Inhibition of Amazon Deforestation and Fire by Parks and Indigenous Lands

Abstract:  Conservation scientists generally agree that many types of protected areas will be needed to protect tropical forests. But little is known of the comparative performance of inhabited and uninhabited reserves in slowing the most extreme form of forest disturbance: conversion to agriculture. We used satellite-based maps of land cover and fire occurrence in the Brazilian Amazon to compare the performance of large (>10,000 ha) uninhabited (parks) and inhabited (indigenous lands, extractive reserves, and national forests) reserves. Reserves significantly reduced both deforestation and fire. Deforestation was 1.7 (extractive reserves) to 20 (parks) times higher along the outside versus the inside of the reserve perimeters and fire occurrence was 4 (indigenous lands) to 9 (national forests) times higher. No strong difference in the inhibition of deforestation ( p = 0.11) or fire ( p = 0.34) was found between parks and indigenous lands. However, uninhabited reserves tended to be located away from areas of high deforestation and burning rates. In contrast, indigenous lands were often created in response to frontier expansion, and many prevented deforestation completely despite high rates of deforestation along their boundaries. The inhibitory effect of indigenous lands on deforestation was strong after centuries of contact with the national society and was not correlated with indigenous population density. Indigenous lands occupy one-fifth of the Brazilian Amazon—five times the area under protection in parks—and are currently the most important barrier to Amazon deforestation. As the protected-area network expands from 36% to 41% of the Brazilian Amazon over the coming years, the greatest challenge will be successful reserve implementation in high-risk areas of frontier expansion as indigenous lands are strengthened. This success will depend on a broad base of political support.     

MEANING AND FORM IN COMMUNITY PERCEPTION OF TOWN CHARACTER

This study explored the notion of ‘town character’ within the context of one Australian coastal town from the perspective of the community. Responses from a sample of residents to a set of local environmental features were collected using adjective rating scales. Data concerning the perceived character compatibility of features was also collected. Several multivariate statistical procedures, including multi-dimensional scaling, were used to explore the underlying structure in the response pattern and to determine the salience of meanings related to the community's conception of town character, as conveyed through local landscape features. Town character in the context of this study was found to be related to a variety of environmental features and associated meanings. Specifically, a positive character image was strongly supported by natural landscape features associated with their naturalness, beauty, pleasantness, distinctiveness, and interest, by certain built features, (specifically landmark features), associated with their distinctiveness, pleasantness, charm, familiarity, and interest, and by popular social settings associated with connotations of familiarity, friendliness, openness, liveliness, and safety. Features identified as incompatible with local character were associated with negative meanings that included boredom, ugliness, lack of charm, lack of stimulation, monotony, unpleasantness, and being ordinary.     

Metaphors for Reflecting on Research Practice: Researching with People

There are renewed demands for transparency and stakeholder participation in environmental planning and management. Research is a generic form of practice common to many professions. Appreciating the position of the researcher and reflecting on research practice can enhance its transparency. The case is presented for considering underlying metaphors as a way of making understandings explicit, transparent and structured, so as to enhance reflection on research practice. Metaphors can be explored, either individually or jointly, and learning opportunities can come from the exploration and awareness of alternative metaphors. Four metaphors have been chosen to reflect on research practice: research-as-action, research-as-narrative, research-as-facilitation and research-as-responsible. These metaphors define various roles relevant to researching with people and seem powerful ways of discussing what researching or planning with people might entail, and how to include the position of the researcher/planner in reflective practice. Whilst the primary concern is with research practice, the arguments might equally apply to other forms of practice such as planning, managing, advising or regulating.     

Long-Term Ecosystem Dynamics in the Serengeti: Lessons for Conservation

Abstract:  Data from long-term ecological studies further understanding of ecosystem dynamics and can guide evidence-based management. In a quasi-natural experiment we examined long-term monitoring data on different components of the Serengeti-Mara Ecosystem to trace the effects of disturbances and thus to elucidate cause-and-effect connections between them. The long-term data illustrated the role of food limitation in population regulation in mammals, particularly in migratory wildebeest and nonmigratory buffalo. Predation limited populations of smaller resident ungulates and small carnivores. Abiotic events, such as droughts and floods, created disturbances that affected survivorship of ungulates and birds. Such disturbances showed feedbacks between biotic and abiotic realms. Interactions between elephants and their food allowed savanna and grassland communities to co-occur. With increased woodland vegetation, predators' capture of prey increased. Anthropogenic disturbances had direct (hunting) and indirect (transfer of disease to wildlife) effects. Slow and rapid changes and multiple ecosystem states became apparent only over several decades and involved events at different spatial scales. Conservation efforts should accommodate both infrequent and unpredictable events and long-term trends. Management should plan on the time scale of those events and should not aim to maintain the status quo. Systems can be self-regulating through food availability and predator-prey interactions; thus, culling may not be required. Ecosystems can occur in multiple states; thus, there may be no a priori need to maintain one natural state. Finally, conservation efforts outside protected areas must distinguish between natural change and direct human-induced change. Protected areas can act as ecological baselines in which human-induced change is kept to a minimum     

Contrasting Global Trends in Marine Fishery Status Obtained from Catches and from Stock Assessments

Abstract: There are differences in perception of the status of fisheries around the world that may partly stem from how data on trends in catches over time have been used. On the basis of catch trends, it has been suggested that about 70% of all stocks are overexploited due to unsustainable harvesting and 30% of all stocks have collapsed to <10% of unfished levels. Catch trends also suggest that over time an increasing number of stocks will be overexploited and collapsed. We evaluated how use of catch data affects assessment of fisheries stock status. We analyzed simulated random catch data with no trend. We examined well‐studied stocks classified as collapsed on the basis of catch data to determine whether these stocks actually were collapsed. We also used stock assessments to compare stock status derived from catch data with status derived from biomass data. Status of stocks derived from catch trends was almost identical to what one would expect if catches were randomly generated with no trend. Most classifications of collapse assigned on the basis of catch data were due to taxonomic reclassification, regulatory changes in fisheries, and market changes. In our comparison of biomass data with catch trends, catch trends overestimated the percentage of overexploited and collapsed stocks. Although our biomass data were primarily from industrial fisheries in developed countries, the status of these stocks estimated from catch data was similar to the status of stocks in the rest of the world estimated from catch data. We conclude that at present 28–33% of all stocks are overexploited and 7–13% of all stocks are collapsed. Additionally, the proportion of fished stocks that are overexploited or collapsed has been fairly stable in recent years.