遥感在生态研究中的意义——从像素到保护

IF 1.1 4区 环境科学与生态学 Q4 ECOLOGY
Luca Luiselli, Nic Pacini
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引用次数: 0

摘要

分析技术的进步和创新遥感工具的发展大大拓宽了生态研究的范围。这些进步使人们在了解研究区域的地理方面取得了显著进展,GPS技术带来的地面真实能力彻底改变了精确空间数据的生成,如生物位置。通过将空间数据与建模联系起来,研究人员现在可以深入了解物种与环境的关系。这为保护策略和资源管理提供了信息。最近的技术创新,包括高分辨率卫星,提供了详细的空间和时间信息。这些技术的快速发展为世界各地的生态研究和生物多样性保护提供了变革性的机会。此外,通过基于现场的光谱数据、无人机(uav)和手持式全球定位系统(GPS)进行校准,确保了信号的准确性,谷歌地球引擎等综合平台简化了数据解释。然而,整合来自这些不同系统的证据带来了持续的挑战,需要方法的准确性和对其生态相关性的明确关注。《非洲生态学杂志》(AJE)越来越多地介绍了利用遥感技术的研究,其应用范围涵盖了土地利用变化检测、栖息地调查、植被生物量评估、水资源监测和物种分布等方面的研究。遥感与实地方法和生态目标的结合促进了强有力的分析,使研究人员能够超越简单的土地覆盖评估,解决功能性生态问题。谷歌Earth Engine等集成平台简化了多源数据解释,简化了工作流程并提高了可访问性。拉丁短语“死亡警告”应该提醒我们,技术虽然是生态研究的有力辅助,但并不是一切——它应该支持和加强生态研究,而不是定义或掩盖它。AJE渴望促进这种反思思维,在创新和生态相关性之间建立平衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Remote Sensing That Makes Sense in Ecological Research—From Pixels to Conservation

Remote Sensing That Makes Sense in Ecological Research—From Pixels to Conservation

Advances in analytical techniques and the development of innovative remote sensing tools have greatly broadened the scope of ecological research. These advancements have led to notable progress in understanding the geography of study areas, with ground-truthing capabilities enabled by GPS technologies revolutionising the generation of precise spatial data, such as organism locations. By linking spatial data with modelling, researchers can now gain insights into species-environment relationships. This informs conservation strategies and resource management. Recent technological innovations, including as high-resolution satellites provide detailed spatial and temporal information. The rapid growth of these technologies presents transformative opportunities for ecological research and biodiversity conservation anywhere in the world. Moreover, calibration via field-based spectral data, unmanned aerial vehicles (UAVs), and handheld global positioning systems (GPS) ensures signal accuracy and integrative platforms, like Google Earth Engine, streamline data interpretation. However, integrating evidence from these diverse systems presents ongoing challenges, requiring methodological precision and a clear focus on their ecological relevance. The African Journal of Ecology (AJE) has increasingly featured studies using remote sensing, with applications spanning studies focusing on land-use change detection, habitat surveys, vegetation biomass assessment, water resource monitoring, and species distribution. Combining remote sensing with field methods and ecological objectives fosters robust analysis, enabling researchers to move beyond simple land cover assessments to tackle functional ecological questions. Integrative platforms like Google Earth Engine simplify multi-source data interpretation, streamlining workflows and increasing accessibility. The Latin phrase ‘Memento mori’ should serve as a reminder that technology, while a powerful aid in ecological research, is not everything—it should serve to support and enhance ecological inquiry, not define or overshadow it. The AJE aspires to promote such reflective thinking, fostering a balance between innovation and ecological relevance.

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来源期刊
African Journal of Ecology
African Journal of Ecology 环境科学-生态学
CiteScore
2.00
自引率
10.00%
发文量
134
审稿时长
18-36 weeks
期刊介绍: African Journal of Ecology (formerly East African Wildlife Journal) publishes original scientific research into the ecology and conservation of the animals and plants of Africa. It has a wide circulation both within and outside Africa and is the foremost research journal on the ecology of the continent. In addition to original articles, the Journal publishes comprehensive reviews on topical subjects and brief communications of preliminary results.
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