Restoration ecology

AccessScience ◽  
2015 ◽  
Keyword(s):  
Restoration Ecology

Wildlife Conservation and Restoration Ecology

1995 ◽  
Vol 13 (2) ◽  
pp. 203-208 ◽  
Author(s):  
Michael L. Morrison
Keyword(s):  
Restoration Ecology ◽  
Wildlife Conservation

scholarly journals Traditional Ecological Knowledge in Restoration Ecology: A Call to Listen Deeply, to Engage with, and Respect Indigenous Voices

2021 ◽  
Author(s):  
Jake M. Robinson ◽  
Nick Gellie ◽  
Danielle MacCarthy ◽  
Jacob G. Mills ◽  
Kim O'Donnell ◽  
...  
Keyword(s):  
Traditional Ecological Knowledge ◽  
Restoration Ecology ◽  
Ecological Knowledge ◽  
Indigenous Voices

scholarly journals A simple standardized protocol to evaluate the reliability of seed rain estimates

2020 ◽  
pp. 1-6
Author(s):  
André J. Arruda ◽  
Fernando A.O. Silveira ◽  
Elise Buisson
Keyword(s):  
Restoration Ecology ◽  
Community Dynamics ◽  
Size Dependence ◽  
Seed Rain ◽  
Proof Of Concept ◽  
Sticky Traps ◽  
Standardized Protocol ◽  
Funnel Trap ◽  
Seed Trap ◽  
Cross Site

Abstract Seed dispersal has key implications for community dynamics and restoration ecology. However, estimating seed rain (the number and diversity of seeds arriving in a given area) is challenging, and the lack of standardization in measurement prevents cross-site comparisons. Seed trap effectiveness and accuracy of seed sorting methods are key components of seed rain estimates in need of standardization. We propose and describe a standardized protocol for evaluating the effectiveness of two seed trap types (sticky and funnel traps) and the accuracy of a seed sorting method. We used widely available seeds (arugula, quinoa, sesame and sunflower) to produce a gradient of seed size, weight and colour. Proof-of-concept was tested in a tropical grassland, where traps were set for 30 days. Our results suggest that we underestimate dispersal of seeds with less than 2 mm width that can be easily mistaken for debris and soil particles or that fail to adhere to sticky traps. Seeds on sticky traps may be more vulnerable to removal by wind and rain, whereas seeds in funnel traps are more susceptible to decay. We found no evidence of observer bias on seed sorting for funnel trap samples. However, accuracy on seed sorting for funnel trap samples tended to decline for seeds with less than 2 mm width, suggesting a size-dependence in seed retrieval success. Our standardized protocol addressing trap effectiveness and seed sorting methods will increase the reliability of data obtained in seed rain studies and allow more reliable comparisons between datasets.

Foundations of Restoration Ecology - Edited by Donald A. Falk, Margaret A. Palmer, and Joy B. Zedler

2007 ◽  
Vol 15 (3) ◽  
pp. 592-593
Author(s):  
Karen Holl ◽  
Martha Bonilla ◽  
Ryan Carle ◽  
Sarah Carvill ◽  
Amy Concilio ◽  
...  
Keyword(s):  
Restoration Ecology

scholarly journals Solutions in microbiome engineering: prioritizing barriers to organism establishment

2021 ◽  
Author(s):  
Michaeline B. N. Albright ◽  
Stilianos Louca ◽  
Daniel E. Winkler ◽  
Kelli L. Feeser ◽  
Sarah-Jane Haig ◽  
...  
Keyword(s):  
Microbial Community ◽  
Ecosystem Function ◽  
Restoration Ecology ◽  
Propagule Pressure ◽  
Environmental Filtering ◽  
Biotic Interactions ◽  
Invasion Biology ◽  
Engineering Research

