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Correction to “Individual and combined impacts of carbon dioxide enrichment, heatwaves, flow velocity variability, and fine sediment deposition on stream invertebrate communities” 更正 "二氧化碳富集、热浪、流速变化和细沉积物沉积对溪流无脊椎动物群落的单独和综合影响"
IF 10.8 1区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION Pub Date : 2024-09-20 DOI: 10.1111/gcb.17510
<p>Hunn, J. G., Orr, J. A., Kelly, A.-M., Piggott, J. J., & Matthaei, C. D. (2024). Individual and combined impacts of carbon dioxide enrichment, heatwaves, flow velocity variability, and fine sediment deposition on stream invertebrate communities. Global Change Biology, 30, e17336. https://doi.org/10.1111/gcb.17336</p><p>In the originally published version of this manuscript, the full names of the authors were omitted. They are</p><p>Julia G. Hunn, James A. Orr, Ann-Marie Kelly, Jeremy J. Piggott, Christoph D. Matthaei</p><p>This error has been corrected online.</p><p>In addition, due to a mistake that occurred during the typesetting process, negative symbols were omitted from some locations in the text. The corrected text is below:</p><p> <b>2.2 Experimental setup</b> </p><p>Each of the eight 135-L header tanks gravity-fed stream water to 16 mesocosms at a constant discharge of 2 L/min, measured at the start of the colonization period (<b>Day −16</b>) and recalibrated daily, via 4-m length of 13-mm polythene pipe controlled by a tap regulator. To create a bed substratum emulating small New Zealand streams (Matthaei et al., 2006), 500 mL of small- to medium-sized gravel was collected from the river floodplain, sieved to remove fine sediment (particles <2 mm; Zweig & Rabeni, 2001), and added to each mesocosm with 14 randomly selected 40- to 50-mm flat cobbles placed on top. On Day 0, a piece of PVC pipe (80 mm length, diameter 40 mm) was placed in the remaining space to act as a fish shelter, and a 1-cm stainless steel mesh covering was placed over the outflow to prevent fish escaping, scrubbed daily with filtered stream water to remove any trapped organic material.</p><p> <b>2.3 Experimental design and procedures</b> </p><p>CO<sub>2</sub>, fine sediment, flow velocity variability, and temperature were manipulated in a full-factorial 2 × 2 × 2 × 2 design with eight replicates of each treatment combination. Flow to the mesocosms began on October 21, 2019 (<b>Day −17</b>), the start of a 17-day colonization period. During this, the CO<sub>2</sub> (from <b>Day −17</b>) and sediment (from <b>Day −14</b>) manipulations were already implemented. A 35-day “experimental” period (beginning on Day 0) followed, during which temperature and flow velocity were manipulated, as well (Figure 2).</p><p>CO<sub>2</sub> treatments were randomly assigned at the header tank level, with one CO<sub>2</sub>-enriched header tank in each of four spatial blocks of two tanks per block. CO<sub>2</sub> was bubbled into CO<sub>2</sub>-enriched header tanks continuously from the start of the colonization period (<b>Day −17</b>). On Days 14 and 28, 1-L water samples taken from 16 randomly selected channels (eight ambient and eight CO<sub>2</sub>-enriched) were stored in sealed glass bottles and preserved with mercuric chloride for DIC analysis. Within 5 min of sampling, pH and temperature were also measured in these chann
Hunn, J. G., Orr, J. A., Kelly, A.-M., Piggott, J. J., & Matthaei, C. D. (2024).二氧化碳富集、热浪、流速变化和细沉积物沉积对溪流无脊椎动物群落的单独和综合影响。Global Change Biology, 30, e17336. https://doi.org/10.1111/gcb.17336In 本手稿最初发表的版本中,作者全名被省略。他们是Julia G. Hunn、James A. Orr、Ann-Marie Kelly、Jeremy J. Piggott、Christoph D. Matthaei这一错误已在网上更正。此外,由于排版过程中出现的错误,文中某些位置省略了负号。更正后的文本如下: 2.2 实验设置八个 135 L 的集水槽均以 2 L/min 的恒定排水量向 16 个中样池注入溪水,该排水量是在定殖期开始时(第 -16 天)测量的,并每天重新校准。为了模仿新西兰小溪流(Matthaei 等人,2006 年)的河床底质,从河漫滩收集了 500 毫升中小型砾石,过筛去除细小沉积物(颗粒<2 毫米;Zweig & Rabeni,2001 年),然后添加到每个中观生态系统中,并在上面放置 14 块随机挑选的 40 至 50 毫米扁平鹅卵石。第 0 天,在剩余空间放置一根 PVC 管(长 80 毫米,直径 40 毫米)作为鱼类庇护所,并在出水口上放置一个 1 厘米的不锈钢网罩,以防止鱼类逃逸,每天用过滤的溪水擦洗,以去除任何滞留的有机物质。2.3 实验设计和程序CO2、细沉积物、流速变化和温度在一个全因子 2 × 2 × 2 × 2 设计中进行操作,每个处理组合有八个重复。中置池的水流从 2019 年 10 月 21 日(第 -17 天)开始,即 17 天定植期的开始。在此期间,二氧化碳(从第 -17 天开始)和沉积物(从第 -14 天开始)处理已经开始实施。随后是为期 35 天的 "实验 "期(从第 0 天开始),在此期间也对温度和流速进行了控制(图 2)。CO2 处理是在集流槽一级随机分配的,在四个空间区块(每个区块两个集流槽)中,每个区块都有一个富含 CO2 的集流槽。从定植期开始(第 17 天)起,持续向富含二氧化碳的集气罐中充入二氧化碳。第 14 天和第 28 天,从 16 个随机选取的水道(8 个环境水道和 8 个二氧化碳富集水道)中采集 1 升水样,保存在密封的玻璃瓶中,并用氯化汞保存,以进行 DIC 分析。取样后 5 分钟内,还使用手持式 pH 计(HI-98128;罗德岛汉纳)测量了这些水道的 pH 值和温度。第 -2 天,按照 Piggott、Townsend 和 Matthaei(2015a)中描述的方法,在每个中观生态系中加入一个 Kauru 河底栖无脊椎动物群落的标准样本,以补充漂流中代表性不足的无脊椎动物自然定殖。在第 -12、-1、4 和 11 天,使用精密流量计(MiniWater20;Schiltknecht,瑞士戈绍)测量了所有河道的流速。第 -12 天的近床平均流速为 20 ± 1.1 厘米/秒,随着时间的推移,流速逐渐降低,因为渠道中形成了大量的底栖藻类群落(包括丝状类群)。开始水流处理前(第 1 天)的平均流速为 17.9 ± 1.4 厘米/秒。第 4 天(第一个 "快 "时段),"恒定 "水道的平均流速为 7.0 ± 2.8 厘米/秒,"变化 "水道的平均流速为 14.9 ± 3.2 厘米/秒。第 11 天(第一个 "慢 "周期),"恒定 "和 "可变 "水道的平均流速分别为 9.3 ± 2.6 和 2.0 ± 1.5。根据这两个日期,"可变 "水道在 "快 "和 "慢 "期间的平均流速为 8.5 厘米/秒。对于 "恒定 "通道,相应的平均速度为 8.2 厘米/秒。
{"title":"Correction to “Individual and combined impacts of carbon dioxide enrichment, heatwaves, flow velocity variability, and fine sediment deposition on stream invertebrate communities”","authors":"","doi":"10.1111/gcb.17510","DOIUrl":"10.1111/gcb.17510","url":null,"abstract":"&lt;p&gt;Hunn, J. G., Orr, J. A., Kelly, A.-M., Piggott, J. J., &amp; Matthaei, C. D. (2024). Individual and combined impacts of carbon dioxide enrichment, heatwaves, flow velocity variability, and fine sediment deposition on stream invertebrate communities. Global Change Biology, 30, e17336. https://doi.org/10.1111/gcb.17336&lt;/p&gt;&lt;p&gt;In the originally published version of this manuscript, the full names of the authors were omitted. They are&lt;/p&gt;&lt;p&gt;Julia G. Hunn, James A. Orr, Ann-Marie Kelly, Jeremy J. Piggott, Christoph D. Matthaei&lt;/p&gt;&lt;p&gt;This error has been corrected online.&lt;/p&gt;&lt;p&gt;In addition, due to a mistake that occurred during the typesetting process, negative symbols were omitted from some locations in the text. The corrected text is below:&lt;/p&gt;&lt;p&gt;\u0000 &lt;b&gt;2.2 Experimental setup&lt;/b&gt;\u0000 &lt;/p&gt;&lt;p&gt;Each of the eight 135-L header tanks gravity-fed stream water to 16 mesocosms at a constant discharge of 2 L/min, measured at the start of the colonization period (&lt;b&gt;Day −16&lt;/b&gt;) and recalibrated daily, via 4-m length of 13-mm polythene pipe controlled by a tap regulator. To create a bed substratum emulating small New Zealand streams (Matthaei et al., 2006), 500 mL of small- to medium-sized gravel was collected from the river floodplain, sieved to remove fine sediment (particles &lt;2 mm; Zweig &amp; Rabeni, 2001), and added to each mesocosm with 14 randomly selected 40- to 50-mm flat cobbles placed on top. On Day 0, a piece of PVC pipe (80 mm length, diameter 40 mm) was placed in the remaining space to act as a fish shelter, and a 1-cm stainless steel mesh covering was placed over the outflow to prevent fish escaping, scrubbed daily with filtered stream water to remove any trapped organic material.&lt;/p&gt;&lt;p&gt;\u0000 &lt;b&gt;2.3 Experimental design and procedures&lt;/b&gt;\u0000 &lt;/p&gt;&lt;p&gt;CO&lt;sub&gt;2&lt;/sub&gt;, fine sediment, flow velocity variability, and temperature were manipulated in a full-factorial 2 × 2 × 2 × 2 design with eight replicates of each treatment combination. Flow to the mesocosms began on October 21, 2019 (&lt;b&gt;Day −17&lt;/b&gt;), the start of a 17-day colonization period. During this, the CO&lt;sub&gt;2&lt;/sub&gt; (from &lt;b&gt;Day −17&lt;/b&gt;) and sediment (from &lt;b&gt;Day −14&lt;/b&gt;) manipulations were already implemented. A 35-day “experimental” period (beginning on Day 0) followed, during which temperature and flow velocity were manipulated, as well (Figure 2).&lt;/p&gt;&lt;p&gt;CO&lt;sub&gt;2&lt;/sub&gt; treatments were randomly assigned at the header tank level, with one CO&lt;sub&gt;2&lt;/sub&gt;-enriched header tank in each of four spatial blocks of two tanks per block. CO&lt;sub&gt;2&lt;/sub&gt; was bubbled into CO&lt;sub&gt;2&lt;/sub&gt;-enriched header tanks continuously from the start of the colonization period (&lt;b&gt;Day −17&lt;/b&gt;). On Days 14 and 28, 1-L water samples taken from 16 randomly selected channels (eight ambient and eight CO&lt;sub&gt;2&lt;/sub&gt;-enriched) were stored in sealed glass bottles and preserved with mercuric chloride for DIC analysis. Within 5 min of sampling, pH and temperature were also measured in these chann","PeriodicalId":175,"journal":{"name":"Global Change Biology","volume":null,"pages":null},"PeriodicalIF":10.8,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gcb.17510","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142247147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Exploring the synergy of enhanced weathering and Bacillus subtilis: A promising strategy for sustainable agriculture 探索强化风化与枯草芽孢杆菌的协同作用:可持续农业的可行战略
IF 10.8 1区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION Pub Date : 2024-09-18 DOI: 10.1111/gcb.17511
Harun Niron, Arthur Vienne, Patrick Frings, Reinaldy Poetra, Sara Vicca

