Dias-Silva Karina, Vieira Thiago Bernardi, de Matos Talissa Pio, Juen Leandro, Simião-Ferreira Juliana, Hughes Robert M, De Marco Júnior Paulo
Programa de Pós-graduação em Ecologia - Universidade Federal do Pará/Embrapa, Instituto de Ciências Biológicas, Belém, PA, Brazil; Programa Pós-graduação em Biodiversidade e Conservação - Universidade Federal do Pará-UFPA, Altamira, PA, Brazil.
Programa Pós-graduação em Biodiversidade e Conservação - Universidade Federal do Pará-UFPA, Altamira, PA, Brazil.
Sci Total Environ. 2021 Sep 20;788:147617. doi: 10.1016/j.scitotenv.2021.147617. Epub 2021 May 8.
The ongoing encroachment of agricultural activities into natural areas is a growing problem for the ecological condition of streams. Stream ecological condition is best measured using both biotic and abiotic parameters that reflect different channel, riparian zone and catchment aspects. Multiple physical-chemical measures of water quality have long been widely used to represent the environmental conditions of water bodies. More recently, physical habitat structure, catchment land use and land cover have been employed to better understand water body conditions. Both water quality and physical habitat structure metrics are usually measured in the field and often have strong predictive power to analyze biological assemblage conditions. On the other hand, remote sensing of catchment land use and land cover provide relatively low-cost environmental information at large spatial extents, minimizing the need for fieldwork and reducing analytical time. Given these considerations, our aim in the present study was to evaluate the degree to which stream environmental conditions could be measured reliably via remote sensing. In particular, we assessed whether a remote sensing index (Normalized Difference Vegetation Index) and land use can be used as reliable surrogates for site habitat condition, channel dimensions, and water quality. We found that our remote sensing variables were not sufficient for predicting stream water quality or habitat structure. Therefore, we recommend using remote sensing indicators only when it is impossible to measure water quality and habitat structure in the field directly.
农业活动持续向自然区域扩张，这对溪流的生态状况而言是一个日益严重的问题。衡量溪流生态状况的最佳方法是同时使用反映不同河道、河岸带和集水区特征的生物和非生物参数。长期以来，多种水质物理化学测量方法被广泛用于表征水体的环境状况。最近，物理栖息地结构、集水区土地利用和土地覆盖情况也被用于更好地了解水体状况。水质和物理栖息地结构指标通常在实地测量，并且在分析生物群落状况方面往往具有很强的预测能力。另一方面，集水区土地利用和土地覆盖的遥感技术能在大空间范围内提供成本相对较低的环境信息，最大限度地减少实地调查的需求并缩短分析时间。考虑到这些因素，我们在本研究中的目的是评估通过遥感技术能够可靠测量溪流环境状况的程度。具体而言，我们评估了遥感指数（归一化植被指数）和土地利用是否可以作为场地栖息地状况、河道尺寸和水质的可靠替代指标。我们发现，我们的遥感变量不足以预测溪流水质或栖息地结构。因此，我们建议仅在无法直接在实地测量水质和栖息地结构时使用遥感指标。
