Identifying priority areas for national-level conservation to achieve Aichi Target 11: A case study of using terrestrial birds breeding in Japan

Naoe, Shoji; Katayama, Naoki; Amano, Tatsuya; Akasaka, Munemitsu; Yamakita, Takehisa; Ueta, Mayumi; Matsuba, Misako; Miyashita, Tadashi

doi:10.1016/j.jnc.2014.10.002

Cited by 26 publications

(20 citation statements)

References 55 publications

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“…General application Examples Specific issues Examples Conservation Identification of priority areas for bird conservation Guisan et al 2013, Frick et al 2014 Seabirds and marine environments Lavers et al 2014 Identifying protected areas to meet specific targets Naoe et al 2015 Identifying no-go areas to reduce human-wildlife conflicts in wind power planning Reid et al 2015 Identifying specific habitats for certain species needs Brambilla and Saporetti 2014 Validating umbrella species to match conservation goals Fourcade et al 2017 Evaluating or forecasting the effect of environmental changes Green et al 2008 Future effectiveness of protected areas over different spatial scales Coetzee et al 2009, Hole et al 2009, Veloz et al 2013, Virkkala et al 2013, Brambilla et al 2015 Kissling 2013, Tracewski et al 2016 Including changes in demography Haché et al 2016 Including nest predation and food limitation Harris et al 2012 Including wind farm construction Bastos et al 2016 Invasive birds Predictions of invasion risk Muñoz and Real 2006, Nyári et al 2006, Real et al 2008, Strubbe and Matthysen 2009, Herrando et al 2010, Di Febbraro and Mori 2015, Fraser et al 2015 Range dynamics under climate change Huntley et al 2007, Reino et al 2009, Graham et al 2011 (Continued) …”

Section: Topicmentioning

confidence: 99%

Avian SDMs: current state, challenges, and opportunities

Engler

Stiels

Schidelko

et al. 2017

Journal of Avian Biology

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Quantifying species distributions using species distribution models (SDMs) has emerged as a central method in modern biogeography. These empirical models link species occurrence data with spatial environmental information. Since their emergence in the 1990s, thousands of scientific papers have used SDMs to study organisms across the entire tree of life, with birds commanding considerable attention. Here, we review the current state of avian SDMs and point to challenges and future opportunities for specific applications, ranging from conservation biology, invasive species and predicting seabird distributions, to more general topics such as modeling avian diversity, niche evolution and seasonal distributions at a biogeographic scale. While SDMs have been criticized for being phenomenological in nature, and for their inability to explicitly account for a variety of processes affecting populations, we conclude that they remain a powerful tool to learn about past, current, and future species distributions -at least when their limitations and assumptions are recognized and addressed. We close our review by providing an outlook on prospects and synergies with other disciplines in which avian SDMs can play an important role.

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Section: Topicmentioning

confidence: 99%

Avian SDMs: current state, challenges, and opportunities

Engler

Stiels

Schidelko

et al. 2017

Journal of Avian Biology

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“…In steep montane landscapes, where forested ecosystems are often preserved (e.g. Naoe et al 2015), elevational distances can be sufficiently large to cause differences in annual temperature between stands, even those separated by small horizontal distances. Thus, temporal patterns of masting might change along elevational gradients.…”

Section: Introductionmentioning

confidence: 99%

Horizontal and elevational patterns of masting across multiple species in a steep montane landscape from the perspective of forest mammal management

Masaki

Naoe

et al. 2020

Journal of Forest Research

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Masting of trees affects the activity of large mammals that feed on their fruits, but the spatial patterns of masting at the scale of mammal home ranges across multiple tree species have rarely been investigated. Furthermore, the effects of elevation, which may affect site productivity and thereby alter temporal patterns of masting, have often been ignored. We investigated fruit production by 403 trees of six species that are preferred by Asian black bears over 10 years within a 30 × 30-km 2 landscape at 700-1600 m elevations, as well as the horizontal and elevational structures of intraspecies and interspecies synchrony. Higher elevation was related to greater temporal variation in fruiting for Quercus crispula. Among heterospecific relationships, two Quercus species and Swida controversa showed fruiting synchrony, whereas Prunus grayana produced more fruit when Quercus and Swida produced less. Fagus crenata and Castanea crenata did not exhibit masting synchrony, neither positive nor negative, with other species. Spatially, most tested species showed positive autocorrelations with horizontal distance, particularly between close trees (4-10 km), whereas autocorrelations with elevational difference showed negligible spatial structure across elevational distance. Positive spatial correlations between different species were found only for the two Quercus species. These findings imply that variation in movement patterns among individual Asian black bears should be greater in Quercus mast years and that most bears will range more widely than average in non-mast years for Quercus.

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“…Therefore, MaxEnt has been widely applied to quantify the relationship between species distribution and environmental factors and to predict the potential distribution of species [19]. The model can also be used to evaluate habitat suitability for species, such as in some waterfowl habitat evaluation [13,20,21].…”

Section: Introductionmentioning

confidence: 99%

Potential Suitable Habitat Distribution and Conservation Strategy for the Siberian Crane (<i>Grus leucogeranus</i>) at Spring Stopover Sites in Northeastern China

Wen

Xiong

et al. 2020

Pol. J. Environ. Stud.

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The wetlands where the migratory waterfowl stop during their migration, also called stopover wetlands, are important nodes where migratory waterfowl supplement their energy and food. The Siberian crane (Grus leucogeranus), a wetland obligate endangered species, is highly dependent on a series of stopovers on the migration route. Although some conservation measures have been adopted in China, it is still necessary to develop an appropriate management strategy to preserve this endangered species at different stopover areas. This paper used maximum entropy modeling to evaluate habitat suitability for the migration of the Siberian crane. We found that vegetation community type and water depth are the most important factors affecting the distribution of the Siberian crane during the migration period. For Siberian crane migration, the most suitable water depth does not exceed 60 cm, the desirable land cover type is swamp, the most suitable community is Phragmites-Sparganium, the most suitable vegetation coverage is from 8% to 35%, the distance from a residential area is over 2800 m, and the distance from a road is over 2000 m. On this basis, some specific conservation strategies are proposed for better protection and management of the Siberian crane's habitat. These results can serve as a reference point for the preservation and management of the potential habitats of similar endangered waterfowl.

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Identifying priority areas for national-level conservation to achieve Aichi Target 11: A case study of using terrestrial birds breeding in Japan

Cited by 26 publications

References 55 publications

Avian SDMs: current state, challenges, and opportunities

Avian SDMs: current state, challenges, and opportunities

Horizontal and elevational patterns of masting across multiple species in a steep montane landscape from the perspective of forest mammal management

Potential Suitable Habitat Distribution and Conservation Strategy for the Siberian Crane (<i>Grus leucogeranus</i>) at Spring Stopover Sites in Northeastern China

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