Learning from scientific literature: Can indicators for measuring success be standardized in "on the ground" restoration?

被引:28
|
作者
Evju, Marianne [1 ]
Hagen, Dagmar [2 ]
Kyrkjeeide, Magni O. [2 ]
Kohler, Berit [3 ]
机构
[1] Norwegian Inst Nat Res, Gaustadalleen 21, N-0349 Oslo, Norway
[2] Norwegian Inst Nat Res, POB 5685 Torgarden, N-7485 Trondheim, Norway
[3] Norwegian Inst Nat Res, Vormstuguvegen 40, N-2624 Lillehammer, Norway
关键词
ecological restoration; freshwater and rivers; integration; SER Primer; socioeconomic; standardize; terrestrial ecosystems; WETLAND RESTORATION; ECOLOGY; STREAMS; SITES;
D O I
10.1111/rec.13149
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The Society for Ecological Restoration (SER) Primer identifies key ecosystem attributes for evaluating restoration outcome. Broad attribute categories could be necessary due to the large variety of restoration projects, but could make overall evaluations and assessments challenging and might hamper the development of sound and successful restoration. In this study we carry out a systematic review of scientific papers addressing evaluation of restoration outcome. We include 104 studies published after 2010 from Europe or North America, representing different types of restoration projects in terrestrial and freshwater ecosystems. We explore the main ecological and socioeconomic attributes used to evaluate restoration outcome, and related indicators and specific methods applied to measure this, in relation to ecosystem and type of restoration project. We identify a wide range of indicators within each attribute, and show that very different methods are employed to measure them. This complexity reduces the opportunity for meaningful comparison and standardization of evaluation of restoration outcome, within and between ecosystems. Socioeconomic indicators are rarely used to evaluate restoration outcome, and studies including both ecological and socioeconomic indicators are nearly absent. Based on our findings we discuss whether standardization and streamlining of indicators is useful to improve the evaluation of "on the ground" restoration, or if this is not appropriate given the diversity of goals and ecosystems involved. Species-specific traits are used in many projects and should be considered as an addition to the original SER attributes. Furthermore, we discuss the potential for restoration evaluation that encompasses not only assessment of ecological but also socioeconomic indicators.
引用
收藏
页码:519 / 531
页数:13
相关论文
共 50 条
  • [31] From Troubled Ground to Common Ground: The Locust Grove African-American Cemetery restoration project: A case study of service-learning and community history
    Burg, Steven B.
    PUBLIC HISTORIAN, 2008, 30 (02): : 51 - 82
  • [32] Explanations of Success and Failure in Management Learning: What Can We Learn From Nokia's Rise and Fall?
    Laamanen, Tomi
    Lamberg, Juha-Antti
    Vaara, Eero
    ACADEMY OF MANAGEMENT LEARNING & EDUCATION, 2016, 15 (01) : 2 - 25
  • [33] Clarifying the concept of a learning health system for healthcare delivery organizations: Implications from a qualitative analysis of the scientific literature
    Easterling, Douglas
    Perry, Anna C.
    Woodside, Rachel
    Patel, Tanha
    Gesell, Sabina B.
    LEARNING HEALTH SYSTEMS, 2022, 6 (02):
  • [34] Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science
    Yang, Huichen
    Aguirre, Carlos A.
    De La Torre, Maria F.
    Christensen, Derek
    Bobadilla, Luis
    Davich, Emily
    Roth, Jordan
    Luo, Lei
    Theis, Yihong
    Lam, Alice
    Han, T. Yong-Jin
    Buttler, David
    Hsu, William H.
    2019 INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION WORKSHOPS (ICDARW) AND 2ND INTERNATIONAL WORKSHOP ON OPEN SERVICES AND TOOLS FOR DOCUMENT ANALYSIS (OST), VOL 2, 2019, : 41 - 46
  • [35] From Novice To Expert: An Assessment To Measure Strategies Students Implement While Learning To Read Primary Scientific Literature
    Lee, Sangah
    Zhong, Min
    Foster, Cerrone
    Segura-Totten, Miriam
    McCartney, Melissa
    JOURNAL OF MICROBIOLOGY & BIOLOGY EDUCATION, 2022, 23 (03)
  • [36] Learning from Sustained Success: How Community-Driven Initiatives to Improve Urban Sanitation Can Meet the Challenges
    McGranahan, Gordon
    Mitlin, Diana
    WORLD DEVELOPMENT, 2016, 87 : 307 - 317
  • [37] Predicting the Composition and Mechanical Properties of Seaweed Bioplastics from the Scientific Literature: A Machine Learning Approach for Modeling Sparse Data
    Ibarra-Perez, Davor
    Faba, Simon
    Hernandez-Munoz, Valentina
    Smith, Charlene
    Galotto, Maria Jose
    Garmulewicz, Alysia
    APPLIED SCIENCES-BASEL, 2023, 13 (21):
  • [38] LEARNING FEW-SHOT CHEST X-RAY DIAGNOSIS USING IMAGES FROM THE PUBLISHED SCIENTIFIC LITERATURE
    Paul, Angshuman
    Shen, Thomas C.
    Peng, Yifan
    Lu, Zhiyong
    Summers, Ronald M.
    2021 IEEE 18TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), 2021, : 344 - 348
  • [39] A semi-supervised, weighted pattern-learning approach for extraction of gene regulation relationships from scientific literature
    Tang, Yi-Tsung
    Kao, Hung-Yu
    Tsai, Shaw-Jenq
    Wang, Hei-Chia
    INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS, 2014, 9 (04) : 401 - 416
  • [40] Head in the clouds, feet on the ground: how transdisciplinary learning can foster transformative change—insights from a summer school
    Sara Atienza Casas
    Camille Calicis
    Sebastian Candiago
    Nicolas Dendoncker
    Jomme Desair
    Thomas Fickel
    Eirik Aasmo Finne
    Christine Frison
    Maria Haensel
    Malte Hinsch
    Tyler Kulfan
    Joy A. Kumagai
    Oleksandr Mialyk
    Maximilian Nawrath
    Fiona Nevzati
    Carla Washbourne
    Thea Wübbelmann
    Biodiversity and Conservation, 2023, 32 : 3533 - 3568