照相机陷阱成功捕获食肉动物和猎物在弗吉尼亚州的塔兹韦尔县

D. Chambers, J. Vance
{"title":"照相机陷阱成功捕获食肉动物和猎物在弗吉尼亚州的塔兹韦尔县","authors":"D. Chambers, J. Vance","doi":"10.25778/MXDR-D985","DOIUrl":null,"url":null,"abstract":"Obtaining basic ecological information on occurrence and activity levels in cryptic and elusive species is often difficult. Camera trapping provides a relatively inexpensive opportunity to acquire such data. We used infraredtriggered cameras to assess trap success and activity levels of several species across four consecutive seasons, including: Ursus americanus (black bear), Lynx rufus (bobcat), Canis latrans (coyote), Vulpes vulpes (red fox), Urocyon cinereoargenteus (gray fox), Procyon lotor (raccoon), Odocoileus virginianus (white-tailed deer), Didelphis virginiana (opossum), Sciurus carolinensis (gray squirrel), and Meleagris gallopavo (wild turkey). With a total of 396 trap nights (TN) at one station over the span of four consecutive seasons, overall trap success rate was 86.87 captures per 100 TN. Trap success was highest in wild turkeys (31.57/100 TN), followed by raccoons (15.66/100 TN), gray squirrels (10.86/100 TN), gray foxes (8.59/100 TN), white-tailed deer (8.08/100 TN), opossums (5.56/100 TN), coyotes (1.52/100 TN), red foxes (1.26/100 TN), and bobcats (0.76/100 TN). Overall trap success significantly varied across all target species combined (Kruskal Wallis ChiSquare = 349, d.f. = 10, p < 0.0001). However, trap success did not vary across all seasons for all target species combined (Kruskal Wallis Chi-Square = 0.99, d.f. = 3, p = 0.78). This study is the first to use camera trapping to examine species presence and activity levels in a longitudinal manner for cryptic and elusive species of southwest Virginia. INTRODUCTION Camera trapping is an excellent non-invasive tool for identifying cryptic or elusive species (Yasuda, 2004; Rowcliffe et al. 2008). While this approach to elusive species identification is not a recent revelation in ecological methodologies (e.g., Chapman, 1927), camera trap usage has picked up momentum in recent years (Karanth and Nichols, 1998). In fact, published papers utilizing some degree of camera trapping have seen an estimated 50% annual growth over the past decade (Rowcliffe and Carbone, Corresponding author: David L. Chambers chambersdl@longwood.edu 130 VIRGINIA JOURNAL OF SCIENCE 2008). Much of this growth can be attributed to increased technological and analytical advances that allow ecologists to determine population densities, dispersal behaviors, and relative abundance – all from a distance (Karanth and Nichols, 2000; Kelly et al. 2012). Trap success is one common index of activity level that can be obtained using camera trap data. Trap success calculated per species can provide insight into species presence or, at a more interactive scale, potential species interactions among predators/prey (Kelly and Holub, 2008), despite recent debate about its use as an index of abundance (Anderson, 2003; O’Brien et al., 2003). Regardless of debate, it is impractical to ignore the importance of understanding predator/prey dynamics particularly in the wake of increasing anthropogenic disturbances that are altering natural community composition and interactions (Sala et al., 2000; Walker et al., 2005). Thus, the value of camera trapping becomes magnified for elusive species that act as predators and/or prey in their respective systems. Such value is further magnified when camera trapping is employed in highly understudied locations, such as Virginia, in order to elucidate cryptic species interactions. Our study used camera trapping to survey medium to large-sized mammalian and terrestrial avian species known to occur at our study site. Specifically, we targeted Ursus americanus (black bear), Lynx rufus (bobcat), Canis latrans (coyote), Vulpes vulpes (red fox), Urocyon cinereoargenteus (gray fox), Procyon lotor (raccoon), Odocoileus virginianus (white-tailed deer), Didelphis virginiana (opossum), Sciurus carolinensis (gray squirrel), and Meleagris gallopavo (wild turkey). We report overall and seasonal trap success for each target species in the understudied state of Virginia. MATERIALS AND METHODS Our study site was located on private property in Tazewell