Richard M. Cowling
Nelson Mandela Metropolitan University
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Featured researches published by Richard M. Cowling.
Nature | 2004
Ana S. L. Rodrigues; Sandy Andelman; Mohamed I. Bakarr; Luigi Boitani; Thomas M. Brooks; Richard M. Cowling; Lincoln D. C. Fishpool; Gustavo A. B. da Fonseca; Kevin J. Gaston; Michael R. Hoffmann; Janice S. Long; Pablo A. Marquet; John D. Pilgrim; Robert L. Pressey; Jan Schipper; Wes Sechrest; Simon N. Stuart; Les G. Underhill; Robert W. Waller; Matthew E. Watts; Xie Emily Yan
The Fifth World Parks Congress in Durban, South Africa, announced in September 2003 that the global network of protected areas now covers 11.5% of the planets land surface. This surpasses the 10% target proposed a decade earlier, at the Caracas Congress, for 9 out of 14 major terrestrial biomes. Such uniform targets based on percentage of area have become deeply embedded into national and international conservation planning. Although politically expedient, the scientific basis and conservation value of these targets have been questioned. In practice, however, little is known of how to set appropriate targets, or of the extent to which the current global protected area network fulfils its goal of protecting biodiversity. Here, we combine five global data sets on the distribution of species and protected areas to provide the first global gap analysis assessing the effectiveness of protected areas in representing species diversity. We show that the global network is far from complete, and demonstrate the inadequacy of uniform—that is, ‘one size fits all’—conservation targets.
Trends in Ecology and Evolution | 1996
Richard M. Cowling; Philip W. Rundel; Byron B. Lamont; Mary T. K. Arroyo; Margarita Arianoutsou
The high plant diversity of mediterranean-climate regions has attracted much attention over the past few years. This review discusses patterns and determinants of local, differential and regional plant diversity in all five regions. Local diversity shows great variation within and between regions and explanations for these patterns invoke a wide range of hypotheses. Patterns of regional diversity are the result of differential speciation and extinction rates during the Quaternary. These rates have been influenced more by the incidence of fire and the severity of climate change than by environmental heterogeneity. All regions have a high number of rare and locally endemic taxa that survive as small populations, many of which are threatened by habitat transformation.
Nature | 2007
Félix Forest; G Richard; R Mathieu; T.J. Davies; Richard M. Cowling; D. P Faith; Andrew Balmford; J. C Manning; S Proches; M van der Bank; G. Reeves; Terry A. Hedderson; Savolainen
One of the biggest challenges for conservation biology is to provide conservation planners with ways to prioritize effort. Much attention has been focused on biodiversity hotspots. However, the conservation of evolutionary process is now also acknowledged as a priority in the face of global change. Phylogenetic diversity (PD) is a biodiversity index that measures the length of evolutionary pathways that connect a given set of taxa. PD therefore identifies sets of taxa that maximize the accumulation of ‘feature diversity’. Recent studies, however, concluded that taxon richness is a good surrogate for PD. Here we show taxon richness to be decoupled from PD, using a biome-wide phylogenetic analysis of the flora of an undisputed biodiversity hotspot—the Cape of South Africa. We demonstrate that this decoupling has real-world importance for conservation planning. Finally, using a database of medicinal and economic plant use, we demonstrate that PD protection is the best strategy for preserving feature diversity in the Cape. We should be able to use PD to identify those key regions that maximize future options, both for the continuing evolution of life on Earth and for the benefit of society.
