{"title":"利用生态轨迹识别生态热点:印度巴拉特布尔基奥拉迪奥国家公园案例。","authors":"Garima Toor, Neha Goyal Tater, Tarush Chandra","doi":"10.1007/s00267-024-02087-w","DOIUrl":null,"url":null,"abstract":"<p><p>Ecological conservation and sustainable land management are vital endeavors in the face of rising anthropogenic pressures and habitat deterioration. Accurate and effective evaluation techniques are essential for identifying regions that are of ecological relevance and concern. The present research introduces an innovative approach using geospatial tools to detect natural hotspots and deficits within a landscape. The research incorporates six essential ecological parameters, namely spatial variability, vegetation health, road network connectivity, fragmentation, biological richness, and habitat areas, obtained from existing literature studies. These parameters indicate the overall health of ecosystems and the extent of biodiversity present, which are crucial for developing effective strategies for ecological planning. The research project aims to use geospatial applications to identify the \"ecological rich\", \"ecological moderate\" or \"ecological deficit\" areas in the study area and to establish a model framework for automating the geospatial analysis. The resulting map offers a comprehensive and practical depiction of the ecological condition of the landscape, facilitating decision-makers in strategically allocating resources for conservation and restoration initiatives. The importance of this research resides in its capacity to streamline and automate what was previously a time-consuming and labor-intensive procedure. This innovative approach empowers conservationists, land managers, and policymakers with a powerful tool \"Eco-track' to identify and prioritize ecological hotspots and deficits, ultimately fostering more effective and targeted efforts in preserving the natural heritage.</p>","PeriodicalId":543,"journal":{"name":"Environmental Management","volume":" ","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identification of Ecological Hotspots Using the Eco-track: Case of Keoladeo National Park, Bharatpur, India.\",\"authors\":\"Garima Toor, Neha Goyal Tater, Tarush Chandra\",\"doi\":\"10.1007/s00267-024-02087-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Ecological conservation and sustainable land management are vital endeavors in the face of rising anthropogenic pressures and habitat deterioration. Accurate and effective evaluation techniques are essential for identifying regions that are of ecological relevance and concern. The present research introduces an innovative approach using geospatial tools to detect natural hotspots and deficits within a landscape. The research incorporates six essential ecological parameters, namely spatial variability, vegetation health, road network connectivity, fragmentation, biological richness, and habitat areas, obtained from existing literature studies. These parameters indicate the overall health of ecosystems and the extent of biodiversity present, which are crucial for developing effective strategies for ecological planning. The research project aims to use geospatial applications to identify the \\\"ecological rich\\\", \\\"ecological moderate\\\" or \\\"ecological deficit\\\" areas in the study area and to establish a model framework for automating the geospatial analysis. The resulting map offers a comprehensive and practical depiction of the ecological condition of the landscape, facilitating decision-makers in strategically allocating resources for conservation and restoration initiatives. The importance of this research resides in its capacity to streamline and automate what was previously a time-consuming and labor-intensive procedure. This innovative approach empowers conservationists, land managers, and policymakers with a powerful tool \\\"Eco-track' to identify and prioritize ecological hotspots and deficits, ultimately fostering more effective and targeted efforts in preserving the natural heritage.</p>\",\"PeriodicalId\":543,\"journal\":{\"name\":\"Environmental Management\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-11-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Management\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1007/s00267-024-02087-w\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Management","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s00267-024-02087-w","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Identification of Ecological Hotspots Using the Eco-track: Case of Keoladeo National Park, Bharatpur, India.
Ecological conservation and sustainable land management are vital endeavors in the face of rising anthropogenic pressures and habitat deterioration. Accurate and effective evaluation techniques are essential for identifying regions that are of ecological relevance and concern. The present research introduces an innovative approach using geospatial tools to detect natural hotspots and deficits within a landscape. The research incorporates six essential ecological parameters, namely spatial variability, vegetation health, road network connectivity, fragmentation, biological richness, and habitat areas, obtained from existing literature studies. These parameters indicate the overall health of ecosystems and the extent of biodiversity present, which are crucial for developing effective strategies for ecological planning. The research project aims to use geospatial applications to identify the "ecological rich", "ecological moderate" or "ecological deficit" areas in the study area and to establish a model framework for automating the geospatial analysis. The resulting map offers a comprehensive and practical depiction of the ecological condition of the landscape, facilitating decision-makers in strategically allocating resources for conservation and restoration initiatives. The importance of this research resides in its capacity to streamline and automate what was previously a time-consuming and labor-intensive procedure. This innovative approach empowers conservationists, land managers, and policymakers with a powerful tool "Eco-track' to identify and prioritize ecological hotspots and deficits, ultimately fostering more effective and targeted efforts in preserving the natural heritage.
期刊介绍:
Environmental Management offers research and opinions on use and conservation of natural resources, protection of habitats and control of hazards, spanning the field of environmental management without regard to traditional disciplinary boundaries. The journal aims to improve communication, making ideas and results from any field available to practitioners from other backgrounds. Contributions are drawn from biology, botany, chemistry, climatology, ecology, ecological economics, environmental engineering, fisheries, environmental law, forest sciences, geosciences, information science, public affairs, public health, toxicology, zoology and more.
As the principal user of nature, humanity is responsible for ensuring that its environmental impacts are benign rather than catastrophic. Environmental Management presents the work of academic researchers and professionals outside universities, including those in business, government, research establishments, and public interest groups, presenting a wide spectrum of viewpoints and approaches.