The transboundary Mekong River is shared by six SE Asia countries (China, Myanmar, Thailand, Lao PDR, Cambodia, and Vietnam). In this paper the livelihoods of farmers and fishers of Lao PDR, Cambodia and Vietnam are e...The transboundary Mekong River is shared by six SE Asia countries (China, Myanmar, Thailand, Lao PDR, Cambodia, and Vietnam). In this paper the livelihoods of farmers and fishers of Lao PDR, Cambodia and Vietnam are examined to assess impacts of Mekong River development and modernization projects on the rural peoples of the Mekong River and Delta. A high proportion of the 190 million rural people of the Mekong basin are dependent on the diverse and abundant resources of the Mekong River and its tributaries for food security and basic necessities, livelihoods, and cultural identities. Although rice farming and fisheries occupations are primary income sources, many livelihoods involve a diversity of on-farm and off-farm activities. Agricultural specialization and intensification and hydropower dam construction on the Mekong main stem and tributaries are altering traditional rural patterns of household food security, income, and cultural ways of living at an increasingly rapid pace. Rural transformation projects must better assess how these modernization efforts change the ecology of the Mekong River and in turn affect the capacity of rural people to adapt in ways that ensure food security and improve household livelihoods. It will be critical that development efforts recognize, value, and invest in rural people’s roles in producing a stable, affordable food system and managing the integrity of river ecosystems upon which future prosperity depends. Interventions are needed to prevent degradation of the Mekong Basin soil and water resources from large-scale agricultural intensification, water diversion and overbuilding of hydropower dams which are threats to small-scale land holdings and farmers and fishers capacities to provide daily food for their own consumption and to feed SE Asia’s growing urban populations.展开更多
Small-scale fisheries(SSFs)are increasingly vulnerable to climate change,particularly in data-limited regions where scientific monitoring is scarce.Local Ecological Knowledge(LEK)offers valuable insights into environm...Small-scale fisheries(SSFs)are increasingly vulnerable to climate change,particularly in data-limited regions where scientific monitoring is scarce.Local Ecological Knowledge(LEK)offers valuable insights into environmental changes and adaptive practices.This study investigated the LEK of mangrove subsistence fishers in Masinloc,Zambales,Philippines,focusing on their perceptions of climate change impacts and the influence of demographic factors on LEK utilization.A structured survey was administered to 335 fishers across four barangays(villages),employing binary and open-ended questions to assess LEK related to climate indicators such as temperature fluctuations,rainfall patterns,typhoon occurrences,and flooding events.Quantitative data were analyzed using Pearson’s chi-square tests,Bonferroni-adjusted post-hoc pairwise comparisons,and Cramer’s V to identify specific associations between LEK and demographic variables.Findings revealed that while fishers possess substantial LEK pertinent to climate change,its application varies significantly with barangay,age,and educational attainment.Notably,these demographic factors influenced the depth and breadth of LEK used in predicting and responding to climate-related events.The study underscored the importance of integrating LEK into climate adaptation strategies,recognizing its potential to enhance resilience in SSFs.Although centered on a specific locale,the insights gleaned from this research contribute to the broader discourse on the role of indigenous knowledge systems in climate change resilience,offering a model for similar communities globally.展开更多
In this study, 10% of all registered fishermen in the coastal towns of Navachiste in Sinaloa, in northwestern Mexico, answered a survey designed to collect data on their perceptions of the following topics: the impact...In this study, 10% of all registered fishermen in the coastal towns of Navachiste in Sinaloa, in northwestern Mexico, answered a survey designed to collect data on their perceptions of the following topics: the impact of turtle meat consumption;human health;bycatch;illegal turtle fishing;the illegal sea turtle market;the lo-cal economy;pollution;environmental education;the success of protective legislation;and sea turtle-based ec-otourism. Perceptions were analyzed using the fuzzy logic method through classification into 5 fuzzy member-ship sets: VL, very low;L, low;M, moderate;H, high;VH, very high. The 9 topics generated