Proceedings of the National Academy of Sciences of the United States of America | 2008
Richard M. Cowling; Benis Egoh; Andrew T. Knight; Patrick J. O'Farrell; Belinda Reyers; Mathieu Rouget; Dirk J. Roux; Adam Welz; Angelika Wilhelm-Rechman
Research on ecosystem services has grown markedly in recent years. However, few studies are embedded in a social process designed to ensure effective management of ecosystem services. Most research has focused only on biophysical and valuation assessments of putative services. As a mission-oriented discipline, ecosystem service research should be user-inspired and user-useful, which will require that researchers respond to stakeholder needs from the outset and collaborate with them in strategy development and implementation. Here we provide a pragmatic operational model for achieving the safeguarding of ecosystem services. The model comprises three phases: assessment, planning, and management. Outcomes of social, biophysical, and valuation assessments are used to identify opportunities and constraints for implementation. The latter then are transformed into user-friendly products to identify, with stakeholders, strategic objectives for implementation (the planning phase). The management phase undertakes and coordinates actions that achieve the protection of ecosystem services and ensure the flow of these services to beneficiaries. This outcome is achieved via mainstreaming, or incorporating the safeguarding of ecosystem services into the policies and practices of sectors that deal with land- and water-use planning. Management needs to be adaptive and should be institutionalized in a suite of learning organizations that are representative of the sectors that are concerned with decision-making and planning. By following the phases of our operational model, projects for safeguarding ecosystem services are likely to empower stakeholders to implement effective on-the-ground management that will achieve resilience of the corresponding social-ecological systems.
Conservation Biology | 2009
William J. Sutherland; William M. Adams; Richard B. Aronson; Rosalind Aveling; Tim M. Blackburn; S. Broad; Germán Ceballos; Isabelle M. Côté; Richard M. Cowling; G. A.B. Da Fonseca; Eric Dinerstein; Paul J. Ferraro; Erica Fleishman; Claude Gascon; Malcolm L. Hunter; Jon Hutton; Peter Kareiva; A. Kuria; David W. Macdonald; Kathy MacKinnon; F.J. Madgwick; Michael B. Mascia; Jeffrey A. McNeely; E. J. Milner-Gulland; S. Moon; C.G. Morley; S. Nelson; D. Osborn; M. Pai; E.C.M. Parsons
We identified 100 scientific questions that, if answered, would have the greatest impact on conservation practice and policy. Representatives from 21 international organizations, regional sections and working groups of the Society for Conservation Biology, and 12 academics, from all continents except Antarctica, compiled 2291 questions of relevance to conservation of biological diversity worldwide. The questions were gathered from 761 individuals through workshops, email requests, and discussions. Voting by email to short-list questions, followed by a 2-day workshop, was used to derive the final list of 100 questions. Most of the final questions were derived through a process of modification and combination as the workshop progressed. The questions are divided into 12 sections: ecosystem functions and services, climate change, technological change, protected areas, ecosystem management and restoration, terrestrial ecosystems, marine ecosystems, freshwater ecosystems, species management, organizational systems and processes, societal context and change, and impacts of conservation interventions. We anticipate that these questions will help identify new directions for researchers and assist funders in directing funds.
Botanical Review | 1991
Byron B. Lamont; D. C. Le Maitre; Richard M. Cowling; Neal J. Enright
The retention of seeds in the plant canopy for one to 30 years or more is termed serotiny. It is well represented floristically and physiognomically in fire-prone, nutrient-poor and seasonally-dry sclerophyll vegetation in Australia, and to a lesser extent, South Africa followed by North America. While the seed-storing structures vary greatly, all will release their propagules following exposure to the heat of a fire (pyriscence). This phenomenon can be contrasted with seed release at maturity (non-storage) and soil storage of seeds. Although the evolutionary requirements for serotiny are clear, its adaptive advantages over other seed storage syndromes are largely the subject of conjecture in the absence of comparative experiments. Nine hypotheses were assessed here. Canopy storage maximises the quantity of seeds available for the next post-fire generation (unlike non-storage). Synchronized post-fire release satiates post-dispersal granivores (unlike non-storage