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There is growing interest in using ecosystem-based adaptation (EbA) to maintain or restore ecosystem services to increase human resilience to climate change. However, to date, the focus on EbA has been on conceptualising the approach and encouraging its use, rather than understanding EbA in practice. We review the EbA literature to synthesise where, why and how marine and coastal EbA projects have been implemented and examine how EbA has been integrated with marine spatial planning. We focus specifically on EbA projects in Asia and Oceania, where climate variability and dependence on marine and coastal ecosystems is high. Most projects were found in the grey literature, implemented in developing countries, and targeted extreme events and sea level rise. Mangroves, particularly mangrove restoration, was the most common ecosystem used, followed by coral reefs. EbA across ecosystems commonly targeted capacity building and livelihood enhancement, and maintenance of wildlife, alongside shoreline protection for mangroves and food security for coral reefs. Integrated EbA and marine spatial planning projects were participatory, implemented at local–regional scales, displayed adaptive management, and community-based or shared governance. Our research helps to build an understanding of EbA in practice and a knowledge base to assist coastal communities in adapting to climate change. We reviewed marine and coastal ecosystem-based adaptation (EbA) termed projects across Asia and Oceania. Our aim was to clarify where, why and how EbA has been implemented and examine the degree to which EbA has been integrated with marine spatial planning (MSP). We found that EbA was widely used in developing countries, largely in mangroves and commonly implemented to target ecosystem services that help people adapt to extreme events and sea level rise. We also identify and discuss common features in EbA projects that incorporate best practice MSP. [ABSTRACT FROM AUTHOR]

Economic growth is often in conflict with environmental goals. Biodiversity offsetting attempts to resolve this conflict by requiring industries to compensate for the biodiversity loss they cause, by generating an equivalent biodiversity gain elsewhere. Offsets for environmental impacts are increasingly being seen as a way to help meet preexisting conservation targets, such as those relating to the establishment and management of protected areas. We examine how using offsets to meet a state or organization's genuine commitments, which are not contingent on the offsets, results in no additional conservation benefit. In this case, either the offset or the preexisting commitment is invalid. For example, the use of offsets to meet commitments under the Convention on Biological Diversity requires an admission that those commitments would otherwise not be met. This interaction between international agreements around protected areas and offset policy can generate perverse incentives, which must be carefully managed to avoid poor conservation outcomes. We propose separate accounting for conservation gains generated using offsets, and that future conservation agreements and targets should explicitly separate commitments met using offset gains from those which are not reliant on equivalent losses. [ABSTRACT FROM AUTHOR]

The World Heritage Convention could make a bigger and more systematic contribution to global wilderness conservation by: (1) ensuring the World Heritage List includes full coverage of Earth's wilderness areas with outstanding universal value and (2) more effectively protecting the ecological integrity of existing World Heritage sites. Here, we assess current coverage of global-scale wilderness areas within natural World Heritage sites and identify broad gaps where new wilderness sites should be identified for inclusion in the World Heritage List. We also consider how existing mechanisms under the Convention can improve the ecological integrity of existing sites by expanding or buffering them, and by promoting connectivity between World Heritage sites, between World Heritage sites and other protected areas, or both. We suggest that the Convention should consider a new mechanism called a 'World Heritage Wilderness Complex' to facilitate a wilderness approach. Finally, we map three landscapes and one seascape to illustrate how World Heritage Wilderness Complexes might be implemented. [ABSTRACT FROM AUTHOR]

