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<title>USGS Staff -- Published Research</title>
<copyright>Copyright (c) 2013 University of Nebraska - Lincoln All rights reserved.</copyright>
<link>http://digitalcommons.unl.edu/usgsstaffpub</link>
<description>Recent documents in USGS Staff -- Published Research</description>
<language>en-us</language>
<lastBuildDate>Wed, 03 Apr 2013 01:32:13 PDT</lastBuildDate>
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<item>
<title>&lt;i&gt;Boselaphus tragocamelus&lt;/i&gt; (Artiodactyla: Bovidae)</title>
<link>http://digitalcommons.unl.edu/usgsstaffpub/723</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/usgsstaffpub/723</guid>
<pubDate>Mon, 01 Apr 2013 12:25:25 PDT</pubDate>
<description>
	<![CDATA[
	<p><em>Boselaphus tragocamelus</em> (Pallas, 1766) is a bovid commonly called the nilgai or blue bull and is Asia’s largest antelope. A sexually dimorphic ungulate of large stature and unique coloration, it is the only species in the genus <em>Boselaphus</em>. It is endemic to peninsular India and small parts of Pakistan and Nepal, has been extirpated from Bangladesh, and has been introduced in the United States (Texas), Mexico, South Africa, and Italy. It prefers open grassland and savannas and locally is a significant agricultural pest in India. It is not of special conservation concern and is well represented in zoos and private collections throughout the world.</p>

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<author>David M. Leslie Jr.</author>


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<title>Conditions and Limitations on Learning in the Adaptive Management of Mallard Harvests</title>
<link>http://digitalcommons.unl.edu/usgsstaffpub/722</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/usgsstaffpub/722</guid>
<pubDate>Mon, 01 Apr 2013 12:17:22 PDT</pubDate>
<description>
	<![CDATA[
	<p>In 1995, the United States Fish and Wildlife Service adopted a protocol for the adaptive management of waterfowl hunting regulations (AHM) to help reduce uncertainty about the magnitude of sustainable harvests. To date, the AHM process has focused principally on the midcontinent population of mallards (<em>Anas platyrhynchos</em>), whose dynamics are described by 4 alternative models. Collectively, these models express uncertainty (or disagreement) about whether harvest is an additive or a compensatory form of mortality and whether the reproductive process is weakly or strongly density-dependent. Each model is associated with a probability or "weight," which describes its relative ability to predict changes in population size. These Bayesian probabilities are updated annually using a comparison of population size predicted under each model with that observed by a monitoring program. The current AHM process is passively adaptive, in the sense that there is no <em>a priori</em> consideration of how harvest decisions might affect discrimination among models. We contrast this approach with an actively adaptive approach, in which harvest decisions are used in part to produce the learning needed to increase long-term management performance. Our investigation suggests that the passive approach is expected to perform nearly as well as an optimal actively adaptive approach, particularly considering the nature of the model set, management objectives and constraints, and current regulatory alternatives. We offer some comments about the nature of the biological hypotheses being tested and describe some of the inherent limitations on learning in the AHM process.</p>

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<author>Fred A. Johnson et al.</author>


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<title>Endangered Species Time Line</title>
<link>http://digitalcommons.unl.edu/usgsstaffpub/721</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/usgsstaffpub/721</guid>
<pubDate>Wed, 06 Mar 2013 14:43:33 PST</pubDate>
<description>
	<![CDATA[
	<p>The Endangered Species Act (ESA) is embedded in a web of statutes designed to regulate relationships between humans and other species that stretch back nearly a millennium (Goble, this volume; Goble and Freyfogle 2002). This chapter presents a time line of federal actions taken to protect wildlife beginning with passage of the Land and Water Conservation Fund Act in 1963 (Act of May 28, 1963). Earlier laws to protect wildlife are discussed elsewhere (Goble, this volume). The time line emphasizes federal actions that conserve species at risk of extinction and significant events in the course of implementing the Endangered Species Act.</p>
<p>The story is one of expanding protection, moving from the Land and Water Conservation Fund Act's recognition of species threatened with extinction, through the protection of migratory birds, to the first federal statutes to protect endangered species-the Endangered Species Preservation Act (Act of October 15, 1966a), the Endangered Species Conservation Act (Act of December 5, 1969), and the Endangered Species Act itself in 1973. In this progression, federallaw has moved from protection of only fish and game to include nearly all at-risk plants and animals.</p>
<p>The enactment of the ESA in 1973 was not the end of the story, however. The act has been amended several times over the past thirty years and administrative actions have also modified its on-the-ground application. The original ESA embodied a top-down regulatory approach but the subsequent amendments have increased incentives that would encourage private landowners, government agencies, and other organizations to collaborate in recovery efforts for endangered species.</p>

