Spatial and Temporal Heterogeneity Creates a “Brown Tide” in Root Phenology and Nutrition

Spatial and temporal heterogeneity in plant phenology and nutrition benefits herbivores by prolonging the period in which they can forage on nutritious plants. Landscape heterogeneity can therefore enhance population performance of herbivores and may be a critically important feature of their habitat. The benefits of resource heterogeneity over space and time should extend not only to large herbivores using above-ground vegetation but also to omnivores that utilize below-ground resources. We used generalized linear models to evaluate whether spatial heterogeneity influenced temporal variation in the crude protein content of alpine sweetvetch (Hedysarum alpinum) roots in west-central Alberta, Canada, thereby potentially offering nutritional benefits to grizzly bears (Ursus arctos). We demonstrated that temporal patterns in the crude protein content of alpine sweetvetch roots were influenced by spatial heterogeneity in annual growing season temperatures and soil moisture and nutrients. Spatial heterogeneity and asynchrony in the protein content of alpine sweetvetch roots likely benefit grizzly bears by prolonging the period they can forage on high quality resources. Therefore, we have presented evidence of what we termed a “brown wave” or “brown tide” in the phenology and nutrition of a below-ground plant resource, which is analogous to the previously described “green wave” in above-ground resources.

[1]  F. Clark Internal Cycling of Nitrogen in Shortgrass Prairie , 1977 .

[2]  R. Drent,et al.  Balancing the energy budgets of arctic-breeding geese through- out the annual cycle: a progress report , 1978 .

[3]  S. McNaughton,et al.  Grazing as an Optimization Process: Grass-Ungulate Relationships in the Serengeti , 1979, The American Naturalist.

[4]  W. J. Mattson,et al.  Herbivory in relation to plant nitrogen content , 1980 .

[5]  T. Skogland Comparative Summer Feeding Strategies of Arctic and Alpine Rangifer , 1980 .

[6]  Grizzly bear digging sites for Hedysarum sulphurescens roots in southwestern Alberta , 1984 .

[7]  B. Buttery SOME EFFECTS OF WATERLOGGING AND SUPPLY OF COMBINED NITROGEN ON SOYBEAN GROWTH , 1987 .

[8]  D. Hamer,et al.  Grizzly Bear Food and Habitat in the Front Ranges of Banff National Park, Alberta , 1987 .

[9]  R. Ims On the Adaptive Value of Reproductive Synchrony as a Predator-Swamping Strategy , 1990, American Naturalist.

[10]  G. T. Pritchard,et al.  Digestive and metabolic efficiencies of grizzly and black bears , 1990 .

[11]  Ian D. Moore,et al.  Terrain attributes: estimation methods and scale effects , 1993 .

[12]  P. V. Soest Nutritional Ecology of the Ruminant , 1994 .

[13]  B. Mclellan,et al.  The diet of grizzly bears in the Flathead River drainage of southeastern British Columbia , 1995 .

[14]  Diversity of Rhizobia isolated from various Hedysarum species , 1996 .

[15]  A. Mysterud Seasonal migration pattern and home range of roe deer (Capreolus capreolus) in an altitudinal gradient in southern Norway , 1999 .

[16]  B. P. Farm,et al.  Spatial distribution of Serengeti wildebeest in relation to resources , 1999 .

[17]  R. B. Jackson,et al.  Phenology, Growth, and Allocation in Global Terrestrial Productivity , 2001 .

[18]  A. Mysterud,et al.  Plant phenology, migration and geographical variation in body weight of a large herbivore: the effect of a variable topography , 2001 .

[19]  J. H. Archibald,et al.  Field Guide to Ecosites of West-Central Alberta , 2002 .

[20]  Rhizobium sullae sp. nov. (formerly 'Rhizobium hedysari'), the root-nodule microsymbiont of Hedysarum coronarium L. , 2002 .

[21]  David R. Anderson,et al.  Model selection and multimodel inference : a practical information-theoretic approach , 2003 .

