What acceleration data from wildlife collars and animal body mass tell us about seed dispersal
Tóm tắt
The seeds of many plant species can be dispersed over long distances in animal fur (epizoochory). Quantifying epizoochory in the wild is, however, challenging, since it is difficult to measure the retention times of seeds in fur. These retention times depend on the acceleration that seeds experience and that can detach seeds from fur. Wildlife collars containing accelerometers may thus provide crucial information on epizoochorous seed dispersal. However, this is only the case if acceleration of the animal’s neck (where collars are attached) is informative of acceleration of the animal’s main body (where most seeds are transported). We used accelerometers to simultaneously measure acceleration at the neck, breast and the upper hind leg of 40 individuals of eight mammal species spanning a large range of body masses (26–867 kg). We then quantified maximum acceleration as the 95%-quantile of the resultant acceleration (of all measured values in data intervals of 5 s). Maximum acceleration was comparable between the neck and breast but substantially higher at the hind leg. Maximum acceleration measured by neck collars and body mass jointly explained 81% of the variance in maximum acceleration of the breast and 62% of the variance in maximum acceleration of the leg. Acceleration measured by neck collars is informative of the acceleration experienced by seeds attached to other body parts (breast and leg). When combined with animal movement data and lab measurements of how fur acceleration affects seed release and retention times, widely used collar accelerometers can thus be used to assess distances of epizoochorous seed dispersal.
Tài liệu tham khảo
Albert A, Mårell A, Picard M, Baltzinger C. Using basic plant traits to predict ungulate seed dispersal potential. Ecography. 2015. https://doi.org/10.1111/ecog.00709.
Bates D, Machler M, Bolker B, Walker S. Fitting linear mixed-effects models using lme4. J Stat Softw. 2015. https://doi.org/10.18637/jss.v067.i01
Benthien O, Bober J, Castens J, Stolter C. Seed dispersal capacity of sheep and goats in a near-coastal dry grassland habitat. Basic Appl Ecol. 2016. https://doi.org/10.1016/j.baae.2016.03.006.
Brown DD, Kays R, Wikelski M, Wilson R, Klimley AP. Observing the unwatchable through acceleration logging of animal behavior. Animal Biotelem. 2013. https://doi.org/10.1186/2050-3385-1-20.
Brown JH, Gillooly JF, Allen AP, Savage VM, West GB. Toward a metabolic theory of ecology. Ecology. 2004. https://doi.org/10.1890/03-9000.
Cagnacci F, Boitani L, Powell RA, Boyce MS. Animal ecology meets GPS-based radiotelemetry: a perfect storm of opportunities and challenges. Phil Trans Royal Soc B Biol Sci. 2010. https://doi.org/10.1098/rstb.2010.0107.
Calder WA. Size function, and life history. Cambridge: Harvard University Press; 1984.
Chakravarty P, Cozzi G, Ozgul A, Aminian K. A novel biomechanical approach for animal behaviour recognition using accelerometers. Methods Ecol Evol. 2019. https://doi.org/10.1111/2041-210X.13172.
Cloyed CS, Grady JM, Savage VM, Uyeda JC, Dell AI. The allometry of locomotion. Ecology. 2021. https://doi.org/10.1002/ecy.3369.
Couvreur M, Couvreur M, Vandenberghe B, Verheyen K, Hermy M. An experimental assessment of seed adhesivity on animal furs. 2004. Seed Sci Res. https://doi.org/10.1079/SSR2004164.
De Pablos I, Peco B. Diaspore morphology and the potential for attachment to animal coats in Mediterranean species: an experiment with sheep and cattle coats. Seed Sci Res. 2007. https://doi.org/10.1017/S0960258507708097.
Farwig N, Berens DG. Imagine a world without seed dispersers: a review of threats, consequences and future directions. Basic Appl Ecol. 2012. https://doi.org/10.1016/j.baae.2012.02.006.
Fischer SF, Poschlod P, Beinlich B. Experimental studies on the dispersal of plants and animals on sheep in calcareous grasslands. J Appl Ecol. 1996. https://doi.org/10.2307/2404699.
Fricke EC, Ordonez A, Rogers HS, Svenning J-C. The effects of defaunation on plants’ capacity to track climate change. Science. 2022. https://doi.org/10.1126/science.abk3510.
Gleiss AC, Wilson RP, Shepard ELC. Making overall dynamic body acceleration work: on the theory of acceleration as a proxy for energy expenditure. Method Ecol Evol. 2011. https://doi.org/10.1111/j.2041-210X.2010.00057.x.
González-Varo JP, Carvalho CS, Arroyo JM, Jordano P. Unravelling seed dispersal through fragmented landscapes: Frugivore species operate unevenly as mobile links. Mol Ecol. 2017. https://doi.org/10.1111/mec.14181.
Gorb E, Gorb S. Contact separation force of the fruit burrs in four plant species adapted to dispersal by mechanical interlocking. Plant Physiol Biochem. 2002. https://doi.org/10.1016/S0981-9428(02)01381-5.