The effectiveness of revegetation in providing habitat for fauna is expected to be determined both by within-site factors and attributes of the landscape in which a revegetation site occurs. Most studies of fauna in revegetation have been conducted in landscapes that have been extensively cleared, modified or fragmented, and in Australia, predominantly in the southern temperate zone. We investigated how within-site vegetation attributes and landscape context attributes were related to bird species richness and composition in a chronosequence of post-mining rehabilitation sites within an otherwise intact landscape in tropical northern Australia. Our working hypothesis was that bird species richness in rehabilitating sites would be positively related to site vegetation structure and landscape context including (1) proximity to woodland and (2) the proportion of woodland within a 500-m buffer of rehabilitation sites. Within each of 67 sites, we sampled vegetation once and surveyed for birds eight times over 16 months. Landscape context variables were calculated using GIS. There were large differences between bird assemblages of woodland and rehabilitation sites and between age classes of rehabilitation. Bird assemblages were strongly related to site vegetation attributes across all rehabilitation sites. Proximity to woodland was only related to bird assemblages in rehabilitation sites older than 4 years old. We conclude that the relative importance of landscape context and site variables at any point in time will be a function of how closely vegetation within the revegetation site matches the habitat resource requirements of individual species. [ABSTRACT FROM AUTHOR]

Tools for exploring and communicating the impact of uncertainty on spatial prediction are urgently needed, particularly when projecting species distributions to future conditions., We provide a tool for simulating uncertainty, focusing on uncertainty due to data quality. We illustrate the use of the tool using a Tasmanian endemic species as a case study. Our simulations provide probabilistic, spatially explicit illustrations of the impact of uncertainty on model projections. We also illustrate differences in model projections using six different global climate models and two contrasting emissions scenarios., Our case study results illustrate how different sources of uncertainty have different impacts on model output and how the geographic distribution of uncertainty can vary., Synthesis and applications: We provide a conceptual framework for understanding sources of uncertainty based on a review of potential sources of uncertainty in species distribution modelling; a tool for simulating uncertainty in species distribution models; and protocols for dealing with uncertainty due to climate models and emissions scenarios. Our tool provides a step forward in understanding and communicating the impacts of uncertainty on species distribution models under future climates which will be particularly helpful for informing discussions between researchers, policy makers, and conservation practitioners. [ABSTRACT FROM AUTHOR]

Carbon stock change due to forest management and disturbance must be accounted for in UNFCCC national inventory reports and for signatories to the Kyoto Protocol. Impacts of disturbance on greenhouse gas (GHG) inventories are important for many countries with large forest estates prone to wildfires. Our objective was to measure changes in carbon stocks due to short-term combustion and to simulate longer-term carbon stock dynamics resulting from redistribution among biomass components following wildfire. We studied the impacts of a wildfire in 2009 that burnt temperate forest of tall, wet eucalypts in south-eastern Australia. Biomass combusted ranged from 40 to 58 tC ha−1, which represented 6–7% and 9–14% in low- and high-severity fire, respectively, of the pre-fire total biomass carbon stock. Pre-fire total stock ranged from 400 to 1040 tC ha−1 depending on forest age and disturbance history. An estimated 3.9 TgC was emitted from the 2009 fire within the forest region, representing 8.5% of total biomass carbon stock across the landscape. Carbon losses from combustion were large over hours to days during the wildfire, but from an ecosystem dynamics perspective, the proportion of total carbon stock combusted was relatively small. Furthermore, more than half the stock losses from combustion were derived from biomass components with short lifetimes. Most biomass remained on-site, although redistributed from living to dead components. Decomposition of these components and new regeneration constituted the greatest changes in carbon stocks over ensuing decades. A critical issue for carbon accounting policy arises because the timeframes of ecological processes of carbon stock change are longer than the periods for reporting GHG inventories for national emissions reductions targets. Carbon accounts should be comprehensive of all stock changes, but reporting against targets should be based on human-induced changes in carbon stocks to incentivise mitigation activities. [ABSTRACT FROM AUTHOR]

