Ecology最新文献

{"title":"Dear enemy effects in the stoplight parrotfish, Sparisoma viride.","authors":"Joshua C Manning, Sophie J McCoy","doi":"10.1002/ecy.4407","DOIUrl":"https://doi.org/10.1002/ecy.4407","url":null,"abstract":"","PeriodicalId":93986,"journal":{"name":"Ecology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142082972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The contribution of nearshore oceanography to temporal variation in larval dispersal.","authors":"Katrina A Catalano, Elizabeth J Drenkard, Enrique N Curchitser, Allison G Dedrick, Michelle R Stuart, Humberto R Montes, Malin L Pinsky","doi":"10.1002/ecy.4412","DOIUrl":"https://doi.org/10.1002/ecy.4412","url":null,"abstract":"<p><p>Patterns of population connectivity shape ecological and evolutionary phenomena from population persistence to local adaptation and can inform conservation strategy. Connectivity patterns emerge from the interaction of individual behavior with a complex and heterogeneous environment. Despite ample observation that dispersal patterns vary through time, the extent to which variation in the physical environment can explain emergent connectivity variation is not clear. Empirical studies of its contribution promise to illuminate a potential source of variability that shapes the dynamics of natural populations. We leveraged simultaneous direct dispersal observations and oceanographic transport simulations of the clownfish Amphiprion clarkii in the Camotes Sea, Philippines, to assess the contribution of oceanographic variability to emergent variation in connectivity. We found that time-varying oceanographic simulations on both annual and monsoonal timescales partly explained the observed dispersal patterns, suggesting that temporal variation in oceanographic transport shapes connectivity variation on these timescales. However, interannual variation in observed mean dispersal distance was nearly 10 times the expected variation from biophysical simulations, revealing that additional biotic and abiotic factors contribute to interannual connectivity variation. Simulated dispersal kernels also predicted a smaller scale of dispersal than the observations, supporting the hypothesis that undocumented abiotic factors and behaviors such as swimming and navigation enhance the probability of successful dispersal away from, as opposed to retention near, natal sites. Our findings highlight the potential for coincident observations and biophysical simulations to test dispersal hypotheses and the influence of temporal variability on metapopulation persistence, local adaptation, and other population processes.</p>","PeriodicalId":93986,"journal":{"name":"Ecology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142082974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Boring into rock and hard substrates by the midge, Axarus (Diptera; Chironomidae).","authors":"Sam Miess, Andrew R Dzialowski","doi":"10.1002/ecy.4408","DOIUrl":"https://doi.org/10.1002/ecy.4408","url":null,"abstract":"","PeriodicalId":93986,"journal":{"name":"Ecology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142082971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Divergent seed dispersal outcomes: Interactions between seed, disperser, and forest traits.","authors":"Bastien Dehaudt, Tom Bruce, Vincent Deblauwe, António Ferraz, Brett Gardner, Tafon Godwin 'Babs' Bibila, Matthew LeBreton, Gaston Mempong, Kevin Njabo, Standly Nkemnyi Nkengbeza, Elsa M Ordway, Lucas Pavan, Nicholas J Russo, Thomas B Smith, Matthew Scott Luskin","doi":"10.1002/ecy.4409","DOIUrl":"https://doi.org/10.1002/ecy.4409","url":null,"abstract":"<p><p>Animals disperse seeds in various ways that affect seed deposition sites and seed survival, ultimately shaping plant species distribution, community composition, and ecosystem structure. Some animal species can disperse seeds through multiple pathways (e.g., defecation, regurgitation, epizoochory), each likely producing distinct seed dispersal outcomes. We studied how seed traits (size and toughness) interact with disperser species to influence seed dispersal pathway and how this ultimately shapes the proportion of seeds deposited in various habitat types. We focused on three frugivorous species of duikers (African forest antelopes) in the Dja Faunal Reserve, a tropical rainforest in southern Cameroon. Duikers can both defecate and regurgitate seeds, the latter predominantly occurring during rumination at their bedding sites (or \"nests\"). We located duiker nests and dungs along 18 linear 1-km-transects to assess: (1) how seed traits affect the likelihood of dispersal via defecation versus regurgitation, (2) if defecated versus regurgitated seeds are deposited at different rates in different forest types (assessed by indigenous Baka), microhabitats, and forest structural attributes (measured by drone lidar), and (3) if these differ between