Demographic rates and population viability of black bears in Louisiana

IF 4.3 1区 生物学 Q1 ECOLOGY Wildlife Monographs Pub Date : 2016-06-15 DOI:10.1002/wmon.1018
Jared S. Laufenberg, Joseph D. Clark, Michael J. Hooker, Carrie L. Lowe, Kaitlin C. O'Connell-Goode, Jesse C. Troxler, Maria M. Davidson, Michael J. Chamberlain, Richard B. Chandler
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The Recovery Plan states that a minimum of 2 populations must be viable (i.e., persistence probabilities over 100 years &gt;0.95), 1 in the Tensas River Basin and 1 in the Atchafalaya River Basin. Consequently, our objectives were to 1) estimate demographic rates of Louisiana black bear subpopulations, 2) develop data-driven stochastic population projection models, and 3) determine how different projection model assumptions affect population trajectories and predictions about long-term persistence. Our overall goal was to assess long-term persistence of the bear subpopulations in Louisiana, individually and as a whole. We collected data using varying combinations of non-invasive DNA sampling, live capture, winter den visits, and radio monitoring from 2002 to 2012 in the 4 areas currently supporting breeding subpopulations in Louisiana: Tensas River Basin (TRB), Upper Atchafalaya River Basin (UARB), Lower Atchafalaya River Basin (LARB), and a recently reintroduced population at the Three Rivers Complex (TRC). From 2002 to 2012, we radio monitored fates of 86 adult females within the TRB and 43 in the TRC. Mean estimates of annual adult survival for the TRB and TRC were 0.997 and 0.990, respectively, when unknown fates were assumed alive and 0.970 and 0.926 when unknown fates were assumed dead. From 2003 to 2013, we observed 130 cub litters from 74 females in the TRB, and 74 cub litters from 45 females in the TRC. During the same period, we observed 43 yearling litters for 33 females in the TRB and 21 yearling litters for 19 females in the TRC. The estimated number of cubs and number of yearlings produced per breeding adult female was 0.47 and 0.20, respectively, in the TRB and 0.32 and 0.18 in the TRC. On the basis of matrix projection models, asymptotic growth rates ranged from 1.053 to 1.078 for the TRB and from 1.005 to 1.062 for the TRC, depending on how we treated unresolved fates of adult females. Persistence probabilities estimated from stochastic population models based on telemetry data ranged from 0.997 to 0.998 for the TRC subpopulation depending on model assumptions and were &gt;0.999 for the TRB regardless of model assumptions. We extracted DNA from hair collected at baited, barbed-wire enclosures in the TRB, UARB, and LARB to determine individual identities for capture-mark-recapture (CMR) analysis. We used those detection histories to estimate apparent survival (<i>φ</i>), per-capita recruitment (<i>f</i>), abundance (<i>N</i>), realized growth rate (<i>λ</i>), and long-term viability, based on Bayesian hierarchical modeling methods that allowed estimation of temporal process variance and parameter uncertainty. Based on 23,312 hair samples, annual <i>N</i> for females in the TRB ranged from 133 to 164 during 2006–2012, depending on year and how detection heterogeneity was modeled. Geometric mean of <i>λ</i> ranged from 0.996 to 1.002. In the UARB, we collected 11,643 hair samples from 2007 to 2012, from which estimates of <i>N</i> for females ranged from 23 to 43 during the study period, depending on detection heterogeneity model. The geometric mean of <i>λ</i> ranged from 1.038 to 1.059. Estimated <i>N</i> for females in LARB ranged from 69 to 96, and annual <i>λ</i> ranged from 0.80 to 1.11 based on 3,698 hair samples collected during 2010–2012, also depending on year and heterogeneity model. Probabilities of persistence over 100 years for the TRC and TRB based on stochastic matrix projection models that used vital rate estimates from telemetry data were &gt;0.95 for all scenarios. Probability of persistence at the TRB and the UARB based on projection models that used vital rate estimates from CMR analyses ranged from 0.928 to 0.954 and from 0.906 to 0.959, respectively, depending on model assumptions. Data from the LARB were insufficient for a viability assessment. Thus, individual persistence probabilities for TRB and UARB did not meet the strict definition of viability (i.e., &gt;0.95) under some model assumptions. 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引用次数: 73

Abstract