Changes in animal body size have been widely reported as a correlate of contemporary climate change. Body size affects metabolism and fitness, so changing size has implications for resilience, yet the climatic factors that drive size variation remain poorly understood. We test the role of mean and extreme temperature, rainfall, and remotely sensed primary productivity ( NDVI) as drivers of body size in a sedentary, semi-arid Australian passerine, Ptilotula ( Lichenostomus) penicillatus, over 23 years. To distinguish effects due to differential growth from changes in population composition, we analysed first-year birds and adults separately and considered climatic variation at three temporal scales (current, previous, and preceding 5 years). The strongest effects related to temperature: in both age classes, larger size was associated with warmer mean temperatures in the previous year, contrary to Bergmann's Rule. Moreover, adults were larger in warmer breeding seasons, while first years was larger after heatwaves; these effects are more likely to be mediated through size-dependent mortality, highlighting the role of body size in determining vulnerability to extinction. In addition to temperature, larger adult size was associated with lower primary productivity, which may reflect a trade-off between vegetative growth and nectar production, on which adults rely. Finally, lower rainfall was associated with decreasing size in first year and adults, most likely related to decreased food availability. Overall, body size increased over 23 years, strongly in first-year birds (2.7%) compared with adults (1%), with size outcomes a balance between competing drivers. As rainfall declined over time and productivity remained fairly stable, the temporal increase in body size appears largely driven by rising mean temperature and temperature extremes. Body size responses to environmental change are thus complex and dynamic, driven by effects on growth as well as mortality. [ABSTRACT FROM AUTHOR]

The Great Western Woodlands in S.W. Australia is the largest remaining expanse of temperate woodland on the continent and globally, providing habitat for a significance number of bird species. Conservation planning needs information about bird distributions and habitat resource requirements. Using published information, bird habitat functional groups were identified based upon species that use similar vegetation-based resources. Data from four satellite-borne sensors were analysed to model the distribution of a subset of the key vegetation variables. These results were then used to predict the potential distribution of the functional groups. Field validation suggests ongoing advances in satellite data will enhance the model's accuracy. [ABSTRACT FROM PUBLISHER]

A common approach to nature conservation is to identify and protect natural ‘assets’ such as ecosystems and threatened species. While such actions are essential, protection of assets will not be effective unless the ecological processes that sustain them are maintained. Here, we consider the role of ecological processes and the complementary perspective for conservation arising from an emphasis on process. Many kinds of ecological processes sustain biodiversity: including climatic processes, primary productivity, hydrological processes, formation of biophysical habitats, interactions between species, movements of organisms and natural disturbance regimes. Anthropogenic threats to conservation exert their influence by modifying or disrupting these processes. Such threats extend across tenures, they frequently occur offsite, they commonly induce non-linear responses, changes may be irreversible and the full consequences may not be experienced for lengthy periods. While many managers acknowledge these considerations in principle, there is much scope for greater recognition of ecological processes in nature conservation and greater emphasis on long time-frames and large spatial scales in conservation planning. Practical measures that promote ecological processes include: monitoring to determine the trajectory and rate of processes; incorporating surrogates for processes in conservation and restoration projects; specific interventions to manipulate and restore processes; and planning for the ecological future before options are foreclosed. The long-term conservation of biodiversity and the well-being of human society depend upon both the protection of natural assets and maintaining the integrity of the ecological processes that sustain them. [ABSTRACT FROM AUTHOR]

Aim Most approaches to conservation prioritization are focused on biodiversity features that are already threatened. While this is necessary in the face of accelerating anthropogenic threats, there have been calls to conserve large intact landscapes, often termed ‘wilderness’, to ensure the long-term persistence of biodiversity. In this study, we examine the consequences of directing conservation expenditure using a threat-based framework for wilderness conservation. Location The Australian continent. Methods We measured the degree of congruence between the extent of wilderness and the Australian protected area network in 2000 and 2006, which was established using a threat-based systematic planning framework. We also assessed priority areas for future reserve acquisitions identified by the Australian government under the current framework. Results In 2000, 14% of Australia’s wilderness was under formal protection, while the protected area network covered only 8.5% of the continent, suggesting a historical bias towards wilderness protection. However, the expansion of the reserve system from 2000 to 2006 was biased towards non-wilderness areas. Moreover, 90% of the wilderness that was protected over this period comprised areas not primarily designated for biodiversity conservation. We found a significant ( P < 0.05) negative relationship between bioregions considered to be a priority for future reserve prioritization and the amount of wilderness they contain. Main conclusions While there is an urgent need to overcome past biases in reserve network design so as to better protect poorly represented species and habitats, prioritization approaches should not become so reactive as to ignore the role that large, intact landscapes play in conserving biodiversity, especially in a time of human-induced climate change. This can be achieved by using current or future threats rather than past threats to prioritize areas, and by incorporating key ecological processes and costs of acquisition and management within the planning framework. [ABSTRACT FROM AUTHOR]