AbstractMicrobiome engineering is increasingly being employed as a solution to challenges in health, agriculture, and climate. Often manipulation involves inoculation of new microbes designed to improve function into a preexisting microbial community. Despite, increased efforts in microbiome engineering inoculants frequently fail to establish and/or confer long-lasting modifications on ecosystem function. We posit that one underlying cause of these shortfalls is the failure to consider barriers to organism establishment. This is a key challenge and focus of macroecology research, specifically invasion biology and restoration ecology. We adopt a framework from invasion biology that summarizes establishment barriers in three categories: (1) propagule pressure, (2) environmental filtering, and (3) biotic interactions factors. We suggest that biotic interactions is the most neglected factor in microbiome engineering research, and we recommend a number of actions to accelerate engineering solutions.

Challenging Assumptions in Urban Restoration Ecology

2013 ◽  
Vol 32 (2) ◽  
pp. 231-242 ◽  
Author(s):  
J. Zeunert
Keyword(s):  
Restoration Ecology ◽  
Urban Restoration

Sigurdur Greipsson: Restoration Ecology

2012 ◽  
Vol 26 (3) ◽  
pp. 735-738
Author(s):  
Sarah Werner
Keyword(s):  
Restoration Ecology

scholarly journals Quo vadis ecological restoration? A meta-analysis of papers published in Restoration Ecology and in 12 other leading scientific journals, 2000–2008

2009 ◽  
Vol 75 (2) ◽  
pp. 386 ◽  
Author(s):  
J.N. Blignaut ◽  
J. Aronson ◽  
A. Limouzin ◽  
C. Fontaine ◽  
S.J. Milton ◽  
...  
Keyword(s):  
Ecological Restoration ◽  
Restoration Ecology ◽  
Meta Analysis ◽  
Scientific Journals ◽  
Quo Vadis

scholarly journals O uso de modelagem de distribuição de espécies para restauração florestal: Uma revisão sistemática

2021 ◽  
Vol 10 (8) ◽  
pp. e46610817158
Author(s):  
Luise Andrade Amaral ◽  
Robério Anastácio Ferreira ◽  
Renata Silva Mann
Keyword(s):  
Geographic Distribution ◽  
Species Distribution ◽  
Predictive Models ◽  
Forest Restoration ◽  
Potential Distribution ◽  
Restoration Ecology ◽  
Web Of Science ◽  
Ecological Modeling ◽  
Niche Modeling ◽  
Habitat Models

O objetivo deste trabalho foi realizar uma revisão sistemática da produção científica do uso da modelagem de distribuição de espécies para restauração florestal. As buscas de artigos científicos nas bases de dados Scopus e Web of Science para os últimos 15 anos foram realizadas no mês de dezembro de 2020 utilizando os termos: “ecological modeling” OR “biodiversity modeling” OR “predictive models” OR “niche modeling" OR "habitat models" AND “species distribution” OR "geographic distribution" OR “potential distribution” AND “forest restoration” OR “restoration ecology”. Para as análises estatísticas e gráficos dos dados brutos foi utilizado o pacote Bibliometrix do software R. Os dados brutos foram refinados por meio da seleção dos estudos que atenderam aos seguintes critérios: (i) estudos publicados em revistas científicas com fator de impacto igual ou superior a 2,0; (ii) estudos em que o título ou resumo mencionasse as palavras restauração florestal ou restauração ecológica; (iii) estudos que avaliaram o uso de modelagem de distribuição de espécies como auxílio aos projetos e programas de restauração florestal ou restauração ecológica. Foram encontrados 44 documentos publicados em 30 periódicos científicos com média de 3,91 publicações por ano; 18,55 citações por documento; 197 autores, sendo 3 documentos com autoria única. Assim pode-se concluir que o uso de modelagem de distribuição de espécies para restauração florestal no mundo é muito recente, e no Brasil é incipiente com baixos números de artigos publicados, mas apresenta tendência de crescimento por conta da sua significativa contribuição para melhorar as taxas de sucesso dos projetos de restauração.

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