decision areas upon applying fuzzy inference that revealed the membership level of the answers in each fuzzy set. The eco-nomic potential of sea turtle-based ecotourism and the economic profitability of the illegal turtle meat market were perceived as VL. Conservation legislation was perceived as H, although inefficiently applied due to cor-ruption. Ecotourism and impacts on sea turtles were perceived as VL, because they were deemed unprofitable activities at the individual and community levels. Environmental education was perceived as L, because it cen-ters on nesting, hatching and releasing turtles and is directed at elementary and middle-school students. While fishers perceive a serious negative impact of fishing activities on sea turtles in the San Ignacio-Navachiste- Macapule area, they do not see themselves individually as part of the problem. Achieving sea turtle conserva-tion in this region requires: suitable ecotourism infrastructure, government investments in promotion, and stud-ies to estimate the minimum number of tourists needed to assure profitability.展开更多
Discontinuities in rock masses critically impact the stability and safety of underground engineering.Mainstream discontinuities identificationmethods,which rely on normal vector estimation and clustering algorithms,su...Discontinuities in rock masses critically impact the stability and safety of underground engineering.Mainstream discontinuities identificationmethods,which rely on normal vector estimation and clustering algorithms,suffer from accuracy degradation,omission of critical discontinuities when orientation density is unevenly distributed,and need manual intervention.To overcome these limitations,this paper introduces a novel discontinuities identificationmethod based on geometric feature analysis of rock mass.By analyzing spatial distribution variability of point cloud and integrating an adaptive region growing algorithm,the method accurately detects independent discontinuities under complex geological conditions.Given that rock mass orientations typically follow a Fisher distribution,an adaptive hierarchical clustering algorithm based on statistical analysis is employed to automatically determine the optimal number of structural sets,eliminating the need for preset clusters or thresholds inherent in traditional methods.The proposed approach effectively handles diverse rock mass shapes and sizes,leveraging both local and global geometric features to minimize noise interference.Experimental validation on three real-world rock mass models,alongside comparisons with three conventional directional clustering algorithms,demonstrates superior accuracy and robustness in identifying optimal discontinuity sets.The proposed method offers a reliable and efficienttool for discontinuities detection and grouping in underground engineering,significantlyenhancing design and construction outcomes.展开更多
文摘The transboundary Mekong River is shared by six SE Asia countries (China, Myanmar, Thailand, Lao PDR, Cambodia, and Vietnam). In this paper the livelihoods of farmers and fishers of Lao PDR, Cambodia and Vietnam are examined to assess impacts of Mekong River development and modernization projects on the rural peoples of the Mekong River and Delta. A high proportion of the 190 million rural people of the Mekong basin are dependent on the diverse and abundant resources of the Mekong River and its tributaries for food security and basic necessities, livelihoods, and cultural identities. Although rice farming and fisheries occupations are primary income sources, many livelihoods involve a diversity of on-farm and off-farm activities. Agricultural specialization and intensification and hydropower dam construction on the Mekong main stem and tributaries are altering traditional rural patterns of household food security, income, and cultural ways of living at an increasingly rapid pace. Rural transformation projects must better assess how these modernization efforts change the ecology of the Mekong River and in turn affect the capacity of rural people to adapt in ways that ensure food security and improve household livelihoods. It will be critical that development efforts recognize, value, and invest in rural people’s roles in producing a stable, affordable food system and managing the integrity of river ecosystems upon which future prosperity depends. Interventions are needed to prevent degradation of the Mekong Basin soil and water resources from large-scale agricultural intensification, water diversion and overbuilding of hydropower dams which are threats to small-scale land holdings and farmers and fishers capacities to provide daily food for their own consumption and to feed SE Asia’s growing urban populations.