From analysis of published global site biomass data (n = 136) from primary forests, we discovered (i) the world's highest known total biomass carbon density (living plus dead) of 1,867 tonnes carbon per ha (average value from 13 sites) occurs in Australian temperate moist Eucalyptus regnans forests, and (ii) average values of the global site biomass data were higher for sampled temperate moist forests (n = 44) than for sampled tropical (n = 36) and boreal (n = 52) forests (n is number of sites per forest biome). Spatially averaged Intergovern- mental Panel on Climate Change biome default values are lower than our average site values for temperate moist forests, because the temperate biome contains a diversity of forest ecosystem types that support a range of mature carbon stocks or have a long land-use history with reduced carbon stocks. We describe a framework for identifying forests important for carbon storage based on the factors that account for high biomass carbon densities, including (i) relatively cool temperatures and moderately high precipitation producing rates of fast growth but slow decomposition, and (ii) older forests that are often multiaged and multilayered and have experienced minimal human disturbance. Our results are relevant to negotiations under the United Nations Framework Convention on Climate Change regarding forest conservation, management, and restoration. Conserving forests with large stocks of biomass from deforestation and degradation avoids significant carbon emissions to the atmosphere, irrespective of the source country, and should be among allowable mitigation activities. Similarly, management that allows restoration of a forest's carbon sequestration potential also should be recognized. [ABSTRACT FROM AUTHOR]

Aim To develop a systematic and generic framework for biogeographical regionalizations that can assist in reconciling different approaches and advance their application as a research tool. Location The Australian continent is used as a case study. Methods A review of approaches to biogeographical regionalization revealed two basic methodologies: the integrated survey method and the parametric approach. To help reconcile these different approaches, we propose a simple, four-step, flexible and generic framework. (1) Identification of the thematic foci from the three main themes (composition and evolutionary legacy; ecosystem drivers; ecosystem responses). (2) Proposal of a theory defining the purpose. (3) Application of a numeric agglomerative classification procedure that requires the user to make explicit assumptions about attributes, the number of classification groups, the spatial unit of analysis, and the metric for measuring the similarity of these units based on their attribute values. (4) Acquisition of spatial estimates of the required input attribute data. For this case study, an agglomerative classification strategy was applied using the functions withinpatn 3.03, a software package facilitating large-scale, multivariate pattern analysis. The input data to the classifications were continental coverages of 11 environmental variables and three indices of gross primary productivity stored at a grid cell resolution of c. 250 m. The spatial units of analysis were surface hydrological units (SHU), which were derived from a continental digital elevation model based on the contributing areas to stream segments or the area draining into a local sink where there is no organized drainage. The Minkowski series (Euclidean distance) was selected as the association measure to allow weightings to be applied to the variables. Results Two new biogeographical regionalizations of the Australian continent were generated. The first was an environmental domain classification, based on 11 climatic, terrain and soil attributes. This regionalization can be used to address hypotheses about the relationship between environmental distance and evolutionary processes. The classification produced 151 environmental groups. The second was a classification of primary productivity regimes based on estimates of the gross primary productivity of the vegetation cover calculated from moderate resolution imaging spectroradiometer (MODIS) normalized difference vegetation index (NDVI) data and estimates of radiation. This classification produced 50 groups, and can be used to examine hypotheses concerning productivity regimes and animal life-history strategies. The productivity classification does not capture all the properties related to biological carrying capacity, process rates and differences in the characteristic biodiversity of ecosystems. Some of these ecologically significant properties are captured by the environmental domain classification. Main conclusions Our framework can be applied to all terrestrial regions, and the necessary data for the analyses presented here are now available at global scales. As the spatial predictions generated by the classifications can be tested by comparison with independent data, the approach facilitates exploratory analysis and further hypothesis generation. Integration of the three themes in our framework will contribute to a more comprehensive approach to biogeography. [ABSTRACT FROM AUTHOR]