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<author>Leona K. Svancara et al.</author>


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<item>
<title>Introduced northern pike predation on salmonids
in southcentral alaska</title>
<link>http://digitalcommons.unl.edu/usgsstaffpub/720</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/usgsstaffpub/720</guid>
<pubDate>Wed, 06 Mar 2013 14:40:13 PST</pubDate>
<description>
	<![CDATA[
	<p>Northern pike (<em>Esox lucius</em>) are opportunistic predators that can switch to alternative prey species after preferred prey have declined. This trophic adaptability allows invasive pike to have negative effects on aquatic food webs. In Southcentral Alaska, invasive pike are a substantial concern because they have spread to important spawning and rearing habitat for salmonids and are hypothesised to be responsible for recent salmonid declines. We described the relative importance of salmonids and other prey species to pike diets in the Deshka River and Alexander Creek in Southcentral Alaska. Salmonids were once abundant in both rivers, but they are now rare in Alexander Creek. In the Deshka River, we found that juvenile Chinook salmon (<em>Oncorhynchus tshawytscha</em>) and coho salmon (<em>O. kisutch</em>) dominated pike diets and that small pike consumed more of these salmonids than large pike. In Alexander Creek, pike diets reflected the distribution of spawning salmonids, which decrease with distance upstream. Although salmonids dominated pike diets in the lowest reach of the stream, Arctic lamprey (<em>Lampetra camtschatica</em>) and slimy sculpin (<em>Cottus cognatus</em>) dominated pike diets in the middle and upper reaches. In both rivers, pike density did not influence diet and pike consumed smaller prey items than predicted by their gape-width. Our data suggest that (1) juvenile salmonids are a dominant prey item for pike, (2) small pike are the primary consumers of juvenile salmonids and (3) pike consume other native fish species when juvenile salmonids are less abundant. Implications of this trophic adaptability are that invasive pike can continue to increase while driving multiple species to low abundance.</p>

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<author>Adam J. Sepulveda et al.</author>


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<title>By the Numbers</title>
<link>http://digitalcommons.unl.edu/usgsstaffpub/719</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/usgsstaffpub/719</guid>
<pubDate>Wed, 06 Mar 2013 14:33:43 PST</pubDate>
<description>
	<![CDATA[
	<p>The current endangered species list has its administrative beginnings in 1964 when the Department of the Interior's Committee on Rare and Endangered Wildlife Species published a preliminary list of 62 species at risk of extinction (Goble, forthcoming). Following the enactment of the Endangered Species Preservation Act of 1966 (ESPA), the secretary of the interior in 1967 published the first official list of 78 "native fish and wildlife threatened with extinction" (ESPA sec. l(c); U.S. Department of the Interior 1967; Wilcove and McMillan, this volume). By the time the Endangered Species Act (ESA) was adopted in 1973, there were 392 species on the list (Yaffee 1982). These first lists included only vertebrate species. On the thirtieth anniversary of the ESA, the number stood at 1,260 domestic species and 558 foreign species (USFWS 2003a), with plant and invertebrate species outnumbering vertebrates.</p>
<p>This chapter presents a graphical summary encapsulating thirty years of species protection and restoration under the ESA. The summary reveals both gains and losses. For some species, such as the Aleutian Canada goose (<em>Branta canadensis leucopareia</em>), the process worked as it was meant to, reversing decline and restoring populations to healthy levels (USFWS 2001a); for others, such as the dusky seaside sparrow (<em>Ammodramus maritimus nigrescens</em>), the process failed, and despite being listed the species continued to spiral toward eventual extinction (USFWS 1983; Walters 1992).</p>
<p>What follows is an assessment of the state of species protection as it has evolved under the ESA. This includes the taxonomie and demographie distribution of listed species, and the number of critical habitat designations. We also examine newer legal tools for conserving habitat on private land (such as habitat conservation plans), various measures of the act's success, and funding levels for species protection.</p>

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<author>J. Michael Scott et al.</author>


