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DatoValore
TitleUnique and shared effects of local and catchment predictors over distribution of hyporheic organisms: does the valley rule the stream?
AbstractUnderstanding and predicting the geographic distribution of taxa in hierarchical stream landscapes is a cornerstone of river ecology. A central issue is to tease apart the unique and shared effects of local and catchment predictors over species distributions. Here, we tested Hynes's influential hypothesis (1975, Baldi Memorial Lecture) that 'In every respect, the valley rules the stream'. We predicted that if catchment features exert a major control on in-stream local conditions, the shared effect of local and catchment predictors should largely surpass their unique effects. To test this prediction, we used logistic regression models and variation partitioning to quantify the unique and shared effects of local and catchment predictors on the distribution of two hyporheic crustacean taxa (Bogidiellidae, Amphipoda and Anthuridae, Isopoda) in streams of New Caledonia. We sampled the two taxa at 228 sites. At each site, we quantified nine local predictors related to habitat area and stability, sediment metabolism and water origin, and eight catchment predictors related to geology, area, primary productivity, land use and specific discharge. When analyzed separately, the two predictor types explained the same amount of model variation in occurrence in both taxa. When analyzed jointly, the shared effects of the two predictor types explained twice as much model variation as the unique effect of each. The overriding contribution of shared effects was notably due to controls exerted by catchment area and geology on local habitat size and sediment metabolism, respectively. For both taxa, a model with only these two catchment predictors provided occurrence distribution as reliable as models containing only local predictors or both predictor types. Our findings pave the way for predicting reliably from catchment predictors alone the geographic distribution in local occurrence of taxa in difficult-to-access habitats and landscapes, such as here the hyporheic zone of tropical streams.
SourceEcography (Cop.), pp. 1–14
Keywordshierarchical partitioninghyporheic zoneNew Caledoniariver landscapespatial scalespecies distribution modelsubterranean crustaceans
JournalEcography (Cop.)
EditorBlackwell, Oxford, Regno Unito
Year2022
TypeArticolo in rivista
DOI10.1111/ecog.06099
AuthorsMouron, Samuel; Eme, David; Bellec, Arnaud; Bertrand, Melanie; Mammola, Stefano; Liebault, Frederic; Douady, Christophe J.; Malard, Florian
Text466063 2022 10.1111/ecog.06099 ISI Web of Science WOS 000765756400001 hierarchical partitioning hyporheic zone New Caledonia river landscape spatial scale species distribution model subterranean crustaceans Unique and shared effects of local and catchment predictors over distribution of hyporheic organisms does the valley rule the stream Mouron, Samuel; Eme, David; Bellec, Arnaud; Bertrand, Melanie; Mammola, Stefano; Liebault, Frederic; Douady, Christophe J.; Malard, Florian Univ Lyon; IFREMER; Natl Res Inst Agr Food Environm INRAE; Univ Lyon; Univ Helsinki; Natl Res Council Italy CNR; Univ Grenoble Alpes Understanding and predicting the geographic distribution of taxa in hierarchical stream landscapes is a cornerstone of river ecology. A central issue is to tease apart the unique and shared effects of local and catchment predictors over species distributions. Here, we tested Hynes s influential hypothesis 1975, Baldi Memorial Lecture that In every respect, the valley rules the stream . We predicted that if catchment features exert a major control on in stream local conditions, the shared effect of local and catchment predictors should largely surpass their unique effects. To test this prediction, we used logistic regression models and variation partitioning to quantify the unique and shared effects of local and catchment predictors on the distribution of two hyporheic crustacean taxa Bogidiellidae, Amphipoda and Anthuridae, Isopoda in streams of New Caledonia. We sampled the two taxa at 228 sites. At each site, we quantified nine local predictors related to habitat area and stability, sediment metabolism and water origin, and eight catchment predictors related to geology, area, primary productivity, land use and specific discharge. When analyzed separately, the two predictor types explained the same amount of model variation in occurrence in both taxa. When analyzed jointly, the shared effects of the two predictor types explained twice as much model variation as the unique effect of each. The overriding contribution of shared effects was notably due to controls exerted by catchment area and geology on local habitat size and sediment metabolism, respectively. For both taxa, a model with only these two catchment predictors provided occurrence distribution as reliable as models containing only local predictors or both predictor types. Our findings pave the way for predicting reliably from catchment predictors alone the geographic distribution in local occurrence of taxa in difficult to access habitats and landscapes, such as here the hyporheic zone of tropical streams. Published version Published version 2022_MOURON ET AL Ecography.pdf Articolo in rivista Blackwell 0906 7590 Ecography Cop. Ecography Cop. Ecography Cop. Ecography. Cop. stefano.mammola MAMMOLA STEFANO