County, near the town of Richlands, Virginia (Fig. 1). The site is situated at approximately 615 m in elevation within a mostly deciduous forest. Trap camera location (one station) was along a fence that bisected a north-facing forested hillside consisting of predominately yellow poplar (Liriodendron tulipifera). However, northern red oak (Quercus rubra), white oak (Q. alba), American ash (Fraxinus americana), and eastern red cedar (Juniperus virginiana) were also in the adjacent area. Cameras were mounted approximately 80 cm above the ground in a location that would funnel animals in the pathway of the lens that was approximately 3 m away. Two types of cameras were used throughout the duration of this study: a StealthCam MC2-G and a DeerCam 200, both of which are passive infrared-triggered 35 mm film cameras. These cameras are triggered by heat and motion detectors. The StealthCam MC2-G, programmed with 1 min intervals between each image capture, was used from 1 October 2005 to 25 January 2006. The DeerCam 200, programmed with 15 sec intervals between each image capture, was used from 26 January 2006 until the end of the study. Both cameras, when active separately, were active 24 hours a day. Cameras were routinely checked for basic maintenance and battery and film replacement. No bait or lures were used to attract target species. No camera malfunctions were noted throughout this longitudinal study. Trap success for each targeted species was calculated as the number of trap events per 100 trap-nights. In order to prevent duplicate counting of images taken over short periods of time (i.e., less than 30 min apart; Kelly, 2003; Silver et al., 2004), date/time Camera Trapping in Tazewell County 131 stamps on each photograph and individual animal size, position, and markings were examined. Special care was taken to accurately estimate the number of wild turkeys (M . gallopavo) for each camera trap event since they periodically appear as a flock that, subsequently, triggered multiple image captures. Because data did not meet assumptions of normality, nonparametric statistical analyses were conducted. Specifically, we used a nonparametric Kruskal-Wallis test to compare overall trap success amongst all targeted species to compare trap success among seasons for each target species. We conducted this study over an entire year, thus all four seasons are represented. Spring season consists of March, April, and May image captures. Summer season reflects image captures from June to August. Fall season includes all image captures from September to November. Finally, winter season includes all image captures from December to February. All statistical analyses were conducting using SAS JMP 9.0 (SAS Institute, Cary, North Carolina). RESULTS In total, we photographed nine species (eight mammals and one bird) without the use of lures or baits. Specifically, six (bobcat, coyote, red fox, gray fox, raccoon, and opossum) are considered to be predatory species while the remaining three (white-tailed deer, gray squirrel, and wild turkey) are considered to be prey. We amassed a total of 396 trap nights (TN) and recorded 344 trap events, with a total of 637 target animal photographs (Table 1). Overall trap success for all animals photographed was 86.87 per FIGURE 1. Study site location. 132 VIRGINIA JOURNAL OF SCIENCE 100 TN (Table 1). In terms of individual species contributing to successful trap events, the majority of raw photographic events were M. gallopavo (wild turkey; 36.34%), followed by P. lotor (raccoon; 18.02%), S. carolinensis (gray squirrel; 12.5%), U. cinereoargenteus (gray fox; 9.88%), O. virginianus (white-tailed deer; 9.3%), D. virginiana (opossum; 6.4%), C. latrans (coyote; 1.74%), V. vulpes (red fox; 1.45%), and L. rufus (bobcat; 0.87%). No U. americanus (black bear) were photographed. Trap success significantly varied across all targeted animals (Kruskal Wallis ChiSquare = 349, d.f. = 10, p < 0.0001) (Fig. 2). Trap success was highest in M. gallopavo (wild turkey; 31.57/100 TN). Procyon lotor (raccoon; 15.66/100 TN) had the second highest trap success, followed by S. carolinensis (gray squirrel; 10.86/100 TN), U. cinereoargenteus (gray fox; 8.59/100 TN), O. virginianus (white-tailed deer; 