scholarly journals The A'ingae Co-Occurrence Constraint

Author(s):  
Chiara Repetti-Ludlow

Many OT frameworks have been proposed to account for co-occurrence phenomena, including agreement as correspondence (Rose & Walker, 2004) and total and partial identity (Gallagher & Coon, 2009). However, aggressive reduplication (Zuraw, 2002) is best able to account for new data from A'ingae, as it accounts for agreement between whole syllables rather than individual segments. In this paper, I put forward novel co-occurrence data from A'ingae, a language isolate spoken by approximately 1,500 people in Ecuador and Colombia. I then describe how the data can be accounted for using Zuraw's (2002) aggressive reduplication, with only minor modifications. Finally, I consider historical motivations for the existence of this type of co-occurrence pattern.

<em>Abstract</em>.—Bighead carp <em>Hypophthalmichthys nobilis </em>have become established within the Mississippi River system (MRS) and pose a serious threat to native fishes and aquatic ecosystems throughout North America. Determining their dispersal dynamics will be a key management tool for controlling their expansion. To better understand how bighead carp have spread through the MRS, we developed a simple diffusion model to be used as a heuristic tool to generate insights regarding dispersion patterns. First, we collected occurrence data from fish museums and government agencies spanning more than 30 years of sampling in the MRS and nearby rivers. These were then combined into a geographic information system database and used to create yearly occurrence maps for this species. We then developed a diffusion model for bighead carp using information on their movement and reproduction. The resulting model can be used to track the dispersal of hypothetical carp populations from different points of introduction within the MRS. With this model, we generated and compared four possible dispersal scenarios for bighead carp based on likely points of introduction. For each of these, we calculated Cohen’s kappa and sensitivity (measures of predictive success) to determine which dispersal scenarios were the most accurate in predicting bighead carp occurrence pattern after 30 years. We found significant agreement between the actual and predicted distributions of carp after 30 years of expansion for all four dispersal scenarios (Cohen’s kappa: range = 0.136–0.426, <em>p </em>< 0.05). The single introduction scenario (in the Arkansas River) had the lowest agreement with the occurrence data (Cohen’s kappa = 0.136, sensitivity = 32%) compared with the scenarios representing multiple points of carp introduction: introductions in the Arkansas and Missouri rivers (Cohen’s kappa = 0.370, sensitivity = 71%), introductions in the Arkansas and lower Ohio rivers (Cohen’s kappa = 0.391, sensitivity = 68%), and introductions in all three river locations (Cohen’s kappa = 0.426, sensitivity = 85%). The triple introduction scenario also had the highest sensitivity (sensitivity = 66%) when it was compared to the other three scenarios for accuracy on a year-to-year basis: Arkansas River only (sensitivity = 25%), Arkansas and Missouri rivers (sensitivity = 39%), and Arkansas and lower Ohio rivers (sensitivity = 46%). These results suggest expanding bighead carp populations in the MRS began from multiple origins rather than a single introduction. Other insights derived from the dispersal scenarios include evidence that bighead carp are possibly more widely dispersed than current occurrence data indicate and that the species is likely extending its range “under the radar” of standardized sampling. Finally, we used these dispersal scenarios to predict potential high carp density hot spots that could develop over the next 20 years in the MRS and should be targeted for control management.


Author(s):  
Michael K. Young ◽  
Daniel J. Isaak ◽  
Kevin S. McKelvey ◽  
Michael K. Schwartz ◽  
Kellie J. Carim ◽  
...  

Insects ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 392
Author(s):  
Antonio Pulido-Pastor ◽  
Ana Luz Márquez ◽  
José Carlos Guerrero ◽  
Enrique García-Barros ◽  
Raimundo Real

Metapopulation theory considers that the populations of many species are fragmented into patches connected by the migration of individuals through an interterritorial matrix. We applied fuzzy set theory and environmental favorability (F) functions to reveal the metapopulational structure of the 222 butterfly species in the Iberian Peninsula. We used the sets of contiguous grid cells with high favorability (F ≥ 0.8), to identify the favorable patches for each species. We superimposed the known occurrence data to reveal the occupied and empty favorable patches, as unoccupied patches are functional in a metapopulation dynamics analysis. We analyzed the connectivity between patches of each metapopulation by focusing on the territory of intermediate and low favorability for the species (F < 0.8). The friction that each cell opposes to the passage of individuals was computed as 1-F. We used the r.cost function of QGIS to calculate the cost of reaching each cell from a favorable patch. The inverse of the cost was computed as connectivity. Only 126 species can be considered to have a metapopulation structure. These metapopulation structures are part of the dark biodiversity of butterflies because their identification is not evident from the observation of the occurrence data but was revealed using favorability functions.


Paleobiology ◽  
2001 ◽  
Vol 27 (4) ◽  
pp. 602-630 ◽  
Author(s):  
Michael Foote

Apparent variation in rates of origination and extinction reflects the true temporal pattern of taxonomic rates as well as the distorting effects of incomplete and variable preservation, effects that are themselves exacerbated by true variation in taxonomic rates. Here I present an approach that can undo these distortions and thus permit estimates of true taxonomic rates, while providing estimates of preservation in the process. Standard survivorship probabilities are modified to incorporate variable taxonomic rates and rates of fossil recovery. Time series of these rates are explored by numerical optimization until the set of rates that best explains the observed data is found. If internal occurrences within stratigraphic ranges are available, or if temporal patterns of fossil recovery can otherwise be assumed, these constraints can be exploited, but they are by no means necessary. In its most general form, the approach requires no data other than first and last appearances. When tested against simulated data, the method is able to recover temporal patterns in rates of origination, extinction, and preservation. With empirical data, it yields estimates of preservation rate that agree with those obtained independently by tabulating internal occurrences within stratigraphic ranges. Moreover, when empirical occurrence data are artificially degraded, the method detects the resulting gaps in sampling and corrects taxonomic rates. Preliminary application to data on Paleozoic marine animals suggests that some features of the apparent record, such as the forward smearing of true origination events and the backward smearing of true extinction events, can be detected and corrected. Other features, such as the end-Ordovician extinction, may be fairly accurate at face value.


Animals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 997
Author(s):  
Hee-Bok Park ◽  
Sungwon Hong

The long-tailed goral (Naemorhedus caudatus) is a critically endangered herbivore in South Korea. Despite government efforts to recover the population through reintroduction programs, the animal remains vulnerable to heavy snowfall. From March to June 2010, 24 animals were found dead due to heavy snowfall in the Wangpi Stream basin. In this study, we hypothesized that gorals that died due to snowfall are low-status individuals that lived in the sub-optimal or non-suitable areas. Using the occurrence data from extensive field surveys from 2008 to 2010 in the Wangpi Stream and the carcass location data, we (1) defined the goral habitat characteristics and (2) compared the habitat characteristics between dead and living gorals using ensemble species distribution modeling. The results suggested that the sites where dead gorals were found were highly related to typical goral habitats. These results implied that the optimal goral habitats could become uninhabitable following heavy snowfall. Most of the dead animals were pregnant females or were young, implying that they could not escape their primary habitats due to lower mobility. Thus, when there is a climate catastrophe, the optimal goral habitats should be considered for rescue and artificial feeding.


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