Prediction of stream fish assemblages from land use characteristics: implications for cost-effective design of monitoring programmes

Kristensen, Esben Astrup; Baattrup‐Pedersen, Annette; Andersen, Hans Estrup

doi:10.1007/s10661-011-2052-4

Cited by 18 publications

(9 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, species richness, representing the combined occurrence of many species, has been used to prioritize sites (Hortal et al 2007). Other initiatives focus on bioassessment, monitoring, and conservation at the community-level, representing the combined abundance of many species (Ducks Unlimited Canada 2010, Kristensen et al 2012). Community-level SDMs and SAMs can be built for groups of species to yield species richness or total abundance, effectively synthesizing individual species data into the information necessary for community-level decisions (Ferrier et al 2002, Ferrier and.…”

Section: Introductionmentioning

confidence: 99%

Modeling distribution and abundance of multiple species: Different pooling strategies produce similar results

et al. 2014

View full text Add to dashboard Cite

Abstract. Quantifications of spatial distribution and abundance of animals are essential to identifying key landscape characteristics and targeting locations for conservation action. Since conservation decisions often focus on multiple species aggregated in groups, e.g., guild-level, rather than individual species, predictions of species group abundance are of central importance. However, areas chosen for conservation action may differ if results from various modeling strategies also differ. Therefore, we compared three different strategies for modeling species group distribution and abundance: predict first, assemble later (PA); assemble first, predict later (AP); and the combined assemble, predict, then assemble (APA). All strategies were performed using Boosted Regression Trees (BRTs), which were fit to individual species data and then grouped after modeling, or fit to datasets that were grouped before modeling. Modeling strategies produced very similar results in terms of statistical performance assessed through four evaluation metrics and in spatial patterns in predicted abundance. To further assess potential functional implications of any numeric differences to conservation planning, we examined the relative proportion of the predicted population within existing Canadian protected areas. This metric further confirmed similarity in predictions from the three modeling strategies. Our results suggest that locations targeted for conservation action would be highly consistent among modeling strategies. Slight differences we observed in spatial predictions may be due to data coverage across species ranges, data quality, and the flexibility of the BRTs.

show abstract

Section: Introductionmentioning

confidence: 99%

Modeling distribution and abundance of multiple species: Different pooling strategies produce similar results

et al. 2014

View full text Add to dashboard Cite

show abstract

“…; Dauwalter and Rahel ; Hopkins and Burr ; McKenna and Johnson ; Kristensen et al. ; Sindt et al. ; Filipe et al.…”

Section: Introductionmentioning

confidence: 99%

“…Although in-stream habitat variables cannot be included in this type of modeling, landscape variables can be extracted at multiple scales to allow for inclusion of local and accumulative upstream conditions. Several recent studies have demonstrated the efficacy of predicting freshwater fish distributions from GIS-derived landscape variables (Steen et al 2006(Steen et al , 2008Brewer et al 2007;Dauwalter and Rahel 2008;Hopkins and Burr 2009;McKenna and Johnson 2011;Kristensen et al 2012;Sindt et al 2012;Filipe et al 2013;Maloney et al 2013;McKenna et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Predicting fine‐scale distributions of peripheral aquatic species in headwater streams

DeRolph

Nelson

Kwak

et al. 2014

Ecology and Evolution

View full text Add to dashboard Cite

Headwater species and peripheral populations that occupy habitat at the edge of a species range may hold an increased conservation value to managers due to their potential to maximize intraspecies diversity and species' adaptive capabilities in the context of rapid environmental change. The southern Appalachian Mountains are the southern extent of the geographic range of native Salvelinus fontinalis and naturalized Oncorhynchus mykiss and Salmo trutta in eastern North America. We predicted distributions of these peripheral, headwater wild trout populations at a fine scale to serve as a planning and management tool for resource managers to maximize resistance and resilience of these populations in the face of anthropogenic stressors. We developed correlative logistic regression models to predict occurrence of brook trout, rainbow trout, and brown trout for every interconfluence stream reach in the study area. A stream network was generated to capture a more consistent representation of headwater streams. Each of the final models had four significant metrics in common: stream order, fragmentation, precipitation, and land cover. Strahler stream order was found to be the most influential variable in two of the three final models and the second most influential variable in the other model. Greater than 70% presence accuracy was achieved for all three models. The underrepresentation of headwater streams in commonly used hydrography datasets is an important consideration that warrants close examination when forecasting headwater species distributions and range estimates. Additionally, it appears that a relative watershed position metric (e.g., stream order) is an important surrogate variable (even when elevation is included) for biotic interactions across the landscape in areas where headwater species distributions are influenced by topographical gradients.

show abstract

“…Therefore, cost‐effective tools are required for assessing and indicating ecosystem functioning as well as the effects of human activities upon it (de Groot et al . ; Kristensen, Baattrup‐Pedersen & Andersen ).…”

Section: Introductionmentioning

confidence: 99%

“…It is currently believed that certain types of community elements are needed to maintain the functioning and stability of ecosystems which are also linked to ecosystem services such as the provision of food, clean water and nutrient cycling. Therefore, cost-effective tools are required for assessing and indicating ecosystem functioning as well as the effects of human activities upon it (de Groot et al 2010;Kristensen, Baattrup-Pedersen & Andersen 2012).…”

Section: Introductionmentioning

confidence: 99%

Functional traits of marine macrophytes predict primary production

et al. 2016

View full text Add to dashboard Cite

Summary The relationship between community structure and the functioning of ecosystems is the subject of ongoing debate. Biological or functional trait‐based approaches that capture life strategy, morphology and behavioural characteristics have received far less attention than taxonomic diversity in this context, despite their more intuitive link to ecosystem functioning. Macrophyte primary production underpins aquatic food webs, regulates benthic and pelagic ecosystems and is a key aspect of the global carbon cycle. This study spans a range of aquatic biomes across Europe and aims to examine potential for predicting primary production of macrophyte communities based on the functional traits of species and identify the traits that are the most informative indicators of macrophyte production. Macrophyte primary production was assessed based on the oxygen production of the whole community, linked to biomasses of selected biological traits derived of its component species and analysed using the novel boosted regression trees modelling technique. Results showed that functional traits derived from macrophyte community data explained most of the variation in primary production of macrophyte communities without the need to incorporate environmental data on the habitats. Macrophyte primary production was influenced by a combination of tolerance, morphology and life habit traits; however tolerance traits contributed most of variability in macrophyte primary production when all traits were analysed jointly. This study also showed the existence of trait clustering as the studied trait categories were not fully independent; strong interlinkages between and within trait categories emerged. Our study suggests that functional trait analysis captures different aspects of ecosystem functioning and thereby enables assessing primary production of macrophyte communities over geographically distinct areas without extensive taxonomic and environmental data. This could result in a novel framework through which a simplification of the general procedure of production estimations and comparisons across environmental gradients can be achieved. A http://onlinelibrary.wiley.com/doi/10.1111/1365-2435.12798/suppinfo is available for this article.

show abstract

Prediction of stream fish assemblages from land use characteristics: implications for cost-effective design of monitoring programmes

Cited by 18 publications

References 48 publications

Modeling distribution and abundance of multiple species: Different pooling strategies produce similar results

Modeling distribution and abundance of multiple species: Different pooling strategies produce similar results

Predicting fine‐scale distributions of peripheral aquatic species in headwater streams

Functional traits of marine macrophytes predict primary production

Contact Info

Product

Resources

About