Fishers' Knowledge of Marine Species Assemblages: Bridging between Scientific and Local Ecological Knowledge in Southeastern Puerto Rico

Increasingly, local ecological knowledge (LEK) held by groups of people engaging directly with their ecosystems for food production is recognized as a valuable tool for understanding environmental change, as well as for ecosystem management and conservation. However, the acceptance of LEK for resource management has been partly hindered by difficulties in translating local knowledge into a form that can be applied directly to Western scientific endeavors. Anthropology's focus on cultural meaning makes its practitioners uniquely qualified to find common ground between different systems of knowledge. Here, I report the use of ethnographic methods to represent Puerto Rican small-scale fishers' knowledge about tropical coastal habitat connectivity and the composition of species assemblages by underwater habitats. These two topics are of current interest for tropical fishery science and their study can benefit from fishers' extensive experience with the coastal environments on which they depend.     

Science in the age of mechanical reproduction: moral and epistemic relations between diagrams and photographs

Sociologists, philosophers and historians of science are gradually recognizing the importance of visual representation. This is part of a more general movement away from a theory-centric view of science and towards an interest in practical aspects of observation and experimentation. Rather than treating science as a matter of demonstrating the logical connection between theoretical and empirical statements, an increasing number of investigations are examining how scientists compose and use diagrams, graphs, photographs, micrographs, maps, charts, and related visual displays. This paper focuses on diagrams in biology, and tries to demonstrate how diagrams are an integral part of the production of scientific knowledge. In order to disclose some of the distinctive practical and analytical uses of diagrams, the paper contrasts the way diagrams and photographs are used in biological texts. Both diagrams and photographs are shown to be “constructions” that separately and together mediate the investigation of scientific phenoman.     

Personal reflections on the nature of intelligence in humans and machines

Computers, the human mind, and social systems have common problems of inadequate memory and insufficient data manipulation speed. In each of these domains, information compression techniques have evolved to reduce storage and processing needs. Among the techniques for information compression, coding of information in procedures stands out as exceptionally powerful. Procedural information coding also gives rise to behavior that may be defined as intelligent. It is found in the human mind, in machines and in social systems. Its use in human thought is aided by language development which promotes regular review of abstract procedures. A practical consequence of better understanding of procedural information coding is the possibility of training people to exhibit greater mental capacity, a controversial possibility. This paper explores the impact of data processing resource limitations, data compression and procedural thinking in men and machines.     

Progress in fold recognition

The prediction experiment reveals that fold recognition has become a powerful tool in structural biology. We applied our fold recognition technique to 13 target sequences. In two cases, replication terminating protein and prosequence of subtilisin, the predicted structures are very similar to the experimentally determined folds. For the first time, in a public blind test, the unknown structures of proteins have been predicted ahead of experiment to an accuracy approaching molecular detail. In two other cases the approximate folds have been predicted correctly. According to the assessors there were 12 recognizable folds among the target proteins. In our postprediction analysis we find that in 7 cases our fold recognition technique is successful. In several of the remaining cases the predicted folds have interesting features in common with the experimental results. We present our procedure, discuss the results, and comment on several fundamental and technical problems encountered in fold recognition. © 1995 Wiley-Liss, Inc.     

Bottom‐up Conservation

Conservation initiatives that have worked well in temperate and developed regions have often been applied in the tropics but with only limited success. Part of this failure is due to top–down conservation planning that has been conducted without taking local socio‐economic considerations into adequate account. Here, we argue that conservation approaches would benefit from a deeper understanding of human–nature interactions.     

Characterizing the spatial distribution of giant pandas (Ailuropoda melanoleuca) in fragmented forest landscapes