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<title>Introduction to &quot;&lt;i&gt;The Endangered Species
Act at Thirty, Volume 1&lt;/i&gt;&quot;</title>
<link>http://digitalcommons.unl.edu/usgsstaffpub/718</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/usgsstaffpub/718</guid>
<pubDate>Wed, 06 Mar 2013 14:27:46 PST</pubDate>
<description>
	<![CDATA[
	<p>This book examines one legislative effoft to resolve the dilemma, the Endangered Speeies Aet of 1973 (ESA 1973). The ESA was an idealistic and perhaps naive attempt to preserve humanity by preserving other species in the ecological support system that makes life possible. In the words of the House report accompanying the bill:</p>
<p>A certain humility, and a sense of urgency seem indicated .... One might analogize the case to one in which one copy of all the books ever printed were gathered together in one huge building. The position in which we find ourselves today is that of custodians of this building, and our choice is between exercising our responsibilities and ignoring them. If these theoretical custodians were to permit a madman to enter, build a bonfire and throw in at random any volume he selected, one might with justification suggest that others be found, or at least that they be censored and told to be more careful in the future. So it is with mankind. Like it or not, we are our brothers' keepers, and we are also keepers of the rest of the house. (U.S. Congress 1973,4-5)</p>
<p>Species conservation was already a difficult challenge in 1973. The human population of the United States had inereased from less than 4 million in the first census of 1790 to roughly 212 million by 1973 (Census Bureau 2000). This increase was accompanied by even more dramatic increases in per capita consumption of resources. The combination of population growth and increased consumption has driven a precipitous loss of nonhuman species that continues today: more than five hundred species formerly found in the United States are presumed to be extinct and an additional 47 percent of the species unique to this country are at risk (Master et al. 2000).</p>

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<author>J. Michael Scott et al.</author>


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<item>
<title>Using hand proportions to test taxonomic boundaries within the &lt;i&gt;Tupaia
glis&lt;/i&gt; species complex (Scandentia, Tupaiidae)</title>
<link>http://digitalcommons.unl.edu/usgsstaffpub/717</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/usgsstaffpub/717</guid>
<pubDate>Wed, 06 Mar 2013 14:21:48 PST</pubDate>
<description>
	<![CDATA[
	<p>Treeshrews (order Scandentia) comprise 2 families of squirrel-sized terrestrial, arboreal, and scansorial mammals distributed throughout much of tropical South and Southeast Asia. The last comprehensive taxonomic revision of treeshrews was published in 1913, and a well-supported phylogeny clarifying relationships among all currently recognized extant species within the order has only recently been published. Within the family Tupaiidae, 2 widely distributed species, the northern treeshrew, <em>Tupaia belangeri</em> (Wagner, 1841), and the common treeshrew, <em>T. glis</em> (Diard, 1820), represent a particularly vexing taxonomic complex. These 2 species are currently distinguished primarily based on their respective distributions north and south of the Isthmus of Kra on the Malay Peninsula and on their different mammae counts. This problematic species complex includes 54 published synonyms, many of which represent putative island endemics. The widespread<em> T. glis</em> and <em>T. belangeri</em> collectively comprise a monophyletic assemblage representing the sister lineage to a clade composed of the golden-bellied treeshrew, <em>T. chrysogaster</em> Miller, 1903 (Mentawai Islands), and the long-footed treeshrew, <em>T. longipes</em> (Thomas, 1893) (Borneo). As part of a morphological investigation of the <em>T. glis</em>–<em>T. belangeri</em> complex, we studied the proportions of hand bones, which have previously been shown to be useful in discriminating species of soricids (true shrews). We measured 38 variables from digital X-ray images of 148 museum study skins representing several subspecies of <em>T. glis</em>, <em>T. belangeri,</em> <em>T. chrysogaster</em>, and <em>T. longipes</em> and analyzed these data using principal components and cluster analyses. Manus proportions among these 4 species readily distinguish them, particularly in the cases of <em>T. chrysogaster</em> and <em>T. longipes</em>. We then tested the distinctiveness of several of the populations comprising <em>T. glis</em> and <em>T. longipes</em>. <em>T. longipes longipes</em> and <em>T. l. salatana</em> Lyon, 1913, are distinguishable from each other, and populations of <em>T. ‘‘glis’’</em> from Bangka Island and Sumatra are distinct from those on the Malay Peninsula, supporting the recognition of <em>T. salatana, T. discolor</em> Lyon, 1906, and <em>T. ferruginea</em> Raffles, 1821 as distinct species in Indonesia. These relatively small, potentially vulnerable treeshrew populations occur in the Sundaland biodiversity hotspot and will require additional study to determine their appropriate conservation status.</p>