The Louisiana black bear (Ursus americanus luteolus) was reduced to a few small, fragmented, and isolated subpopulations in the Lower Mississippi Alluvial Valley by the mid-twentieth century resulting from loss and fragmentation of habitat. In 1992, the United States Fish and Wildlife Service (USFWS) granted the Louisiana black bear threatened status under the United States Endangered Species Act of 1973. Since that time, a recovery plan was developed, a reintroduced population was established, and habitat recovery has occurred. The Recovery Plan states that a minimum of 2 populations must be viable (i.e., persistence probabilities over 100 years >0.95), 1 in the Tensas River Basin and 1 in the Atchafalaya River Basin. Consequently, our objectives were to 1) estimate demographic rates of Louisiana black bear subpopulations, 2) develop data-driven stochastic population projection models, and 3) determine how different projection model assumptions affect population trajectories and predictions about long-term persistence. Our overall goal was to assess long-term persistence of the bear subpopulations in Louisiana, individually and as a whole. We collected data using varying combinations of non-invasive DNA sampling, live capture, winter den visits, and radio monitoring from 2002 to 2012 in the 4 areas currently supporting breeding subpopulations in Louisiana: Tensas River Basin (TRB), Upper Atchafalaya River Basin (UARB), Lower Atchafalaya River Basin (LARB), and a recently reintroduced population at the Three Rivers Complex (TRC). From 2002 to 2012, we radio monitored fates of 86 adult females within the TRB and 43 in the TRC. Mean estimates of annual adult survival for the TRB and TRC were 0.997 and 0.990, respectively, when unknown fates were assumed alive and 0.970 and 0.926 when unknown fates were assumed dead. From 2003 to 2013, we observed 130 cub litters from 74 females in the TRB, and 74 cub litters from 45 females in the TRC. During the same period, we observed 43 yearling litters for 33 females in the TRB and 21 yearling litters for 19 females in the TRC. The estimated number of cubs and number of yearlings produced per breeding adult female was 0.47 and 0.20, respectively, in the TRB and 0.32 and 0.18 in the TRC. On the basis of matrix projection models, asymptotic growth rates ranged from 1.053 to 1.078 for the TRB and from 1.005 to 1.062 for the TRC, depending on how we treated unresolved fates of adult females. Persistence probabilities estimated from stochastic population models based on telemetry data ranged from 0.997 to 0.998 for the TRC subpopulation depending on model assumptions and were >0.999 for the TRB regardless of model assumptions. We extracted DNA from hair collected at baited, barbed-wire enclosures in the TRB, UARB, and LARB to determine individual identities for capture-mark-recapture (CMR) analysis. We used those detection histories to estimate apparent survival (φ), per-capita recruitment (f), abundance (N), realized growth rate (λ), and long-term viability, based on Bayesian hierarchical modeling methods that allowed estimation of temporal process variance and parameter uncertainty. Based on 23,312 hair samples, annual N for females in the TRB ranged from 133 to 164 during 2006–2012, depending on year and how detection heterogeneity was modeled. Geometric mean of λ ranged from 0.996 to 1.002. In the UARB, we collected 11,643 hair samples from 2007 to 2012, from which estimates of N for females ranged from 23 to 43 during the study period, depending on detection heterogeneity model. The geometric mean of λ ranged from 1.038 to 1.059. Estimated N for females in LARB ranged from 69 to 96, and annual λ ranged from 0.80 to 1.11 based on 3,698 hair samples collected during 2010–2012, also depending on year and heterogeneity model. Probabilities of persistence over 100 years for the TRC and TRB based on stochastic matrix projection models that used vital rate estimates from telemetry data were >0.95 for all scenarios. Probability of persistence at the TRB and the UARB based on projection models that used vital rate estimates from CMR analyses ranged from 0.928 to 0.954 and from 0.906 to 0.959, respectively, depending on model assumptions. Data from the LARB were insufficient for a viability assessment. Thus, individual persistence probabilities for TRB and UARB did not meet the strict definition of viability (i.e., >0.95) under some model assumptions. However, the joint probability of bears persisting either in the TRB or UARB was >0.993 assuming individual population dynamics were independent and was >0.958 assuming dynamics were perfectly correlated. Furthermore, including the TRC increased the joint probability of bears persisting somewhere in the TRB, UARB, or TRC to >0.999 based on the most pessimistic individual persistence estimates from those subpopulations. Therefore, if the intent of specifying that 2 subpopulations should be viable was to ensure the persistence of Louisiana black bears somewhere within its historical range, then the viability threshold was met. © 2016 The Wildlife Society.