8.08/100 TN), D. virginiana (opossum; 5.56/100 TN), unknown/unidentifiable photographs due to poor quality (3.03/100 TN), C. latrans (coyote; 1.52/100 TN), V. vulpes (red fox; 1.26/100 TN), and L. rufus (bobcat; 0.76/100 TN). Trap success did not significantly vary across seasons for all targeted species combined (Kruskal Wallis Chi-Square = 0.99, d.f. = 3, p = 0.78)(Fig. 3.). Unfortunately, rigorous comparisons of seasonal trap success within each individual targeted species were not possible due to low sample sizes among individual seasons. TABLE 1. Total number of trap events, number of animals photographed, and overall trap success. Species (common name) Total number of trap events Total number of","PeriodicalId":23516,"journal":{"name":"Virginia journal of science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Camera Trap Success Among Carnivores and Prey Animals in Tazewell County, Virginia\",\"authors\":\"D. Chambers, J. Vance\",\"doi\":\"10.25778/MXDR-D985\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Obtaining basic ecological information on occurrence and activity levels in cryptic and elusive species is often difficult. Camera trapping provides a relatively inexpensive opportunity to acquire such data. We used infraredtriggered cameras to assess trap success and activity levels of several species across four consecutive seasons, including: Ursus americanus (black bear), Lynx rufus (bobcat), Canis latrans (coyote), Vulpes vulpes (red fox), Urocyon cinereoargenteus (gray fox), Procyon lotor (raccoon), Odocoileus virginianus (white-tailed deer), Didelphis virginiana (opossum), Sciurus carolinensis (gray squirrel), and Meleagris gallopavo (wild turkey). With a total of 396 trap nights (TN) at one station over the span of four consecutive seasons, overall trap success rate was 86.87 captures per 100 TN. Trap success was highest in wild turkeys (31.57/100 TN), followed by raccoons (15.66/100 TN), gray squirrels (10.86/100 TN), gray foxes (8.59/100 TN), white-tailed deer (8.08/100 TN), opossums (5.56/100 TN), coyotes (1.52/100 TN), red foxes (1.26/100 TN), and bobcats (0.76/100 TN). Overall trap success significantly varied across all target species combined (Kruskal Wallis ChiSquare = 349, d.f. = 10, p < 0.0001). However, trap success did not vary across all seasons for all target species combined (Kruskal Wallis Chi-Square = 0.99, d.f. = 3, p = 0.78). This study is the first to use camera trapping to examine species presence and activity levels in a longitudinal manner for cryptic and elusive species of southwest Virginia. INTRODUCTION Camera trapping is an excellent non-invasive tool for identifying cryptic or elusive species (Yasuda, 2004; Rowcliffe et al. 2008). While this approach to elusive species identification is not a recent revelation in ecological methodologies (e.g., Chapman, 1927), camera trap usage has picked up momentum in recent years (Karanth and Nichols, 1998). In fact, published papers utilizing some degree of camera trapping have seen an estimated 50% annual growth over the past decade (Rowcliffe and Carbone, Corresponding author: David L. Chambers chambersdl@longwood.edu 130 VIRGINIA JOURNAL OF SCIENCE 2008). Much of this growth can be attributed to increased technological and analytical advances that allow ecologists to determine population densities, dispersal behaviors, and relative abundance – all from a distance (Karanth and Nichols, 2000; Kelly et al. 2012). Trap success is one common index of activity level that can be obtained using camera trap data. Trap success calculated per species can provide insight into species presence or, at a more interactive scale, potential species interactions among predators/prey (Kelly and Holub, 2008), despite recent debate about its use as an index of abundance (Anderson, 2003; O’Brien et al., 2003). Regardless of debate, it is impractical to ignore the importance of understanding predator/prey dynamics particularly in the wake of increasing anthropogenic disturbances that are altering natural community composition and interactions (Sala et al., 2000; Walker et al., 2005). Thus, the value of camera trapping becomes magnified for elusive species that act as predators and/or prey in their respective systems. Such