Invasive alien species and local communities in socio-ecological production landscapes and seascapes: A systematic review and analysis

Kelsch, Alexander; Takahashi, Yasuo; Dasgupta, Rajarshi; Mader, André; Johnson, Brian Alan; Kumar, Pankaj

doi:10.1016/j.envsci.2020.06.014

Cited by 8 publications

(3 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Dynamic mosaics of habitats and land and sea uses where the harmonious human-nature interaction maintains both biodiversity and human well-being. (Nishi & Yamazaki, 2020) Partly (Kelsch et al, 2020) Urban agriculture, urban farming…”

Section: Socioecological Production Landscapesmentioning

confidence: 99%

Defining edible landscapes: a multilingual systematic review

Rupprecht¹,

Gärtner²,

Cui³

et al. 2023

Preprint

View full text Add to dashboard Cite

The concept of edible landscapes seeks to combine a participatory approach to food production with wider concerns about well-designed, sustainable human-landscape relationships. Despite its decade-long history and seeming potential for holistically addressing multiple intertwined socio-ecological crises, the concept has received much less attention than related ideas such as green infrastructure or nature-based solutions. We conducted a systematic, multilingual review of 79 studies to understand how edible landscapes are defined, what their characteristics are, what trends exist in the literature, and how edible landscapes can be situated in the broader context of food production. Findings suggest that no clear definition of the term ‘edible landscape’ currently exists, although the implicit consensus is that edible landscapes feature food production as well as an aesthetic contribution. The literature holds high expectations but provides only limited empirical evidence for benefits. Edible landscape frames a unique conceptual space, which we visualize by placing it in relation with related concepts. We then propose two concise, genus-differentia definitions as a basis for academic debate, one of which expands the concept to include multispecies agency in designing landscapes. We conclude with a call for more empirical as well as theory-focused research to facilitate edible landscapes’ contributions to more sustainable human-nature relationships.

show abstract

Section: Socioecological Production Landscapesmentioning

confidence: 99%

Defining edible landscapes: a multilingual systematic review

Rupprecht¹,

Gärtner²,

Cui³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Many non‐native species have been intentionally introduced to their new ranges for their perceived benefits (e.g., Kelsch et al., 2020), and it is generally accepted that not all non‐native species are equally harmful. Conversely, accounting for the benefits of non‐native species is important when making decisions about their management and regulation in order to avoid or minimize conflicts (e.g., Vimercati et al., 2020; Zengeya et al., 2017).…”

Section: Socioeconomic Impacts and Benefitsmentioning

confidence: 99%

Using the IUCN Environmental Impact Classification for Alien Taxa to inform decision‐making

Kumschick,

Bertolino,

Blackburn

et al. 2023

Conservation Biology

View full text Add to dashboard Cite

The Environmental Impact Classification for Alien Taxa (EICAT) is an important tool for biological invasion policy and management and has been adopted as an International Union for Conservation of Nature (IUCN) standard to measure the severity of environmental impacts caused by organisms living outside their native ranges. EICAT has already been incorporated into some national and local decision‐making procedures, making it a particularly relevant resource for addressing the impact of non‐native species. Recently, some of the underlying conceptual principles of EICAT, particularly those related to the use of the precautionary approach, have been challenged. Although still relatively new, guidelines for the application and interpretation of EICAT will be periodically revisited by the IUCN community, based on scientific evidence, to improve the process. Some of the criticisms recently raised are based on subjectively selected assumptions that cannot be generalized and may harm global efforts to manage biological invasions. EICAT adopts a precautionary principle by considering a species’ impact history elsewhere because some taxa have traits that can make them inherently more harmful. Furthermore, non‐native species are often important drivers of biodiversity loss even in the presence of other pressures. Ignoring the precautionary principle when tackling the impacts of non‐native species has led to devastating consequences for human well‐being, biodiversity, and ecosystems, as well as poor management outcomes, and thus to significant economic costs. EICAT is a relevant tool because it supports prioritization and management of non‐native species and meeting and monitoring progress toward the Kunming–Montreal Global Biodiversity Framework (GBF) Target 6.

show abstract

“…On the other hand, invasive species also cause economic losses due to the expense invested in their management, productivity reduction caused by overgrowing, and the altered use values of ecosystem services [12,13]. Additionally, invasive species affect human well-being through disruptions of natural environmental conditions and loss of landscape aesthetics [14][15][16]. As the impacts of INWS on the alpine grassland ecosystem of the Qinghai-Tibetan Plateau (QTP) have lasted for decades and pose a series of severe ecological, economic, and social risks, effectively understanding and managing invasive species are particularly essential for the sustainable development of ecosystems [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Mapping the Continuous Cover of Invasive Noxious Weed Species Using Sentinel-2 Imagery and a Novel Convolutional Neural Regression Network

Xing,

An,

Guo

et al. 2024

Remote Sensing

View full text Add to dashboard Cite

Invasive noxious weed species (INWS) are typical poisonous plants and forbs that are considered an increasing threat to the native alpine grassland ecosystems in the Qinghai–Tibetan Plateau (QTP). Accurate knowledge of the continuous cover of INWS across complex alpine grassland ecosystems over a large scale is required for their control and management. However, the cooccurrence of INWS and native grass species results in highly heterogeneous grass communities and generates mixed pixels detected by remote sensors, which causes uncertainty in classification. The continuous coverage of INWS at the pixel level has not yet been achieved. In this study, objective 1 was to test the capability of Senginel-2 imagery at estimating continuous INWS cover across complex alpine grasslands over a large scale and objective 2 was to assess the performance of the state-of-the-art convolutional neural network-based regression (CNNR) model in estimating continuous INWS cover. Therefore, a novel CNNR model and a random forest regression (RFR) model were evaluated for estimating INWS continuous cover using Sentinel-2 imagery. INWS continuous cover was estimated directly from Sentinel-2 imagery with an R2 ranging from 0.88 to 0.93 using the CNNR model. The RFR model combined with multiple features had a comparable accuracy, which was slightly lower than that of the CNNR model, with an R2 of approximately 0.85. Twelve green band-, red-edge band-, and near-infrared band-related features had important contributions to the RFR model. Our results demonstrate that the CNNR model performs well when estimating INWS continuous cover directly from Sentinel-2 imagery, and the RFR model combined with multiple features derived from the Sentinel-2 imager can also be used for INWS continuous cover mapping. Sentinel-2 imagery is suitable for mapping continuous INWS cover across complex alpine grasslands over a large scale. Our research provides information for the advanced mapping of the continuous cover of invasive species across complex grassland ecosystems or, more widely, terrestrial ecosystems over large spatial areas using remote sensors such as Sentinel-2.

show abstract

Invasive alien species and local communities in socio-ecological production landscapes and seascapes: A systematic review and analysis

Cited by 8 publications

References 42 publications

Defining edible landscapes: a multilingual systematic review

Defining edible landscapes: a multilingual systematic review

Using the IUCN Environmental Impact Classification for Alien Taxa to inform decision‐making

Mapping the Continuous Cover of Invasive Noxious Weed Species Using Sentinel-2 Imagery and a Novel Convolutional Neural Regression Network

Contact Info

Product

Resources

About