An ontological system based on MODIS images to assess ecosystem functioning of Natura 2000 habitats: A case study for Quercus pyrenaica forests

Pérez‐Luque, Antonio J.; Pérez-Pérez, Ramón; Bonet‐García, Francisco J.; Magaña, Pedro

doi:10.1016/j.jag.2014.09.003

Cited by 17 publications

(11 citation statements)

References 61 publications

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“…Mapping is performed through various classification approaches, including both knowledge (Lucas et al 2015;Pérez-Luque et al 2015;Petrou et al 2014;Adamo et al 2014) and data driven (Paneque-Gálvez et al 2013;Forzieri et al 2013;Chan et al 2012) ones. The former provide the flexibility to incorporate expert knowledge in the classifier and achieve rational classification results even in special cases or classes not included in the particular training site, although with the expense of labour and time consuming trial-and-error rule fine-tuning.…”

Section: Terrestrial Mappingmentioning

confidence: 99%

Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets

2015

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Recognizing the imperative need for biodiversity protection, the Convention on Biological Diversity (CBD) has recently established new targets towards 2020, the so-called Aichi targets, and updated proposed sets of indicators to quantitatively monitor the progress towards these targets. Remote sensing has been increasingly contributing to timely, accurate, and cost-effective assessment of biodiversity-related characteristics and functions during the last years. However, most relevant studies constitute individual research efforts, rarely related with the extraction of widely adopted CBD biodiversity indicators. Furthermore, systematic operational use of remote sensing data by managing authorities has still been limited. In this study, the Aichi targets and the related CBD indicators whose monitoring can be facilitated by remote sensing are identified. For each headline indicator a number of recent remote sensing approaches able for the extraction of related properties are reviewed. Methods cover a wide range of fields, including: habitat extent and condition monitoring; species distribution; pressures from unsustainable management, pollution and climate change; ecosystem service monitoring; and conservation status assessment of protected areas. The advantages and limitations of different remote sensing data and algorithms are discussed. Sorting of the methods based on their reported accuracies is attempted, when possible. The extensive literature survey aims at reviewing highly performing methods that can be used for large-area, effective, and timely biodiversity assessment, to encourage the more systematic use of remote sensing solutions in monitoring progress towards the Aichi targets, and to decrease the gaps between the remote sensing and management communities.

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Section: Terrestrial Mappingmentioning

confidence: 99%

Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets

2015

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“…The differences among populations based on environmental variables obtained in our study are in line with differential ecological dynamics reported for Q. pyrenaica forests in the Sierra Nevada by other studies. For instance, primary productivity of these forest measured using remote sensing showed a heterogeneous spatial behavior, with oak woodlands of the southern slopes displaying a greater annual vegetation greenness than those from the northern slopes [11,77,78]. In addition, differences have been found in both seasonal dynamics of greenness [77], and in temporal trends for primary productivity in the last few years related with differential snow-cover trends in contrasting slopes [78,79].…”

Section: Resultsmentioning

confidence: 99%

Ecological Diversity within Rear-Edge: A Case Study from Mediterranean Quercus pyrenaica Willd.

Pérez‐Luque

Benito

Bonet‐García

et al. 2020

Forests

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Understanding the ecology of populations located in the rear edge of their distribution is key to assessing the response of the species to changing environmental conditions. Here, we focus on rear-edge populations of Quercus pyrenaica in Sierra Nevada (southern Iberian Peninsula) to analyze their ecological and floristic diversity. We perform multivariate analyses using high-resolution environmental information and forest inventories to determine how environmental variables differ among oak populations, and to identify population groups based on environmental and floristic composition. We find that water availability is a key variable in explaining the distribution of Q. pyrenaica and the floristic diversity of their accompanying communities within its rear edge. Three cluster of oak populations were identified based on environmental variables. We found differences among these clusters regarding plant diversity, but not for forest attributes. A remarkable match between the populations clustering derived from analysis of environmental variables and the ordination of the populations according to species composition was found. The diversity of ecological behaviors for Q. pyrenaica populations in this rear edge are consistent with the high genetic diversity shown by populations of this oak in the Sierra Nevada. The identification of differences between oak populations within the rear-edge with respect to environmental variables can aid with planning the forest management and restoration actions, particularly considering the importance of some environmental factors in key ecological aspects.

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“…-In principle yes, however, there are details missing, see next R2. -Thank you very much for the comment, as shown by numerous works cited in the manuscript (section 4), ecological research based on spectral vegetation indices plays an important role in biodiversity conservation (Cabello et al, 2012;Pettorelli, 2016Pettorelli, , 2018 and management (Pelkey et al, 2003;Cabello et al, 2016) and for the study of biodiversity and ecosystems responses to environmental changes (Pérez-Luque et al, 2015;Alcaraz-Segura et al, 2017). In particular, our dataset provides valuable information to the scientific community as an example of a novel and straightforward characterization of functional diversity at ecosystem level developed for an entire protected area.…”

Section: Interactive Commentmentioning

confidence: 99%

Response to referee 2 comments on “A remote sensing-based dataset to characterize the ecosystem functioning and functional diversity of a Biosphere Reserve: Sierra Nevada (SE Spain)” by Beatriz P. Cazorla et al.

Cazorla¹

2020

Preprint

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Many thanks for your correspondence regarding our data description paper entitled "A remote sensing-based dataset to characterize the ecosystem functioning and functional diversity of a Biosphere Reserve: Sierra Nevada (SE Spain)". We thank you for all your constructive comments, which provided valuable insights to improve the conceptual and methodological robustness of our data and our manuscript.

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An ontological system based on MODIS images to assess ecosystem functioning of Natura 2000 habitats: A case study for Quercus pyrenaica forests

Cited by 17 publications

References 61 publications

Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets

Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets

Ecological Diversity within Rear-Edge: A Case Study from Mediterranean Quercus pyrenaica Willd.

Response to referee 2 comments on “A remote sensing-based dataset to characterize the ecosystem functioning and functional diversity of a Biosphere Reserve: Sierra Nevada (SE Spain)” by Beatriz P. Cazorla et al.

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