Climate change is one of the most urgent environmental challenges that humanity faces. In addition to the reduction of greenhouse gas emissions, safe and robust carbon dioxide removal (CDR) technologies that capture atmospheric CO2 and ensure long-term sequestration are required. Among CDR technologies, enhanced silicate weathering (ESW) has been suggested as a promising option. While ESW has been demonstrated to depend strongly on pH, water, and temperature, recent studies suggest that biota may accelerate mineral weathering rates. Bacillus subtilis is a plant growth-promoting rhizobacterium that can facilitate weathering to obtain mineral nutrients. It is a promising agricultural biofertilizer, as it helps plants acquire nutrients and protects them from environmental stresses. Given that croplands are optimal implementation fields for ESW, any synergy between ESW and B. subtilis can hold great potential for further practice. B. subtilis was reported to enhance weathering under laboratory conditions, but there is a lack of data for soil applications. In a soil-mesocosm experiment, we examined the effect of B. subtilis on basalt weathering. B. subtilis–basalt interaction stimulated basalt weathering and increased soil extractable Fe. The combined application displayed higher CDR potential compared to basalt-only application (3.7 vs. 2.3 tons CO2 ha−1) taking solid and liquid cation pools into account. However, the cumulative CO2 efflux decreased by approximately 2 tons CO2 ha−1 with basalt-only treatment, while the combined application did not affect the CO2 efflux. We found limited mobilization of cations to the liquid phase as most were retained in the soil. Additionally, we found substantial mobilization of basalt-originated Mg, Fe, and Al to oxide- and organic-bound soil fractions. We, therefore, conclude that basalt addition showed relatively low inorganic CDR potential but a high capacity for SOM stabilization. The outcomes indicated the importance of weathering rate–GHG emission integration and the high potential of SOM stabilization in ESW studies.