and soil storage) and ensures arrival on a seed bed conducive to seedling recruitment (unlike non-storage). Canopy stored seeds are better insulated from the heat of a fire than non-stored, and probably soil-stored, seeds. Fluctuating annual seed crops, the opportunity for post-fire wind-dispersal, the possible advantages of dense stands of adults, short lifespan of the dispersed seeds and their optimal location in the soil for germination have only a limited role in explaining the advantages of serotiny. It is concluded that canopy seed storage is favoured in regions where seed production is restricted and inter-fire establishment and maturation are unlikely. In addition, these regions have a reliable seasonal rainfall and are subjected to intense fires at intervals occurring within the reproductive lifespan of the species.AbstraktDas Speichern von Samen für ein bis zu 30 Jahren im Blattwerk der Pflanzen bezeichnet man als ‘Serotiny.’ Es ist in zu Bränden neigenden, nährstoffarmen und periodisch trockenen Hartlaub-Vegetationen in Australien und in geringerem Ausmaß in Nordamerika und Südafrika häufig vertreten. Obwohl die Samenspeiche-rungsstrukturen stark variieren, werden alle ihre Brutkörper frei, nachdem sie der Hitze von Feuer ausgesetzt waren (pyrhiscene). Dieses Phänomen steht im Gegensatz zur Samenfreigabe bei Reife (Nicht-Lagerung) und Bodenlagerung. Obwohl die Entwicklungsvoraussetzungen für ‘Serotiny’ bekannt sind, ist die Überlegenheit gegenüber anderen Samenspeicherungserscheinungsbildern aufgrund der Anpassungsfä-higkeit, größtenteils Gegenstand von Vermutungen, da es vergleichende Experimente nicht gibt. Neun Hypothesen wurden hier bewertet. Blattwerkspeicherung maximiert die Menge des zur Verfügung stehenden Samens für die nächste Generation nach einem Feuer (im Gegensatz zur Nicht-Lagerung). Gleichzeitige Abgabe nach einem Feuer übersättigt die Körnerfresser (im Gegensatz zur Nicht-Lagerung und Bodenlagerung) und sichert so ein Auftreften auf dem Saatbeet, dieses ist für die Sämlingverstärkung von Nutzen. Samen welche im Blattwerk gelagert sind, sind besser gegen die Hitze des Feuers geschützt als nichtgespeicherte Samen und wahrscheinlich auch als bodengelagerte Samen. Schwankende jährliche Samenausbeute, die größere Möglichkeit für Ausbreitung durch den Wind, die möglichen Vorteile durch dichteres Zusammenstehen von älteren Pflanzen, kurze Lebensspanne von verstreuten Samen und die für die Keimung optimale Lage im Boden spielen nur eine begrenzte Rolle in der Erklärung der Vorteile der ‘Serotiny’. Es wird daher geschlossen, daß Blattwerksamenspeicherung in Regionen unwahrscheinlicher Zwischenfeuer-Etablierung und Reifung bevorzugt wird. Weiterhin haben diese Regionen einen verläßlichen saisonalen Regenfall und sind Gegenstand ausgedehnter Brände, die in Intervallen innerhalb der Fortpflanzungslebensspanne der Spezies auftreten.
Biological Conservation | 2003
Richard M. Cowling; Robert L. Pressey; Mathieu Rouget; Amanda T. Lombard
We produced a conservation plan that achieved conservation targets for biodiversity pattern and process in the species- and endemic-rich Cape Floristic Region of South Africa. Features given quantitative conservation targets were land classes, localities of Proteaceae and selected vertebrate (freshwater fish, amphibians and reptiles) species, population sizes for medium- and large-sized mammals, and six types of spatial surrogates for ecological and evolutionary processes. The plan was developed in several stages using C-Plan, a decision support system linked to a geographic information system. Accepting the existing reserve system as part of the plan, we first selected spatially fixed surrogates for biodiversity processes; then we included those planning units that were essential for achieving targets for land classes, Proteaceae and vertebrate species; next we included areas required to accommodate population and design targets for large and medium-sized mammals; we then selected planning units required to conserve entire upland–lowland and macroclimatic gradients; and finally we resolved the options for achieving remaining targets while also consolidating the design of conservation areas. The result was a system of conservation areas, requiring, in addition to the existing reserve system, 52% of the remaining extant habitat in the planning domain, as well as restorable habitat, that will promote the persistence and continued diversification of much of the region’s biota in the face of ongoing habitat loss and climate change. After describing the planning process, we discuss implementation priorities in relation to conservation value and vulnerability to habitat loss, as well as socio-economic, political and institutional constraints and opportunities. # 2003 Elsevier Science Ltd. All rights reserved.