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<author>Eric J. Sargis et al.</author>


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<title>Estimation of Evapotranspiration Across the Conterminous United States Using a Regression with Climate and Land-Cover Data</title>
<link>http://digitalcommons.unl.edu/usgsstaffpub/716</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/usgsstaffpub/716</guid>
<pubDate>Wed, 06 Mar 2013 14:11:22 PST</pubDate>
<description>
	<![CDATA[
	<p>Evapotranspiration (ET) is an important quantity for water resource managers to know because it often represents the largest sink for precipitation (P) arriving at the land surface. In order to estimate actual ET across the conterminous United States (U.S.) in this study, a water-balance method was combined with a climate and land-cover regression equation. Precipitation and streamflow records were compiled for 838 watersheds for 1971-2000 across the U.S. to obtain long-term estimates of actual ET. A regression equation was developed that related the ratio ET⁄<em>P</em> to climate and land-cover variables within those watersheds. Precipitation and temperatures were used from the PRISM climate dataset, and land-cover data were used from the USGS National Land Cover Dataset. Results indicate that ET can be predicted relatively well at a watershed or county scale with readily available climate variables alone, and that land-cover data can also improve those predictions. Using the climate and land-cover data at an 800-m scale and then averaging to the county scale, maps were produced showing estimates of ET and ET⁄<em>P</em> for the entire conterminous U.S. Using the regression equation, such maps could also be made for more detailed state coverages, or for other areas of the world where climate and land-cover data are plentiful.</p>

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<author>Ward E. Sanford et al.</author>


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<title>Critical Habitat</title>
<link>http://digitalcommons.unl.edu/usgsstaffpub/715</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/usgsstaffpub/715</guid>
<pubDate>Wed, 06 Mar 2013 14:03:17 PST</pubDate>
<description>
	<![CDATA[
	<p>The U.S. Endangered Species Act (ESA) requires that <em>critical habitat</em>-areas essential to the persistence or recovery of a species or population-be identified and protected (Goble and Freyfogle 2002). Despite apprehension that requiring critical habitat designation at the time (or within a year) of listing under the ESA would reduce the rate at which species were listed, this does not appear to have happened (Greenwald et al., this volume; Suckling and Taylor 2006). In fact, critical habitat has been designated for only a fraction of listed species (Scott et al. 2006). Reasons for the poor rate of designation include concerns that it provides litde additional protection to species (e.g., Hoekstra et al. 2002a, but see Suckling and Taylor 2006) and that sufficient data to determine critical habitat are not available. One problem is lack of a systematic framework for determining critical habitat using various types and amounts of data.</p>
<p>There are two key steps to determining critical habitat. The first is to characterize habitat requirements of a species based on its ecology and life history. Ideally, this is achieved by identif)ring variables that contribute to presence, density, and demography in different landscapes. The end product is a set of quantitative, functional relationships that predict presence or abundance. When sufficient data are lacking, descriptive habitat preferences based on known occurrences of the species are used to identify habitat requirements and elicit structured opinions from experts.</p>
<p>The second step is to evaluate how different amounts and configurations of habitat affect survival or recovery of the species. In making this determination, different scenarios for the amount and configuration of habitat under protection, and/or characteristics of the population inhabiting that area, are compared to each other and to a criterion, a threshold, or a critical level that embodies an acceptable risk of decline or loss. Again, when sufficient data are lacking, expert opinion can be used, cautiously, to evaluate risks of different scenarios for protecting critical habitat.</p>
<p>The Endangered Species Act mandates designating critical habitat based on the best available scientific data (Ruckelshaus and Darm, this volume). Data availability differs by species, which in turn affects the approach used for determining suitable and critical habitats (Karl et al. 2002; Scott et al. 2002). Models are the primary means of assessing habitat relationships and predicting consequences of habitat change (Wiens 2002). Ideally, sufficient data are needed to effectively determine if the designated habitat would support a viable population. However, often we cannot wait for these data to be collected. As Ruckelshaus and Darm (this volume) point out, logistics of model selection and development for determining critical habitat can be daunting.</p>
<p>In this chapter, we discuss a hierarchical approach to predicting species occurrence and designating critical habitat appropriate for the type and amount of data available to managers.</p>

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<author>J. Michael Reed et al.</author>