The concept of ecological integrity is deeply embedded within the Earth Charter. Ecological integrity refers to the full functioning of a suite of natural processes. "Natural" refers to processes that exist without human input. Arguments against the scientifi c validity of ecological integrity are based on the proposition that the current state of ecological systems merely refl ects past contingencies and consequently there is no natural, healthy condition that can be prescribed scientifi cally. Hence, nature conservation and environmental management goals are a matter of individual and social values and priorities. This argument can be rejected largely on the grounds that integrity of ecosystem processes can be empirically demonstrated, and that the continued wellbeing of humanity depends on the ecological integrity of various natural processes known as Earth's life support systems. The main policy implications of ecological integrityfl ow from accepting that the future wellbeing of the human endeavour is irrevocably coupled to the ongoing integrity of the total Earth system. The caring and compassionate attitude towards wild animals also promoted by the Earth Charter provides additional moral impetus to protecting habitat in situ and consequently ecological integrity. Protecting ecological integrity will require both reorientating the human endeavour towards new patterns of production and consumption together with a commitment to making room for wild nature. [ABSTRACT FROM AUTHOR]

This paper briefly reviews the process of exotic pest risk assessments and presents some examples of emerging opportunities for spatial bioclimatic modeling of exotic species in Canada. This type of analysis can support risk assessments but does not replace the need for on-going high quality field-based observations to validate and update models. Bioclimatic analysis of several exotic pests is provided to illustrate both opportunities and limits. A link is demonstrated to the National Forest Inventory to characterize timber volumes at risk for one exotic species. `Challenges' are both scientific and administrative. More accessible and current field survey data are required to improve models. Our experience is that for many exotic species, historical, and even current, data are not always digital or quality controlled for taxonomic identity and accurate geo-referencing. This inhibits their use for integrated spatial modeling applications. [ABSTRACT FROM AUTHOR]

Aim A hierarchical framework is presented for modelling the spatial distribution of terrestrial vertebrate animals. Location The location of the study is the montane ash forests of the Central Highlands of Victoria, south-eastern Australia. Methods The framework is illustrated using as a case study the distribution of Leadbeater’s Possum [Gymnobelideus leadbeateri McCoy, 1867, (Marsupialia: Petauridae)], a small arboreal marsupial. The framework is based upon quantifying the environmental response of a species in terms of a five-level environmental hierarchy defined by scales (global-, meso-, topo-, micro- and nano-scales) that represent natural breaks in the distribution and availability of the primary environmental resources. Animal response is examined in terms of a species’ distribution as observed in four biological units (the species in toto, meta-population/population, group/colony, and individual organism). We define the spatial occurrence and abundance of the target species in each of these units as its ‘distributional behaviour’. Results Predictions of the potential spatial distribution of Leadbeater’s Possum are presented at meso-, topo-, micro- and nano-scales. These spatial predictions utilize Geographical Information System (GIS)-based spatial models of long term mean monthly climate and terrain-modified surface radiation, together with vegetation cover and individual tree attributes from air-photo interpretation and field survey. Main conclusions Ideally, species’ responses at each level in the environmental hierarchy should be empirically derived using statistical models based on field observation of a species’ distribution and abundance. Spatial modelling of species’ responses becomes problematic at finer scales because of the lack of suitable environmental data. The key characteristics of the modelling framework are generic, but the influence of additional scales and processes will be important in other ecosystems and species. [ABSTRACT FROM AUTHOR]

The authors state that governments should not use compensation that developers pay for damaging biodiversity to meet existing environmental conservation targets such as those under the Convention on Biological Diversity. They comment on biodiversity offsetting schemes which usually try to achieve no net loss of biodiversity and mention the schemes don't always end biodiversity loss but may instead offset existing losses. They suggest offset-funded protected areas should be tallied separately.