value is further magnified when camera trapping is employed in highly understudied locations, such as Virginia, in order to elucidate cryptic species interactions. Our study used camera trapping to survey medium to large-sized mammalian and terrestrial avian species known to occur at our study site. Specifically, we targeted Ursus americanus (black bear), Lynx rufus (bobcat), Canis latrans (coyote), Vulpes vulpes (red fox), Urocyon cinereoargenteus (gray fox), Procyon lotor (raccoon), Odocoileus virginianus (white-tailed deer), Didelphis virginiana (opossum), Sciurus carolinensis (gray squirrel), and Meleagris gallopavo (wild turkey). We report overall and seasonal trap success for each target species in the understudied state of Virginia. MATERIALS AND METHODS Our study site was located on private property in Tazewell County, near the town of Richlands, Virginia (Fig. 1). The site is situated at approximately 615 m in elevation within a mostly deciduous forest. Trap camera location (one station) was along a fence that bisected a north-facing forested hillside consisting of predominately yellow poplar (Liriodendron tulipifera). However, northern red oak (Quercus rubra), white oak (Q. alba), American ash (Fraxinus americana), and eastern red cedar (Juniperus virginiana) were also in the adjacent area. Cameras were mounted approximately 80 cm above the ground in a location that would funnel animals in the pathway of the lens that was approximately 3 m away. Two types of cameras were used throughout the duration of this study: a StealthCam MC2-G and a DeerCam 200, both of which are passive infrared-triggered 35 mm film cameras. These cameras are triggered by heat and motion detectors. The StealthCam MC2-G, programmed with 1 min intervals between each image capture, was used from 1 October 2005 to 25 January 2006. The DeerCam 200, programmed with 15 sec intervals between each image capture, was used from 26 January 2006 until the end of the study. Both cameras, when active separately, were active 24 hours a day. Cameras were routinely checked for basic maintenance and battery and film replacement. No bait or lures were used to attract target species. No camera malfunctions were noted throughout this longitudinal study. Trap success for each targeted species was calculated as the number of trap events per 100 trap-nights. In order to prevent duplicate counting of images taken over short periods of time (i.e., less than 30 min apart; Kelly, 2003; Silver et al., 2004), date/time Camera Trapping in Tazewell County 131 stamps on each photograph and individual animal size, position, and markings were examined. Special care was taken to accurately estimate the number of wild turkeys (M . gallopavo) for each camera trap event since they periodically appear as a flock that, subsequently, triggered multiple image captures. Because data did not meet assumptions of normality, nonparametric statistical analyses were conducted. Specifically, we used a nonparametric Kruskal-Wallis test to compare overall trap success amongst all targeted species to compare trap success among seasons for each target species. We conducted this study over an entire year, thus all four seasons are represented. Spring season consists of March, April, and May image captures. Summer season reflects image captures from June to August. Fall season includes all image captures from September to November. Finally, winter season includes all image captures from December to February. All statistical analyses were conducting using SAS JMP 9.0 (SAS Institute, Cary, North Carolina). RESULTS In total, we photographed nine species (eight mammals and one bird) without the use of lures or baits. Specifically, six (bobcat, coyote, red fox, gray fox, raccoon, and opossum) are considered to be predatory species while the remaining three (white-tailed deer, gray squirrel, and wild turkey) are considered to be prey. We amassed a total of 396 trap nights (TN) and recorded 344 trap events, with a total of 637 target animal photographs (Table 1). Overall trap success for all animals photographed was 86.87 per FIGURE 1. Study site location. 