Browsing by Author "Jesmer, Brett R."
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- Biological Earth observation with animal sensorsJetz, Walter; Tertitski, Grigori; Kays, Roland; Mueller, Uschi; Wikelski, Martin; Akesson, Susanne; Anisimov, Yury; Antonov, Aleksey; Arnold, Walter; Bairlein, Franz; Balta, Oriol; Baum, Diane; Beck, Mario; Belonovich, Olga; Belyaev, Mikhail; Berger, Matthias; Berthold, Peter; Bittner, Steffen; Blake, Stephen; Block, Barbara; Bloche, Daniel; Boehning-Gaese, Katrin; Bohrer, Gil; Bojarinova, Julia; Bommas, Gerhard; Bourski, Oleg; Bragin, Albert; Bragin, Alexandr; Bristol, Rachel; Brlik, Vojtech; Bulyuk, Victor; Cagnacci, Francesca; Carlson, Ben; Chapple, Taylor K.; Chefira, Kalkidan F.; Cheng, Yachang; Chernetsov, Nikita; Cierlik, Grzegorz; Christiansen, Simon S.; Clarabuch, Oriol; Cochran, William; Cornelius, Jamie Margaret; Couzin, Iain; Crofoot, Margret C.; Cruz, Sebastian; Davydov, Alexander; Davidson, Sarah; Dech, Stefan; Dechmann, Dina; Demidova, Ekaterina; Dettmann, Jan; Dittmar, Sven; Dorofeev, Dmitry; Drenckhahn, Detlev; Dubyanskiy, Vladimir; Egorov, Nikolay; Ehnbom, Sophie; Ellis-Soto, Diego; Ewald, Ralf; Feare, Chris; Fefelov, Igor; Fehervari, Peter; Fiedler, Wolfgang; Flack, Andrea; Froboese, Magnus; Fufachev, Ivan; Futoran, Pavel; Gabyshev, Vyachaslav; Gagliardo, Anna; Garthe, Stefan; Gashkov, Sergey; Gibson, Luke; Goymann, Wolfgang; Gruppe, Gerd; Guglielmo, Chris; Hartl, Phil; Hedenstrom, Anders; Hegemann, Arne; Heine, Georg; Ruiz, Maggi Hieber; Hofer, Heribert; Huber, Felix; Hurme, Edward; Iannarilli, Fabiola; Illa, Marc; Isaev, Arkadiy; Jakobsen, Bent; Jenni, Lukas; Jenni-Eiermann, Susi; Jesmer, Brett R.; Jiguet, Frederic; Karimova, Tatiana; Kasdin, N. Jeremy; Kazansky, Fedor; Kirillin, Ruslan; Klinner, Thomas; Knopp, Andreas; Koelzsch, Andrea; Kondratyev, Alexander; Krondorf, Marco; Ktitorov, Pavel; Kulikova, Olga; Kumar, R. Suresh; Kuenzer, Claudia; Larionov, Anatoliy; Larose, Christine; Liechti, Felix; Linek, Nils; Lohr, Ashley; Lushchekina, Anna; Mansfield, Kate; Matantseva, Maria; Markovets, Mikhail; Marra, Peter; Masello, Juan F.; Melzheimer, Joerg; Menz, Myles HM M.; Menzie, Stephen; Meshcheryagina, Swetlana; Miquelle, Dale; Morozov, Vladimir; Mukhin, Andrey; Mueller, Inge; Mueller, Thomas; Navedo, Juan G.; Nathan, Ran; Nelson, Luke; Nemeth, Zoltan; Newman, Scott; Norris, Ryan; Nsengimana, Olivier; Okhlopkov, Innokentiy; Oles, Wioleta; Oliver, Ruth; O'Mara, Teague; Palatitz, Peter; Partecke, Jesko; Pavlick, Ryan; Pedenko, Anastasia; Perry, Alys; Pham, Julie; Piechowski, Daniel; Pierce, Allison; Piersma, Theunis; Pitz, Wolfgang; Plettemeier, Dirk; Pokrovskaya, Irina; Pokrovskaya, Liya; Pokrovsky, Ivan; Pot, Morrison; Prochazka, Petr; Quillfeldt, Petra; Rakhimberdiev, Eldar; Ramenofsky, Marilyn; Ranipeta, Ajay; Rapczynski, Jan; Remisiewicz, Magdalena; Rozhnov, Viatcheslav; Rienks, Froukje; Rozhnov, Vyacheslav; Rutz, Christian; Sakhvon, Vital; Sapir, Nir; Safi, Kamran; Schaeuffelhut, Friedrich; Schimel, David; Schmidt, Andreas; Shamoun-Baranes, Judy; Sharikov, Alexander; Shearer, Laura; Shemyakin, Evgeny; Sherub, Sherub; Shipley, Ryan; Sica, Yanina; Smith, Thomas