Closing the research-implementation gap: Integrating species and human footprint data into Argentina's forest planning

Martinuzzi, Sebastián; Olah, Ashley M.; Rivera, Luis; Politi, Natalia; Silveira, Eduarda M.O.; Pastur, Guillermo Martínez; Rosas, Yamina M.; Lizarraga, Leonidas; Názaro, Paula; Bardavid, Sofia; Radeloff, Volker C.; Pidgeon, Anna M.

doi:10.1016/j.biocon.2023.110257

Cited by 4 publications

(5 citation statements)

References 80 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Besides, these FT classifications can successfully identify the diversity of FT across the landscape, which is closely related to the studied proxies, e.g. SOC content [23] and species richness [22]. These relationships confirmed the findings where SOC and biodiversity are closely related at landscape level [73,74], as well as findings about the role of SOC in the support of structure and productivity of native forest ecosystems (e.g.…”

Section: Discussionsupporting

confidence: 76%

“…multi-specific forests represented near the 80% of the FT) with higher number of FT at each phenocluster category (between 9 and 49). The different forest regions in Argentina were identified as highly variable in their ecological and structure characteristics across the landscape, and supporting different biodiversity values [22,27,39].…”

Section: Discussionmentioning

confidence: 91%

“…However, these methods can fail to correspond with the current vegetation, since this is defined by the interaction between the potential vegetation and multiple factors, such as human activities, species interactions, and biogeographical history [57]. The second proxy used in FT classifications was the land use or land cover types, mainly based on satellite imagery [7,22,33,63] using the normalised difference vegetation index (NDVI) and other related indexes [64,65]. However, the coarse data resolution, and the limited number of vegetation types used, resulted in a forest type distribution with relatively low accuracy [57].…”

Section: Discussionmentioning

confidence: 99%

“…This layer includes 54 categories divided by forest regions as it was described before. To test the performance of the phenoclusters as potential FT classification, we used different available products for the forest regions across Argentina, including: (i) Potential biodiversity index (RICH) developed by Martinuzzi et al [22] for the different forest regions, except the Monte forests where few available native forest data exists. This layer presents one index (0-100) based on the potential habitat of indicator species by forest region (n = 80 high-profile species of trees, birds and mammals associated with native forests and representative of each specific forest regions), and is available in a GRID of 1-km spatial resolution.…”

Section: Forest Type Classification Based On Phenoclustersmentioning

confidence: 99%

“…Many tools at country level were developed to improve the management and conservation of native forests, e.g. land cover [19,20], forest structure variables [21], potential biodiversity indices [22], soil carbon stocks [23], hotspots of biodiversity conservation concern [24], or human foot-print modelling [7].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Different Approaches of Forest Type Classifications for Argentina Based on Functional Forests and Canopy-Cover Composition by Tree Species

Martínez Pastur,

Loto,

Rodríguez-Souilla

et al. 2024

Preprint

View full text Add to dashboard Cite

Modern forestry systems are based upon typologies of forest types (FT). Many proposals were developed in Argentina, but without following unified criteria. The objective was to compare different approaches based on (i) functional forests (phenoclusters), and (ii) forest canopy-cover composition by tree species. We employed data of National Forest Inventories, forest models and climate data, comparing the proposals using univariate analyses. We test the performance of phenoclusters to differentiate the variability of native forests (proxy: forest structure), biodiversity (proxy: indicator species) and environment (proxies: soil carbon stock, elevation, climate). We proposed a simple forest type classification methodology based on species composition, considering basal area of tree species. Finally, we compared the performance of both proposals. In regions where monospecific forests are predominant, the classifications based on forest canopy-cover composition are feasible, but phenoclusters allowing to increase the complexity at landscape level. In those regions were predominant multi-specific stands, the classifications based on forest canopy-cover composition are useless, and phenoclusters allowing to decrease the complexity at landscape level. These results allowing to harmonize national FT classifications by using criteria and indicators to achieve sustainable forest management and conservation proposals.

show abstract

Section: Discussionsupporting

confidence: 76%

Section: Discussionmentioning

confidence: 91%

Section: Discussionmentioning

confidence: 99%

Section: Forest Type Classification Based On Phenoclustersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Different Approaches of Forest Type Classifications for Argentina Based on Functional Forests and Canopy-Cover Composition by Tree Species

Martínez Pastur,

Loto,

Rodríguez-Souilla

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

Integrating habitat risk and landscape resilience in forest protection and restoration planning for biodiversity conservation

Tan,

Xu,

Hong

et al. 2024

Landscape and Urban Planning

View full text Add to dashboard Cite

Identifying medium- and large-sized mammal species sensitive to anthropogenic impacts for monitoring in subtropical montane forests

Bardavid,

Rivera,

Martinuzzi

et al. 2024

Envir. Conserv.

View full text Add to dashboard Cite

Summary Medium- and large-sized mammals play important roles in maintaining forest ecosystem functions, and these functions often diminish when mammal species are depleted by human activities. Understanding the sensitivity or tolerance of mammal species to human pressure and detecting species changes through monitoring programmes can inform appropriate management decisions. The objective of our study was to identify medium- and large-sized mammal species that can be included in a monitoring programme in the Southern Yungas of Argentina. We used occupancy modelling to estimate the probability of habitat use (ψ) of 13 of 25 mammal species detected by 165 camera traps placed in forests across a range of human footprint index (HFI) values. As defined by the HFI, 54% of the study area is wilderness. The probabilities of habitat use of two mammal species were significantly associated with the HFI: the lowland tapir (Tapirus terrestris; ψ = 0.33, range = 0.22–0.50) was inversely associated with HFI values, whereas the grey brocket deer (Mazama gouazoubira; ψ = 0.79, range = 0.67–0.87) was positively associated with the HFI. Monitoring the probability of habitat use of the sensitive species (lowland tapir) could help us to detect changes in areas experiencing anthropogenic impacts before they cause extirpation, whereas the high probability of the habitat use values of the tolerant species (grey brocket deer) might indicate that anthropogenic impacts are strongly influencing habitat, signalling that mitigation strategies might be warranted. The Southern Yungas retains an intact mammal fauna, and we showed that the HFI is useful for monitoring anthropogenic impacts on these mammals. There are still opportunities to develop conservation strategies to minimize threats to mammal species in the region by implementing a monitoring programme with the proposed species.

show abstract

Closing the research-implementation gap: Integrating species and human footprint data into Argentina's forest planning

Cited by 4 publications

References 80 publications

Different Approaches of Forest Type Classifications for Argentina Based on Functional Forests and Canopy-Cover Composition by Tree Species

Different Approaches of Forest Type Classifications for Argentina Based on Functional Forests and Canopy-Cover Composition by Tree Species

Integrating habitat risk and landscape resilience in forest protection and restoration planning for biodiversity conservation

Identifying medium- and large-sized mammal species sensitive to anthropogenic impacts for monitoring in subtropical montane forests

Contact Info

Product

Resources

About