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路易斯安那州黑熊的人口比率和种群生存能力
路易斯安那黑熊(Ursus americanus luteolus)由于栖息地的丧失和破碎,到20世纪中叶,在密西西比冲积河谷下游减少到几个小的、分散的和孤立的亚种群。1992年,美国鱼类和野生动物管理局(USFWS)根据1973年的美国濒危物种法案,将路易斯安那黑熊列为受威胁物种。从那时起,制定了一项恢复计划,重新引入了种群,栖息地也得到了恢复。恢复计划指出,至少有两个种群必须是可行的(即,持续概率超过100年&gt;0.95),一个在Tensas河流域,一个在Atchafalaya河流域。因此,我们的目标是1)估计路易斯安那州黑熊亚种群的人口比率,2)开发数据驱动的随机种群预测模型,以及3)确定不同的预测模型假设如何影响种群轨迹和对长期持久性的预测。我们的总体目标是评估路易斯安那州熊亚群的长期持久性,无论是个体还是整体。从2002年到2012年,我们采用非侵入性DNA取样、现场捕获、冬季巢穴巡查和无线电监测等不同组合的方法收集了路易斯安那州目前支持繁殖亚种群的4个地区的数据:田纳西河流域(TRB)、上阿查法拉亚河流域(UARB)、下阿查法拉亚河流域(LARB),以及最近在三河复群(TRC)重新引入的种群。从2002年到2012年,我们无线电监测了TRB内86只成年雌性和TRC内43只成年雌性的命运。假设未知命运为活着时,TRB和TRC的年平均成人生存率分别为0.997和0.990;假设未知命运为死亡时,TRB和TRC的年平均成人生存率分别为0.970和0.926。从2003年到2013年,我们在藏区观察到74只母熊产下130窝幼崽,在藏区观察到45只母熊产下74窝幼崽。在同一时期,我们在TRB和TRC分别观察了33只母鼠和19只母鼠的43窝幼崽。在TRB和TRC中,每只繁殖成年母熊的幼崽和幼崽数量分别为0.47和0.20,而在TRC中分别为0.32和0.18。在矩阵投影模型的基础上,根据我们如何处理成年女性未解决的命运,TRB的渐近增长率在1.053至1.078之间,TRC的渐近增长率在1.05至1.062之间。基于遥测数据的随机种群模型估计的TRC亚种群的持续概率在0.997 ~ 0.998之间,与模型假设无关,TRB的持续概率为&gt;0.999。我们从TRB, UARB和LARB的诱饵,铁丝网围栏收集的头发中提取DNA,以确定捕获-标记-再捕获(CMR)分析的个体身份。我们使用这些检测历史来估计表观生存(φ)、人均招募(f)、丰度(N)、实现增长率(λ)和长期生存能力,基于贝叶斯分层建模方法,可以估计时间过程方差和参数不确定性。基于23,312份头发样本,2006-2012年期间TRB女性的年N值在133到164之间,这取决于年份和检测异质性的建模方式。λ的几何平均值为0.996 ~ 1.002。在UARB中,我们从2007年到2012年收集了11,643份头发样本,根据检测异质性模型,研究期间女性N的估计值在23到43之间。λ的几何平均值为1.038 ~ 1.059。根据2010-2012年收集的3,698份头发样本,LARB中女性的估计N在69 ~ 96之间,λ的年值在0.80 ~ 1.11之间,这也取决于年份和异质性模型。基于随机矩阵投影模型的TRC和TRB在所有情景下持续100年的概率为0.95。该模型使用遥测数据估算的生命速率。基于基于CMR分析的生命率估算的预测模型,TRB和UARB的持续概率分别在0.928 ~ 0.954和0.906 ~ 0.959之间,取决于模型假设。LARB的数据不足以进行生存能力评估。因此,在某些模型假设下,TRB和UARB的个体持久性概率不符合生存力的严格定义(即&gt;0.95)。然而,假设个体种群动态独立,熊在TRB或UARB中生存的联合概率为&gt;0.993;假设动态完全相关,熊在TRB或UARB中生存的联合概率为&gt;0.958。此外,根据最悲观的个体持久性估计,包括TRC将熊在TRB, UARB或TRC中的某个地方持续存在的联合概率提高到&gt;0.999。 因此,如果指定2个亚种群应该是可行的目的是确保路易斯安那黑熊在其历史范围内的某个地方持续存在,那么生存能力阈值就满足了。©2016野生动物协会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Wildlife Monographs
Wildlife Monographs 生物-动物学
CiteScore
9.10
自引率
0.00%
发文量
3
审稿时长
>12 weeks
期刊介绍: Wildlife Monographs supplements The Journal of Wildlife Management with focused investigations in the area of the management and conservation of wildlife. Abstracting and Indexing Information Academic Search Alumni Edition (EBSCO Publishing) Agricultural & Environmental Science Database (ProQuest) Biological Science Database (ProQuest) CAB Abstracts® (CABI) Earth, Atmospheric & Aquatic Science Database (ProQuest) Global Health (CABI) Grasslands & Forage Abstracts (CABI) Helminthological Abstracts (CABI) Natural Science Collection (ProQuest) Poultry Abstracts (CABI) ProQuest Central (ProQuest) ProQuest Central K-543 Research Library (ProQuest) Research Library Prep (ProQuest) SciTech Premium Collection (ProQuest) Soils & Fertilizers Abstracts (CABI) Veterinary Bulletin (CABI)
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