B.; Simonov, Sergey; Snell, Katherine; Sokolov, Aleksandr; Sokolov, Vasiliy; Solomina, Olga; Spina, Fernando; Spoelstra, Kamiel; Storhas, Martin; Sviridova, Tatiana; Swenson, George; Taylor, Phil; Thorup, Kasper; Tsvey, Arseny; Tucker, Marlee; Tuppen, Sophie; Turner, Woody; Twizeyimana, Innocent; van der Jeugd, Henk; van Schalkwyk, Louis; van Toor, Marielle; Viljoen, Pauli; Visser, Marcel E.; Volkmer, Tamara; Volkov, Andrey; Volkov, Sergey; Volkov, Oleg; von Ronn, Jan AC C.; Vorneweg, Bernd; Wachter, Bettina; Waldenstrom, Jonas; Weber, Natalie; Wegmann, Martin; Wehr, Aloysius; Weinzierl, Rolf; Weppler, Johannes; Wilcove, David; Wild, Timm; Williams, Hannah J.; Wilshire, John H.; Wingfield, John; Wunder, Michael; Yachmennikova, Anna; Yanco, Scott; Yohannes, Elisabeth; Zeller, Amelie; Ziegler, Christian; Ziecik, Anna; Zook, Cheryl (Cell Press, 2022-05-22)Space-based tracking technology using low-cost miniature tags is now delivering data on fine-scale animal movement at near-global scale. Linked with remotely sensed environmental data, this offers a biological lens on habitat integrity and connectivity for conservation and human health; a global network of animal sentinels of environmental change.
- Biological Earth observation with animal sensorsJetz, Walter; Tertitski, Grigori; Kays, Roland; Mueller, Uschi; Wikelski, Martin; Supporting authors; Jesmer, Brett R. (Elsevier, 2022-04-01)Space-based tracking technology using low-cost miniature tags is now delivering data on fine-scale animal movement at near-global scale. Linked with remotely sensed environmental data, this offers a biological lens on habitat integrity and connectivity for conservation and human health; a global network of animal sentinels of environmental change.
- Extending Body Condition Scoring Beyond Measureable Rump Fat to Estimate Full Range of Nutritional Condition for MooseLevine, Rebecca; Smiley, Rachel; Jesmer, Brett R.; Oates, Brendan; Goheen, Jacob; Stephenson, Gary; Kauffman, Matthew; Fralick, Gary; Monteith, Kevin (2023-02-18)Moose (Alces alces) populations along the southern extent of their range are largely declining, and there is growing evidence that nutritional condition — which influences several vital rates – is a contributing factor. Moose body condition can presently be estimated only when there is measurable subcutaneous rump fat, which equates to animals with >6% ingesta-free body fat (IFBFat). There is need for a technique to allow body fat estimation of animals in poorer body condition (i.e., <6% body fat). We advance current methods for moose, following those used and validated with other ungulate species, by establishing a moose-specific body condition score (BCS) that can be used to estimate IFBFat in the lower range of condition. Our modified BCS was related strongly (r2 = 0.89) to IFBFat estimates based on measurable rump fat. By extending the predicted relationship to individuals without measurable fat, the BCS equated severe emaciation with 0.67% IFBFat, supporting the accuracy of the method. The lower end of nutritional condition is important for identifying relationships involving life-history characteristics because most state-dependent changes occur at lower levels of condition. Therefore, until the BCS can be validated with moose carcasses, we believe our method to estimate body fat across the full range of condition should yield better understanding of the drivers underlying declining moose populations.