Biological Conservation | 2003
Robert L. Pressey; Richard M. Cowling; Mathieu Rouget
The Cape Floristic Region of South Africa is a global biodiversity hotspot. In 1998, a process of conservation planning began in the region that required quantitative targets for biodiversity. We combined new information and previously available data sets on biodiversity pattern and process to formulate targets for five groups of features: 102 broad habitat units (land types); locality records for 364 plant species in the family Proteaceae; locality records for 345 species of reptiles, amphibians and freshwater fish; estimated distributions and densities of 41 species of large and medium-sized mammals; and six types of spatial surrogates for ecological and evolutionary processes. We discuss our approach to formulating quantitative targets in the context of the general role of targets in conservation planning, the inadequacy of commonly used standard targets such as 10% of features or whole regions, and the uncertainties around setting targets for land types. We then describe our reasoning and methods for analysing data and identifying targets for each group of features. Our targets are not theoretical-they have been used to develop a regional conservation plan for which implementation is underway. Our targets are, however, provisional. Like any other conservation targets, they are estimates of the requirements for persistence of a regions biodiversity made within the constraints of limited information. We expect them to be improved in future reviews of appropriate targets for the Cape Floristic Region and elsewhere. Crown Copyright (C) 2003 Published by Elsevier Science Ltd. All rights reserved.
Biological Conservation | 2003
Mathieu Rouget; Richard M. Cowling; J.Wendy Lloyd; Amanda T. Lombard
The formulation of an effective strategic plan for biodiversity conservation in the Cape Floristic Region (CFR) requires an assessment of the current situation with regard to habitat transformation, and an explicit framework for predicting the likelihood of remaining habitat (i.e. that potentially available for conservation) being transformed. This paper presents the results of a detailed assessment of the current and future extent of three important factors that threaten biodiversity in the CFR: cultivation for intensive agriculture (including commercial forestry plantations), urbanisation, and stands of invasive (self-sown) alien trees and shrubs. The extent of habitat transformation was mapped at the scale of 1:250,000, using primarily satellite imagery. We compared models derived from a rule-based approach relying on expert knowledge and a regression-tree technique to identify other areas likely to be affected by these factors in future. Cultivation for agriculture has transformed 25.9% of the CFR and dense stands of woody alien plants and urban areas each cover 1.6%. Both models predict that at least 30% of the currently remaining natural vegetation could be transformed within 20 years. There was an overall accuracy of 73% between both models although significant differences were found for some habitat types. Spatial predictions of future agriculture threats derived from the rule-based approach were overestimated relative to the statistical approach, whereas future alien spread was underestimated. Threat assessment was used to derive conservation targets for subsequent stages of conservation planning for the CFR. The importance of integrating vulnerability knowledge into conservation planning is discussed. The choice of vulnerability analysis (future habitat degradation and/or impact on biological entities) and methods will depend on the complexity of the threatening processes and the availability of spatial data.
Ecology | 1996
Steven I. Higgins; Richard M. Cowling
Alien plants invade many ecosystems worldwide and often have substantial negative effects on ecosystem structure and functioning. Our ability to quantitatively predict these impacts is, in part, limited by the absence of suitable plant-spread models and by inadequate parameter estimates for such models. This paper explores the effects of model, plant, and environmental attributes on predicted rates and patterns of spread of alien pine trees (Pinus spp.) in South African fynbos (a mediterranean-type shrubland). A factorial experimental design was used to: (1) compare the predictions of a simple reaction-diffusion model and a spatially explicit, individual-based simulation model; (2) investigate the sensitivity of predicted rates and patterns of spread to parameter values; and (3) quantify the effects of the simulation models spatial grain on its predictions. The results show that the spatial simulation model places greater emphasis on interactions among ecological processes than does the reaction-diffusion model. This ensures that the predictions of the two models differ substantially for some factor combinations. The most important factor in the model is dispersal ability. Fire frequency, fecundity, and age of reproductive maturity are less important, while adult mortality has little effect on the models predictions. The simulation models predictions are sensitive to the models spatial grain. This suggests that simulation models that use matrices as a spatial framework should ensure that the spatial grain of the model is compatible with the spatial processes being modeled. We conclude that parameter estimation and model development must be integrated pro- cedures. This will ensure that the models structure is compatible with the biological pro- cesses being modeled. Failure to do so may result in spurious predictions.