132 VIRGINIA JOURNAL OF SCIENCE 100 TN (Table 1). In terms of individual species contributing to successful trap events, the majority of raw photographic events were M. gallopavo (wild turkey; 36.34%), followed by P. lotor (raccoon; 18.02%), S. carolinensis (gray squirrel; 12.5%), U. cinereoargenteus (gray fox; 9.88%), O. virginianus (white-tailed deer; 9.3%), D. virginiana (opossum; 6.4%), C. latrans (coyote; 1.74%), V. vulpes (red fox; 1.45%), and L. rufus (bobcat; 0.87%). No U. americanus (black bear) were photographed. Trap success significantly varied across all targeted animals (Kruskal Wallis ChiSquare = 349, d.f. = 10, p < 0.0001) (Fig. 2). Trap success was highest in M. gallopavo (wild turkey; 31.57/100 TN). Procyon lotor (raccoon; 15.66/100 TN) had the second highest trap success, followed by S. carolinensis (gray squirrel; 10.86/100 TN), U. cinereoargenteus (gray fox; 8.59/100 TN), O. virginianus (white-tailed deer; 8.08/100 TN), D. virginiana (opossum; 5.56/100 TN), unknown/unidentifiable photographs due to poor quality (3.03/100 TN), C. latrans (coyote; 1.52/100 TN), V. vulpes (red fox; 1.26/100 TN), and L. rufus (bobcat; 0.76/100 TN). Trap success did not significantly vary across seasons for all targeted species combined (Kruskal Wallis Chi-Square = 0.99, d.f. = 3, p = 0.78)(Fig. 3.). Unfortunately, rigorous comparisons of seasonal trap success within each individual targeted species were not possible due to low sample sizes among individual seasons. TABLE 1. Total number of trap events, number of animals photographed, and overall trap success. Species (common name) Total number of trap events Total number of\",\"PeriodicalId\":23516,\"journal\":{\"name\":\"Virginia journal of science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Virginia journal of science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25778/MXDR-D985\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Virginia journal of science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25778/MXDR-D985","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

StealthCam MC2-G在2005年10月1日至2006年1月25日期间使用,每次图像捕获间隔1分钟。DeerCam 200从2006年1月26日开始使用,每次图像捕获间隔15秒。当两个摄像头分别激活时,它们一天24小时都处于激活状态。相机例行检查,进行基本维护,更换电池和胶卷。未使用鱼饵引诱目标鱼种。在整个纵向研究中没有发现相机故障。每个目标物种的诱捕成功率以每100个诱捕夜的诱捕事件数计算。为了防止在短时间内(即间隔少于30分钟)拍摄的图像重复计数;凯利,2003;Silver et al., 2004),日期/时间在Tazewell县捕获相机,检查了每张照片上的131枚邮票和单个动物的大小、位置和标记。特别注意准确估计野生火鸡的数量(M。(Gallopavo),因为它们周期性地成群出现,随后触发多次图像捕获。由于数据不符合正态性假设,因此进行了非参数统计分析。具体而言,我们使用非参数Kruskal-Wallis检验来比较所有目标物种的总体诱捕成功率,并比较每个目标物种在不同季节的诱捕成功率。我们在一整年的时间里进行了这项研究,因此四个季节都有代表。春季包括三月,四月和五月的图像捕获。夏季反映了从6月到8月的图像捕获。秋季包括从9月到11月拍摄的所有图像。最后,冬季包括从12月到2月的所有图像。所有统计分析均使用SAS JMP 9.0 (SAS Institute, Cary, North Carolina)进行。结果在未使用诱饵的情况下,共捕获动物9种(哺乳动物8种,鸟类1种)。具体来说,六种(山猫、土狼、红狐、灰狐、浣熊和负鼠)被认为是掠食性物种,而其余三种(白尾鹿、灰松鼠和野生火鸡)被认为是猎物。我们总共收集了396个陷阱之夜(TN),记录了344个陷阱事件,总共拍摄了637张目标动物照片(表1)。所有动物的陷阱成功率为86.87(图1)。研究地点。132 VIRGINIA JOURNAL OF SCIENCE 100 TN(表1)。就成功捕获事件的个体物种而言,大多数原始摄影事件是M. gallopavo(野生火鸡;36.34%),其次为浣熊P. lotor;18.02%), S. carolinensis(灰松鼠;12.5%),灰狐;9.88%),白尾鹿;9.3%), D. virginia(负鼠;6.4%),土狼;1.74%), V. vulpes(赤狐;1.45%),山猫;0.87%)。没有美国黑熊被拍到。陷阱成功率在所有目标动物之间差异显著(Kruskal Wallis chissquared = 349, d.f = 10, p < 0.0001)(图2)。陷阱成功率最高的是M. gallopavo(野生火鸡;31.57/100 TN)。浣熊;15.66/100 TN)的捕集成功率次之,其次为卡罗来纳鼠(灰松鼠;10.86/100 TN), U. cinereogenteus(灰狐;8.59/100 TN), O. virginianus(白尾鹿;8.08/100 TN), D. virginia(负鼠;5.56/100 TN),由于质量差导致的未知/无法识别的照片(3.03/100 TN), C. latrans(土狼;1.52/100 TN), V. vulpes(红狐;1.26/100 TN), L. rufus(山猫;0.76/100 TN)。所有目标物种组合的诱捕成功率在不同季节没有显著变化(Kruskal - Wallis卡方= 0.99,d.f = 3, p = 0.78)。3)。不幸的是,由于单个季节的样本量小,不可能对每个目标物种的季节性诱捕成功进行严格的比较。表1。捕获事件总数、拍摄动物数量和捕获成功率。物种(通用名称)trap事件总数
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Camera Trap Success Among Carnivores and Prey Animals in Tazewell County, Virginia
