Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników

Znaleziono wyników: 3

Liczba wyników na stronie
Pierwsza strona wyników Pięć stron wyników wstecz Poprzednia strona wyników Strona / 1 Następna strona wyników Pięć stron wyników wprzód Ostatnia strona wyników

Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych:  species management
help Sortuj według:

help Ogranicz wyniki do:
Pierwsza strona wyników Pięć stron wyników wstecz Poprzednia strona wyników Strona / 1 Następna strona wyników Pięć stron wyników wprzód Ostatnia strona wyników
The estimation of demographic rates is important for conservation and management of species. However, with the exception of an estimate for adult survival by Humphrey and Cope in 1977, there are no estimates of any demographic rates for the endangered Indiana myotis (Myotis sodalis). Their estimate is based on techniques that have been replaced by newer, more flexible, and less biased techniques. Therefore, we reanalyzed a subset of the data first analyzed by Humphrey and Cope using a Cormack-Jolly-Seber model. Two models [φ(year)p(year) and φ(year)p(sex*year)] are equally parsimonious, so we used model averaging to estimate apparent survival. We used this estimate to calculate the average cumulative survival each year after banding for four un-aged cohorts. Our estimate suggests that apparent survival is considerably higher than estimated by Humphrey and Cope the first year after banding and lower the second year after banding. Subsequent to the first two years after banding, our estimates are similar, but slightly lower than those reported by Humphrey and Cope. These results, while useful, cannot be taken as true survival rates for Indiana myotis because of limitations in the data and we suggest this estimate be used appropriately when making management decisions. We discuss limitations in this type of data and make suggestions for experimental design of future studies to collect data more appropriate for estimation of demographic rates in bats.
The management of invasive plant species (IPS) requires knowledge of areas susceptible to invasion and the origin of the invasive biotypes. Ecological niche models (ENMs) are useful for these purposes, but modeling results depend on the data sources. We propose a synthetic approach to determine the selection of data source areas considering the invasion status of an IPS and management objectives to deal with the IPS. We assessed the importance of data source for ENMs and their projections to invasive areas using Chromolaena odorata, a Neotropical weed, in South Africa where this IPS is invading. We used MaxEnt to perform ENMs using different datasets from C. odorata's native range and from South Africa. We employed reciprocal ENM projections to find the probable native region of the plants invading South Africa. ENMs varied depending on the native area selected as the hypothetical invasion source. The modeling approach using worldwide data was most appropriate for prevention purposes, whereas the modelling approach using data from the Americas was most suitable for estimating invasion-susceptible areas in South Africa. The South African ENM was useful for reciprocal modelling but not for prediction of areas susceptible to invasion. ENM projections from the Americas to South Africa and vice-versa identified two native areas as possible invasion sources (northern Mexico and southern tropical South America). Their concordance with the South African ENM can be useful to search for natural enemies of C. odorata's and to reinforce the identification of invasion-susceptible areas in South Africa. We suggest that the various ENM obtained with the synthetic approach in modeling with different data sources for C. odorata cover the scenarios that depend on management purpose and invasion status for this weed.
Pierwsza strona wyników Pięć stron wyników wstecz Poprzednia strona wyników Strona / 1 Następna strona wyników Pięć stron wyników wprzód Ostatnia strona wyników
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.