three duiker species that vary in size and diel activity patterns. We found that duikers predominantly defecated small seeds (<3 mm length) and regurgitated larger and tougher seeds (>10 mm length), the latter including 25 different plant species. The three duiker species varied in their nesting habits, with nocturnal bay duikers (Cephalophus dorsalis) nesting in dense understory vegetation at proportions 3-4 times higher than Peter's and yellow-backed duikers (Cephalophus callipygus and Cephalophus silvicultor). As a result, bay duikers deposited larger regurgitated seeds at a higher rate in habitats with denser understory where lianas and palms predominate and near fallen trees. This directed regurgitation seed deposition likely plays an important and unique role in forest succession and structure. This study highlights the importance of ungulate seed dispersal by regurgitation, a vastly understudied process that could impact many ecosystems given the prevalence of ruminating ungulates worldwide.</p>","PeriodicalId":93986,"journal":{"name":"Ecology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142082973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Seasonal timing of fluorescence and photosynthetic yields at needle and canopy scales in evergreen needleleaf forests.","authors":"Zoe Amie Pierrat, Troy Magney, Andrew Maguire, Logan Brissette, Russell Doughty, David R Bowling, Barry Logan, Nicholas Parazoo, Christian Frankenberg, Jochen Stutz","doi":"10.1002/ecy.4402","DOIUrl":"https://doi.org/10.1002/ecy.4402","url":null,"abstract":"<p><p>The seasonal timing and magnitude of photosynthesis in evergreen needleleaf forests (ENFs) has major implications for the carbon cycle and is increasingly sensitive to changing climate. Earlier spring photosynthesis can increase carbon uptake over the growing season or cause early water reserve depletion that leads to premature cessation and increased carbon loss. Determining the start and the end of the growing season in ENFs is challenging due to a lack of field measurements and difficulty in interpreting satellite data, which are impacted by snow and cloud cover, and the pervasive \"greenness\" of these systems. We combine continuous needle-scale chlorophyll fluorescence measurements with tower-based remote sensing and gross primary productivity (GPP) estimates at three ENF sites across a latitudinal gradient (Colorado, Saskatchewan, Alaska) to link physiological changes with remote sensing signals during transition seasons. We derive a theoretical framework for observations of solar-induced chlorophyll fluorescence (SIF) and solar intensity-normalized SIF (SIF_relative) under snow-covered conditions, and show decreased sensitivity compared with reflectance data (~20% reduction in measured SIF vs. ~60% reduction in near-infrared vegetation index [NIRv] under 50% snow cover). Needle-scale fluorescence and photochemistry strongly correlated (r² = 0.74 in Colorado, 0.70 in Alaska) and showed good agreement on the timing and magnitude of seasonal transitions. We demonstrate that this can be scaled to the site level with tower-based estimates of LUE_P and SIF_relative which were well correlated across all sites (r² = 0.70 in Colorado, 0.53 in Saskatchewan, 0.49 in Alaska). These independent, temporally continuous datasets confirm an increase in physiological activity prior to snowmelt across all three evergreen forests. This suggests that data-driven and process-based carbon cycle models which assume negligible physiological activity prior to snowmelt are inherently flawed, and underscores the utility of SIF data for tracking phenological events. Our research probes the spectral biology of evergreen forests and highlights spectral methods that can be applied in other ecosystems.</p>","PeriodicalId":93986,"journal":{"name":"Ecology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142006141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Peat profile database from peatlands in Canada.","authors":"Ilka E Bauer, Marissa A Davies, Kelly A Bona, Oleksandra Hararuk, Cindy H Shaw, Daniel K Thompson, Werner A Kurz, Kara L Webster, Michelle Garneau, Jim W McLaughlin, Maara S Packalen, Emily Prystupa, Nicole K Sanderson, Charles Tarnocai","doi":"10.1002/ecy.4398","DOIUrl":"https://doi.org/10.1002/ecy.4398","url":null,"abstract":"<p><p>Peatlands cover approximately 12% of the Canadian landscape and play an important role in the carbon cycle through their centennial- to millennial-scale storage of carbon under waterlogged and anoxic conditions. In recognizing the potential of these ecosystems as natural climate solutions and therefore the need to include them in national greenhouse gas inventories, the Canadian Model for Peatlands module (CaMP v. 2.0) was developed by the Canadian Forest Service. Model parameterization included compiling peat profiles across Canada to calibrate peat decomposition