气候变化是人类面临的最紧迫的环境挑战之一。除了减少温室气体排放外,还需要安全稳健的二氧化碳去除(CDR)技术,以捕获大气中的二氧化碳并确保长期封存。在 CDR 技术中,增强硅酸盐风化(ESW)被认为是一种很有前途的选择。虽然 ESW 已被证明在很大程度上取决于 pH 值、水和温度,但最近的研究表明,生物群可加快矿物风化速度。枯草芽孢杆菌是一种促进植物生长的根瘤菌,可促进风化以获得矿物养分。它是一种很有前途的农业生物肥料,因为它能帮助植物获得养分,并保护植物免受环境压力的影响。鉴于农田是 ESW 的最佳实施领域,ESW 与枯草芽孢杆菌之间的任何协同增效作用都具有进一步实践的巨大潜力。据报道,在实验室条件下,枯草芽孢杆菌可促进风化,但缺乏土壤应用方面的数据。在一项土壤-模拟实验中,我们研究了枯草芽孢杆菌对玄武岩风化的影响。枯草芽孢杆菌与玄武岩的相互作用促进了玄武岩的风化并增加了土壤中的可提取铁。考虑到固体和液体阳离子池,联合施用比单独施用玄武岩显示出更高的CDR潜力(3.7吨二氧化碳对2.3吨二氧化碳公顷-1)。然而,只施基质的累积二氧化碳排出量减少了约 2 吨二氧化碳(公顷-1),而联合施肥对二氧化碳排出量没有影响。我们发现阳离子向液相的迁移量有限,因为大部分阳离子都保留在土壤中。此外,我们还发现玄武岩中的镁、铁和铝被大量迁移到氧化物和有机结合的土壤成分中。因此,我们得出结论,玄武岩添加物显示出相对较低的无机 CDR 潜力,但具有较高的 SOM 稳定能力。研究结果表明了风化率-温室气体排放整合的重要性以及 SOM 稳定化在 ESW 研究中的巨大潜力。
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引用次数: 0
Land use drives the distribution of free, physically protected, and chemically protected soil organic carbon storage at a global scale 土地利用在全球范围内驱动自由、物理保护和化学保护土壤有机碳储存的分布
IF 10.8 1区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION Pub Date : 2024-09-18 DOI: 10.1111/gcb.17507
Samuel J. Willard, Guopeng Liang, Savannah Adkins, Karen Foley, Jessica Murray, Bonnie Waring

Soil organic carbon (SOC) sequestration is increasingly emphasized as a climate mitigation solution, as scientists, policy makers, and land managers prioritize enhancing belowground C storage. To identify key underlying drivers of total SOC distributions, we compiled a global dataset of soil C stocks held in three chemical forms, reflecting different mechanisms of organic C protection: free particulate organic C (fPOC), physically protected particulate organic C (oPOC), and mineral-protected soil organic C (mSOC). In our dataset, these three SOC pools were differentially sensitive to the effects of climate, soil mineralogy, and ecosystem type, emphasizing the importance of distinguishing between physical and chemical C protection mechanisms. C stocks in all three pools varied among ecosystems: cropland soils stored the least amount in each pool, with forest and grassland soils both containing significantly more fPOC (40%–60% greater in each ecosystem) than croplands. oPOC stocks did not significantly differ from zero in croplands but were substantial in forest and grassland soils. Meanwhile, mSOC stocks were the greatest in grasslands and shrublands (90%–100% greater than croplands). In cropland soils, there were no major effects of tillage on C storage in any of the three pools, while manure addition enhanced mSOC stocks, especially when added with inorganic N. Thus, the human land use intensity in croplands appears to reduce SOC storage in all major pools, depending upon management; retaining native vegetation should be emphasized to maintain current global SOC stocks.

随着科学家、政策制定者和土地管理者将加强地下碳储存作为优先事项,土壤有机碳(SOC)固存作为一种气候减缓解决方案日益受到重视。为了确定总 SOC 分布的主要基本驱动因素,我们编制了一个全球土壤碳储量数据集,该数据集反映了三种化学形式的有机碳保护机制:游离颗粒有机碳(fPOC)、物理保护颗粒有机碳(oPOC)和矿物保护土壤有机碳(mSOC)。在我们的数据集中,这三种有机碳库对气候、土壤矿物学和生态系统类型的影响具有不同的敏感性,这强调了区分物理和化学有机碳保护机制的重要性。这三个库中的碳储量因生态系统而异:耕地土壤在每个库中的储量最少,森林和草地土壤的 fPOC 储量(在每个生态系统中都比耕地高出 40%-60% )显著高于耕地。同时,草地和灌木地的 mSOC 储量最大(比耕地高出 90%-100% )。在耕地土壤中,耕作对三个碳库中任何一个的碳储量都没有重大影响,而添加粪肥则会增加 mSOC 储量,尤其是在添加无机氮时。因此,耕地中的人类土地利用强度似乎会减少所有主要碳库中的 SOC 储量,具体取决于管理情况;应强调保留本地植被,以维持当前的全球 SOC 储量。
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引用次数: 0
Changing disturbance regimes, material legacies, and stabilizing feedbacks: Dead coral skeletons impair key recovery processes following coral bleaching 不断变化的干扰机制、物质遗产和稳定反馈:珊瑚白化后,死亡的珊瑚骨骼会损害关键的恢复过程
IF 10.8 1区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION Pub Date : 2024-09-16 DOI: 10.1111/gcb.17504
Kai L. Kopecky, Sally J. Holbrook, Emalia Partlow, Madeline Cunningham, Russell J. Schmitt