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<item>
<title>The Malthusian–Darwinian dynamic and the trajectory
of civilization</title>
<link>http://digitalcommons.unl.edu/usgsstaffpub/714</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/usgsstaffpub/714</guid>
<pubDate>Wed, 06 Mar 2013 13:50:54 PST</pubDate>
<description>
	<![CDATA[
	<p>Two interacting forces influence all populations: the Malthusian dynamic of exponential growth until resource limits are reached, and the Darwinian dynamic of innovation and adaptation to circumvent these limits through biological and/or cultural evolution. The specific manifestations of these forces in modern human society provide an important context for determining how humans can establish a sustainable relationship with the finite Earth.</p>

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<author>Jeffrey C. Nekola et al.</author>


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<title>A Data-Based Conservation Planning Tool
for Florida Panthers</title>
<link>http://digitalcommons.unl.edu/usgsstaffpub/713</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/usgsstaffpub/713</guid>
<pubDate>Wed, 06 Mar 2013 13:39:08 PST</pubDate>
<description>
	<![CDATA[
	<p>Habitat loss and fragmentation are the greatest threats to the endangered Florida panther (<em>Puma concolor coryi</em>). We developed a data-based habitat model and userfriendly interface so that land managers can objectively evaluate Florida panther habitat. We used a geographic information system (GIS) and the Mahalanobis distance statistic (<em>D<sup>2</sup></em>) to develop a model based on broad-scale landscape characteristics associated with panther home ranges. Variables in our model were Euclidean distance to natural land cover, road density, distance to major roads, human density, amount of natural land cover, amount of semi-natural land cover, amount of permanent or semipermanent flooded area–open water, and a cost–distance variable. We then developed a Florida Panther Habitat Estimator tool, which automates and replicates the GIS processes used to apply the statistical habitat model. The estimator can be used by persons with moderate GIS skills to quantify effects of land-use changes on panther habitat at local and landscape scales. Example applications of the tool are presented.</p>

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<author>Jennifer L. Murrow et al.</author>


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<title>On the halophytic nature of mangroves</title>
<link>http://digitalcommons.unl.edu/usgsstaffpub/712</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/usgsstaffpub/712</guid>
<pubDate>Wed, 06 Mar 2013 13:30:57 PST</pubDate>
<description>
	<![CDATA[
	<p>Scientists have discussed the halophytic nature of intertidal plants for decades, and have generally suggested that inherent differentiation of an obligate halophyte from a facultative halophyte relates strongly to whether the plant can survive in fresh water, and not much else. In this minireview, we provide additional insight to support the pervasive notion that mangroves as a group are truly facultative halophytes, and thus add discourse to the alternate view that mangroves have an obligate salinity requirement. Indeed, growth and physiological optima are realized at moderate salinity concentrations in mangroves, but we maintain the notion that current evidence suggests that survival is not dependent upon a physiological requirement for salt.</p>

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<author>Ken W. Krauss et al.</author>


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<item>
<title>A comprehensive change detection method for updating the National Land Cover
Database to circa 2011</title>
<link>http://digitalcommons.unl.edu/usgsstaffpub/711</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/usgsstaffpub/711</guid>
<pubDate>Wed, 06 Mar 2013 13:26:05 PST</pubDate>
<description>
	<![CDATA[
	<p>The importance of characterizing, quantifying, and monitoring land cover, land use, and their changes has been widely recognized by global and environmental change studies. Since the early 1990s, three U.S. National Land Cover Database (NLCD) products (circa 1992, 2001, and 2006) have been released as free downloads for users. The NLCD 2006 also provides land cover change products between 2001 and 2006. To continue providing updated national land cover and change datasets, a new initiative in developing NLCD 2011 is currently underway.We present a newComprehensive Change DetectionMethod (CCDM) designed as a key component for the development of NLCD 2011 and the research results fromtwo exemplar studies. The CCDM integrates spectral-based change detection algorithms including a Multi-Index Integrated Change Analysis (MIICA) model and a novel change model called Zone, which extracts change information from two Landsat image pairs. The MIICAmodel is the coremodule of the change detection strategy and uses four spectral indices (CV, RCVMAX, dNBR, and dNDVI) to obtain the changes that occurred between two image dates. The CCDM also includes a knowledge-based system, which uses critical information on historical and current land cover conditions and trends and the likelihood of land cover change, to combine the changes from MIICA and Zone. For NLCD 2011, the improved and enhanced change products obtained from the CCDMprovide critical information on location, magnitude, and direction of potential change areas and serve as a basis for further characterizing land cover changes for the nation. An accuracy assessment fromthe two study areas show 100% agreement between CCDMmapped no-change class with reference dataset, and 18% and 82% disagreement for the change class for WRS path/row p22r39 and p33r33, respectively. The strength of the CCDM is that the method is simple, easy to operate,widely applicable, and capable of capturing a variety of natural and anthropogenic disturbances potentially associated with land cover changes on different landscapes.</p>