rates from different peatland types, to define typical bulk density profiles, and to describe the hydrological (i.e., water table) response of peatlands to climatic changes. A total of 1217 sites were included in the dataset from published and unpublished sources. The CORESITES table contains site location and summary data for each profile, as well as an estimate of total carbon mass per unit area (in megagrams of C per hectare). Total carbon mass per unit area at each location was calculated using bulk density and carbon content through each profile. The PROFILES table contains data for depth (in centimeters), bulk density (in grams per cubic meter), ash and carbon content (in percentage), and material descriptions for contiguous samples through each peat profile. Data gaps for bulk density and C content were filled using interpolation, regression trees, and assigned values based on material description and/or soil classification to allow for the estimation of total carbon mass per unit area. A subset of the sites (N = 374) also have pH and pore water trace-elemental geochemistry data and are found in the WATER table. The REFERENCES table contains the full citation of each source of the data and is linked to each core location through the SOURCEDATA table. The LOOKUP table defines codes in the database that required more space that what was sufficient in the metadata tables. The data can be accessed on Open Government Canada and will be useful for future work on carbon stock mapping and ecosystem modeling. All metadata and data are provided © Her Majesty the Queen in Right of Canada, 2023 and information contained in this publication may be reproduced for personal or public noncommercial purposes with attribution, whereas commercial reproduction and distribution are prohibited except with written permission from NRCan; complete details are noted in the Supporting Information file Metadata S1 (see Class III.B.3: Copyright restrictions).</p>","PeriodicalId":93986,"journal":{"name":"Ecology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141984180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Territoriality","authors":"A. Kamath","doi":"10.1093/obo/9780199830060-0230","DOIUrl":"https://doi.org/10.1093/obo/9780199830060-0230","url":null,"abstract":"Territoriality is a foundational concept in animal behavior and behavioral ecology. Territoriality is commonly defined as “the defense of an area,” wherein the area being defended is known as the “territory.” Territoriality serves as a framework that allows animal behaviorists and behavioral ecologists to describe and hypothesize links among diverse aspects of animals’ biology. The many facets and functions of territoriality include the acquisition of food, nest sites, and shelter, space-use and movement behavior, and interactions with mates and competitors. Thus, because territoriality encompasses behaviors that directly determine individuals’ survival and reproduction (i.e., their fitness), it offers a powerful approach to understanding the evolution of animal behavior. Territoriality has been used to describe animal behavior for many centuries, particularly in avian systems; conversely, many advances in how biologists conceive of and use territoriality have arisen in research on birds. Operational definitions of territory fall broadly into two categories—those that focus on animals’ behavior and those that focus on their ecological relationships. That said, the question of how to conceive of territory has long been a subject of contention, with widely varied opinions on how the term should be defined and whether and how it is useful for understanding animal behavior. Discussions and critiques of territoriality, from not only animal behavior and behavioral ecology but also from the social sciences, help to contextualize and sharpen how we use the concept to understand the evolution of animal behavior. Technological and statistical advances continue to change the ways in which territories are mapped and quantified, with different methods available for taxa of different sizes, habitats, and life histories. Research on territoriality can be divided into two large domains based on the function served by territory—foraging and mating—but these two functions are intimately linked through the socioecological hypothesis that proposes a relationship between resource distributions and mating systems. This hypothesis has served to structure much research on territoriality in the last half-century or so. Finally, territoriality is pertinent not just to within-species interactions but also to between-species interactions and species coexistence, with implications for macroecological and macroevolutionary patterns and processes.","PeriodicalId":93986,"journal":{"name":"Ecology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141220878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}