Norman Myers recently challenged scientists to consider the social responsibilities that derive from their expertise and knowledge (Myers 1999). He raised important questions regarding how pro-active scientists can or should be in leading public debate about the state of the environment. This article is a response to that call, and hopefully will serve to stimulate further debate on the topic. [ABSTRACT FROM PUBLISHER]

The management of forest ecosystems for sustainabil-ity requires knowledge of the abundance and distribution of all resources, including wood and wildlife, and the ability to predict the impact of management on these resources. Spatially explicit inventories for wildlife are lacking for the vast majority of species. We propose, with example, a method of rapid habitat assessment which can be conducted with available data to produce a spatially explicit inventory of habitat for a species. Information from the literature and some census data were used to construct a simple model of potential habitat for a boreal forest songbird. Available spatial data, including landcover from Landsat TM data, and a digital elevation model, were used to map the distribution of key habitat characteristics onto the landscape. We argue for the development of these preliminary wildlife habitat models using habitat characteristics that are map-pable with currently available remotely sensed data. Given the current trend toward the development of large scale databases of topography and extant land cover, spatially explicit potential habitat models can be efficiently and inexpensively developed to provide a framework for incorporating wildlife habitat into forest management. The relationships between rapid habitat assessment, long-term studies, monitoring, and population viability analysis are discussed. [ABSTRACT FROM PUBLISHER]

The author reflects on the issues of boundaries, data, and conservation for biogeographers. He mentions that biogeographers take for granted the footprint of past evolutionary and ecological processes evident in the extant distributions of species. He also believes that biogeographers can productively analyze species location data in various ways to find important patterns in biodiversity.

SRAD, a spatially-distributed solar radiation model, was applied to a Canadian boreal forest environment in north-western Ontario. SRAD is grid based, and factors in both topo- and meso-scaled processes using a digital elevation model (DEM) and local monthly atmospheric parameters as inputs. SRAD generates estimates of incident, outgoing, and net irradiance, as well as surface and air temperatures for each point in the DEM, over any time period ranging from one day to one year. Cloudiness and other atmospheric conditions are factored into the shortwave irradiance estimates. From the DEM, the terrain effects of slope angle, aspect, and topographic shading are calculated and used to modify the estimates of shortwave irradiance. The SRAD-generated irradiance estimates for the study region were found to be consistent with irradiance data from other sources. Estimates of irradiance were most sensitive to the parameters of sunshine fraction and cloudiness. Radiation estimates were generated and compared using both a 20 m and a 100 m resolution DEM. Extremely low irradiance estimates generated at the fine scale were absent at the coarser scale. However the mean value of irradiance at both scales was estimated to be the same at 12.4 MJm-2 day-1 annually. Radiation estimates were also determined at the two scales for a series of forest research plots. For 91% of the plots, the irradiance estimates during the growing season differed by less than 0.5 MJm-2 day-1 between the two scales. Results presented here suggest that SRAD can provide useful input for predictive spatial models in boreal forest ecosystems. [ABSTRACT FROM AUTHOR]

The management of forest ecosystems for sustainability requires knowledge of the abundance and distribution of all resources, including wood and wildlife, and the ability to predict the impact of managementon these resources. Spatially explicit inventories for wildlife are lacking for the vast majority of species. We propose, with example, amethod of rapid habitat assessment which can be conducted with available data to produce a spatially explicit inventory of habitat for a species. Information from the literature and some census data were used to construct a simple model of potential habitat for a boreal forest songbird. Available spatial data, including landcover from LandsatTM data, and a digital elevation model, were used to map the distribution of key habitat characteristics onto the landscape. We argue forthe development of these preliminary wildlife habitat models using habitat characteristics that are mappable with currently available remotely sensed data. Given the current trend toward the development of large scale databases of topography and extant land cover, spatially explicit potential habitat models can be efficiently and inexpensively developed to provide a framework for incorporating wildlife habitatinto forest management. The relationships between rapid habitat assessment, long-term studies, monitoring, and population viability analysis are discussed. [ABSTRACT FROM AUTHOR]