Aim To examine the effects of forest fragmentation on the distribution of the entire wild giant panda (Ailuropoda melanoleuca) population, and to propose a modelling approach for monitoring the spatial distribution and habitat of pandas at the landscape scale using Moderate Resolution Imaging Spectro‐radiometer (MODIS) enhanced vegetation index (EVI) time‐series data. Location Five mountain ranges in south‐western China (Qinling, Minshan, Qionglai, Xiangling and Liangshan). Methods Giant panda pseudo‐absence data were generated from data on panda occurrences obtained from the third national giant panda survey. To quantify the fragmentation of forests, 26 fragmentation metrics were derived from 16‐day composite MODIS 250‐m EVI multi‐temporal data and eight of these metrics were selected following factor analysis. The differences between panda presence and panda absence were examined by applying significance testing. A forward stepwise logistic regression was then applied to explore the relationship between panda distribution and forest fragmentation. Results Forest patch size, edge density and patch aggregation were found to have significant roles in determining the distribution of pandas. Patches of dense forest occupied by giant pandas were significantly larger, closer together and more contiguous than patches where giant pandas were not recorded. Forest fragmentation is least in the Qinling Mountains, while the Xiangling and Liangshan regions have most fragmentation. Using the selected landscape metrics, the logistic regression model predicted the distribution of giant pandas with an overall accuracy of 72.5% (κ = 0.45). However, when a knowledge‐based control for elevation and slope was applied to the regression, the overall accuracy of the model improved to 77.6% (κ = 0.55). Main conclusions Giant pandas appear sensitive to patch size and isolation effects associated with fragmentation of dense forest, implying that the design of effective conservation areas for wild giant pandas must include large and dense forest patches that are adjacent to other similar patches. The approach developed here is applicable for analysing the spatial distribution of the giant panda from multi‐temporal MODIS 250‐m EVI data and landscape metrics at the landscape scale.     

Could 2021–2030 be the decade to couple new human values with ecological restoration? Valuable insights and actions are emerging from the Colombian Amazon

Looking ahead to the United Nations' 2021–2030 Decade of Ecosystem Restoration, we would like to ponder and discuss two fundamental goals to improve, mainstream, and scale up ecological restoration. The first is to cultivate alternative visions of the human dimension in relation to ecological restoration and other restorative activities. The second is to develop shared protocols for planning, revamping, and monitoring the progress of social goals related to ecological restoration within the social construction theoretical framework, based on three interrelated dimensions: stakeholder‐based problem definition, social representations, and legitimation. We draw on ongoing work in Caquetá (Colombian Amazonia) to consider how these dimensions may be incorporated into tangible restoration practices. Caquetá is facing the highest deforestation rates in the Amazonian region due to a highly volatile sociopolitical context and recent armed conflicts that have claimed thousands of victims to date. We conclude that the work in Caquetá demonstrates a process of social construction that effectively couples new human values with ecological restoration. Our work also provides evidence that the human dimension of restoration is a central issue in the restoration of human, social, and ecosystem health and must be integrated into the framework of the coming Decade of Ecosystem Restoration.     

生物多样性相关传统知识调查与评估: 以澜沧与康定两县域为例

本研究依据《县域生物多样性相关传统知识调查与评估技术规定》, 调查评估了云南省澜沧县和四川省康定市两县域生物多样性相关传统知识的分布数量与特征, 分析了传统知识保护与传承状况, 识别了主要受威胁因素和保护空缺, 旨在为我国传统知识保护和民族地区实施传统知识获取与惠益分享制度提供科学依据, 推动《生物多样性公约》与《名古屋议定书》等国际公约的履行。研究结果如下: 分别调查编目澜沧县、康定市的生物多样性相关传统知识145项、98项; 这些传统知识具有明显的地区气候与自然环境特征、生产生活实践特征、传统文化特征和地区社会经济特征; 相关部门在传统知识保护管理方面做出了积极努力, 同时包括习惯法、传统节庆等传统文化和包括祭祀、神山、神林等宗教方式在内的地方社区行动在传统知识保护与传承方面也发挥了重要作用; 生物多样性相关传统知识、创新和做法已被广泛应用于地方社区脱贫攻坚和产业发展; 传统知识保护立法仍不健全、受到威胁、保护意识薄弱及承载传统知识的生物资源减少是制约传统知识保护传承的主要因素。两县域生物多样性相关传统知识丰富, 并且地方社区有效参与了生物多样性相关传统知识的保护与可持续利用。今后应建立传统知识获取与惠益分享国家制度; 加强宣传教育, 提升保护传承意识; 因地制宜开展传统知识保护; 推动传统知识相关生物资源的保护与可持续利用。