreement between modelled and observed values of T mrt, with an overall correspondence of R 2 = 0.91 (p < 0.01, RMSE = 3.1 K). A small overestimation of T mrt is found at locations shadowed by vegetation. Given this good performance a number of suggestions for future development are identified for applications which include for human comfort, building design, planning and evaluation of instrument exposure.

The role of UK retailing in urban regeneration

This research examines the role of retailing in urban regeneration nationally and locally in the UK. The research uses data at a national level and local shopping centre case studies to examine the employment and property impacts of retailing. Focusing on schemes built during the first part of the 1990s it shows that retail can bring employment and economic benefits to town centres, but that the impact on the inner city should not be overlooked. Valuable lessons can be learned from the experience of centres built during this period of recession, and new challenges such as eCommerce now face these centres and others being developed today. The research examines the multiplier effect of retail regeneration schemes nationally using National Accounts data, and the local property and employment impacts of shopping centre schemes in the case study towns of Aberdeen, Bristol, Norwich, Bromley, Worcester and Leicester. The report includes valuable statistical sources, a full literature and policy review and will be of interest to those involved in property investment, regeneration and planning. The research was funded by the Office of Science & Technology and the Harold Samuel Educational Trust.