文摘Small-scale fisheries(SSFs)are increasingly vulnerable to climate change,particularly in data-limited regions where scientific monitoring is scarce.Local Ecological Knowledge(LEK)offers valuable insights into environmental changes and adaptive practices.This study investigated the LEK of mangrove subsistence fishers in Masinloc,Zambales,Philippines,focusing on their perceptions of climate change impacts and the influence of demographic factors on LEK utilization.A structured survey was administered to 335 fishers across four barangays(villages),employing binary and open-ended questions to assess LEK related to climate indicators such as temperature fluctuations,rainfall patterns,typhoon occurrences,and flooding events.Quantitative data were analyzed using Pearson’s chi-square tests,Bonferroni-adjusted post-hoc pairwise comparisons,and Cramer’s V to identify specific associations between LEK and demographic variables.Findings revealed that while fishers possess substantial LEK pertinent to climate change,its application varies significantly with barangay,age,and educational attainment.Notably,these demographic factors influenced the depth and breadth of LEK used in predicting and responding to climate-related events.The study underscored the importance of integrating LEK into climate adaptation strategies,recognizing its potential to enhance resilience in SSFs.Although centered on a specific locale,the insights gleaned from this research contribute to the broader discourse on the role of indigenous knowledge systems in climate change resilience,offering a model for similar communities globally.
基金We thank the IPN(SIP 20080127,SIP 20090442),COECYT-SINALOA(CECyT-SIN 2009)FOMIX CONACYT-SINALOA(FOMIX-SIN-2008-C01-99712)for financial support.
文摘In this study, 10% of all registered fishermen in the coastal towns of Navachiste in Sinaloa, in northwestern Mexico, answered a survey designed to collect data on their perceptions of the following topics: the impact of turtle meat consumption;human health;bycatch;illegal turtle fishing;the illegal sea turtle market;the lo-cal economy;pollution;environmental education;the success of protective legislation;and sea turtle-based ec-otourism. Perceptions were analyzed using the fuzzy logic method through classification into 5 fuzzy member-ship sets: VL, very low;L, low;M, moderate;H, high;VH, very high. The 9 topics generated decision areas upon applying fuzzy inference that revealed the membership level of the answers in each fuzzy set. The eco-nomic potential of sea turtle-based ecotourism and the economic profitability of the illegal turtle meat market were perceived as VL. Conservation legislation was perceived as H, although inefficiently applied due to cor-ruption. Ecotourism and impacts on sea turtles were perceived as VL, because they were deemed unprofitable activities at the individual and community levels. Environmental education was perceived as L, because it cen-ters on nesting, hatching and releasing turtles and is directed at elementary and middle-school students. While fishers perceive a serious negative impact of fishing activities on sea turtles in the San Ignacio-Navachiste- Macapule area, they do not see themselves individually as part of the problem. Achieving sea turtle conserva-tion in this region requires: suitable ecotourism infrastructure, government investments in promotion, and stud-ies to estimate the minimum number of tourists needed to assure profitability.
基金the National Key Research and Development Program of China(Grant No.2023YFC3009400).
文摘Discontinuities in rock masses critically impact the stability and safety of underground engineering.Mainstream discontinuities identificationmethods,which rely on normal vector estimation and clustering algorithms,suffer from accuracy degradation,omission of critical discontinuities when orientation density is unevenly distributed,and need manual intervention.To overcome these limitations,this paper introduces a novel discontinuities identificationmethod based on geometric feature analysis of rock mass.By analyzing spatial distribution variability of point cloud and integrating an adaptive region growing algorithm,the method accurately detects independent discontinuities under complex geological conditions.Given that rock mass orientations typically follow a Fisher distribution,an adaptive hierarchical clustering algorithm based on statistical analysis is employed to automatically determine the optimal number of structural sets,eliminating the need for preset clusters or thresholds inherent in traditional methods.The proposed approach effectively handles diverse rock mass shapes and sizes,leveraging both local and global geometric features to minimize noise interference.Experimental validation on three real-world rock mass models,alongside comparisons with three conventional directional clustering algorithms,demonstrates superior accuracy and robustness in identifying optimal discontinuity sets.The proposed method offers a reliable and efficienttool for discontinuities detection and grouping in underground engineering,significantlyenhancing design and construction outcomes.