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<author>Suming Jin et al.</author>


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<item>
<title>Chinook Salmon Foraging Patterns in a Changing
Lake Michigan</title>
<link>http://digitalcommons.unl.edu/usgsstaffpub/710</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/usgsstaffpub/710</guid>
<pubDate>Wed, 06 Mar 2013 13:18:13 PST</pubDate>
<description>
	<![CDATA[
	<p>Since Pacific salmon stocking began in Lake Michigan, managers have attempted to maintain salmon abundance at high levels within what can be sustained by available prey fishes, primarily Alewife <em>Alosa pseudoharengus</em>. Chinook Salmon<em> Oncorhynchus tshawytscha</em> are the primary apex predators in pelagic Lake Michigan and patterns in their prey selection (by species and size) may strongly influence pelagic prey fish communities in any given year. In 1994– 1996, there were larger Alewives, relatively more abundant alternative prey species, fewer Chinook Salmon, and fewer invasive species in Lake Michigan than in 2009–2010. The years 2009–2010 were instead characterized by smaller, leaner Alewives, fewer alternative prey species, higher abundance of Chinook Salmon, a firmly established nonnative benthic community, and reduced abundance of <em>Diporeia</em>, an important food of Lake Michigan prey fish. We characterized Chinook Salmon diets, prey species selectivity, and prey size selectivity between 1994–1996 and 2009–2010 time periods. In 1994–1996, Alewife as prey represented a smaller percentage of Chinook Salmon diets than in 2009–2010, when alewife comprised over 90% of Chinook Salmon diets, possibly due to declines in alternative prey fish populations. The size of Alewives eaten by Chinook Salmon also decreased between these two time periods. For the largest Chinook Salmon in 2009–2010, the average size of Alewife prey was nearly 50 mm total length shorter than in 1994–1996. We suggest that changes in the Lake Michigan food web, such as the decline in <em>Diporeia</em>, may have contributed to the relatively low abundance of large Alewives during the late 2000s by heightening the effect of predation from top predators like Chinook Salmon, which have retained a preference for Alewife and now forage with greater frequency on smaller Alewives.</p>

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<author>Gregory R. Jacobs et al.</author>


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<title>Disease in a dynamic landscape: Host behavior and wildfire reduce amphibian
chytrid infection</title>
<link>http://digitalcommons.unl.edu/usgsstaffpub/709</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/usgsstaffpub/709</guid>
<pubDate>Wed, 06 Mar 2013 13:11:27 PST</pubDate>
<description>
	<![CDATA[
	<p>Disturbances are often expected to magnify effects of disease, but these effects may depend on the ecology, behavior, and life history of both hosts and pathogens. In many ecosystems, wildfire is the dominant natural disturbance and thus could directly or indirectly affect dynamics of many diseases. To determine how probability of infection by the aquatic fungus <em>Batrachochytrium dendrobatidis</em> (Bd) varies relative to habitat use by individuals, wildfire, and host characteristics, we sampled 404 boreal toads (<em>Anaxyrus boreas boreas</em>) across Glacier National Park, Montana (USA). Bd causes chytridiomycosis, an emerging infectious disease linked with widespread amphibian declines, including the boreal toad. Probability of infection was similar for females and the combined group of males and juveniles. However, only 9% of terrestrial toads were infected compared to >30% of aquatic toads, and toads captured in recently burned areas were half as likely to be infected as toads in unburned areas. We suspect these large differences in infection reflect habitat choices by individuals that affect pathogen exposure and persistence, especially in burned forests where warm, arid conditions could limit Bd growth. Our results show that natural disturbances such as wildfire and the resulting diverse habitats can influence infection across large landscapes, potentially maintaining local refuges and host behaviors that facilitate evolution of disease resistance.</p>

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<author>Blake R. Hossack et al.</author>


