Predicting environmental gradients with fern species composition in Brazilian Amazonia

Abstract

Aim A major problem for conservation in Amazonia is that species distribution maps are inaccurate. Consequently, conservation planning needs to be based on other information sources such as vegetation and soil maps, which are also inaccurate. We propose and test the use of biotic data on a common and relatively easily inventoried group of plants to infer environmental conditions that can be used to improve maps of floristic patterns for plants in general. Location Brazilian Amazonia. Methods We sampled 326 plots of 250 m × 2 m separated by distances of 1–1800 km. Terrestrial fern individuals were identified and counted. Edaphic data were obtained from soil samples and analysed for cation concentration and texture. Climatic data were obtained from Worldclim. We used a multivariate regression tree to evaluate the hierarchical importance of soils and climate for fern communities and identified significant indicator species for the resultant classification. We then tested how well the edaphic properties of the plots could be predicted on the basis of their floristic composition using two calibration methods, weighted averaging and k‐nearest neighbour estimation. Results Soil cation concentration emerged as the most important variable in the regression tree, whereas soil textural and climatic variation played secondary roles. Almost all the plot classes had several fern species with high indicator values for that class. Soil cation concentration was also the variable most accurately predicted on the basis of fern community composition (R2 = 0.65–0.75 for log‐transformed data). Predictive accuracy varied little among the calibration methods, and was not improved by the use of abundance data instead of presence–absence data. Conclusions Fern species composition can be used as an indicator of soil cation concentration, which can be expected to be relevant also for other components of rain forests. Presence–absence data are adequate for this purpose, which makes the collecting of additional data potentially very rapid. Comparison with earlier studies suggests that edaphic preferences of fern species have good transferability across geographical regions within lowland Amazonia. Therefore, species and environmental data sets already available in the Amazon region represent a good starting point for generating better environmental and floristic maps for conservation planning.

Discovering floristic and geoecological gradients across Amazonia

“…It is likely that if other important soil properties could be included, such as phosphorus and nitrogen concentration or hydrology, the percentage of variation explained by soils would be even higher. This considerably expands the conclusions from earlier studies that have documented soils to be important for plant species turnover at regional extents in Amazonia (Baldeck et al, ; Cámara‐Leret, Tuomisto, Ruokolainen, Balslev, & Munch Kristiansen, ; Higgins et al, ; Pansonato et al, ; Phillips et al, ; Ruokolainen et al, ; Tuomisto, Poulsen, et al, ; Tuomisto, Ruokolainen, Aguilar, et al, ; Tuomisto, Ruokolainen, & Yli‐Halla, ; Zuquim et al, , ).…”

“…All analyses were carried out using logarithmically transformed values (logCat). This variable was chosen because earlier studies have found its relationship with plant species composition and changes therein to be consistently strong, even when the relationships with the individual cations have varied among regions (Higgins et al, ; Ruokolainen et al, ; Tuomisto et al, ; Tuomisto, Poulsen, et al, ; Zuquim et al, ).…”

Modelling responses of western Amazonian palms to soil nutrients

“…), predicting environmental conditions on the basis of floristic inventories (Sirén, Tuomisto & Navarrete ) and generating better floristic maps for conservation planning (Zuquim et al . ).…”

Relationships between Plant Biodiversity and Soil Fertility in a Mature Tropical Forest, Costa Rica

“…Therefore, the herb community may be able to grow taller in soil with higher P content and soil fertility leading to higher herb structural richness. Zuquim et al [49] demonstrated that fern community composition was a good indicator of soil cation concentration. Here, we suggest that herb structural richness may be a good indicator of soil fertility.…”