کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6293304 1617133 2016 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Incorporating natural variability in the bioassessment of stream condition in the Atlantic Forest biome, Brazil
ترجمه فارسی عنوان
گنجاندن تغییرات طبیعی در ارزیابی بیولوژیکی وضعیت جریان در بیوم زیستگاه اقیانوس اطلس، برزیل
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
چکیده انگلیسی
Most bioassessment programs in Brazil face difficulties when scaling up from small spatial scales because larger scales usually encompass great environmental variability. Covariance of anthropogenic pressures with natural environmental gradients can be a confounding factor in the evaluation of biologic responses to anthropogenic pressures. The objective of this study was to develop a multimetric index (MMI) with macroinvertebrates for two stream types and two ecoregions in the Atlantic Forest biome in Rio de Janeiro state, Brazil. We hypothesized that by using two approaches - (1) testing and adjusting metrics to landscape parameters, and (2) selecting metrics using a cluster analysis to avoid metrics redundancy - the final MMI would perform better than the traditional approach (unadjusted metrics, one metric representing each category). Four MMIs were thus developed: MMI-1 - adjusted MMI with metrics selected after cluster analysis); MMI-2 - adjusted MMI with one metric from each category; MMI-3 - unadjusted MMI with metrics selected after cluster analysis; MMI-4 - unadjusted MMI with one metric from each category. We used three decision criteria to assess MMI's performance: precision, responsiveness and sensitivity. In addition, we tested the MMI's by using an independent set of sites to validate the results. Although all MMIs performed well in the three criteria, adjusting metrics to natural variation increased MMI response and sensitivity to impairment. In addition, the selected MMI-2 was able to classify sites of two stream types and two ecoregions. The use of cluster analysis, however, did not avoid high redundancy between metrics of different branches. The MMI-4 had the poorest performance among all tested MMIs and it was not able to distinguish adequately reference and impaired sites from both ecoregions. We present some considerations on the use of metrics and on the development of MMI's in Brazil and elsewhere.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ecological Indicators - Volume 69, October 2016, Pages 606-616
نویسندگان
, , , , ,