Obtaining basic ecological information on occurrence and activity levels in cryptic and elusive species is often difficult. Camera trapping provides a relatively inexpensive opportunity to acquire such data. We used infraredtriggered cameras to assess trap success and activity levels of several species across four consecutive seasons, including: Ursus americanus (black bear), Lynx rufus (bobcat), Canis latrans (coyote), Vulpes vulpes (red fox), Urocyon cinereoargenteus (gray fox), Procyon lotor (raccoon), Odocoileus virginianus (white-tailed deer), Didelphis virginiana (opossum), Sciurus carolinensis (gray squirrel), and Meleagris gallopavo (wild turkey). With a total of 396 trap nights (TN) at one station over the span of four consecutive seasons, overall trap success rate was 86.87 captures per 100 TN. Trap success was highest in wild turkeys (31.57/100 TN), followed by raccoons (15.66/100 TN), gray squirrels (10.86/100 TN), gray foxes (8.59/100 TN), white-tailed deer (8.08/100 TN), opossums (5.56/100 TN), coyotes (1.52/100 TN), red foxes (1.26/100 TN), and bobcats (0.76/100 TN). Overall trap success significantly varied across all target species combined (Kruskal Wallis ChiSquare = 349, d.f. = 10, p < 0.0001). However, trap success did not vary across all seasons for all target species combined (Kruskal Wallis Chi-Square = 0.99, d.f. = 3, p = 0.78). This study is the first to use camera trapping to examine species presence and activity levels in a longitudinal manner for cryptic and elusive species of southwest Virginia. INTRODUCTION Camera trapping is an excellent non-invasive tool for identifying cryptic or elusive species (Yasuda, 2004; Rowcliffe et al. 2008). While this approach to elusive species identification is not a recent revelation in ecological methodologies (e.g., Chapman, 1927), camera trap usage has picked up momentum in recent years (Karanth and Nichols, 1998). In fact, published papers utilizing some degree of camera trapping have seen an estimated 50% annual growth over the past decade (Rowcliffe and Carbone, Corresponding author: David L. Chambers chambersdl@longwood.edu 130 VIRGINIA JOURNAL OF SCIENCE 2008). Much of this growth can be attributed to increased technological and analytical advances that allow ecologists to determine population densities, dispersal behaviors, and relative abundance – all from a distance (Karanth and Nichols, 2000; Kelly et al. 2012). Trap success is one common index of activity level that can be obtained using camera trap data. Trap success calculated per species can provide insight into species presence or, at a more interactive scale, potential species interactions among predators/prey (Kelly and Holub, 2008), despite recent debate about its use as an index of abundance (Anderson, 2003; O’Brien et al., 2003). Regardless of debate, it is impractical to ignore the importance of understanding predator/prey dynamics particularly in the wake of increasing anthropogenic disturbances that are altering natural community composition and interactions (Sala et al., 2000; Walker et al., 2005). Thus, the value of camera trapping becomes magnified for elusive species that act as predators and/or prey in their respective systems. Such value is further magnified when camera trapping is employed in highly understudied locations, such as Virginia, in order to elucidate cryptic species interactions. Our study used camera trapping to survey medium to large-sized mammalian and terrestrial avian species known to occur at our study site. Specifically, we targeted Ursus americanus (black bear), Lynx rufus (bobcat), Canis latrans (coyote), Vulpes vulpes (red fox), Urocyon cinereoargenteus (gray fox), Procyon lotor (raccoon), Odocoileus virginianus (white-tailed deer), Didelphis virginiana (opossum), Sciurus carolinensis (gray squirrel), and Meleagris gallopavo (wild turkey). We report overall and seasonal trap success for each target species in the understudied state of Virginia. MATERIALS AND METHODS Our study site was located on private property in Tazewell County, near the town of Richlands, Virginia (Fig. 1). The site is situated at approximately 615 m in elevation within a mostly deciduous forest. Trap camera location (one station) was along a fence that bisected a north-facing forested hillside consisting of predominately yellow poplar (Liriodendron tulipifera). However, northern red oak (Quercus rubra), white oak (Q. alba), American ash (Fraxinus americana), and eastern red cedar (Juniperus virginiana) were also in the adjacent area. Cameras were mounted approximately 80 cm above the ground in a location that would funnel animals in the pathway of the lens that was approximately 3 m away. Two types of cameras were used throughout the duration of this study: a StealthCam MC2-G and a DeerCam 200, both of