Ecosystem responses to disturbance depend on the nature of the perturbation and the ecological legacies left behind, making it critical to understand how climate-driven changes in disturbance regimes modify resilience properties of ecosystems. For coral reefs, recent increases in severe marine heat waves now co-occur with powerful storms, the historic agent of disturbance. While storms kill coral and remove their skeletons, heat waves bleach and kill corals but leave their skeletons intact. Here, we explored how the material legacy of dead coral skeletons modifies two key ecological processes that underpin coral reef resilience: the ability of herbivores to control macroalgae (spatial competitors of corals), and the replenishment of new coral colonies. Our findings, grounded by a major bleaching event at our long-term study locale, revealed that the presence of structurally complex dead skeletons reduced grazing on turf algae by ~80%. For macroalgae, browsing was reduced by >40% on less preferred (unpalatable) taxa, but only by ~10% on more preferred taxa. This enabled unpalatable macroalgae to reach ~45% cover in 2 years. By contrast, herbivores prevented macroalgae from becoming established on adjacent reefs that lacked skeletons. Manipulation of unpalatable macroalgae revealed that the cover reached after 1 year (~20%) reduced recruitment of corals by 50%. The effect of skeletons on juvenile coral growth was contingent on the timing of settlement relative to the disturbance. If corals settled directly after bleaching (before macroalgae colonized), dead skeletons enhanced colony growth by 34%, but this benefit was lost if corals colonized dead skeletons a year after the disturbance once macroalgae had proliferated. These findings underscore how a material legacy from a changing disturbance regime can alter ecosystem resilience properties by disrupting key trophic and competitive interactions that shape post-disturbance community dynamics.

生态系统对扰动的反应取决于扰动的性质和留下的生态遗产,因此了解气候驱动的扰动机制变化如何改变生态系统的恢复力特性至关重要。对于珊瑚礁来说,最近严重的海洋热浪与历史上的干扰因素--强风暴--同时出现。风暴会杀死珊瑚并带走它们的骨骼,而热浪会漂白并杀死珊瑚,但会完整地留下它们的骨骼。在这里,我们探讨了死亡珊瑚骨架的物质遗产如何改变珊瑚礁复原力的两个关键生态过程:食草动物控制大型藻类(珊瑚的空间竞争者)的能力,以及新珊瑚群的补充。我们的研究结果以我们长期研究地点的一次重大白化事件为基础,揭示了结构复杂的死亡骨架的存在使草皮藻类的食草量减少了约 80%。对于大型藻类来说,较不喜欢(不好吃)的类群的食草量减少了40%,而较喜欢的类群的食草量只减少了约10%。这使得不可食用的大型藻类在两年内达到了约 45% 的覆盖率。相比之下,食草动物阻止了大型藻类在缺乏骨架的邻近珊瑚礁上生长。对难食性大型藻类的控制表明,1 年后达到的覆盖率(约 20%)使珊瑚的新陈代谢减少了 50%。骨架对幼体珊瑚生长的影响取决于相对于干扰的定居时间。如果珊瑚在白化后直接定居(在大型藻类定居之前),死骨架会使珊瑚群的生长提高 34%,但如果珊瑚在干扰发生一年后大型藻类大量繁殖后定居死骨架,这种益处就会丧失。这些发现强调了不断变化的干扰制度所遗留的物质如何通过破坏形成干扰后群落动态的关键营养和竞争相互作用来改变生态系统的恢复力特性。
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引用次数: 0
Precipitation and temperature timings underlying bioclimatic variables rearrange under climate change globally 全球气候变化下生物气候变量的降水和温度时间重新安排
IF 10.8 1区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION Pub Date : 2024-09-13 DOI: 10.1111/gcb.17496
Ákos Bede-Fazekas, Imelda Somodi

Modeling how climate change may affect the potential distribution of species and communities typically utilizes bioclimatic variables. Distribution predictions rely on the values of the bioclimatic variable (e.g., precipitation of the wettest quarter). However, the ecological meaning of most of these variables depends strongly on the within-year position of a specific climate period (SCP), for example, the wettest quarter of the year, which is often overlooked. Our aim was to determine how the within-year position of the SCPs would shift (SCP shift) in reaction to climate change in a global context. We calculated the deviations of the future within-year position of the SCPs relative to the reference period. We used four future time periods, four scenarios, and four CMIP6 global climate models (GCMs) to provide an ensemble of expectations regarding SCP shifts and locate the spatial hotspots of the shifts. Also, the size and frequency of the SCP shifts were subjected to linear models to evaluate the importance of the impact modeler's decision on time period, scenario, and GCM. We found ample examples of SCP shifts exceeding 2 months, with 6-month shifts being predicted as well. Many areas in the tropics are expected to experience both temperature and precipitation-related shifts, but precipitation-related shifts are abundantly predicted for the temperate and arctic zones as well. The combined shifts at the Equator reinforce the likelihood of the emergence of no-analogue climates there. The shifts become more pronounced as time and scenario progress, while GCMs could not be ranked in a clear order in this respect. For most SCPs, the modeler's decision on the GCM was the least important, while the choice of time period was typically more important than the choice of scenario. Future predictive distribution models should account for SCP shifts and incorporate the phenomenon in the modeling efforts.