- Life-history theory provides a framework for detecting resource limitation: a test of the Nutritional Buffer HypothesisJesmer, Brett R.; Kauffman, Matthew J.; Courtemanch, Alyson B.; Kilpatrick, Steve; Thomas, Timothy; Yost, Jeff; Monteith, Kevin L.; Goheen, Jacob R. (2021-06)For ungulates and other long-lived species, life-history theory predicts that nutritional reserves are allocated to reproduction in a state-dependent manner because survival is highly conserved. Further, as per capita food abundance and nutritional reserves decline (i.e., density dependence intensifies), reproduction and recruitment become increasingly sensitive to weather. Thus, the degree to which weather influences vital rates should be associated with proximity to nutritional carrying capacity-a notion that we refer to as the Nutritional Buffer Hypothesis. We tested the Nutritional Buffer Hypothesis using six moose (Alces alces) populations that varied in calf recruitment (33-69 calves/100 cows). We predicted that populations with high calf recruitment were nutritionally buffered against the effects of unfavorable weather, and thus were below nutritional carrying capacity. We applied a suite of tools to quantify habitat and nutritional condition of each population and found that increased browse condition, forage quality, and body fat were associated with increased pregnancy and calf recruitment, thereby providing multiple lines of evidence that declines in calf recruitment were underpinned by resource limitation. From 2001 to 2015, recruitment was more sensitive to interannual variation in weather (e.g., winter severity, drought) and plant phenology (e.g., duration of spring) for populations with reduced browse condition, forage quality, and body fat, suggesting these populations lacked the nutritional reserves necessary to buffer demographic performance against the effects of unfavorable weather. Further, average within-population calf recruitment was determined by regional climatic variation, suggesting that the pattern of reduced recruitment near the southern range boundary of moose stems from an interaction between climate and resource limitation. When coupled with information on habitat, nutrition, weather, and climate, life-history theory provides a framework to estimate nutritional limitation, proximity to nutritional carrying capacity, and impacts of climate change for ungulates.
- Many avenues for spatial personality research: a response to comments on Stuber et al. (2022)Stuber, Erica F.; Carlson, Ben S.; Jesmer, Brett R. (Oxford University Press, 2022-03-04)We are grateful for the thought-provoking and forward-looking commentaries (Dingemanse et al. 2022; Mabry 2022; Spiegel and Pinter-Wollman 2022; Vander Wal et al. 2022) in response to our meta-analysis of evidence for consistent among-individual differences in animals’ spatial behaviors (Stuber et al. 2022). A clear consensus is that our demonstration of the prevalence of repeatability across spatial behaviors, and taxa, is only the first step towards identifying the mechanisms and consequences of variation in spatial behavior. Here, we take the opportunity to emphasize key future directions pertaining to uncovering mechanisms, disentangling apparent personality from spatial constraints, and examining additional metrics of variation.
- Spatial personalities: a meta-analysis of consistent individual differences in spatial behaviorStuber, Erica F.; Carlson, Ben S.; Jesmer, Brett R. (Oxford University Press, 2022-05-13)The study of animal personality has focused on five main traits: exploration, boldness, activity, aggression, and sociality, but it is unclear whether animals display personality across additional behavioral domains. We investigated the generality of personality across spatial behaviors such as home-ranging, movement through space, and habitat use. We demonstrated that individuals consistently differed in these behaviors across taxa. The existence of spatial personality may influence wildlife distribution, abundance, interactions, and fitness, and thus effect the capacity for populations to adapt to environmental change. Individual variation in behavior, particularly consistent among-individual differences (i.e., personality), has important ecological and evolutionary implications for population and community dynamics, trait divergence, and patterns of speciation. Nevertheless, individual variation in spatial behaviors, such as home range behavior, movement characteristics, or habitat use has yet to be incorporated into the concepts or methodologies of ecology and evolutionary biology. To evaluate evidence for the existence of consistent among-individual differences in spatial behavior - which we refer to as "spatial personality" - we performed a meta-analysis of 200 repeatability estimates of home range size, movement metrics, and habitat use. We found that the existence of spatial personality is a general phenomenon, with consistently high repeatability (r) across classes of spatial behavior (r = 0.67-0.82), taxa (r = 0.31-0.79), and time between repeated measurements (r = 0.54-0.74). These results suggest: 1) repeatable spatial behavior may either be a cause or consequence of the environment experienced and lead to spatial personalities that may limit the ability of individuals to behaviorally adapt to changing landscapes; 2) interactions between spatial phenotypes and environmental conditions could result in differential reproduction, survival, and dispersal, suggesting that among-individual variation may facilitate population-level adaptation; 3) spatial patterns of species' distributions and spatial population dynamics may be better understood by shifting from a mean field analytical approach towards methods that account for spatial personalities and their associated fitness and ecological dynamics.