Gurarie E, Fleming CH, Fagan WF, Laidre KL, Hernández-Pliego J, Ovaskainen O. Correlated velocity models as a fundamental unit of animal movement synthesis and applications. Mov Ecol. 2017. https://doi.org/10.1186/s40462-017-0103-3.
Hallworth MT, Marra PP. Miniaturized GPS tags identify non-breeding territories of a small breeding migratory songbird. Nature Sci Rep. 2015. https://doi.org/10.1038/srep11069.
Heinken T, Hanspach H, Raudnitschka D, Schaumann F. Dispersal of vascular plants by four species of wild mammals in a deciduous forest in NE Germany. Phytocoenologia. 2002. https://doi.org/10.1127/0340-269X/2002/0032-0627.
Hampton SE, Strasser CA, Tewksbury JJ, Gram WK, Budden AE, Batcheller AL, Duke CS, Porter JH. Big data and the future of ecology. Front Ecol Environ. 2013. https://doi.org/10.1890/120103.
Howe HF, Smallwood J. Ecology of seed dispersal. Ann Rev Ecol Evol Syst. 1982. https://doi.org/10.1146/annurev.es.13.110182.001221.
Kampowski T, Schuler B, Speck T, Poppinga S. The effects of substrate porosity, mechanical substrate properties and loading conditions on the attachment performance of the mediterranean medicinal leech (Hirudo verbana). J Royal Soc Interface. 2022. https://doi.org/10.1098/rsif.2022.0068.
Kilbourne BM, Hoffman LC. Scale Effects between body size and limb design in quadrupedal mammals. PLoS ONE. 2013. https://doi.org/10.1371/journal.pone.0078392.
Kröschel M, Reineking B, Werwie F, Wildi F, Storch I. Remote monitoring of vigilance behavior in large herbivores using acceleration data. Animal Biotelemetry. 2017. https://doi.org/10.1186/s40317-017-0125-z.
Lepková B, Horčičková E, Vojta J. Endozoochorous seed dispersal by free-ranging herbivores in an abandoned landscape. Plant Ecol. 2018. https://doi.org/10.1007/s11258-018-0864-9.
Liehrmann O, Jégoux F, Guilbert MA, Isselin-Nondedeu F, Saïd S, Locatelli Y, Baltzinger C. Epizoochorous dispersal by ungulates depends on fur, grooming and social interactions. Ecol Evol. 2018. https://doi.org/10.1002/ece3.3768.
Mohamed Thangal SN, Donelan JM. Scaling of inertial delays in terrestrial mammals. PLoS ONE. 2020. https://doi.org/10.1371/journal.pone.0217188.
Mouissie AM, Lengkeek W, Van Diggelen R. Estimating adhesive seed-dispersal distances: field experiments and correlated random walks. Funct Ecol. 2005. https://doi.org/10.1111/j.1365-2435.2005.00992.x.
Nathan R, Schurr FM, Spiegel O, Steinitz O, Trakhtenbrot A, Tsoar A. Mechanisms of long-distance seed dispersal. Trends Ecol Evol. 2008. https://doi.org/10.1016/j.tree.2008.08.003.
Nilsson A, Lundqvist L. Host selection and movements of Ixodes Ricinus (Acari) larvae on small mammals. Oikos. 1978. https://doi.org/10.2307/3543656.
Petersen TK, Bruun HH. Can plant traits predict seed dispersal probability via red deer guts, fur, and hooves. Ecol Evol. 2019. https://doi.org/10.1002/ece3.5512.
R Development Core Team. R. A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2008.
Rast W, Kimmig SE, Giese L, Berger A. Machine learning goes wild: using data from captive individuals to infer wildlife behaviours. PLoS ONE. 2020. https://doi.org/10.1371/journal.pone.0227317.
Römermann C, Tackenberg O, Poschlod P. How to predict attachment of seeds to sheep and cattle potential from simple morphological seed traits. Oikos. 2005. https://doi.org/10.1111/j.0030-1299.2005.13911.x.
Schurr FM, Spiegel O, Steinitz O, Trakhtenbrot A, Tsoar A, Nathan R. Long-distance seed dispersal. In Ann Plant Rev. 2009. https://doi.org/10.1002/9781444314557.ch6.
Tackenberg O, Römermann C, Thompson K, Poschlod P. What does diaspore morphology tell us about external animal dispersal evidence from standardized experiments measuring seed retention on animal-coats. Basic Appl Ecol. 2006. https://doi.org/10.1016/j.baae.2005.05.001.
Weegman MD, Bearhop S, Hilton GM, Walsh AJ, Griffin L, Resheff YS, Nathan R, Fox AD. Using accelerometry to compare costs of extended migration in an arctic herbivore. Curr Zool. 2017. https://doi.org/10.1093/cz/zox056.
White EP, Ernest SKM, Kerkhoff AJ, Enquist BJ. Relationships between body size and abundance in ecology. Trends Ecol Evol. 2007. https://doi.org/10.1016/j.tree.2007.03.007.
Wright SJ, Heurich M, Buchmann CM, Böcker R, Schurr FM. The importance of individual movement and feeding behaviour for long-distance seed dispersal by red deer a data-driven mode. Mov Ecol. 2020. https://doi.org/10.1186/s40462-020-00227-5.