模拟气候变化如何影响物种和群落的潜在分布通常利用生物气候变量。分布预测依赖于生物气候变量的值(如最潮湿季度的降水量)。然而,大多数这些变量的生态意义在很大程度上取决于特定气候期(SCP)的年内位置,例如一年中最潮湿的季度,而这一点往往被忽视。我们的目标是确定在全球范围内,特定气候期的年内位置将如何随着气候变化而变化(特定气候期变化)。我们计算了未来 SCP 年内位置相对于参照期的偏差。我们使用了四个未来时段、四种情景和四个 CMIP6 全球气候模式(GCMs)来提供有关 SCP 移动的预期集合,并定位移动的空间热点。此外,我们还对 SCP 变化的规模和频率进行了线性建模,以评估影响建模者对时间段、情景和 GCM 决定的重要性。我们发现了大量 SCP 移动超过 2 个月的实例,也预测了 6 个月的移动。预计热带的许多地区都会经历与温度和降水相关的变化,但温带和北极地区也会出现大量与降水相关的变化。赤道地区的综合变化增加了那里出现无模拟气候的可能性。随着时间的推移和情景的变化,这些变化会变得更加明显,而在这方面,全球气候模式的排序并不清晰。对大多数 SCP 而言,建模者对 GCM 的决定最不重要,而对时间段的选择通常比对情景的选择更重要。未来的预测分布模型应考虑 SCP 的变化,并将这一现象纳入建模工作中。
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引用次数: 0
The influence of habitat alteration is widespread, but the impact of climate cannot continue to be discounted 生境改变的影响是广泛的,但气候的影响不能继续被忽视
IF 10.8 1区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION Pub Date : 2024-09-13 DOI: 10.1111/gcb.17497
Melanie Dickie, Robert Serrouya, Marcus Becker, Craig DeMars, Michael J. Noonan, Robin Steenweg, Stan Boutin, Adam T. Ford

In Dickie et al. (2024), we contrasted the effects of climate and habitat alteration on white-tailed deer density, recognizing the role of both these factors. Barnas et al.'s (2024) critique raised concerns about data transformations, model overfitting, and inference methods, but our analysis demonstrates that these criticisms are either unfounded or align with our original conclusions. We reaffirm that while both climate and habitat alteration contribute to deer densities, management decisions cannot ignore the strong role of climate, which is only predicted to increase in coming decades.

