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首页> 外文期刊>Ecological Applications >IDENTIFYING CONSERVATION PRIORITIES IN MEXICO THROUGH GEOGRAPHIC INFORMATION SYSTEMS AND MODELING
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IDENTIFYING CONSERVATION PRIORITIES IN MEXICO THROUGH GEOGRAPHIC INFORMATION SYSTEMS AND MODELING

机译：通过地理信息系统识别墨西哥的保护优先权并进行建模

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Environmental assessments of regional development projects have been used in Mexico to determine where conflicts between conservation of biodiversity and resource extraction are likely to occur. Species-rich areas have been acknowledged as a priority for conservation. However, biological information is incomplete and biased toward accessible sites, so species-rich areas cannot be depicted directly from current biological knowledge. An alternative approach to predicting species-rich areas is presented in this article. It is based on the gap analysis technique and involves the use of ordination analysis and generalized linear models integrated with a geographic information system. This approach was used for locating species-rich areas in the Mexican states of Guerrero and Oaxaca, where a regional forestry development project was proposed. Baseline information consisted of gee-referenced collection sites of terrestrial vertebrates. Thirty-two species assemblages were identified by the ordination analysis, as well as by 25 generalized linear models. Validation of six of these models showed no significant differences between observed and predicted species frequencies. Results demonstrated that species-rich areas could be depicted even under the constraints of environmental assessment in Mexico. A large number of species could be used in this analysis due to the minimal information required for each species record. This predictive approach optimized available biological information for the integration of conservation into regional development planning. [References: 68]
机译：墨西哥已使用区域发展项目的环境评估来确定生物多样性保护与资源开采之间可能发生冲突的地方。物种丰富的地区已被公认为保护的重点。但是，生物信息不完整且偏向可访问的地点，因此无法直接从当前的生物知识中描绘出物种丰富的地区。本文介绍了一种预测物种丰富区域的替代方法。它基于差距分析技术，涉及使用排序分析和与地理信息系统集成的广义线性模型。该方法用于在墨西哥的格雷罗州和瓦哈卡州确定物种丰富的地区，在那里提议了一项区域林业发展项目。基线信息包括以gee为参考的陆生脊椎动物的收集地点。通过排序分析和25个广义线性模型确定了32种物种组合。这些模型中的六个模型的验证表明，观察到的物种频率与预测的物种频率之间没有显着差异。结果表明，即使在墨西哥进行环境评估的限制下，也可以描绘出物种丰富的地区。由于每个物种记录所需的信息最少，因此可以在该分析中使用大量物种。这种预测方法优化了可利用的生物信息，以将保护纳入区域发展规划。 [参考：68]

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