[22]  M. Kaneko,et al.  Benefit of migration in a female sika deer population in eastern Hokkaido, Japan , 2003, Ecological Research.

[23]  R. Ruess,et al.  Coupling fine root dynamics with ecosystem carbon cycling in black spruce forests of interior Alaska , 2003 .

[24]  M. Giovannetti,et al.  Variable effectivity of three vesicular-arbuscular mycorrhizal endophytes in Hedysarum coronarium and Medicago sativa , 1987, Biology and Fertility of Soils.

[25]  Just Cebrian,et al.  PATTERNS OF HERBIVORY AND DECOMPOSITION IN AQUATIC AND TERRESTRIAL ECOSYSTEMS , 2004 .

[26]  Gordon B. Stenhouse,et al.  Grizzly bears and forestry II. Distribution of grizzly bear foods in clearcuts of west-central Alberta, Canada , 2004 .

[27]  G. Stenhouse,et al.  Grizzly bears and forestry I: Selection of clearcuts by grizzly bears in west-central Alberta, Canada , 2004 .

[28]  Robin I. M. Dunbar,et al.  Climatic determinants of diet and foraging behaviour in baboons , 2004, Evolutionary Ecology.

[29]  Charles M. Francis,et al.  The influence of climate on the timing and rate of spring bird migration , 2004, Oecologia.

[30]  J. Herrero,et al.  Fruits and roots: Wild boar foods during the cold season in the southwestern Pyrenees , 2005 .

[31]  S. Franklin,et al.  Remote sensing for large-area habitat mapping , 2005 .

[32]  Robert D. Holt,et al.  Landscape scale, heterogeneity, and the viability of Serengeti grazers , 2005 .

[33]  K. Izawa,et al.  Digging and eating of underground plant-parts by wild Japanese monkeys (Macaca fuscata) , 1990, Primates.

[34]  G. Stenhouse,et al.  SEASONAL AND DIEL PATTERNS OF GRIZZLY BEAR DIET AND ACTIVITY IN WEST-CENTRAL ALBERTA , 2006 .

[35]  A. Hofgaard,et al.  Nutrient dynamics of reindeer forage species along snowmelt gradients at different ecological scales , 2006 .

[36]  J. Hopcraft,et al.  Serengeti wildebeest migratory patterns modeled from rainfall and new vegetation growth. , 2006, Ecology.

[37]  J. Bakker,et al.  Surfing on a green wave - how plant growth drives spring migration in the Barnacle Goose Branta leucopsis , 2006 .

[38]  Tony Fox,et al.  Diet and habitat use of Svalbard Pink-footed Geese Anser brachyrhynchus during arrival and pre-breeding periods in Adventdalen , 2006 .

[39]  Iain J Gordon,et al.  Spatial and temporal variability modify density dependence in populations of large herbivores. , 2006, Ecology.

[40]  Mark Hebblewhite,et al.  Modelling wildlife–human relationships for social species with mixed‐effects resource selection models , 2007 .

[41]  Nathalie Pettorelli,et al.  Early onset of vegetation growth vs. rapid green-up: impacts on juvenile mountain ungulates. , 2007, Ecology.

[42]  N. T. Hobbs,et al.  Density dependence in northern ungulates: interactions with predation and resources , 2008, Population Ecology.

[43]  Silke Bauer,et al.  What decision rules might pink-footed geese use to depart on migration? An individual-based model , 2009 .

[44]  How does Landscape Heterogeneity Shape Dynamics of Large Herbivore Populations , 2010 .

[45]  G. McDermid,et al.  Dynamic wildlife habitat models: Seasonal foods and mortality risk predict occupancy-abundance and habitat selection in grizzly bears , 2010 .

[46]  K. Searle,et al.  Asynchrony, fragmentation, and scale determine benefits of landscape heterogeneity to mobile herbivores , 2010, Oecologia.

[47]  Thomas Hilker,et al.  Using digital time-lapse cameras to monitor species-specific understorey and overstorey phenology in support of wildlife habitat assessment , 2011, Environmental monitoring and assessment.