Alan Grainger

Bio: Alan Grainger is an academic researcher from University of Leeds. The author has contributed to research in topics: Deforestation & Sustainable development. The author has an hindex of 31, co-authored 65 publications receiving 10358 citations.

Book reviews : United Nations Environment Programme. 1992: World atlas of desertification. Sevenoaks: Edward Arnold. x + 70 pp. £85.00 cloth. ISBN 0 340 555122

Abstract: as long ago as 1977. Yet progress in controlling desertification is limited, and although defined at UNCOD as a long-term process of mainly human-induced land degradation that speeds up in times of drought and is not confined to desert fringes, it has remained a controversial and misunderstood phenomenon, still often confused with desert expansion and drought, and plagued by poor data. More accurate estimates of the extent and rate

WG4 Summary: Human dimensions of the forest-carbon issue

Abstract: The preceding discussions have dealt with basic biophysical processes associated with forests and the global carbon (C) cycle, and the technical feasibilities of intervening in those processes so that forests play a stronger role in sequestering C from the atmosphere. Such discussions are a vital component of a full understanding of how humanity might mitigate what we shall call the C problem—what will it take to manage and use forests to lessen climatic change due to increasing atmospheric CO2? Any meaningful answer requires that we put the technical possibilities into the social, economic, institutional and political contexts within which all human endeavour takes place. Are these contexts—current and future— facilitative of strong implementation of the technically feasible actions, or will they pose constraints? If the latter, what will it take to remove the barriers?

The Influence of Changing Conservation Paradigms on Identifying Priority Protected Area Locations

Abstract: Conservation planning for climate change adaptation is only one in a long sequence of conservation paradigms. To identify priority locations for protected areas it must compete with three other contemporary paradigms: conservation of ecosystem services, optimizing conservation of ecosystem services and poverty alleviation, and reducing carbon emissions from deforestation and forest degradation. This chapter shows how conservation paradigms evolved, discusses the merits of different approaches to modelling potential impacts of climate change on biodiversity, and describes the hybrid BIOCLIMA model and its application to Amazonia. It then discusses conservation planning applications of the three other contemporary paradigms, illustrated by examples from Amazonia and Kenya. It finds that rapid paradigm evolution is not a handicap if earlier paradigms can be nested within later ones. But more sophisticated planning tools are needed to identify optimal locations of protected areas when climate is changing, and to use protection to mitigate climate change. These should encompass the complex interactions between biodiversity, hydrological services, carbon cycling services, climate change, and human systems. DOI: 10.4018/978-1-60960-619-0.ch014

The Theory of Island Biogeography

Abstract: Preface to the Princeton Landmarks in Biology Edition vii Preface xi Symbols Used xiii 1. The Importance of Islands 3 2. Area and Number of Speicies 8 3. Further Explanations of the Area-Diversity Pattern 19 4. The Strategy of Colonization 68 5. Invasibility and the Variable Niche 94 6. Stepping Stones and Biotic Exchange 123 7. Evolutionary Changes Following Colonization 145 8. Prospect 181 Glossary 185 References 193 Index 201

High-Resolution Global Maps of 21st-Century Forest Cover Change

Abstract: Quantification of global forest change has been lacking despite the recognized importance of forest ecosystem services. In this study, Earth observation satellite data were used to map global forest loss (2.3 million square kilometers) and gain (0.8 million square kilometers) from 2000 to 2012 at a spatial resolution of 30 meters. The tropics were the only climate domain to exhibit a trend, with forest loss increasing by 2101 square kilometers per year. Brazil's well-documented reduction in deforestation was offset by increasing forest loss in Indonesia, Malaysia, Paraguay, Bolivia, Zambia, Angola, and elsewhere. Intensive forestry practiced within subtropical forests resulted in the highest rates of forest change globally. Boreal forest loss due largely to fire and forestry was second to that in the tropics in absolute and proportional terms. These results depict a globally consistent and locally relevant record of forest change.

Novel methods improve prediction of species' distributions from occurrence data

Abstract: Prediction of species' distributions is central to diverse applications in ecology, evolution and conservation science. There is increasing electronic access to vast sets of occurrence records in museums and herbaria, yet little effective guidance on how best to use this information in the context of numerous approaches for modelling distributions. To meet this need, we compared 16 modelling methods over 226 species from 6 regions of the world, creating the most comprehensive set of model comparisons to date. We used presence-only data to fit models, and independent presence-absence data to evaluate the predictions. Along with well-established modelling methods such as generalised additive models and GARP and BIOCLIM, we explored methods that either have been developed recently or have rarely been applied to modelling species' distributions. These include machine-learning methods and community models, both of which have features that may make them particularly well suited to noisy or sparse information, as is typical of species' occurrence data. Presence-only data were effective for modelling species' distributions for many species and regions. The novel methods consistently outperformed more established methods. The results of our analysis are promising for the use of data from museums and herbaria, especially as methods suited to the noise inherent in such data improve.

Predicting species distribution: offering more than simple habitat models.

Abstract: In the last two decades, interest in species distribution models (SDMs) of plants and animals has grown dramatically. Recent advances in SDMs allow us to potentially forecast anthropogenic effects on patterns of biodiversity at different spatial scales. However, some limitations still preclude the use of SDMs in many theoretical and practical applications. Here, we provide an overview of recent advances in this field, discuss the ecological principles and assumptions underpinning SDMs, and highlight critical limitations and decisions inherent in the construction and evaluation of SDMs. Particular emphasis is given to the use of SDMs for the assessment of climate change impacts and conservation management issues. We suggest new avenues for incorporating species migration, population dynamics, biotic interactions and community ecology into SDMs at multiple spatial scales. Addressing all these issues requires a better integration of SDMs with ecological theory.