在 Dickie 等人(2024 年)的研究中,我们对比了气候和栖息地改变对白尾鹿密度的影响,认识到了这两个因素的作用。Barnas 等人(2024 年)的批评提出了对数据转换、模型过拟合和推断方法的担忧,但我们的分析表明,这些批评要么毫无根据,要么与我们最初的结论一致。我们重申,虽然气候和栖息地的改变都会对鹿的密度产生影响,但管理决策不能忽视气候的强大作用,而且据预测,未来几十年气候的影响只会越来越大。
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引用次数: 0
The influence of habitat alteration on density of invading white-tailed deer should not be discounted 不应忽视生境改变对入侵白尾鹿密度的影响
IF 10.8 1区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION Pub Date : 2024-09-13 DOI: 10.1111/gcb.17498
Andrew Barnas, Brad Anholt, A. Cole Burton, Kathleen Carroll, Steeve D. Côté, Marco Festa-Bianchet, John Fryxell, Martin-Hugues St-Laurent, Jason T. Fisher
<p>White-tailed deer (<i>Odocoileus virginianus</i>) range expansion into boreal forests facilitates wolf (<i>Canis lupus</i>) population growth in many parts of Canada and is associated with caribou (<i>Rangifer tarandus caribou</i>) declines (Latham et al., <span>2011</span>). Several works across Canada have demonstrated anthropogenic landscape change subsidizes forage available to white-tailed deer (Darlington et al., <span>2022</span>; Fisher et al., <span>2020</span>). However, recently Dickie et al. (<span>2024</span>) suggested instead climate is the primary driver of spatial variation in white-tailed deer density in Canada's boreal forest. These findings garnered significant media attention (CBC, <span>2024</span>; NPR, <span>2024</span>) with direct implications for conservation actions, specifically habitat protection and restoration efforts. We generally agree with the authors' conclusion that spatial variation in winter severity impacts deer population density, but we contend their conclusion on negligible impact of habitat alteration was compromised by their method of transforming explanatory variables and insufficient data for their model.</p><p>The resulting coefficients from regression analyses with min-max scaled variables are interpreted as the change in the response variable, with an increase in the explanatory variable from the lowest to highest observed value.</p><p>Here, variables are transformed to quantify the difference of each observation from the mean in terms of standard deviations, whereby the data distribution is scaled to a mean of zero and standard deviation of one. Regression coefficients from z-standardized data represent the estimated change in the response variable per one unit increase in explanatory variables, where one unit represents one standard deviation in the z-standardized data.</p><p>Both transformations improve direct comparison between regression coefficients for variables measured on different scales, but differences in the algebraic transformation have considerable impact on conclusions. To demonstrate that Dickie et al. (<span>2024</span>)'s conclusions are sensitive to transformations, we z-standardized their original data and re-ran their global model examining effects of several variables on white-tailed deer density. Using min-max scaling, the authors originally reported negative statistically significant effects of Climate Dimension 1 (<i>β</i> = −6.794 ± 2.523, <i>p</i> < .007) and negative but insignificant effect of % Habitat Alteration (<i>β</i> = −0.328 ± 2.060, P = 0.873) (their Table 2). However, when using z-standardized data, we found a different conclusion of approximately equal magnitude but opposing effects of Climate Dimension 1 (<i>β</i> = −0.907 ± 0.286, <i>p</i> < .002) and % Habitat Alteration (<i>β</i> = 0.926 ± 0.307, <i>p</i> < .003, Figure 1).</p><p>Importantly, Dickie et al. (<span>2024</span>) describe a large dataset: “<i>…300 remote cameras across 12 replic
白尾鹿(Odocoileus virginianus)的活动范围扩大到北方森林,促进了加拿大许多地区狼(Canis lupus)数量的增长,并与驯鹿(Rangifer tarandus caribou)数量的减少有关(Latham 等人,2011 年)。加拿大各地的一些研究表明,人为景观变化补贴了白尾鹿可用的饲料(Darlington 等人,2022 年;Fisher 等人,2020 年)。然而,最近 Dickie 等人(2024 年)提出,气候反而是加拿大北方森林白尾鹿密度空间变化的主要驱动因素。这些发现引起了媒体的极大关注(加拿大广播公司,2024 年;全国公共广播电台,2024 年),对保护行动,特别是栖息地保护和恢复工作产生了直接影响。我们基本同意作者的结论,即冬季严重程度的空间变化会影响鹿的种群密度,但我们认为他们关于栖息地改变的影响可以忽略不计的结论受到了他们转换解释变量的方法和模型数据不足的影响。使用最小-最大比例变量进行回归分析得出的系数被解释为响应变量的变化,即解释变量从最低观测值到最高观测值的增加。来自 z 标准化数据的回归系数表示解释变量每增加一个单位,反应变量的估计变化,其中一个单位表示 z 标准化数据中的一个标准差。两种变换都可以改善不同尺度测量变量回归系数之间的直接比较,但代数变换的不同会对结论产生相当大的影响。为了证明 Dickie 等人(2024 年)的结论对变换很敏感,我们对他们的原始数据进行了 z 标准化,并重新运行了他们的全局模型,考察了几个变量对白尾鹿密度的影响。使用最小-最大缩放比例,作者最初报告了气候维度 1 的负统计显著效应(β = -6.794 ± 2.523,P &lt; .007)和栖息地改变百分比的负但不显著效应(β = -0.328 ± 2.060,P = 0.873)(表 2)。然而,当使用 z 标准化数据时,我们发现了不同的结论,即气候维度 1(β = -0.907 ± 0.286,P &lt; .002)和栖息地改变百分比(β = 0.926 ± 0.307,P &lt; .003,图 1)的影响大小大致相同,但却相反:重要的是,Dickie 等人(2024 年)描述了一个大型数据集:"......在 5 年时间里,300 台远程相机在 12 个重复的 50 平方公里的地貌上进行拍摄","从 2017 年到 2021 年,相机诱捕器在 53506 到 96096 个诱捕日之间运行"。然而,作者将其响应变量折叠为每年每个相机群的单一平均密度估计值。包含七个固定效应(截距、三个 "直接 "效应和三个交互效应)和两个随机效应的全局模型仅依赖于 53 个数据点。按照每个处理至少 10 个观测点的宽松准则(Bolker 等人,2009 年),他们的模型没有足够的数据来稳健地估计感兴趣的参数。这很可能是表 2 中报告的标准误差较大的原因。作者承认估计值并不精确,但对气候与栖息地改变的解释却没有什么帮助。因此,我们构建了简化模型,证实气候和栖息地改变对预测鹿密度的影响大致相同,但却相反(补充材料 S1)。我们的重新分析表明,气候和栖息地改变都会推动白尾鹿的密度,但要正确估计这一点,还需要加拿大各地更广泛的数据。在地貌尺度上,解析这些变量的相对作用和相互作用是非常困难的。我们的重新分析表明,在不同的分析决策产生截然不同的结果后,可能会得出错误的结论(Gould 等,2023 年)。当结论在社会辩论中提出,并对政府当局的保护决策产生直接影响时(如林地驯鹿保护(CBC,2024 年)),这种情况尤其成问题。鉴于有效的保护行动取决于高质量的证据,因此必须仔细审查基于具体分析决定的关于哪些变量会影响或不会影响北方森林中白尾鹿密度的说法:构思;正式分析;写作--原稿;写作--审阅和编辑。布拉德-安霍尔特概念化;写作--原稿;写作--审阅和编辑。A. 科尔-伯顿概念化;写作--原稿;写作--审阅和编辑。
{"title":"The influence of habitat alteration on density of invading white-tailed deer should not be discounted","authors":"Andrew Barnas,&nbsp;Brad Anholt,&nbsp;A. Cole Burton,&nbsp;Kathleen Carroll,&nbsp;Steeve D. Côté,&nbsp;Marco Festa-Bianchet,&nbsp;John Fryxell,&nbsp;Martin-Hugues St-Laurent,&nbsp;Jason T. Fisher","doi":"10.1111/gcb.17498","DOIUrl":"https://doi.org/10.1111/gcb.17498","url":null,"abstract":"&lt;p&gt;White-tailed deer (&lt;i&gt;Odocoileus virginianus&lt;/i&gt;) range expansion into boreal forests facilitates wolf (&lt;i&gt;Canis lupus&lt;/i&gt;) population growth in many parts of Canada and is associated with caribou (&lt;i&gt;Rangifer tarandus caribou&lt;/i&gt;) declines (Latham et al., &lt;span&gt;2011&lt;/span&gt;). Several works across Canada have demonstrated anthropogenic landscape change subsidizes forage available to white-tailed deer (Darlington et al., &lt;span&gt;2022&lt;/span&gt;; Fisher et al., &lt;span&gt;2020&lt;/span&gt;). However, recently Dickie et al. (&lt;span&gt;2024&lt;/span&gt;) suggested instead climate is the primary driver of spatial variation in white-tailed deer density in Canada's boreal forest. These findings garnered significant media attention (CBC, &lt;span&gt;2024&lt;/span&gt;; NPR, &lt;span&gt;2024&lt;/span&gt;) with direct implications for conservation actions, specifically habitat protection and restoration efforts. We generally agree with the authors' conclusion that spatial variation in winter severity impacts deer population density, but we contend their conclusion on negligible impact of habitat alteration was compromised by their method of transforming explanatory variables and insufficient data for their model.&lt;/p&gt;&lt;p&gt;The resulting coefficients from regression analyses with min-max scaled variables are interpreted as the change in the response variable, with an increase in the explanatory variable from the lowest to highest observed value.&lt;/p&gt;&lt;p&gt;Here, variables are transformed to quantify the difference of each observation from the mean in terms of standard deviations, whereby the data distribution is scaled to a mean of zero and standard deviation of one. Regression coefficients from z-standardized data represent the estimated change in the response variable per one unit increase in explanatory variables, where one unit represents one standard deviation in the z-standardized data.&lt;/p&gt;&lt;p&gt;Both transformations improve direct comparison between regression coefficients for variables measured on different scales, but differences in the algebraic transformation have considerable impact on conclusions. To demonstrate that Dickie et al. (&lt;span&gt;2024&lt;/span&gt;)'s conclusions are sensitive to transformations, we z-standardized their original data and re-ran their global model examining effects of several variables on white-tailed deer density. Using min-max scaling, the authors originally reported negative statistically significant effects of Climate Dimension 1 (&lt;i&gt;β&lt;/i&gt; = −6.794 ± 2.523, &lt;i&gt;p&lt;/i&gt; &lt; .007) and negative but insignificant effect of % Habitat Alteration (&lt;i&gt;β&lt;/i&gt; = −0.328 ± 2.060, P = 0.873) (their Table 2). However, when using z-standardized data, we found a different conclusion of approximately equal magnitude but opposing effects of Climate Dimension 1 (&lt;i&gt;β&lt;/i&gt; = −0.907 ± 0.286, &lt;i&gt;p&lt;/i&gt; &lt; .002) and % Habitat Alteration (&lt;i&gt;β&lt;/i&gt; = 0.926 ± 0.307, &lt;i&gt;p&lt;/i&gt; &lt; .003, Figure 1).&lt;/p&gt;&lt;p&gt;Importantly, Dickie et al. (&lt;span&gt;2024&lt;/span&gt;) describe a large dataset: “&lt;i&gt;…300 remote cameras across 12 replic","PeriodicalId":175,"journal":{"name":"Global Change Biology","volume":null,"pages":null},"PeriodicalIF":10.8,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gcb.17498","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142231086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
How do drought and heat affect the response of soybean seed yield to elevated O3? An analysis of 15 seasons of free-air O3 concentration enrichment studies 干旱和高温如何影响大豆种子产量对高浓度 O3 的响应?对 15 季自由空气中 O3 浓度富集研究的分析
IF 10.8 1区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION Pub Date : 2024-09-12 DOI: 10.1111/gcb.17500
Shuai Li, Christopher M. Montes, Elise K. Aspray, Elizabeth A. Ainsworth