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<title>Hybrids and Policy</title>
<link>http://digitalcommons.unl.edu/usgsstaffpub/708</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/usgsstaffpub/708</guid>
<pubDate>Wed, 06 Mar 2013 13:03:00 PST</pubDate>
<description>
	<![CDATA[
	<p>Hybridization (the interbreeding of individuals from genetically distinct populations, regardless of their taxonomic status) is the double-edged sword of conservation biology. On one hand, increased rates of hybridization because of human activities have led to the extinction of populations and species in plant and animal taxa throughout the world (Rhymer and Simberloff 1996; Allendorf et al. 2001). On the other, hybridization is an important and natural part of the evolutionary process. Thus, hybridization between isolated populations can be an important tool for recovery (Mansfield and Land 2002). However, it has been difficult to develop conservation policies that treat the problems caused by increasing anthropogenic hybridization and at the same time recognize the important evolutionary role of natural hybridization.</p>
<p>How the Endangered Species Act (ESA) should treat hybrids has been a topic of intense debate since its passage in 1973 (see box 12.1). The word "hybrid" does not occur in the definition of "species" in the ESA (sec. 3) nor are hybrids considered anywhere in the act. In fact, hybrids are not considered in endangered species legislation of any other nation (Haig, unpublished data) with the exception of the Biodiversity Act recently adopted by the Republic of South Africa (Republic of South Africa Act No. 8, 2004). In this chapter, we review the history of discussions related to listing hybrids under the Endangered Species Act, outline current legislation that may particularly address this issue, and explore new approaches to resolving this debate.</p>

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<author>Susan M. Haig et al.</author>


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<title>Conserving Biodiversity in Human-Dominated
Landscapes</title>
<link>http://digitalcommons.unl.edu/usgsstaffpub/707</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/usgsstaffpub/707</guid>
<pubDate>Wed, 06 Mar 2013 12:57:38 PST</pubDate>
<description>
	<![CDATA[
	<p>The two volumes of The Endangered Species Act at Thirty look backward to evaluate the effectiveness of the act over its first three decades (Wilcove and McMillan 2006; Scott et al. 2006, chap. 2; Goble, this volume; Svancara, this volume; Callicott, this volume; Norton, this volume) and also forward to suggest how it can be used as a cornerstone for conserving biological diversity in increasingly human-dominated landscapes (Davis et al. 2006; Bean 2006). The chapters in part 2 of this volume, for example, appraise the science of the 1990s and 2000s at both the large scale (Lomolino, this volume; Naeem et al. , this volume; Naeem and Jouseau, this volume) and the small (Waples, this volume; Haig and Allendorf, this volume; Reed et al., this volume) and examine the current debate over how science should inform the policy decisions that the act necessarily raises (Doremus, this volume; Ruckelshaus and Darm, this volume). As the authors note, conserving biodiversity involves more than science. The landscapes are, after all, human dominated-and as such must be human managed. The chapters in part 3 evaluate the issues that human management raise, its costs and benefits (Shogren, this volume; Sunding, this volume), emerging mechanisms that may offer tools to reduce the conflict by shifting increasingly to incentives (Scott et al., this volume; Heal, this volume; Fox et al., this volume), and an assessment of the potential to conserve biodiversity across a variety of sea- and landscapes (Armsworth, this volume; Brosi et al., this volume; Beatley, this volume).</p>

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<author>Dale D. Goble et al.</author>


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<item>
<title>Predictive Models for &lt;i&gt;Escherichia coli&lt;/i&gt; Concentrations at Inland Lake
Beaches and Relationship of Model Variables to Pathogen Detection</title>
<link>http://digitalcommons.unl.edu/usgsstaffpub/706</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/usgsstaffpub/706</guid>
<pubDate>Wed, 06 Mar 2013 12:52:01 PST</pubDate>
<description>
	<![CDATA[
	<p>Predictive models, based on environmental and water quality variables, have been used to improve the timeliness and accuracy of recreational water quality assessments, but their effectiveness has not been studied in inland waters. Sampling at eight inland recreational lakes in Ohio was done in order to investigate using predictive models for <em>Escherichia coli</em> and to understand the links between <em>E. coli</em> concentrations, predictive variables, and pathogens. Based upon results from 21 beach sites, models were developed for 13 sites, and the most predictive variables were rainfall, wind direction and speed, turbidity, and water temperature. Models were not developed at sites where the <em>E. coli</em> standard was seldom exceeded. Models were validated at nine sites during an independent year. At three sites, the model resulted in increased correct responses, sensitivities, and specificities compared to use of the previous day’s <em>E. coli</em> concentration (the current method). Drought conditions during the validation year precluded being able to adequately assess model performance at most of the other sites. <em>Cryptosporidium</em>, adenovirus, <em>eae</em>A (<em>E. coli</em>), <em>ipaH</em> (<em>Shigella</em>), and <em>spvC</em> (<em>Salmonella</em>) were found in at least 20% of samples collected for pathogens at five sites. The presence or absence of the three bacterial genes was related to some of the model variables but was not consistently related to <em>E. coli</em> concentrations. Predictive models were not effective at all inland lake sites; however, their use at two lakes with high swimmer densities will provide better estimates of public health risk than current methods and will be a valuable resource for beach managers and the public.</p>