which are passive infrared-triggered 35 mm film cameras. These cameras are triggered by heat and motion detectors. The StealthCam MC2-G, programmed with 1 min intervals between each image capture, was used from 1 October 2005 to 25 January 2006. The DeerCam 200, programmed with 15 sec intervals between each image capture, was used from 26 January 2006 until the end of the study. Both cameras, when active separately, were active 24 hours a day. Cameras were routinely checked for basic maintenance and battery and film replacement. No bait or lures were used to attract target species. No camera malfunctions were noted throughout this longitudinal study. Trap success for each targeted species was calculated as the number of trap events per 100 trap-nights. In order to prevent duplicate counting of images taken over short periods of time (i.e., less than 30 min apart; Kelly, 2003; Silver et al., 2004), date/time Camera Trapping in Tazewell County 131 stamps on each photograph and individual animal size, position, and markings were examined. Special care was taken to accurately estimate the number of wild turkeys (M . gallopavo) for each camera trap event since they periodically appear as a flock that, subsequently, triggered multiple image captures. Because data did not meet assumptions of normality, nonparametric statistical analyses were conducted. Specifically, we used a nonparametric Kruskal-Wallis test to compare overall trap success amongst all targeted species to compare trap success among seasons for each target species. We conducted this study over an entire year, thus all four seasons are represented. Spring season consists of March, April, and May image captures. Summer season reflects image captures from June to August. Fall season includes all image captures from September to November. Finally, winter season includes all image captures from December to February. All statistical analyses were conducting using SAS JMP 9.0 (SAS Institute, Cary, North Carolina). RESULTS In total, we photographed nine species (eight mammals and one bird) without the use of lures or baits. Specifically, six (bobcat, coyote, red fox, gray fox, raccoon, and opossum) are considered to be predatory species while the remaining three (white-tailed deer, gray squirrel, and wild turkey) are considered to be prey. We amassed a total of 396 trap nights (TN) and recorded 344 trap events, with a total of 637 target animal photographs (Table 1). Overall trap success for all animals photographed was 86.87 per FIGURE 1. Study site location. 132 VIRGINIA JOURNAL OF SCIENCE 100 TN (Table 1). In terms of individual species contributing to successful trap events, the majority of raw photographic events were M. gallopavo (wild turkey; 36.34%), followed by P. lotor (raccoon; 18.02%), S. carolinensis (gray squirrel; 12.5%), U. cinereoargenteus (gray fox; 9.88%), O. virginianus (white-tailed deer; 9.3%), D. virginiana (opossum; 6.4%), C. latrans (coyote; 1.74%), V. vulpes (red fox; 1.45%), and L. rufus (bobcat; 0.87%). No U. americanus (black bear) were photographed. Trap success significantly varied across all targeted animals (Kruskal Wallis ChiSquare = 349, d.f. = 10, p < 0.0001) (Fig. 2). Trap success was highest in M. gallopavo (wild turkey; 31.57/100 TN). Procyon lotor (raccoon; 15.66/100 TN) had the second highest trap success, followed by S. carolinensis (gray squirrel; 10.86/100 TN), U. cinereoargenteus (gray fox; 8.59/100 TN), O. virginianus (white-tailed deer; 8.08/100 TN), D. virginiana (opossum; 5.56/100 TN), unknown/unidentifiable photographs due to poor quality (3.03/100 TN), C. latrans (coyote; 1.52/100 TN), V. vulpes (red fox; 1.26/100 TN), and L. rufus (bobcat; 0.76/100 TN). Trap success did not significantly vary across seasons for all targeted species combined (Kruskal Wallis Chi-Square = 0.99, d.f. = 3, p = 0.78)(Fig. 3.). Unfortunately, rigorous comparisons of seasonal trap success within each individual targeted species were not possible due to low sample sizes among individual seasons. TABLE 1. Total number of trap events, number of animals photographed, and overall trap success. Species (common name) Total number of trap events Total number of
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信