The coincidence of rising ozone concentrations ([O3]), increasing global temperatures, and drought episodes is expected to become more intense and frequent in the future. A better understanding of the responses of crop yield to elevated [O3] under different levels of drought and high temperature stress is, therefore, critical for projecting future food production potential. Using a 15-year open-air field experiment in central Illinois, we assessed the impacts of elevated [O3] coupled with variation in growing season temperature and water availability on soybean seed yield. Thirteen soybean cultivars were exposed to a wide range of season-long elevated [O3] in the field using free-air O3 concentration enrichment. Elevated [O3] treatments reduced soybean seed yield from as little as 5.3% in 2005 to 35.2% in 2010. Although cultivars differed in yield response to elevated [O3] (R), ranging from 17.5% to −76.4%, there was a significant negative correlation between R and O3 dosage. Soybean cultivars showed greater seed yield losses to elevated [O3] when grown at drier or hotter conditions compared to wetter or cooler years, because the hotter and drier conditions were associated with greater O3 treatment. However, year-to-year variation in weather conditions did not influence the sensitivity of soybean seed yield to a given increase in [O3]. Collectively, this study quantitatively demonstrates that, although drought conditions or warmer temperatures led to greater O3 treatment concentrations and O3-induced seed yield reduction, drought and temperature stress did not alter soybean's sensitivity to O3. Our results have important implications for modeling the effects of rising O3 pollution on crops and suggest that altering irrigation practices to mitigate O3 stress may not be effective in reducing crop sensitivity to O3.

预计未来臭氧浓度([O3])升高、全球气温升高和干旱的叠加将变得更加剧烈和频繁。因此,更好地了解不同程度的干旱和高温胁迫下作物产量对[O3]升高的反应对于预测未来粮食生产潜力至关重要。通过在伊利诺伊州中部进行为期 15 年的露天田间试验,我们评估了[O3]升高以及生长季温度和水分供应变化对大豆种子产量的影响。利用自由空气中的臭氧浓度富集技术,将 13 个大豆栽培品种暴露于大范围的季节性[O3]升高环境中。高浓度[O3]处理使大豆种子产量降低,从 2005 年的 5.3% 降至 2010 年的 35.2%。虽然栽培品种对高浓度[O3](R)的产量反应不同,从 17.5% 到 -76.4%,但 R 与 O3 剂量之间存在显著的负相关。与潮湿或凉爽的年份相比,大豆栽培品种在更干燥或更炎热的条件下生长时,[O3]升高造成的种子产量损失更大,因为更炎热和更干燥的条件与更大的 O3 处理量有关。然而,天气条件的年际变化并不影响大豆种子产量对特定 [O3] 增加的敏感性。总之,这项研究从数量上证明,虽然干旱或气温升高会导致更高的 O3 处理浓度和 O3 诱导的种子减产,但干旱和气温胁迫并不会改变大豆对 O3 的敏感性。我们的研究结果对模拟 O3 污染上升对作物的影响具有重要意义,并表明改变灌溉方法以减轻 O3 胁迫可能无法有效降低作物对 O3 的敏感性。
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引用次数: 0
More sensitive microbial responses to the interactive effects of warming and altered precipitation in subsoil than topsoil of an alpine grassland ecosystem 高寒草地生态系统底土比表土对气候变暖和降水量变化的相互作用的微生物反应更敏感
IF 10.8 1区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION Pub Date : 2024-09-10 DOI: 10.1111/gcb.17487
Qi Qi, Shijie Ning, Xue Guo, Jianshu Zhao, Renmao Tian, Haoran Gui, Jin-Sheng He, Hao Wang, Zhenhua Zhang, Konstantinos T. Konstantinidis, Qun Gao, Yuxin Wang, Shunyi Li, Weishu Zhao, Yunfeng Yang, Jizhong Zhou

Subsoil is a large organic carbon reservoir, storing more than half of the total soil organic carbon (SOC) globally. Conventionally, subsoil is assumed to not be susceptible to climate change, but recent studies document that climate change could significantly alter subsoil carbon cycling. However, little is known about subsoil microbial responses to the interactive effects of climate warming and altered precipitation. Here, we investigated carbon cycling and associated microbial responses in both subsoil (30–40 cm) and topsoil (0–10 cm) in a Tibetan alpine grassland over 4 years of warming and altered precipitation. Compared to the unchanged topsoil carbon (β = .55, p = .587), subsoil carbon exhibited a stronger response to the interactive effect of warming and altered precipitation (β = 2.04, p = .021), that is, warming decreased subsoil carbon content by 28.20% under decreased precipitation while warming increased subsoil carbon content by 18.02% under increased precipitation.Furthermore, 512 metagenome-assembled genomes (MAGs) were recovered, including representatives of phyla with poor genomic representation. Compared to only one changed topsoil MAG, 16 subsoil MAGs were significantly affected by altered precipitation, and 5 subsoil MAGs were significantly affected by the interactive effect of warming and precipitation. More than twice as many populations whose MAG abundances correlated significantly with the variations of carbon content, components and fluxes were observed in the subsoil than topsoil, suggesting their potential contribution in mediating subsoil carbon cycling. Collectively, our findings highlight the more sensitive responses of specific microbial lineages to the interactive effects of warming and altered precipitation in the subsoil than topsoil, and provide key information for predicting subsoil carbon cycling under future climate change scenarios.