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<author>Donna S. Francy et al.</author>


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<item>
<title>The National Wildlife Refuge System</title>
<link>http://digitalcommons.unl.edu/usgsstaffpub/705</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/usgsstaffpub/705</guid>
<pubDate>Wed, 06 Mar 2013 12:42:41 PST</pubDate>
<description>
	<![CDATA[
	<p>The National Wildlife Refuge System (NWRS) has played a key role in conserving at-risk species from its beginnings in 1903 when President Theodore Roosevelt established apreserve to protect Pelican Island, in Florida, as a breeding ground for an imperiled population of brown pelicans (<em>Pelecanus occidentalis</em>) (Fischman 2003). Today, the Atlantic coast population of the brown pelican is no longer in need of protection under the Endangered Species Act (ESA) , but Pelican Island National Wildlife Refuge provides protection for nine threatened and endangered species.</p>
<p>Management of the refuge system has changed significantly since the presidency of Teddy Roosevelt, evolving from the creation of "inviolate sanctuar[ies]" (Act ofFebruary 18, 1929, sec. 715d) through aperiod in which conservation of wildlife and natural communities was balanced with public uses, often to the detriment of conservation (Curtin 1993), to the current period in which the refuge system is to be managed to protect biological integrity, diversity, and environmental health, the management mandates enacted in the National Wildlife Refuge System Improvement Act of 1997 (Act ofOctober 9, 1997; Gergely et al. 2000).</p>
<p>This chapter describes the role the National Wildlife Refuge System plays in conserving species listed under the ESA, identifies factors that limit the refuge system's effectiveness in achieving that objective, and identifies opportunities to increase imperiled species conservation within the refuge system.</p>

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</description>

<author>Robert P. Davison et al.</author>


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<item>
<title>Introduction to &quot;&lt;i&gt;The Endangered Species Act
at Thirty, Volume 2&lt;/i&gt;&quot;</title>
<link>http://digitalcommons.unl.edu/usgsstaffpub/704</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/usgsstaffpub/704</guid>
<pubDate>Wed, 06 Mar 2013 12:39:06 PST</pubDate>
<description>
	<![CDATA[
	<p>More than thirty years after its passage, the Endangered Species Act (ESA) of 1973 continues to be a corners tone of U.S. biodiversity policy and among our most powerful environmentallaws. The ESA set the nation's biodiversity conservation policy on a path that emphasized species-based conservation and triggered action only when a species faced imminent extinction. However, promoting recovery has proven more challenging than the original designers of the law anticipated. The number of listed species has mushroomed from 78 in 1973 to 1,267 in 2005, while in that time only 13 species have recovered sufficiently to be removed from the list (Scott et al. 2006).</p>
<p>As described in <em>The Endangered Species Act at 30: Renewing the Conservation Promise</em>, the act has proven remarkably durable in spite of nearly continuous political assaults and legal and scientific challenges (Goble et al. 2006). The contributing authors to that volume describe a variety of factors responsible for the act's endurance. Public support for species conservation has remained strong, especially for high-visibility species such as the bald eagle (<em>Haliaeetus leucocephalus</em>) and grizzly bear (<em>Ursus arctos horribilis</em>) but also for less-charismatic taxa. The act has been championed by environmental groups in part for its power to control development, a role supported by a majority of the American public (Czech and Krausman 1997). Reforms have also been important to the act's continuance. In particular, implementation has evolved over the years from an absolute prohibition on take of endangered species to a more flexible permitting system, thereby defusing potentially explosive conservation conflicts on private lands. The act has also catalyzed administrative and legal reforms at all levels of government that have led to positive changes in natural resource management in rural areas and in urban open space planning.</p>

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</description>

<author>Frank W. Davis et al.</author>


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