底土是一个巨大的有机碳库,储存着全球一半以上的土壤有机碳(SOC)。人们通常认为底土不会受到气候变化的影响,但最近的研究表明,气候变化会显著改变底土的碳循环。然而,人们对底土微生物对气候变暖和降水变化的交互影响的反应知之甚少。在此,我们研究了西藏高寒草原在气候变暖和降水改变的 4 年中底土(30-40 厘米)和表土(0-10 厘米)的碳循环及相关微生物反应。与不变的表土碳(β = .55,p = .587)相比,底土碳在气候变暖和降水变化的交互作用下表现出更强的响应(β = 2.04,p = .021),即在降水减少的情况下,气候变暖使底土碳含量减少了 28.20%,而在降水增加的情况下,气候变暖使底土碳含量增加了 18.02%。与只有一个发生变化的表土基因组相比,16个底土基因组受到降水变化的显著影响,5个底土基因组受到气候变暖和降水交互作用的显著影响。在底土中观察到的 MAG 丰度与碳含量、碳组分和碳通量变化显著相关的种群数量是表土的两倍多,这表明它们在调解底土碳循环中的潜在贡献。总之,我们的研究结果突出表明,与表层土壤相比,底土中特定微生物种群对气候变暖和降水变化的交互影响反应更为敏感,这为预测未来气候变化情景下的底土碳循环提供了关键信息。
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引用次数: 0
Males miss and females forgo: Auditory masking from vessel noise impairs foraging efficiency and success in killer whales 雄性错过,雌性放弃:船只噪声的听觉掩蔽会影响虎鲸的觅食效率和成功率
IF 10.8 1区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION Pub Date : 2024-09-10 DOI: 10.1111/gcb.17490
Jennifer B. Tennessen, Marla M. Holt, Brianna M. Wright, M. Bradley Hanson, Candice K. Emmons, Deborah A. Giles, Jeffrey T. Hogan, Sheila J. Thornton, Volker B. Deecke

Understanding how the environment mediates an organism's ability to meet basic survival requirements is a fundamental goal of ecology. Vessel noise is a global threat to marine ecosystems and is increasing in intensity and spatiotemporal extent due to growth in shipping coupled with physical changes to ocean soundscapes from ocean warming and acidification. Odontocetes rely on biosonar to forage, yet determining the consequences of vessel noise on foraging has been limited by the challenges of observing underwater foraging outcomes and measuring noise levels received by individuals. To address these challenges, we leveraged a unique acoustic and movement dataset from 25 animal-borne biologging tags temporarily attached to individuals from two populations of fish-eating killer whales (Orcinus orca) in highly transited coastal waters to (1) test for the effects of vessel noise on foraging behaviors—searching (slow-click echolocation), pursuit (buzzes), and capture and (2) investigate the mechanism of interference. For every 1 dB increase in maximum noise level, there was a 4% increase in the odds of searching for prey by both sexes, a 58% decrease in the odds of pursuit by females and a 12.5% decrease in the odds of prey capture by both sexes. Moreover, all but one deep (≥75 m) foraging attempt with noise ≥110 dB re 1 μPa (15–45 kHz band; n = 6 dives by n = 4 whales) resulted in failed prey capture. These responses are consistent with an auditory masking mechanism. Our findings demonstrate the effects of vessel noise across multiple phases of odontocete foraging, underscoring the importance of managing anthropogenic inputs into soundscapes to achieve conservation objectives for acoustically sensitive species. While the timescales for recovering depleted prey species may span decades, these findings suggest that complementary actions to reduce ocean noise in the short term offer a critical pathway for recovering odontocete foraging opportunities.

了解环境如何影响生物体满足基本生存要求的能力是生态学的一个基本目标。船舶噪声是对海洋生态系统的全球性威胁,由于航运业的发展以及海洋变暖和酸化对海洋声景造成的物理变化,船舶噪声的强度和时空范围都在不断增加。齿鲸依靠生物声纳进行觅食,但由于观察水下觅食结果和测量个体接收到的噪声水平存在挑战,因此确定船舶噪声对觅食的影响一直受到限制。为了应对这些挑战,我们利用了一个独特的声学和运动数据集,该数据集来自在高度过境的沿岸水域的两个食鱼虎鲸种群的个体上临时附着的 25 个动物身上的生物声纳标签,目的是:(1)测试船只噪声对觅食行为--搜索(慢点击回声定位)、追逐(嗡嗡声)和捕获--的影响;(2)研究干扰机制。最大噪声水平每增加 1 分贝,雌雄个体搜寻猎物的几率增加 4%,雌性个体追逐猎物的几率减少 58%,雌雄个体捕获猎物的几率减少 12.5%。此外,在噪声≥110 dB re 1 μPa(15-45 kHz频带;n = 6次下潜,n = 4头鲸鱼)的情况下,除一次外,所有深海(≥75 m)觅食尝试均未能捕获猎物。这些反应与听觉掩蔽机制一致。我们的研究结果表明,船舶噪声对口鼻鲸觅食的多个阶段都有影响,强调了管理人为因素对声音景观的影响以实现声学敏感物种保护目标的重要性。虽然恢复枯竭的猎物物种的时间尺度可能长达几十年,但这些研究结果表明,在短期内减少海洋噪声的补充行动为恢复齿鲸的觅食机会提供了重要途径。
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Global Change Biology
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